MultiSpot: Spotting Sentiments with Semantic Aware Multilevel Cascaded Analysis. - Despoina Chatzakou; Nikolaos Passalis; Athena Vakali (DaWaK, 2015)

Bag of Embedded Words learning for text retrieval. - Nikolaos Passalis; Anastasios Tefas (ICPR, 2016)

Spatial Bag of Features Learning for Large Scale Face Image Retrieval. - Nikolaos Passalis; Anastasios Tefas (INNS Conference on Big Data, 2016)

Spectral Clustering using Optimized Bag-of-Features. - Nikolaos Passalis; Anastasios Tefas (SETN, 2016)

Entropy Optimized Feature-Based Bag-of-Words Representation for Information Retrieval. - Nikolaos Passalis; Anastasios Tefas (IEEE Trans. Knowl. Data Eng., 2016)

Improving Face Pose Estimation Using Long-Term Temporal Averaging for Stochastic Optimization. - Nikolaos Passalis; Anastasios Tefas (EANN, 2017)

Concept detection and face pose estimation using lightweight convolutional neural networks for steering drone video shooting. - Nikolaos Passalis; Anastasios Tefas (EUSIPCO, 2017)

Time-series classification using neural Bag-of-Features. - Nikolaos Passalis; Avraam Tsantekidis; Anastasios Tefas; Juho Kanniainen; Moncef Gabbouj; Alexandros Iosifidis (EUSIPCO, 2017)

Using deep learning to detect price change indications in financial markets. - Avraam Tsantekidis; Nikolaos Passalis; Anastasios Tefas; Juho Kanniainen; Moncef Gabbouj; Alexandros Iosifidis (EUSIPCO, 2017)

Learning Bag-of-Features Pooling for Deep Convolutional Neural Networks. - Nikolaos Passalis; Anastasios Tefas (ICCV, 2017)

Forecasting Stock Prices from the Limit Order Book Using Convolutional Neural Networks. - Avraam Tsantekidis; Nikolaos Passalis; Anastasios Tefas; Juho Kanniainen; Moncef Gabbouj; Alexandros Iosifidis (CBI (1), 2017)

Neural Bag-of-Features learning. - Nikolaos Passalis; Anastasios Tefas (Pattern Recognit., 2017)

Learning Neural Bag-of-Features for Large-Scale Image Retrieval. - Nikolaos Passalis; Anastasios Tefas (IEEE Trans. Syst. Man Cybern. Syst., 2017)

Deep reinforcement learning for frontal view person shooting using drones. - Nikolaos Passalis; Anastasios Tefas (EAIS, 2018)

Decoding Generic Visual Representations from Human Brain Activity Using Machine Learning. - Angeliki Papadimitriou; Nikolaos Passalis; Anastasios Tefas (ECCV Workshops (3), 2018)

Learning Deep Representations with Probabilistic Knowledge Transfer. - Nikolaos Passalis; Anastasios Tefas (ECCV (11), 2018)

Fast, Visual and Interactive Semi-supervised Dimensionality Reduction. - Dimitris Spathis; Nikolaos Passalis; Anastasios Tefas (ECCV Workshops (4), 2018)

Accelerating Similarity-Based Discriminant Analysis Using Class-Specific Prototypes. - Nikolaos Passalis; Anastasios Tefas (ICIP, 2018)

Neural Network Knowledge Transfer using Unsupervised Similarity Matching. - Nikolaos Passalis; Anastasios Tefas (ICPR, 2018)

Visual Question Answering using Explicit Visual Attention. - Vasileios Lioutas; Nikolaos Passalis; Anastasios Tefas (ISCAS, 2018)

Efficient Camera Control using 2D Visual Information for Unmanned Aerial Vehicle-based Cinematography. - Nikolaos Passalis; Anastasios Tefas; Ioannis Pitas (ISCAS, 2018)

Learning Discriminative Representations for Big Data Clustering Using Similarity-Based Dimensionality Reduction. - Nikolaos Passalis; Anastasios Tefas (IVMSP, 2018)

Probabilistic Knowledge Transfer for Deep Representation Learning. - Nikolaos Passalis; Anastasios Tefas (CoRR, 2018)

Machine Learning for Forecasting Mid Price Movement using Limit Order Book Data. - Paraskevi Nousi; Avraam Tsantekidis; Nikolaos Passalis; Adamantios Ntakaris; Juho Kanniainen; Anastasios Tefas; Moncef Gabbouj; Alexandros Iosifidis (CoRR, 2018)

Style Decomposition for Improved Neural Style Transfer. - Paraskevas Pegios; Nikolaos Passalis; Anastasios Tefas (CoRR, 2018)

PySEF: A python library for similarity-based dimensionality reduction. - Nikolaos Passalis; Anastasios Tefas (Knowl. Based Syst., 2018)

Learning bag-of-embedded-words representations for textual information retrieval. - Nikolaos Passalis; Anastasios Tefas (Pattern Recognit., 2018)

Explicit ensemble attention learning for improving visual question answering. - Vasileios Lioutas; Nikolaos Passalis; Anastasios Tefas (Pattern Recognit. Lett., 2018)

Information Clustering Using Manifold-Based Optimization of the Bag-of-Features Representation. - Nikolaos Passalis; Anastasios Tefas (IEEE Trans. Cybern., 2018)

