Nikolaos Passalis

ORCID

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 171

Top Venues

CoRR

EUSIPCO

Pattern Recognit. Lett.

IEEE Trans. Neural Networks Learn. Syst.

Publications

Loukia Avramelou, Paraskevi Nousi, Nikolaos Passalis, Anastasios Tefas
Deep reinforcement learning for financial trading using multi-modal features. Expert Syst. Appl. 238 (Part C) (2024)
Charalampos Georgiadis, Nikolaos Passalis, Nikos Nikolaidis
A synthetic human-centric dataset generation pipeline for active robotic vision. Pattern Recognit. Lett. 179 (2024)
Christos Pappas, Theodoros Moschos, Miltiadis Moralis-Pegios, George Giamougiannis, Apostolos Tsakyridis, Manos Kirtas, Nikolaos Passalis, Anastasios Tefas, Nikos Pleros
A TeraFLOP Photonic Matrix Multiplier using Time-Space-Wavelength Multiplexed AWGR-based Architectures. OFC (2024)
Manos Kirtas, Nikolaos Passalis, Anastasios Tefas
Multiplicative update rules for accelerating deep learning training and increasing robustness. Neurocomputing 576 (2024)
Konstantinos Gounis, Nikolaos Passalis, Anastasios Tefas
UAV Active Perception and Motion Control for Improving Navigation Using Low-Cost Sensors. CoRR (2024)
Avraam Tsantekidis, Nikolaos Passalis, Anastasios Tefas
Modeling limit order trading with a continuous action policy for deep reinforcement learning. Neural Networks 165 (2023)
Dimitrios Tsiakmakis, Nikolaos Passalis, Anastasios Tefas
Improving Inertial-Based UAV Localization using Data-Efficient Deep Reinforcement Learning. EUSIPCO (2023)
Konstantinos Tsampazis, Manos Kirtas, Pavlos Tosidis, Nikolaos Passalis, Anastasios Tefas
Deep Reinforcement Learning With Action Masking for Differential-Drive Robot Navigation Using Low-Cost Sensors. MLSP (2023)
Paraskevi Nousi, Loukia Avramelou, Georgios Rodinos, Maria Tzelepi, Theodoros Manousis, Konstantinos Tsampazis, Kyriakos Stefanidis, Dimitris Spanos, Emmanouil Kirtas, Pavlos Tosidis, Avraam Tsantekidis, Nikolaos Passalis, Anastasios Tefas
Leveraging Deep Learning and Online Source Sentiment for Financial Portfolio Management. CoRR (2023)
Pavlos Tosidis, Nikolaos Passalis, Anastasios Tefas
Leveraging Active and Continual Learning for Improving Deep Face Recognition in-the-Wild. MMSP (2023)
Stefanos Ginargiros, Nikolaos Passalis, Anastasios Tefas
Deep Active Perception for Object Detection using Navigation Proposals. SSCI (2023)
Loukia Avramelou, Nikolaos Passalis, Grigorios Tsoumakas, Anastasios Tefas
Domain-Specific Large Language Model Finetuning using a Model Assistant for Financial Text Summarization. SSCI (2023)
Georgios Rodinos, Paraskevi Nousi, Nikolaos Passalis, Anastasios Tefas
A Sharpe Ratio Based Reward Scheme in Deep Reinforcement Learning for Financial Trading. AIAI (1) (2023)
Emmanouil Mpampis, Nikolaos Passalis, Anastasios Tefas
Symmetric Fine-Tuning for Improving Few-Shot Object Detection. SSCI (2023)
Manos Kirtas, Nikolaos Passalis, George Mourgias-Alexandris, George Dabos, Nikos Pleros, Anastasios Tefas
Robust Architecture-Agnostic and Noise Resilient Training of Photonic Deep Learning Models. IEEE Trans. Emerg. Top. Comput. Intell. 7 (1) (2023)
Manos Kirtas, Nikolaos Passalis, Anastasios Tefas
Multiplicative update rules for accelerating deep learning training and increasing robustness. CoRR (2023)
Theodoros Manousis, Nikolaos Passalis, Anastasios Tefas
