Alexandros Iosifidis

407 papers A* 2A 5B 41C 8Misc 16Journal 262Unranked 72

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Continual low-rank scaled dot-product attention. Neural Networks Ginés Carreto Picón, Illia Oleksiienko, Lukas Hedegaard, Arian Bakhtiarnia, Alexandros Iosifidis
2026	J	`jnl`	Corrigendum to "Augmented bilinear network for incremental multi-stock time-series classification" [Pattern Recognit. 141 (2023) 109604]. Pattern Recognit. Mostafa Shabani, Dat Thanh Tran, Juho Kanniainen, Alexandros Iosifidis
2026	J	`jnl`	Quasi black-box variational inference for Bayesian learning. Pattern Recognit. Martin Magris, Mostafa Shabani, Alexandros Iosifidis
2025	—	`conf`	Deep Reinforcement Learning-Based Video-Haptic Radio Resource Slicing in Tactile Internet. ICC Georgios Kokkinis, Alexandros Iosifidis, Qi Zhang
2025	J	`jnl`	DeepCoT: Deep Continual Transformers for Real-Time Inference on Data Streams. CoRR Ginés Carreto Picón, Peng Yuan Zhou, Qi Zhang, Alexandros Iosifidis
2025	B	`conf`	Delay Bound Relaxation with Deep Learning-based Haptic Estimation for Tactile Internet. GLOBECOM Georgios Kokkinis, Alexandros Iosifidis, Qi Zhang
2025	J	`jnl`	Dual guidance: ROM-informed field reconstruction with generative models. CoRR Sajad Salavatidezfouli, Henrik Karstoft, Alexandros Iosifidis, Mahdi Abkar
2025	J	`jnl`	Dynamic Semantic Compression for CNN Inference in Multi-Access Edge Computing: A Graph Reinforcement Learning-Based Autoencoder. IEEE Trans. Wirel. Commun. Nan Li, Alexandros Iosifidis, Qi Zhang
2025	J	`jnl`	Geometric Deep Learning for Computer-Aided Design: A Survey. IEEE Access Negar Heidari, Alexandros Iosifidis
2025	J	`jnl`	Impact of Labeling Inaccuracy and Image Noise on Tooth Segmentation in Panoramic Radiographs using Federated, Centralized and Local Learning. CoRR Johan Andreas Balle Rubak, Khuram Naveed, Sanyam Jain, Lukas Esterle, Alexandros Iosifidis, Ruben Pauwels
2025	J	`jnl`	InJecteD: Analyzing Trajectories and Drift Dynamics in Denoising Diffusion Probabilistic Models for 2D Point Cloud Generation. CoRR Sanyam Jain, Khuram Naveed, Illia Oleksiienko, Alexandros Iosifidis, Ruben Pauwels
2025	J	`jnl`	LOBERT: Generative AI Foundation Model for Limit Order Book Messages. CoRR Eljas Linna, Kestutis Baltakys, Alexandros Iosifidis, Juho Kanniainen
2025	J	`jnl`	Learning hidden cascades via classification. CoRR Derrick Gilchrist Edward Manoharan, Anubha Goel, Alexandros Iosifidis, Henri Hansen, Juho Kanniainen
2025	J	`jnl`	PRISM: Distributed Inference for Foundation Models at Edge. CoRR Muhammad Azlan Qazi, Alexandros Iosifidis, Qi Zhang
2025	J	`jnl`	PanoDiff-SR: Synthesizing Dental Panoramic Radiographs using Diffusion and Super-resolution. CoRR Sanyam Jain, Bruna Neves de Freitas, Andreas Basse-OConnor, Alexandros Iosifidis, Ruben Pauwels
2025	—	`conf`	Unlocking AIoT Efficiency in the Computing Continuum - the PANDORA framework. IOT Georgios Bouloukakis, Ajay Kattepur, Dusan Jakovetic, Alexandros Iosifidis, Konstantinos Tserpes, Maria Pateraki
2025	J	`jnl`	Variational Graph Convolutional Neural Networks. CoRR Illia Oleksiienko, Juho Kanniainen, Alexandros Iosifidis
2024	Misc	`conf`	Accurate Gigapixel Crowd Counting by Iterative Zooming and Refinement. ICASSP Arian Bakhtiarnia, Qi Zhang, Alexandros Iosifidis
2024	J	`jnl`	Are LLM-based methods good enough for detecting unfair terms of service? CoRR Mirgita Frasheri, Arian Bakhtiarnia, Lukas Esterle, Alexandros Iosifidis
2024	J	`jnl`	Continual Low-Rank Scaled Dot-product Attention. CoRR Ginés Carreto Picón, Illia Oleksiienko, Lukas Hedegaard, Arian Bakhtiarnia, Alexandros Iosifidis
2024	J	`jnl`	Dynamic Semantic Compression for CNN Inference in Multi-access Edge Computing: A Graph Reinforcement Learning-based Autoencoder. CoRR Nan Li, Alexandros Iosifidis, Qi Zhang
2024	J	`jnl`	Efficient High-Resolution Deep Learning: A Survey. ACM Comput. Surv. Arian Bakhtiarnia, Qi Zhang, Alexandros Iosifidis
2024	J	`jnl`	Geometric Deep Learning for Computer-Aided Design: A Survey. CoRR Negar Heidari, Alexandros Iosifidis
2024	—	`conf`	Learning Diversified Feature Representations for Facial Expression Recognition in the Wild. MLSP Negar Heidari, Alexandros Iosifidis
2024	B	`conf`	MAVAD: Audio-Visual Dataset and Method for Anomaly Detection in Traffic Videos. ICIP Blazej Leporowski, Arian Bakhtiarnia, Nicole Bonnici, Adrian Muscat, Luca Zanella, Yiming Wang, Alexandros Iosifidis
2024	—	`conf`	MMA-DFER: MultiModal Adaptation of unimodal models for Dynamic Facial Expression Recognition in-the-wild. CVPR Workshops Kateryna Chumachenko, Alexandros Iosifidis, Moncef Gabbouj
2024	J	`jnl`	MMA-DFER: MultiModal Adaptation of unimodal models for Dynamic Facial Expression Recognition in-the-wild. CoRR Kateryna Chumachenko, Alexandros Iosifidis, Moncef Gabbouj
2024	J	`jnl`	Manifold Gaussian Variational Bayes on the Precision Matrix. Neural Comput. Martin Magris, Mostafa Shabani, Alexandros Iosifidis
2024	J	`jnl`	Reducing redundancy in the bottleneck representation of autoencoders. Pattern Recognit. Lett. Firas Laakom, Jenni Raitoharju, Alexandros Iosifidis, Moncef Gabbouj
2024	J	`jnl`	Structured pruning adapters. Pattern Recognit. Lukas Hedegaard, Aman Alok, Juby Jose, Alexandros Iosifidis
2024	B	`conf`	Superpixel-based Anomaly Detection for Irregular Textures with a Focus on Pixel-level Accuracy. IJCNN Mehdi Rafiei, Toby P. Breckon, Alexandros Iosifidis
2024	B	`conf`	Uimt: A Framework for Improving Unimodal Inference via Multimodal Training. ICIP Kateryna Chumachenko, Alexandros Iosifidis, Moncef Gabbouj
2024	B	`conf`	Uncertainty-Aware AB3DMOT by Variational 3D Object Detection. ICIP Illia Oleksiienko, Alexandros Iosifidis
2024	J	`jnl`	Vpit: real-time embedded single object 3D tracking using voxel pseudo images. Neural Comput. Appl. Illia Oleksiienko, Paraskevi Nousi, Nikolaos Passalis, Anastasios Tefas, Alexandros Iosifidis
2024	J	`jnl`	iHyperTime: Interpretable Time Series Generation with Implicit Neural Representations. Trans. Mach. Learn. Res. Elizabeth Fons, Alejandro Sztrajman, Yousef El-Laham, Andrea Coletta, Alexandros Iosifidis, Svitlana Vyetrenko
2023	J	`jnl`	Accurate Gigapixel Crowd Counting by Iterative Zooming and Refinement. CoRR Arian Bakhtiarnia, Qi Zhang, Alexandros Iosifidis
2023	J	`jnl`	Adaptive Parameterization of Deep Learning Models for Federated Learning. CoRR Morten From Elvebakken, Alexandros Iosifidis, Lukas Esterle
2023	—	`conf`	Attention-Based Feature Compression for CNN Inference Offloading in Edge Computing. ICC Nan Li, Alexandros Iosifidis, Qi Zhang
2023	J	`jnl`	Audio-Visual Dataset and Method for Anomaly Detection in Traffic Videos. CoRR Blazej Leporowski, Arian Bakhtiarnia, Nicole Bonnici, Adrian Muscat, Luca Zanella, Yiming Wang, Alexandros Iosifidis
2023	J	`jnl`	Augmented bilinear network for incremental multi-stock time-series classification. Pattern Recognit. Mostafa Shabani, Dat Thanh Tran, Juho Kanniainen, Alexandros Iosifidis
2023	J	`jnl`	Bayesian learning for neural networks: an algorithmic survey. Artif. Intell. Rev. Martin Magris, Alexandros Iosifidis
2023	B	`conf`	Class-Specific Variational Auto-Encoder for Content-Based Image Retrieval. IJCNN Mehdi Rafiei, Alexandros Iosifidis
2023	J	`jnl`	Class-Specific Variational Auto-Encoder for Content-Based Image Retrieval. CoRR Mehdi Rafiei, Alexandros Iosifidis
2023	J	`jnl`	Computer Vision on X-Ray Data in Industrial Production and Security Applications: A Comprehensive Survey. IEEE Access Mehdi Rafiei, Jenni Raitoharju, Alexandros Iosifidis
2023	J	`jnl`	Constructing Neural Network Based Models for Simulating Dynamical Systems. ACM Comput. Surv. Christian Møldrup Legaard, Thomas Schranz, Gerald Schweiger, Ján Drgona, Basak Falay, Cláudio Gomes, Alexandros Iosifidis, Mahdi Abkar, Peter Gorm Larsen
2023	A*	`conf`	Continual Transformers: Redundancy-Free Attention for Online Inference. ICLR Lukas Hedegaard, Arian Bakhtiarnia, Alexandros Iosifidis
2023	J	`jnl`	Continual spatio-temporal graph convolutional networks. Pattern Recognit. Lukas Hedegaard, Negar Heidari, Alexandros Iosifidis
2023	J	`jnl`	Convolutional autoencoder-based multimodal one-class classification. CoRR Firas Laakom, Fahad Sohrab, Jenni Raitoharju, Alexandros Iosifidis, Moncef Gabbouj
2023	—	`conf`	Crowd Counting on Heavily Compressed Images with Curriculum Pre-Training. SSCI Arian Bakhtiarnia, Qi Zhang, Alexandros Iosifidis
