Nikolaos Passalis
Orcid: 0000-0003-1177-9139
According to our database1,
Nikolaos Passalis
authored at least 173 papers
between 2015 and 2025.
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Bibliography
2025
IEEE Signal Process. Lett., 2025
Expert Syst. Appl., 2025
2024
Neural Comput. Appl., November, 2024
Semi-supervised learning for on-street parking violation prediction using graph convolutional networks.
Neural Comput. Appl., November, 2024
Expert Syst. Appl., March, 2024
Online probabilistic knowledge distillation on cryptocurrency trading using Deep Reinforcement Learning.
Pattern Recognit. Lett., 2024
Pattern Recognit. Lett., 2024
Multiplicative update rules for accelerating deep learning training and increasing robustness.
Neurocomputing, 2024
UAV Active Perception and Motion Control for Improving Navigation Using Low-Cost Sensors.
CoRR, 2024
A TeraFLOP Photonic Matrix Multiplier using Time-Space-Wavelength Multiplexed AWGR-based Architectures.
Proceedings of the Optical Fiber Communications Conference and Exhibition, 2024
Proceedings of the Optical Fiber Communications Conference and Exhibition, 2024
Bi-Directional Knowledge Transfer For Continual Deep Reinforcement Learning in Financial Trading.
Proceedings of the 34th IEEE International Workshop on Machine Learning for Signal Processing, 2024
Proceedings of the 15th International Conference on Information, 2024
Proceedings of the Pattern Recognition - 27th International Conference, 2024
Plasticity Driven Knowledge Transfer for Continual Deep Reinforcement Learning in Financial Trading.
Proceedings of the Pattern Recognition - 27th International Conference, 2024
Proceedings of the Pattern Recognition - 27th International Conference, 2024
Proceedings of the 32nd European Signal Processing Conference, 2024
Proceedings of the 32nd European Signal Processing Conference, 2024
2023
Mutual Information-Based Neural Network Distillation for Improving Photonic Neural Network Training.
Neural Process. Lett., December, 2023
Deep residual error and bag-of-tricks learning for gravitational wave surrogate modeling.
Appl. Soft Comput., November, 2023
Neural Comput. Appl., October, 2023
Modeling limit order trading with a continuous action policy for deep reinforcement learning.
Neural Networks, August, 2023
Robust Architecture-Agnostic and Noise Resilient Training of Photonic Deep Learning Models.
IEEE Trans. Emerg. Top. Comput. Intell., February, 2023
CoRR, 2023
Leveraging Deep Learning and Online Source Sentiment for Financial Portfolio Management.
CoRR, 2023
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023
Domain-Specific Large Language Model Finetuning using a Model Assistant for Financial Text Summarization.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023
Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2023
DDOS attack identification via a silicon photonic Deep Neural Network with 50 GHz input and weight update.
Proceedings of the Optical Fiber Communications Conference and Exhibition, 2023
Leveraging Active and Continual Learning for Improving Deep Face Recognition in-the-Wild.
Proceedings of the 25th IEEE International Workshop on Multimedia Signal Processing, 2023
Proceedings of the 25th IEEE International Workshop on Multimedia Signal Processing, 2023
Deep Reinforcement Learning With Action Masking for Differential-Drive Robot Navigation Using Low-Cost Sensors.
Proceedings of the 33rd IEEE International Workshop on Machine Learning for Signal Processing, 2023
Proceedings of the 33rd IEEE International Workshop on Machine Learning for Signal Processing, 2023
Proceedings of the 15th International Joint Conference on Computational Intelligence, 2023
A Sharpe Ratio Based Reward Scheme in Deep Reinforcement Learning for Financial Trading.
Proceedings of the Artificial Intelligence Applications and Innovations, 2023
Proceedings of the 23rd International Conference on Transparent Optical Networks, 2023
Proceedings of the IEEE International Conference on Image Processing, 2023
Cryptosentiment: A Dataset and Baseline for Sentiment-Aware Deep Reinforcement Learning for Financial Trading.