Dimensionality Reduction Using Similarity-Induced Embeddings. - Nikolaos Passalis; Anastasios Tefas (IEEE Trans. Neural Networks Learn. Syst., 2018)

Deep learning methods for data analysis - Nikolaos Passalis (2018)

Curriculum-based Teacher Ensemble for Robust Neural Network Distillation. - Georgios Panagiotatos; Nikolaos Passalis; Alexandros Iosifidis; Moncef Gabbouj; Anastasios Tefas (EUSIPCO, 2019)

Reversible Privacy Preservation using Multi-level Encryption and Compressive Sensing. - Mehmet Yamaç; Mete Ahishali; Nikolaos Passalis; Jenni Raitoharju; Bülent Sankur; Moncef Gabbouj (EUSIPCO, 2019)

Variance Preserving Initialization for Training Deep Neuromorphic Photonic Networks with Sinusoidal Activations. - Nikolaos Passalis; George Mourgias-Alexandris; Apostolos Tsakyridis; Nikos Pleros; Anastasios Tefas (ICASSP, 2019)

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 (ICASSP, 2019)

Deep Reinforcement Learning for Financial Trading Using Price Trailing. - Konstantinos Saitas Zarkias; Nikolaos Passalis; Avraam Tsantekidis; Anastasios Tefas (ICASSP, 2019)

Adaptive Inference Using Hierarchical Convolutional Bag-of-Features for Low-Power Embedded Platforms. - Nikolaos Passalis; Jenni Raitoharju; Anastasios Tefas; Moncef Gabbouj (ICIP, 2019)

Class-Based Variational Representation Learning For Robust Image Retrieval. - Nikolaos Passalis; Anastasios Tefas; Alexandros Iosifidis; Moncef Gabbouj (ICIP, 2019)

Face Verification and Recognition for Digital Forensics and Information Security. - Giuseppe Amato 001; Fabrizio Falchi; Claudio Gennaro; Fabio Valerio Massoli; Nikolaos Passalis; Anastasios Tefas; Alessandro Trivilini; Claudio Vairo (ISDFS, 2019)

High-Resolution Water Segmentation for Autonomous Unmanned Surface Vehicles: a Novel Dataset and Evaluation. - Jussi Taipalmaa; Nikolaos Passalis; Honglei Zhang; Moncef Gabbouj; Jenni Raitoharju (MLSP, 2019)

Less Is More: Deep Learning Using Subjective Annotations For Sentiment Analysis From Social Media. - Christina Tzogka; Nikolaos Passalis; Alexandros Iosifidis; Moncef Gabbouj; Anastasios Tefas (MLSP, 2019)

Experimental Demonstration of an Optical Neuron with a Logistic Sigmoid Activation Function. - George Mourgias-Alexandris; Apostolos Tsakyridis; Nikolaos Passalis; Anastasios Tefas; Nikos Pleros (OFC, 2019)

Machine Learning for Forecasting Mid-Price Movements Using Limit Order Book Data. - Paraskevi Nousi; Avraam Tsantekidis; Nikolaos Passalis; Adamantios Ntakaris; Juho Kanniainen; Anastasios Tefas; Moncef Gabbouj; Alexandros Iosifidis (IEEE Access, 2019)

Deep Supervised Hashing leveraging Quadratic Spherical Mutual Information for Content-based Image Retrieval. - Nikolaos Passalis; Anastasios Tefas (CoRR, 2019)

Deep Adaptive Input Normalization for Price Forecasting using Limit Order Book Data. - Nikolaos Passalis; Anastasios Tefas; Juho Kanniainen; Moncef Gabbouj; Alexandros Iosifidis (CoRR, 2019)

Deep reinforcement learning for controlling frontal person close-up shooting. - Nikolaos Passalis; Anastasios Tefas (Neurocomputing, 2019)

Interactive dimensionality reduction using similarity projections. - Dimitris Spathis; Nikolaos Passalis; Anastasios Tefas (Knowl. Based Syst., 2019)

Long-term temporal averaging for stochastic optimization of deep neural networks. - Nikolaos Passalis; Anastasios Tefas (Neural Comput. Appl., 2019)

Discriminative clustering using regularized subspace learning. - Nikolaos Passalis; Anastasios Tefas (Pattern Recognit., 2019)

Visual representation decoding from human brain activity using machine learning: A baseline study. - Angeliki Papadimitriou; Nikolaos Passalis; Anastasios Tefas (Pattern Recognit. Lett., 2019)

Unsupervised Knowledge Transfer Using Similarity Embeddings. - Nikolaos Passalis; Anastasios Tefas (IEEE Trans. Neural Networks Learn. Syst., 2019)

Training Lightweight Deep Convolutional Neural Networks Using Bag-of-Features Pooling. - Nikolaos Passalis; Anastasios Tefas (IEEE Trans. Neural Networks Learn. Syst., 2019)

Deep Learning Analytics. - Nikolaos Passalis; Anastasios Tefas (Machine Learning Paradigms, 2019)

Heterogeneous Knowledge Distillation Using Information Flow Modeling. - Nikolaos Passalis; Maria Tzelepi; Anastasios Tefas (CVPR, 2020)

Time-series classification with an all-optical recurrent neuron. - George Mourgias-Alexandris; Nikolaos Passalis; George Dabos; Angelina Totovic; Anastasios Tefas; Nikos Pleros (ECOC, 2020)