2023	—	`conf`	Cryptocurrency Portfolio Optimization by Neural Networks. SSCI Quoc Minh Nguyen, Dat Thanh Tran, Juho Kanniainen, Alexandros Iosifidis, Moncef Gabbouj
2023	J	`jnl`	Cryptocurrency Portfolio Optimization by Neural Networks. CoRR Quoc Minh Nguyen, Dat Thanh Tran, Juho Kanniainen, Alexandros Iosifidis, Moncef Gabbouj
2023	J	`jnl`	Curiosity-Driven Reinforcement Learning based Low-Level Flight Control. CoRR Amir Ramezani Dooraki, Alexandros Iosifidis
2023	Misc	`conf`	Dynamic Split Computing for Efficient Deep EDGE Intelligence. ICASSP Arian Bakhtiarnia, Nemanja Milosevic, Qi Zhang, Dragana Bajovic, Alexandros Iosifidis
2023	J	`jnl`	Fighting Money Laundering With Statistics and Machine Learning. IEEE Access Rasmus Ingemann Tuffveson Jensen, Alexandros Iosifidis
2023	J	`jnl`	Graph-embedded subspace support vector data description. Pattern Recognit. Fahad Sohrab, Alexandros Iosifidis, Moncef Gabbouj, Jenni Raitoharju
2023	C	`conf`	Improving Online non-destructive Moisture Content Estimation using Data Augmentation by Feature Space Interpolation with Variational Autoencoders. INDIN Christian Remi Wewer, Alexandros Iosifidis
2023	J	`jnl`	Improving Unimodal Inference with Multimodal Transformers. CoRR Kateryna Chumachenko, Alexandros Iosifidis, Moncef Gabbouj
2023	—	`conf`	Layer Ensembles. MLSP Illia Oleksiienko, Alexandros Iosifidis
2023	—	`conf`	Learning Distinct Features Helps, Provably. ECML/PKDD (2) Firas Laakom, Jenni Raitoharju, Alexandros Iosifidis, Moncef Gabbouj
2023	J	`jnl`	Multi-Class Anomaly Detection based on Regularized Discriminative Coupled hypersphere-based Feature Adaptation. CoRR Mehdi Rafiei, Alexandros Iosifidis
2023	J	`jnl`	On Feature Diversity in Energy-based Models. CoRR Firas Laakom, Jenni Raitoharju, Alexandros Iosifidis, Moncef Gabbouj
2023	J	`jnl`	On Pixel-level Performance Assessment in Anomaly Detection. CoRR Mehdi Rafiei, Toby P. Breckon, Alexandros Iosifidis
2023	J	`jnl`	Online Non-Destructive Moisture Content Estimation of Filter Media During Drying Using Artificial Neural Networks. CoRR Christian Remi Wewer, Alexandros Iosifidis
2023	J	`jnl`	Predicting the state of synchronization of financial time series using cross recurrence plots. Neural Comput. Appl. Mostafa Shabani, Martin Magris, George Tzagkarakis, Juho Kanniainen, Alexandros Iosifidis
2023	J	`jnl`	Predicting the trading behavior of socially connected investors: Graph neural network approach with implications to market surveillance. Expert Syst. Appl. Kestutis Baltakys, Margarita Baltakiene, Negar Heidari, Alexandros Iosifidis, Juho Kanniainen
2023	B	`conf`	PromptMix: Text-to-image diffusion models enhance the performance of lightweight networks. IJCNN Arian Bakhtiarnia, Qi Zhang, Alexandros Iosifidis
2023	J	`jnl`	PromptMix: Text-to-image diffusion models enhance the performance of lightweight networks. CoRR Arian Bakhtiarnia, Qi Zhang, Alexandros Iosifidis
2023	J	`jnl`	Qualifying and raising anti-money laundering alarms with deep learning. Expert Syst. Appl. Rasmus Jensen, Alexandros Iosifidis
2023	C	`conf`	Recognition of Defective Mineral Wool Using Pruned ResNet Models. INDIN Mehdi Rafiei, Dat Thanh Tran, Alexandros Iosifidis
2023	—	`conf`	Semantic Communication Enabling Robust Edge Intelligence for Time-Critical IoT Applications. ICC Workshops Andrea Cavagna, Nan Li, Alexandros Iosifidis, Qi Zhang
2023	—	`conf`	Spatiotemporal Attention-based Semantic Compression for Real-time Video Recognition. GLOBECOM (Workshops) Nan Li, Mehdi Bennis, Alexandros Iosifidis, Qi Zhang
2023	J	`jnl`	Spatiotemporal Attention-based Semantic Compression for Real-time Video Recognition. CoRR Nan Li, Mehdi Bennis, Alexandros Iosifidis, Qi Zhang
2023	J	`jnl`	Uncertainty-Aware AB3DMOT by Variational 3D Object Detection. CoRR Illia Oleksiienko, Alexandros Iosifidis
2023	—	`conf`	Variational Inference for GARCH-family Models. ICAIF Martin Magris, Alexandros Iosifidis
2023	J	`jnl`	Variational Inference for GARCH-family Models. CoRR Martin Magris, Alexandros Iosifidis
2023	—	`conf`	Variational Neural Networks. INNS DLIA@IJCNN Illia Oleksiienko, Dat Thanh Tran, Alexandros Iosifidis
2023	—	`conf`	Variational Voxel Pseudo Image Tracking. SSCI Illia Oleksiienko, Paraskevi Nousi, Nikolaos Passalis, Anastasios Tefas, Alexandros Iosifidis
2023	J	`jnl`	Variational Voxel Pseudo Image Tracking. CoRR Illia Oleksiienko, Paraskevi Nousi, Nikolaos Passalis, Anastasios Tefas, Alexandros Iosifidis
2023	A*	`conf`	WLD-Reg: A Data-Dependent Within-Layer Diversity Regularizer. AAAI Firas Laakom, Jenni Raitoharju, Alexandros Iosifidis, Moncef Gabbouj
2023	J	`jnl`	WLD-Reg: A Data-dependent Within-layer Diversity Regularizer. CoRR Firas Laakom, Jenni Raitoharju, Alexandros Iosifidis, Moncef Gabbouj
2022	J	`jnl`	3D Quantum Cuts for automatic segmentation of porous media in tomography images. Comput. Geosci. Junaid Malik, Serkan Kiranyaz, Riyadh Al-Raoush, Olivier Monga, Patricia Garnier, Sebti Foufou, Abdelaziz Bouras, Alexandros Iosifidis, Moncef Gabbouj, Philippe C. Baveye
2022	—	`conf`	Analysis of the Effect of Low-Overhead Lossy Image Compression on the Performance of Visual Crowd Counting for Smart City Applications. ISC2 Arian Bakhtiarnia, Blazej Leporowski, Lukas Esterle, Alexandros Iosifidis
2022	J	`jnl`	Analysis of the Effect of Low-Overhead Lossy Image Compression on the Performance of Visual Crowd Counting for Smart City Applications. CoRR Arian Bakhtiarnia, Blazej Leporowski, Lukas Esterle, Alexandros Iosifidis
2022	J	`jnl`	Attention-Based Neural Bag-of-Features Learning for Sequence Data. IEEE Access Dat Thanh Tran, Nikolaos Passalis, Anastasios Tefas, Moncef Gabbouj, Alexandros Iosifidis
2022	J	`jnl`	Attention-based Feature Compression for CNN Inference Offloading in Edge Computing. CoRR Nan Li, Alexandros Iosifidis, Qi Zhang
2022	J	`jnl`	Augmented Bilinear Network for Incremental Multi-Stock Time-Series Classification. CoRR Mostafa Shabani, Dat Thanh Tran, Juho Kanniainen, Alexandros Iosifidis
2022	J	`jnl`	Automatic Image Content Extraction: Operationalizing Machine Learning in Humanistic Photographic Studies of Large Visual Archives. CoRR Anssi Männistö, Mert Seker, Alexandros Iosifidis, Jenni Raitoharju
2022	J	`jnl`	Bayesian Learning for Neural Networks: an algorithmic survey. CoRR Martin Magris, Alexandros Iosifidis
2022	J	`jnl`	Collaborative edge computing for distributed CNN inference acceleration using receptive field-based segmentation. Comput. Networks Nan Li, Alexandros Iosifidis, Qi Zhang
2022	J	`jnl`	Computer Vision on X-ray Data in Industrial Production and Security Applications: A survey. CoRR Mehdi Rafiei, Jenni Raitoharju, Alexandros Iosifidis
2022	—	`conf`	Continual 3D Convolutional Neural Networks for Real-time Processing of Videos. ECCV (4) Lukas Hedegaard, Alexandros Iosifidis
2022	—	`conf`	Continual Inference: A Library for Efficient Online Inference with Deep Neural Networks in PyTorch. ECCV Workshops (7) Lukas Hedegaard, Alexandros Iosifidis
2022	J	`jnl`	Continual Inference: A Library for Efficient Online Inference with Deep Neural Networks in PyTorch. CoRR Lukas Hedegaard, Alexandros Iosifidis
2022	J	`jnl`	Continual Transformers: Redundancy-Free Attention for Online Inference. CoRR Lukas Hedegaard, Arian Bakhtiarnia, Alexandros Iosifidis
2022	J	`jnl`	Crowd Counting on Heavily Compressed Images with Curriculum Pre-Training. CoRR Arian Bakhtiarnia, Qi Zhang, Alexandros Iosifidis
2022	J	`jnl`	Design and Prototyping Distributed CNN Inference Acceleration in Edge Computing. CoRR Zhongtian Dong, Nan Li, Alexandros Iosifidis, Qi Zhang
2022	—	`conf`	Distributed Deep Learning Inference Acceleration using Seamless Collaboration in Edge Computing. ICC Nan Li, Alexandros Iosifidis, Qi Zhang
2022	J	`jnl`	Distributed Deep Learning Inference Acceleration using Seamless Collaboration in Edge Computing. CoRR Nan Li, Alexandros Iosifidis, Qi Zhang
2022	J	`jnl`	Dynamic Split Computing for Efficient Deep Edge Intelligence. CoRR Arian Bakhtiarnia, Nemanja Milosevic, Qi Zhang, Dragana Bajovic, Alexandros Iosifidis
2022	J	`jnl`	Editorial to special issue on cross-media learning for visual question answering. Image Vis. Comput. Shaohua Wan, Chen Chen, Alexandros Iosifidis
2022	—	`conf`	Efficient CNN with uncorrelated Bag of Features pooling. SSCI Firas Laakom, Jenni Raitoharju, Alexandros Iosifidis, Moncef Gabbouj
2022	J	`jnl`	Efficient CNN with uncorrelated Bag of Features pooling. CoRR Firas Laakom, Jenni Raitoharju, Alexandros Iosifidis, Moncef Gabbouj
