| 2026 | Mobisys | Profiling-Driven Adaptive Distributed Transformer Inference on Embedded Edge Deployment. | Muhammad Azlan Qazi, Alexandros Iosifidis, Qi Zhang |
| 2025 | GLOBECOM | Delay Bound Relaxation with Deep Learning-based Haptic Estimation for Tactile Internet. | Georgios Kokkinis, Alexandros Iosifidis, Qi Zhang |
| 2024 | CVPR | MMA-DFER: MultiModal Adaptation of unimodal models for Dynamic Facial Expression Recognition in-the-wild. | Kateryna Chumachenko, Alexandros Iosifidis, Moncef Gabbouj |
| 2024 | ICASSP | Accurate Gigapixel Crowd Counting by Iterative Zooming and Refinement. | Arian Bakhtiarnia, Qi Zhang, Alexandros Iosifidis |
| 2024 | ICIP | Uimt: A Framework for Improving Unimodal Inference via Multimodal Training. | Kateryna Chumachenko, Alexandros Iosifidis, Moncef Gabbouj |
| 2024 | ICIP | MAVAD: Audio-Visual Dataset and Method for Anomaly Detection in Traffic Videos. | Blazej Leporowski, Arian Bakhtiarnia, Nicole Bonnici, Adrian Muscat, Luca Zanella, Yiming Wang, Alexandros Iosifidis |
| 2024 | ICIP | Uncertainty-Aware AB3DMOT by Variational 3D Object Detection. | Illia Oleksiienko, Alexandros Iosifidis |
| 2024 | IJCNN | Superpixel-based Anomaly Detection for Irregular Textures with a Focus on Pixel-level Accuracy. | Mehdi Rafiei, Toby P. Breckon, Alexandros Iosifidis |
| 2023 | AAAI | WLD-Reg: A Data-Dependent Within-Layer Diversity Regularizer. | Firas Laakom, Jenni Raitoharju, Alexandros Iosifidis, Moncef Gabbouj |
| 2023 | GLOBECOM | Spatiotemporal Attention-based Semantic Compression for Real-time Video Recognition. | Nan Li, Mehdi Bennis, Alexandros Iosifidis, Qi Zhang |
| 2023 | ICASSP | Dynamic Split Computing for Efficient Deep EDGE Intelligence. | Arian Bakhtiarnia, Nemanja Milosevic, Qi Zhang, Dragana Bajovic, Alexandros Iosifidis |
| 2023 | ICLR | Continual Transformers: Redundancy-Free Attention for Online Inference. | Lukas Hedegaard, Arian Bakhtiarnia, Alexandros Iosifidis |
| 2023 | IJCNN | PromptMix: Text-to-image diffusion models enhance the performance of lightweight networks. | Arian Bakhtiarnia, Qi Zhang, Alexandros Iosifidis |
| 2023 | IJCNN | Class-Specific Variational Auto-Encoder for Content-Based Image Retrieval. | Mehdi Rafiei, Alexandros Iosifidis |
| 2023 | INDIN | Recognition of Defective Mineral Wool Using Pruned ResNet Models. | Mehdi Rafiei, Dat Thanh Tran, Alexandros Iosifidis |
| 2023 | INDIN | Improving Online non-destructive Moisture Content Estimation using Data Augmentation by Feature Space Interpolation with Variational Autoencoders. | Christian Remi Wewer, Alexandros Iosifidis |
| 2022 | ECCV | Continual 3D Convolutional Neural Networks for Real-time Processing of Videos. | Lukas Hedegaard, Alexandros Iosifidis |
| 2022 | ECCV | Continual Inference: A Library for Efficient Online Inference with Deep Neural Networks in PyTorch. | Lukas Hedegaard, Alexandros Iosifidis |
| 2022 | GLOBECOM | Graph Reinforcement Learning-based CNN Inference Offloading in Dynamic Edge Computing. | Nan Li, Alexandros Iosifidis, Qi Zhang |
| 2022 | ICPR | Self-attention fusion for audiovisual emotion recognition with incomplete data. | Kateryna Chumachenko, Alexandros Iosifidis, Moncef Gabbouj |
| 2022 | IJCNN | Generalized Reference Kernel for One-class Classification. | Jenni Raitoharju, Alexandros Iosifidis |
| 2022 | INDIN | Product Quality Control in Assembly Machine under Data Restricted Settings. | Fatemeh Kakavandi, Roger De Reus, Cludio Gomes, Negar Heidari, Alexandros Iosifidis, Peter Gorm Larsen |
