Publications
All Publications
See also
2025
Sepsis Detection Exploiting Biomarker Analysis with Deep Neural Networks
IEEE International Conference on Industrial Cyber-Physical Systems
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2025
Enhancing Large-scale Production Scheduling using Machine-Learning Techniques
European Symposium on Computer Aided Process Engineering
·
2025
Reliable Uncertainty Estimation in Autonomous Systems via Feature Collapse Mitigation
IEEE International Conference on Industrial Cyber-Physical Systems
·
2025
Multiplicative Stochastic Gradient Descent for fast and robust deep learning training
International Joint Conference on Neural Networks
·
2025
Robust Robotic Perception using Adaptive Multiplicative Optimization for Deep Reinforcement Learning
International Conference on Information, Intelligence, Systems and Applications
·
2025
Model Merging for Deep Reinforcement Learning in Autonomous Financial Trading Systems
International Conference on Information, Intelligence, Systems and Applications
·
2025
Embedded Real-Time Robotic Perception for Lightweight High-Resolution Weed Detection
International Conference on Information, Intelligence, Systems and Applications
·
2025
Expert-guided Deep Reinforcement Learning for Autonomous Financial Asset Trading
International Conference on Information, Intelligence, Systems and Applications
·
2025
Perception-based Probabilistic Latent Space Matching for Anomaly Detection in Industrial Autonomous Systems
International Conference on Information, Intelligence, Systems and Applications
·
2025
Single Pass Uncertainty Estimation in Q-Learning via Dropout Distillation
International Joint Conference on Neural Networks
·
2025
Integrating Contractive Loss in Proximal Policy Optimization for Robust Decision-Making
European Signal Processing Conference (EUSIPCO)
·
2025
Latent Behavior Cloning for Deep Reinforcement Learning Robotic Tasks
European Signal Processing Conference (EUSIPCO)
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2025
New gravitational wave discoveries enabled by machine learning
Machine Learning: Science and Technology
·
2025
Reaching the Peta-computing: 163.8 TOPS through Multidimensional AWGR-based Accelerators
Journal of Lightwave Technology
·
2025
Residual Adaptive Input Normalization for Forecasting Renewable Energy Generation in Multiple Countries
Pattern Recognition Letters
·
2025
Enhancing Industrial Scheduling through Machine Learning: A Synergistic Approach with Predictive Modeling and Clustering
Computers and Chemical Engineering
·
2025
A Deep Learning Framework for Photovoltaic Power Forecasting in Multiple Interconnected Countries
Sustainable Energy Technologies and Assessments
·
2025
Explicit Bandwidth Learning for FOREX Trading Using Deep Reinforcement Learning
IEEE Signal Processing Letters
·
2025
Leveraging active perception for real-time high-resolution pose estimation
Expert Systems with Applications
·
2025
Sign potential-driven multiplicative optimization for robust deep reinforcement learning
Neural Networks
·
2025
Inducing Neural Collapse via Anti-Classes and One-Cold Cross Entropy Loss
IEEE Transactions on Neural Networks and Learning Systems
·
2025
Leveraging Subclass Learning for Improving Uncertainty Estimation in Deep Learning
Neurocomputing
·
2025
Data efficient Deep Reinforcement Learning for Robust Inertial-based UAV Localization
Robotics and Autonomous Systems
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2025
2024
Optics-informed Neural Networks: Bridging Deep Learning with Photonic Accelerators
Optical Fiber Communication Conference
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2024
A TeraFLOP Photonic Matrix Multiplier using Time-Space-Wavelength Multiplexed AWGR-based Architectures
Optical Fiber Communications Conference and Exhibition (OFC), 2024
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2024
Large Models in Dialogue for Active Perception and Anomaly Detection
International Conference on Pattern Recognition
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2024
Plasticity Driven Knowledge Transfer for Continual Deep Reinforcement Learning in Financial Trading