Robust Hypersphere-based Weight Imprinting for Few-Shot Learning. - Nikolaos Passalis; Alexandros Iosifidis; Moncef Gabbouj; Anastasios Tefas (EUSIPCO, 2020)

Training Noise-Resilient Recurrent Photonic Networks for Financial Time Series Analysis. - Nikolaos Passalis; Manos Kirtas; George Mourgias-Alexandris; George Dabos; Nikos Pleros; Anastasios Tefas (EUSIPCO, 2020)

Adaptive Normalization for Forecasting Limit Order Book Data Using Convolutional Neural Networks. - Nikolaos Passalis; Anastasios Tefas; Juho Kanniainen; Moncef Gabbouj; Alexandros Iosifidis (ICASSP, 2020)

Different Color Spaces In Deep Learning-Based Water Segmentation For Autonomous Marine Operations. - Jussi Taipalmaa; Nikolaos Passalis; Jenni Raitoharju (ICIP, 2020)

Leveraging Deep Reinforcement Learning For Active Shooting Under Open-World Setting. - A. Tzimas; Nikolaos Passalis; Anastasios Tefas (ICME, 2020)

Improving Visual Question Answering using Active Perception on Static Images. - Theodoros Bozinis; Nikolaos Passalis; Anastasios Tefas (ICPR, 2020)

Human Action Recognition Using Recurrent Bag-of-Features Pooling. - Marios Krestenitis; Nikolaos Passalis; Alexandros Iosifidis; Moncef Gabbouj; Anastasios Tefas (ICPR Workshops (5), 2020)

Leveraging Quadratic Spherical Mutual Information Hashing for Fast Image Retrieval. - Nikolaos Passalis; Anastasios Tefas (ICPR, 2020)

Efficient Online Subclass Knowledge Distillation for Image Classification. - Maria Tzelepi; Nikolaos Passalis; Anastasios Tefas (ICPR, 2020)

Deepbots: A Webots-Based Deep Reinforcement Learning Framework for Robotics. - Manos Kirtas; Konstantinos Tsampazis; Nikolaos Passalis; Anastasios Tefas (AIAI (2), 2020)

Adaptive Initialization for Recurrent Photonic Networks using Sigmoidal Activations. - Nikolaos Passalis; George Mourgias-Alexandris; Nikos Pleros; Anastasios Tefas (ISCAS, 2020)

Multilayer Probabilistic Knowledge Transfer for Learning Image Representations. - Nikolaos Passalis; Maria Tzelepi; Anastasios Tefas (ISCAS, 2020)

Improving Deep Reinforcement Learning for Financial Trading Using Neural Network Distillation. - Avraam Tsantekidis; Nikolaos Passalis; Anastasios Tefas (MLSP, 2020)

Efficient Adaptive Inference Leveraging Bag-of-Features-based Early Exits. - Nikolaos Passalis; Jenni Raitoharju; Moncef Gabbouj; Anastasios Tefas (MMSP, 2020)

Leveraging Active Perception for Improving Embedding-based Deep Face Recognition. - Nikolaos Passalis; Anastasios Tefas (MMSP, 2020)

All-Optical Recurrent Neural Network with Sigmoid Activation Function. - George Mourgias-Alexandris; George Dabos; Nikolaos Passalis; Anastasios Tefas; Angelina Totovic; Nikos Pleros (OFC, 2020)

Improving Universal Style Transfer using Sub-style Decomposition. - Paraskevas Pegios; Nikolaos Passalis; Anastasios Tefas (SETN, 2020)

Global Adaptive Input Normalization for Short-Term Electric Load Forecasting. - Nikolaos Passalis; Anastasios Tefas (SSCI, 2020)

Using Deep Learning for price prediction by exploiting stationary limit order book features. - Avraam Tsantekidis; Nikolaos Passalis; Anastasios Tefas; Juho Kanniainen; Moncef Gabbouj; Alexandros Iosifidis (Appl. Soft Comput., 2020)

AutoSOS: Towards Multi-UAV Systems Supporting Maritime Search and Rescue with Lightweight AI and Edge Computing. - Jorge Peña Queralta; Jenni Raitoharju; Tuan Nguyen Gia; Nikolaos Passalis; Tomi Westerlund (CoRR, 2020)

Continuous drone control using deep reinforcement learning for frontal view person shooting. - Nikolaos Passalis; Anastasios Tefas (Neural Comput. Appl., 2020)

Initializing photonic feed-forward neural networks using auxiliary tasks. - Nikolaos Passalis; George Mourgias-Alexandris; Nikos Pleros; Anastasios Tefas (Neural Networks, 2020)

Recurrent bag-of-features for visual information analysis. - Marios Krestenitis; Nikolaos Passalis; Alexandros Iosifidis; Moncef Gabbouj; Anastasios Tefas (Pattern Recognit., 2020)

Efficient adaptive inference for deep convolutional neural networks using hierarchical early exits. - Nikolaos Passalis; Jenni Raitoharju; Anastasios Tefas; Moncef Gabbouj (Pattern Recognit., 2020)

Variance-preserving deep metric learning for content-based image retrieval. - Nikolaos Passalis; Alexandros Iosifidis; Moncef Gabbouj; Anastasios Tefas (Pattern Recognit. Lett., 2020)

Temporal logistic neural Bag-of-Features for financial time series forecasting leveraging limit order book data. - Nikolaos Passalis; Anastasios Tefas; Juho Kanniainen; Moncef Gabbouj; Alexandros Iosifidis (Pattern Recognit. Lett., 2020)