2022	J	`jnl`	Efficient High-Resolution Deep Learning: A Survey. CoRR Arian Bakhtiarnia, Qi Zhang, Alexandros Iosifidis
2022	J	`jnl`	EmpathicSchool: A multimodal dataset for real-time facial expressions and physiological data analysis under different stress conditions. CoRR Majid Hosseini, Fahad Sohrab, Raju Gottumukkala, Ravi Teja Bhupatiraju, Satya Katragadda, Jenni Raitoharju, Alexandros Iosifidis, Moncef Gabbouj
2022	J	`jnl`	Exact Manifold Gaussian Variational Bayes. CoRR Martin Magris, Mostafa Shabani, Alexandros Iosifidis
2022	J	`jnl`	Feedforward neural networks initialization based on discriminant learning. Neural Networks Kateryna Chumachenko, Alexandros Iosifidis, Moncef Gabbouj
2022	J	`jnl`	Fighting Money Laundering with Statistics and Machine Learning: An Introduction and Review. CoRR Rasmus Jensen, Alexandros Iosifidis
2022	J	`jnl`	Forecasting large-scale circulation regimes using deformable convolutional neural networks and global spatiotemporal climate data. CoRR Andreas Holm Nielsen, Alexandros Iosifidis, Henrik Karstoft
2022	B	`conf`	Generalized Reference Kernel for One-class Classification. IJCNN Jenni Raitoharju, Alexandros Iosifidis
2022	J	`jnl`	Generalized Reference Kernel for One-class Classification. CoRR Jenni Raitoharju, Alexandros Iosifidis
2022	J	`jnl`	Graph Embedding With Data Uncertainty. IEEE Access Firas Laakom, Jenni Raitoharju, Nikolaos Passalis, Alexandros Iosifidis, Moncef Gabbouj
2022	B	`conf`	Graph Reinforcement Learning-based CNN Inference Offloading in Dynamic Edge Computing. GLOBECOM Nan Li, Alexandros Iosifidis, Qi Zhang
2022	J	`jnl`	Graph Reinforcement Learning-based CNN Inference Offloading in Dynamic Edge Computing. CoRR Nan Li, Alexandros Iosifidis, Qi Zhang
2022	J	`jnl`	How informative is the Order Book Beyond the Best Levels? Machine Learning Perspective. CoRR Dat Thanh Tran, Juho Kanniainen, Alexandros Iosifidis
2022	J	`jnl`	HyperTime: Implicit Neural Representation for Time Series. CoRR Elizabeth Fons, Alejandro Sztrajman, Yousef El-Laham, Alexandros Iosifidis, Svitlana Vyetrenko
2022	J	`jnl`	Layer Ensembles. CoRR Illia Oleksiienko, Alexandros Iosifidis
2022	J	`jnl`	Learning Diversified Feature Representations for Facial Expression Recognition in the Wild. CoRR Negar Heidari, Alexandros Iosifidis
2022	—	`conf`	Multi-head Temporal Attention-Augmented Bilinear Network for Financial time series prediction. EUSIPCO Mostafa Shabani, Dat Thanh Tran, Martin Magris, Juho Kanniainen, Alexandros Iosifidis
2022	J	`jnl`	Multi-head Temporal Attention-Augmented Bilinear Network for Financial time series prediction. CoRR Mostafa Shabani, Dat Thanh Tran, Martin Magris, Juho Kanniainen, Alexandros Iosifidis
2022	J	`jnl`	Non-Linear Spectral Dimensionality Reduction Under Uncertainty. CoRR Firas Laakom, Jenni Raitoharju, Nikolaos Passalis, Alexandros Iosifidis, Moncef Gabbouj
2022	J	`jnl`	Online Skeleton-based Action Recognition with Continual Spatio-Temporal Graph Convolutional Networks. CoRR Lukas Hedegaard, Negar Heidari, Alexandros Iosifidis
2022	A	`conf`	OpenDR: An Open Toolkit for Enabling High Performance, Low Footprint Deep Learning for Robotics. IROS Nikolaos Passalis, S. Pedrazzi, Robert Babuska, Wolfram Burgard, D. Dias, F. Ferro, Moncef Gabbouj, Ole Green, Alexandros Iosifidis, Erdal Kayacan, Jens Kober, O. Michel, Nikos Nikolaidis, Paraskevi Nousi, Roel Pieters, Maria Tzelepi, Abhinav Valada, Anastasios Tefas
2022	J	`jnl`	OpenDR: An Open Toolkit for Enabling High Performance, Low Footprint Deep Learning for Robotics. CoRR Nikolaos Passalis, S. Pedrazzi, Robert Babuska, Wolfram Burgard, D. Dias, F. Ferro, Moncef Gabbouj, Ole Green, Alexandros Iosifidis, Erdal Kayacan, Jens Kober, O. Michel, Nikolaos Nikolaidis, Paraskevi Nousi, Roel Pieters, Maria Tzelepi, Abhinav Valada, Anastasios Tefas
2022	C	`conf`	Product Quality Control in Assembly Machine under Data Restricted Settings. INDIN Fatemeh Kakavandi, Roger De Reus, Cláudio Gomes, Negar Heidari, Alexandros Iosifidis, Peter Gorm Larsen
2022	J	`jnl`	Quasi Black-Box Variational Inference with Natural Gradients for Bayesian Learning. CoRR Martin Magris, Mostafa Shabani, Alexandros Iosifidis
2022	—	`conf`	Receptive Field-based Segmentation for Distributed CNN Inference Acceleration in Collaborative Edge Computing. ICC Nan Li, Alexandros Iosifidis, Qi Zhang
2022	J	`jnl`	Receptive Field-based Segmentation for Distributed CNN Inference Acceleration in Collaborative Edge Computing. CoRR Nan Li, Alexandros Iosifidis, Qi Zhang
2022	J	`jnl`	Recognition of Defective Mineral Wool Using Pruned ResNet Models. CoRR Mehdi Rafiei, Dat Thanh Tran, Alexandros Iosifidis
2022	J	`jnl`	Reducing Redundancy in the Bottleneck Representation of the Autoencoders. CoRR Firas Laakom, Jenni Raitoharju, Alexandros Iosifidis, Moncef Gabbouj
2022	J	`jnl`	Remote Multilinear Compressive Learning With Adaptive Compression. IEEE Internet Things J. Dat Thanh Tran, Moncef Gabbouj, Alexandros Iosifidis
2022	J	`jnl`	Saliency-Based Multilabel Linear Discriminant Analysis. IEEE Trans. Cybern. Lei Xu, Jenni Raitoharju, Alexandros Iosifidis, Moncef Gabbouj
2022	—	`conf`	Self-Attention Neural Bag-of-Features. MLSP Kateryna Chumachenko, Alexandros Iosifidis, Moncef Gabbouj
2022	J	`jnl`	Self-Attention Neural Bag-of-Features. CoRR Kateryna Chumachenko, Alexandros Iosifidis, Moncef Gabbouj
2022	B	`conf`	Self-attention fusion for audiovisual emotion recognition with incomplete data. ICPR Kateryna Chumachenko, Alexandros Iosifidis, Moncef Gabbouj
2022	J	`jnl`	Self-attention fusion for audiovisual emotion recognition with incomplete data. CoRR Kateryna Chumachenko, Alexandros Iosifidis, Moncef Gabbouj
2022	J	`jnl`	Semantic Communication Enabling Robust Edge Intelligence for Time-Critical IoT Applications. CoRR Andrea Cavagna, Nan Li, Alexandros Iosifidis, Qi Zhang
2022	J	`jnl`	Single-layer vision transformers for more accurate early exits with less overhead. Neural Networks Arian Bakhtiarnia, Qi Zhang, Alexandros Iosifidis
2022	J	`jnl`	Structured Pruning Adapters. CoRR Lukas Hedegaard, Aman Alok, Juby Jose, Alexandros Iosifidis
2022	J	`jnl`	VPIT: Real-time Embedded Single Object 3D Tracking Using Voxel Pseudo Images. CoRR Illia Oleksiienko, Paraskevi Nousi, Nikolaos Passalis, Anastasios Tefas, Alexandros Iosifidis
2022	J	`jnl`	Variational Neural Networks implementation in Pytorch and JAX. Softw. Impacts Illia Oleksiienko, Dat Thanh Tran, Alexandros Iosifidis
2022	J	`jnl`	Variational Neural Networks. CoRR Illia Oleksiienko, Dat Thanh Tran, Alexandros Iosifidis
2022	—	`conf`	Weighted Edit Distance for Country Code Recognition in License Plates. EUSIPCO Kateryna Chumachenko, Alexandros Iosifidis, Moncef Gabbouj
2021	J	`jnl`	AURSAD: Universal Robot Screwdriving Anomaly Detection Dataset. CoRR Blazej Leporowski, Daniella Tola, Casper Hansen, Alexandros Iosifidis
2021	J	`jnl`	Adaptive Weighting Scheme for Automatic Time-Series Data Augmentation. CoRR Elizabeth Fons, Paula Dawson, Xiao-Jun Zeng, John A. Keane, Alexandros Iosifidis
2021	J	`jnl`	Analysis of voxel-based 3D object detection methods efficiency for real-time embedded systems. CoRR Illia Oleksiienko, Alexandros Iosifidis
2021	Misc	`conf`	Augmenting Transferred Representations for Stock Classification. ICASSP Elizabeth Fons, Paula Dawson, Xiao-Jun Zeng, John A. Keane, Alexandros Iosifidis
2021	C	`conf`	Automatic Main Character Recognition for Photographic Studies. MMSP Mert Seker, Anssi Männistö, Alexandros Iosifidis, Jenni Raitoharju
2021	J	`jnl`	Automatic Main Character Recognition for Photographic Studies. CoRR Mert Seker, Anssi Männistö, Alexandros Iosifidis, Jenni Raitoharju
2021	J	`jnl`	Automatic Social Distance Estimation From Images: Performance Evaluation, Test Benchmark, and Algorithm. CoRR Mert Seker, Anssi Männistö, Alexandros Iosifidis, Jenni Raitoharju
2021	J	`jnl`	Bilinear Input Normalization for Neural Networks in Financial Forecasting. CoRR Dat Thanh Tran, Juho Kanniainen, Moncef Gabbouj, Alexandros Iosifidis
2021	J	`jnl`	CloudCast: A Satellite-Based Dataset and Baseline for Forecasting Clouds. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Andreas Holm Nielsen, Alexandros Iosifidis, Henrik Karstoft
2021	J	`jnl`	Constructing Neural Network-Based Models for Simulating Dynamical Systems. CoRR Christian Møldrup Legaard, Thomas Schranz, Gerald Schweiger, Ján Drgona, Basak Falay, Cláudio Gomes, Alexandros Iosifidis, Mahdi Abkar, Peter Gorm Larsen