Enabling High-Resolution Pose Estimation in Real Time Using Active Perception. ICIP (2023)
Angelos Nalmpantis, Nikolaos Passalis, Anastasios Tefas
End-to-End Trainable Gaussian Filtering for Electrocardiogram Signal Classification Using Deep Learning. EUSIPCO (2023)
Valia Dimaridou, Nikolaos Passalis, Anastasios Tefas
Deep Active Robotic Perception for Improving Face Recognition Under Occlusions. SSCI (2023)
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, Elad Mentovich, Nikos Pleros
DDOS attack identification via a silicon photonic Deep Neural Network with 50 GHz input and weight update. OFC (2023)
Illia Oleksiienko, Paraskevi Nousi, Nikolaos Passalis, Anastasios Tefas, Alexandros Iosifidis
Variational Voxel Pseudo Image Tracking. SSCI (2023)
Alexandros Chariton, Nikolaos Passalis, Nikos Pleros, Anastasios Tefas
Mutual Information-Based Neural Network Distillation for Improving Photonic Neural Network Training. Neural Process. Lett. 55 (7) (2023)
Stefanos Ginargiros, Nikolaos Passalis, Anastasios Tefas
Deep Active Perception for Object Detection using Navigation Proposals. CoRR (2023)
Manos Kirtas, Nikolaos Passalis, Athina Oikonomou, Miltiadis Moralis-Pegios, George Giamougiannis, Apostolos Tsakyridis, George Mourgias-Alexandris, Nikolaos Pleros, Anastasios Tefas
Mixed-precision quantization-aware training for photonic neural networks. Neural Comput. Appl. 35 (29) (2023)
Styliani-Christina Fragkouli, Paraskevi Nousi, Nikolaos Passalis, Panagiotis Iosif, Nikolaos Stergioulas, Anastasios Tefas
Deep residual error and bag-of-tricks learning for gravitational wave surrogate modeling. Appl. Soft Comput. 147 (2023)
Onur Düzgöl, Manos Kirtas, Nikolaos Passalis, André Richter
Calibration of a Photonic Neural Network Considering Fabrication Tolerances. ICTON (2023)
Illia Oleksiienko, Paraskevi Nousi, Nikolaos Passalis, Anastasios Tefas, Alexandros Iosifidis
Variational Voxel Pseudo Image Tracking. CoRR (2023)
Charalampos Georgiadis, Nikolaos Passalis, Nikos Nikolaidis
ActiveFace: A Synthetic Active Perception Dataset for Face Recognition. MMSP (2023)
Loukia Avramelou, Paraskevi Nousi, Nikolaos Passalis, Stavros Doropoulos, Anastasios Tefas
Cryptosentiment: A Dataset and Baseline for Sentiment-Aware Deep Reinforcement Learning for Financial Trading. ICASSP Workshops (2023)
Nikolaos Passalis, Pavlos Tosidis, Theodoros Manousis, Anastasios Tefas
Deep Learning for Active Robotic Perception. IJCCI (2023)
Manos Kirtas, Nikolaos Passalis, Nikolaos Pleros, Anastasios Tefas
Non-negative isomorphic neural networks for photonic neuromorphic accelerators. CoRR (2023)
Apostolos Tsakyridis, Miltiadis Moralis-Pegios, George Giamougiannis, Manos Kirtas, Nikolaos Passalis, Anastasios Tefas, Nikos Pleros
Photonic Neural Networks and Optics-informed Deep Learning Fundamentals. CoRR (2023)
Manos Kirtas, Nikolaos Passalis, Athina Oikonomou, Miltiadis Moralis-Pegios, George Giamougiannis, Apostolos Tsakyridis, George Mourgias-Alexandris, Nikolaos Pleros, Anastasios Tefas
Quantization-Aware Training for Mixed Precision Photonic Neural Networks. MLSP (2023)
Dat Thanh Tran, Nikolaos Passalis, Anastasios Tefas, Moncef Gabbouj, Alexandros Iosifidis
Attention-Based Neural Bag-of-Features Learning for Sequence Data. IEEE Access 10 (2022)
