| 2026 | ICPR | Optics-Informed Long Short Term Memory Cells. | Loukia Avramelou, Manos Kirtas, Nikolaos Passalis, Nikolaos Pleros, Anastasios Tefas |
| 2026 | ISCAS | An Isomorphic Transformation for Hardware Implemented Non-negative Neural Networks. | Manos Kirtas, Nikolaos Passalis, Nikos Pleros, Anastasios Tefas |
| 2026 | ISCAS | Single-pass Anchor-based Uncertainty Quantification in Deep Neural Networks. | Dimitrios Spanos, Nikolaos Passalis, Anastasios Tefas |
| 2025 | IJCNN | Single Pass Uncertainty Estimation in Q-Learning via Dropout Distillation. | Nikolaos Kaparinos, Nikolaos Passalis, Anastasios Tefas |
| 2025 | IJCNN | Multiplicative Stochastic Gradient Descent for fast and robust deep learning training. | Manos Kirtas, Nikolaos Passalis, Anastasios Tefas |
| 2024 | ICPR | Large Models in Dialogue for Active Perception and Anomaly Detection. | Tzoulio Chamiti, Nikolaos Passalis, Anastasios Tefas |
| 2024 | ICPR | Plasticity Driven Knowledge Transfer for Continual Deep Reinforcement Learning in Financial Trading. | Dimitrios Katsikas, Nikolaos Passalis, Anastasios Tefas |
| 2024 | ICPR | Multiplicative RMSprop Using Gradient Normalization for Learning Acceleration. | Manos Kirtas, Nikolaos Passalis, Anastasios Tefas |
| 2024 | ICPR | Continual Updates of Face Embeddings Using Deep Reinforcement Learning. | Pavlos Tosidis, Nikolaos Passalis, Anastasios Tefas |
| 2023 | ICASSP | Cryptosentiment: A Dataset and Baseline for Sentiment-Aware Deep Reinforcement Learning for Financial Trading. | Loukia Avramelou, Paraskevi Nousi, Nikolaos Passalis, Stavros Doropoulos, Anastasios Tefas |
| 2023 | ICIP | Enabling High-Resolution Pose Estimation in Real Time Using Active Perception. | Theodoros Manousis, Nikolaos Passalis, Anastasios Tefas |
| 2023 | IJCCI | Deep Learning for Active Robotic Perception. | Nikolaos Passalis, Pavlos Tosidis, Theodoros Manousis, Anastasios Tefas |
| 2023 | MMSP | ActiveFace: A Synthetic Active Perception Dataset for Face Recognition. | Charalampos Georgiadis, Nikolaos Passalis, Nikos Nikolaidis |
| 2023 | MMSP | Leveraging Active and Continual Learning for Improving Deep Face Recognition in-the-Wild. | Pavlos Tosidis, Nikolaos Passalis, Anastasios Tefas |
| 2022 | ICASSP | Sentiment-Aware Distillation for Bitcoin Trend Forecasting Under Partial Observability. | Georgios Panagiotatos, Nikolaos Passalis, Avraam Tsantekidis, Anastasios Tefas |
| 2022 | ICIP | Bag-Of-Features-Based Knowledge Distillation For Lightweight Convolutional Neural Networks. | Alexandros Chariton, Nikolaos Passalis, Anastasios Tefas |
| 2022 | INISTA | Online Knowledge Distillation for Financial Timeseries Forecasting. | Pavlos Floratos, Avraam Tsantekidis, Nikolaos Passalis, Anastasios Tefas |
| 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 | EANN | Efficient Realistic Data Generation Framework Leveraging Deep Learning-Based Human Digitization. | Charalampos Symeonidis, Paraskevi Nousi, Pavlos Tosidis, Konstantinos Tsampazis, Nikolaos Passalis, Anastasios Tefas, Nikos Nikolaidis |
| 2021 | ICIP | Pseudo-Active Vision For Improving Deep Visual Perception Through Neural Sensory Refinement. | Nikolaos Passalis, Anastasios Tefas |
| 2020 | CVPR | Heterogeneous Knowledge Distillation Using Information Flow Modeling. | Nikolaos Passalis, Maria Tzelepi, Anastasios Tefas |
| 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 | ICIP | Different Color Spaces In Deep Learning-Based Water Segmentation For Autonomous Marine Operations. | Jussi Taipalmaa, Nikolaos Passalis, Jenni Raitoharju |