Proceedings of the IEEE International Conference on Acoustics, 2023
Improving Inertial-Based UAV Localization using Data-Efficient Deep Reinforcement Learning.
Proceedings of the 31st European Signal Processing Conference, 2023
End-to-End Trainable Gaussian Filtering for Electrocardiogram Signal Classification Using Deep Learning.
Proceedings of the 31st European Signal Processing Conference, 2023
2022
Pattern Recognit. Lett., 2022
Neural Networks, 2022
WDM equipped universal linear optics for programmable neuromorphic photonic processors.
Neuromorph. Comput. Eng., 2022
Multisource financial sentiment analysis for detecting Bitcoin price change indications using deep learning.
Neural Comput. Appl., 2022
Autoencoder-driven spiral representation learning for gravitational wave surrogate modelling.
Neurocomputing, 2022
A Novel Dataset for Evaluating and Alleviating Domain Shift for Human Detection in Agricultural Fields.
CoRR, 2022
CoRR, 2022
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022
Proceedings of the Optical Fiber Communications Conference and Exhibition, 2022
Proceedings of the 5th IEEE International Conference on Multimedia Information Processing and Retrieval, 2022
Electric load demand forecasting on Greek Energy Market using lightweight neural networks.
Proceedings of the 14th IEEE Image, Video, and Multidimensional Signal Processing Workshop, 2022
Proceedings of the 14th IEEE Image, Video, and Multidimensional Signal Processing Workshop, 2022
Proceedings of the 14th IEEE Image, Video, and Multidimensional Signal Processing Workshop, 2022
OpenDR: An Open Toolkit for Enabling High Performance, Low Footprint Deep Learning for Robotics.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022
Proceedings of the International Conference on INnovations in Intelligent SysTems and Applications, 2022
Bag-Of-Features-Based Knowledge Distillation For Lightweight Convolutional Neural Networks.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022
Sentiment-Aware Distillation for Bitcoin Trend Forecasting Under Partial Observability.
Proceedings of the IEEE International Conference on Acoustics, 2022
Active Vision Control Policies for Face Recognition using Deep Reinforcement Learning.
Proceedings of the 30th European Signal Processing Conference, 2022
Learning photonic neural network initialization for noise-aware end-to-end fiber transmission.
Proceedings of the 30th European Signal Processing Conference, 2022
Proceedings of the Engineering Applications of Neural Networks, 2022
2021
J. Signal Process. Syst., 2021
IEEE Trans. Neural Networks Learn. Syst., 2021
IEEE Trans. Neural Networks Learn. Syst., 2021
IEEE Trans. Neural Networks Learn. Syst., 2021
IEEE Trans. Inf. Forensics Secur., 2021
IEEE Trans. Emerg. Top. Comput. Intell., 2021
Deep supervised hashing using quadratic spherical mutual information for efficient image retrieval.
Signal Process. Image Commun., 2021
Pattern Recognit. Lett., 2021
Pattern Recognit. Lett., 2021
Diversity-driven knowledge distillation for financial trading using Deep Reinforcement Learning.
Neural Networks, 2021
deepsing: Generating sentiment-aware visual stories using cross-modal music translation.
Expert Syst. Appl., 2021
Proceedings of the Optical Fiber Communications Conference and Exhibition, 2021
Improving Deep Reinforcement Learning for Financial Trading Using Deep Adaptive Group-Based Normalization.
Proceedings of the 2021 IEEE 31st International Workshop on Machine Learning for Signal Processing (MLSP), 2021
Learning Sentiment-Aware Trading Strategies for Bitcoin Leveraging Deep Learning-Based Financial News Analysis.
Proceedings of the Artificial Intelligence Applications and Innovations, 2021
Pseudo-Active Vision For Improving Deep Visual Perception Through Neural Sensory Refinement.