Pavlos Floratos, Avraam Tsantekidis, Nikolaos Passalis, Anastasios Tefas
Online Knowledge Distillation for Financial Timeseries Forecasting. INISTA (2022)
Nikolaos Passalis, Maria Tzelepi, Polychronis Charitidis, Stavros Doropoulos, Stavros Vologiannidis, Anastasios Tefas
Deep Video Stream Information Analysis and Retrieval: Challenges and Opportunities. MIPR (2022)
Marlin B. Schäfer, Ondrej Zelenka, Alexander H. Nitz, He Wang, Shichao Wu, Zong-Kuan Guo, Zhoujian Cao, Zhixiang Ren, Paraskevi Nousi, Nikolaos Stergioulas, Panagiotis Iosif, Alexandra E. Koloniari, Anastasios Tefas, Nikolaos Passalis, Francesco Salemi, Gabriele Vedovato, Sergey Klimenko, Tanmaya Mishra, Bernd Brügmann, Elena Cuoco, E. A. Huerta, Chris Messenger, Frank Ohme
MLGWSC-1: The first Machine Learning Gravitational-Wave Search Mock Data Challenge. CoRR (2022)
Nikitas Maragkos, Maria Tzelepi, Nikolaos Passalis, Apostolos N. Adamakos, Anastasios Tefas
Electric load demand forecasting on Greek Energy Market using lightweight neural networks. IVMSP (2022)
Nikolaos Karantaglis, Nikolaos Passalis, Anastasios Tefas
Predicting on-street parking violation rate using deep residual neural networks. Pattern Recognit. Lett. 163 (2022)
Miltiadis Moralis-Pegios, Angelina Totovic, Apostolos Tsakyridis, George Giamougiannis, George Mourgias-Alexandris, George Dabos, Nikolaos Passalis, Manos Kirtas, Anastasios Tefas, Nikos Pleros
Photonic Neuromorphic Computing: Architectures, Technologies, and Training Models. OFC (2022)
Nikolaos Passalis, S. Pedrazzi, Robert Babuska, Wolfram Burgard, D. Dias, F. Ferro, Moncef Gabbouj, O. Green, Alexandros Iosifidis, E. Kayacan, Jens Kober, O. Michel, Nikos Nikolaidis, Paraskevi Nousi, R. Pieters, Maria Tzelepi, Abhinav Valada, Anastasios Tefas
OpenDR: An Open Toolkit for Enabling High Performance, Low Footprint Deep Learning for Robotics. IROS (2022)
Pavlos Tosidis, Nikolaos Passalis, Anastasios Tefas
Active Vision Control Policies for Face Recognition using Deep Reinforcement Learning. EUSIPCO (2022)
Firas Laakom, Jenni Raitoharju, Nikolaos Passalis, Alexandros Iosifidis, Moncef Gabbouj
Graph Embedding With Data Uncertainty. IEEE Access 10 (2022)
Firas Laakom, Jenni Raitoharju, Nikolaos Passalis, Alexandros Iosifidis, Moncef Gabbouj
Non-Linear Spectral Dimensionality Reduction Under Uncertainty. CoRR (2022)
Paraskevi Nousi, Emmanouil Mpampis, Nikolaos Passalis, Ole Green, Anastasios Tefas
A Novel Dataset for Evaluating and Alleviating Domain Shift for Human Detection in Agricultural Fields. CoRR (2022)
Paraskevi Nousi, Styliani-Christina Fragkouli, Nikolaos Passalis, Panagiotis Iosif, Theocharis Apostolatos, George Pappas, Nikolaos Stergioulas, Anastasios Tefas
Autoencoder-driven spiral representation learning for gravitational wave surrogate modelling. Neurocomputing 491 (2022)
Alexandros Chariton, Nikolaos Passalis, Anastasios Tefas
Bag-Of-Features-Based Knowledge Distillation For Lightweight Convolutional Neural Networks. ICIP (2022)
Nikolaos Karantaglis, Nikolaos Passalis, Anastasios Tefas
Deep Learning for On-Street Parking Violation Prediction. IVMSP (2022)
Styliani-Christina Fragkouli, Paraskevi Nousi, Nikolaos Passalis, Panagiotis Iosif, Nikolaos Stergioulas, Anastasios Tefas
Deep Residual Error and Bag-of-Tricks Learning for Gravitational Wave Surrogate Modeling. CoRR (2022)