2021	J	`jnl`	Continual 3D Convolutional Neural Networks for Real-time Processing of Videos. CoRR Lukas Hedegaard, Alexandros Iosifidis
2021	J	`jnl`	Deep Multi-View Learning to Rank. IEEE Trans. Knowl. Data Eng. Guanqun Cao, Alexandros Iosifidis, Moncef Gabbouj, Vijay Raghavan, Raju Gottumukkala
2021	J	`jnl`	DeepTimeAnomalyViz: A Tool for Visualizing and Post-processing Deep Learning Anomaly Detection Results for Industrial Time-Series. CoRR Blazej Leporowski, Casper Hansen, Alexandros Iosifidis
2021	J	`jnl`	Detecting Faults during Automatic Screwdriving: A Dataset and Use Case of Anomaly Detection for Automatic Screwdriving. CoRR Blazej Leporowski, Daniella Tola, Casper Hansen, Alexandros Iosifidis
2021	A	`conf`	ECINN: Efficient Counterfactuals from Invertible Neural Networks. BMVC Frederik Hvilshøj, Alexandros Iosifidis, Ira Assent
2021	J	`jnl`	ECINN: Efficient Counterfactuals from Invertible Neural Networks. CoRR Frederik Hvilshøj, Alexandros Iosifidis, Ira Assent
2021	Misc	`conf`	Ensembling Object Detectors for Image and Video Data Analysis. ICASSP Kateryna Chumachenko, Jenni Raitoharju, Alexandros Iosifidis, Moncef Gabbouj
2021	J	`jnl`	Ensembling object detectors for image and video data analysis. CoRR Kateryna Chumachenko, Jenni Raitoharju, Alexandros Iosifidis, Moncef Gabbouj
2021	J	`jnl`	Exploiting heterogeneity in operational neural networks by synaptic plasticity. Neural Comput. Appl. Serkan Kiranyaz, Junaid Malik, Habib Ben Abdallah, Turker Ince, Alexandros Iosifidis, Moncef Gabbouj
2021	J	`jnl`	Forecasting Financial Time Series Using Robust Deep Adaptive Input Normalization. J. Signal Process. Syst. Nikolaos Passalis, Juho Kanniainen, Moncef Gabbouj, Alexandros Iosifidis, Anastasios Tefas
2021	J	`jnl`	Graph-Embedded Multi-Layer Kernel Ridge Regression for One-Class Classification. Cogn. Comput. Chandan Gautam, Aruna Tiwari, Pratik K. Mishra, Suresh Sundaram, Alexandros Iosifidis, Muhammad Tanveer
2021	J	`jnl`	Graph-Embedded Subspace Support Vector Data Description. CoRR Fahad Sohrab, Alexandros Iosifidis, Moncef Gabbouj, Jenni Raitoharju
2021	J	`jnl`	Hypersphere-Based Weight Imprinting for Few-Shot Learning on Embedded Devices. IEEE Trans. Neural Networks Learn. Syst. Nikolaos Passalis, Alexandros Iosifidis, Moncef Gabbouj, Anastasios Tefas
2021	J	`jnl`	INTEL-TAU: A Color Constancy Dataset. IEEE Access Firas Laakom, Jenni Raitoharju, Jarno Nikkanen, Alexandros Iosifidis, Moncef Gabbouj
2021	B	`conf`	Improving the Accuracy of Early Exits in Multi-Exit Architectures via Curriculum Learning. IJCNN Arian Bakhtiarnia, Qi Zhang, Alexandros Iosifidis
2021	J	`jnl`	Improving the Accuracy of Early Exits in Multi-Exit Architectures via Curriculum Learning. CoRR Arian Bakhtiarnia, Qi Zhang, Alexandros Iosifidis
2021	—	`conf`	Introduction to Digital Twin Engineering. ANNSIM Hao Feng, Cláudio Gomes, Casper Thule, Kenneth Lausdahl, Alexandros Iosifidis, Peter Gorm Larsen
2021	J	`jnl`	Knowledge Distillation By Sparse Representation Matching. CoRR Dat Thanh Tran, Moncef Gabbouj, Alexandros Iosifidis
2021	A	`conf`	Learning to ignore: rethinking attention in CNNs. BMVC Firas Laakom, Kateryna Chumachenko, Jenni Raitoharju, Alexandros Iosifidis, Moncef Gabbouj
2021	J	`jnl`	Learning to ignore: rethinking attention in CNNs. CoRR Firas Laakom, Kateryna Chumachenko, Jenni Raitoharju, Alexandros Iosifidis, Moncef Gabbouj
2021	J	`jnl`	Low-Rank Temporal Attention-Augmented Bilinear Network for financial time-series forecasting. CoRR Mostafa Shabani, Alexandros Iosifidis
2021	B	`conf`	Monte Carlo Dropout Ensembles for Robust Illumination Estimation. IJCNN Firas Laakom, Jenni Raitoharju, Alexandros Iosifidis, Jarno Nikkanen, Moncef Gabbouj
2021	A	`conf`	Multi-Exit Vision Transformer for Dynamic Inference. BMVC Arian Bakhtiarnia, Qi Zhang, Alexandros Iosifidis
2021	J	`jnl`	Multi-Exit Vision Transformer for Dynamic Inference. CoRR Arian Bakhtiarnia, Qi Zhang, Alexandros Iosifidis
2021	J	`jnl`	Multilinear Compressive Learning. IEEE Trans. Neural Networks Learn. Syst. Dat Thanh Tran, Mehmet Yamaç, Aysen Degerli, Moncef Gabbouj, Alexandros Iosifidis
2021	J	`jnl`	Multimodal subspace support vector data description. Pattern Recognit. Fahad Sohrab, Jenni Raitoharju, Alexandros Iosifidis, Moncef Gabbouj
2021	J	`jnl`	On Quantitative Evaluations of Counterfactuals. CoRR Frederik Hvilshøj, Alexandros Iosifidis, Ira Assent
2021	B	`conf`	On the spatial attention in spatio-temporal graph convolutional networks for skeleton-based human action recognition. IJCNN Negar Heidari, Alexandros Iosifidis
2021	J	`jnl`	Pain detection using batch normalized discriminant restricted Boltzmann machine layers. J. Vis. Commun. Image Represent. Reza Kharghanian, Ali Peiravi, Farshad Moradi, Alexandros Iosifidis
2021	J	`jnl`	Progressive Graph Convolutional Networks for Semi-Supervised Node Classification. IEEE Access Negar Heidari, Alexandros Iosifidis
2021	C	`conf`	Progressive Spatio-Temporal Bilinear Network with Monte Carlo Dropout for Landmark-based Facial Expression Recognition with Uncertainty Estimation. MMSP Negar Heidari, Alexandros Iosifidis
2021	J	`jnl`	Progressive Spatio-Temporal Bilinear Network with Monte Carlo Dropout for Landmark-based Facial Expression Recognition with Uncertainty Estimation. CoRR Negar Heidari, Alexandros Iosifidis
2021	Misc	`conf`	Progressive Spatio-Temporal Graph Convolutional Network for Skeleton-Based Human Action Recognition. ICASSP Negar Heidari, Alexandros Iosifidis
2021	J	`jnl`	Remote Multilinear Compressive Learning with Adaptive Compression. CoRR Dat Thanh Tran, Moncef Gabbouj, Alexandros Iosifidis
2021	A	`conf`	Robust channel-wise illumination estimation. BMVC Firas Laakom, Jenni Raitoharju, Jarno Nikkanen, Alexandros Iosifidis, Moncef Gabbouj
2021	J	`jnl`	Self-organized Operational Neural Networks with Generative Neurons. Neural Networks Serkan Kiranyaz, Junaid Malik, Habib Ben Abdallah, Turker Ince, Alexandros Iosifidis, Moncef Gabbouj
2021	J	`jnl`	Single-Layer Vision Transformers for More Accurate Early Exits with Less Overhead. CoRR Arian Bakhtiarnia, Qi Zhang, Alexandros Iosifidis
2021	B	`conf`	Speech Command Recognition in Computationally Constrained Environments with a Quadratic Self-Organized Operational Layer. IJCNN Mohammad Soltanian, Junaid Malik, Jenni Raitoharju, Alexandros Iosifidis, Serkan Kiranyaz, Moncef Gabbouj
2021	J	`jnl`	Speed-up and multi-view extensions to subclass discriminant analysis. Pattern Recognit. Kateryna Chumachenko, Jenni Raitoharju, Alexandros Iosifidis, Moncef Gabbouj
2021	J	`jnl`	Supervised Domain Adaptation: A Graph Embedding Perspective and a Rectified Experimental Protocol. IEEE Trans. Image Process. Lukas Hedegaard, Omar Ali Sheikh-Omar, Alexandros Iosifidis
2021	J	`jnl`	Visualising Deep Network's Time-Series Representations. CoRR Blazej Leporowski, Alexandros Iosifidis
2021	J	`jnl`	Visualising deep network time-series representations. Neural Comput. Appl. Blazej Leporowski, Alexandros Iosifidis
2021	J	`jnl`	Within-layer Diversity Reduces Generalization Gap. CoRR Firas Laakom, Jenni Raitoharju, Alexandros Iosifidis, Moncef Gabbouj
2020	Misc	`conf`	Adaptive Normalization for Forecasting Limit Order Book Data Using Convolutional Neural Networks. ICASSP Nikolaos Passalis, Anastasios Tefas, Juho Kanniainen, Moncef Gabbouj, Alexandros Iosifidis
2020	J	`jnl`	Attention-based Neural Bag-of-Features Learning for Sequence Data. CoRR Dat Thanh Tran, Nikolaos Passalis, Anastasios Tefas, Moncef Gabbouj, Alexandros Iosifidis
2020	J	`jnl`	Automatic image-based identification and biomass estimation of invertebrates. CoRR 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
2020	J	`jnl`	Bag of Color Features for Color Constancy. IEEE Trans. Image Process. Firas Laakom, Nikolaos Passalis, Jenni Raitoharju, Jarno Nikkanen, Anastasios Tefas, Alexandros Iosifidis, Moncef Gabbouj
2020	J	`jnl`	Class mean vector component and discriminant analysis. Pattern Recognit. Lett. Alexandros Iosifidis
2020	J	`jnl`	CloudCast: A Satellite-Based Dataset and Baseline for Forecasting Clouds. CoRR Andreas Holm Nielsen, Alexandros Iosifidis, Henrik Karstoft
2020	B	`conf`	Data Normalization for Bilinear Structures in High-Frequency Financial Time-series. ICPR Dat Thanh Tran, Juho Kanniainen, Moncef Gabbouj, Alexandros Iosifidis
2020	J	`jnl`	Data Normalization for Bilinear Structures in High-Frequency Financial Time-series. CoRR Dat Thanh Tran, Juho Kanniainen, Moncef Gabbouj, Alexandros Iosifidis
