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Alexandros Iosifidis
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2020 – today
- 2024
- [j103]Arian Bakhtiarnia
, Qi Zhang
, Alexandros Iosifidis
:
Efficient High-Resolution Deep Learning: A Survey. ACM Comput. Surv. 56(7): 181:1-181:35 (2024) - [j102]Lukas Hedegaard, Aman Alok, Juby Jose, Alexandros Iosifidis:
Structured pruning adapters. Pattern Recognit. 156: 110724 (2024) - [j101]Firas Laakom
, Jenni Raitoharju
, Alexandros Iosifidis, Moncef Gabbouj
:
Reducing redundancy in the bottleneck representation of autoencoders. Pattern Recognit. Lett. 178: 202-208 (2024) - [c135]Arian Bakhtiarnia, Qi Zhang, Alexandros Iosifidis:
Accurate Gigapixel Crowd Counting by Iterative Zooming and Refinement. ICASSP 2024: 6510-6514 - [i141]Nan Li, Alexandros Iosifidis, Qi Zhang:
Dynamic Semantic Compression for CNN Inference in Multi-access Edge Computing: A Graph Reinforcement Learning-based Autoencoder. CoRR abs/2401.12167 (2024) - [i140]Negar Heidari, Alexandros Iosifidis:
Geometric Deep Learning for Computer-Aided Design: A Survey. CoRR abs/2402.17695 (2024) - [i139]Kateryna Chumachenko, Alexandros Iosifidis, Moncef Gabbouj:
MMA-DFER: MultiModal Adaptation of unimodal models for Dynamic Facial Expression Recognition in-the-wild. CoRR abs/2404.09010 (2024) - 2023
- [j100]Mehdi Rafiei
, Jenni Raitoharju
, Alexandros Iosifidis
:
Computer Vision on X-Ray Data in Industrial Production and Security Applications: A Comprehensive Survey. IEEE Access 11: 2445-2477 (2023) - [j99]Rasmus Ingemann Tuffveson Jensen
, Alexandros Iosifidis
:
Fighting Money Laundering With Statistics and Machine Learning. IEEE Access 11: 8889-8903 (2023) - [j98]Martin Magris, Alexandros Iosifidis:
Bayesian learning for neural networks: an algorithmic survey. Artif. Intell. Rev. 56(10): 11773-11823 (2023) - [j97]Christian Møldrup Legaard
, Thomas Schranz
, Gerald Schweiger
, Ján Drgona
, Basak Falay
, Cláudio Gomes
, Alexandros Iosifidis
, Mahdi Abkar
, Peter Gorm Larsen
:
Constructing Neural Network Based Models for Simulating Dynamical Systems. ACM Comput. Surv. 55(11): 236:1-236:34 (2023) - [j96]Rasmus Jensen, Alexandros Iosifidis:
Qualifying and raising anti-money laundering alarms with deep learning. Expert Syst. Appl. 214: 119037 (2023) - [j95]Kestutis Baltakys
, Margarita Baltakiene
, Negar Heidari
, Alexandros Iosifidis
, Juho Kanniainen
:
Predicting the trading behavior of socially connected investors: Graph neural network approach with implications to market surveillance. Expert Syst. Appl. 228: 120285 (2023) - [j94]Mostafa Shabani, Martin Magris, George Tzagkarakis, Juho Kanniainen
, Alexandros Iosifidis:
Predicting the state of synchronization of financial time series using cross recurrence plots. Neural Comput. Appl. 35(25): 18519-18531 (2023) - [j93]Fahad Sohrab
, Alexandros Iosifidis, Moncef Gabbouj
, Jenni Raitoharju
:
Graph-embedded subspace support vector data description. Pattern Recognit. 133: 108999 (2023) - [j92]Lukas Hedegaard
, Negar Heidari
, Alexandros Iosifidis:
Continual spatio-temporal graph convolutional networks. Pattern Recognit. 140: 109528 (2023) - [j91]Mostafa Shabani
, Dat Thanh Tran, Juho Kanniainen
, Alexandros Iosifidis:
Augmented bilinear network for incremental multi-stock time-series classification. Pattern Recognit. 141: 109604 (2023) - [c134]Firas Laakom, Jenni Raitoharju
, Alexandros Iosifidis, Moncef Gabbouj
:
WLD-Reg: A Data-Dependent Within-Layer Diversity Regularizer. AAAI 2023: 8421-8429 - [c133]Nan Li, Mehdi Bennis, Alexandros Iosifidis, Qi Zhang:
Spatiotemporal Attention-based Semantic Compression for Real-time Video Recognition. GLOBECOM (Workshops) 2023: 1603-1608 - [c132]Martin Magris
, Alexandros Iosifidis
:
Variational Inference for GARCH-family Models. ICAIF 2023: 541-548 - [c131]Arian Bakhtiarnia, Nemanja Milosevic, Qi Zhang
, Dragana Bajovic, Alexandros Iosifidis:
Dynamic Split Computing for Efficient Deep EDGE Intelligence. ICASSP 2023: 1-5 - [c130]Nan Li
, Alexandros Iosifidis, Qi Zhang
:
Attention-Based Feature Compression for CNN Inference Offloading in Edge Computing. ICC 2023: 967-972 - [c129]Andrea Cavagna, Nan Li
, Alexandros Iosifidis, Qi Zhang
:
Semantic Communication Enabling Robust Edge Intelligence for Time-Critical IoT Applications. ICC Workshops 2023: 1617-1622 - [c128]Lukas Hedegaard, Arian Bakhtiarnia, Alexandros Iosifidis:
Continual Transformers: Redundancy-Free Attention for Online Inference. ICLR 2023 - [c127]Arian Bakhtiarnia, Qi Zhang
, Alexandros Iosifidis:
PromptMix: Text-to-image diffusion models enhance the performance of lightweight networks. IJCNN 2023: 1-8 - [c126]Mehdi Rafiei
, Alexandros Iosifidis:
Class-Specific Variational Auto-Encoder for Content-Based Image Retrieval. IJCNN 2023: 1-8 - [c125]Mehdi Rafiei
, Dat Thanh Tran, Alexandros Iosifidis:
Recognition of Defective Mineral Wool Using Pruned ResNet Models. INDIN 2023: 1-6 - [c124]Christian Remi Wewer
, Alexandros Iosifidis:
Improving Online non-destructive Moisture Content Estimation using Data Augmentation by Feature Space Interpolation with Variational Autoencoders. INDIN 2023: 1-7 - [c123]Illia Oleksiienko, Dat Thanh Tran, Alexandros Iosifidis:
Variational Neural Networks. INNS DLIA@IJCNN 2023: 104-113 - [c122]Illia Oleksiienko, Alexandros Iosifidis:
Layer Ensembles. MLSP 2023: 1-6 - [c121]Firas Laakom
, Jenni Raitoharju
, Alexandros Iosifidis
, Moncef Gabbouj
:
Learning Distinct Features Helps, Provably. ECML/PKDD (2) 2023: 206-222 - [c120]Quoc Minh Nguyen, Dat Thanh Tran, Juho Kanniainen
, Alexandros Iosifidis, Moncef Gabbouj
:
Cryptocurrency Portfolio Optimization by Neural Networks. SSCI 2023: 25-32 - [c119]Illia Oleksiienko, Paraskevi Nousi, Nikolaos Passalis, Anastasios Tefas, Alexandros Iosifidis:
Variational Voxel Pseudo Image Tracking. SSCI 2023: 323-328 - [c118]Arian Bakhtiarnia, Qi Zhang
, Alexandros Iosifidis:
Crowd Counting on Heavily Compressed Images with Curriculum Pre-Training. SSCI 2023: 559-564 - [d5]Halil Ibrahim Ugurlu
, Amir Ramezani Dooraki
, Erdal Kayacan
, Alexandros Iosifidis
:
Multimodal Agricultural Aerial and Ground Robotics Simulation Dataset. Zenodo, 2023 - [i138]Firas Laakom, Jenni Raitoharju, Alexandros Iosifidis, Moncef Gabbouj:
WLD-Reg: A Data-dependent Within-layer Diversity Regularizer. CoRR abs/2301.01352 (2023) - [i137]Arian Bakhtiarnia, Qi Zhang, Alexandros Iosifidis:
PromptMix: Text-to-image diffusion models enhance the performance of lightweight networks. CoRR abs/2301.12914 (2023) - [i136]Morten From Elvebakken, Alexandros Iosifidis, Lukas Esterle:
Adaptive Parameterization of Deep Learning Models for Federated Learning. CoRR abs/2302.02949 (2023) - [i135]Illia Oleksiienko, Paraskevi Nousi, Nikolaos Passalis, Anastasios Tefas
, Alexandros Iosifidis:
Variational Voxel Pseudo Image Tracking. CoRR abs/2302.05914 (2023) - [i134]Illia Oleksiienko, Alexandros Iosifidis:
Uncertainty-Aware AB3DMOT by Variational 3D Object Detection. CoRR abs/2302.05923 (2023) - [i133]Christian Remi Wewer, Alexandros Iosifidis:
Online Non-Destructive Moisture Content Estimation of Filter Media During Drying Using Artificial Neural Networks. CoRR abs/2303.15570 (2023) - [i132]Mehdi Rafiei, Alexandros Iosifidis:
Class-Specific Variational Auto-Encoder for Content-Based Image Retrieval. CoRR abs/2304.11734 (2023) - [i131]Arian Bakhtiarnia, Qi Zhang, Alexandros Iosifidis:
Accurate Gigapixel Crowd Counting by Iterative Zooming and Refinement. CoRR abs/2305.09271 (2023) - [i130]Nan Li, Mehdi Bennis, Alexandros Iosifidis, Qi Zhang:
Spatiotemporal Attention-based Semantic Compression for Real-time Video Recognition. CoRR abs/2305.12796 (2023) - [i129]Blazej Leporowski, Arian Bakhtiarnia, Nicole Bonnici, Adrian Muscat, Luca Zanella, Yiming Wang, Alexandros Iosifidis:
Audio-Visual Dataset and Method for Anomaly Detection in Traffic Videos. CoRR abs/2305.15084 (2023) - [i128]Firas Laakom, Jenni Raitoharju, Alexandros Iosifidis, Moncef Gabbouj:
On Feature Diversity in Energy-based Models. CoRR abs/2306.01489 (2023) - [i127]Amir Ramezani Dooraki, Alexandros Iosifidis:
Curiosity-Driven Reinforcement Learning based Low-Level Flight Control. CoRR abs/2307.15724 (2023) - [i126]Firas Laakom, Fahad Sohrab, Jenni Raitoharju, Alexandros Iosifidis, Moncef Gabbouj:
Convolutional autoencoder-based multimodal one-class classification. CoRR abs/2309.14090 (2023) - [i125]Quoc Minh Nguyen, Dat Thanh Tran, Juho Kanniainen, Alexandros Iosifidis, Moncef Gabbouj:
Cryptocurrency Portfolio Optimization by Neural Networks. CoRR abs/2310.01148 (2023) - [i124]Martin Magris, Alexandros Iosifidis:
Variational Inference for GARCH-family Models. CoRR abs/2310.03435 (2023) - [i123]Mehdi Rafiei, Toby P. Breckon, Alexandros Iosifidis:
On Pixel-level Performance Assessment in Anomaly Detection. CoRR abs/2310.16435 (2023) - [i122]Kateryna Chumachenko, Alexandros Iosifidis, Moncef Gabbouj:
Improving Unimodal Inference with Multimodal Transformers. CoRR abs/2311.10170 (2023) - [i121]Mehdi Rafiei, Alexandros Iosifidis:
Multi-Class Anomaly Detection based on Regularized Discriminative Coupled hypersphere-based Feature Adaptation. CoRR abs/2311.14506 (2023) - 2022
- [j90]Firas Laakom
, Jenni Raitoharju
, Nikolaos Passalis
, Alexandros Iosifidis
, Moncef Gabbouj
:
Graph Embedding With Data Uncertainty. IEEE Access 10: 24232-24239 (2022) - [j89]Dat Thanh Tran
, Nikolaos Passalis
, Anastasios Tefas
, Moncef Gabbouj
, Alexandros Iosifidis
:
Attention-Based Neural Bag-of-Features Learning for Sequence Data. IEEE Access 10: 45542-45552 (2022) - [j88]Nan Li
, Alexandros Iosifidis, Qi Zhang
:
Collaborative edge computing for distributed CNN inference acceleration using receptive field-based segmentation. Comput. Networks 214: 109150 (2022) - [j87]Junaid Malik
, Serkan Kiranyaz
, Riyadh Al-Raoush, Olivier Monga
, Patricia Garnier, Sebti Foufou, Abdelaziz Bouras, Alexandros Iosifidis, Moncef Gabbouj
, Philippe C. Baveye:
3D Quantum Cuts for automatic segmentation of porous media in tomography images. Comput. Geosci. 159: 105017 (2022) - [j86]Dat Thanh Tran
, Moncef Gabbouj
, Alexandros Iosifidis
:
Remote Multilinear Compressive Learning With Adaptive Compression. IEEE Internet Things J. 9(9): 6905-6913 (2022) - [j85]Shaohua Wan, Chen Chen, Alexandros Iosifidis:
Editorial to special issue on cross-media learning for visual question answering. Image Vis. Comput. 118: 104355 (2022) - [j84]Kateryna Chumachenko, Alexandros Iosifidis, Moncef Gabbouj
:
Feedforward neural networks initialization based on discriminant learning. Neural Networks 146: 220-229 (2022) - [j83]Arian Bakhtiarnia
, Qi Zhang
, Alexandros Iosifidis:
Single-layer vision transformers for more accurate early exits with less overhead. Neural Networks 153: 461-473 (2022) - [j82]Illia Oleksiienko
, Dat Thanh Tran, Alexandros Iosifidis:
Variational Neural Networks implementation in Pytorch and JAX. Softw. Impacts 14: 100431 (2022) - [j81]Lei Xu
, Jenni Raitoharju
, Alexandros Iosifidis
, Moncef Gabbouj
:
Saliency-Based Multilabel Linear Discriminant Analysis. IEEE Trans. Cybern. 52(10): 10200-10213 (2022) - [c117]Lukas Hedegaard
, Alexandros Iosifidis:
Continual Inference: A Library for Efficient Online Inference with Deep Neural Networks in PyTorch. ECCV Workshops (7) 2022: 21-34 - [c116]Lukas Hedegaard
, Alexandros Iosifidis
:
Continual 3D Convolutional Neural Networks for Real-time Processing of Videos. ECCV (4) 2022: 369-385 - [c115]Kateryna Chumachenko, Alexandros Iosifidis, Moncef Gabbouj:
Weighted Edit Distance for Country Code Recognition in License Plates. EUSIPCO 2022: 1111-1115 - [c114]Mostafa Shabani, Dat Thanh Tran, Martin Magris, Juho Kanniainen, Alexandros Iosifidis:
Multi-head Temporal Attention-Augmented Bilinear Network for Financial time series prediction. EUSIPCO 2022: 1487-1491 - [c113]Nan Li
, Alexandros Iosifidis, Qi Zhang
:
Graph Reinforcement Learning-based CNN Inference Offloading in Dynamic Edge Computing. GLOBECOM 2022: 982-987 - [c112]Nan Li
, Alexandros Iosifidis, Qi Zhang
:
Distributed Deep Learning Inference Acceleration using Seamless Collaboration in Edge Computing. ICC 2022: 3667-3672 - [c111]Nan Li
, Alexandros Iosifidis, Qi Zhang
:
Receptive Field-based Segmentation for Distributed CNN Inference Acceleration in Collaborative Edge Computing. ICC 2022: 4281-4286 - [c110]Kateryna Chumachenko, Alexandros Iosifidis, Moncef Gabbouj
:
Self-attention fusion for audiovisual emotion recognition with incomplete data. ICPR 2022: 2822-2828 - [c109]Jenni Raitoharju
, Alexandros Iosifidis:
Generalized Reference Kernel for One-class Classification. IJCNN 2022: 1-9 - [c108]Fatemeh Kakavandi
, Roger De Reus, Cláudio Gomes
, Negar Heidari, Alexandros Iosifidis, Peter Gorm Larsen
:
Product Quality Control in Assembly Machine under Data Restricted Settings. INDIN 2022: 735-741 - [c107]Nikolaos Passalis, S. Pedrazzi, Robert Babuska, Wolfram Burgard, D. Dias, F. Ferro, Moncef Gabbouj
, O. Green, Alexandros Iosifidis, Erdal Kayacan, Jens Kober
, O. Michel, Nikos Nikolaidis
, Paraskevi Nousi, Roel Pieters
, Maria Tzelepi, Abhinav Valada
, Anastasios Tefas
:
OpenDR: An Open Toolkit for Enabling High Performance, Low Footprint Deep Learning for Robotics. IROS 2022: 12479-12484 - [c106]Arian Bakhtiarnia, Blazej Leporowski, Lukas Esterle
, Alexandros Iosifidis:
Analysis of the Effect of Low-Overhead Lossy Image Compression on the Performance of Visual Crowd Counting for Smart City Applications. ISC2 2022: 1-5 - [c105]Kateryna Chumachenko, Alexandros Iosifidis, Moncef Gabbouj
:
Self-Attention Neural Bag-of-Features. MLSP 2022: 1-6 - [c104]Firas Laakom, Jenni Raitoharju
, Alexandros Iosifidis, Moncef Gabbouj
:
Efficient CNN with uncorrelated Bag of Features pooling. SSCI 2022: 1082-1087 - [d4]Christian Wewer
, Alexandros Iosifidis:
Industrial drying of Filter Media - Moisture Content Prediction. IEEE DataPort, 2022 - [i120]Rasmus Jensen, Alexandros Iosifidis:
Fighting Money Laundering with Statistics and Machine Learning: An Introduction and Review. CoRR abs/2201.04207 (2022) - [i119]Mostafa Shabani, Dat Thanh Tran, Martin Magris, Juho Kanniainen, Alexandros Iosifidis:
Multi-head Temporal Attention-Augmented Bilinear Network for Financial time series prediction. CoRR abs/2201.05459 (2022) - [i118]Lukas Hedegaard, Arian Bakhtiarnia, Alexandros Iosifidis:
Continual Transformers: Redundancy-Free Attention for Online Inference. CoRR abs/2201.06268 (2022) - [i117]Kateryna Chumachenko, Alexandros Iosifidis, Moncef Gabbouj:
Self-Attention Neural Bag-of-Features. CoRR abs/2201.11092 (2022) - [i116]Kateryna Chumachenko, Alexandros Iosifidis, Moncef Gabbouj:
Self-attention fusion for audiovisual emotion recognition with incomplete data. CoRR abs/2201.11095 (2022) - [i115]Firas Laakom, Jenni Raitoharju, Alexandros Iosifidis, Moncef Gabbouj:
Reducing Redundancy in the Bottleneck Representation of the Autoencoders. CoRR abs/2202.04629 (2022) - [i114]Firas Laakom, Jenni Raitoharju, Nikolaos Passalis, Alexandros Iosifidis, Moncef Gabbouj:
Non-Linear Spectral Dimensionality Reduction Under Uncertainty. CoRR abs/2202.04678 (2022) - [i113]Andreas Holm Nielsen, Alexandros Iosifidis, Henrik Karstoft:
Forecasting large-scale circulation regimes using deformable convolutional neural networks and global spatiotemporal climate data. CoRR abs/2202.04964 (2022) - [i112]Nikolaos Passalis, S. Pedrazzi, Robert Babuska, Wolfram Burgard, D. Dias, F. Ferro, Moncef Gabbouj, O. Green, Alexandros Iosifidis, Erdal Kayacan, Jens Kober, O. Michel, Nikolaos Nikolaidis
, Paraskevi Nousi, Roel Pieters, Maria Tzelepi, Abhinav Valada, Anastasios Tefas:
OpenDR: An Open Toolkit for Enabling High Performance, Low Footprint Deep Learning for Robotics. CoRR abs/2203.00403 (2022) - [i111]Dat Thanh Tran, Juho Kanniainen, Alexandros Iosifidis:
How informative is the Order Book Beyond the Best Levels? Machine Learning Perspective. CoRR abs/2203.07922 (2022) - [i110]Lukas Hedegaard
, Negar Heidari, Alexandros Iosifidis:
Online Skeleton-based Action Recognition with Continual Spatio-Temporal Graph Convolutional Networks. CoRR abs/2203.11009 (2022) - [i109]Anssi Männistö, Mert Seker, Alexandros Iosifidis, Jenni Raitoharju:
Automatic Image Content Extraction: Operationalizing Machine Learning in Humanistic Photographic Studies of Large Visual Archives. CoRR abs/2204.02149 (2022) - [i108]Lukas Hedegaard, Alexandros Iosifidis:
Continual Inference: A Library for Efficient Online Inference with Deep Neural Networks in PyTorch. CoRR abs/2204.03418 (2022) - [i107]Jenni Raitoharju, Alexandros Iosifidis:
Generalized Reference Kernel for One-class Classification. CoRR abs/2205.00534 (2022) - [i106]Arian Bakhtiarnia, Nemanja Milosevic, Qi Zhang, Dragana Bajovic, Alexandros Iosifidis:
Dynamic Split Computing for Efficient Deep Edge Intelligence. CoRR abs/2205.11269 (2022) - [i105]Martin Magris, Mostafa Shabani, Alexandros Iosifidis:
Quasi Black-Box Variational Inference with Natural Gradients for Bayesian Learning. CoRR abs/2205.11568 (2022) - [i104]Illia Oleksiienko, Paraskevi Nousi, Nikolaos Passalis, Anastasios Tefas
, Alexandros Iosifidis:
VPIT: Real-time Embedded Single Object 3D Tracking Using Voxel Pseudo Images. CoRR abs/2206.02619 (2022) - [i103]Illia Oleksiienko, Dat Thanh Tran, Alexandros Iosifidis:
Variational Neural Networks. CoRR abs/2207.01524 (2022) - [i102]Arian Bakhtiarnia, Blazej Leporowski, Lukas Esterle, Alexandros Iosifidis:
Analysis of the Effect of Low-Overhead Lossy Image Compression on the Performance of Visual Crowd Counting for Smart City Applications. CoRR abs/2207.10155 (2022) - [i101]Nan Li, Alexandros Iosifidis, Qi Zhang:
Receptive Field-based Segmentation for Distributed CNN Inference Acceleration in Collaborative Edge Computing. CoRR abs/2207.11293 (2022) - [i100]Nan Li, Alexandros Iosifidis, Qi Zhang:
Distributed Deep Learning Inference Acceleration using Seamless Collaboration in Edge Computing. CoRR abs/2207.11294 (2022) - [i99]Mostafa Shabani, Dat Thanh Tran, Juho Kanniainen, Alexandros Iosifidis:
Augmented Bilinear Network for Incremental Multi-Stock Time-Series Classification. CoRR abs/2207.11577 (2022) - [i98]Arian Bakhtiarnia, Qi Zhang, Alexandros Iosifidis:
Efficient High-Resolution Deep Learning: A Survey. CoRR abs/2207.13050 (2022) - [i97]Elizabeth Fons, Alejandro Sztrajman, Yousef El-Laham, Alexandros Iosifidis, Svitlana Vyetrenko:
HyperTime: Implicit Neural Representation for Time Series. CoRR abs/2208.05836 (2022) - [i96]Arian Bakhtiarnia, Qi Zhang, Alexandros Iosifidis:
Crowd Counting on Heavily Compressed Images with Curriculum Pre-Training. CoRR abs/2208.07075 (2022) - [i95]Firas Laakom, Jenni Raitoharju, Alexandros Iosifidis, Moncef Gabbouj:
Efficient CNN with uncorrelated Bag of Features pooling. CoRR abs/2209.10865 (2022) - [i94]Majid Hosseini, Fahad Sohrab, Raju Gottumukkala, Ravi Teja Bhupatiraju, Satya Katragadda, Jenni Raitoharju, Alexandros Iosifidis, Moncef Gabbouj:
EmpathicSchool: A multimodal dataset for real-time facial expressions and physiological data analysis under different stress conditions. CoRR abs/2209.13542 (2022) - [i93]Illia Oleksiienko, Alexandros Iosifidis:
Layer Ensembles. CoRR abs/2210.04882 (2022) - [i92]Negar Heidari, Alexandros Iosifidis:
Learning Diversified Feature Representations for Facial Expression Recognition in the Wild. CoRR abs/2210.09381 (2022) - [i91]Nan Li, Alexandros Iosifidis, Qi Zhang:
Graph Reinforcement Learning-based CNN Inference Offloading in Dynamic Edge Computing. CoRR abs/2210.13464 (2022) - [i90]Martin Magris, Mostafa Shabani, Alexandros Iosifidis:
Exact Manifold Gaussian Variational Bayes. CoRR abs/2210.14598 (2022) - [i89]Mehdi Rafiei, Dat Thanh Tran, Alexandros Iosifidis:
Recognition of Defective Mineral Wool Using Pruned ResNet Models. CoRR abs/2211.00466 (2022) - [i88]Mehdi Rafiei, Jenni Raitoharju, Alexandros Iosifidis:
Computer Vision on X-ray Data in Industrial Production and Security Applications: A survey. CoRR abs/2211.05565 (2022) - [i87]Lukas Hedegaard
, Aman Alok, Juby Jose, Alexandros Iosifidis:
Structured Pruning Adapters. CoRR abs/2211.10155 (2022) - [i86]Martin Magris, Alexandros Iosifidis:
Bayesian Learning for Neural Networks: an algorithmic survey. CoRR abs/2211.11865 (2022) - [i85]Nan Li, Alexandros Iosifidis, Qi Zhang:
Attention-based Feature Compression for CNN Inference Offloading in Edge Computing. CoRR abs/2211.13745 (2022) - [i84]Zhongtian Dong, Nan Li
, Alexandros Iosifidis, Qi Zhang
:
Design and Prototyping Distributed CNN Inference Acceleration in Edge Computing. CoRR abs/2211.13778 (2022) - [i83]Andrea Cavagna, Nan Li, Alexandros Iosifidis, Qi Zhang:
Semantic Communication Enabling Robust Edge Intelligence for Time-Critical IoT Applications. CoRR abs/2211.13787 (2022) - 2021
- [j80]Firas Laakom
, Jenni Raitoharju
, Jarno Nikkanen
, Alexandros Iosifidis
, Moncef Gabbouj
:
INTEL-TAU: A Color Constancy Dataset. IEEE Access 9: 39560-39567 (2021) - [j79]Negar Heidari
, Alexandros Iosifidis
:
Progressive Graph Convolutional Networks for Semi-Supervised Node Classification. IEEE Access 9: 81957-81968 (2021) - [j78]Chandan Gautam
, Aruna Tiwari
, Pratik K. Mishra
, Suresh Sundaram, Alexandros Iosifidis
, Muhammad Tanveer:
Graph-Embedded Multi-Layer Kernel Ridge Regression for One-Class Classification. Cogn. Comput. 13(2): 552-569 (2021) - [j77]Reza Kharghanian
, Ali Peiravi, Farshad Moradi, Alexandros Iosifidis
:
Pain detection using batch normalized discriminant restricted Boltzmann machine layers. J. Vis. Commun. Image Represent. 76: 103062 (2021) - [j76]Serkan Kiranyaz
, Junaid Malik
, Habib Ben Abdallah, Turker Ince, Alexandros Iosifidis
, Moncef Gabbouj
:
Exploiting heterogeneity in operational neural networks by synaptic plasticity. Neural Comput. Appl. 33(13): 7997-8015 (2021) - [j75]Blazej Leporowski
, Alexandros Iosifidis
:
Visualising deep network time-series representations. Neural Comput. Appl. 33(23): 16489-16498 (2021) - [j74]Serkan Kiranyaz
, Junaid Malik
, Habib Ben Abdallah
, Turker Ince, Alexandros Iosifidis
, Moncef Gabbouj
:
Self-organized Operational Neural Networks with Generative Neurons. Neural Networks 140: 294-308 (2021) - [j73]Fahad Sohrab
, Jenni Raitoharju
, Alexandros Iosifidis
, Moncef Gabbouj
:
Multimodal subspace support vector data description. Pattern Recognit. 110: 107648 (2021) - [j72]Kateryna Chumachenko, Jenni Raitoharju
, Alexandros Iosifidis
, Moncef Gabbouj
:
Speed-up and multi-view extensions to subclass discriminant analysis. Pattern Recognit. 111: 107660 (2021) - [j71]Andreas Holm Nielsen
, Alexandros Iosifidis
, Henrik Karstoft:
CloudCast: A Satellite-Based Dataset and Baseline for Forecasting Clouds. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14: 3485-3494 (2021) - [j70]Lukas Hedegaard
, Omar Ali Sheikh-Omar, Alexandros Iosifidis
:
Supervised Domain Adaptation: A Graph Embedding Perspective and a Rectified Experimental Protocol. IEEE Trans. Image Process. 30: 8619-8631 (2021) - [j69]Guanqun Cao
, Alexandros Iosifidis
, Moncef Gabbouj
, Vijay Raghavan
, Raju Gottumukkala
:
Deep Multi-View Learning to Rank. IEEE Trans. Knowl. Data Eng. 33(4): 1426-1438 (2021) - [j68]Nikolaos Passalis
, Alexandros Iosifidis
, Moncef Gabbouj
, Anastasios Tefas
:
Hypersphere-Based Weight Imprinting for Few-Shot Learning on Embedded Devices. IEEE Trans. Neural Networks Learn. Syst. 32(2): 925-930 (2021) - [j67]Dat Thanh Tran
, Mehmet Yamaç
, Aysen Degerli
, Moncef Gabbouj
, Alexandros Iosifidis
:
Multilinear Compressive Learning. IEEE Trans. Neural Networks Learn. Syst. 32(4): 1512-1524 (2021) - [j66]Nikolaos Passalis
, Juho Kanniainen
, Moncef Gabbouj
, Alexandros Iosifidis
, Anastasios Tefas
:
Forecasting Financial Time Series Using Robust Deep Adaptive Input Normalization. J. Signal Process. Syst. 93(10): 1235-1251 (2021) - [c103]Hao Feng, Cláudio Gomes
, Casper Thule, Kenneth Lausdahl, Alexandros Iosifidis, Peter Gorm Larsen
:
Introduction to Digital Twin Engineering. ANNSIM 2021: 1-12 - [c102]Frederik Hvilshøj, Alexandros Iosifidis, Ira Assent:
ECINN: Efficient Counterfactuals from Invertible Neural Networks. BMVC 2021: 43 - [c101]Arian Bakhtiarnia, Qi Zhang, Alexandros Iosifidis:
Multi-Exit Vision Transformer for Dynamic Inference. BMVC 2021: 81 - [c100]Firas Laakom, Jenni Raitoharju, Jarno Nikkanen, Alexandros Iosifidis, Moncef Gabbouj:
Robust channel-wise illumination estimation. BMVC 2021: 104 - [c99]Firas Laakom, Kateryna Chumachenko, Jenni Raitoharju, Alexandros Iosifidis, Moncef Gabbouj:
Learning to ignore: rethinking attention in CNNs. BMVC 2021: 216 - [c98]Kateryna Chumachenko, Jenni Raitoharju
, Alexandros Iosifidis
, Moncef Gabbouj
:
Ensembling Object Detectors for Image and Video Data Analysis. ICASSP 2021: 1515-1519 - [c97]Negar Heidari, Alexandros Iosifidis
:
Progressive Spatio-Temporal Graph Convolutional Network for Skeleton-Based Human Action Recognition. ICASSP 2021: 3220-3224 - [c96]Elizabeth Fons, Paula Dawson, Xiao-Jun Zeng, John A. Keane, Alexandros Iosifidis
:
Augmenting Transferred Representations for Stock Classification. ICASSP 2021: 3915-3919 - [c95]Arian Bakhtiarnia, Qi Zhang
, Alexandros Iosifidis:
Improving the Accuracy of Early Exits in Multi-Exit Architectures via Curriculum Learning. IJCNN 2021: 1-8 - [c94]Negar Heidari, Alexandros Iosifidis:
On the spatial attention in spatio-temporal graph convolutional networks for skeleton-based human action recognition. IJCNN 2021: 1-7 - [c93]Firas Laakom, Jenni Raitoharju
, Alexandros Iosifidis, Jarno Nikkanen, Moncef Gabbouj
:
Monte Carlo Dropout Ensembles for Robust Illumination Estimation. IJCNN 2021: 1-7 - [c92]Mohammad Soltanian, Junaid Malik
, Jenni Raitoharju
, Alexandros Iosifidis, Serkan Kiranyaz, Moncef Gabbouj
:
Speech Command Recognition in Computationally Constrained Environments with a Quadratic Self-Organized Operational Layer. IJCNN 2021: 1-6 - [c91]Negar Heidari, Alexandros Iosifidis:
Progressive Spatio-Temporal Bilinear Network with Monte Carlo Dropout for Landmark-based Facial Expression Recognition with Uncertainty Estimation. MMSP 2021: 1-6 - [c90]Mert Seker, Anssi Männistö, Alexandros Iosifidis, Jenni Raitoharju
:
Automatic Main Character Recognition for Photographic Studies. MMSP 2021: 1-6 - [d3]Blazej Leporowski
, Daniella Tola, Casper Hansen, Alexandros Iosifidis
:
AURSAD: Universal Robot Screwdriving Anomaly Detection Dataset. Version 1.0. Zenodo, 2021 [all versions] - [d2]Blazej Leporowski
, Daniella Tola, Casper Hansen, Alexandros Iosifidis
:
AURSAD: Universal Robot Screwdriving Anomaly Detection Dataset. Version 1.1. Zenodo, 2021 [all versions] - [i82]Blazej Leporowski, Daniella Tola, Casper Hansen, Alexandros Iosifidis:
AURSAD: Universal Robot Screwdriving Anomaly Detection Dataset. CoRR abs/2102.01409 (2021) - [i81]Kateryna Chumachenko, Jenni Raitoharju, Alexandros Iosifidis, Moncef Gabbouj:
Ensembling object detectors for image and video data analysis. CoRR abs/2102.04798 (2021) - [i80]Elizabeth Fons, Paula Dawson, Xiao-Jun Zeng, John A. Keane, Alexandros Iosifidis:
Adaptive Weighting Scheme for Automatic Time-Series Data Augmentation. CoRR abs/2102.08310 (2021) - [i79]Mert Seker
, Anssi Männistö, Alexandros Iosifidis, Jenni Raitoharju:
Automatic Social Distance Estimation From Images: Performance Evaluation, Test Benchmark, and Algorithm. CoRR abs/2103.06759 (2021) - [i78]Blazej Leporowski, Alexandros Iosifidis:
Visualising Deep Network's Time-Series Representations. CoRR abs/2103.07176 (2021) - [i77]Frederik Hvilshøj, Alexandros Iosifidis, Ira Assent:
ECINN: Efficient Counterfactuals from Invertible Neural Networks. CoRR abs/2103.13701 (2021) - [i76]Dat Thanh Tran, Moncef Gabbouj, Alexandros Iosifidis:
Knowledge Distillation By Sparse Representation Matching. CoRR abs/2103.17012 (2021) - [i75]Arian Bakhtiarnia, Qi Zhang, Alexandros Iosifidis:
Improving the Accuracy of Early Exits in Multi-Exit Architectures via Curriculum Learning. CoRR abs/2104.10461 (2021) - [i74]Fahad Sohrab, Alexandros Iosifidis, Moncef Gabbouj, Jenni Raitoharju:
Graph-Embedded Subspace Support Vector Data Description. CoRR abs/2104.14370 (2021) - [i73]Arian Bakhtiarnia, Qi Zhang, Alexandros Iosifidis:
Single-Layer Vision Transformers for More Accurate Early Exits with Less Overhead. CoRR abs/2105.09121 (2021) - [i72]Illia Oleksiienko, Alexandros Iosifidis:
Analysis of voxel-based 3D object detection methods efficiency for real-time embedded systems. CoRR abs/2105.10316 (2021) - [i71]Lukas Hedegaard, Alexandros Iosifidis:
Continual 3D Convolutional Neural Networks for Real-time Processing of Videos. CoRR abs/2106.00050 (2021) - [i70]Negar Heidari, Alexandros Iosifidis:
Progressive Spatio-Temporal Bilinear Network with Monte Carlo Dropout for Landmark-based Facial Expression Recognition with Uncertainty Estimation. CoRR abs/2106.04332 (2021) - [i69]Firas Laakom, Jenni Raitoharju, Alexandros Iosifidis, Moncef Gabbouj:
Within-layer Diversity Reduces Generalization Gap. CoRR abs/2106.06012 (2021) - [i68]Mert Seker
, Anssi Männistö, Alexandros Iosifidis, Jenni Raitoharju:
Automatic Main Character Recognition for Photographic Studies. CoRR abs/2106.09064 (2021) - [i67]Arian Bakhtiarnia, Qi Zhang, Alexandros Iosifidis:
Multi-Exit Vision Transformer for Dynamic Inference. CoRR abs/2106.15183 (2021) - [i66]Blazej Leporowski, Daniella Tola, Casper Hansen, Alexandros Iosifidis:
Detecting Faults during Automatic Screwdriving: A Dataset and Use Case of Anomaly Detection for Automatic Screwdriving. CoRR abs/2107.01955 (2021) - [i65]Mostafa Shabani, Alexandros Iosifidis:
Low-Rank Temporal Attention-Augmented Bilinear Network for financial time-series forecasting. CoRR abs/2107.06995 (2021) - [i64]Dat Thanh Tran, Juho Kanniainen, Moncef Gabbouj, Alexandros Iosifidis:
Bilinear Input Normalization for Neural Networks in Financial Forecasting. CoRR abs/2109.00983 (2021) - [i63]Dat Thanh Tran, Moncef Gabbouj, Alexandros Iosifidis:
Remote Multilinear Compressive Learning with Adaptive Compression. CoRR abs/2109.01184 (2021) - [i62]Blazej Leporowski, Casper Hansen, Alexandros Iosifidis:
DeepTimeAnomalyViz: A Tool for Visualizing and Post-processing Deep Learning Anomaly Detection Results for Industrial Time-Series. CoRR abs/2109.10082 (2021) - [i61]Frederik Hvilshøj, Alexandros Iosifidis, Ira Assent
:
On Quantitative Evaluations of Counterfactuals. CoRR abs/2111.00177 (2021) - [i60]Christian Møldrup Legaard, Thomas Schranz, Gerald Schweiger, Ján Drgona, Basak Falay, Cláudio Gomes, Alexandros Iosifidis, Mahdi Abkar, Peter Gorm Larsen:
Constructing Neural Network-Based Models for Simulating Dynamical Systems. CoRR abs/2111.01495 (2021) - [i59]Firas Laakom, Kateryna Chumachenko, Jenni Raitoharju, Alexandros Iosifidis, Moncef Gabbouj:
Learning to ignore: rethinking attention in CNNs. CoRR abs/2111.05684 (2021) - 2020
- [j65]Fahad Sohrab
, Jenni Raitoharju
, Alexandros Iosifidis
, Moncef Gabbouj
:
Ellipsoidal Subspace Support Vector Data Description. IEEE Access 8: 122013-122025 (2020) - [j64]Kateryna Chumachenko
, Anssi Männistö, Alexandros Iosifidis
, Jenni Raitoharju
:
Machine Learning Based Analysis of Finnish World War II Photographers. IEEE Access 8: 144184-144196 (2020) - [j63]Alexandros Iosifidis
:
Probabilistic Class-Specific Discriminant Analysis. IEEE Access 8: 183847-183855 (2020) - [j62]Avraam Tsantekidis
, Nikolaos Passalis, Anastasios Tefas
, Juho Kanniainen
, Moncef Gabbouj
, Alexandros Iosifidis
:
Using Deep Learning for price prediction by exploiting stationary limit order book features. Appl. Soft Comput. 93: 106401 (2020) - [j61]Dat Thanh Tran
, Serkan Kiranyaz
, Moncef Gabbouj
, Alexandros Iosifidis
:
Progressive Operational Perceptrons with Memory. Neurocomputing 379: 172-181 (2020) - [j60]Serkan Kiranyaz
, Turker Ince, Alexandros Iosifidis
, Moncef Gabbouj
:
Operational neural networks. Neural Comput. Appl. 32(11): 6645-6668 (2020) - [j59]Marios Krestenitis
, Nikolaos Passalis
, Alexandros Iosifidis
, Moncef Gabbouj
, Anastasios Tefas
:
Recurrent bag-of-features for visual information analysis. Pattern Recognit. 106: 107380 (2020) - [j58]Nikolaos Passalis
, Alexandros Iosifidis
, Moncef Gabbouj
, Anastasios Tefas
:
Variance-preserving deep metric learning for content-based image retrieval. Pattern Recognit. Lett. 131: 8-14 (2020) - [j57]Nikolaos Passalis
, Anastasios Tefas
, Juho Kanniainen
, Moncef Gabbouj
, Alexandros Iosifidis
:
Temporal logistic neural Bag-of-Features for financial time series forecasting leveraging limit order book data. Pattern Recognit. Lett. 136: 183-189 (2020) - [j56]Alexandros Iosifidis
:
Class mean vector component and discriminant analysis. Pattern Recognit. Lett. 140: 207-213 (2020) - [j55]Alexandros Iosifidis
, Anastasios Tefas
:
Deep Learning for Visual Content Analysis. Signal Process. Image Commun. 83: 115806 (2020) - [j54]Johanna Ärje, Jenni Raitoharju
, Alexandros Iosifidis
, Ville Tirronen, Kristian Meissner
, Moncef Gabbouj
, Serkan Kiranyaz
, Salme Kärkkäinen:
Human experts vs. machines in taxa recognition. Signal Process. Image Commun. 87: 115917 (2020) - [j53]Nikolaos Passalis
, Anastasios Tefas
, Juho Kanniainen
, Moncef Gabbouj
, Alexandros Iosifidis
:
Temporal Bag-of-Features Learning for Predicting Mid Price Movements Using High Frequency Limit Order Book Data. IEEE Trans. Emerg. Top. Comput. Intell. 4(6): 774-785 (2020) - [j52]Firas Laakom
, Nikolaos Passalis, Jenni Raitoharju
, Jarno Nikkanen
, Anastasios Tefas
, Alexandros Iosifidis
, Moncef Gabbouj
:
Bag of Color Features for Color Constancy. IEEE Trans. Image Process. 29: 7722-7734 (2020) - [j51]Dat Thanh Tran
, Serkan Kiranyaz
, Moncef Gabbouj
, Alexandros Iosifidis
:
Heterogeneous Multilayer Generalized Operational Perceptron. IEEE Trans. Neural Networks Learn. Syst. 31(3): 710-724 (2020) - [j50]Nikolaos Passalis
, Anastasios Tefas
, Juho Kanniainen
, Moncef Gabbouj
, Alexandros Iosifidis
:
Deep Adaptive Input Normalization for Time Series Forecasting. IEEE Trans. Neural Networks Learn. Syst. 31(9): 3760-3765 (2020) - [c89]Nikolaos Passalis, Alexandros Iosifidis
, Moncef Gabbouj
, Anastasios Tefas
:
Robust Hypersphere-based Weight Imprinting for Few-Shot Learning. EUSIPCO 2020: 1392-1396 - [c88]Kateryna Chumachenko, Alexandros Iosifidis
, Moncef Gabbouj
:
Robust Fast Subclass Discriminant Analysis. EUSIPCO 2020: 1397-1401 - [c87]Nikolaos Passalis, Anastasios Tefas
, Juho Kanniainen
, Moncef Gabbouj
, Alexandros Iosifidis
:
Adaptive Normalization for Forecasting Limit Order Book Data Using Convolutional Neural Networks. ICASSP 2020: 1713-1717 - [c86]William Lund Sommer, Alexandros Iosifidis
:
Text-To-Image Synthesis Method Evaluation Based On Visual Patterns. ICASSP 2020: 4097-4101 - [c85]Dat Thanh Tran, Moncef Gabbouj
, Alexandros Iosifidis
:
Subset Sampling for Progressive Neural Network Learning. ICIP 2020: 713-717 - [c84]Firas Laakom
, Jenni Raitoharju
, Alexandros Iosifidis