| 2022 | IROS | OpenDR: An Open Toolkit for Enabling High Performance, Low Footprint Deep Learning for Robotics. | 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 |
| 2021 | BMVC | Multi-Exit Vision Transformer for Dynamic Inference. | Arian Bakhtiarnia, Qi Zhang, Alexandros Iosifidis |
| 2021 | BMVC | ECINN: Efficient Counterfactuals from Invertible Neural Networks. | Frederik Hvilshj, Alexandros Iosifidis, Ira Assent |
| 2021 | BMVC | Learning to ignore: rethinking attention in CNNs. | Firas Laakom, Kateryna Chumachenko, Jenni Raitoharju, Alexandros Iosifidis, Moncef Gabbouj |
| 2021 | BMVC | Robust channel-wise illumination estimation. | Firas Laakom, Jenni Raitoharju, Jarno Nikkanen, Alexandros Iosifidis, Moncef Gabbouj |
| 2021 | ICASSP | Ensembling Object Detectors for Image and Video Data Analysis. | Kateryna Chumachenko, Jenni Raitoharju, Alexandros Iosifidis, Moncef Gabbouj |
| 2021 | ICASSP | Augmenting Transferred Representations for Stock Classification. | Elizabeth Fons, Paula Dawson, Xiao-Jun Zeng, John A. Keane, Alexandros Iosifidis |
| 2021 | ICASSP | Progressive Spatio-Temporal Graph Convolutional Network for Skeleton-Based Human Action Recognition. | Negar Heidari, Alexandros Iosifidis |
| 2021 | IJCNN | Improving the Accuracy of Early Exits in Multi-Exit Architectures via Curriculum Learning. | Arian Bakhtiarnia, Qi Zhang, Alexandros Iosifidis |
| 2021 | IJCNN | On the spatial attention in spatio-temporal graph convolutional networks for skeleton-based human action recognition. | Negar Heidari, Alexandros Iosifidis |
| 2021 | IJCNN | Monte Carlo Dropout Ensembles for Robust Illumination Estimation. | Firas Laakom, Jenni Raitoharju, Alexandros Iosifidis, Jarno Nikkanen, Moncef Gabbouj |
| 2021 | IJCNN | Speech Command Recognition in Computationally Constrained Environments with a Quadratic Self-Organized Operational Layer. | Mohammad Soltanian, Junaid Malik, Jenni Raitoharju, Alexandros Iosifidis, Serkan Kiranyaz, Moncef Gabbouj |
| 2021 | MMSP | Progressive Spatio-Temporal Bilinear Network with Monte Carlo Dropout for Landmark-based Facial Expression Recognition with Uncertainty Estimation. | Negar Heidari, Alexandros Iosifidis |
| 2021 | MMSP | Automatic Main Character Recognition for Photographic Studies. | Mert Seker, Anssi Mnnist, Alexandros Iosifidis, Jenni Raitoharju |
| 2020 | ICASSP | Adaptive Normalization for Forecasting Limit Order Book Data Using Convolutional Neural Networks. | Nikolaos Passalis, Anastasios Tefas, Juho Kanniainen, Moncef Gabbouj, Alexandros Iosifidis |
| 2020 | ICASSP | Text-To-Image Synthesis Method Evaluation Based On Visual Patterns. | William Lund Sommer, Alexandros Iosifidis |
| 2020 | ICIP | Incremental Fast Subclass Discriminant Analysis. | Kateryna Chumachenko, Jenni Raitoharju, Moncef Gabbouj, Alexandros Iosifidis |
| 2020 | ICIP | Probabilistic Color Constancy. | Firas Laakom, Jenni Raitoharju, Alexandros Iosifidis, Uygar Tuna, Jarno Nikkanen, Moncef Gabbouj |
| 2020 | ICIP | Subset Sampling for Progressive Neural Network Learning. | Dat Thanh Tran, Moncef Gabbouj, Alexandros Iosifidis |
| 2020 | ICPR | Temporal Attention-Augmented Graph Convolutional Network for Efficient Skeleton-Based Human Action Recognition. | Negar Heidari, Alexandros Iosifidis |