Manos Kirtas, Nikolaos Passalis, A. Oikonomou, George Mourgias-Alexandris, Miltiadis Moralis-Pegios, Nikos Pleros, Anastasios Tefas
Normalized Post-training Quantization for Photonic Neural Networks. SSCI (2022)
Manos Kirtas, Nikolaos Passalis, Dimitrios Kalavrouziotis, Dimitris Syrivelis, Paraskevas Bakopoulos, Nikos Pleros, Anastasios Tefas
Early Detection of DDoS Attacks using Photonic Neural Networks. IVMSP (2022)
Nikolaos Passalis, S. Pedrazzi, Robert Babuska, Wolfram Burgard, D. Dias, F. Ferro, Moncef Gabbouj, O. Green, Alexandros Iosifidis, E. Kayacan, Jens Kober, O. Michel, N. Nikolaidis, Paraskevi Nousi, R. Pieters, Maria Tzelepi, Abhinav Valada, Anastasios Tefas
OpenDR: An Open Toolkit for Enabling High Performance, Low Footprint Deep Learning for Robotics. CoRR (2022)
Nikolaos Passalis, Loukia Avramelou, Solon Seficha, Avraam Tsantekidis, Stavros Doropoulos, Giorgos Makris, Anastasios Tefas
Multisource financial sentiment analysis for detecting Bitcoin price change indications using deep learning. Neural Comput. Appl. 34 (22) (2022)
Illia Oleksiienko, Paraskevi Nousi, Nikolaos Passalis, Anastasios Tefas, Alexandros Iosifidis
VPIT: Real-time Embedded Single Object 3D Tracking Using Voxel Pseudo Images. CoRR (2022)
Angelina Totovic, Christos Pappas, Manos Kirtas, Apostolos Tsakyridis, George Giamougiannis, Nikolaos Passalis, Miltiadis Moralis-Pegios, Anastasios Tefas, Nikos Pleros
WDM equipped universal linear optics for programmable neuromorphic photonic processors. Neuromorph. Comput. Eng. 2 (2) (2022)
Manos Kirtas, A. Oikonomou, Nikolaos Passalis, George Mourgias-Alexandris, Miltiadis Moralis-Pegios, Nikos Pleros, Anastasios Tefas
Quantization-aware training for low precision photonic neural networks. Neural Networks 155 (2022)
Georgios Panagiotatos, Nikolaos Passalis, Avraam Tsantekidis, Anastasios Tefas
Sentiment-Aware Distillation for Bitcoin Trend Forecasting Under Partial Observability. ICASSP (2022)
Maria Tzelepi, Nikolaos Passalis, Anastasios Tefas
Probabilistic online self-distillation. Neurocomputing 493 (2022)
Avraam Tsantekidis, Nikolaos Passalis, Anastasia-Sotiria Toufa, Konstantinos Saitas Zarkias, Stergios Chairistanidis, Anastasios Tefas
Price Trailing for Financial Trading Using Deep Reinforcement Learning. IEEE Trans. Neural Networks Learn. Syst. 32 (7) (2021)
Nikolaos Passalis, Juho Kanniainen, Moncef Gabbouj, Alexandros Iosifidis, Anastasios Tefas
Forecasting Financial Time Series Using Robust Deep Adaptive Input Normalization. J. Signal Process. Syst. 93 (10) (2021)
Charalampos Symeonidis, Paraskevi Nousi, P. Tosidis, Konstantinos Tsampazis, Nikolaos Passalis, Anastasios Tefas, N. Nikolaidis
Efficient Realistic Data Generation Framework Leveraging Deep Learning-Based Human Digitization. EANN (2021)
Paraskevi Nousi, Styliani-Christina Fragkouli, Nikolaos Passalis, Panagiotis Iosif, Theocharis Apostolatos, George Pappas, Nikolaos Stergioulas, Anastasios Tefas
Autoencoder-driven Spiral Representation Learning for Gravitational Wave Surrogate Modelling. CoRR (2021)
Nikolaos Passalis, Alexandros Iosifidis, Moncef Gabbouj, Anastasios Tefas
Hypersphere-Based Weight Imprinting for Few-Shot Learning on Embedded Devices. IEEE Trans. Neural Networks Learn. Syst. 32 (2) (2021)
Nikolaos Passalis, George Mourgias-Alexandris, Apostolos Tsakyridis, Nikos Pleros, Anastasios Tefas