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021
Adaptive Inference for Face Recognition leveraging Deep Metric Learning-enabled Early Exits.
Proceedings of the 29th European Signal Processing Conference, 2021
Compute with Light: Architectures, Technologies and Training Models for Neuromorphic Photonic Circuits.
Proceedings of the European Conference on Optical Communication, 2021
25GMAC/sec/axon photonic neural networks with 7GHz bandwidth optics through channel response-aware training.
Proceedings of the European Conference on Optical Communication, 2021
Silicon-integrated coherent neurons with 32GMAC/sec/axon compute line-rates using EAM-based input and weighting cells.
Proceedings of the European Conference on Optical Communication, 2021
Efficient Realistic Data Generation Framework Leveraging Deep Learning-Based Human Digitization.
Proceedings of the 22nd Engineering Applications of Neural Networks Conference, 2021
2020
IEEE Trans. Neural Networks Learn. Syst., 2020
Temporal Bag-of-Features Learning for Predicting Mid Price Movements Using High Frequency Limit Order Book Data.
IEEE Trans. Emerg. Top. Comput. Intell., 2020
Temporal logistic neural Bag-of-Features for financial time series forecasting leveraging limit order book data.
Pattern Recognit. Lett., 2020
Pattern Recognit. Lett., 2020
Efficient adaptive inference for deep convolutional neural networks using hierarchical early exits.
Pattern Recognit., 2020
Neural Networks, 2020
Continuous drone control using deep reinforcement learning for frontal view person shooting.
Neural Comput. Appl., 2020
AutoSOS: Towards Multi-UAV Systems Supporting Maritime Search and Rescue with Lightweight AI and Edge Computing.
CoRR, 2020
Using Deep Learning for price prediction by exploiting stationary limit order book features.
Appl. Soft Comput., 2020
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020
Proceedings of the SETN 2020: 11th Hellenic Conference on Artificial Intelligence, 2020
Proceedings of the Optical Fiber Communications Conference and Exhibition, 2020
Proceedings of the 22nd IEEE International Workshop on Multimedia Signal Processing, 2020
Proceedings of the 22nd IEEE International Workshop on Multimedia Signal Processing, 2020
Improving Deep Reinforcement Learning for Financial Trading Using Neural Network Distillation.
Proceedings of the 30th IEEE International Workshop on Machine Learning for Signal Processing, 2020
Proceedings of the IEEE International Symposium on Circuits and Systems, 2020
Proceedings of the IEEE International Symposium on Circuits and Systems, 2020
Proceedings of the Artificial Intelligence Applications and Innovations, 2020
Proceedings of the 25th International Conference on Pattern Recognition, 2020
Proceedings of the 25th International Conference on Pattern Recognition, 2020
Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 2020
Proceedings of the 25th International Conference on Pattern Recognition, 2020
Proceedings of the IEEE International Conference on Multimedia and Expo, 2020
Different Color Spaces In Deep Learning-Based Water Segmentation For Autonomous Marine Operations.
Proceedings of the IEEE International Conference on Image Processing, 2020
Adaptive Normalization for Forecasting Limit Order Book Data Using Convolutional Neural Networks.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020
Training Noise-Resilient Recurrent Photonic Networks for Financial Time Series Analysis.
Proceedings of the 28th European Signal Processing Conference, 2020
Proceedings of the 28th European Signal Processing Conference, 2020
Proceedings of the European Conference on Optical Communications, 2020
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
2019
Proceedings of the Machine Learning Paradigms - Advances in Data Analytics, 2019
Training Lightweight Deep Convolutional Neural Networks Using Bag-of-Features Pooling.
IEEE Trans. Neural Networks Learn. Syst., 2019
IEEE Trans. Neural Networks Learn. Syst., 2019
Visual representation decoding from human brain activity using machine learning: A baseline study.