| 2020 | ICPR | Human Action Recognition Using Recurrent Bag-of-Features Pooling. | Marios Krestenitis, Nikolaos Passalis, Alexandros Iosifidis, Moncef Gabbouj, Anastasios Tefas |
| 2020 | ICPR | Supervised Domain Adaptation using Graph Embedding. | Lukas Hedegaard Morsing, Omar Ali Sheikh-Omar, Alexandros Iosifidis |
| 2020 | ICPR | Not all domains are equally complex: Adaptive Multi-Domain Learning. | Ali Senhaji, Jenni Raitoharju, Moncef Gabbouj, Alexandros Iosifidis |
| 2020 | ICPR | Data Normalization for Bilinear Structures in High-Frequency Financial Time-series. | Dat Thanh Tran, Juho Kanniainen, Moncef Gabbouj, Alexandros Iosifidis |
| 2019 | ICASSP | Deep Temporal Logistic Bag-of-features for Forecasting High Frequency Limit Order Book Time Series. | Nikolaos Passalis, Anastasios Tefas, Juho Kanniainen, Moncef Gabbouj, Alexandros Iosifidis |
| 2019 | ICASSP | Learning to Rank: A Progressive Neural Network Learning Approach. | Dat Thanh Tran, Alexandros Iosifidis |
| 2019 | ICIP | Class-Based Variational Representation Learning For Robust Image Retrieval. | Nikolaos Passalis, Anastasios Tefas, Alexandros Iosifidis, Moncef Gabbouj |
| 2019 | ICIP | Knowledge Transfer for Face Verification Using Heterogeneous Generalized Operational Perceptrons. | Dat Thanh Tran, Serkan Kiranyaz, Moncef Gabbouj, Alexandros Iosifidis |
| 2018 | ICIP | Acceleration Approaches for Big Data Analysis. | Anton Muravev, Dat Thanh Tran, Moncef Gabbouj, Alexandros Iosifidis, Serkan Kiranyaz |
| 2018 | ICIP | Weighted Linear Discriminant Analysis Based on Class Saliency Information. | Lei Xu, Alexandros Iosifidis, Moncef Gabbouj |
| 2018 | ICPR | Subspace Support Vector Data Description. | Fahad Sohrab, Jenni Raitoharju, Moncef Gabbouj, Alexandros Iosifidis |
| 2017 | IJCNN | Class-specific kernel discriminant analysis based on Cholesky decomposition. | Alexandros Iosifidis, Moncef Gabbouj |
| 2017 | IJCNN | Generalized model of biological neural networks: Progressive operational perceptrons. | Serkan Kiranyaz, Turker Ince, Alexandros Iosifidis, Moncef Gabbouj |
| 2016 | ICASSP | Supervised subspace learning based on deep randomized networks. | Alexandros Iosifidis, Moncef Gabbouj |
| 2016 | ICIP | Combining multi-class maximum margin classification with linear discriminant analysis for human action recognition. | Alexandros Iosifidis, Moncef Gabbouj |
| 2016 | ICIP | One class classification applied in facial image analysis. | Vasileios Mygdalis, Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas |
| 2016 | ICPR | Salient object segmentation based on linearly combined affinity graphs. | aglar Aytekin, Alexandros Iosifidis, Serkan Kiranyaz, Moncef Gabbouj |
| 2016 | ICPR | Data Enrichment in Fine-Grained Classification of Aquatic Macroinvertebrates. | Jenni Raitoharju, Ekaterina Riabchenko, Kristian Meissner, Iftikhar Ahmad, Alexandros Iosifidis, Moncef Gabbouj, Serkan Kiranyaz |
| 2016 | ICPR | Learned vs. engineered features for fine-grained classification of aquatic macroinvertebrates. | Ekaterina Riabchenko, Kristian Meissner, Iftikhar Ahmad, Alexandros Iosifidis, Ville Tirronen, Moncef Gabbouj, Serkan Kiranyaz |
| 2016 | ICPR | Object proposals using CNN-based edge filtering. | Muhammad-Adeel Waris, Alexandros Iosifidis, Moncef Gabbouj |
| 2016 | MMSP | Laplacian one class extreme learning machines for human action recognition. | Vasileios Mygdalis, Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas |
| 2016 | VCIP | Hierarchical class-specific kernel discriminant analysis for face verification. | Alexandros Iosifidis, Moncef Gabbouj |
| 2015 | ICASSP | Enhancing class discrimination in Kernel Discriminant Analysis. | Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas |
| 2015 | ICASSP | Exploiting subclass information in one-class support vector machine for video summarization. | Vasileios Mygdalis, Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas |
| 2015 | ICCS | Enhancing ELM-based Facial Image Classification by Exploiting Multiple Facial Views. | Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas |
| 2015 | ICCS | Fast Kernel Matrix Computation for Big Data Clustering. | Nikolaos Tsapanos, Anastasios Tefas, Nikolaos Nikolaidis, Alexandros Iosifidis, Ioannis Pitas |
| 2015 | ICIP | Merging linear discriminant analysis with Bag of Words model for human action recognition. | Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas |
| 2015 | ICIP | Large-scale nonlinear facial image classification based on approximate kernel Extreme Learning Machine. | Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas |
| 2015 | ICIP | Visual voice activity detection based on spatiotemporal information and bag of words. | Foteini Patrona, Alexandros Iosifidis, Anastasios Tefas, Nikolaos Nikolaidis, Ioannis Pitas |
| 2015 | TrustCom | Class-Specific Nonlinear Projections Using Class-Specific Kernel Spaces. | Alexandros Iosifidis, Moncef Gabbouj, Petri Pekki |
| 2015 | TrustCom | Nearest Class Vector Classification for Large-Scale Learning Problems. | Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas |
| 2015 | TrustCom | Large-Scale Classification by an Approximate Least Squares One-Class Support Vector Machine Ensemble. | Vasileios Mygdalis, Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas |
| 2014 | ICASSP | Minimum Variance Extreme Learning Machine for human action recognition. | Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas |
| 2014 | ICIP | Human action recognition based on bag of features and multi-view neural networks. | Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas |
| 2014 | ICPR | Semi-supervised Classification of Human Actions Based on Neural Networks. | Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas |
| 2014 | IJCCI | Exploiting Local Class Information in Extreme Learning Machine. | Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas |
| 2014 | IJCCI | Single-Hidden Layer Feedforward Neual Network Training Using Class Geometric Information. | Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas |
| 2013 | EANN | Neural Networks for Digital Media Analysis and Description. | Anastasios Tefas, Alexandros Iosifidis, Ioannis Pitas |
| 2013 | ICIP | Active classification for human action recognition. | Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas |
| 2012 | ICASSP | Eating and drinking activity recognition based on discriminant analysis of fuzzy distances and activity volumes. | Alexandros Iosifidis, Ermioni Marami, Anastasios Tefas, Ioannis Pitas |
| 2012 | ICIP | Discriminant action representation for view-invariant person identification. | Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas |
| 2012 | IJCNN | Neural representation and learning for multi-view human action recognition. | Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas |
| 2010 | MMSP | Movement recognition exploiting multi-view information. | Alexandros Iosifidis, Nikos Nikolaidis, Ioannis Pitas |