, Uygar Tuna, Jarno Nikkanen
, Moncef Gabbouj
:
Probabilistic Color Constancy. ICIP 2020: 978-982 - [c83]Kateryna Chumachenko, Jenni Raitoharju
, Moncef Gabbouj
, Alexandros Iosifidis
:
Incremental Fast Subclass Discriminant Analysis. ICIP 2020: 1771-1775 - [c82]Marios Krestenitis, Nikolaos Passalis, Alexandros Iosifidis
, Moncef Gabbouj
, Anastasios Tefas
:
Human Action Recognition Using Recurrent Bag-of-Features Pooling. ICPR Workshops (5) 2020: 63-76 - [c81]Dat Thanh Tran, Juho Kanniainen
, Moncef Gabbouj
, Alexandros Iosifidis
:
Data Normalization for Bilinear Structures in High-Frequency Financial Time-series. ICPR 2020: 7287-7292 - [c80]Lukas Hedegaard Morsing, Omar Ali Sheikh-Omar, Alexandros Iosifidis
:
Supervised Domain Adaptation using Graph Embedding. ICPR 2020: 7841-7847 - [c79]Negar Heidari, Alexandros Iosifidis
:
Temporal Attention-Augmented Graph Convolutional Network for Efficient Skeleton-Based Human Action Recognition. ICPR 2020: 7907-7914 - [c78]Ali Senhaji, Jenni Raitoharju
, Moncef Gabbouj
, Alexandros Iosifidis
:
Not all domains are equally complex: Adaptive Multi-Domain Learning. ICPR 2020: 8663-8670 - [c77]Dat Thanh Tran, Moncef Gabbouj
, Alexandros Iosifidis
:
Performance Indicator in Multilinear Compressive Learning. SSCI 2020: 1822-1828 - [c76]Mostafa Shabani, Alexandros Iosifidis
:
Low-Rank Temporal Attention-Augmented Bilinear Network for financial time-series forecasting. SSCI 2020: 2156-2161 - [i58]Johanna Ärje, Claus Melvad, Mads Rosenhøj Jeppesen, Sigurd Agerskov Madsen, Jenni Raitoharju, Maria Strandgård Rasmussen, Alexandros Iosifidis, Ville Tirronen, Kristian Meissner, Moncef Gabbouj, Toke Thomas Høye:
Automatic image-based identification and biomass estimation of invertebrates. CoRR abs/2002.03807 (2020) - [i57]Kateryna Chumachenko, Jenni Raitoharju, Moncef Gabbouj, Alexandros Iosifidis:
Incremental Fast Subclass Discriminant Analysis. CoRR abs/2002.04348 (2020) - [i56]Dat Thanh Tran, Moncef Gabbouj, Alexandros Iosifidis:
Subset Sampling For Progressive Neural Network Learning. CoRR abs/2002.07141 (2020) - [i55]Dat Thanh Tran, Moncef Gabbouj, Alexandros Iosifidis:
Multilinear Compressive Learning with Prior Knowledge. CoRR abs/2002.07203 (2020) - [i54]Dat Thanh Tran, Juho Kanniainen, Moncef Gabbouj, Alexandros Iosifidis:
Data Normalization for Bilinear Structures in High-Frequency Financial Time-series. CoRR abs/2003.00598 (2020) - [i53]Lukas Hedegaard, Omar Ali Sheikh-Omar, Alexandros Iosifidis:
Supervised Domain Adaptation using Graph Embedding. CoRR abs/2003.04063 (2020) - [i52]Fahad Sohrab, Jenni Raitoharju, Alexandros Iosifidis, Moncef Gabbouj:
Ellipsoidal Subspace Support Vector Data Description. CoRR abs/2003.09504 (2020) - [i51]Ali Senhaji, Jenni Raitoharju, Moncef Gabbouj, Alexandros Iosifidis:
Not all domains are equally complex: Adaptive Multi-Domain Learning. CoRR abs/2003.11504 (2020) - [i50]Negar Heidari, Alexandros Iosifidis:
Progressive Graph Convolutional Networks for Semi-Supervised Node Classification. CoRR abs/2003.12277 (2020) - [i49]Lei Xu, Jenni Raitoharju, Alexandros Iosifidis, Moncef Gabbouj:
Saliency-based Weighted Multi-label Linear Discriminant Analysis. CoRR abs/2004.04221 (2020) - [i48]Lukas Hedegaard
, Omar Ali Sheikh-Omar, Alexandros Iosifidis:
Supervised Domain Adaptation: Were we doing Graph Embedding all along? CoRR abs/2004.11262 (2020) - [i47]Serkan Kiranyaz, Junaid Malik, Habib Ben Abdallah, Turker Ince, Alexandros Iosifidis, Moncef Gabbouj:
Self-Organized Operational Neural Networks with Generative Neurons. CoRR abs/2004.11778 (2020) - [i46]Firas Laakom, Jenni Raitoharju, Alexandros Iosifidis, Uygar Tuna, Jarno Nikkanen, Moncef Gabbouj:
Probabilistic Color Constancy. CoRR abs/2005.02730 (2020) - [i45]Dat Thanh Tran, Nikolaos Passalis, Anastasios Tefas, Moncef Gabbouj, Alexandros Iosifidis:
Attention-based Neural Bag-of-Features Learning for Sequence Data. CoRR abs/2005.12250 (2020) - [i44]Andreas Holm Nielsen, Alexandros Iosifidis, Henrik Karstoft:
CloudCast: A Satellite-Based Dataset and Baseline for Forecasting Clouds. CoRR abs/2007.07978 (2020) - [i43]Firas Laakom, Jenni Raitoharju, Alexandros Iosifidis, Jarno Nikkanen, Moncef Gabbouj:
Monte Carlo Dropout Ensembles for Robust Illumination Estimation. CoRR abs/2007.10114 (2020) - [i42]Firas Laakom, Jenni Raitoharju, Nikolaos Passalis, Alexandros Iosifidis, Moncef Gabbouj:
Graph Embedding with Data Uncertainty. CoRR abs/2009.00505 (2020) - [i41]Serkan Kiranyaz, Junaid Malik, Habib Ben Abdallah, Turker Ince, Alexandros Iosifidis, Moncef Gabbouj:
Exploiting Heterogeneity in Operational Neural Networks by Synaptic Plasticity. CoRR abs/2009.08934 (2020) - [i40]Dat Thanh Tran, Moncef Gabbouj, Alexandros Iosifidis:
Performance Indicator in Multilinear Compressive Learning. CoRR abs/2009.10456 (2020) - [i39]Negar Heidari, Alexandros Iosifidis:
Temporal Attention-Augmented Graph Convolutional Network for Efficient Skeleton-Based Human Action Recognition. CoRR abs/2010.12221 (2020) - [i38]Elizabeth Fons, Paula Dawson, Xiao-Jun Zeng, John A. Keane, Alexandros Iosifidis:
Evaluating data augmentation for financial time series classification. CoRR abs/2010.15111 (2020) - [i37]Negar Heidari, Alexandros Iosifidis:
On the spatial attention in Spatio-Temporal Graph Convolutional Networks for skeleton-based human action recognition. CoRR abs/2011.03833 (2020) - [i36]Negar Heidari, Alexandros Iosifidis:
Progressive Spatio-Temporal Graph Convolutional Network for Skeleton-Based Human Action Recognition. CoRR abs/2011.05668 (2020) - [i35]Mohammad Soltanian, Junaid Malik, Jenni Raitoharju, Alexandros Iosifidis, Serkan Kiranyaz, Moncef Gabbouj:
Speech Command Recognition in Computationally Constrained Environments with a Quadratic Self-organized Operational Layer. CoRR abs/2011.11436 (2020)
2010 – 2019
- 2019
- [j49]Paraskevi Nousi
, Avraam Tsantekidis
, Nikolaos Passalis, Adamantios Ntakaris, Juho Kanniainen
, Anastasios Tefas
, Moncef Gabbouj
, Alexandros Iosifidis
:
Machine Learning for Forecasting Mid-Price Movements Using Limit Order Book Data. IEEE Access 7: 64722-64736 (2019) - [j48]Adamantios Ntakaris
, Giorgio Mirone, Juho Kanniainen
, Moncef Gabbouj
, Alexandros Iosifidis
:
Feature Engineering for Mid-Price Prediction With Deep Learning. IEEE Access 7: 82390-82412 (2019) - [j47]Dat Thanh Tran, Serkan Kiranyaz
, Moncef Gabbouj
, Alexandros Iosifidis
:
PyGOP: A Python library for Generalized Operational Perceptron algorithms. Knowl. Based Syst. 182 (2019) - [j46]Dat Thanh Tran
, Alexandros Iosifidis
, Juho Kanniainen
, Moncef Gabbouj
:
Temporal Attention-Augmented Bilinear Network for Financial Time-Series Data Analysis. IEEE Trans. Neural Networks Learn. Syst. 30(5): 1407-1418 (2019) - [c75]Georgios Panagiotatos, Nikolaos Passalis, Alexandros Iosifidis
, Moncef Gabbouj
, Anastasios Tefas
:
Curriculum-based Teacher Ensemble for Robust Neural Network Distillation. EUSIPCO 2019: 1-5 - [c74]Nikolaos Passalis, Anastasios Tefas
, Juho Kanniainen
, Moncef Gabbouj
, Alexandros Iosifidis
:
Deep Temporal Logistic Bag-of-features for Forecasting High Frequency Limit Order Book Time Series. ICASSP 2019: 7545-7549 - [c73]Dat Thanh Tran, Alexandros Iosifidis
:
Learning to Rank: A Progressive Neural Network Learning Approach. ICASSP 2019: 8355-8359 - [c72]Nikolaos Passalis, Anastasios Tefas
, Alexandros Iosifidis
, Moncef Gabbouj
:
Class-Based Variational Representation Learning For Robust Image Retrieval. ICIP 2019: 854-858 - [c71]Dat Thanh Tran, Serkan Kiranyaz
, Moncef Gabbouj
, Alexandros Iosifidis
:
Knowledge Transfer for Face Verification Using Heterogeneous Generalized Operational Perceptrons. ICIP 2019: 1168-1172 - [c70]Christina Tzogka, Nikolaos Passalis, Alexandros Iosifidis
, Moncef Gabbouj
, Anastasios Tefas
:
Less Is More: Deep Learning Using Subjective Annotations For Sentiment Analysis From Social Media. MLSP 2019: 1-6 - [c69]Firas Laakom
, Jenni Raitoharju
, Alexandros Iosifidis
, Jarno Nikkanen
, Moncef Gabbouj
:
Color Constancy Convolutional Autoencoder. SSCI 2019: 1085-1090 - [d1]Oskar Liset Pryds Hansen
, Jens-Christian Svenning
, Kent Olsen
, Steen Dupont
, Beulhah H. Garner
, Alexandros Iosifidis
, Benjamin W. Price
, Toke Thomas Høye
:
Image data used for publication "Species-level image classification with convolutional neural network enable insect identification from habitus images ". Zenodo, 2019 - [i34]Nikolaos Passalis, Anastasios Tefas, Juho Kanniainen, Moncef Gabbouj, Alexandros Iosifidis:
Temporal Logistic Neural Bag-of-Features for Financial Time series Forecasting leveraging Limit Order Book Data. CoRR abs/1901.08280 (2019) - [i33]Nikolaos Passalis, Anastasios Tefas, Juho Kanniainen, Moncef Gabbouj, Alexandros Iosifidis:
Deep Adaptive Input Normalization for Price Forecasting using Limit Order Book Data. CoRR abs/1902.07892 (2019) - [i32]Serkan Kiranyaz, Turker Ince, Alexandros Iosifidis, Moncef Gabbouj:
Operational Neural Networks. CoRR abs/1902.11106 (2019) - [i31]Dat Thanh Tran, Juho Kanniainen, Moncef Gabbouj, Alexandros Iosifidis:
Data-driven Neural Architecture Learning For Financial Time-series Forecasting. CoRR abs/1903.06751 (2019) - [i30]Junaid Malik, Serkan Kiranyaz, Riyadh Al-Raoush, Olivier Monga, Patricia Garnier, Sebti Foufou, Abdelaziz Bouras, Alexandros Iosifidis, Moncef Gabbouj, Philippe C. Baveye:
3D Quantum Cuts for Automatic Segmentation of Porous Media in Tomography Images. CoRR abs/1904.04412 (2019) - [i29]Adamantios Ntakaris, Giorgio Mirone, Juho Kanniainen, Moncef Gabbouj, Alexandros Iosifidis:
Feature Engineering for Mid-Price Prediction with Deep Learning. CoRR abs/1904.05384 (2019) - [i28]Fahad Sohrab, Jenni Raitoharju, Alexandros Iosifidis, Moncef Gabbouj:
Multimodal Subspace Support Vector Data Description. CoRR abs/1904.07698 (2019) - [i27]Kateryna Chumachenko, Anssi Männistö, Alexandros Iosifidis, Jenni Raitoharju:
Machine Learning Based Analysis of Finnish World War II Photographers. CoRR abs/1904.09811 (2019) - [i26]Kateryna Chumachenko, Jenni Raitoharju, Alexandros Iosifidis, Moncef Gabbouj:
Speed-up and multi-view extensions to Subclass Discriminant Analysis. CoRR abs/1905.00794 (2019) - [i25]Dat Thanh Tran, Mehmet Yamac, Aysen Degerli, Moncef Gabbouj, Alexandros Iosifidis:
Multilinear Compressive Learning. CoRR abs/1905.07481 (2019) - [i24]Firas Laakom, Jenni Raitoharju, Alexandros Iosifidis, Jarno Nikkanen, Moncef Gabbouj:
Color Constancy Convolutional Autoencoder. CoRR abs/1906.01340 (2019) - [i23]Firas Laakom, Nikolaos Passalis, Jenni Raitoharju, Jarno Nikkanen, Anastasios Tefas, Alexandros Iosifidis, Moncef Gabbouj:
Bag of Color Features For Color Constancy. CoRR abs/1906.04445 (2019) - [i22]Adamantios Ntakaris, Juho Kanniainen, Moncef Gabbouj, Alexandros Iosifidis:
Mid-price Prediction Based on Machine Learning Methods with Technical and Quantitative Indicators. CoRR abs/1907.09452 (2019) - [i21]Jenni Raitoharju, Alexandros Iosifidis:
Null Space Analysis for Class-Specific Discriminant Learning. CoRR abs/1908.04562 (2019) - [i20]Firas Laakom, Jenni Raitoharju, Alexandros Iosifidis, Jarno Nikkanen, Moncef Gabbouj:
INTEL-TAU: A Color Constancy Dataset. CoRR abs/1910.10404 (2019) - [i19]William Lund Sommer, Alexandros Iosifidis:
Text-to-image synthesis method evaluation based on visual patterns. CoRR abs/1911.00077 (2019) - 2018
- [j45]Guanqun Cao, Alexandros Iosifidis
, Moncef Gabbouj
:
Neural class-specific regression for face verification. IET Biom. 7(1): 63-70 (2018) - [j44]Vasileios Mygdalis
, Alexandros Iosifidis
, Anastasios Tefas
, Ioannis Pitas:
Semi-supervised subclass support vector data description for image and video classification. Neurocomputing 278: 51-61 (2018) - [j43]Jenni Raitoharju
, Ekaterina Riabchenko, Iftikhar Ahmad, Alexandros Iosifidis
, Moncef Gabbouj
, Serkan Kiranyaz
, Ville Tirronen, Johanna Ärje
, Salme Kärkkäinen, Kristian Meissner
:
Benchmark database for fine-grained image classification of benthic macroinvertebrates. Image Vis. Comput. 78: 73-83 (2018) - [j42]Dat Thanh Tran
, Alexandros Iosifidis
, Moncef Gabbouj
:
Improving efficiency in convolutional neural networks with multilinear filters. Neural Networks 105: 328-339 (2018) - [j41]Çaglar Aytekin, Alexandros Iosifidis
, Moncef Gabbouj
:
Probabilistic saliency estimation. Pattern Recognit. 74: 359-372 (2018) - [j40]Guanqun Cao
, Alexandros Iosifidis
, Ke Chen
, Moncef Gabbouj
:
Generalized Multi-View Embedding for Visual Recognition and Cross-Modal Retrieval. IEEE Trans. Cybern. 48(9): 2542-2555 (2018) - [c68]Dat Thanh Tran, Toke Thomas Høye
, Moncef Gabbouj
, Alexandros Iosifidis
:
Automatic Flower and Visitor Detection System. EUSIPCO 2018: 405-409 - [c67]Anton Muravev
, Dat Thanh Tran, Moncef Gabbouj
, Alexandros Iosifidis
, Serkan Kiranyaz
:
Acceleration Approaches for Big Data Analysis. ICIP 2018: 311-315 - [c66]Lei Xu
, Alexandros Iosifidis
, Moncef Gabbouj
:
Weighted Linear Discriminant Analysis Based on Class Saliency Information. ICIP 2018: 2306-2310 - [c65]Fahad Sohrab
, Jenni Raitoharju
, Moncef Gabbouj
, Alexandros Iosifidis
:
Subspace Support Vector Data Description. ICPR 2018: 722-727 - [c64]Chandan Gautam
, Aruna Tiwari
, Alexandros Iosifidis
:
Minimum Variance-Embedded Multi-layer Kernel Ridge Regression for One-class Classification. SSCI 2018: 389-396 - [i18]Guanqun Cao, Alexandros Iosifidis, Moncef Gabbouj, Vijay Raghavan, Raju Gottumukkala:
Deep Multi-view Learning to Rank. CoRR abs/1801.10402 (2018) - [i17]Fahad Sohrab, Jenni Raitoharju, Moncef Gabbouj, Alexandros Iosifidis:
Subspace Support Vector Data Description. CoRR abs/1802.03989 (2018) - [i16]Lei Xu, Alexandros Iosifidis, Moncef Gabbouj:
Weighted Linear Discriminant Analysis based on Class Saliency Information. CoRR abs/1802.06547 (2018) - [i15]Dat Thanh Tran, Alexandros Iosifidis:
Heterogeneous Multilayer Generalized Operational Perceptron. CoRR abs/1804.05093 (2018) - [i14]Chandan Gautam, Aruna Tiwari, Suresh Sundaram, Alexandros Iosifidis:
Multi-layer Kernel Ridge Regression for One-class Classification. CoRR abs/1805.07808 (2018) - [i13]Dat Thanh Tran, Serkan Kiranyaz, Moncef Gabbouj, Alexandros Iosifidis:
Progressive Operational Perceptron with Memory. CoRR abs/1808.06377 (2018) - [i12]Paraskevi Nousi, Avraam Tsantekidis, Nikolaos Passalis, Adamantios Ntakaris, Juho Kanniainen, Anastasios Tefas, Moncef Gabbouj, Alexandros Iosifidis:
Machine Learning for Forecasting Mid Price Movement using Limit Order Book Data. CoRR abs/1809.07861 (2018) - [i11]Avraam Tsantekidis, Nikolaos Passalis, Anastasios Tefas, Juho Kanniainen, Moncef Gabbouj, Alexandros Iosifidis:
Using Deep Learning for price prediction by exploiting stationary limit order book features. CoRR abs/1810.09965 (2018) - [i10]Alexandros Iosifidis:
Probabilistic Class-Specific Discriminant Analysis. CoRR abs/1812.05980 (2018) - [i9]Alexandros Iosifidis:
Class Mean Vector Component and Discriminant Analysis for Kernel Subspace Learning. CoRR abs/1812.05988 (2018) - 2017
- [j39]Johanna Ärje
, Salme Kärkkäinen, Kristian Meissner
, Alexandros Iosifidis
, Türker Ince
, Moncef Gabbouj
, Serkan Kiranyaz
:
The effect of automated taxa identification errors on biological indices. Expert Syst. Appl. 72: 108-120 (2017) - [j38]Kaveh Samiee
, Alexandros Iosifidis
, Moncef Gabbouj
:
On the comparison of random and Hebbian weights for the training of single-hidden layer feedforward neural networks. Expert Syst. Appl. 83: 177-186 (2017) - [j37]Alexandros Iosifidis
, Anastasios Tefas
, Ioannis Pitas:
Approximate kernel extreme learning machine for large scale data classification. Neurocomputing 219: 210-220 (2017) - [j36]Serkan Kiranyaz
, Turker Ince
, Alexandros Iosifidis
, Moncef Gabbouj
:
Progressive Operational Perceptrons. Neurocomputing 224: 142-154 (2017) - [j35]Muhammad-Adeel Waris, Alexandros Iosifidis
, Moncef Gabbouj
:
CNN-based edge filtering for object proposals. Neurocomputing 266: 631-640 (2017) - [j34]Alexandros Iosifidis
, Vasileios Mygdalis
, Anastasios Tefas
, Ioannis Pitas:
One-Class Classification Based on Extreme Learning and Geometric Class Information. Neural Process. Lett. 45(2): 577-592 (2017) - [j33]Çaglar Aytekin, Alexandros Iosifidis
, Serkan Kiranyaz
, Moncef Gabbouj
:
Learning graph affinities for spectral graph-based salient object detection. Pattern Recognit. 64: 159-167 (2017) - [j32]Dat Thanh Tran
, Moncef Gabbouj
, Alexandros Iosifidis
:
Multilinear class-specific discriminant analysis. Pattern Recognit. Lett. 100: 131-136 (2017) - [j31]Alexandros Iosifidis
, Anastasios Tefas
, Ioannis Pitas, Moncef Gabbouj
:
Big Media Data Analysis. Signal Process. Image Commun. 59: 105-108 (2017) - [j30]Guanqun Cao, Alexandros Iosifidis
, Moncef Gabbouj
:
Multi-View Nonparametric Discriminant Analysis for Image Retrieval and Recognition. IEEE Signal Process. Lett. 24(10): 1537-1541 (2017) - [j29]Alexandros Iosifidis
, Moncef Gabbouj
:
Class-Specific Kernel Discriminant Analysis Revisited: Further Analysis and Extensions. IEEE Trans. Cybern. 47(12): 4485-4496 (2017) - [c63]Nikolaos Passalis, Avraam Tsantekidis, Anastasios Tefas
, Juho Kanniainen, Moncef Gabbouj
, Alexandros Iosifidis
:
Time-series classification using neural Bag-of-Features. EUSIPCO 2017: 301-305 - [c62]Anton Muravev
, Ezgi Can Ozan, Alexandros Iosifidis
, Moncef Gabbouj
:
Pyramid encoding for fast additive quantization. EUSIPCO 2017: 2506-2510 - [c61]Avraam Tsantekidis, Nikolaos Passalis, Anastasios Tefas
