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ORCIDDeniz Erdogmus
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- affiliation: Northeastern University, Boston, USA
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2020 – today
- 2025
[j124]Michael Potter
, Murat Akçakaya, Marius Necsoiu, Gunar Schirner, Deniz Erdogmus, Tales Imbiriba:
Multistatic-Radar RCS-Signature Recognition of Aerial Vehicles: A Bayesian Fusion Approach. IEEE Trans. Aerosp. Electron. Syst. 61(1): 151-161 (2025)- [j123]Ahmet Demirkaya, Kyle Lockwood, Georgios Stratis, Tales Imbiriba, Iulian Ilies, Sumientra Rampersad, Elie Alhajjar, Giovanna Guidoboni, Zachary C. Danziger, Deniz Erdogmus:
A Hybrid ODE-NN Framework for Modeling Incomplete Physiological Systems. IEEE Trans. Biomed. Eng. 72(4): 1377-1386 (2025) - [c226]Paul Ghanem, Ahmet Demirkaya, Tales Imbiriba, Alireza Ramezani, Zachary Danziger, Deniz Erdogmus:
Learning Physics Informed Neural ODEs with Partial Measurements. AAAI 2025: 16799-16807 - [c225]Elifnur Sunger, Yunus Bicer, Deniz Erdogmus, Tales Imbiriba:
MarkovType: A Markov Decision Process Strategy for Non-Invasive Brain-Computer Interfaces Typing Systems. AAAI 2025: 28422-28430 - [c224]Somaieh Amraee, Eva Blanco-Mallo, Deniz Erdogmus, Aston McCullough, Matthew S. Goodwin, Sarah Ostadabbas:
Advancing Multi-Person Tracking for Autism Behavior Analysis: Challenges, Opportunities, and Future Directions in Clinical Settings. WACV (Workshops) 2025: 73-82 - [i71]Beyza Kalkanli, Tales Imbiriba, Stratis Ioannidis, Deniz Erdogmus, Jennifer G. Dy:
Dependency-aware Maximum Likelihood Estimation for Active Learning. CoRR abs/2503.05969 (2025) - [i70]Michael Potter, Beyza Kalkanli, Deniz Erdogmus, Michael Everett:
Active Learning For Repairable Hardware Systems With Partial Coverage. CoRR abs/2503.16315 (2025) - [i69]Paul Ghanem, Michael Potter, Owen Howell, Pau Closas, Alireza Ramezani, Deniz Erdogmus, Tales Imbiriba:
Recursive Deep Inverse Reinforcement Learning. CoRR abs/2504.13241 (2025) - 2024
- [j122]Md Navid Akbar, Sebastian F. Ruf, Ashutosh Singh, Razieh Faghihpirayesh, Rachael Garner, Alexis Bennett, Celina Alba, Marianna La Rocca, Tales Imbiriba, Deniz Erdogmus, Dominique Duncan:
Advancing post-traumatic seizure classification and biomarker identification: Information decomposition based multimodal fusion and explainable machine learning with missing neuroimaging data. Comput. Medical Imaging Graph. 115: 102386 (2024) - [j121]Mehrshad Zandigohar, Mo Han, Mohammadreza Sharif, Sezen Yagmur Günay, Mariusz P. Furmanek, Mathew Yarossi, Paolo Bonato, Cagdas D. Onal, Taskin Padir, Deniz Erdogmus, Gunar Schirner:
Multimodal fusion of EMG and vision for human grasp intent inference in prosthetic hand control. Frontiers Robotics AI 11 (2024) - [j120]Niklas Smedemark-Margulies, Yunus Bicer, Elifnur Sunger, Tales Imbiriba, Eugene Tunik, Deniz Erdogmus, Mathew Yarossi, Robin Walters:
Fast and Expressive Gesture Recognition using a Combination-Homomorphic Electromyogram Encoder. Trans. Mach. Learn. Res. 2024 (2024) - [c223]Connor Mclaughlin, Matthew Ding, Deniz Erdogmus, Lili Su:
Byzantine-Resilient Collaborative Hierarchical Non-Bayesian Learning. IEEECONF 2024: 1013-1019 - [c222]Mateusz Wolak, Garrit Strenge, Yunus Bicer, Kyle Lockwood, Mariusz P. Furmanek, Taskin Padir, Mathew Yarossi, Deniz Erdogmus, Eugene Tunik:
Anticipatory Gaze Dynamics in Human-to-Human Object Handover. EMBC 2024: 1-4 - [c221]Ashutosh Singh, Ricardo Augusto Borsoi, Deniz Erdogmus, Tales Imbiriba:
Learning semilinear neural operators: A unified recursive framework for prediction and data assimilation. ICLR 2024 - [c220]Jian Wang, Razieh Faghihpirayesh, Deniz Erdogmus, Ali Gholipour:
Joint Motion Estimation with Geometric Deformation Correction for Fetal Echo Planar Images Via Deep Learning. MIDL 2024: 1640-1651 - [d3]Helena Calatrava, Bhavya Duvvuri, Haoqing Li, Ricardo Augusto Borsoi, Tales Imbiriba, Edward Beighley, Deniz Erdogmus, Pau Closas:
RBC-SatImg: Sentinel-2 Imagery and WatData Labels for Water Mapping. Version 03. Zenodo, 2024 [all versions]
- [i68]Ashutosh Singh, Ricardo Augusto Borsoi, Deniz Erdogmus, Tales Imbiriba:
Learning Semilinear Neural Operators : A Unified Recursive Framework For Prediction And Data Assimilation. CoRR abs/2402.15656 (2024) - [i67]Michael Potter, Murat Akçakaya, Marius Necsoiu, Gunar Schirner, Deniz Erdogmus, Tales Imbiriba:
Multistatic-Radar RCS-Signature Recognition of Aerial Vehicles: A Bayesian Fusion Approach. CoRR abs/2402.17987 (2024) - [i66]Michael Potter, Shuo Tang, Paul Ghanem, Milica Stojanovic, Pau Closas, Murat Akçakaya, Ben Wright, Marius Necsoiu, Deniz Erdogmus, Michael Everett, Tales Imbiriba:
Continuously Optimizing Radar Placement with Model Predictive Path Integrals. CoRR abs/2405.18999 (2024) - [i65]Ashutosh Singh, Ashish Singh, Tales Imbiriba, Deniz Erdogmus, Ricardo Augusto Borsoi:
KODA: A Data-Driven Recursive Model for Time Series Forecasting and Data Assimilation using Koopman Operators. CoRR abs/2409.19518 (2024) - [i64]Paul Ghanem, Ahmet Demirkaya, Tales Imbiriba, Alireza Ramezani, Zachary Danziger, Deniz Erdogmus:
Learning Physics Informed Neural ODEs With Partial Measurements. CoRR abs/2412.08681 (2024) - [i63]Elifnur Sunger, Yunus Bicer, Deniz Erdogmus, Tales Imbiriba:
MarkovType: A Markov Decision Process Strategy for Non-Invasive Brain-Computer Interfaces Typing Systems. CoRR abs/2412.15862 (2024) - 2023
- [j119]Bahar Azari, Deniz Erdogmus:
Circular-symmetric correlation layer. Mach. Learn. 112(2): 611-631 (2023) - [j118]Ricardo Augusto Borsoi, Deniz Erdogmus, Tales Imbiriba:
Learning Interpretable Deep Disentangled Neural Networks for Hyperspectral Unmixing. IEEE Trans. Computational Imaging 9: 977-991 (2023) - [c219]Paul Ghanem, Yunus Bicer, Deniz Erdogmus, Alireza Ramezani:
Fast Estimation of Morphing Wing Flight Dynamics Using Neural Networks and Cubature Rules. CDC 2023: 8830-8835 - [c218]Ricardo Augusto Borsoi, Tales Imbiriba, Deniz Erdogmus:
A Deep Disentangled Approach for Interpretable Hyperspectral Unmixing. ICASSP 2023: 1-2 - [c217]Ashutosh Singh, Ashish Singh, Aria Masoomi, Tales Imbiriba, Erik G. Learned-Miller, Deniz Erdogmus:
Inv-Senet: Invariant Self Expression Network for Clustering Under Biased Data. ICASSP 2023: 1-5 - [c216]Niklas Smedemark-Margulies, Basak Celik, Tales Imbiriba, Aziz Kocanaogullari, Deniz Erdogmus:
Recursive Estimation of User Intent From Noninvasive Electroencephalography Using Discriminative Models. ICASSP 2023: 1-5 - [c215]Razieh Faghihpirayesh, Davood Karimi, Deniz Erdogmus, Ali Gholipour:
Automatic brain pose estimation in fetal MRI. Image Processing 2023 - [c214]Sadjad Asghari-Esfeden, Garrit Strenge, Kyle Lockwood, Yunus Bicer, Tales Imbiriba, Mariusz P. Furmanek, Mathew Yarossi, Eugene Tunik, Taskin Padir, Deniz Erdogmus:
Real-Time Object Localization for Human-Robot Handover. PETRA 2023: 42-46 - [c213]Kyle Lockwood, Garrit Strenge, Yunus Bicer, Tales Imbiriba, Mariusz P. Furmanek, Taskin Padir, Deniz Erdogmus, Eugene Tunik, Mathew Yarossi:
Gaussian Process-Based Prediction of Human Trajectories to Promote Seamless Human-Robot Handovers. RO-MAN 2023: 2259-2266 - [c212]Nathaniel Hanson, Ahmet Demirkaya, Deniz Erdogmus, Aron Stubbins, Taskin Padir, Tales Imbiriba:
A Vision for Cleaner Rivers: Harnessing Snapshot Hyperspectral Imaging to Detect Macro-Plastic Litter. WHISPERS 2023: 1-5 - [d2]Haoqing Li, Bhavya Duvvuri, Ricardo Augusto Borsoi, Tales Imbiriba, Edward Beighley, Deniz Erdogmus, Pau Closas:
Online Fusion of Multi-resolution Multispectral Images with Weakly Supervised Temporal Dynamics. Zenodo, 2023 - [i62]Richard Gall, Deniz Kocanaogullari, Murat Akçakaya, Deniz Erdogmus, Rajkumar Kubendran:
Corticomorphic Hybrid CNN-SNN Architecture for EEG-based Low-footprint Low-latency Auditory Attention Detection. CoRR abs/2307.08501 (2023) - [i61]Nathaniel Hanson, Ahmet Demirkaya, Deniz Erdogmus, Aron Stubbins, Taskin Padir, Tales Imbiriba:
A Vision for Cleaner Rivers: Harnessing Snapshot Hyperspectral Imaging to Detect Macro-Plastic Litter. CoRR abs/2307.12145 (2023) - [i60]Yunus Bicer, Niklas Smedemark-Margulies, Basak Celik, Elifnur Sunger, Ryan Orendorff, Stephanie Naufel, Tales Imbiriba, Deniz Erdogmus, Eugene Tunik, Mathew Yarossi:
User Training with Error Augmentation for Electromyogram-based Gesture Classification. CoRR abs/2309.07289 (2023) - [i59]Niklas Smedemark-Margulies, Yunus Bicer, Elifnur Sunger, Stephanie Naufel, Tales Imbiriba, Eugene Tunik, Deniz Erdogmus, Mathew Yarossi:
A Multi-label Classification Approach to Increase Expressivity of EMG-based Gesture Recognition. CoRR abs/2309.12217 (2023) - [i58]Razieh Faghihpirayesh, Davood Karimi, Deniz Erdogmus, Ali Gholipour:
Fetal-BET: Brain Extraction Tool for Fetal MRI. CoRR abs/2310.01523 (2023) - [i57]Ricardo Augusto Borsoi, Deniz Erdogmus, Tales Imbiriba:
Learning Interpretable Deep Disentangled Neural Networks for Hyperspectral Unmixing. CoRR abs/2310.02340 (2023) - [i56]Niklas Smedemark-Margulies, Ye Wang, Toshiaki Koike-Akino, Jing Liu, Kieran Parsons, Yunus Bicer, Deniz Erdogmus:
Stabilizing Subject Transfer in EEG Classification with Divergence Estimation. CoRR abs/2310.08762 (2023) - [i55]Niklas Smedemark-Margulies, Yunus Bicer, Elifnur Sunger, Tales Imbiriba, Eugene Tunik, Deniz Erdogmus, Mathew Yarossi, Robin Walters:
Fast and Expressive Gesture Recognition using a Combination-Homomorphic Electromyogram Encoder. CoRR abs/2311.14675 (2023) - 2022
- [j117]Bahar Azari, Hai Cheng, Nasim Soltani, Haoqing Li, Yanyu Li, Mauro Belgiovine, Tales Imbiriba, Salvatore D'Oro, Tommaso Melodia, Yanzhi Wang, Pau Closas, Kaushik R. Chowdhury, Deniz Erdogmus:
Automated deep learning-based wide-band receiver. Comput. Networks 218: 109367 (2022) - [j116]Nasim Soltani, Hai Cheng, Mauro Belgiovine, Yanyu Li, Haoqing Li, Bahar Azari, Salvatore D'Oro, Tales Imbiriba, Tommaso Melodia, Pau Closas, Yanzhi Wang, Deniz Erdogmus, Kaushik R. Chowdhury:
Neural Network-Based OFDM Receiver for Resource Constrained IoT Devices. IEEE Internet Things Mag. 5(3): 158-164 (2022) - [j115]Haoqing Li, Ricardo Augusto Borsoi, Tales Imbiriba, Pau Closas, José C. M. Bermudez, Deniz Erdogmus:
Model-Based Deep Autoencoder Networks for Nonlinear Hyperspectral Unmixing. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j114]Aziz Koçanaogullari, Murat Akçakaya, Deniz Erdogmus:
Stopping Criterion Design for Recursive Bayesian Classification: Analysis and Decision Geometry. IEEE Trans. Pattern Anal. Mach. Intell. 44(9): 5590-5601 (2022) - [j113]Berkan Kadioglu, Peng Tian, Jennifer G. Dy, Deniz Erdogmus, Stratis Ioannidis:
Sample complexity of rank regression using pairwise comparisons. Pattern Recognit. 130: 108688 (2022) - [j112]Yeganeh M. Marghi, Aziz Koçanaogullari, Murat Akçakaya, Deniz Erdogmus:
Active recursive Bayesian inference using Rényi information measures. Pattern Recognit. Lett. 154: 90-98 (2022) - [j111]Ilkay Yildiz, Jennifer G. Dy, Deniz Erdogmus, Susan Ostmo, J. Peter Campbell, Michael F. Chiang, Stratis Ioannidis:
Spectral Ranking Regression. ACM Trans. Knowl. Discov. Data 16(6): 120:1-120:38 (2022) - [c211]Bahar Azari, Deniz Erdogmus:
Equivariant Deep Dynamical Model for Motion Prediction. AISTATS 2022: 11655-11668 - [c210]Nasim Soltani, Yanyu Li, Deniz Erdogmus, Yanzhi Wang, Kaushik R. Chowdhury:
NN-key: A Neural Network-Based Secret Key for Demapping OFDM Symbols. CCNC 2022: 847-852 - [c209]Andac Demir, Toshiaki Koike-Akino, Ye Wang, Deniz Erdogmus:
EEG-GAT: Graph Attention Networks for Classification of Electroencephalogram (EEG) Signals. EMBC 2022: 30-35 - [c208]Md Navid Akbar, Xin Wang, Deniz Erdogmus, Sandeep Dalal:
PENet: Continuous-Valued Pulmonary Edema Severity Prediction On Chest X-ray Using Siamese Convolutional Networks. EMBC 2022: 1834-1838 - [c207]Niklas Smedemark-Margulies, Ye Wang, Toshiaki Koike-Akino, Deniz Erdogmus:
AutoTransfer: Subject Transfer Learning with Censored Representations on Biosignals Data. EMBC 2022: 3159-3165 - [c206]Tales Imbiriba, Ahmet Demirkaya, Jindrich Duník, Ondrej Straka, Deniz Erdogmus, Pau Closas:
Hybrid Neural Network Augmented Physics-based Models for Nonlinear Filtering. FUSION 2022: 1-6 - [c205]Nathaniel Hanson, Michael Shaham, Deniz Erdogmus, Taskin Padir:
VAST: Visual and Spectral Terrain Classification in Unstructured Multi-Class Environments. IROS 2022: 3956-3963 - [c204]Razieh Faghihpirayesh, Davood Karimi, Deniz Erdogmus, Ali Gholipour:
Deep Learning Framework for Real-Time Fetal Brain Segmentation in MRI. PIPPI@MICCAI 2022: 60-70 - [c203]Kyle Lockwood, Yunus Bicer, Sadjad Asghari-Esfeden, Tianjie Zhu, Mariusz P. Furmanek, Madhur Mangalam, Garrit Strenge, Tales Imbiriba, Mathew Yarossi, Taskin Padir, Deniz Erdogmus, Eugene Tunik:
Leveraging Submovements for Prediction and Trajectory Planning for Human-Robot Handover. PETRA 2022: 247-253 - [d1]Helena Calatrava, Bhavya Duvvuri, Haoqing Li, Ricardo Augusto Borsoi, Tales Imbiriba, Edward Beighley, Deniz Erdogmus, Pau Closas:
Sentinel-2 Images from Oroville Dam and Charles River. Version 02. Zenodo, 2022 [all versions] - [i54]Tales Imbiriba, Ahmet Demirkaya, Jindrich Duník, Ondrej Straka, Deniz Erdogmus, Pau Closas:
Hybrid Neural Network Augmented Physics-based Models for Nonlinear Filtering. CoRR abs/2204.06471 (2022) - [i53]Razieh Faghihpirayesh, Davood Karimi, Deniz Erdogmus, Ali Gholipour:
Deep Learning Framework for Real-time Fetal Brain Segmentation in MRI. CoRR abs/2205.01675 (2022) - [i52]Nasim Soltani, Hai Cheng, Mauro Belgiovine, Yanyu Li, Haoqing Li, Bahar Azari, Salvatore D'Oro, Tales Imbiriba, Tommaso Melodia, Pau Closas, Yanzhi Wang, Deniz Erdogmus, Kaushik R. Chowdhury:
Neural Network-based OFDM Receiver for Resource Constrained IoT Devices. CoRR abs/2205.06159 (2022) - [i51]Nathaniel Hanson, Tarik Kelestemur, Deniz Erdogmus, Taskin Padir:
Pregrasp Object Material Classification by a Novel Gripper Design with Integrated Spectroscopy. CoRR abs/2207.00942 (2022) - [i50]Niklas Smedemark-Margulies, Basak Celik, Tales Imbiriba, Aziz Kocanaogullari, Deniz Erdogmus:
Recursive Estimation of User Intent from Noninvasive Electroencephalography using Discriminative Models. CoRR abs/2211.02630 (2022) - [i49]Ashutosh Singh, Ashish Singh, Aria Masoomi, Tales Imbiriba, Erik G. Learned-Miller, Deniz Erdogmus:
Inv-SENnet: Invariant Self Expression Network for clustering under biased data. CoRR abs/2211.06780 (2022) - 2021
- [j110]Andac Demir, Toshiaki Koike-Akino, Ye Wang, Deniz Erdogmus:
AutoBayes: Automated Bayesian Graph Exploration for Nuisance- Robust Inference. IEEE Access 9: 39955-39972 (2021) - [j109]Ozan Özdenizci, Safaa Eldeeb, Andac Demir, Deniz Erdogmus, Murat Akçakaya:
EEG-based texture roughness classification in active tactile exploration with invariant representation learning networks. Biomed. Signal Process. Control. 67: 102507 (2021) - [j108]Ozan Özdenizci, Deniz Erdogmus:
Stochastic mutual information gradient estimation for dimensionality reduction networks. Inf. Sci. 570: 298-305 (2021) - [j107]Aziz Koçanaogullari, Niklas Smedemark-Margulies, Murat Akçakaya, Deniz Erdogmus:
Geometric Analysis of Uncertainty Sampling for Dense Neural Network Layer. IEEE Signal Process. Lett. 28: 867-871 (2021) - [j106]Mo Han, Ozan Özdenizci, Toshiaki Koike-Akino, Ye Wang, Deniz Erdogmus:
Universal Physiological Representation Learning With Soft-Disentangled Rateless Autoencoders. IEEE J. Biomed. Health Informatics 25(8): 2928-2937 (2021) - [c202]Ilkay Yildiz, Jennifer G. Dy, Deniz Erdogmus, Susan Ostmo, J. Peter Campbell, Michael F. Chiang, Stratis Ioannidis:
Deep Spectral Ranking. AISTATS 2021: 361-369 - [c201]Mehrshad Zandigohar, Deniz Erdogmus, Gunar Schirner:
NetCut: Real-Time DNN Inference Using Layer Removal. DATE 2021: 1845-1850 - [c200]Razieh Faghihpirayesh, Sebastian F. Ruf, Marianna La Rocca, Rachael Garner, Paul M. Vespa, Deniz Erdogmus, Dominique Duncan:
Automatic Detection of EEG Epileptiform Abnormalities in Traumatic Brain Injury using Deep Learning. EMBC 2021: 302-305 - [c199]Mo Han, Mehrshad Zandigohar, Mariusz P. Furmanek, Mathew Yarossi, Gunar Schirner, Deniz Erdogmus:
Classifications of Dynamic EMG in Hand Gesture and Unsupervised Grasp Motion Segmentation. EMBC 2021: 359-364 - [c198]Sebastian F. Ruf, Md Navid Akbar, Susan L. Whitfield-Gabrieli, Deniz Erdogmus:
Comparing Autoregressive and Network Features for Classification of Depression and Anxiety. EMBC 2021: 386-389 - [c197]Ahmet Demirkaya, Tales Imbiriba, Kyle Lockwood, Sumientra Rampersad, Elie Alhajjar, Giovanna Guidoboni, Zachary Danziger, Deniz Erdogmus:
Cubature Kalman Filter Based Training of Hybrid Differential Equation Recurrent Neural Network Physiological Dynamic Models. EMBC 2021: 763-766 - [c196]Andac Demir, Toshiaki Koike-Akino, Ye Wang, Masaki Haruna, Deniz Erdogmus:
EEG-GNN: Graph Neural Networks for Classification of Electroencephalogram (EEG) Signals. EMBC 2021: 1061-1067 - [c195]Ashutosh Singh, Christiana Westlin, Hedwig Eisenbarth, Elizabeth A. Reynolds Losin, Jessica R. Andrews-Hanna, Tor D. Wager, Ajay B. Satpute, Lisa Feldman Barrett, Dana H. Brooks, Deniz Erdogmus:
Variation is the Norm: Brain State Dynamics Evoked By Emotional Video Clips. EMBC 2021: 6003-6007 - [c194]Mohammadreza Sharif, Deniz Erdogmus, Christopher Amato, Taskin Padir:
End-to-end grasping policies for human-in-the-loop robots via deep reinforcement learning*. ICRA 2021: 2768-2774 - [c193]Veysi Yildiz, Stratis Ioannidis, Ilkay Yildiz, Peng Tian, John Peter Campbell, Susan Ostmo, Jayashree Kalpathy-Cramer, Michael F. Chiang, Deniz Erdogmus, Jennifer G. Dy:
Structural Visual Guidance Attention Networks In Retinopathy Of Prematurity. ISBI 2021: 353-357 - [c192]Md Navid Akbar, Sebastian F. Ruf, Marianna La Rocca, Rachael Garner, Giuseppe Barisano, Ruskin Cua, Paul M. Vespa, Deniz Erdogmus, Dominique Duncan:
Lesion Normalization and Supervised Learning in Post-traumatic Seizure Classification with Diffusion MRI. CDMRI@MICCAI 2021: 133-143 - [c191]Ozan Özdenizci, Deniz Erdogmus:
On the use of generative deep neural networks to synthesize artificial multichannel EEG signals. NER 2021: 427-430 - [c190]Peng Tian, Jennifer G. Dy, Deniz Erdogmus, Susan Ostmo, J. Peter Campbell, Michael F. Chiang, Stratis Ioannidis:
Automated ROP Diagnostic System based on Comparisons and U-Net Segmentation. PETRA 2021: 33-36 - [c189]Veysi Yildiz, Jennifer G. Dy, J. Peter Campbell, Susan Ostmo, Michael F. Chiang, Stratis Ioannidis, Deniz Erdogmus:
Structurally Guided Channel Attention Networks: SGCA-Net. PETRA 2021: 93-96 - [i48]Mehrshad Zandigohar, Mo Han, Deniz Erdogmus, Gunar Schirner:
Towards Creating a Deployable Grasp Type Probability Estimator for a Prosthetic Hand. CoRR abs/2101.05357 (2021) - [i47]Mehrshad Zandigohar, Deniz Erdogmus, Gunar Schirner:
NetCut: Real-Time DNN Inference Using Layer Removal. CoRR abs/2101.05363 (2021) - [i46]Ozan Özdenizci, Deniz Erdogmus:
On the use of generative deep neural networks to synthesize artificial multichannel EEG signals. CoRR abs/2102.08061 (2021) - [i45]Ozan Özdenizci, Safaa Eldeeb, Andac Demir, Deniz Erdogmus, Murat Akçakaya:
EEG-based Texture Roughness Classification in Active Tactile Exploration with Invariant Representation Learning Networks. CoRR abs/2102.08976 (2021) - [i44]Mo Han, Sezen Yagmur Günay, Gunar Schirner, Taskin Padir, Deniz Erdogmus:
HANDS: A Multimodal Dataset for Modeling Towards Human Grasp Intent Inference in Prosthetic Hands. CoRR abs/2103.04845 (2021) - [i43]Mo Han, Sezen Yagmur Günay, Ilkay Yildiz, Paolo Bonato, Cagdas D. Onal, Taskin Padir, Gunar Schirner, Deniz Erdogmus:
From Hand-Perspective Visual Information to Grasp Type Probabilities: Deep Learning via Ranking Labels. CoRR abs/2103.04863 (2021) - [i42]Mehrshad Zandigohar, Mo Han, Mohammadreza Sharif, Sezen Yagmur Günay, Mariusz P. Furmanek, Mathew Yarossi, Paolo Bonato, Cagdas D. Onal, Taskin Padir, Deniz Erdogmus, Gunar Schirner:
Multimodal Fusion of EMG and Vision for Human Grasp Intent Inference in Prosthetic Hand Control. CoRR abs/2104.03893 (2021) - [i41]Haoqing Li, Ricardo Augusto Borsoi, Tales Imbiriba, Pau Closas, José Carlos Moreira Bermudez, Deniz Erdogmus:
Model-Based Deep Autoencoder Networks for Nonlinear Hyperspectral Unmixing. CoRR abs/2104.08409 (2021) - [i40]Mo Han, Mehrshad Zandigohar, Mariusz P. Furmanek, Mathew Yarossi, Gunar Schirner, Deniz Erdogmus:
Segmentation and Classification of EMG Time-Series During Reach-to-Grasp Motion. CoRR abs/2104.09627 (2021) - [i39]Mohammadreza Sharif, Deniz Erdogmus, Christopher Amato, Taskin Padir:
End-to-end grasping policies for human-in-the-loop robots via deep reinforcement learning. CoRR abs/2104.12842 (2021) - [i38]Ozan Özdenizci, Deniz Erdogmus:
Stochastic Mutual Information Gradient Estimation for Dimensionality Reduction Networks. CoRR abs/2105.00191 (2021) - [i37]Berkan Kadioglu, Peng Tian, Jennifer G. Dy, Deniz Erdogmus, Stratis Ioannidis:
On the Sample Complexity of Rank Regression from Pairwise Comparisons. CoRR abs/2105.01463 (2021) - [i36]Andac Demir, Toshiaki Koike-Akino, Ye Wang, Masaki Haruna, Deniz Erdogmus:
EEG-GNN: Graph Neural Networks for Classification of Electroencephalogram (EEG) Signals. CoRR abs/2106.09135 (2021) - [i35]Bahar Azari, Deniz Erdogmus:
Circular-Symmetric Correlation Layer based on FFT. CoRR abs/2107.12480 (2021) - [i34]Paul Ghanem, Yunus Bicer, Deniz Erdogmus, Alireza Ramezani:
Efficient Modeling of Morphing Wing Flight Using Neural Networks and Cubature Rules. CoRR abs/2110.01057 (2021) - [i33]Ahmet Demirkaya, Tales Imbiriba, Kyle Lockwood, Sumientra Rampersad, Elie Alhajjar, Giovanna Guidoboni, Zachary Danziger, Deniz Erdogmus:
Cubature Kalman Filter Based Training of Hybrid Differential Equation Recurrent Neural Network Physiological Dynamic Models. CoRR abs/2110.06089 (2021) - [i32]Ashutosh Singh, Christiana Westlin, Hedwig Eisenbarth, Elizabeth A. Reynolds Losin, Jessica R. Andrews-Hanna, Tor D. Wager, Ajay B. Satpute, Lisa Feldman Barrett, Dana H. Brooks, Deniz Erdogmus:
Variation is the Norm: Brain State Dynamics Evoked By Emotional Video Clips. CoRR abs/2110.12392 (2021) - [i31]Bahar Azari, Deniz Erdogmus:
Equivariant Deep Dynamical Model for Motion Prediction. CoRR abs/2111.01892 (2021) - [i30]Niklas Smedemark-Margulies, Ye Wang, Toshiaki Koike-Akino, Deniz Erdogmus:
AutoTransfer: Subject Transfer Learning with Censored Representations on Biosignals Data. CoRR abs/2112.09796 (2021) - 2020
- [j105]Ozan Özdenizci, Ye Wang, Toshiaki Koike-Akino, Deniz Erdogmus:
Learning Invariant Representations From EEG via Adversarial Inference. IEEE Access 8: 27074-27085 (2020) - [j104]Mo Han, Sezen Yagmur Günay, Gunar Schirner, Taskin Padir, Deniz Erdogmus:
HANDS: a multimodal dataset for modeling toward human grasp intent inference in prosthetic hands. Intell. Serv. Robotics 13(1): 179-185 (2020) - [j103]Matthew D. Li, Ken Chang, Ben Bearce, Connie Y. Chang, Ambrose J. Huang, J. Peter Campbell, James M. Brown, Praveer Singh, Katharina Viktoria Hoebel, Deniz Erdogmus, Stratis Ioannidis, William E. Palmer, Michael F. Chiang, Jayashree Kalpathy-Cramer:
Siamese neural networks for continuous disease severity evaluation and change detection in medical imaging. npj Digit. Medicine 3 (2020) - [j102]Mo Han, Ozan Özdenizci, Ye Wang, Toshiaki Koike-Akino, Deniz Erdogmus:
Disentangled Adversarial Autoencoder for Subject-Invariant Physiological Feature Extraction. IEEE Signal Process. Lett. 27: 1565-1569 (2020) - [j101]Ozan Özdenizci, Deniz Erdogmus:
Information Theoretic Feature Transformation Learning for Brain Interfaces. IEEE Trans. Biomed. Eng. 67(1): 69-78 (2020) - [c188]Ilkay Yildiz, Jennifer G. Dy, Deniz Erdogmus, Jayashree Kalpathy-Cramer, Susan Ostmo, J. Peter Campbell, Michael F. Chiang, Stratis Ioannidis:
Fast and Accurate Ranking Regression. AISTATS 2020: 77-88 - [c187]Mohammadreza Sharif, Deniz Erdogmus, Christopher Amato, Taskin Padir:
Towards End-to-End Control of a Robot Prosthetic Hand via Reinforcement Learning. BioRob 2020: 641-647 - [c186]Jonas Nordhaug Myhre, Matineh Shaker, Mustafa Devrim Kaba, Robert Jenssen, Deniz Erdogmus:
A generic unfolding algorithm for manifolds estimated by local linear approximations. CVPR Workshops 2020: 3735-3743 - [c185]Mo Han, Ozan Özdenizci, Ye Wang, Toshiaki Koike-Akino, Deniz Erdogmus:
Disentangled Adversarial Transfer Learning for Physiological Biosignals. EMBC 2020: 422-425 - [c184]Spencer Lake Jacobs-Skolik, Don Liang, Dana H. Brooks, Deniz Erdogmus, Mathew Yarossi, Eugene Tunik:
A Muscle Synergy Framework for Cross-Limb Reconstruction of Hand Muscle Activity Distal to a Virtual Wrist-Level Disarticulation. EMBC 2020: 3285-3288 - [c183]Ann Marie Votta, Sezen Yagmur Günay, Brian Zylich, Erik H. Skorina, Raagini Rameshwar, Deniz Erdogmus, Cagdas D. Onal:
Kinematic Optimization of an Underactuated Anthropomorphic Prosthetic Hand. IROS 2020: 3397-3403 - [c182]Aziz Koçanaogullari, Murat Akçakaya, Barry Oken, Deniz Erdogmus:
Optimal modality selection using information transfer rate for event related potential driven brain computer interfaces. PETRA 2020: 2:1-2:7 - [c181]Tales Imbiriba, Diana Catalina Cumpanasoiu, James Heathers, Stratis Ioannidis, Deniz Erdogmus, Matthew S. Goodwin:
Biosensor prediction of aggression in youth with autism using kernel-based methods. PETRA 2020: 13:1-13:6 - [c180]Razieh Faghihpirayesh, Tales Imbiriba, Mathew Yarossi, Eugene Tunik, Dana H. Brooks, Deniz Erdogmus:
Motor cortex mapping using active gaussian processes. PETRA 2020: 14:1-14:7 - [c179]Md Navid Akbar, Mathew Yarossi, Marc Martinez-Gost, Marc A. Sommer, Moritz Dannhauer, Sumientra Rampersad, Dana H. Brooks, Eugene Tunik, Deniz Erdogmus:
Mapping motor cortex stimulation to muscle responses: a deep neural network modeling approach. PETRA 2020: 15:1-15:6 - [c178]Md Navid Akbar, Marianna La Rocca, Rachael Garner, Dominique Duncan, Deniz Erdogmus:
Prediction of epilepsy development in traumatic brain injury patients from diffusion weighted MRI. PETRA 2020: 87:1-87:2 - [c177]Tales Imbiriba, Peng Wu, Gerald LaMountain, Deniz Erdogmus, Pau Closas:
Recursive Gaussian Processes and Fingerprinting for Indoor Navigation. PLANS 2020: 933-940 - [i29]Md Navid Akbar, Mathew Yarossi, Marc Martinez-Gost, Marc A. Sommer, Moritz Dannhauer, Sumientra Rampersad, Dana H. Brooks, Eugene Tunik, Deniz Erdogmus:
Mapping Motor Cortex Stimulation to Muscle Responses: A Deep Neural Network Modeling Approach. CoRR abs/2002.06250 (2020) - [i28]Yeganeh M. Marghi, Aziz Kocanaogullari, Murat Akçakaya, Deniz Erdogmus:
Active Recursive Bayesian Inference with Posterior Trajectory Analysis Using α-Divergence. CoRR abs/2004.03139 (2020) - [i27]Mo Han, Ozan Özdenizci, Ye Wang, Toshiaki Koike-Akino, Deniz Erdogmus:
Disentangled Adversarial Transfer Learning for Physiological Biosignals. CoRR abs/2004.08289 (2020) - [i26]Md Navid Akbar, Marianna La Rocca, Rachael Garner, Dominique Duncan, Deniz Erdogmus:
Prediction of Epilepsy Development in Traumatic Brain Injury Patients from Diffusion Weighted MRI. CoRR abs/2004.14580 (2020) - [i25]Andac Demir, Toshiaki Koike-Akino, Ye Wang, Deniz Erdogmus:
AutoBayes: Automated Inference via Bayesian Graph Exploration for Nuisance-Robust Biosignal Analysis. CoRR abs/2007.01255 (2020) - [i24]Aziz Kocanaogullari, Murat Akçakaya, Deniz Erdogmus:
Stopping Criterion Design for Recursive Bayesian Classification: Analysis and Decision Geometry. CoRR abs/2007.15568 (2020) - [i23]Mo Han, Ozan Özdenizci, Ye Wang, Toshiaki Koike-Akino, Deniz Erdogmus:
Disentangled Adversarial Autoencoder for Subject-Invariant Physiological Feature Extraction. CoRR abs/2008.11426 (2020) - [i22]Mo Han, Ozan Özdenizci, Toshiaki Koike-Akino, Ye Wang, Deniz Erdogmus:
Universal Physiological Representation Learning with Soft-Disentangled Rateless Autoencoders. CoRR abs/2009.13453 (2020)
2010 – 2019
- 2019
- [j100]Seyed Raein Hashemi, Seyed Sadegh Mohseni Salehi, Deniz Erdogmus, Sanjay P. Prabhu, Simon K. Warfield, Ali Gholipour:
Asymmetric Loss Functions and Deep Densely-Connected Networks for Highly-Imbalanced Medical Image Segmentation: Application to Multiple Sclerosis Lesion Detection. IEEE Access 7: 1721-1735 (2019) - [j99]Ilkay Yildiz, Peng Tian, Jennifer G. Dy, Deniz Erdogmus, James M. Brown, Jayashree Kalpathy-Cramer, Susan Ostmo, J. Peter Campbell, Michael F. Chiang, Stratis Ioannidis:
Classification and comparison via neural networks. Neural Networks 118: 65-80 (2019) - [j98]Yijian Xiang, Murat Akçakaya, Satyabrata Sen, Deniz Erdogmus, Arye Nehorai:
Target tracking via recursive Bayesian state estimation in cognitive radar networks. Signal Process. 155: 157-169 (2019) - [j97]Ozan Özdenizci, Ye Wang, Toshiaki Koike-Akino, Deniz Erdogmus:
Adversarial Deep Learning in EEG Biometrics. IEEE Signal Process. Lett. 26(5): 710-714 (2019) - [j96]Seyed Sadegh Mohseni Salehi, Shadab Khan, Deniz Erdogmus, Ali Gholipour:
Real-Time Deep Pose Estimation With Geodesic Loss for Image-to-Template Rigid Registration. IEEE Trans. Medical Imaging 38(2): 470-481 (2019) - [c176]Yuan Guo, Jennifer G. Dy, Deniz Erdogmus, Jayashree Kalpathy-Cramer, Susan Ostmo, J. Peter Campbell, Michael F. Chiang, Stratis Ioannidis:
Variational Inference from Ranked Samples with Features. ACML 2019: 599-614 - [c175]Tales Imbiriba, Gerald LaMountain, Peng Wu, Deniz Erdogmus, Pau Closas:
Change Detection and Gaussian Process Inference in Piecewise Stationary Environments Under Noisy Inputs. CAMSAP 2019: 530-534 - [c174]Ann Marie Votta, Sezen Yagmur Günay, Deniz Erdogmus, Çagdas D. Önal:
Force-Sensitive Prosthetic Hand with 3-axis Magnetic Force Sensors. CBS 2019: 104-109 - [c173]Mehrshad Zandigohar, Mo Han, Deniz Erdogmus, Gunar Schirner:
Towards Creating a Deployable Grasp Type Probability Estimator for a Prosthetic Hand. CyPhy/WESE 2019: 44-58 - [c172]Ozan Özdenizci, Barry Oken, Tab Memmott, Melanie Fried-Oken, Deniz Erdogmus:
Adversarial Feature Learning in Brain Interfacing: An Experimental Study on Eliminating Drowsiness Effects. GBCIC 2019 - [c171]Yeganeh M. Marghi, Aziz Koçanaogullari, Murat Akçakaya, Deniz Erdogmus:
A History-based Stopping Criterion in Recursive Bayesian State Estimation. ICASSP 2019: 3362-3366 - [c170]Kaidi Xu, Sijia Liu, Pu Zhao, Pin-Yu Chen, Huan Zhang, Quanfu Fan, Deniz Erdogmus, Yanzhi Wang, Xue Lin:
Structured Adversarial Attack: Towards General Implementation and Better Interpretability. ICLR (Poster) 2019 - [c169]Mohammadreza Sharif, Deniz Erdogmus, Taskin Padir:
Human-in-the-Loop Prosthetic Robot Hand Control Using Particle Filters for Grasp Selection. IRC 2019: 293-300 - [c168]Peng Tian, Yuan Guo, Jayashree Kalpathy-Cramer, Susan Ostmo, John Peter Campbell, Michael F. Chiang, Jennifer G. Dy, Deniz Erdogmus, Stratis Ioannidis:
A Severity Score for Retinopathy of Prematurity. KDD 2019: 1809-1819 - [c167]Mara Graziani, James M. Brown, Vincent Andrearczyk, Veysi Yildiz, J. Peter Campbell, Deniz Erdogmus, Stratis Ioannidis, Michael F. Chiang, Jayashree Kalpathy-Cramer, Henning Müller:
Improved interpretability for computer-aided severity assessment of retinopathy of prematurity. Computer-Aided Diagnosis 2019: 109501R - [c166]Andac Demir, Safaa Eldeeb, Murat Akçakaya, Deniz Erdogmus:
Dynamic System Identification For Guidance Of Stimulation Parameters In Haptic Simulation Environments. MLSP 2019: 1-6 - [c165]Safaa Eldeeb, Jordyn Ting, Deniz Erdogmus, Douglas J. Weber, Murat Akçakaya:
EEG-Based Texture Classification During Active Touch. MLSP 2019: 1-6 - [c164]Ozan Özdenizci, Ye Wang, Toshiaki Koike-Akino, Deniz Erdogmus:
Transfer Learning in Brain-Computer Interfaces with Adversarial Variational Autoencoders. NER 2019: 207-210 - [c163]Sezen Yagmur Günay, Mathew Yarossi, Dana H. Brooks, Eugene Tunik, Deniz Erdogmus:
Transfer learning using low-dimensional subspaces for EMG-based classification of hand posture. NER 2019: 1097-1100 - [c162]Andac Demir, Mathew Yarossi, Damon Hyde, Mouhsin Shafi, Dana H. Brooks, Deniz Erdogmus:
Removing TMS Artifacts from EEG Recordings Using a Deep Gated Recurrent Unit. NER 2019: 1109-1112 - [c161]Mathew Yarossi, Fernando Quivira, Moritz Dannhauer, Marc A. Sommer, Dana H. Brooks, Deniz Erdogmus, Eugene Tunik:
An experimental and computational framework for modeling multi-muscle responses to transcranial magnetic stimulation of the human motor cortex. NER 2019: 1122-1125 - [c160]Mo Han, Sezen Yagmur Günay, Ilkay Yildiz, Paolo Bonato, Cagdas D. Onal, Taskin Padir, Gunar Schirner, Deniz Erdogmus:
From hand-perspective visual information to grasp type probabilities: deep learning via ranking labels. PETRA 2019: 256-263 - [c159]Yuan Guo, Jennifer G. Dy, Deniz Erdogmus, Jayashree Kalpathy-Cramer, Susan Ostmo, J. Peter Campbell, Michael F. Chiang, Stratis Ioannidis:
Accelerated Experimental Design for Pairwise Comparisons. SDM 2019: 432-440 - [i21]Yuan Guo, Jennifer G. Dy, Deniz Erdogmus, Jayashree Kalpathy-Cramer, Susan Ostmo, J. Peter Campbell, Michael F. Chiang, Stratis Ioannidis:
Accelerated Experimental Design for Pairwise Comparisons. CoRR abs/1901.06080 (2019) - [i20]Ozan Özdenizci, Ye Wang, Toshiaki Koike-Akino, Deniz Erdogmus:
Adversarial Deep Learning in EEG Biometrics. CoRR abs/1903.11673 (2019) - [i19]Ozan Özdenizci, Deniz Erdogmus:
Information Theoretic Feature Transformation Learning for Brain Interfaces. CoRR abs/1903.12235 (2019) - [i18]Ozan Özdenizci, Barry Oken, Tab Memmott, Melanie Fried-Oken, Deniz Erdogmus:
Adversarial Feature Learning in Brain Interfacing: An Experimental Study on Eliminating Drowsiness Effects. CoRR abs/1907.09540 (2019) - [i17]Matt Higger, Fernando Quivira, Deniz Erdogmus:
User-Adaptive Text Entry for Augmentative and Alternative Communication. CoRR abs/1910.01216 (2019) - 2018
- [j95]Marzieh Haghighi, Mohammad Moghadamfalahi, Murat Akçakaya, Deniz Erdogmus:
EEG-assisted modulation of sound sources in the auditory scene. Biomed. Signal Process. Control. 39: 263-270 (2018) - [j94]Berkan Kadioglu, Ilkay Yildiz, Pau Closas, Deniz Erdogmus:
M-Estimation-Based Subspace Learning for Brain Computer Interfaces. IEEE J. Sel. Top. Signal Process. 12(6): 1276-1285 (2018) - [j93]Jamshid Sourati, Murat Akçakaya, Deniz Erdogmus, Todd K. Leen, Jennifer G. Dy:
A Probabilistic Active Learning Algorithm Based on Fisher Information Ratio. IEEE Trans. Pattern Anal. Mach. Intell. 40(8): 2023-2029 (2018) - [j92]Aziz Kocanaogullari, Deniz Erdogmus, Murat Akçakaya:
On Analysis of Active Querying for Recursive State Estimation. IEEE Signal Process. Lett. 25(6): 743-747 (2018) - [j91]Aziz Kocanaogullari, Yeganeh M. Marghi, Murat Akçakaya, Deniz Erdogmus:
Optimal Query Selection Using Multi-Armed Bandits. IEEE Signal Process. Lett. 25(12): 1870-1874 (2018) - [j90]A. Emre Onuk, Murat Akçakaya, Jaydeep P. Bardhan, Deniz Erdogmus, Dana H. Brooks, Lee Makowski:
Dirichlet Priors for MAP Inference of Protein Conformation Abundances from SAXS. J. Signal Process. Syst. 90(2): 167-174 (2018) - [c158]Fernando Quivira, Toshiaki Koike-Akino, Ye Wang, Deniz Erdogmus:
Translating sEMG signals to continuous hand poses using recurrent neural networks. BHI 2018: 166-169 - [c157]Yeganeh M. Marghi, Paula Gonzalez-Navarro, Bahar Azari, Deniz Erdogmus:
A Parametric EEG Signal Model for BCIs with Rapid-Trial Sequences. EMBC 2018: 118-122 - [c156]Ozan Özdenizci, Sezen Yagmur Günay, Fernando Quivira, Deniz Erdogmus:
Hierarchical Graphical Models for Context-Aware Hybrid Brain-Machine Interfaces. EMBC 2018: 1964-1967 - [c155]Ozan Özdenizci, Catalina Cumpanasoiu, Carla Mazefsky, Matthew Siegel, Deniz Erdogmus, Stratis Ioannidis, Matthew S. Goodwin:
Time-Series Prediction of Proximal Aggression Onset in Minimally-Verbal Youth with Autism Spectrum Disorder Using Physiological Biosignals. EMBC 2018: 5745-5748 - [c154]Yuan Guo, Peng Tian, Jayashree Kalpathy-Cramer, Susan Ostmo, J. Peter Campbell, Michael F. Chiang, Deniz Erdogmus, Jennifer G. Dy, Stratis Ioannidis:
Experimental Design under the Bradley-Terry Model. IJCAI 2018: 2198-2204 - [c153]Seyed Sadegh Mohseni Salehi, Seyed Raein Hashemi, Clemente Velasco-Annis, Abdelhakim Ouaalam, Judy A. Estroff, Deniz Erdogmus, Simon K. Warfield, Ali Gholipour:
Real-time automatic fetal brain extraction in fetal MRI by deep learning. ISBI 2018: 720-724 - [c152]Aziz Kocanaogullan, Fernando Quivira, Deniz Erdogmus:
Incorporating temporal dependency on ERP based BCI. ISBI 2018: 752-756 - [c151]James McLean, Fernando Quivira, Deniz Erdogmus:
Improved classification in tactile BCIs using a noisy label model. ISBI 2018: 757-761 - [c150]Matthew S. Goodwin, Ozan Özdenizci, Catalina Cumpanasoiu, Peng Tian, Yuan Guo, Amy Stedman, Christine Peura, Carla Mazefsky, Matthew Siegel, Deniz Erdogmus, Stratis Ioannidis:
Predicting Imminent Aggression Onset in Minimally-Verbal Youth with Autism Spectrum Disorder Using Preceding Physiological Signals. PervasiveHealth 2018: 201-207 - [c149]Golnaz Eftekhari Yazdi, Hooman Nezamfar, Mohammad Moghadamfalahi, Murat Akçakaya, Bahram Shafai, Deniz Erdogmus:
An Adaptive Proportional BCI-Controller for Linear Dynamic Systems. WAC 2018: 1-5 - [i16]Seyed Sadegh Mohseni Salehi, Shadab Khan, Deniz Erdogmus, Ali Gholipour:
Real-time Deep Registration With Geodesic Loss. CoRR abs/1803.05982 (2018) - [i15]Seyed Raein Hashemi, Seyed Sadegh Mohseni Salehi, Deniz Erdogmus, Sanjay P. Prabhu, Simon K. Warfield, Ali Gholipour:
Tversky as a Loss Function for Highly Unbalanced Image Segmentation using 3D Fully Convolutional Deep Networks. CoRR abs/1803.11078 (2018) - [i14]Ye Wang, Toshiaki Koike-Akino, Deniz Erdogmus:
Invariant Representations from Adversarially Censored Autoencoders. CoRR abs/1805.08097 (2018) - [i13]Kaidi Xu, Sijia Liu, Pu Zhao, Pin-Yu Chen, Huan Zhang, Deniz Erdogmus, Yanzhi Wang, Xue Lin:
Structured Adversarial Attack: Towards General Implementation and Better Interpretability. CoRR abs/1808.01664 (2018) - [i12]Ozan Özdenizci, Sezen Yagmur Günay, Fernando Quivira, Deniz Erdogmus:
Hierarchical Graphical Models for Context-Aware Hybrid Brain-Machine Interfaces. CoRR abs/1809.05635 (2018) - [i11]Ozan Özdenizci, Catalina Cumpanasoiu, Carla Mazefsky, Matthew Siegel, Deniz Erdogmus, Stratis Ioannidis, Matthew S. Goodwin:
Time-Series Prediction of Proximal Aggression Onset in Minimally-Verbal Youth with Autism Spectrum Disorder Using Physiological Biosignals. CoRR abs/1809.09948 (2018) - [i10]Szu-Yeu Hu, Andrew Beers, Ken Chang, Kathi Höbel, J. Peter Campbell, Deniz Erdogmus, Stratis Ioannidis, Jennifer G. Dy, Michael F. Chiang, Jayashree Kalpathy-Cramer, James M. Brown:
Deep feature transfer between localization and segmentation tasks. CoRR abs/1811.02539 (2018) - [i9]Ozan Özdenizci, Ye Wang, Toshiaki Koike-Akino, Deniz Erdogmus:
Transfer Learning in Brain-Computer Interfaces with Adversarial Variational Autoencoders. CoRR abs/1812.06857 (2018) - 2017
- [j89]Jamshid Sourati, Murat Akçakaya, Todd K. Leen, Deniz Erdogmus, Jennifer G. Dy:
Asymptotic Analysis of Objectives Based on Fisher Information in Active Learning. J. Mach. Learn. Res. 18: 34:1-34:41 (2017) - [j88]Matineh Shaker, Deniz Erdogmus, Jennifer G. Dy, Sylvain Bouix:
Subject-specific abnormal region detection in traumatic brain injury using sparse model selection on high dimensional diffusion data. Medical Image Anal. 37: 56-65 (2017) - [j87]Paula Gonzalez-Navarro, Mohammad Moghadamfalahi, Murat Akçakaya, Deniz Erdogmus:
Spatio-temporal EEG models for brain interfaces. Signal Process. 131: 333-343 (2017) - [j86]Seyed Sadegh Mohseni Salehi, Deniz Erdogmus, Ali Gholipour:
Auto-Context Convolutional Neural Network (Auto-Net) for Brain Extraction in Magnetic Resonance Imaging. IEEE Trans. Medical Imaging 36(11): 2319-2330 (2017) - [j85]Mohammad Moghadamfalahi, Murat Akçakaya, Hooman Nezamfar, Jamshid Sourati, Deniz Erdogmus:
An Active RBSE Framework to Generate Optimal Stimulus Sequences in a BCI for Spelling. IEEE Trans. Signal Process. 65(20): 5381-5392 (2017) - [c148]Yijian Xiang, Murat Akçakaya, Satyabrata Sen, Deniz Erdogmus, Arye Nehorai:
Target tracking via recursive Bayesian state estimation in radar networks. ACSSC 2017: 880-884 - [c147]Yeganeh M. Marghi, Amir B. Farjadian, Sheng-Che Yen, Deniz Erdogmus:
EEG-guided robotic mirror therapy system for lower limb rehabilitation. EMBC 2017: 1917-1921 - [c146]Seyed Sadegh Mohseni Salehi, Mohammad Moghadamfalahi, Fernando Quivira, Alexander Piers, Hooman Nezamfar, Deniz Erdogmus:
Decoding complex imagery hand gestures. EMBC 2017: 2968-2971 - [c145]Seyed Sadegh Mohseni Salehi, Mohammad Moghadamfalahi, Hooman Nezamfar, Marzieh Haghighi, Deniz Erdogmus:
Context-aware recursive bayesian graph traversal in BCIs. EMBC 2017: 2972-2975 - [c144]Seyed Sadegh Mohseni Salehi, Deniz Erdogmus, Ali Gholipour:
Tversky Loss Function for Image Segmentation Using 3D Fully Convolutional Deep Networks. MLMI@MICCAI 2017: 379-387 - [c143]Ozan Özdenizci, Fernando Quivira, Deniz Erdogmus:
Information theoretic feature projection for single-trial brain-computer interfaces. MLSP 2017: 1-6 - [c142]Sezen Yagmur Günay, Fernando Quivira, Deniz Erdogmus:
Muscle Synergy-based Grasp Classification for Robotic Hand Prosthetics. PETRA 2017: 335-338 - [i8]Seyed Sadegh Mohseni Salehi, Deniz Erdogmus, Ali Gholipour:
Auto-context Convolutional Neural Network for Geometry-Independent Brain Extraction in Magnetic Resonance Imaging. CoRR abs/1703.02083 (2017) - [i7]Seyed Sadegh Mohseni Salehi, Mohammad Moghadamfalahi, Fernando Quivira, Alexander Piers, Hooman Nezamfar, Deniz Erdogmus:
Decoding Complex Imagery Hand Gestures. CoRR abs/1703.02929 (2017) - [i6]Seyed Sadegh Mohseni Salehi, Mohammad Moghadamfalahi, Hooman Nezamfar, Marzieh Haghighi, Deniz Erdogmus:
Context-Aware Recursive Bayesian Graph Traversal in BCIs. CoRR abs/1703.02938 (2017) - [i5]Seyed Sadegh Mohseni Salehi, Deniz Erdogmus, Ali Gholipour:
Tversky loss function for image segmentation using 3D fully convolutional deep networks. CoRR abs/1706.05721 (2017) - [i4]Seyed Sadegh Mohseni Salehi, Seyed Raein Hashemi, Clemente Velasco-Annis, Abdelhakim Ouaalam, Judy A. Estroff, Deniz Erdogmus, Simon K. Warfield, Ali Gholipour:
Real-Time Automatic Fetal Brain Extraction in Fetal MRI by Deep Learning. CoRR abs/1710.09338 (2017) - 2016
- [j84]Jamshid Sourati, Murat Akçakaya, Jennifer G. Dy, Todd K. Leen, Deniz Erdogmus:
Classification Active Learning Based on Mutual Information. Entropy 18(2): 51 (2016) - [j83]Hooman Nezamfar, Seyed Sadegh Mohseni Salehi, Mohammad Moghadamfalahi, Deniz Erdogmus:
FlashType™: A Context-Aware c-VEP-Based BCI Typing Interface Using EEG Signals. IEEE J. Sel. Top. Signal Process. 10(5): 932-941 (2016) - [c141]Peng Tian, Esra Ataer Cansizoglu, Jayashree Kalpathy-Cramer, Susan Ostmo, Karyn Jonas, R. V. P. Chan, J. Peter Campbell, Michael F. Chiang, Deniz Erdogmus:
Toward a severity index for ROP: An unsupervised approach. EMBC 2016: 1312-1315 - [c140]Jamshid Sourati, Steven C. Kazmierczak, Murat Akçakaya, Jennifer G. Dy, Todd K. Leen, Deniz Erdogmus:
Assessing subsets of analytes in context of detecting laboratory errors. EMBC 2016: 5793-5796 - [c139]Paula Gonzalez-Navarro, Mohammad Moghadamfalahi, Murat Akçakaya, Deniz Erdogmus:
A Kronecker Product Structured EEG Covariance Estimator for a Language Model Assisted-BCI. HCI (13) 2016: 35-45 - [c138]Biel Roig-Solvas, Jaydeep P. Bardhan, Deniz Erdogmus, Dana H. Brooks, Lee Makowski:
A framework to optimize protein structure from solution scattering using ADMM and an elastic subdomain network. ISBI 2016: 145-149 - [c137]Marzieh Haghighi, Mohammad Moghadamfalahi, Hooman Nezamfar, Murat Akçakaya, Deniz Erdogmus:
Toward a brain interface for tracking attended auditory sources. MLSP 2016: 1-5 - [i3]Jamshid Sourati, Murat Akçakaya, Todd K. Leen, Deniz Erdogmus, Jennifer G. Dy:
Asymptotic Analysis of Objectives based on Fisher Information in Active Learning. CoRR abs/1605.08798 (2016) - [i2]Matt Higger, Mohammad Moghadamfalahi, Fernando Quivira, Deniz Erdogmus:
Fast Switch Scanning Keyboards: Minimal Expected Query Decision Trees. CoRR abs/1606.02552 (2016) - [i1]Mohammad Moghadamfalahi, Murat Akçakaya, Hooman Nezamfar, Jamshid Sourati, Deniz Erdogmus:
An Active RBSE Framework to Generate Optimal Stimulus Sequences in a BCI for Spelling. CoRR abs/1607.03578 (2016) - 2015
- [j82]Verónica Bolón-Canedo, Esra Ataer Cansizoglu, Deniz Erdogmus, Jayashree Kalpathy-Cramer, Oscar Fontenla-Romero, Amparo Alonso-Betanzos, Michael F. Chiang:
Dealing with inter-expert variability in retinopathy of prematurity: A machine learning approach. Comput. Methods Programs Biomed. 122(1): 1-15 (2015) - [j81]Matt Higger, Murat Akçakaya, Hooman Nezamfar, Gerald LaMountain, Umut Orhan, Deniz Erdogmus:
A Bayesian Framework for Intent Detection and Stimulation Selection in SSVEP BCIs. IEEE Signal Process. Lett. 22(6): 743-747 (2015) - [j80]Esra Ataer Cansizoglu, Murat Akçakaya, Deniz Erdogmus:
Minor Surfaces are Boundaries of Mode-Based Clusters. IEEE Signal Process. Lett. 22(7): 891-895 (2015) - [j79]Junwei Han, Tianming Liu, Christine Cong Guo, Deniz Erdogmus, John (Juyang) Weng:
Guest Editorial Multimodal Modeling and Analysis Informed by Brain Imaging - Part 1. IEEE Trans. Auton. Ment. Dev. 7(3): 158-161 (2015) - [j78]A. Emre Onuk, Murat Akçakaya, Jaydeep P. Bardhan, Deniz Erdogmus, Dana H. Brooks, Lee Makowski:
Constrained Maximum Likelihood Estimation of Relative Abundances of Protein Conformation in a Heterogeneous Mixture From Small Angle X-Ray Scattering Intensity Measurements. IEEE Trans. Signal Process. 63(20): 5383-5394 (2015) - [j77]Matineh Shaker, Jonas Nordhaug Myhre, Deniz Erdogmus:
Computationally Efficient Exact Calculation of Kernel Density Derivatives. J. Signal Process. Syst. 81(3): 321-332 (2015) - [c136]Mohammad Moghadamfalahi, Paula Gonzalez-Navarro, Murat Akçakaya, Umut Orhan, Deniz Erdogmus:
The Effect of Limiting Trial Count in Context Aware BCIs: A Case Study with Language Model Assisted Spelling. HCI (15) 2015: 281-292 - [c135]Verónica Bolón-Canedo, Esra Ataer Cansizoglu, Deniz Erdogmus, Jayashree Kalpathy-Cramer, Michael F. Chiang:
A GMM-based feature extraction technique for the automated diagnosis of Retinopathy of Prematurity. ISBI 2015: 1498-1501 - [c134]Esra Ataer Cansizoglu, Yuichi Taguchi, Jayashree Kalpathy-Cramer, Michael F. Chiang, Deniz Erdogmus:
Analysis of shape assumptions in 3D reconstruction of retina from multiple fundus images. ISBI 2015: 1502-1505 - [c133]Mohammad Moghadamfalahi, Jamshid Sourati, Murat Akçakaya, Hooman Nezamfar, Marzieh Haghighi, Deniz Erdogmus:
Active learning for efficient querying from a human oracle with noisy response in a language-model assisted brain computer interface. MLSP 2015: 1-6 - [c132]A. Emre Onuk, Murat Akçakaya, Jaydeep P. Bardhan, Deniz Erdogmus, Dana H. Brooks, Lee Makowski:
Maximum a posteriori estimation of relative abundances of protein conformations. MLSP 2015: 1-5 - [c131]Matineh Shaker, Deniz Erdogmus, Jennifer G. Dy, Sylvain Bouix:
Sparse model learning for high dimensional diffusion MRI data in traumatic brain injury. MLSP 2015: 1-6 - [c130]Matineh Shaker, M. Devrim Kaba, Deniz Erdogmus:
Manifold unwrapping using critical surfaces. MLSP 2015: 1-6 - [c129]Jamshid Sourati, Deniz Erdogmus, Murat Akçakaya, Steven C. Kazmierczak, Todd K. Leen:
A novel delta check method for detecting laboratory errors. MLSP 2015: 1-6 - [e2]Deniz Erdogmus, Murat Akçakaya, Suleyman Serdar Kozat, Jan Larsen:
25th IEEE International Workshop on Machine Learning for Signal Processing, MLSP 2015, Boston, MA, USA, September 17-20, 2015. IEEE 2015, ISBN 978-1-4673-7454-5 [contents] - 2014
- [j76]Bekir Dizdaroglu, Esra Ataer Cansizoglu, Jayashree Kalpathy-Cramer, Katie Keck, Michael F. Chiang, Deniz Erdogmus:
Structure-based level set method for automatic retinal vasculature segmentation. EURASIP J. Image Video Process. 2014: 39 (2014) - [j75]Esra Ataer Cansizoglu, Murat Akçakaya, Umut Orhan, Deniz Erdogmus:
Manifold learning by preserving distance orders. Pattern Recognit. Lett. 38: 120-131 (2014) - [j74]Jamshid Sourati, Deniz Erdogmus, Jennifer G. Dy, Dana H. Brooks:
Accelerated Learning-Based Interactive Image Segmentation Using Pairwise Constraints. IEEE Trans. Image Process. 23(7): 3057-3070 (2014) - [c128]Umut Orhan, Delia Fernandez-Canellas, Murat Akçakaya, Dana H. Brooks, Deniz Erdogmus:
Utilization of temporal trial dependency in ERP based BCIs. ACSSC 2014: 26-30 - [c127]Matthew S. Goodwin, Marzieh Haghighi, Qu Tang, Murat Akçakaya, Deniz Erdogmus, Stephen S. Intille:
Moving towards a real-time system for automatically recognizing stereotypical motor movements in individuals on the autism spectrum using wireless accelerometry. UbiComp 2014: 861-872 - [c126]Matineh Shaker, Jonas Nordhaug Myhre, M. Devrim Kaba, Deniz Erdogmus:
Invertible nonlinear cluster unwrapping. MLSP 2014: 1-6 - 2013
- [j73]Gunar Schirner, Deniz Erdogmus, Kaushik R. Chowdhury, Taskin Padir:
The Future of Human-in-the-Loop Cyber-Physical Systems. Computer 46(1): 36-45 (2013) - [j72]Esra Ataer Cansizoglu, Erhan Bas, Jayashree Kalpathy-Cramer, Gregory C. Sharp, Deniz Erdogmus:
Contour-based shape representation using principal curves. Pattern Recognit. 46(4): 1140-1150 (2013) - [j71]Matt Higger, Murat Akçakaya, Deniz Erdogmus:
A Robust Fusion Algorithm for Sensor Failure. IEEE Signal Process. Lett. 20(8): 755-758 (2013) - [c125]Andrew Fowler, Brian Roark, Umut Orhan, Deniz Erdogmus, Melanie Fried-Oken:
Improved inference and autotyping in EEG-based BCI typing systems. ASSETS 2013: 15:1-15:8 - [c124]Matt Higger, Murat Akçakaya, Umut Orhan, Deniz Erdogmus:
Robust Classification in RSVP Keyboard. HCI (24) 2013: 443-449 - [c123]Sheng You, Michael Massey, Nathan Shapiro, Deniz Erdogmus:
A novel line detection method in space-time images for microvascular blood flow analysis in sublingual microcirculatory videos. ISBI 2013: 828-831 - [c122]Nastaran Ghadar, Xikang Zhang, Kang Li, Deniz Erdogmus, Guillaume Thibault, Alireza Bayestehtashk, Izhak Shafran, Kris Coleman, Kathleen A. Grant:
Visual hull reconstruction for automated primate behavior observation. MLSP 2013: 1-6 - 2012
- [j70]Erhan Bas, Deniz Erdogmus, R. W. Draft, Jeff W. Lichtman:
Local tracing of curvilinear structures in volumetric color images: Application to the Brainbow analysis. J. Vis. Commun. Image Represent. 23(8): 1260-1271 (2012) - [c121]Umut Orhan, Deniz Erdogmus, Brian Roark, Barry Oken, Shalini Purwar, Kenneth E. Hild II, Andrew Fowler, Melanie Fried-Oken:
Improved accuracy using recursive Bayesian estimation based language model fusion in ERP-based BCI typing systems. EMBC 2012: 2497-2500 - [c120]Todd K. Leen, Deniz Erdogmus, Steven C. Kazmierczak:
Statistical error detection for clinical laboratory tests. EMBC 2012: 2720-2723 - [c119]Umut Orhan, Kenneth E. Hild II, Deniz Erdogmus, Brian Roark, Barry Oken, Melanie Fried-Oken:
RSVP keyboard: An EEG based typing interface. ICASSP 2012: 645-648 - [c118]Jamshid Sourati, Dana H. Brooks, Jennifer G. Dy, Esra Ataer Cansizoglu, Deniz Erdogmus, Milind Rajadhyaksha:
Unsupervised wrinkle detection in reflectance confocal microscopy images of the human skin. ICASSP 2012: 705-708 - [c117]Esra Ataer Cansizoglu, Deniz Erdogmus:
A mode-based clustering algorithm without mode seeking. ICASSP 2012: 1925-1928 - [c116]Erhan Bas, Esra Ataer Cansizoglu, Deniz Erdogmus, Jayashree Kalpathy-Cramer:
Retinal vasculature segmentation using principal spanning forests. ISBI 2012: 1792-1795 - [c115]Esra Ataer Cansizoglu, Sheng You, Jayashree Kalpathy-Cramer, Katie Keck, Michael F. Chiang, Deniz Erdogmus:
Observer and feature analysis on diagnosis of retinopathy of prematurity. MLSP 2012: 1-6 - [c114]Bekir Dizdaroglu, Esra Ataer Cansizoglu, Jayashree Kalpathy-Cramer, Katie Keck, Michael F. Chiang, Deniz Erdogmus:
Level sets for retinal vasculature segmentation using seeds from ridges and edges from phase maps. MLSP 2012: 1-6 - [c113]Nastaran Ghadarghadar, Esra Ataer Cansizoglu, Peng Zhang, Deniz Erdogmus:
A SIFT-point distribution-based method for head pose estimation. MLSP 2012: 1-4 - [c112]Yonghong Huang, Kenneth E. Hild II, Misha Pavel, Santosh Mathan, Deniz Erdogmus:
Neural correlates of visual perception in rapid serial visual presentation paradigms. MLSP 2012: 1-6 - [c111]Umut Orhan, Ang Li, Deniz Erdogmus:
Online regularized discriminant analysis. MLSP 2012: 1-6 - [c110]Ignacio Santamaría, Jerónimo Arenas-García, Gustavo Camps-Valls, Deniz Erdogmus, Fernando Pérez-Cruz:
Preface. MLSP 2012: 1 - [c109]Jamshid Sourati, Dana H. Brooks, Jennifer G. Dy, Deniz Erdogmus:
Constrained spectral clustering for image segmentation. MLSP 2012: 1-6 - [c108]Sheng You, Esra Ataer Cansizoglu, Deniz Erdogmus, Michael Massey, Nathan Shapiro:
Microvascular blood flow estimation in sublingual microcirculation videos based on a principal curve tracing algorithm. MLSP 2012: 1-6 - [c107]Peng Zhang, Esra Ataer Cansizoglu, Deniz Erdogmus:
Local linear approximation of principal curve projections. MLSP 2012: 1-6 - 2011
- [j69]Yonghong Huang, Deniz Erdogmus, Misha Pavel, Santosh Mathan, Kenneth E. Hild II:
A framework for rapid visual image search using single-trial brain evoked responses. Neurocomputing 74(12-13): 2041-2051 (2011) - [j68]Hooman Nezamfar, Umut Orhan, Shalini Purwar, Kenneth E. Hild II, Barry Oken, Deniz Erdogmus:
Decoding of multichannel EEG activity from the visual cortex in response to pseudorandom binary sequences of visual stimuli. Int. J. Imaging Syst. Technol. 21(2): 139-147 (2011) - [j67]Umut Ozertem, Deniz Erdogmus:
Locally Defined Principal Curves and Surfaces. J. Mach. Learn. Res. 12: 1249-1286 (2011) - [j66]Erhan Bas, Deniz Erdogmus:
Principal Curves as Skeletons of Tubular Objects - Locally Characterizing the Structures of Axons. Neuroinformatics 9(2-3): 181-191 (2011) - [j65]Erhan Bas, Deniz Erdogmus:
Connectivity of projected high dimensional data charts on one-dimensional curves. Signal Process. 91(10): 2404-2409 (2011) - [c106]Kenneth E. Hild II, Umut Orhan, Deniz Erdogmus, Brian Roark, Barry Oken, Shalini Purwar, Hooman Nezamfar, Melanie Fried-Oken:
An ERP-based Brain-Computer Interface for text entry using Rapid Serial Visual Presentation and Language Modeling. ACL (System Demonstrations) 2011: 38-43 - [c105]Justin Dauwels, Deniz Erdogmus:
Session MA7b: Multivariate and multimodal analysis of brain signals. ACSCC 2011: 114-116 - [c104]Umut Orhan, Deniz Erdogmus, Kenneth E. Hild II, Brian Roark, Barry Oken, Melanie Fried-Oken:
Context information significantly improves brain computer interface performance - a case study on text entry using a language model assisted BCI. ACSCC 2011: 132-136 - [c103]Sila Kurugol, Erhan Bas, Deniz Erdogmus, Jennifer G. Dy, Gregory C. Sharp, Dana H. Brooks:
Centerline extraction with principal curve tracing to improve 3D level set esophagus segmentation in CT images. EMBC 2011: 3403-3406 - [c102]Sheng You, Erhan Bas, Deniz Erdogmus:
Extraction of samples from airway and vessel trees in 3D lung CT based on a multi-scale principal curve tracing algorithm. EMBC 2011: 5157-5160 - [c101]Umut Orhan, Deniz Erdogmus, Brian Roark, Shalini Purwar, Kenneth E. Hild II, Barry Oken, Hooman Nezamfar, Melanie Fried-Oken:
Fusion with language models improves spelling accuracy for ERP-based brain computer interface spellers. EMBC 2011: 5774-5777 - [c100]Sheng You, Erhan Bas, Esra Ataer Cansizoglu, Jayashree Kalpathy-Cramer, Deniz Erdogmus:
Principal curve based semi-automatic segmentation of organs in 3D-CT. EMBC 2011: 6220-6223 - [c99]Esra Ataer Cansizoglu, Nastaran Ghadarghadar, Ramin Zareian, Erhan Bas, Jeffrey W. Ruberti, Deniz Erdogmus:
Motion flow analysis in cell videos using a multi-level clustering method. EMBC 2011: 7767-7770 - [c98]Sheng You, Erhan Bas, Deniz Erdogmus, Jayashree Kalpathy-Cramer:
Principal Curved Based Retinal Vessel Segmentation towards Diagnosis of Retinal Diseases. HISB 2011: 331-337 - [c97]Hooman Nezamfar, Umut Orhan, Deniz Erdogmus, Kenneth E. Hild II, Shalini Purwar, Barry Oken, Melanie Fried-Oken:
On visually evoked potentials in eeg induced by multiple pseudorandom binary sequences for brain computer interface design. ICASSP 2011: 2044-2047 - [c96]Erhan Bas, Deniz Erdogmus:
Polytope kernel density estimates on Delaunay graphs. ICASSP 2011: 2096-2099 - [c95]Erhan Bas, Deniz Erdogmus:
Sampling on locally defined principal manifolds. ICASSP 2011: 2276-2279 - [c94]Erhan Bas, Deniz Erdogmus:
A ridge scorewith application to piecewise linear neural reconstruction. ISBI 2011: 1341-1344 - [c93]Erhan Bas, Nastaran Ghadarghadar, Deniz Erdogmus:
Automated extraction of blood vessel networks from 3D microscopy image stacks via multi-scale principal curve tracing. ISBI 2011: 1358-1361 - 2010
- [j64]Olexiy O. Kyrgyzov, Deniz Erdogmus:
Numerical optimization of a sum-of-rank-1 decomposition for n-dimensional order-p symmetric tensors. Neurocomputing 73(16-18): 3323-3327 (2010) - [c92]Erhan Bas, Deniz Erdogmus:
Principal curve tracing. ESANN 2010 - [c91]Tian Lan, Deniz Erdogmus, Lois M. Black, Jan P. H. van Santen:
Identifying informative features for ERP speller systems based on RSVP paradigm. ESANN 2010 - [c90]Sheng You, Esra Ataer Cansizoglu, Deniz Erdogmus, James Tanyi, Jayashree Kalpathy-Cramer:
A Novel Application of Principal Surfaces to Segmentation in 4D-CT for Radiation Treatment Planning. ICMLA 2010: 758-763 - [c89]Erhan Bas, Deniz Erdogmus:
Piecewise linear cylinder models for 3-dimensional axon segmentation in brainbow imagery. ISBI 2010: 1297-1300 - [p7]Dongxin Xu, Deniz Erdogmus:
Renyi's Entropy, Divergence and Their Nonparametric Estimators. Information Theoretic Learning 2010: 47-102 - [p6]Deniz Erdogmus, Weifeng Liu:
Adaptive Information Filtering with Error Entropy and Error Correntropy Criteria. Information Theoretic Learning 2010: 103-140 - [p5]Deniz Erdogmus, Seungju Han, Abhishek Singh:
Algorithms for Entropy and Correntropy Adaptation with Applications to Linear Systems. Information Theoretic Learning 2010: 141-179 - [p4]Deniz Erdogmus, Rodney Morejon, Weifeng Liu:
Nonlinear Adaptive Filtering with MEE, MCC, and Applications. Information Theoretic Learning 2010: 181-218 - [p3]Deniz Erdogmus, Dongxin Xu, Kenneth E. Hild II:
Classification with EEC, Divergence Measures, and Error Bounds. Information Theoretic Learning 2010: 219-261 - [p2]Sudhir Rao, Deniz Erdogmus, Dongxin Xu, Kenneth E. Hild II:
Self-Organizing ITL Principles for Unsupervised Learning. Information Theoretic Learning 2010: 299-349
2000 – 2009
- 2009
- [j63]Umut Ozertem, Deniz Erdogmus:
Second-Order Volterra System Identification With Noisy Input-Output Measurements. IEEE Signal Process. Lett. 16(1): 18-21 (2009) - [j62]Juan Manuel Górriz, Javier Ramírez, Sergio Antonio Cruces-Alvarez, Carlos García Puntonet, Elmar Wolfgang Lang, Deniz Erdogmus:
A Novel LMS Algorithm Applied to Adaptive Noise Cancellation. IEEE Signal Process. Lett. 16(1): 34-37 (2009) - [j61]Umut Ozertem, Deniz Erdogmus:
RKHS Bayes Discriminant: A Subspace Constrained Nonlinear Feature Projection for Signal Detection. IEEE Trans. Neural Networks 20(7): 1195-1203 (2009) - [j60]Umut Ozertem, Deniz Erdogmus:
Principal curve time warping. IEEE Trans. Signal Process. 57(6): 2041-2049 (2009) - [c88]Yonghong Huang, Deniz Erdogmus, Misha Pavel, Kenneth E. Hild II, Santosh Mathan:
Target detection using incremental learning on single-trial evoked response. ICASSP 2009: 481-484 - [c87]Ervin Sejdic, Umut Ozertem, Igor Djurovic, Deniz Erdogmus:
A new approach for the reassignment of time-frequency representations. ICASSP 2009: 2997-3000 - [c86]Jayashree Kalpathy-Cramer, Umut Ozertem, William R. Hersh, Martin Fuss, Deniz Erdogmus:
Robust segmentation using non-parametric snakes with multiple cues for applications in radiation oncology. Image Processing 2009: 72594S - [r1]Deniz Erdogmus, José Carlos Príncipe:
Information Theoretic Learning. Encyclopedia of Artificial Intelligence 2009: 902-909 - 2008
- [j59]Deniz Erdogmus, Danilo P. Mandic, Toshihisa Tanaka:
Advances in blind signal processing. Neurocomputing 71(10-12): 2069-2070 (2008) - [j58]Umut Ozertem, Deniz Erdogmus, Robert Jenssen:
Mean shift spectral clustering. Pattern Recognit. 41(6): 1924-1938 (2008) - [j57]Puskal P. Pokharel, Umut Ozertem, Deniz Erdogmus, José C. Príncipe:
Recursive complex BSS via generalized eigendecomposition and application in image rejection for BPSK. Signal Process. 88(6): 1368-1381 (2008) - [j56]Michael R. Lightner, Deniz Erdogmus:
Signal processing challenges in cognitive assistive technology [Exploratory DSP]. IEEE Signal Process. Mag. 25(5): 103-108 (2008) - [j55]Umut Ozertem, Ismail Uysal, Deniz Erdogmus:
Continuously Differentiable Sample-Spacing Entropy Estimation. IEEE Trans. Neural Networks 19(11): 1978-1984 (2008) - [c85]Santosh Mathan, Deniz Erdogmus, Yonghong Huang, Misha Pavel, Patricia Ververs, James Carciofini, Michael C. Dorneich, Stephen Whitlow:
Rapid image analysis using neural signals. CHI Extended Abstracts 2008: 3309-3314 - [c84]Juan Manuel Górriz, Javier Ramírez, Carlos García Puntonet, Sergio Antonio Cruces-Alvarez, Deniz Erdogmus, Elmar Wolfgang Lang:
A trade-off between convergence speed and misadjustment for filtering discontinuous speech signals. EUSIPCO 2008: 1-5 - [c83]Yonghong Huang, Deniz Erdogmus, Santosh Mathan, Misha Pavel:
Large-scale image database triage via EEG evoked responses. ICASSP 2008: 429-432 - [c82]Yonghong Huang, Deniz Erdogmus, Zhengdong Lu, Todd K. Leen:
Detecting mild cognitive loss with continuous monitoring of medication adherence. ICASSP 2008: 609-612 - [c81]Umut Ozertem, Deniz Erdogmus:
Local conditions for critical and principal manifolds. ICASSP 2008: 1893-1896 - [c80]Umut Ozertem, Deniz Erdogmus, Miguel Á. Carreira-Perpiñán:
Density geodesics for similarity clustering. ICASSP 2008: 1977-1980 - [c79]Umut Ozertem, Deniz Erdogmus:
Signal denoising using principal curves: Application to timewarping. ICASSP 2008: 3709-3712 - [c78]Zhengdong Lu, Todd K. Leen, Yonghong Huang, Deniz Erdogmus:
A reproducing kernel Hilbert space framework for pairwise time series distances. ICML 2008: 624-631 - [c77]Olexiy O. Kyrgyzov, Deniz Erdogmus:
Geometric structure of sum-of-rank-1 decompositions for n-dimensional order-p symmetric tensors. ISCAS 2008: 1340-1343 - [p1]Deniz Erdogmus, Umut Ozertem, Tian Lan:
Information Theoretic Feature Selection and Projection. Speech, Audio, Image and Biomedical Signal Processing using Neural Networks 2008: 1-22 - 2007
- [j54]Anant Hegde, Deniz Erdogmus, Deng-Shan Shiau, José C. Príncipe, J. Chris Sackellares:
Clustering Approach to Quantify Long-Term Spatio-Temporal Interactions in Epileptic Intracranial Electroencephalography. Comput. Intell. Neurosci. 2007 (2007) - [j53]Tian Lan, Deniz Erdogmus, André Adami, Santosh Mathan, Misha Pavel:
Channel Selection and Feature Projection for Cognitive Load Estimation Using Ambulatory EEG. Comput. Intell. Neurosci. 2007 (2007) - [j52]Jeongho Cho, José C. Príncipe, Deniz Erdogmus, Mark A. Motter:
Quasi-sliding mode control strategy based on multiple-linear models. Neurocomputing 70(4-6): 960-974 (2007) - [j51]Robert Jenssen, Deniz Erdogmus, Kenneth E. Hild II, José C. Príncipe, Torbjørn Eltoft:
Information cut for clustering using a gradient descent approach. Pattern Recognit. 40(3): 796-806 (2007) - [j50]Allan Kardec Barros, José Carlos Príncipe, Deniz Erdogmus:
Independent Component Analysis and Blind Source Separation. Signal Process. 87(8): 1817-1818 (2007) - [j49]Seungju Han, Sudhir Rao, Deniz Erdogmus, Kyu-Hwa Jeong, José Carlos Príncipe:
A minimum-error entropy criterion with self-adjusting step-size (MEE-SAS). Signal Process. 87(11): 2733-2745 (2007) - [j48]Umut Ozertem, Deniz Erdogmus:
Nonparametric Snakes. IEEE Trans. Image Process. 16(9): 2361-2368 (2007) - [j47]Robert Jenssen, Deniz Erdogmus, José C. Príncipe, Torbjørn Eltoft:
The Laplacian Classifier. IEEE Trans. Signal Process. 55(7-1): 3262-3271 (2007) - [j46]David J. Miller, Deniz Erdogmus:
Guest Editorial for Special Issue on the 2005 IEEE Workshop on Machine Learning for Signal Processing. J. VLSI Signal Process. 48(1-2): 1-3 (2007) - [j45]Tian Lan, Deniz Erdogmus:
Maximally Informative Feature and Sensor Selection in Pattern Recognition Using Local and Global Independent Component Analysis. J. VLSI Signal Process. 48(1-2): 39-52 (2007) - [j44]Umut Ozertem, Deniz Erdogmus:
Information Regularized Sensor Fusion: Application to Localization With Distributed Motion Sensors. J. VLSI Signal Process. 49(2): 291-299 (2007) - [j43]Jing Zhao, Dapeng Wu, Deniz Erdogmus, Yuguang Fang, Zhihai He:
Adaptive motion estimation schemes using maximum mutual information criterion. Wirel. Commun. Mob. Comput. 7(2): 205-215 (2007) - [c76]Deniz Erdogmus, Umut Ozertem:
Self-Consistent Locally Defined Principal Surfaces. ICASSP (2) 2007: 549-552 - [c75]Puskal P. Pokharel, Umut Ozertem, Deniz Erdogmus, José C. Príncipe:
Recursive Complex Blind Source Separation via Eigendecomposition of Cumulant Matrices. ICASSP (2) 2007: 645-648 - [c74]Umut Ozertem, Deniz Erdogmus:
Information Regularized Maximum Likelihood for Binary Motion Sensors. ICASSP (2) 2007: 1021-1024 - [c73]Deniz Erdogmus, Umut Ozertem:
Nonlinear Coordinate Unfolding Via Principal Curve Projections with Application to Nonlinear BSS. ICONIP (2) 2007: 488-497 - [c72]Umut Ozertem, Andras Gruber, Deniz Erdogmus:
Automatic Brain Image Segmentation for Evaluation of Experimental Ischemic Stroke Using Gradient vector flow and kernel annealing. IJCNN 2007: 1397-1400 - [c71]Umut Ozertem, Deniz Erdogmus:
A Nonparametric Approach for Active Contours. IJCNN 2007: 1407-1410 - [c70]Seungju Han, Sudhir Rao, Deniz Erdogmus, José C. Príncipe:
A Novel Switching Scheme Between Adaptive Information Algorithms. IJCNN 2007: 2840-2845 - 2006
- [j42]Robert Jenssen, José C. Príncipe, Deniz Erdogmus, Torbjørn Eltoft:
The Cauchy-Schwarz divergence and Parzen windowing: Connections to graph theory and Mercer kernels. J. Frankl. Inst. 343(6): 614-629 (2006) - [j41]Kenneth E. Hild II, Deniz Erdogmus, Kari Torkkola, José C. Príncipe:
Feature Extraction Using Information-Theoretic Learning. IEEE Trans. Pattern Anal. Mach. Intell. 28(9): 1385-1392 (2006) - [j40]Umut Ozertem, Deniz Erdogmus, Robert Jenssen:
Spectral feature projections that maximize Shannon mutual information with class labels. Pattern Recognit. 39(7): 1241-1252 (2006) - [j39]Kenneth E. Hild II, Deniz Erdogmus, José C. Príncipe:
An analysis of entropy estimators for blind source separation. Signal Process. 86(1): 182-194 (2006) - [j38]Deniz Erdogmus, José C. Príncipe:
From linear adaptive filtering to nonlinear information processing - The design and analysis of information processing systems. IEEE Signal Process. Mag. 23(6): 14-33 (2006) - [j37]Jeongho Cho, José Carlos Príncipe, Deniz Erdogmus, Mark A. Motter:
Modeling and inverse controller design for an unmanned aerial vehicle based on the self-organizing map. IEEE Trans. Neural Networks 17(2): 445-460 (2006) - [j36]Kenneth E. Hild II, Deniz Erdogmus, José Carlos Príncipe:
Experimental upper bound for the performance of convolutive source separation methods. IEEE Trans. Signal Process. 54(2): 627-635 (2006) - [j35]Robert Jenssen, Torbjørn Eltoft, Deniz Erdogmus, José C. Príncipe:
Some Equivalences between Kernel Methods and Information Theoretic Methods. J. VLSI Signal Process. 45(1-2): 49-65 (2006) - [j34]Deniz Erdogmus, Robert Jenssen, Yadunandana N. Rao, José C. Príncipe:
Gaussianization: An Efficient Multivariate Density Estimation Technique for Statistical Signal Processing. J. VLSI Signal Process. 45(1-2): 67-83 (2006) - [j33]Anant Hegde, José Carlos Príncipe, Deniz Erdogmus, Umut Ozertem, Yadunandana N. Rao, Hemanth Peddaneni:
Perturbation-Based Eigenvector Updates for On-Line Principal Components Analysis and Canonical Correlation Analysis. J. VLSI Signal Process. 45(1-2): 85-95 (2006) - [c69]Santosh Mathan, Stephen Whitlow, Deniz Erdogmus, Misha Pavel, Patricia Ververs, Michael C. Dorneich:
Neurophysiologically driven image triage: a pilot study. CHI Extended Abstracts 2006: 1085-1090 - [c68]Yonghong Huang, Deniz Erdogmus, Santosh Mathan, Misha Pavel:
Boosting Linear Logistic Regression for Single Trial ERP Detection in Rapid Serial Visual Presentation Tasks. EMBC 2006: 3369-3372 - [c67]Umut Ozertem, Deniz Erdogmus, Tian Lan:
Recursive Generalized Eigendecomposition for Independent Component Analysis. ICA 2006: 198-205 - [c66]Frédéric Vrins, Deniz Erdogmus, Christian Jutten, Michel Verleysen:
Zero-Entropy Minimization for Blind Extraction of Bounded Sources (BEBS). ICA 2006: 747-754 - [c65]Tian Lan, Yonghong Huang, Deniz Erdogmus:
A Comparison of Linear ICA and Local Linear ICA for Mutual Information Based Feature Ranking. ICA 2006: 823-830 - [c64]Umut Ozertem, Deniz Erdogmus, Tian Lan:
Mean Shift Spectral Clustering for Perceptual Image Segmentation. ICASSP (2) 2006: 117-120 - [c63]Deniz Erdogmus, Miguel Á. Carreira-Perpiñán, Umut Ozertem:
Kernel Density Estimation, Affinity-Based Clustering, And Typical Cuts. ICASSP (5) 2006: 569-572 - [c62]Puskal P. Pokharel, Jian-Wu Xu, Deniz Erdogmus, José C. Príncipe:
A Closed Form Solution for a Nonlinear Wiener Filter. ICASSP (3) 2006: 720-723 - [c61]Yonghong Huang, Deniz Erdogmus, Santosh Mathan, Misha Pavel:
Comparison of Linear and Nonlinear Approaches on Single Trial ERP Detection in Rapid Serial Visual Presentation Tasks. IJCNN 2006: 1136-1142 - [c60]Tian Lan, Deniz Erdogmus, Misha Pavel, Santosh Mathan:
Automatic Frequency Bands Segmentation Using Statistical Similarity for Power Spectrum Density Based Brain Computer Interfaces. IJCNN 2006: 4650-4655 - [c59]Umut Ozertem, Deniz Erdogmus:
Clustering with Normalized Information Potential Constrained Maximum Entropy Boltzmann Distribution. IJCNN 2006: 4892-4897 - [c58]Robert Jenssen, Deniz Erdogmus, José C. Príncipe:
Information Theoretic Angle-Based Spectral Clustering: A Theoretical Analysis and an Algorithm. IJCNN 2006: 4904-4911 - [c57]Tian Lan, Deniz Erdogmus, Umut Ozertem, Yonghong Huang:
Estimating Mutual Information Using Gaussian Mixture Model for Feature Ranking and Selection. IJCNN 2006: 5034-5039 - [c56]Robert Jenssen, Torbjørn Eltoft, Mark A. Girolami, Deniz Erdogmus:
Kernel Maximum Entropy Data Transformation and an Enhanced Spectral Clustering Algorithm. NIPS 2006: 633-640 - [e1]Justinian P. Rosca, Deniz Erdogmus, José Carlos Príncipe, Simon Haykin:
Independent Component Analysis and Blind Signal Separation, 6th International Conference, ICA 2006, Charleston, SC, USA, March 5-8, 2006, Proceedings. Lecture Notes in Computer Science 3889, Springer 2006, ISBN 3-540-32630-8 [contents] - 2005
- [j32]Jing Lan, Jeongho Cho, Deniz Erdogmus, José C. Príncipe, Mark A. Motter, Jian-Wu Xu:
Local Linear PID Controllers for Nonlinear Control. Control. Intell. Syst. 33(1) (2005) - [j31]Sung-Phil Kim, Yadunandana N. Rao, Deniz Erdogmus, Justin C. Sanchez, Miguel A. L. Nicolelis, José C. Príncipe:
Determining Patterns in Neural Activity for Reaching Movements Using Nonnegative Matrix Factorization. EURASIP J. Adv. Signal Process. 2005(19): 3113-3121 (2005) - [j30]Yadunandana N. Rao, Deniz Erdogmus, Geetha Y. Rao, José C. Príncipe:
Fast error whitening algorithms for system identification and control with noisy data. Neurocomputing 69(1-3): 158-181 (2005) - [j29]Tue Lehn-Schiøler, Anant Hegde, Deniz Erdogmus, José Carlos Príncipe:
Vector quantization using information theoretic concepts. Nat. Comput. 4(1): 39-51 (2005) - [j28]Kyu-Hwa Jeong, Jian-Wu Xu, Deniz Erdogmus, José Carlos Príncipe:
A new classifier based on information theoretic learning with unlabeled data. Neural Networks 18(5-6): 719-726 (2005) - [j27]Deniz Erdogmus, José Carlos Príncipe:
Information Theoretic Signal Processing. Signal Process. 85(5): 873-874 (2005) - [j26]Deniz Erdogmus, Rati Agrawal, José Carlos Príncipe:
A mutual information extension to the matched filter. Signal Process. 85(5): 927-935 (2005) - [j25]Anant Hegde, Deniz Erdogmus, Deng-Shan Shiau, José Carlos Príncipe, J. Chris Sackellares:
Quantifying spatio-temporal dependencies in epileptic ECOG. Signal Process. 85(11): 2082-2100 (2005) - [j24]Kenneth E. Hild II, David Pinto, Deniz Erdogmus, José Carlos Príncipe:
Convolutive blind source separation by minimizing mutual information between segments of signals. IEEE Trans. Circuits Syst. I Regul. Pap. 52-I(10): 2188-2196 (2005) - [j23]Deniz Erdogmus, Oscar Fontenla-Romero, José C. Príncipe, Amparo Alonso-Betanzos, Enrique F. Castillo:
Linear-least-squares initialization of multilayer perceptrons through backpropagation of the desired response. IEEE Trans. Neural Networks 16(2): 325-337 (2005) - [j22]Marcelino Lázaro, Ignacio Santamaría, Deniz Erdogmus, Kenneth E. Hild II, Carlos Pantaleón, José C. Príncipe:
Stochastic blind equalization based on PDF fitting using Parzen estimator. IEEE Trans. Signal Process. 53(2-1): 696-704 (2005) - [j21]Yadunandana N. Rao, Deniz Erdogmus, José C. Príncipe:
Error whitening criterion for adaptive filtering: theory and algorithms. IEEE Trans. Signal Process. 53(3): 1057-1069 (2005) - [c55]Jian-Wu Xu, Deniz Erdogmus, José C. Príncipe:
Minimum error entropy Luenberger observer. ACC 2005: 1923-19283 - [c54]Robert Jenssen, Deniz Erdogmus, Kenneth E. Hild II, José Carlos Príncipe, Torbjørn Eltoft:
Optimizing the Cauchy-Schwarz PDF Distance for Information Theoretic, Non-parametric Clustering. EMMCVPR 2005: 34-45 - [c53]Tian Lan, André Adami, Deniz Erdogmus, Misha Pavel:
Estimating cognitive state using EEG signals. EUSIPCO 2005: 1-4 - [c52]Umut Ozertem, Deniz Erdogmus, Ignacio Santamaría:
Detection of nonlinearly distorted signals using mutual information. EUSIPCO 2005: 1-4 - [c51]Ignacio Santamaría, Deniz Erdogmus, Rati Agrawal, José C. Príncipe:
Robust matched filtering in the feature space. EUSIPCO 2005: 1-4 - [c50]Jing Zhao, Deniz Erdogmus, Cancan Huang, Dapeng Wu, Yuguang Fang:
An adaptive motion estimation scheme using maximum mutual information criteria. EUSIPCO 2005: 1-4 - [c49]Jeffrey R. Fitzsimmons, Rui Yan, Deniz Erdogmus:
MRI Image Reconstruction via Homomorphic Signal Processing. ICASSP (2) 2005: 121-124 - [c48]Yadunandana N. Rao, Sung-Phil Kim, Justin C. Sanchez, Deniz Erdogmus, José C. Príncipe, Jose M. Carmena, Mikhail A. Lebedev, Miguel A. L. Nicolelis:
Learning mappings in brain machine interfaces with echo state networks. ICASSP (5) 2005: 233-236 - [c47]Jian-Wu Xu, Deniz Erdogmus, Robert Jenssen, José C. Príncipe:
An information-theoretic perspective to kernel independent components analysis. ICASSP (5) 2005: 249-252 - [c46]Deniz Erdogmus, Yadunandana N. Rao, José C. Príncipe:
Supervised training of adaptive systems with partially labeled data. ICASSP (5) 2005: 321-324 - [c45]Robert Jenssen, Deniz Erdogmus, José C. Príncipe, Torbjørn Eltoft:
The Laplacian spectral classifier. ICASSP (5) 2005: 325-328 - [c44]Rui Yan, Guojun He, Deniz Erdogmus, Sung-Phil Kim, José C. Príncipe, Yijun Liu:
Separating Spatial and Temporal Activation Patterns in fMRI Using Competitive Subspace Projection. ICASSP (2) 2005: 473-476 - [c43]Umut Ozertem, Deniz Erdogmus:
Maximally discriminative spectral feature projections using mutual information. IJCNN 2005: 208-213 - [c42]Tian Lan, Deniz Erdogmus, André Adami, Michael Pavel:
Feature selection by independent component analysis and mutual information maximization in EEG signal classification. IJCNN 2005: 3011-3016 - 2004
- [j20]Deniz Erdogmus, Yadunandana N. Rao, Hemanth Peddaneni, Anant Hegde, José C. Príncipe:
Recursive Principal Components Analysis Using Eigenvector Matrix Perturbation. EURASIP J. Adv. Signal Process. 2004(13): 2034-2041 (2004) - [j19]Deniz Erdogmus, Kenneth E. Hild II, Yadunandana N. Rao, José Carlos Príncipe:
Minimax Mutual Information Approach for Independent Component Analysis. Neural Comput. 16(6): 1235-1252 (2004) - [j18]Deniz Erdogmus, Erik G. Larsson, Rui Yan, José Carlos Príncipe, Jeffrey R. Fitzsimmons:
Asymptotic SNR-performance of some image combination techniques for phased-array MRI. Signal Process. 84(6): 997-1003 (2004) - [j17]Deniz Erdogmus, Erik G. Larsson, Rui Yan, José Carlos Príncipe, Jeffrey R. Fitzsimmons:
Measuring the signal-to-noise ratio in magnetic resonance imaging: a caveat. Signal Process. 84(6): 1035-1040 (2004) - [j16]José Carlos Príncipe, Erkki Oja, Lei Xu, Andrzej Cichocki, Deniz Erdogmus:
Guest Editorial Special Issue on Information Theoretic Learning. IEEE Trans. Neural Networks 15(4): 789-791 (2004) - [j15]Vikas Sindhwani, Subrata Rakshit, Dipti Deodhare, Deniz Erdogmus, José Carlos Príncipe, Partha Niyogi:
Feature selection in MLPs and SVMs based on maximum output information. IEEE Trans. Neural Networks 15(4): 937-948 (2004) - [j14]Deniz Erdogmus, Kenneth E. Hild II, José C. Príncipe, Marcelino Lázaro, Ignacio Santamaría:
Adaptive blind deconvolution of linear channels using Renyi's entropy with Parzen window estimation. IEEE Trans. Signal Process. 52(6): 1489-1498 (2004) - [j13]Deniz Erdogmus, José C. Príncipe:
Lower and Upper Bounds for Misclassification Probability Based on Renyi's Information. J. VLSI Signal Process. 37(2-3): 305-317 (2004) - [c41]Marcelino Lázaro, Ignacio Santamaría, Javier Vía, Deniz Erdogmus:
Blind equalization of multilevel signals using support vector machines. EUSIPCO 2004: 41-44 - [c40]Deniz Erdogmus, Yadunandana N. Rao, José Carlos Príncipe:
Gaussianizing Transformations for ICA. ICA 2004: 26-32 - [c39]Luis Vielva, Ignacio Santamaría, Jesús Ibáñez, Deniz Erdogmus, José Carlos Príncipe:
On the Estimation of the Mixing Matrix for Underdetermined Blind Source Separation in an Arbitrary Number of Dimensions. ICA 2004: 185-192 - [c38]Jian-Wu Xu, Deniz Erdogmus, Yadunandana N. Rao, José Carlos Príncipe:
Minimax Mutual Information Approach for ICA of Complex-Valued Linear Mixtures. ICA 2004: 311-318 - [c37]Jian-Wu Xu, Deniz Erdogmus, José C. Príncipe:
Minimizing Fisher information of the error in supervised adaptive filter training. ICASSP (5) 2004: 513-516 - [c36]Deniz Erdogmus, Rui Yan, Erik G. Larsson, José C. Príncipe, Jeffrey R. Fitzsimmons:
Mixture of competitive linear models for phased-array magnetic resonance imaging. ICASSP (5) 2004: 585-588 - [c35]Yadunandana N. Rao, Deniz Erdogmus, José C. Príncipe:
Accurate linear parameter estimation in colored noise. ICASSP (2) 2004: 689-692 - [c34]Tue Lehn-Schiøler, Deniz Erdogmus, José C. Príncipe:
Parzen particle filters. ICASSP (5) 2004: 781-784 - [c33]Deniz Erdogmus, Yadunandana N. Rao, José C. Príncipe:
Nonlinear independent component analysis by homomorphic transformation of the mixtures. IJCNN 2004 - [c32]Anant Hegde, Deniz Erdogmus, Tue Lehn-Schiøler, Yadunandana N. Rao, José C. Príncipe:
Vector-quantization by density matching in the minimum Kullback-Leibler divergence sense. IJCNN 2004 - [c31]Robert Jenssen, Deniz Erdogmus, José Carlos Príncipe, Torbjørn Eltoft:
The Laplacian PDF Distance: A Cost Function for Clustering in a Kernel Feature Space. NIPS 2004: 625-632 - 2003
- [j12]Sung-Phil Kim, Justin C. Sanchez, Deniz Erdogmus, Yadunandana N. Rao, Johan Wessberg, José Carlos Príncipe, Miguel A. L. Nicolelis:
Divide-and-conquer approach for brain machine interfaces: nonlinear mixture of competitive linear models. Neural Networks 16(5-6): 865-871 (2003) - [j11]Yadunandana N. Rao, Deniz Erdogmus, Geetha Y. Rao, José Carlos Príncipe:
Stochastic error whitening algorithm for linear filter estimation with noisy data. Neural Networks 16(5-6): 873-880 (2003) - [j10]Deniz Erdogmus, Kenneth E. Hild II, José C. Príncipe:
Online entropy manipulation: stochastic information gradient. IEEE Signal Process. Lett. 10(8): 242-245 (2003) - [j9]Deniz Erdogmus, José C. Príncipe:
Convergence properties and data efficiency of the minimum error entropy criterion in ADALINE training. IEEE Trans. Signal Process. 51(7): 1966-1978 (2003) - [c30]Robert Jenssen, Deniz Erdogmus, Kenneth E. Hild II, José Carlos Príncipe, Torbjørn Eltoft:
Information Force Clustering Using Directed Trees. EMMCVPR 2003: 68-82 - [c29]Oscar Fontenla-Romero, Deniz Erdogmus, José Carlos Príncipe, Amparo Alonso-Betanzos, Enrique F. Castillo:
Accelerating the convergence speed of neural networks learning methods using least squares. ESANN 2003: 255-260 - [c28]Deniz Erdogmus, Yadunandana N. Rao, José Carlos Príncipe, Oscar Fontenla-Romero, Amparo Alonso-Betanzos:
Recursive Least Squares for an Entropy Regularized MSE Cost Function. ESANN 2003: 451-456 - [c27]Oscar Fontenla-Romero, Deniz Erdogmus, José Carlos Príncipe, Amparo Alonso-Betanzos, Enrique F. Castillo:
Linear Least-Squares Based Methods for Neural Networks Learning. ICANN 2003: 84-91 - [c26]Rui Yan, Deniz Erdogmus, Erik G. Larsson, José C. Príncipe, Jeffrey R. Fitzsimmons:
Image combination for high-field phased-array MRI. ICASSP (5) 2003: 1-4 - [c25]Ching-An Lai, Deniz Erdogmus, José C. Príncipe:
Echo cancellation by global optimization of Kautz filters using an information theoretic criterion. ICASSP (6) 2003: 197-200 - [c24]Marcelino Lázaro, Ignacio Santamaría, Carlos Pantaleón, Deniz Erdogmus, José C. Príncipe:
Matched pdf-based blind equalization. ICASSP (4) 2003: 297-300 - [c23]Sung-Phil Kim, Yadunandana N. Rao, Deniz Erdogmus, José C. Príncipe:
A hybrid subspace projection method for system identification. ICASSP (6) 2003: 321-324 - [c22]Deniz Erdogmus, Yadunandana N. Rao, M. Can Ozturk, Luis Vielva, José C. Príncipe:
On the convergence of SIPEX: a simultaneous principal components extraction algorithm. ICASSP (2) 2003: 697-700 - [c21]Sung-Phil Kim, Justin C. Sanchez, Deniz Erdogmus, Yadunandana N. Rao, José C. Príncipe, Miguel A. L. Nicolelis:
Modeling the relation from motor cortical neuronal firing to hand movements using competitive linear filters and a MLP. IJCNN 2003: 66-70 - [c20]Mustafa C. Ozturk, José C. Príncipe, Bryan A. Davis, Deniz Erdogmus:
Simulation of the Freeman model of the olfactory cortex: a quantitative performance analysis for the DSP approach. IJCNN 2003: 332-336 - [c19]Robert Jenssen, Kenneth E. Hild II, Deniz Erdogmus, José C. Príncipe, Torbjørn Eltoft:
Clustering using Renyi's entropy. IJCNN 2003: 523-528 - [c18]Yadunandana N. Rao, Deniz Erdogmus, José C. Príncipe:
Error whitening criterion for linear filter estimation. IJCNN 2003: 1447-1452 - [c17]Deniz Erdogmus, Oscar Fontenla-Romero, José C. Príncipe, Amparo Alonso-Betanzos, Enrique F. Castillo, Robert Jenssen:
Accurate initialization of neural network weights by backpropagation of the desired response. IJCNN 2003: 2005-2010 - [c16]Bryan A. Davis, Deniz Erdogmus, Yadunandana N. Rao, José C. Príncipe:
Supervised synaptic weight adaptation for a spiking neuron. IJCNN 2003: 2558-2562 - [c15]Yadunandana N. Rao, Deniz Erdogmus, Geetha Y. Rao, José C. Príncipe:
Fast error whitening algorithms for system identification and control. NNSP 2003: 309-318 - [c14]Dorothee E. Marossero, Deniz Erdogmus, Neil R. Euliano, José C. Príncipe, Kenneth E. Hild II:
Independent components analysis for fetal electrocardiogram extraction: a case for the data efficient Mermaid algorithm. NNSP 2003: 399-408 - [c13]Anant Hegde, Deniz Erdogmus, Yadunandana N. Rao, José C. Príncipe, Jianbo Gao:
SOM-based similarity index measure: quantifying interactions between multivariate structures. NNSP 2003: 819-828 - 2002
- [j8]Deniz Erdogmus, Yadunandana N. Rao, Kenneth E. Hild II, José C. Príncipe:
Simultaneous Principal-Component Extraction with Application to Adaptive Blind Multiuser Detection. EURASIP J. Adv. Signal Process. 2002(12): 1473-1484 (2002) - [j7]Deniz Erdogmus, José Carlos Príncipe:
Insights on the relationship between probability of misclassification and information transfer through classifiers. Int. J. Comput. Syst. Signals 3(1): 40-54 (2002) - [j6]Deniz Erdogmus, Kenneth E. Hild II, José Carlos Príncipe:
Blind source separation using Renyi's -marginal entropies. Neurocomputing 49(1-4): 25-38 (2002) - [j5]Deniz Erdogmus, José Carlos Príncipe, Kenneth E. Hild II:
Beyond second-order statistics for learning: A pairwise interaction model for entropy estimation. Nat. Comput. 1(1): 85-108 (2002) - [j4]Deniz Erdogmus, José Carlos Príncipe:
Generalized information potential criterion for adaptive system training. IEEE Trans. Neural Networks 13(5): 1035-1044 (2002) - [j3]Ignacio Santamaría, Deniz Erdogmus, José Carlos Príncipe:
Entropy minimization for supervised digital communications channel equalization. IEEE Trans. Signal Process. 50(5): 1184-1192 (2002) - [j2]Deniz Erdogmus, José C. Príncipe:
An error-entropy minimization algorithm for supervised training of nonlinear adaptive systems. IEEE Trans. Signal Process. 50(7): 1780-1786 (2002) - [c12]Deniz Erdogmus, Kenneth E. Hild II, José C. Príncipe, Luis Vielva:
Blind separation of uncorrelated sources via principal component analysis of observations for a symmetric mixing matrix. EUSIPCO 2002: 1-4 - [c11]Deniz Erdogmus, José C. Príncipe, Luis Vielva:
Blind deconvolution with minimum Renyi's entropy. EUSIPCO 2002: 1-4 - [c10]Deniz Erdogmus, Yadunandana N. Rao, José C. Príncipe, Oscar Fontenla-Romero, Luis Vielva:
An efficient, robust, and fast converging principal components extraction algorithm: SIPEX-G. EUSIPCO 2002: 1-4 - [c9]Luis Vielva, Ignacio Santamaría, Carlos Pantaleón, Jesús Ibáñez, Deniz Erdogmus, José Carlos Príncipe:
Estimation of the mixing matrix for underdetermined blind source separation using spectral estimation techniques. EUSIPCO 2002: 1-4 - [c8]Deniz Erdogmus, José Carlos Príncipe, Luis Vielva, David Luengo:
Potential Energy and Particle Interaction Approach for Learning in Adaptive Systems. ICANN 2002: 456-461 - [c7]Kenneth E. Hild II, Deniz Erdogmus, José C. Príncipe:
Blind source separation of time-varying instantaneous mixtures using an on-line algorithm. ICASSP 2002: 993-996 - [c6]Deniz Erdogmus, Yadunandana N. Rao, José C. Príncipe, Jing Zhao, Kenneth E. Hild II:
Simultaneous extraction of Principal Components using givens rotations and output variances. ICASSP 2002: 1069-1072 - [c5]Luis Vielva, Deniz Erdogmus, Carlos Pantaleón, Ignacio Santamaría, J. A. Pereda, José C. Príncipe:
Underdetermined blind source separation in a time-varying environment. ICASSP 2002: 3049-3052 - [c4]Justin C. Sanchez, Sung-Phil Kim, Deniz Erdogmus, Yadunandana N. Rao, José C. Príncipe, Johan Wessberg, Miguel A. L. Nicolelis:
Input-output mapping performance of linear and nonlinear models for estimating hand trajectories from cortical neuronal firing patterns. NNSP 2002: 139-148 - [c3]Deniz Erdogmus, José C. Príncipe, Kenneth E. Hild II:
Do Hebbian synapses estimate entropy? NNSP 2002: 199-208 - [c2]Deniz Erdogmus, José C. Príncipe, Sung-Phil Kim, Justin C. Sanchez:
A recursive Renyi's entropy estimator. NNSP 2002: 209-217 - [c1]Deniz Erdogmus, Justin C. Sanchez, José C. Príncipe:
Modified Kalman filter based method for training state-recurrent multilayer perceptrons. NNSP 2002: 219-228 - 2001
- [j1]Kenneth E. Hild II, Deniz Erdogmus, José C. Príncipe:
Blind source separation using Renyi's mutual information. IEEE Signal Process. Lett. 8(6): 174-176 (2001)
Coauthor Index
J. Peter Campbell
aka: John Peter Campbell
aka: John Peter Campbell
Aziz Kocanaogullari
aka: Aziz Koçanaogullari
aka: Aziz Koçanaogullari
José C. Príncipe
aka: José Carlos Príncipe
aka: José Carlos Príncipe
[r1] [j57] [j54] [j52] [j51] [j50] [j49] [j47] [c75] [c70] [j42] [j41] [j39] [j38] [j37] [j36] [j35] [j34] [j33] [c62] [c58] [e1] [j32] [j31] [j30] [j29] [j28] [j27] [j26] [j25] [j24] [j23] [j22] [j21] [c55] [c54] [c51] [c48] [c47] [c46] [c45] [c44] [j20] [j19] [j18] [j17] [j16] [j15] [j14] [j13] [c40] [c39] [c38] [c37] [c36] [c35] [c34] [c33] [c32] [c31] [j12] [j11] [j10] [j9] [c30] [c29] [c28] [c27] [c26] [c25] [c24] [c23] [c22] [c21] [c20] [c19] [c18] [c17] [c16] [c15] [c14] [c13] [j8] [j7] [j6] [j5] [j4] [j3] [j2] [c12] [c11] [c10] [c9] [c8] [c7] [c6] [c5] [c4] [c3] [c2] [c1] [j1]
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