Temporal Bag-of-Features Learning for Predicting Mid Price Movements Using High Frequency Limit Order Book Data. - Nikolaos Passalis; Anastasios Tefas; Juho Kanniainen; Moncef Gabbouj; Alexandros Iosifidis (IEEE Trans. Emerg. Top. Comput. Intell., 2020)

Bag of Color Features for Color Constancy. - Firas Laakom; Nikolaos Passalis; Jenni Raitoharju; Jarno Nikkanen; Anastasios Tefas; Alexandros Iosifidis; Moncef Gabbouj (IEEE Trans. Image Process., 2020)

Deep Adaptive Input Normalization for Time Series Forecasting. - Nikolaos Passalis; Anastasios Tefas; Juho Kanniainen; Moncef Gabbouj; Alexandros Iosifidis (IEEE Trans. Neural Networks Learn. Syst., 2020)

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 001 (EANN, 2021)

Silicon-integrated coherent neurons with 32GMAC/sec/axon compute line-rates using EAM-based input and weighting cells. - George Giamougiannis; Apostolos Tsakyridis; George Mourgias-Alexandris; Miltiadis Moralis-Pegios; Angelina Totovic; George Dabos; Nikos Passalis; Manos Kirtas; Nikos Bamiedakis; Anastasios Tefas; David Lazovsky; Nikos Pleros (ECOC, 2021)

25GMAC/sec/axon photonic neural networks with 7GHz bandwidth optics through channel response-aware training. - George Mourgias-Alexandris; Apostolos Tsakyridis; Nikolaos Passalis; Manos Kirtas; Anastasios Tefas; Teerapat Rutirawut; Frederic Y. Gardes; Nikos Pleros; Miltiadis Moralis-Pegios (ECOC, 2021)

Compute with Light: Architectures, Technologies and Training Models for Neuromorphic Photonic Circuits. - Nikos Pleros; Miltiadis Moralis-Pegios; Angelina Totovic; George Dabos; Apostolos Tsakyridis; George Giamougiannis; George Mourgias-Alexandris; Nikos Passalis; Manos Kirtas; Anastasios Tefas (ECOC, 2021)

Adaptive Inference for Face Recognition leveraging Deep Metric Learning-enabled Early Exits. - Nikolaos Passalis; Anastasios Tefas (EUSIPCO, 2021)

Pseudo-Active Vision For Improving Deep Visual Perception Through Neural Sensory Refinement. - Nikolaos Passalis; Anastasios Tefas (ICIP, 2021)

Learning Sentiment-Aware Trading Strategies for Bitcoin Leveraging Deep Learning-Based Financial News Analysis. - Nikolaos Passalis; Solon Seficha; Avraam Tsantekidis; Anastasios Tefas (AIAI, 2021)

Improving Deep Reinforcement Learning for Financial Trading Using Deep Adaptive Group-Based Normalization. - Angelos Nalmpantis; Nikolaos Passalis; Avraam Tsantekidis; Anastasios Tefas (MLSP, 2021)

A Silicon Photonic Coherent Neuron with 10GMAC/sec processing line-rate. - George Mourgias-Alexandris; Miltiadis Moralis-Pegios; Stelios Simos; George Dabos; Nikos Passalis; Manos Kirtas; Teerapat Rutirawut; Frederic Y. Gardes; Anastasios Tefas; Nikos Pleros (OFC, 2021)

deepsing: Generating sentiment-aware visual stories using cross-modal music translation. - Nikolaos Passalis; Stavros Doropoulos (Expert Syst. Appl., 2021)

Online Subclass Knowledge Distillation. - Maria Tzelepi; Nikolaos Passalis; Anastasios Tefas (Expert Syst. Appl., 2021)

Diversity-driven knowledge distillation for financial trading using Deep Reinforcement Learning. - Avraam Tsantekidis; Nikolaos Passalis; Anastasios Tefas (Neural Networks, 2021)

Deep adaptive group-based input normalization for financial trading. - Angelos Nalmpantis; Nikolaos Passalis; Avraam Tsantekidis; Anastasios Tefas (Pattern Recognit. Lett., 2021)

Improving knowledge distillation using unified ensembles of specialized teachers. - Adamantios Zaras; Nikolaos Passalis; Anastasios Tefas (Pattern Recognit. Lett., 2021)

Deep supervised hashing using quadratic spherical mutual information for efficient image retrieval. - Nikolaos Passalis; Anastasios Tefas (Signal Process. Image Commun., 2021)

Training Deep Photonic Convolutional Neural Networks With Sinusoidal Activations. - Nikolaos Passalis; George Mourgias-Alexandris; Apostolos Tsakyridis; Nikos Pleros; Anastasios Tefas (IEEE Trans. Emerg. Top. Comput. Intell., 2021)

Multi-Level Reversible Data Anonymization via Compressive Sensing and Data Hiding. - Mehmet Yamaç; Mete Ahishali; Nikolaos Passalis; Jenni Raitoharju; Bülent Sankur; Moncef Gabbouj (IEEE Trans. Inf. Forensics Secur., 2021)

Hypersphere-Based Weight Imprinting for Few-Shot Learning on Embedded Devices. - Nikolaos Passalis; Alexandros Iosifidis; Moncef Gabbouj; Anastasios Tefas (IEEE Trans. Neural Networks Learn. Syst., 2021)