International Conference on Pattern Recognition
·
2024
Multiplicative RMSprop Using Gradient Normalization for Learning Acceleration
International Conference on Pattern Recognition
·
2024
Quantization-Aware Training for Multi-Agent Reinforcement Learning
European Signal Processing Conference (EUSIPCO)
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2024
Probabilistic Knowledge Transfer for Lightweight Vision Transformers
European Signal Processing Conference (EUSIPCO)
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2024
Bi-Directional Knowledge Transfer For Continual Deep Reinforcement Learning in Financial Trading
IEEE 34th International Workshop on Machine Learning for Signal Processing
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2024
Mixed-precision quantization-aware training for photonic neural networks
Neural Computing and Applications
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2024
Deep residual error and bag-of-tricks learning for gravitational wave surrogate modelling
Applied Soft Computing
·
2024
Photonic neural networks and optics-informed deep learning fundamentals
APL Photonics
·
2024
Robotic safe adaptation in unprecedented situations: the RoboSAPIENS project
Research Directions: Cyber-Physical Systems, 2024
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2024
Programmable Tanh- and ELU-based photonic neurons in optics-informed neural networks
Journal of Lightwave Technology
·
2024
A synthetic human-centric dataset generation pipeline for active robotic vision
Pattern Recognition Letters, 2024
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2024
Deep reinforcement learning for financial trading using multi-modal features
Expert Systems with Applications
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2024
Predicting the immunomodulatory activity of probiotic lactic acid bacteria using supervised machine learning in a Cornu aspersum snail model
Fish & Shellfish Immunology
·
2024
Online probabilistic knowledge distillation on cryptocurrency trading using Deep Reinforcement Learning
Pattern Recognition Letters
·
2024
VPIT: Real-time embedded single object 3D tracking using voxel pseudo images
Neural Computing and Applications
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2024
Semi-supervised learning for on-street parking violation prediction using graph convolutional networks
Neural Computing and Applications
·
2024
2023
CRYPTOSENTIMENT: A dataset and baseline for Sentiment-aware Deep Reinforcement Learning for Financial Trading
11th International Workshop on Computational Intelligence for Multimedia Understanding - IEEE ICASSP Satellite Workshop
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2023
Improving Inertial-based UAV Localization using Data-Efficient Deep Reinforcement Learning
31th European Signal Processing Conference (EUSIPCO)
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2023
End-to-End Trainable Gaussian Filtering for Electrocardiogram Signal Classification using Deep Learning
31th European Signal Processing Conference (EUSIPCO)
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2023
Physics-inspired End-to-End Deep Learning for High-Performance Optical Fiber Transmission Links
CLEO: Science and Innovations
·
2023
Deep Learning for Active Robotic Perception
International Joint Conference on Computational Intelligence (IJCCI)
·
2023
DDOS attack identification via a silicon photonic Deep Neural Network with 50 GHz input and weight update
Optical Fiber Communication Conference
·
2023
A Sharpe Ratio based reward scheme in Deep Reinforcement Learning for financial trading
IFIP International Conference on Artificial Intelligence Applications and Innovations
·
2023
Calibration of a Photonic Neural Network Considering Fabrication Tolerances
International Conference on Transparent Optical Networks (ICTON)
·
2023
Deep Reinforcement Learning With Action Masking for Differential-Drive Robot Navigation Using Low-Cost Sensors
IEEE International Workshop on Machine Learning for Signal Processing
·
2023
Quantization-Aware Training for Mixed Precision Photonic Neural Networks