2020	J	`jnl`	Deep Adaptive Input Normalization for Time Series Forecasting. IEEE Trans. Neural Networks Learn. Syst. Nikolaos Passalis, Anastasios Tefas, Juho Kanniainen, Moncef Gabbouj, Alexandros Iosifidis
2020	J	`jnl`	Deep Learning for Visual Content Analysis. Signal Process. Image Commun. Alexandros Iosifidis, Anastasios Tefas
2020	J	`jnl`	Ellipsoidal Subspace Support Vector Data Description. IEEE Access Fahad Sohrab, Jenni Raitoharju, Alexandros Iosifidis, Moncef Gabbouj
2020	J	`jnl`	Ellipsoidal Subspace Support Vector Data Description. CoRR Fahad Sohrab, Jenni Raitoharju, Alexandros Iosifidis, Moncef Gabbouj
2020	J	`jnl`	Evaluating data augmentation for financial time series classification. CoRR Elizabeth Fons, Paula Dawson, Xiao-Jun Zeng, John A. Keane, Alexandros Iosifidis
2020	J	`jnl`	Exploiting Heterogeneity in Operational Neural Networks by Synaptic Plasticity. CoRR Serkan Kiranyaz, Junaid Malik, Habib Ben Abdallah, Turker Ince, Alexandros Iosifidis, Moncef Gabbouj
2020	J	`jnl`	Graph Embedding with Data Uncertainty. CoRR Firas Laakom, Jenni Raitoharju, Nikolaos Passalis, Alexandros Iosifidis, Moncef Gabbouj
2020	J	`jnl`	Heterogeneous Multilayer Generalized Operational Perceptron. IEEE Trans. Neural Networks Learn. Syst. Dat Thanh Tran, Serkan Kiranyaz, Moncef Gabbouj, Alexandros Iosifidis
2020	—	`conf`	Human Action Recognition Using Recurrent Bag-of-Features Pooling. ICPR Workshops (5) Marios Krestenitis, Nikolaos Passalis, Alexandros Iosifidis, Moncef Gabbouj, Anastasios Tefas
2020	J	`jnl`	Human experts vs. machines in taxa recognition. Signal Process. Image Commun. Johanna Ärje, Jenni Raitoharju, Alexandros Iosifidis, Ville Tirronen, Kristian Meissner, Moncef Gabbouj, Serkan Kiranyaz, Salme Kärkkäinen
2020	B	`conf`	Incremental Fast Subclass Discriminant Analysis. ICIP Kateryna Chumachenko, Jenni Raitoharju, Moncef Gabbouj, Alexandros Iosifidis
2020	J	`jnl`	Incremental Fast Subclass Discriminant Analysis. CoRR Kateryna Chumachenko, Jenni Raitoharju, Moncef Gabbouj, Alexandros Iosifidis
2020	—	`conf`	Low-Rank Temporal Attention-Augmented Bilinear Network for financial time-series forecasting. SSCI Mostafa Shabani, Alexandros Iosifidis
2020	J	`jnl`	Machine Learning Based Analysis of Finnish World War II Photographers. IEEE Access Kateryna Chumachenko, Anssi Männistö, Alexandros Iosifidis, Jenni Raitoharju
2020	J	`jnl`	Monte Carlo Dropout Ensembles for Robust Illumination Estimation. CoRR Firas Laakom, Jenni Raitoharju, Alexandros Iosifidis, Jarno Nikkanen, Moncef Gabbouj
2020	J	`jnl`	Multilinear Compressive Learning with Prior Knowledge. CoRR Dat Thanh Tran, Moncef Gabbouj, Alexandros Iosifidis
2020	B	`conf`	Not all domains are equally complex: Adaptive Multi-Domain Learning. ICPR Ali Senhaji, Jenni Raitoharju, Moncef Gabbouj, Alexandros Iosifidis
2020	J	`jnl`	Not all domains are equally complex: Adaptive Multi-Domain Learning. CoRR Ali Senhaji, Jenni Raitoharju, Moncef Gabbouj, Alexandros Iosifidis
2020	J	`jnl`	On the spatial attention in Spatio-Temporal Graph Convolutional Networks for skeleton-based human action recognition. CoRR Negar Heidari, Alexandros Iosifidis
2020	J	`jnl`	Operational neural networks. Neural Comput. Appl. Serkan Kiranyaz, Turker Ince, Alexandros Iosifidis, Moncef Gabbouj
2020	—	`conf`	Performance Indicator in Multilinear Compressive Learning. SSCI Dat Thanh Tran, Moncef Gabbouj, Alexandros Iosifidis
2020	J	`jnl`	Performance Indicator in Multilinear Compressive Learning. CoRR Dat Thanh Tran, Moncef Gabbouj, Alexandros Iosifidis
2020	J	`jnl`	Probabilistic Class-Specific Discriminant Analysis. IEEE Access Alexandros Iosifidis
2020	B	`conf`	Probabilistic Color Constancy. ICIP Firas Laakom, Jenni Raitoharju, Alexandros Iosifidis, Uygar Tuna, Jarno Nikkanen, Moncef Gabbouj
2020	J	`jnl`	Probabilistic Color Constancy. CoRR Firas Laakom, Jenni Raitoharju, Alexandros Iosifidis, Uygar Tuna, Jarno Nikkanen, Moncef Gabbouj
2020	J	`jnl`	Progressive Graph Convolutional Networks for Semi-Supervised Node Classification. CoRR Negar Heidari, Alexandros Iosifidis
2020	J	`jnl`	Progressive Operational Perceptrons with Memory. Neurocomputing Dat Thanh Tran, Serkan Kiranyaz, Moncef Gabbouj, Alexandros Iosifidis
2020	J	`jnl`	Progressive Spatio-Temporal Graph Convolutional Network for Skeleton-Based Human Action Recognition. CoRR Negar Heidari, Alexandros Iosifidis
2020	J	`jnl`	Recurrent bag-of-features for visual information analysis. Pattern Recognit. Marios Krestenitis, Nikolaos Passalis, Alexandros Iosifidis, Moncef Gabbouj, Anastasios Tefas
2020	—	`conf`	Robust Fast Subclass Discriminant Analysis. EUSIPCO Kateryna Chumachenko, Alexandros Iosifidis, Moncef Gabbouj
2020	—	`conf`	Robust Hypersphere-based Weight Imprinting for Few-Shot Learning. EUSIPCO Nikolaos Passalis, Alexandros Iosifidis, Moncef Gabbouj, Anastasios Tefas
2020	J	`jnl`	Saliency-based Weighted Multi-label Linear Discriminant Analysis. CoRR Lei Xu, Jenni Raitoharju, Alexandros Iosifidis, Moncef Gabbouj
2020	J	`jnl`	Self-Organized Operational Neural Networks with Generative Neurons. CoRR Serkan Kiranyaz, Junaid Malik, Habib Ben Abdallah, Turker Ince, Alexandros Iosifidis, Moncef Gabbouj
2020	J	`jnl`	Speech Command Recognition in Computationally Constrained Environments with a Quadratic Self-organized Operational Layer. CoRR Mohammad Soltanian, Junaid Malik, Jenni Raitoharju, Alexandros Iosifidis, Serkan Kiranyaz, Moncef Gabbouj
2020	J	`jnl`	Subset Sampling For Progressive Neural Network Learning. CoRR Dat Thanh Tran, Moncef Gabbouj, Alexandros Iosifidis
2020	B	`conf`	Subset Sampling for Progressive Neural Network Learning. ICIP Dat Thanh Tran, Moncef Gabbouj, Alexandros Iosifidis
2020	B	`conf`	Supervised Domain Adaptation using Graph Embedding. ICPR Lukas Hedegaard Morsing, Omar Ali Sheikh-Omar, Alexandros Iosifidis
2020	J	`jnl`	Supervised Domain Adaptation using Graph Embedding. CoRR Lukas Hedegaard, Omar Ali Sheikh-Omar, Alexandros Iosifidis
2020	J	`jnl`	Supervised Domain Adaptation: Were we doing Graph Embedding all along? CoRR Lukas Hedegaard, Omar Ali Sheikh-Omar, Alexandros Iosifidis
2020	B	`conf`	Temporal Attention-Augmented Graph Convolutional Network for Efficient Skeleton-Based Human Action Recognition. ICPR Negar Heidari, Alexandros Iosifidis
2020	J	`jnl`	Temporal Attention-Augmented Graph Convolutional Network for Efficient Skeleton-Based Human Action Recognition. CoRR Negar Heidari, Alexandros Iosifidis
2020	J	`jnl`	Temporal Bag-of-Features Learning for Predicting Mid Price Movements Using High Frequency Limit Order Book Data. IEEE Trans. Emerg. Top. Comput. Intell. Nikolaos Passalis, Anastasios Tefas, Juho Kanniainen, Moncef Gabbouj, Alexandros Iosifidis
2020	J	`jnl`	Temporal logistic neural Bag-of-Features for financial time series forecasting leveraging limit order book data. Pattern Recognit. Lett. Nikolaos Passalis, Anastasios Tefas, Juho Kanniainen, Moncef Gabbouj, Alexandros Iosifidis
2020	Misc	`conf`	Text-To-Image Synthesis Method Evaluation Based On Visual Patterns. ICASSP William Lund Sommer, Alexandros Iosifidis
2020	J	`jnl`	Using Deep Learning for price prediction by exploiting stationary limit order book features. Appl. Soft Comput. Avraam Tsantekidis, Nikolaos Passalis, Anastasios Tefas, Juho Kanniainen, Moncef Gabbouj, Alexandros Iosifidis
2020	J	`jnl`	Variance-preserving deep metric learning for content-based image retrieval. Pattern Recognit. Lett. Nikolaos Passalis, Alexandros Iosifidis, Moncef Gabbouj, Anastasios Tefas
2019	J	`jnl`	3D Quantum Cuts for Automatic Segmentation of Porous Media in Tomography Images. CoRR Junaid Malik, Serkan Kiranyaz, Riyadh Al-Raoush, Olivier Monga, Patricia Garnier, Sebti Foufou, Abdelaziz Bouras, Alexandros Iosifidis, Moncef Gabbouj, Philippe C. Baveye
2019	J	`jnl`	Bag of Color Features For Color Constancy. CoRR Firas Laakom, Nikolaos Passalis, Jenni Raitoharju, Jarno Nikkanen, Anastasios Tefas, Alexandros Iosifidis, Moncef Gabbouj
2019	B	`conf`	Class-Based Variational Representation Learning For Robust Image Retrieval. ICIP Nikolaos Passalis, Anastasios Tefas, Alexandros Iosifidis, Moncef Gabbouj
2019	—	`conf`	Color Constancy Convolutional Autoencoder. SSCI Firas Laakom, Jenni Raitoharju, Alexandros Iosifidis, Jarno Nikkanen, Moncef Gabbouj
2019	J	`jnl`	Color Constancy Convolutional Autoencoder. CoRR Firas Laakom, Jenni Raitoharju, Alexandros Iosifidis, Jarno Nikkanen, Moncef Gabbouj