Probabilistic Knowledge Transfer for Lightweight Deep Representation Learning. - Nikolaos Passalis; Maria Tzelepi; Anastasios Tefas (IEEE Trans. Neural Networks Learn. Syst., 2021)

Price Trailing for Financial Trading Using Deep Reinforcement Learning. - Avraam Tsantekidis; Nikolaos Passalis; Anastasia-Sotiria Toufa; Konstantinos Saitas Zarkias; Stergios Chairistanidis; Anastasios Tefas (IEEE Trans. Neural Networks Learn. Syst., 2021)

Forecasting Financial Time Series Using Robust Deep Adaptive Input Normalization. - Nikolaos Passalis; Juho Kanniainen; Moncef Gabbouj; Alexandros Iosifidis; Anastasios Tefas (J. Signal Process. Syst., 2021)

A Robust, Quantization-Aware Training Method for Photonic Neural Networks. - Athina Oikonomou; Manos Kirtas; Nikos Passalis; George Mourgias-Alexandris; Miltiadis Moralis-Pegios; Nikos Pleros; Anastasios Tefas (EANN, 2022)

Learning photonic neural network initialization for noise-aware end-to-end fiber transmission. - Manos Kirtas; Nikos Passalis; George Mourgias-Alexandris; George Dabos; Nikos Pleros; Anastasios Tefas (EUSIPCO, 2022)

Active Vision Control Policies for Face Recognition using Deep Reinforcement Learning. - Pavlos Tosidis; Nikolaos Passalis; Anastasios Tefas (EUSIPCO, 2022)

Sentiment-Aware Distillation for Bitcoin Trend Forecasting Under Partial Observability. - Georgios Panagiotatos; Nikolaos Passalis; Avraam Tsantekidis; Anastasios Tefas (ICASSP, 2022)

Bag-Of-Features-Based Knowledge Distillation For Lightweight Convolutional Neural Networks. - Alexandros Chariton; Nikolaos Passalis; Anastasios Tefas (ICIP, 2022)

Online Knowledge Distillation for Financial Timeseries Forecasting. - Pavlos Floratos; Avraam Tsantekidis; Nikolaos Passalis; Anastasios Tefas (INISTA, 2022)

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; O. Green; Alexandros Iosifidis; Erdal Kayacan; Jens Kober; O. Michel; et al. (IROS, 2022)

Deep Learning for On-Street Parking Violation Prediction. - Nikolaos Karantaglis; Nikolaos Passalis; Anastasios Tefas (IVMSP, 2022)

Early Detection of DDoS Attacks using Photonic Neural Networks. - Manos Kirtas; Nikolaos Passalis; Dimitrios Kalavrouziotis; Dimitris Syrivelis; Paraskevas Bakopoulos; Nikos Pleros; Anastasios Tefas (IVMSP, 2022)

Electric load demand forecasting on Greek Energy Market using lightweight neural networks. - Nikitas Maragkos; Maria Tzelepi; Nikolaos Passalis; Apostolos N. Adamakos; Anastasios Tefas (IVMSP, 2022)

Deep Video Stream Information Analysis and Retrieval: Challenges and Opportunities. - Nikolaos Passalis; Maria Tzelepi; Polychronis Charitidis; Stavros Doropoulos; Stavros Vologiannidis; Anastasios Tefas (MIPR, 2022)

Photonic Neuromorphic Computing: Architectures, Technologies, and Training Models. - Miltiadis Moralis-Pegios; Angelina Totovic; Apostolos Tsakyridis; George Giamougiannis; George Mourgias-Alexandris; George Dabos; Nikolaos Passalis; Manos Kirtas; Anastasios Tefas; Nikos Pleros (OFC, 2022)

Normalized Post-training Quantization for Photonic Neural Networks. - Manos Kirtas; Nikolaos Passalis; Athina Oikonomou; George Mourgias-Alexandris; Miltiadis Moralis-Pegios; Nikos Pleros; Anastasios Tefas (SSCI, 2022)

Graph Embedding With Data Uncertainty. - Firas Laakom; Jenni Raitoharju; Nikolaos Passalis; Alexandros Iosifidis; Moncef Gabbouj (IEEE Access, 2022)

Attention-Based Neural Bag-of-Features Learning for Sequence Data. - Dat Thanh Tran; Nikolaos Passalis; Anastasios Tefas; Moncef Gabbouj; Alexandros Iosifidis (IEEE Access, 2022)

Non-Linear Spectral Dimensionality Reduction Under Uncertainty. - Firas Laakom; Jenni Raitoharju; Nikolaos Passalis; Alexandros Iosifidis; Moncef Gabbouj (CoRR, 2022)

MLGWSC-1: The first Machine Learning Gravitational-Wave Search Mock Data Challenge. - Marlin B. Schäfer; Ondrej Zelenka; Alexander H. Nitz; He Wang 018; Shichao Wu; Zong-Kuan Guo; Zhoujian Cao; Zhixiang Ren; Paraskevi Nousi; Nikolaos Stergioulas; Panagiotis Iosif; Alexandra E. Koloniari; et al. (CoRR, 2022)

A Novel Dataset for Evaluating and Alleviating Domain Shift for Human Detection in Agricultural Fields. - Paraskevi Nousi; Emmanouil Mpampis; Nikolaos Passalis; Ole Green; Anastasios Tefas (CoRR, 2022)