IEEE International Workshop on Machine Learning for Signal Processing
·
2023
Leveraging Active and Continual Learning for Improving Deep Face Recognition in-the-Wild
2023 IEEE International Workshop on Multimedia Signal Processing (MMSP)
·
2023
ActiveFace: A Synthetic Active Perception Dataset for Face Recognition
IEEE International Workshop on Multimedia Signal Processing (MMSP)
·
2023
Enabling high-resolution pose estimation in real time using active perception
IEEE International Conference on Image Processing (ICIP)
·
2023
Variational Voxel Pseudo Image Tracking
IEEE Symposium Series on Computational Intelligence (SSCI)
·
2023
Deep Active Perception for Object Detection using Navigation Proposals
IEEE Symposium Series on Computational Intelligence (SSCI)
·
2023
Deep Active Robotic Perception for Improving Face Recognition Under Occlusions
IEEE Symposium Series on Computational Intelligence (SSCI)
·
2023
Symmetric Fine-Tuning for Improving Few-Shot Object Detection
IEEE Symposium Series on Computational Intelligence (SSCI)
·
2023
Domain-Specific Large Language Model Finetuning using a Model Assistant for Financial Text Summarization
IEEE Symposium Series on Computational Intelligence (SSCI)
·
2023
Robust architecture-agnostic and noise resilient training of photonic deep learning models
IEEE Transactions on Emerging Topics in Computational Intelligence
·
2023
Predicting on-street parking violation rate using deep residual neural networks
Pattern Recognition Letters
·
2023
Quantization-aware Training for Low Precision Photonic Neural Networks
Neural Networks
·
2023
Neuromorphic silicon photonics with 50 GHz tiled matrix multiplication for deep-learning applications
Advanced Photonics
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2023
First machine learning gravitational-wave search mock data challenge
Physical Review D
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2023
Programmable Tanh-, ELU-, Sigmoid-, Sin-Based Nonlinear Activation Functions for Neuromorphic Photonics
IEEE Journal of Selected Topics in Quantum Electronics
·
2023
Mutual Information-Based Neural Network Distillation for Improving Photonic Neural Network Training
Neural Processing Letters
·
2023
Deep residual networks for gravitational wave detection
Physical Review D
·
2023
2022
Neural Networks and Backpropagation
Deep Learning for Robot Perception and Cognition (A. Iosifidis, A. Tefas, eds.), Elsevier
·
2022
Deep learning for robotics examples using OpenDR
Deep Learning for Robot Perception and Cognition (A. Iosifidis, A. Tefas, eds.), Elsevier
·
2022
Representation Learning and Retrieval
Deep Learning for Robot Perception and Cognition (A. Iosifidis, A. Tefas, eds.), Elsevier
·
2022
Lightweight Deep Learning
Deep Learning for Robot Perception and Cognition (A. Iosifidis, A. Tefas, eds.), Elsevier
·
2022
Deep Reinforcement Learning
Deep Learning for Robot Perception and Cognition (A. Iosifidis, A. Tefas, eds.), Elsevier
·
2022
Recurrent Neural Networks
Deep Learning for Robot Perception and Cognition (A. Iosifidis, A. Tefas, eds.), Elsevier
·
2022
Knowledge Distillation
Deep Learning for Robot Perception and Cognition (A. Iosifidis, A. Tefas, eds.), Elsevier
·
2022
Silicon Photonic Neuromorphic Computing with 16 GHz Input Data and Weight Update Line Rates
Conference on Lasers and Electro-Optics (CLEO)
·
2022
A robust, quantization-aware training method for photonic neural networks
Engineering Applications and Advances of Artificial Intelligence Conference (EANN)
·
2022
Early Detection of DDoS Attacks using Photonic Neural Networks
IEEE Image, Video, Multidimensional Signal Processing Workshop (IVMSP)
·
2022
Deep Learning for On-Street Parking Violation Prediction
IEEE Image, Video, Multidimensional Signal Processing Workshop (IVMSP)
·
2022
Electric load demand forecasting on Greek Energy Market using lightweight neural networks
IEEE Image, Video, Multidimensional Signal Processing Workshop (IVMSP)
·
2022
Sentiment-aware Distillation for Bitcoin Trend Forecasting Under Partial Observability
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
·
2022
Normalized Post-training Quantization for Photonic Neural Networks