2019	—	`conf`	Curriculum-based Teacher Ensemble for Robust Neural Network Distillation. EUSIPCO Georgios Panagiotatos, Nikolaos Passalis, Alexandros Iosifidis, Moncef Gabbouj, Anastasios Tefas
2019	J	`jnl`	Data-driven Neural Architecture Learning For Financial Time-series Forecasting. CoRR Dat Thanh Tran, Juho Kanniainen, Moncef Gabbouj, Alexandros Iosifidis
2019	J	`jnl`	Deep Adaptive Input Normalization for Price Forecasting using Limit Order Book Data. CoRR Nikolaos Passalis, Anastasios Tefas, Juho Kanniainen, Moncef Gabbouj, Alexandros Iosifidis
2019	Misc	`conf`	Deep Temporal Logistic Bag-of-features for Forecasting High Frequency Limit Order Book Time Series. ICASSP Nikolaos Passalis, Anastasios Tefas, Juho Kanniainen, Moncef Gabbouj, Alexandros Iosifidis
2019	J	`jnl`	Feature Engineering for Mid-Price Prediction With Deep Learning. IEEE Access Adamantios Ntakaris, Giorgio Mirone, Juho Kanniainen, Moncef Gabbouj, Alexandros Iosifidis
2019	J	`jnl`	Feature Engineering for Mid-Price Prediction with Deep Learning. CoRR Adamantios Ntakaris, Giorgio Mirone, Juho Kanniainen, Moncef Gabbouj, Alexandros Iosifidis
2019	J	`jnl`	INTEL-TAU: A Color Constancy Dataset. CoRR Firas Laakom, Jenni Raitoharju, Alexandros Iosifidis, Jarno Nikkanen, Moncef Gabbouj
2019	B	`conf`	Knowledge Transfer for Face Verification Using Heterogeneous Generalized Operational Perceptrons. ICIP Dat Thanh Tran, Serkan Kiranyaz, Moncef Gabbouj, Alexandros Iosifidis
2019	Misc	`conf`	Learning to Rank: A Progressive Neural Network Learning Approach. ICASSP Dat Thanh Tran, Alexandros Iosifidis
2019	—	`conf`	Less Is More: Deep Learning Using Subjective Annotations For Sentiment Analysis From Social Media. MLSP Christina Tzogka, Nikolaos Passalis, Alexandros Iosifidis, Moncef Gabbouj, Anastasios Tefas
2019	J	`jnl`	Machine Learning Based Analysis of Finnish World War II Photographers. CoRR Kateryna Chumachenko, Anssi Männistö, Alexandros Iosifidis, Jenni Raitoharju
2019	J	`jnl`	Machine Learning for Forecasting Mid-Price Movements Using Limit Order Book Data. IEEE Access Paraskevi Nousi, Avraam Tsantekidis, Nikolaos Passalis, Adamantios Ntakaris, Juho Kanniainen, Anastasios Tefas, Moncef Gabbouj, Alexandros Iosifidis
2019	J	`jnl`	Mid-price Prediction Based on Machine Learning Methods with Technical and Quantitative Indicators. CoRR Adamantios Ntakaris, Juho Kanniainen, Moncef Gabbouj, Alexandros Iosifidis
2019	J	`jnl`	Multilinear Compressive Learning. CoRR Dat Thanh Tran, Mehmet Yamac, Aysen Degerli, Moncef Gabbouj, Alexandros Iosifidis
2019	J	`jnl`	Multimodal Subspace Support Vector Data Description. CoRR Fahad Sohrab, Jenni Raitoharju, Alexandros Iosifidis, Moncef Gabbouj
2019	J	`jnl`	Null Space Analysis for Class-Specific Discriminant Learning. CoRR Jenni Raitoharju, Alexandros Iosifidis
2019	J	`jnl`	Operational Neural Networks. CoRR Serkan Kiranyaz, Turker Ince, Alexandros Iosifidis, Moncef Gabbouj
2019	J	`jnl`	Speed-up and multi-view extensions to Subclass Discriminant Analysis. CoRR Kateryna Chumachenko, Jenni Raitoharju, Alexandros Iosifidis, Moncef Gabbouj
2019	J	`jnl`	Temporal Attention-Augmented Bilinear Network for Financial Time-Series Data Analysis. IEEE Trans. Neural Networks Learn. Syst. Dat Thanh Tran, Alexandros Iosifidis, Juho Kanniainen, Moncef Gabbouj
2019	J	`jnl`	Temporal Logistic Neural Bag-of-Features for Financial Time series Forecasting leveraging Limit Order Book Data. CoRR Nikolaos Passalis, Anastasios Tefas, Juho Kanniainen, Moncef Gabbouj, Alexandros Iosifidis
2019	J	`jnl`	Text-to-image synthesis method evaluation based on visual patterns. CoRR William Lund Sommer, Alexandros Iosifidis
2018	B	`conf`	Acceleration Approaches for Big Data Analysis. ICIP Anton Muravev, Dat Thanh Tran, Moncef Gabbouj, Alexandros Iosifidis, Serkan Kiranyaz
2018	—	`conf`	Automatic Flower and Visitor Detection System. EUSIPCO Dat Thanh Tran, Toke Thomas Høye, Moncef Gabbouj, Alexandros Iosifidis
2018	J	`jnl`	Benchmark database for fine-grained image classification of benthic macroinvertebrates. Image Vis. Comput. Jenni Raitoharju, Ekaterina Riabchenko, Iftikhar Ahmad, Alexandros Iosifidis, Moncef Gabbouj, Serkan Kiranyaz, Ville Tirronen, Johanna Ärje, Salme Kärkkäinen, Kristian Meissner
2018	J	`jnl`	Class Mean Vector Component and Discriminant Analysis for Kernel Subspace Learning. CoRR Alexandros Iosifidis
2018	J	`jnl`	Deep Multi-view Learning to Rank. CoRR Guanqun Cao, Alexandros Iosifidis, Moncef Gabbouj, Vijay Raghavan, Raju Gottumukkala
2018	J	`jnl`	Generalized Multi-View Embedding for Visual Recognition and Cross-Modal Retrieval. IEEE Trans. Cybern. Guanqun Cao, Alexandros Iosifidis, Ke Chen, Moncef Gabbouj
2018	J	`jnl`	Heterogeneous Multilayer Generalized Operational Perceptron. CoRR Dat Thanh Tran, Alexandros Iosifidis
2018	J	`jnl`	Improving efficiency in convolutional neural networks with multilinear filters. Neural Networks Dat Thanh Tran, Alexandros Iosifidis, Moncef Gabbouj
2018	J	`jnl`	Machine Learning for Forecasting Mid Price Movement using Limit Order Book Data. CoRR Paraskevi Nousi, Avraam Tsantekidis, Nikolaos Passalis, Adamantios Ntakaris, Juho Kanniainen, Anastasios Tefas, Moncef Gabbouj, Alexandros Iosifidis
2018	—	`conf`	Minimum Variance-Embedded Multi-layer Kernel Ridge Regression for One-class Classification. SSCI Chandan Gautam, Aruna Tiwari, Alexandros Iosifidis
2018	J	`jnl`	Multi-layer Kernel Ridge Regression for One-class Classification. CoRR Chandan Gautam, Aruna Tiwari, Suresh Sundaram, Alexandros Iosifidis
2018	J	`jnl`	Neural class-specific regression for face verification. IET Biom. Guanqun Cao, Alexandros Iosifidis, Moncef Gabbouj
2018	J	`jnl`	Probabilistic Class-Specific Discriminant Analysis. CoRR Alexandros Iosifidis
2018	J	`jnl`	Probabilistic saliency estimation. Pattern Recognit. Çaglar Aytekin, Alexandros Iosifidis, Moncef Gabbouj
2018	J	`jnl`	Progressive Operational Perceptron with Memory. CoRR Dat Thanh Tran, Serkan Kiranyaz, Moncef Gabbouj, Alexandros Iosifidis
2018	J	`jnl`	Semi-supervised subclass support vector data description for image and video classification. Neurocomputing Vasileios Mygdalis, Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas
2018	B	`conf`	Subspace Support Vector Data Description. ICPR Fahad Sohrab, Jenni Raitoharju, Moncef Gabbouj, Alexandros Iosifidis
2018	J	`jnl`	Subspace Support Vector Data Description. CoRR Fahad Sohrab, Jenni Raitoharju, Moncef Gabbouj, Alexandros Iosifidis
2018	J	`jnl`	Using Deep Learning for price prediction by exploiting stationary limit order book features. CoRR Avraam Tsantekidis, Nikolaos Passalis, Anastasios Tefas, Juho Kanniainen, Moncef Gabbouj, Alexandros Iosifidis
2018	B	`conf`	Weighted Linear Discriminant Analysis Based on Class Saliency Information. ICIP Lei Xu, Alexandros Iosifidis, Moncef Gabbouj
2018	J	`jnl`	Weighted Linear Discriminant Analysis based on Class Saliency Information. CoRR Lei Xu, Alexandros Iosifidis, Moncef Gabbouj
2017	J	`jnl`	Approximate kernel extreme learning machine for large scale data classification. Neurocomputing Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas
2017	J	`jnl`	Benchmark Dataset for Mid-Price Prediction of Limit Order Book data. CoRR Adamantios Ntakaris, Martin Magris, Juho Kanniainen, Moncef Gabbouj, Alexandros Iosifidis
2017	J	`jnl`	Big Media Data Analysis. Signal Process. Image Commun. Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas, Moncef Gabbouj
2017	J	`jnl`	CNN-based edge filtering for object proposals. Neurocomputing Muhammad-Adeel Waris, Alexandros Iosifidis, Moncef Gabbouj
2017	J	`jnl`	Class-Specific Kernel Discriminant Analysis Revisited: Further Analysis and Extensions. IEEE Trans. Cybern. Alexandros Iosifidis, Moncef Gabbouj
2017	B	`conf`	Class-specific kernel discriminant analysis based on Cholesky decomposition. IJCNN Alexandros Iosifidis, Moncef Gabbouj
2017	—	`conf`	Forecasting Stock Prices from the Limit Order Book Using Convolutional Neural Networks. CBI (1) Avraam Tsantekidis, Nikolaos Passalis, Anastasios Tefas, Juho Kanniainen, Moncef Gabbouj, Alexandros Iosifidis
2017	B	`conf`	Generalized model of biological neural networks: Progressive operational perceptrons. IJCNN Serkan Kiranyaz, Turker Ince, Alexandros Iosifidis, Moncef Gabbouj
2017	J	`jnl`	Improving Efficiency in Convolutional Neural Network with Multilinear Filters. CoRR Dat Thanh Tran, Alexandros Iosifidis, Moncef Gabbouj