Pattern Recognit. Lett., 2019
Pattern Recognit., 2019
Neural Comput. Appl., 2019
Knowl. Based Syst., 2019
Neurocomputing, 2019
CoRR, 2019
Deep Supervised Hashing leveraging Quadratic Spherical Mutual Information for Content-based Image Retrieval.
CoRR, 2019
IEEE Access, 2019
Experimental Demonstration of an Optical Neuron with a Logistic Sigmoid Activation Function.
Proceedings of the Optical Fiber Communications Conference and Exhibition, 2019
Less Is More: Deep Learning Using Subjective Annotations For Sentiment Analysis From Social Media.
Proceedings of the 29th IEEE International Workshop on Machine Learning for Signal Processing, 2019
High-Resolution Water Segmentation for Autonomous Unmanned Surface Vehicles: a Novel Dataset and Evaluation.
Proceedings of the 29th IEEE International Workshop on Machine Learning for Signal Processing, 2019
Proceedings of the 7th International Symposium on Digital Forensics and Security, 2019
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019
Adaptive Inference Using Hierarchical Convolutional Bag-of-Features for Low-Power Embedded Platforms.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019
Proceedings of the IEEE International Conference on Acoustics, 2019
Deep Temporal Logistic Bag-of-features for Forecasting High Frequency Limit Order Book Time Series.
Proceedings of the IEEE International Conference on Acoustics, 2019
Variance Preserving Initialization for Training Deep Neuromorphic Photonic Networks with Sinusoidal Activations.
Proceedings of the IEEE International Conference on Acoustics, 2019
Reversible Privacy Preservation using Multi-level Encryption and Compressive Sensing.
Proceedings of the 27th European Signal Processing Conference, 2019
Proceedings of the 27th European Signal Processing Conference, 2019
2018
IEEE Trans. Neural Networks Learn. Syst., 2018
Information Clustering Using Manifold-Based Optimization of the Bag-of-Features Representation.
IEEE Trans. Cybern., 2018
Pattern Recognit. Lett., 2018
Pattern Recognit., 2018
Knowl. Based Syst., 2018
CoRR, 2018
Learning Discriminative Representations for Big Data Clustering Using Similarity-Based Dimensionality Reduction.
Proceedings of the 13th IEEE Image, Video, and Multidimensional Signal Processing Workshop, 2018
Efficient Camera Control using 2D Visual Information for Unmanned Aerial Vehicle-based Cinematography.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2018
Proceedings of the IEEE International Symposium on Circuits and Systems, 2018
Proceedings of the 24th International Conference on Pattern Recognition, 2018
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018
Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018
Proceedings of the Computer Vision - ECCV 2018, 2018
Decoding Generic Visual Representations from Human Brain Activity Using Machine Learning.
Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018
Proceedings of the 2018 IEEE Conference on Evolving and Adaptive Intelligent Systems, 2018
2017
IEEE Trans. Syst. Man Cybern. Syst., 2017
Forecasting Stock Prices from the Limit Order Book Using Convolutional Neural Networks.
Proceedings of the 19th IEEE Conference on Business Informatics, 2017
Proceedings of the IEEE International Conference on Computer Vision, 2017
Proceedings of the 25th European Signal Processing Conference, 2017
Proceedings of the 25th European Signal Processing Conference, 2017
Concept detection and face pose estimation using lightweight convolutional neural networks for steering drone video shooting.
Proceedings of the 25th European Signal Processing Conference, 2017
Improving Face Pose Estimation Using Long-Term Temporal Averaging for Stochastic Optimization.
Proceedings of the Engineering Applications of Neural Networks, 2017
2016
Entropy Optimized Feature-Based Bag-of-Words Representation for Information Retrieval.
IEEE Trans. Knowl. Data Eng., 2016
Proceedings of the 9th Hellenic Conference on Artificial Intelligence, 2016
Proceedings of the Advances in Big Data, 2016
Proceedings of the 23rd International Conference on Pattern Recognition, 2016
2015
Proceedings of the Big Data Analytics and Knowledge Discovery, 2015