IEEE Symposium Series On Computational Intelligence
·
2022
A Novel Dataset for Evaluating and Alleviating Domain Shift for Human Detection in Agricultural Fields
IEEE Symposium Series On Computational Intelligence
·
2022
Bag-Of-Features-Based Knowledge Distillation For Lightweight Convolutional Neural Networks
IEEE International Conference on Image Processing (ICIP)
·
2022
High-speed analog photonic computing with tiled matrix multiplication and dynamic precision capabilities for DNNs
European Conference on Optical Communication (ECOC)
·
2022
Photonic Neuromorphic Computing: Architectures, Technologies, Training Models
Optical Fiber Communications Conference and Exhibition
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2022
Deep Video Stream Information Analysis and Retrieval: Challenges and Opportunities
IEEE 5th International Conference on Multimedia Information Processing
·
2022
Active Vision Control Policies for Face Recognition using Deep Reinforcement Learning
30th European Signal Processing Conference (EUSIPCO)
·
2022
Learning photonic neural network initialization for noise-aware end-to-end fiber transmission
30th European Signal Processing Conference (EUSIPCO)
·
2022
Online Knowledge Distillation for Financial Timeseries Forecasting
International Conference on INnovations in Intelligent SysTems and Applications (INISTA)
·
2022
Improving Noise Resilience in End-to-End Deep Learning Optical Fiber Transmission Links
Asia Communications and Photonics Conference (APC)
·
2022
OpenDR: An Open Toolkit for Enabling High Performance, Low Footprint Deep Learning for Robotics
IEEE/RSJ International Conference on Intelligent Robots (IROS)
·
2022
Probabilistic Online Self-Distillation
Neurocomputing
·
2022
WDM Equipped Universal Linear Optics for Programmable Neuromorphic Photonic Processors
Neuromorphic Computing and Engineering
·
2022
Neuromorphic Silicon Photonics and Hardware-aware Deep Learning for High-Speed Inference
IEEE/OSA Journal of Lightwave Technology
·
2022
Graph Embedding with Data Uncertainty
IEEE Access
·
2022
Attention-based Neural Bag-of-Features Learning for Sequence Data
IEEE Access
·
2022
Universal Linear Optics for Ultra-Fast Neuromorphic Silicon Photonics Towards Fj/MAC and TMAC/sec/mm2 Engines
IEEE Journal of Selected Topics in Quantum Electronics
·
2022
Universal Linear Optics Revisited: New Perspectives for Neuromorphic Computing with Silicon Photonics
IEEE Journal of Selected Topics in Quantum Electronics
·
2022
Noise-resilient and high-speed deep learning with coherent silicon photonics
Nature Communications
·
2022
Multisource Financial Sentiment Analysis for Detecting Bitcoin Price Change Indications using Deep Learning
Neural Computing and Applications
·
2022
2021
Silicon-integrated coherent neurons with 32GMAC/sec/axon compute line-rates using EAM-based input and weighting cells
European Conference on Optical Communication (ECOC)
·
2021
25GMAC/sec/axon photonic neural networks with 7GHz bandwidth optics through channel response-aware training
European Conference on Optical Communication (ECOC)
·
2021
Efficient Realistic Data Generation Framework leveraging Deep Learning-based Human Digitization
International Conference on Engineering Applications of Neural Networks
·
2021
Compute with Light: Architectures, Technologies and Training Models for Neuromorphic Photonic Circuits
European Conference on Optical Communication (ECOC)
·
2021
A Silicon Photonic Coherent Neuron with 10GMAC/sec processing line-rate
Optical Fiber Communications Conference and Exhibition (OFC)
·
2021
Silicon-integrated coherent neurons with 32GMAC/sec/axon compute line-rates using EAM-based input and weighting cells
European Conference on Optical Communication (ECOC)
·
2021
End-to-end deep learning with neuromorphic photonics
Integrated Optics: Devices, Materials, Technologies XXV
·
2021
Temporal Difference Rewards for End-to-end Vision-based Active Robot Tracking using Deep Reinforcement Learning
International Conference on Emerging Techniques in Computational Intelligence (ICETCI)
·
2021
Learning Sentiment-aware Trading Strategies for Bitcoin leveraging Deep Learning-based Financial News Analysis