| 2020 | ICPR | Improving Visual Question Answering using Active Perception on Static Images. | Theodoros Bozinis, Nikolaos Passalis, Anastasios Tefas |
| 2020 | ICPR | Human Action Recognition Using Recurrent Bag-of-Features Pooling. | Marios Krestenitis, Nikolaos Passalis, Alexandros Iosifidis, Moncef Gabbouj, Anastasios Tefas |
| 2020 | ICPR | Leveraging Quadratic Spherical Mutual Information Hashing for Fast Image Retrieval. | Nikolaos Passalis, Anastasios Tefas |
| 2020 | ICPR | Efficient Online Subclass Knowledge Distillation for Image Classification. | Maria Tzelepi, Nikolaos Passalis, Anastasios Tefas |
| 2020 | ISCAS | Adaptive Initialization for Recurrent Photonic Networks using Sigmoidal Activations. | Nikolaos Passalis, George Mourgias-Alexandris, Nikos Pleros, Anastasios Tefas |
| 2020 | ISCAS | Multilayer Probabilistic Knowledge Transfer for Learning Image Representations. | Nikolaos Passalis, Maria Tzelepi, Anastasios Tefas |
| 2020 | MMSP | Efficient Adaptive Inference Leveraging Bag-of-Features-based Early Exits. | Nikolaos Passalis, Jenni Raitoharju, Moncef Gabbouj, Anastasios Tefas |
| 2020 | MMSP | Leveraging Active Perception for Improving Embedding-based Deep Face Recognition. | Nikolaos Passalis, Anastasios Tefas |
| 2019 | ICASSP | Variance Preserving Initialization for Training Deep Neuromorphic Photonic Networks with Sinusoidal Activations. | Nikolaos Passalis, George Mourgias-Alexandris, Apostolos Tsakyridis, Nikos Pleros, Anastasios Tefas |
| 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 | Deep Reinforcement Learning for Financial Trading Using Price Trailing. | Konstantinos Saitas Zarkias, Nikolaos Passalis, Avraam Tsantekidis, Anastasios Tefas |
| 2019 | ICIP | Adaptive Inference Using Hierarchical Convolutional Bag-of-Features for Low-Power Embedded Platforms. | Nikolaos Passalis, Jenni Raitoharju, Anastasios Tefas, Moncef Gabbouj |
| 2019 | ICIP | Class-Based Variational Representation Learning For Robust Image Retrieval. | Nikolaos Passalis, Anastasios Tefas, Alexandros Iosifidis, Moncef Gabbouj |
| 2018 | ECCV | Decoding Generic Visual Representations from Human Brain Activity Using Machine Learning. | Angeliki Papadimitriou, Nikolaos Passalis, Anastasios Tefas |
| 2018 | ECCV | Learning Deep Representations with Probabilistic Knowledge Transfer. | Nikolaos Passalis, Anastasios Tefas |
| 2018 | ECCV | Fast, Visual and Interactive Semi-supervised Dimensionality Reduction. | Dimitris Spathis, Nikolaos Passalis, Anastasios Tefas |
| 2018 | ICIP | Accelerating Similarity-Based Discriminant Analysis Using Class-Specific Prototypes. | Nikolaos Passalis, Anastasios Tefas |
| 2018 | ICPR | Neural Network Knowledge Transfer using Unsupervised Similarity Matching. | Nikolaos Passalis, Anastasios Tefas |
| 2018 | ISCAS | Visual Question Answering using Explicit Visual Attention. | Vasileios Lioutas, Nikolaos Passalis, Anastasios Tefas |
| 2018 | ISCAS | Efficient Camera Control using 2D Visual Information for Unmanned Aerial Vehicle-based Cinematography. | Nikolaos Passalis, Anastasios Tefas, Ioannis Pitas |
| 2017 | EANN | Improving Face Pose Estimation Using Long-Term Temporal Averaging for Stochastic Optimization. | Nikolaos Passalis, Anastasios Tefas |
| 2017 | ICCV | Learning Bag-of-Features Pooling for Deep Convolutional Neural Networks. | Nikolaos Passalis, Anastasios Tefas |
| 2016 | ICPR | Bag of Embedded Words learning for text retrieval. | Nikolaos Passalis, Anastasios Tefas |
| 2015 | DaWaK | MultiSpot: Spotting Sentiments with Semantic Aware Multilevel Cascaded Analysis. | Despoina Chatzakou, Nikolaos Passalis, Athena Vakali |