2017	J	`jnl`	Learning graph affinities for spectral graph-based salient object detection. Pattern Recognit. Çaglar Aytekin, Alexandros Iosifidis, Serkan Kiranyaz, Moncef Gabbouj
2017	J	`jnl`	Multi-View Nonparametric Discriminant Analysis for Image Retrieval and Recognition. IEEE Signal Process. Lett. Guanqun Cao, Alexandros Iosifidis, Moncef Gabbouj
2017	J	`jnl`	Multilinear Class-Specific Discriminant Analysis. CoRR Dat Thanh Tran, Moncef Gabbouj, Alexandros Iosifidis
2017	J	`jnl`	Multilinear class-specific discriminant analysis. Pattern Recognit. Lett. Dat Thanh Tran, Moncef Gabbouj, Alexandros Iosifidis
2017	J	`jnl`	Neural Class-Specific Regression for face verification. CoRR Guanqun Cao, Alexandros Iosifidis, Moncef Gabbouj
2017	J	`jnl`	On the comparison of random and Hebbian weights for the training of single-hidden layer feedforward neural networks. Expert Syst. Appl. Kaveh Samiee, Alexandros Iosifidis, Moncef Gabbouj
2017	J	`jnl`	One-Class Classification Based on Extreme Learning and Geometric Class Information. Neural Process. Lett. Alexandros Iosifidis, Vasileios Mygdalis, Anastasios Tefas, Ioannis Pitas
2017	J	`jnl`	Progressive Operational Perceptrons. Neurocomputing Serkan Kiranyaz, Turker Ince, Alexandros Iosifidis, Moncef Gabbouj
2017	—	`conf`	Pyramid encoding for fast additive quantization. EUSIPCO Anton Muravev, Ezgi Can Ozan, Alexandros Iosifidis, Moncef Gabbouj
2017	—	`conf`	Sample-based regularization for support vector machine classification. IPTA Dat Thanh Tran, Muhammad-Adeel Waris, Moncef Gabbouj, Alexandros Iosifidis
2017	—	`conf`	Subaperture image segmentation for lossless compression. IPTA Ionut Schiopu, Moncef Gabbouj, Alexandros Iosifidis, Bing Zeng, Shuaicheng Liu
2017	J	`jnl`	Temporal Attention augmented Bilinear Network for Financial Time-Series Data Analysis. CoRR Dat Thanh Tran, Alexandros Iosifidis, Juho Kanniainen, Moncef Gabbouj
2017	J	`jnl`	Tensor Representation in High-Frequency Financial Data for Price Change Prediction. CoRR Dat Thanh Tran, Martin Magris, Juho Kanniainen, Moncef Gabbouj, Alexandros Iosifidis
2017	—	`conf`	Tensor representation in high-frequency financial data for price change prediction. SSCI Dat Thanh Tran, Martin Magris, Juho Kanniainen, Moncef Gabbouj, Alexandros Iosifidis
2017	J	`jnl`	The effect of automated taxa identification errors on biological indices. Expert Syst. Appl. Johanna Ärje, Salme Kärkkäinen, Kristian Meissner, Alexandros Iosifidis, Türker Ince, Moncef Gabbouj, Serkan Kiranyaz
2017	—	`conf`	Time-series classification using neural Bag-of-Features. EUSIPCO Nikolaos Passalis, Avraam Tsantekidis, Anastasios Tefas, Juho Kanniainen, Moncef Gabbouj, Alexandros Iosifidis
2017	—	`conf`	Using deep learning to detect price change indications in financial markets. EUSIPCO Avraam Tsantekidis, Nikolaos Passalis, Anastasios Tefas, Juho Kanniainen, Moncef Gabbouj, Alexandros Iosifidis
2016	—	`conf`	A review of approximate methods for kernel-based big media data analysis. EUSIPCO Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas, Moncef Gabbouj
2016	B	`conf`	Combining multi-class maximum margin classification with linear discriminant analysis for human action recognition. ICIP Alexandros Iosifidis, Moncef Gabbouj
2016	—	`conf`	Data Enrichment in Fine-Grained Classification of Aquatic Macroinvertebrates. CVAUI@ICPR Jenni Raitoharju, Ekaterina Riabchenko, Kristian Meissner, Iftikhar Ahmad, Alexandros Iosifidis, Moncef Gabbouj, Serkan Kiranyaz
2016	J	`jnl`	Exploiting stereoscopic disparity for augmenting human activity recognition performance. Multim. Tools Appl. Ioannis Mademlis, Alexandros Iosifidis, Anastasios Tefas, Nikos Nikolaidis, Ioannis Pitas
2016	J	`jnl`	Generalized Multi-view Embedding for Visual Recognition and Cross-modal Retrieval. CoRR Guanqun Cao, Alexandros Iosifidis, Ke Chen, Moncef Gabbouj
2016	J	`jnl`	Graph Embedded Extreme Learning Machine. IEEE Trans. Cybern. Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas
2016	J	`jnl`	Graph Embedded One-Class Classifiers for media data classification. Pattern Recognit. Vasileios Mygdalis, Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas
2016	—	`conf`	Graph-regularized multi-class support vector machines for face and action recognition. EUSIPCO Alexandros Iosifidis, Moncef Gabbouj
2016	C	`conf`	Hierarchical class-specific kernel discriminant analysis for face verification. VCIP Alexandros Iosifidis, Moncef Gabbouj
2016	—	`conf`	Kernel subclass support vector description for face and human action recognition. SPLINE Vasileios Mygdalis, Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas
2016	C	`conf`	Laplacian one class extreme learning machines for human action recognition. MMSP Vasileios Mygdalis, Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas
2016	B	`conf`	Learned vs. engineered features for fine-grained classification of aquatic macroinvertebrates. ICPR Ekaterina Riabchenko, Kristian Meissner, Iftikhar Ahmad, Alexandros Iosifidis, Ville Tirronen, Moncef Gabbouj, Serkan Kiranyaz
2016	—	`conf`	Maximum margin binary classifiers using intrinsic and penalty graphs. EUSIPCO Berkay Kicanaoglu, Alexandros Iosifidis, Moncef Gabbouj
2016	J	`jnl`	Multi-class Support Vector Machine classifiers using intrinsic and penalty graphs. Pattern Recognit. Alexandros Iosifidis, Moncef Gabbouj
2016	—	`conf`	Multi-modal subspace learning with dropout regularization for cross-modal recognition and retrieval. IPTA Guanqun Cao, Muhammad-Adeel Waris, Alexandros Iosifidis, Moncef Gabbouj
2016	J	`jnl`	Nyström-based approximate kernel subspace learning. Pattern Recognit. Alexandros Iosifidis, Moncef Gabbouj
2016	B	`conf`	Object proposals using CNN-based edge filtering. ICPR Muhammad-Adeel Waris, Alexandros Iosifidis, Moncef Gabbouj
2016	B	`conf`	One class classification applied in facial image analysis. ICIP Vasileios Mygdalis, Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas
2016	J	`jnl`	Probabilistic Saliency Estimation. CoRR Çaglar Aytekin, Alexandros Iosifidis, Moncef Gabbouj
2016	—	`conf`	Prototype-based class-specific nonlinear subspace learning for large-scale face verification. IPTA Alexandros Iosifidis, Moncef Gabbouj
2016	B	`conf`	Salient object segmentation based on linearly combined affinity graphs. ICPR Çaglar Aytekin, Alexandros Iosifidis, Serkan Kiranyaz, Moncef Gabbouj
2016	J	`jnl`	Scaling Up Class-Specific Kernel Discriminant Analysis for Large-Scale Face Verification. IEEE Trans. Inf. Forensics Secur. Alexandros Iosifidis, Moncef Gabbouj
2016	Misc	`conf`	Supervised subspace learning based on deep randomized networks. ICASSP Alexandros Iosifidis, Moncef Gabbouj
2016	J	`jnl`	Visual Voice Activity Detection in the Wild. IEEE Trans. Multim. Foteini Patrona, Alexandros Iosifidis, Anastasios Tefas, Nikolaos Nikolaidis, Ioannis Pitas
2015	—	`conf`	A Bayesian approach for extreme learning machine-based subspace learning. EUSIPCO Alexandros Iosifidis, Moncef Gabbouj
2015	—	`conf`	Class-Specific Nonlinear Projections Using Class-Specific Kernel Spaces. TrustCom/BigDataSE/ISPA (2) Alexandros Iosifidis, Moncef Gabbouj, Petri Pekki
2015	J	`jnl`	Class-Specific Reference Discriminant Analysis With Application in Human Behavior Analysis. IEEE Trans. Hum. Mach. Syst. Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas
2015	—	`conf`	Class-specific nonlinear subspace learning based on optimized class representation. EUSIPCO Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas
2015	J	`jnl`	Distance-based human action recognition using optimized class representations. Neurocomputing Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas
2015	J	`jnl`	DropELM: Fast neural network regularization with Dropout and DropConnect. Neurocomputing Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas
2015	Misc	`conf`	Enhancing ELM-based Facial Image Classification by Exploiting Multiple Facial Views. ICCS Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas
2015	Misc	`conf`	Enhancing class discrimination in Kernel Discriminant Analysis. ICASSP Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas
2015	Misc	`conf`	Exploiting subclass information in one-class support vector machine for video summarization. ICASSP Vasileios Mygdalis, Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas
2015	J	`jnl`	Extreme learning machine based supervised subspace learning. Neurocomputing Alexandros Iosifidis