Autoencoder-driven spiral representation learning for gravitational wave surrogate modelling. - Paraskevi Nousi; Styliani-Christina Fragkouli; Nikolaos Passalis; Panagiotis Iosif; Theocharis Apostolatos; George Pappas; Nikolaos Stergioulas; Anastasios Tefas (Neurocomputing, 2022)

Probabilistic online self-distillation. - Maria Tzelepi; Nikolaos Passalis; Anastasios Tefas (Neurocomputing, 2022)

Multisource financial sentiment analysis for detecting Bitcoin price change indications using deep learning. - Nikolaos Passalis; Loukia Avramelou; Solon Seficha; Avraam Tsantekidis; Stavros Doropoulos; Giorgos Makris; Anastasios Tefas (Neural Comput. Appl., 2022)

WDM equipped universal linear optics for programmable neuromorphic photonic processors. - Angelina Totovic; Christos Pappas; Manos Kirtas; Apostolos Tsakyridis; George Giamougiannis; Nikolaos Passalis; Miltiadis Moralis-Pegios; Anastasios Tefas; Nikos Pleros (Neuromorph. Comput. Eng., 2022)

Quantization-aware training for low precision photonic neural networks. - Manos Kirtas; Athina Oikonomou; Nikolaos Passalis; George Mourgias-Alexandris; Miltiadis Moralis-Pegios; Nikos Pleros; Anastasios Tefas (Neural Networks, 2022)

Predicting on-street parking violation rate using deep residual neural networks. - Nikolaos Karantaglis; Nikolaos Passalis; Anastasios Tefas (Pattern Recognit. Lett., 2022)

End-to-End Trainable Gaussian Filtering for Electrocardiogram Signal Classification Using Deep Learning. - Angelos Nalmpantis; Nikolaos Passalis; Anastasios Tefas (EUSIPCO, 2023)

Improving Inertial-Based UAV Localization using Data-Efficient Deep Reinforcement Learning. - Dimitrios Tsiakmakis; Nikolaos Passalis; Anastasios Tefas (EUSIPCO, 2023)

Cryptosentiment: A Dataset and Baseline for Sentiment-Aware Deep Reinforcement Learning for Financial Trading. - Loukia Avramelou; Paraskevi Nousi; Nikolaos Passalis; Stavros Doropoulos; Anastasios Tefas (ICASSP Workshops, 2023)

Enabling High-Resolution Pose Estimation in Real Time Using Active Perception. - Theodoros Manousis; Nikolaos Passalis; Anastasios Tefas (ICIP, 2023)

Calibration of a Photonic Neural Network Considering Fabrication Tolerances. - Onur Düzgöl; Manos Kirtas; Nikolaos Passalis; André Richter (ICTON, 2023)

A Sharpe Ratio Based Reward Scheme in Deep Reinforcement Learning for Financial Trading. - Georgios Rodinos; Paraskevi Nousi; Nikolaos Passalis; Anastasios Tefas (AIAI (1), 2023)

Deep Learning for Active Robotic Perception. - Nikolaos Passalis; Pavlos Tosidis; Theodoros Manousis; Anastasios Tefas (IJCCI, 2023)

Quantization-Aware Training for Mixed Precision Photonic Neural Networks. - Manos Kirtas; Nikolaos Passalis; Athina Oikonomou; Miltiadis Moralis-Pegios; George Giamougiannis; Apostolos Tsakyridis; George Mourgias-Alexandris; Nikolaos Pleros; Anastasios Tefas (MLSP, 2023)

Deep Reinforcement Learning With Action Masking for Differential-Drive Robot Navigation Using Low-Cost Sensors. - Konstantinos Tsampazis; Manos Kirtas; Pavlos Tosidis; Nikolaos Passalis; Anastasios Tefas (MLSP, 2023)

ActiveFace: A Synthetic Active Perception Dataset for Face Recognition. - Charalampos Georgiadis; Nikolaos Passalis; Nikos Nikolaidis 001 (MMSP, 2023)

Leveraging Active and Continual Learning for Improving Deep Face Recognition in-the-Wild. - Pavlos Tosidis; Nikolaos Passalis; Anastasios Tefas (MMSP, 2023)

DDOS attack identification via a silicon photonic Deep Neural Network with 50 GHz input and weight update. - Apostolos Tsakyridis; George Giamougiannis; Miltiadis Moralis-Pegios; George Mourgias-Alexandris; Angelina Totovic; George Dabos; Manos Kirtas; Nikolaos Passalis; Anastasios Tefas; Dimitrios Kalavrouziotis; Dimitris Syrivelis; Paraskevas Bakopoulos; et al. (OFC, 2023)

Using Part-Based Representations for Explainable Deep Reinforcement Learning. - Manos Kirtas; Konstantinos Tsampazis; Loukia Avramelou; Nikolaos Passalis; Anastasios Tefas (PKDD/ECML Workshops (2), 2023)

Domain-Specific Large Language Model Finetuning using a Model Assistant for Financial Text Summarization. - Loukia Avramelou; Nikolaos Passalis; Grigorios Tsoumakas; Anastasios Tefas (SSCI, 2023)

Deep Active Robotic Perception for Improving Face Recognition Under Occlusions. - Valia Dimaridou; Nikolaos Passalis; Anastasios Tefas (SSCI, 2023)

Deep Active Perception for Object Detection using Navigation Proposals. - Stefanos Ginargiros; Nikolaos Passalis; Anastasios Tefas (SSCI, 2023)

