Stop the war!Остановите войну!
for scientists:
default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDDeniz Erdogmus
Person information
- affiliation: Northeastern University, Boston, USA
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2023
[j118]Bahar Azari
, Deniz Erdogmus:
Circular-symmetric correlation layer. Mach. Learn. 112(2): 611-631 (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) - [c201]Bahar Azari, Deniz Erdogmus:
Equivariant Deep Dynamical Model for Motion Prediction. AISTATS 2022: 11655-11668 - [c200]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 - [c199]Andac Demir, Toshiaki Koike-Akino, Ye Wang, Deniz Erdogmus:
EEG-GAT: Graph Attention Networks for Classification of Electroencephalogram (EEG) Signals. EMBC 2022: 30-35 - [c198]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 - [c197]Niklas Smedemark-Margulies, Ye Wang, Toshiaki Koike-Akino, Deniz Erdogmus:
AutoTransfer: Subject Transfer Learning with Censored Representations on Biosignals Data. EMBC 2022: 3159-3165 - [c196]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 - [c195]Nathaniel Hanson, Michael Shaham, Deniz Erdogmus, Taskin Padir:
VAST: Visual and Spectral Terrain Classification in Unstructured Multi-Class Environments. IROS 2022: 3956-3963 - [c194]Razieh Faghihpirayesh, Davood Karimi, Deniz Erdogmus, Ali Gholipour:
Deep Learning Framework for Real-Time Fetal Brain Segmentation in MRI. PIPPI@MICCAI 2022: 60-70 - [c193]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 - [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) - [c192]Ilkay Yildiz, Jennifer G. Dy, Deniz Erdogmus, Susan Ostmo, J. Peter Campbell, Michael F. Chiang, Stratis Ioannidis:
Deep Spectral Ranking. AISTATS 2021: 361-369 - [c191]Mehrshad Zandigohar, Deniz Erdogmus, Gunar Schirner:
NetCut: Real-Time DNN Inference Using Layer Removal. DATE 2021: 1845-1850 - [c190]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 - [c189]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 - [c188]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 - [c187]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 - [c186]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 - [c185]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 - [c184]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 - [c183]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 - [c182]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 - [c181]Ozan Özdenizci, Deniz Erdogmus:
On the use of generative deep neural networks to synthesize artificial multichannel EEG signals. NER 2021: 427-430 - [c180]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 - [c179]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) - [c178]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 - [c177]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 - [c176]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 - [c175]Mo Han, Ozan Özdenizci, Ye Wang, Toshiaki Koike-Akino, Deniz Erdogmus:
Disentangled Adversarial Transfer Learning for Physiological Biosignals. EMBC 2020: 422-425 - [c174]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 - [c173]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 - [c172]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 - [c171]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 - [c170]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 - [c169]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 - [c168]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 - [c167]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) - [c166]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 - [c165]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 - [c164]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 - [c163]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 - [c162]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 - [c161]Yeganeh M. Marghi, Aziz Koçanaogullari, Murat Akçakaya, Deniz Erdogmus:
A History-based Stopping Criterion in Recursive Bayesian State Estimation. ICASSP 2019: 3362-3366 - [c160]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 - [c159]Mohammadreza Sharif, Deniz Erdogmus, Taskin Padir:
Human-in-the-Loop Prosthetic Robot Hand Control Using Particle Filters for Grasp Selection. IRC 2019: 293-300 - [c158]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 - [c157]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. Medical Imaging: Computer-Aided Diagnosis 2019: 109501R - [c156]Andac Demir, Safaa Eldeeb, Murat Akçakaya, Deniz Erdogmus:
Dynamic System Identification For Guidance Of Stimulation Parameters In Haptic Simulation Environments. MLSP 2019: 1-6 - [c155]Safaa Eldeeb, Jordyn Ting, Deniz Erdogmus, Douglas J. Weber, Murat Akçakaya:
EEG-Based Texture Classification During Active Touch. MLSP 2019: 1-6 - [c154]Ozan Özdenizci, Ye Wang, Toshiaki Koike-Akino, Deniz Erdogmus:
Transfer Learning in Brain-Computer Interfaces with Adversarial Variational Autoencoders. NER 2019: 207-210 - [c153]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 - [c152]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 - [c151]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 - [c150]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 - [c149]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]