2015	Misc	`conf`	Fast Kernel Matrix Computation for Big Data Clustering. ICCS Nikolaos Tsapanos, Anastasios Tefas, Nikolaos Nikolaidis, Alexandros Iosifidis, Ioannis Pitas
2015	J	`jnl`	Human Action Recognition Based on Multi-View Regularized Extreme Learning Machine. Int. J. Artif. Intell. Tools Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas
2015	—	`conf`	Large-Scale Classification by an Approximate Least Squares One-Class Support Vector Machine Ensemble. TrustCom/BigDataSE/ISPA (2) Vasileios Mygdalis, Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas
2015	B	`conf`	Large-scale nonlinear facial image classification based on approximate kernel Extreme Learning Machine. ICIP Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas
2015	B	`conf`	Merging linear discriminant analysis with Bag of Words model for human action recognition. ICIP Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas
2015	—	`conf`	Nearest Class Vector Classification for Large-Scale Learning Problems. TrustCom/BigDataSE/ISPA (2) Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas
2015	J	`jnl`	On the kernel Extreme Learning Machine classifier. Pattern Recognit. Lett. Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas
2015	J	`jnl`	On the kernel Extreme Learning Machine speedup. Pattern Recognit. Lett. Alexandros Iosifidis, Moncef Gabbouj
2015	—	`conf`	Regularized Extreme Learning Machine for Large-scale Media Content Analysis. INNS Conference on Big Data Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas
2015	J	`jnl`	Sparse extreme learning machine classifier exploiting intrinsic graphs. Pattern Recognit. Lett. Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas
2015	J	`jnl`	The MOBISERV-AIIA Eating and Drinking multi-view database for vision-based assisted living. J. Inf. Hiding Multim. Signal Process. Alexandros Iosifidis, Ermioni Marami, Anastasios Tefas, Ioannis Pitas
2015	B	`conf`	Visual voice activity detection based on spatiotemporal information and bag of words. ICIP Foteini Patrona, Alexandros Iosifidis, Anastasios Tefas, Nikolaos Nikolaidis, Ioannis Pitas
2014	—	`conf`	Computational Intelligence Approaches for Digital Media Analysis and Description. ECC (2) Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas
2014	J	`jnl`	Discriminant Bag of Words based representation for human action recognition. Pattern Recognit. Lett. Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas
2014	—	`conf`	Exploiting Local Class Information in Extreme Learning Machine. IJCCI (NCTA) Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas
2014	B	`conf`	Human action recognition based on bag of features and multi-view neural networks. ICIP Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas
2014	—	`conf`	Human action recognition in stereoscopic videos based on bag of features and disparity pyramids. EUSIPCO Alexandros Iosifidis, Anastasios Tefas, Nikos Nikolaidis, Ioannis Pitas
2014	J	`jnl`	Kernel Reference Discriminant Analysis. Pattern Recognit. Lett. Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas
2014	Misc	`conf`	Minimum Variance Extreme Learning Machine for human action recognition. ICASSP Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas
2014	—	`conf`	Multi-view Regularized Extreme Learning Machine for Human Action Recognition. SETN Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas
2014	—	`conf`	Person de-identification in activity videos. MIPRO Marina Ivasic-Kos, Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas
2014	J	`jnl`	Regularized extreme learning machine for multi-view semi-supervised action recognition. Neurocomputing Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas
2014	B	`conf`	Semi-supervised Classification of Human Actions Based on Neural Networks. ICPR Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas
2014	—	`conf`	Single-Hidden Layer Feedforward Neual Network Training Using Class Geometric Information. IJCCI (Selected Papers) Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas
2014	—	`conf`	Stereoscopic video description for human action recognition. CIMSIVP Ioannis Mademlis, Alexandros Iosifidis, Anastasios Tefas, Nikos Nikolaidis, Ioannis Pitas
2014	—	`conf`	Video summarization based on Subclass Support Vector Data Description. CIES Vasileios Mygdalis, Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas
2013	B	`conf`	Active classification for human action recognition. ICIP Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas
2013	—	`conf`	Dynamic action classification based on iterative data selection and Feedforward Neural networks. EUSIPCO Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas
2013	J	`jnl`	Dynamic action recognition based on dynemes and Extreme Learning Machine. Pattern Recognit. Lett. Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas
2013	J	`jnl`	Learning sparse representations for view-independent human action recognition based on fuzzy distances. Neurocomputing Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas
2013	J	`jnl`	Minimum Class Variance Extreme Learning Machine for Human Action Recognition. IEEE Trans. Circuits Syst. Video Technol. Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas
2013	—	`conf`	Multi-view Human Action Recognition: A Survey. IIH-MSP Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas
2013	J	`jnl`	Multi-view action recognition based on action volumes, fuzzy distances and cluster discriminant analysis. Signal Process. Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas
2013	J	`jnl`	Multidimensional Sequence Classification Based on Fuzzy Distances and Discriminant Analysis. IEEE Trans. Knowl. Data Eng. Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas
2013	—	`conf`	Neural Networks for Digital Media Analysis and Description. EANN (1) Anastasios Tefas, Alexandros Iosifidis, Ioannis Pitas
2013	J	`jnl`	On the Optimal Class Representation in Linear Discriminant Analysis. IEEE Trans. Neural Networks Learn. Syst. Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas
2013	—	`conf`	Person identification from actions based on Artificial Neural Networks. CIBIM Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas
2013	—	`conf`	Person identification from actions based on dynemes and discriminant learning. IWBF Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas
2013	—	`conf`	Representative Class Vector Clustering-Based Discriminant Analysis. IIH-MSP Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas
2013	—	`conf`	View-independent human action recognition based on multi-view action images and discriminant learning. IVMSP Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas
2013	—	`—`	Τεχνικές μηχανικής όρασης και αναγνώρισης προτύπων για την αλληλεπίδραση ανθρώπου-υπολογιστή Alexandros Iosifidis
2012	J	`jnl`	Activity-Based Person Identification Using Fuzzy Representation and Discriminant Learning. IEEE Trans. Inf. Forensics Secur. Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas
2012	B	`conf`	Discriminant action representation for view-invariant person identification. ICIP Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas
2012	Misc	`conf`	Eating and drinking activity recognition based on discriminant analysis of fuzzy distances and activity volumes. ICASSP Alexandros Iosifidis, Ermioni Marami, Anastasios Tefas, Ioannis Pitas
2012	—	`conf`	Multi-view human action recognition under occlusion based on Fuzzy distances and neural networks. EUSIPCO Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas
2012	J	`jnl`	Multi-view human movement recognition based on fuzzy distances and linear discriminant analysis. Comput. Vis. Image Underst. Alexandros Iosifidis, Anastasios Tefas, Nikolaos Nikolaidis, Ioannis Pitas
2012	B	`conf`	Neural representation and learning for multi-view human action recognition. IJCNN Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas
2012	J	`jnl`	View-Invariant Action Recognition Based on Artificial Neural Networks. IEEE Trans. Neural Networks Learn. Syst. Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas
2011	—	`conf`	Learning Human Identity Using View-Invariant Multi-view Movement Representation. BIOID Alexandros Iosifidis, Anastasios Tefas, Nikolaos Nikolaidis, Ioannis Pitas
2011	—	`conf`	Person specific activity recognition using fuzzy learning and Discriminant Analysis. EUSIPCO Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas
2010	C	`conf`	Movement recognition exploiting multi-view information. MMSP Alexandros Iosifidis, Nikos Nikolaidis, Ioannis Pitas