Symmetric Fine-Tuning for Improving Few-Shot Object Detection. - Emmanouil Mpampis; Nikolaos Passalis; Anastasios Tefas (SSCI, 2023)

Variational Voxel Pseudo Image Tracking. - Illia Oleksiienko; Paraskevi Nousi; Nikolaos Passalis; Anastasios Tefas; Alexandros Iosifidis (SSCI, 2023)

Leveraging Deep Learning and Online Source Sentiment for Financial Portfolio Management. - Paraskevi Nousi; Loukia Avramelou; Georgios Rodinos; Maria Tzelepi; Theodoros Manousis; Konstantinos Tsampazis; Kyriakos Stefanidis; Dimitris Spanos; Emmanouil Kirtas; Pavlos Tosidis; Avraam Tsantekidis; Nikolaos Passalis; et al. (CoRR, 2023)

Non-negative isomorphic neural networks for photonic neuromorphic accelerators. - Manos Kirtas; Nikolaos Passalis; Nikolaos Pleros; Anastasios Tefas (CoRR, 2023)

Photonic Neural Networks and Optics-informed Deep Learning Fundamentals. - Apostolos Tsakyridis; Miltiadis Moralis-Pegios; George Giamougiannis; Manos Kirtas; Nikolaos Passalis; Anastasios Tefas; Nikos Pleros (CoRR, 2023)

Robust Architecture-Agnostic and Noise Resilient Training of Photonic Deep Learning Models. - Manos Kirtas; Nikolaos Passalis; George Mourgias-Alexandris; George Dabos; Nikos Pleros; Anastasios Tefas (IEEE Trans. Emerg. Top. Comput. Intell., 2023)

Modeling limit order trading with a continuous action policy for deep reinforcement learning. - Avraam Tsantekidis; Nikolaos Passalis; Anastasios Tefas (Neural Networks, 2023)

Mixed-precision quantization-aware training for photonic neural networks. - Manos Kirtas; Nikolaos Passalis; Athina Oikonomou; Miltiadis Moralis-Pegios; George Giamougiannis; Apostolos Tsakyridis; George Mourgias-Alexandris; Nikolaos Pleros; Anastasios Tefas (Neural Comput. Appl., 2023)

Deep residual error and bag-of-tricks learning for gravitational wave surrogate modeling. - Styliani-Christina Fragkouli; Paraskevi Nousi; Nikolaos Passalis; Panagiotis Iosif; Nikolaos Stergioulas; Anastasios Tefas (Appl. Soft Comput., 2023)

Mutual Information-Based Neural Network Distillation for Improving Photonic Neural Network Training. - Alexandros Chariton; Nikolaos Passalis; Nikos Pleros; Anastasios Tefas (Neural Process. Lett., 2023)

Probabilistic Knowledge Transfer for Lightweight Vision Transformers. - Ioannis Bountouris; Nikolaos Passalis; Anastasios Tefas (EUSIPCO, 2024)

Quantization-Aware Training for Multi-Agent Reinforcement Learning. - Nikolaos Chandrinos; Michalis Amasialidis; Manos Kirtas; Konstantinos Tsampazis; Nikolaos Passalis; Anastasios Tefas (EUSIPCO, 2024)

Large Models in Dialogue for Active Perception and Anomaly Detection. - Tzoulio Chamiti; Nikolaos Passalis; Anastasios Tefas (ICPR (17), 2024)

Plasticity Driven Knowledge Transfer for Continual Deep Reinforcement Learning in Financial Trading. - Dimitrios Katsikas; Nikolaos Passalis; Anastasios Tefas (ICPR (9), 2024)

Multiplicative RMSprop Using Gradient Normalization for Learning Acceleration. - Manos Kirtas; Nikolaos Passalis; Anastasios Tefas (ICPR (29), 2024)

Continual Updates of Face Embeddings Using Deep Reinforcement Learning. - Pavlos Tosidis; Nikolaos Passalis; Anastasios Tefas (ICPR (Workshops and Challenges, 2), 2024)

Improving Active Face Recognition using Multi-Task Learning. - Michail Loufakis; Pavlos Tosidis; Nikolaos Passalis; Anastasios Tefas (IISA, 2024)

Bi-Directional Knowledge Transfer For Continual Deep Reinforcement Learning in Financial Trading. - Dimitrios Katsikas; Nikolaos Passalis; Anastasios Tefas (MLSP, 2024)

Optics-informed Neural Networks: Bridging Deep Learning with Photonic Accelerators. - Miltiadis Moralis-Pegios; Apostolos Tsakyridis; Christos Pappas; Theodoros Moschos; George Giamougiannis; Stefanos Kovaios; Ioannis Roumpos; Manos Kirtas; Nikos Passalis; Anastasios Tefas; Nikos Pleros (OFC, 2024)

A TeraFLOP Photonic Matrix Multiplier using Time-Space-Wavelength Multiplexed AWGR-based Architectures. - Christos Pappas; Theodoros Moschos; Miltiadis Moralis-Pegios; George Giamougiannis; Apostolos Tsakyridis; Manos Kirtas; Nikolaos Passalis; Anastasios Tefas; Nikos Pleros (OFC, 2024)

UAV Active Perception and Motion Control for Improving Navigation Using Low-Cost Sensors. - Konstantinos Gounis; Nikolaos Passalis; Anastasios Tefas (CoRR, 2024)