Training Deep Photonic Convolutional Neural Networks With Sinusoidal Activations. IEEE Trans. Emerg. Top. Comput. Intell. 5 (3) (2021)
Nikolaos Passalis, Anastasios Tefas
Adaptive Inference for Face Recognition leveraging Deep Metric Learning-enabled Early Exits. EUSIPCO (2021)
Charalampos Symeonidis, Paraskevi Nousi, P. Tosidis, Konstantinos Tsampazis, Nikolaos Passalis, Anastasios Tefas, N. Nikolaidis
Efficient Realistic Data Generation Framework leveraging Deep Learning-based Human Digitization. CoRR (2021)
Nikolaos Passalis, Anastasios Tefas
Pseudo-Active Vision For Improving Deep Visual Perception Through Neural Sensory Refinement. ICIP (2021)
Avraam Tsantekidis, Nikolaos Passalis, Anastasios Tefas
Diversity-driven knowledge distillation for financial trading using Deep Reinforcement Learning. Neural Networks 140 (2021)
George Mourgias-Alexandris, Apostolos Tsakyridis, Nikolaos Passalis, Manos Kirtas, Anastasios Tefas, Teerapat Rutirawut, Frederic Y. Gardes, Nikos Pleros, Miltiadis Moralis-Pegios
25GMAC/sec/axon photonic neural networks with 7GHz bandwidth optics through channel response-aware training. ECOC (2021)
Mehmet Yamaç, Mete Ahishali, Nikolaos Passalis, Jenni Raitoharju, Bülent Sankur, Moncef Gabbouj
Multi-Level Reversible Data Anonymization via Compressive Sensing and Data Hiding. IEEE Trans. Inf. Forensics Secur. 16 (2021)
Nikolaos Passalis, Maria Tzelepi, Anastasios Tefas
Probabilistic Knowledge Transfer for Lightweight Deep Representation Learning. IEEE Trans. Neural Networks Learn. Syst. 32 (5) (2021)
Angelos Nalmpantis, Nikolaos Passalis, Avraam Tsantekidis, Anastasios Tefas
Deep adaptive group-based input normalization for financial trading. Pattern Recognit. Lett. 152 (2021)
Nikolaos Passalis, S. Seficha, Avraam Tsantekidis, Anastasios Tefas
Learning Sentiment-Aware Trading Strategies for Bitcoin Leveraging Deep Learning-Based Financial News Analysis. AIAI (2021)
Angelos Nalmpantis, Nikolaos Passalis, Avraam Tsantekidis, Anastasios Tefas
Improving Deep Reinforcement Learning for Financial Trading Using Deep Adaptive Group-Based Normalization. MLSP (2021)
Nikolaos Passalis, Stavros Doropoulos
deepsing: Generating sentiment-aware visual stories using cross-modal music translation. Expert Syst. Appl. 164 (2021)
Adamantios Zaras, Nikolaos Passalis, Anastasios Tefas
Improving knowledge distillation using unified ensembles of specialized teachers. Pattern Recognit. Lett. 146 (2021)
Nikolaos Passalis, Anastasios Tefas
Deep supervised hashing using quadratic spherical mutual information for efficient image retrieval. Signal Process. Image Commun. 93 (2021)
Maria Tzelepi, Nikolaos Passalis, Anastasios Tefas
Online Subclass Knowledge Distillation. Expert Syst. Appl. 181 (2021)
Nikolaos Passalis, Alexandros Iosifidis, Moncef Gabbouj, Anastasios Tefas
Robust Hypersphere-based Weight Imprinting for Few-Shot Learning. EUSIPCO (2020)
Nikolaos Passalis, Anastasios Tefas, Juho Kanniainen, Moncef Gabbouj, Alexandros Iosifidis
Deep Adaptive Input Normalization for Time Series Forecasting. IEEE Trans. Neural Networks Learn. Syst. 31 (9) (2020)
A. Tzimas, Nikolaos Passalis, Anastasios Tefas
Leveraging Deep Reinforcement Learning For Active Shooting Under Open-World Setting. ICME (2020)