, Juho Kanniainen, Moncef Gabbouj
, Alexandros Iosifidis
:
Using deep learning to detect price change indications in financial markets. EUSIPCO 2017: 2511-2515 - [c60]Alexandros Iosifidis
, Moncef Gabbouj
:
Class-specific kernel discriminant analysis based on Cholesky decomposition. IJCNN 2017: 1141-1146 - [c59]Serkan Kiranyaz
, Turker Ince
, Alexandros Iosifidis
, Moncef Gabbouj
:
Generalized model of biological neural networks: Progressive operational perceptrons. IJCNN 2017: 2477-2485 - [c58]Ionut Schiopu
, Moncef Gabbouj
, Alexandros Iosifidis
, Bing Zeng, Shuaicheng Liu
:
Subaperture image segmentation for lossless compression. IPTA 2017: 1-6 - [c57]Dat Thanh Tran, Muhammad-Adeel Waris, Moncef Gabbouj
, Alexandros Iosifidis
:
Sample-based regularization for support vector machine classification. IPTA 2017: 1-6 - [c56]Dat Thanh Tran, Martin Magris, Juho Kanniainen
, Moncef Gabbouj
, Alexandros Iosifidis
:
Tensor representation in high-frequency financial data for price change prediction. SSCI 2017: 1-7 - [c55]Avraam Tsantekidis, Nikolaos Passalis, Anastasios Tefas
, Juho Kanniainen
, Moncef Gabbouj
, Alexandros Iosifidis
:
Forecasting Stock Prices from the Limit Order Book Using Convolutional Neural Networks. CBI (1) 2017: 7-12 - [i8]Adamantios Ntakaris, Martin Magris, Juho Kanniainen, Moncef Gabbouj, Alexandros Iosifidis:
Benchmark Dataset for Mid-Price Prediction of Limit Order Book data. CoRR abs/1705.03233 (2017) - [i7]Guanqun Cao, Alexandros Iosifidis, Moncef Gabbouj:
Neural Class-Specific Regression for face verification. CoRR abs/1708.09642 (2017) - [i6]Dat Thanh Tran, Martin Magris, Juho Kanniainen, Moncef Gabbouj, Alexandros Iosifidis:
Tensor Representation in High-Frequency Financial Data for Price Change Prediction. CoRR abs/1709.01268 (2017) - [i5]Dat Thanh Tran, Alexandros Iosifidis, Moncef Gabbouj:
Improving Efficiency in Convolutional Neural Network with Multilinear Filters. CoRR abs/1709.09902 (2017) - [i4]Dat Thanh Tran, Moncef Gabbouj, Alexandros Iosifidis:
Multilinear Class-Specific Discriminant Analysis. CoRR abs/1710.10695 (2017) - [i3]Dat Thanh Tran, Alexandros Iosifidis, Juho Kanniainen, Moncef Gabbouj:
Temporal Attention augmented Bilinear Network for Financial Time-Series Data Analysis. CoRR abs/1712.00975 (2017) - 2016
- [j28]Ioannis Mademlis
, Alexandros Iosifidis
, Anastasios Tefas
, Nikos Nikolaidis
, Ioannis Pitas:
Exploiting stereoscopic disparity for augmenting human activity recognition performance. Multim. Tools Appl. 75(19): 11641-11660 (2016) - [j27]Alexandros Iosifidis
, Moncef Gabbouj
:
Multi-class Support Vector Machine classifiers using intrinsic and penalty graphs. Pattern Recognit. 55: 231-246 (2016) - [j26]Alexandros Iosifidis
, Moncef Gabbouj
:
Nyström-based approximate kernel subspace learning. Pattern Recognit. 57: 190-197 (2016) - [j25]Vasileios Mygdalis
, Alexandros Iosifidis
, Anastasios Tefas
, Ioannis Pitas:
Graph Embedded One-Class Classifiers for media data classification. Pattern Recognit. 60: 585-595 (2016) - [j24]Alexandros Iosifidis
, Anastasios Tefas
, Ioannis Pitas:
Graph Embedded Extreme Learning Machine. IEEE Trans. Cybern. 46(1): 311-324 (2016) - [j23]Alexandros Iosifidis
, Moncef Gabbouj
:
Scaling Up Class-Specific Kernel Discriminant Analysis for Large-Scale Face Verification. IEEE Trans. Inf. Forensics Secur. 11(11): 2453-2465 (2016) - [j22]Foteini Patrona, Alexandros Iosifidis
, Anastasios Tefas
, Nikolaos Nikolaidis
, Ioannis Pitas:
Visual Voice Activity Detection in the Wild. IEEE Trans. Multim. 18(6): 967-977 (2016) - [c54]Alexandros Iosifidis
, Moncef Gabbouj
:
Graph-regularized multi-class support vector machines for face and action recognition. EUSIPCO 2016: 96-100 - [c53]Alexandros Iosifidis
, Anastasios Tefas
, Ioannis Pitas, Moncef Gabbouj
:
A review of approximate methods for kernel-based big media data analysis. EUSIPCO 2016: 1113-1117 - [c52]Berkay Kicanaoglu, Alexandros Iosifidis
, Moncef Gabbouj
:
Maximum margin binary classifiers using intrinsic and penalty graphs. EUSIPCO 2016: 2270-2274 - [c51]Alexandros Iosifidis
, Moncef Gabbouj
:
Supervised subspace learning based on deep randomized networks. ICASSP 2016: 2584-2588 - [c50]Vasileios Mygdalis
, Alexandros Iosifidis
, Anastasios Tefas
, Ioannis Pitas:
One class classification applied in facial image analysis. ICIP 2016: 1644-1648 - [c49]Alexandros Iosifidis
, Moncef Gabbouj
:
Combining multi-class maximum margin classification with linear discriminant analysis for human action recognition. ICIP 2016: 4180-4184 - [c48]Jenni Raitoharju
, Ekaterina Riabchenko, Kristian Meissner
, Iftikhar Ahmad, Alexandros Iosifidis, Moncef Gabbouj
, Serkan Kiranyaz:
Data Enrichment in Fine-Grained Classification of Aquatic Macroinvertebrates. CVAUI@ICPR 2016: 43-48 - [c47]Muhammad-Adeel Waris, Alexandros Iosifidis
, Moncef Gabbouj
:
Object proposals using CNN-based edge filtering. ICPR 2016: 627-632 - [c46]Ekaterina Riabchenko, Kristian Meissner
, Iftikhar Ahmad, Alexandros Iosifidis
, Ville Tirronen, Moncef Gabbouj
, Serkan Kiranyaz
:
Learned vs. engineered features for fine-grained classification of aquatic macroinvertebrates. ICPR 2016: 2276-2281 - [c45]Çaglar Aytekin, Alexandros Iosifidis
, Serkan Kiranyaz
, Moncef Gabbouj
:
Salient object segmentation based on linearly combined affinity graphs. ICPR 2016: 3769-3774 - [c44]Guanqun Cao
, Muhammad-Adeel Waris, Alexandros Iosifidis
, Moncef Gabbouj
:
Multi-modal subspace learning with dropout regularization for cross-modal recognition and retrieval. IPTA 2016: 1-6 - [c43]Alexandros Iosifidis
, Moncef Gabbouj
:
Prototype-based class-specific nonlinear subspace learning for large-scale face verification. IPTA 2016: 1-6 - [c42]Vasileios Mygdalis
, Alexandros Iosifidis
, Anastasios Tefas
, Ioannis Pitas:
Laplacian one class extreme learning machines for human action recognition. MMSP 2016: 1-5 - [c41]Vasileios Mygdalis
, Alexandros Iosifidis
, Anastasios Tefas
, Ioannis Pitas:
Kernel subclass support vector description for face and human action recognition. SPLINE 2016: 1-5 - [c40]Alexandros Iosifidis
, Moncef Gabbouj
:
Hierarchical class-specific kernel discriminant analysis for face verification. VCIP 2016: 1-4 - [i2]Guanqun Cao, Alexandros Iosifidis, Ke Chen, Moncef Gabbouj:
Generalized Multi-view Embedding for Visual Recognition and Cross-modal Retrieval. CoRR abs/1605.09696 (2016) - [i1]Çaglar Aytekin, Alexandros Iosifidis, Moncef Gabbouj:
Probabilistic Saliency Estimation. CoRR abs/1609.03868 (2016) - 2015
- [j21]Alexandros Iosifidis
, Anastasios Tefas
, Ioannis Pitas:
Human Action Recognition Based on Multi-View Regularized Extreme Learning Machine. Int. J. Artif. Intell. Tools 24(5): 1540020:1-1540020:22 (2015) - [j20]Alexandros Iosifidis
, Anastasios Tefas
, Ioannis Pitas:
Distance-based human action recognition using optimized class representations. Neurocomputing 161: 47-55 (2015) - [j19]Alexandros Iosifidis
, Anastasios Tefas
, Ioannis Pitas:
DropELM: Fast neural network regularization with Dropout and DropConnect. Neurocomputing 162: 57-66 (2015) - [j18]Alexandros Iosifidis
:
Extreme learning machine based supervised subspace learning. Neurocomputing 167: 158-164 (2015) - [j17]Alexandros Iosifidis, Ermioni Marami, Anastasios Tefas, Ioannis Pitas:
The MOBISERV-AIIA Eating and Drinking multi-view database for vision-based assisted living. J. Inf. Hiding Multim. Signal Process. 6(2): 254-273 (2015) - [j16]Alexandros Iosifidis
, Anastasios Tefas
, Ioannis Pitas:
On the kernel Extreme Learning Machine classifier. Pattern Recognit. Lett. 54: 11-17 (2015) - [j15]Alexandros Iosifidis
, Anastasios Tefas
, Ioannis Pitas:
Sparse extreme learning machine classifier exploiting intrinsic graphs. Pattern Recognit. Lett. 65: 192-196 (2015) - [j14]Alexandros Iosifidis
, Moncef Gabbouj
:
On the kernel Extreme Learning Machine speedup. Pattern Recognit. Lett. 68: 205-210 (2015) - [j13]Alexandros Iosifidis
, Anastasios Tefas
, Ioannis Pitas:
Class-Specific Reference Discriminant Analysis With Application in Human Behavior Analysis. IEEE Trans. Hum. Mach. Syst. 45(3): 315-326 (2015) - [c39]Alexandros Iosifidis
, Moncef Gabbouj
:
A Bayesian approach for extreme learning machine-based subspace learning. EUSIPCO 2015: 2356-2360 - [c38]Alexandros Iosifidis
, Anastasios Tefas
, Ioannis Pitas:
Class-specific nonlinear subspace learning based on optimized class representation. EUSIPCO 2015: 2491-2495 - [c37]Alexandros Iosifidis
, Anastasios Tefas
, Ioannis Pitas:
Enhancing class discrimination in Kernel Discriminant Analysis. ICASSP 2015: 1926-1930 - [c36]Vasileios Mygdalis
, Alexandros Iosifidis
, Anastasios Tefas
, Ioannis Pitas:
Exploiting subclass information in one-class support vector machine for video summarization. ICASSP 2015: 2259-2263 - [c35]Nikolaos Tsapanos, Anastasios Tefas
, Nikolaos Nikolaidis
, Alexandros Iosifidis
, Ioannis Pitas:
Fast Kernel Matrix Computation for Big Data Clustering. ICCS 2015: 2445-2452 - [c34]Alexandros Iosifidis
, Anastasios Tefas
, Ioannis Pitas:
Enhancing ELM-based Facial Image Classification by Exploiting Multiple Facial Views. ICCS 2015: 2814-2821 - [c33]Alexandros Iosifidis
, Anastasios Tefas
, Ioannis Pitas:
Merging linear discriminant analysis with Bag of Words model for human action recognition. ICIP 2015: 832-836 - [c32]Foteini Patrona, Alexandros Iosifidis
, Anastasios Tefas
, Nikolaos Nikolaidis
, Ioannis Pitas:
Visual voice activity detection based on spatiotemporal information and bag of words. ICIP 2015: 2334-2338 - [c31]Alexandros Iosifidis
, Anastasios Tefas
, Ioannis Pitas:
Large-scale nonlinear facial image classification based on approximate kernel Extreme Learning Machine. ICIP 2015: 2449-2453 - [c30]Alexandros Iosifidis
, Anastasios Tefas
, Ioannis Pitas:
Regularized Extreme Learning Machine for Large-scale Media Content Analysis. INNS Conference on Big Data 2015: 420-427 - [c29]Vasileios Mygdalis
, Alexandros Iosifidis, Anastasios Tefas
, Ioannis Pitas:
Large-Scale Classification by an Approximate Least Squares One-Class Support Vector Machine Ensemble. TrustCom/BigDataSE/ISPA (2) 2015: 6-10 - [c28]Alexandros Iosifidis
, Anastasios Tefas
, Ioannis Pitas:
Nearest Class Vector Classification for Large-Scale Learning Problems. TrustCom/BigDataSE/ISPA (2) 2015: 11-16 - [c27]Alexandros Iosifidis
, Moncef Gabbouj
, Petri Pekki:
Class-Specific Nonlinear Projections Using Class-Specific Kernel Spaces. TrustCom/BigDataSE/ISPA (2) 2015: 17-24 - 2014
- [j12]Alexandros Iosifidis
, Anastasios Tefas
, Ioannis Pitas:
Regularized extreme learning machine for multi-view semi-supervised action recognition. Neurocomputing 145: 250-262 (2014) - [j11]Alexandros Iosifidis
, Anastasios Tefas
, Ioannis Pitas:
Kernel Reference Discriminant Analysis. Pattern Recognit. Lett. 49: 85-91 (2014) - [j10]Alexandros Iosifidis
, Anastasios Tefas
, Ioannis Pitas:
Discriminant Bag of Words based representation for human action recognition. Pattern Recognit. Lett. 49: 185-192 (2014) - [c26]Vasileios Mygdalis
, Alexandros Iosifidis
, Anastasios Tefas
, Ioannis Pitas:
Video summarization based on Subclass Support Vector Data Description. CIES 2014: 183-187 - [c25]Ioannis Mademlis
, Alexandros Iosifidis
, Anastasios Tefas
, Nikos Nikolaidis
, Ioannis Pitas:
Stereoscopic video description for human action recognition. CIMSIVP 2014: 1-6 - [c24]Alexandros Iosifidis
, Anastasios Tefas
, Ioannis Pitas:
Computational Intelligence Approaches for Digital Media Analysis and Description. ECC (2) 2014: 263-272 - [c23]Alexandros Iosifidis, Anastasios Tefas, Nikos Nikolaidis, Ioannis Pitas:
Human action recognition in stereoscopic videos based on bag of features and disparity pyramids. EUSIPCO 2014: 1317-1321 - [c22]Alexandros Iosifidis
, Anastasios Tefas
, Ioannis Pitas:
Minimum Variance Extreme Learning Machine for human action recognition. ICASSP 2014: 5427-5431 - [c21]Alexandros Iosifidis
, Anastasios Tefas
, Ioannis Pitas:
Human action recognition based on bag of features and multi-view neural networks. ICIP 2014: 1510-1514 - [c20]Alexandros Iosifidis
, Anastasios Tefas
, Ioannis Pitas:
Semi-supervised Classification of Human Actions Based on Neural Networks. ICPR 2014: 1336-1341 - [c19]Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas:
Exploiting Local Class Information in Extreme Learning Machine. IJCCI (NCTA) 2014: 49-55 - [c18]Alexandros Iosifidis
, Anastasios Tefas
, Ioannis Pitas:
Single-Hidden Layer Feedforward Neual Network Training Using Class Geometric Information. IJCCI (Selected Papers) 2014: 351-364 - [c17]Marina Ivasic-Kos
, Alexandros Iosifidis
, Anastasios Tefas
, Ioannis Pitas:
Person de-identification in activity videos. MIPRO 2014: 1294-1299 - [c16]Alexandros Iosifidis
, Anastasios Tefas
, Ioannis Pitas:
Multi-view Regularized Extreme Learning Machine for Human Action Recognition. SETN 2014: 84-94 - 2013
- [b1]Alexandros Iosifidis:
Τεχνικές μηχανικής όρασης και αναγνώρισης προτύπων για την αλληλεπίδραση ανθρώπου-υπολογιστή. Aristotle University Of Thessaloniki, Greece, 2013 - [j9]Alexandros Iosifidis
, Anastasios Tefas
, Ioannis Pitas:
Learning sparse representations for view-independent human action recognition based on fuzzy distances. Neurocomputing 121: 344-353 (2013) - [j8]Alexandros Iosifidis
, Anastasios Tefas
, Ioannis Pitas:
Dynamic action recognition based on dynemes and Extreme Learning Machine. Pattern Recognit. Lett. 34(15): 1890-1898 (2013) - [j7]Alexandros Iosifidis
, Anastasios Tefas
, Ioannis Pitas:
Multi-view action recognition based on action volumes, fuzzy distances and cluster discriminant analysis. Signal Process. 93(6): 1445-1457 (2013) - [j6]Alexandros Iosifidis
, Anastasios Tefas
, Ioannis Pitas:
Minimum Class Variance Extreme Learning Machine for Human Action Recognition. IEEE Trans. Circuits Syst. Video Technol. 23(11): 1968-1979 (2013) - [j5]Alexandros Iosifidis
, Anastasios Tefas
, Ioannis Pitas:
Multidimensional Sequence Classification Based on Fuzzy Distances and Discriminant Analysis. IEEE Trans. Knowl. Data Eng. 25(11): 2564-2575 (2013) - [j4]Alexandros Iosifidis
, Anastasios Tefas
, Ioannis Pitas:
On the Optimal Class Representation in Linear Discriminant Analysis. IEEE Trans. Neural Networks Learn. Syst. 24(9): 1491-1497 (2013) - [c15]Alexandros Iosifidis
, Anastasios Tefas
, Ioannis Pitas:
Person identification from actions based on Artificial Neural Networks. CIBIM 2013: 7-13 - [c14]Anastasios Tefas
, Alexandros Iosifidis
, Ioannis Pitas:
Neural Networks for Digital Media Analysis and Description. EANN (1) 2013: 1-11 - [c13]Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas:
Dynamic action classification based on iterative data selection and Feedforward Neural networks. EUSIPCO 2013: 1-5 - [c12]Alexandros Iosifidis
, Anastasios Tefas
, Ioannis Pitas:
Active classification for human action recognition. ICIP 2013: 3249-3253 - [c11]Alexandros Iosifidis
, Anastasios Tefas
, Ioannis Pitas:
Multi-view Human Action Recognition: A Survey. IIH-MSP 2013: 522-525 - [c10]Alexandros Iosifidis
, Anastasios Tefas
, Ioannis Pitas:
Representative Class Vector Clustering-Based Discriminant Analysis. IIH-MSP 2013: 526-529 - [c9]Alexandros Iosifidis
, Anastasios Tefas
, Ioannis Pitas:
View-independent human action recognition based on multi-view action images and discriminant learning. IVMSP 2013: 1-4 - [c8]Alexandros Iosifidis
, Anastasios Tefas
, Ioannis Pitas:
Person identification from actions based on dynemes and discriminant learning. IWBF 2013: 1-4 - 2012
- [j3]Alexandros Iosifidis
, Anastasios Tefas
, Nikolaos Nikolaidis
, Ioannis Pitas:
Multi-view human movement recognition based on fuzzy distances and linear discriminant analysis. Comput. Vis. Image Underst. 116(3): 347-360 (2012) - [j2]Alexandros Iosifidis
, Anastasios Tefas
, Ioannis Pitas:
Activity-Based Person Identification Using Fuzzy Representation and Discriminant Learning. IEEE Trans. Inf. Forensics Secur. 7(2): 530-542 (2012) - [j1]Alexandros Iosifidis
, Anastasios Tefas
, Ioannis Pitas:
View-Invariant Action Recognition Based on Artificial Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 23(3): 412-424 (2012) - [c7]Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas:
Multi-view human action recognition under occlusion based on Fuzzy distances and neural networks. EUSIPCO 2012: 1129-1133 - [c6]Alexandros Iosifidis
, Ermioni Marami, Anastasios Tefas
, Ioannis Pitas:
Eating and drinking activity recognition based on discriminant analysis of fuzzy distances and activity volumes. ICASSP 2012: 2201-2204 - [c5]Alexandros Iosifidis
, Anastasios Tefas
, Ioannis Pitas:
Discriminant action representation for view-invariant person identification. ICIP 2012: 1177-1180 - [c4]Alexandros Iosifidis
, Anastasios Tefas
, Ioannis Pitas:
Neural representation and learning for multi-view human action recognition. IJCNN 2012: 1-6 - 2011
- [c3]Alexandros Iosifidis
, Anastasios Tefas
, Nikolaos Nikolaidis
, Ioannis Pitas:
Learning Human Identity Using View-Invariant Multi-view Movement Representation. BIOID 2011: 217-226 - [c2]Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas:
Person specific activity recognition using fuzzy learning and Discriminant Analysis. EUSIPCO 2011: 1974-1978 - 2010
- [c1]Alexandros Iosifidis
, Nikos Nikolaidis
, Ioannis Pitas:
Movement recognition exploiting multi-view information. MMSP 2010: 427-431
Coauthor Index
aka: Lukas Hedegaard Morsing
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