Multiplicative update rules for accelerating deep learning training and increasing robustness. - Manos Kirtas; Nikolaos Passalis; Anastasios Tefas (Neurocomputing, 2024)

A synthetic human-centric dataset generation pipeline for active robotic vision. - Charalampos Georgiadis; Nikolaos Passalis; Nikos Nikolaidis 001 (Pattern Recognit. Lett., 2024)

Online probabilistic knowledge distillation on cryptocurrency trading using Deep Reinforcement Learning. - Vasileios Moustakidis; Nikolaos Passalis; Anastasios Tefas (Pattern Recognit. Lett., 2024)

Robotic safe adaptation in unprecedented situations: the RoboSAPIENS project. - Peter Gorm Larsen; Shaukat Ali 001; Roland Behrens; Ana Cavalcanti 001; Cláudio Gomes 001; Guoyuan Li; Paul De Meulenaere; Mikkel Labori Olsen; Nikolaos Passalis; Thomas Peyrucain; Jesús Tapia; Anastasios Tefas; et al. (Res. Dir. Cyber Phys. Syst., 2024)

Deep reinforcement learning for financial trading using multi-modal features. - Loukia Avramelou; Paraskevi Nousi; Nikolaos Passalis; Anastasios Tefas (Expert Syst. Appl., 2024)

Semi-supervised learning for on-street parking violation prediction using graph convolutional networks. - Nikolaos Karantaglis; Nikolaos Passalis; Anastasios Tefas (Neural Comput. Appl., 2024)

Vpit: real-time embedded single object 3D tracking using voxel pseudo images. - Illia Oleksiienko; Paraskevi Nousi; Nikolaos Passalis; Anastasios Tefas; Alexandros Iosifidis (Neural Comput. Appl., 2024)

Sepsis Detection Exploiting Biomarker Analysis with Deep Neural Networks. - Dimitrios Spanos; Nikolaos Passalis; Dimosthenis Spasopoulos; Evangelia Chatzianagnostou; Juan Carlos Ruiz-Rodríguez; Juan José González Lopez; Laura M. Lechuga; M.-Carmen Estevez; Nikos Pleros; Anastasios Tefas (ICPS, 2025)

Reliable Uncertainty Estimation in Autonomous Systems via Feature Collapse Mitigation. - Dimitrios Spanos; Nikolaos Passalis; Anastasios Tefas (ICPS, 2025)

A Time-Space-Wavelength Multiplexed AWGR-based Photonic Tensor Core using WDM SiGe EAM array chiplets. - Antonios Prapas; Miltiadis Moralis-Pegios; Apostolos Tsakyridis; Stefanos Kovaios; Odysseas Asimopoulos; Christos Pappas; Theodoros Moschos; Manos Kirtas; Nikolaos Passalis; K. Vyrsokinos; Anastasios Tefas; Nikos Pleros (OFC, 2025)

Enhancing industrial scheduling through machine learning: A synergistic approach with predictive modeling and clustering. - M. E. Samouilidou; Nikolaos Passalis; Georgios P. Georgiadis; Michael C. Georgiadis (Comput. Chem. Eng., 2025)

Leveraging active perception for real-time high-resolution pose estimation. - Theodoros Manousis; Emmanouil Eleftheriadis; Nikolaos Passalis; Anastasios Tefas (Expert Syst. Appl., 2025)

Leveraging subclass learning for improving uncertainty estimation in deep Learning. - Dimitrios Spanos; Nikolaos Passalis; Anastasios Tefas (Neurocomputing, 2025)

Trustworthy knowledge distillation via anchor-guided distribution learning. - Dimitrios Spanos; Nikolaos Passalis; Anastasios Tefas (Knowl. Based Syst., 2025)

New gravitational wave discoveries enabled by machine learning. - Alexandra E. Koloniari; Evdokia C. Koursoumpa; Paraskevi Nousi; Paraskevas Lampropoulos; Nikolaos Passalis; Anastasios Tefas; Nikolaos Stergioulas (Mach. Learn. Sci. Technol., 2025)

Sign potential-driven multiplicative optimization for robust deep reinforcement learning. - Loukia Avramelou; Manos Kirtas; Nikolaos Passalis; Anastasios Tefas (Neural Networks, 2025)

Residual adaptive input normalization for forecasting renewable energy generation in multiple countries. - Nikolaos Passalis; Christos N. Dimitriadis; Michael C. Georgiadis (Pattern Recognit. Lett., 2025)

Data efficient Deep Reinforcement Learning for robust inertial-based UAV localization. - Dimitrios Tsiakmakis; Nikolaos Passalis; Anastasios Tefas (Robotics Auton. Syst., 2025)

Explicit Bandwidth Learning for FOREX Trading Using Deep Reinforcement Learning. - Angelos Nalmpantis; Nikolaos Passalis; Anastasios Tefas (IEEE Signal Process. Lett., 2025)

A 262 TOPS Hyperdimensional Photonic AI Accelerator powered by a Si3N4 microcomb laser. - Christos Pappas; Antonios Prapas; Theodoros Moschos; Manos Kirtas; Odysseas Asimopoulos; Apostolos Tsakyridis; Miltiadis Moralis-Pegios; Chris Vagionas; Nikolaos Passalis; Cagri Ozdilek; Timofey Shpakovsky; Alain Yuji Takabayashi; et al. (CoRR, 2025)