Marios Krestenitis, Nikolaos Passalis, Alexandros Iosifidis, Moncef Gabbouj, Anastasios Tefas
Human Action Recognition Using Recurrent Bag-of-Features Pooling. ICPR Workshops (5) (2020)
Nikolaos Passalis, Anastasios Tefas
Leveraging Active Perception for Improving Embedding-based Deep Face Recognition. MMSP (2020)
Avraam Tsantekidis, Nikolaos Passalis, Anastasios Tefas, Juho Kanniainen, Moncef Gabbouj, Alexandros Iosifidis
Using Deep Learning for price prediction by exploiting stationary limit order book features. Appl. Soft Comput. 93 (2020)
Nikolaos Passalis, Maria Tzelepi, Anastasios Tefas
Multilayer Probabilistic Knowledge Transfer for Learning Image Representations. ISCAS (2020)
Nikolaos Passalis, Anastasios Tefas, Juho Kanniainen, Moncef Gabbouj, Alexandros Iosifidis
Temporal Bag-of-Features Learning for Predicting Mid Price Movements Using High Frequency Limit Order Book Data. IEEE Trans. Emerg. Top. Comput. Intell. 4 (6) (2020)
Marios Krestenitis, Nikolaos Passalis, Alexandros Iosifidis, Moncef Gabbouj, Anastasios Tefas
Recurrent bag-of-features for visual information analysis. Pattern Recognit. 106 (2020)
Firas Laakom, Jenni Raitoharju, Nikolaos Passalis, Alexandros Iosifidis, Moncef Gabbouj
Graph Embedding with Data Uncertainty. CoRR (2020)
Jussi Taipalmaa, Nikolaos Passalis, Jenni Raitoharju
Different Color Spaces In Deep Learning-Based Water Segmentation For Autonomous Marine Operations. ICIP (2020)
Nikolaos Passalis, Maria Tzelepi, Anastasios Tefas
Heterogeneous Knowledge Distillation Using Information Flow Modeling. CVPR (2020)
Jorge Peña Queralta, Jenni Raitoharju, Tuan Nguyen Gia, Nikolaos Passalis, Tomi Westerlund
AutoSOS: Towards Multi-UAV Systems Supporting Maritime Search and Rescue with Lightweight AI and Edge Computing. CoRR (2020)
Dat Thanh Tran, Nikolaos Passalis, Anastasios Tefas, Moncef Gabbouj, Alexandros Iosifidis
Attention-based Neural Bag-of-Features Learning for Sequence Data. CoRR (2020)
Manos Kirtas, Konstantinos Tsampazis, Nikolaos Passalis, Anastasios Tefas
Deepbots: A Webots-Based Deep Reinforcement Learning Framework for Robotics. AIAI (2) (2020)
Avraam Tsantekidis, Nikolaos Passalis, Anastasios Tefas
Improving Deep Reinforcement Learning for Financial Trading Using Neural Network Distillation. MLSP (2020)
George Mourgias-Alexandris, Nikolaos Passalis, George Dabos, Angelina Totovic, Anastasios Tefas, Nikos Pleros
Time-series classification with an all-optical recurrent neuron. ECOC (2020)
Nikolaos Passalis, Anastasios Tefas
Leveraging Quadratic Spherical Mutual Information Hashing for Fast Image Retrieval. ICPR (2020)
Maria Tzelepi, Nikolaos Passalis, Anastasios Tefas
Efficient Online Subclass Knowledge Distillation for Image Classification. ICPR (2020)
Nikolaos Passalis, Jenni Raitoharju, Moncef Gabbouj, Anastasios Tefas
Efficient Adaptive Inference Leveraging Bag-of-Features-based Early Exits. MMSP (2020)
Paraskevas Pegios, Nikolaos Passalis, Anastasios Tefas
Improving Universal Style Transfer using Sub-style Decomposition. SETN (2020)
Nikolaos Passalis, Alexandros Iosifidis, Moncef Gabbouj, Anastasios Tefas
Variance-preserving deep metric learning for content-based image retrieval. Pattern Recognit. Lett. 131 (2020)

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Publication Activity (10 Years)

Top Topics

Top Venues

Nikolaos Passalis