International Conference on Artificial Intelligence Applications and Innovations (AIAI)
·
2021
Adaptive Inference for Face Recognition leveraging Deep Metric Learning-enabled Early Exits
European Signal Processing Conference (EUSIPCO)
·
2021
Improving Deep Reinforcement Learning for Financial Trading using Deep Adaptive Group-based Normalization
IEEE International Workshop on Machine Learning for Signal Processing (MLSP)
·
2021
Pseudo-Active Vision for Improving Deep Visual Perception through Neural Sensory Refinement
IEEE International Conference on Image Processing (ICIP)
·
2021
Improving Knowledge Distillation using Unified Ensembles of Specialized Teachers
Pattern Recognition Letters
·
2021
deepsing: Generating sentiment-aware visual stories using cross-modal music translation
Expert Systems with Applications
·
2021
Deep supervised hashing using quadratic spherical mutual information for efficient image retrieval
Signal Processing: Image Communication
·
2021
Online Subclass Knowledge Distillation
Expert Systems With Applications
·
2021
Deep Adaptive Group-based Input Normalization for Financial Trading
Pattern Recognition Letters
·
2021
2020
aColor: Mechatronics, Machine Learning, Communications in an Unmanned Surface Vehicle
Transport Research Arena Conference (TRA2020)
·
2020
Multilayer Probabilistic Knowledge Transfer for Learning Image Representations
IEEE International Symposium on Circuits & Systems (ISCAS)
·
2020
Adaptive Initialization for Recurrent Photonic Networks using Sigmoidal Activations
IEEE International Symposium on Circuits & Systems (ISCAS)
·
2020
All-optical recurrent neural network with sigmoid activation function
Optical Fiber Communication Conference (OFC)
·
2020
A Webots-based Deep Reinforcement Learning Framework for Robotics
International Conference on Artificial Intelligence Applications and Innovations
·
2020
Adaptive Normalization for Forecasting Limit Order Book Data using Convolutional Neural Networks
IEEE International Conference on Acoustics, Speech, Signal Processing (ICASSP)
·
2020
Different Color Spaces in Deep Learning-based Water Segmentation for Autonomous Marine Operations
IEEE International Conference on Image Processing (ICIP)
·
2020
Robust Hypersphere-based Weight Imprinting for Few-shot Learning
European Signal Processing Conference (EUSIPCO)
·
2020
Training Noise-resilient Recurrent Photonic Networks for Financial Time Series Analysis
European Signal Processing Conference (EUSIPCO)
·
2020
Improving Universal Style Transfer using Sub-style Decomposition
Hellenic Conference on Artificial Intelligence (SETN)
·
2020
Improving Visual Question Answering using Active Perception on Static Images
International Conference on Pattern Recognition (ICPR)
·
2020
Improving Deep Reinforcement Learning for Financial Trading using Neural Network Distillation
IEEE International Workshop on Machine Learning for Signal Processing
·
2020
Leveraging Deep Reinforcement Learning for Active Shooting under Open-World Setting
IEEE International Conference on Multimedia and Expo
·
2020
Heterogeneous Knowledge Distillation using Information Flow Modeling
IEEE Conference on Computer Vision and Pattern Recognition
·
2020
Efficient Adaptive Inference leveraging Bag-of-Features-based Early Exits
IEEE International Workshop on Multimedia Signal Processing
·
2020
Global Adaptive Input Normalization for Short-Term Electric Load Forecasting
IEEE Symposium Series on Computational Intelligence
·
2020
Human Action Recognition using Recurrent Bag-of-Features Pooling
ICPR Workshop on Image Mining: Theory and Applications
·
2020
Efficient Online Subclass Knowledge Distillation for Image Classification
International Conference on Pattern Recognition (ICPR)
·
2020
Leveraging Quadratic Spherical Mutual Information Hashing for Fast Image Retrieval
International Conference on Pattern Recognition (ICPR)
·
2020
Using Deep Learning for price prediction by exploiting stationary limit order book features
Applied Soft Computing
·
2020
All-optical WDM Recurrent Neural Networks with Gating
IEEE Journal of Selected Topics in Quantum Electronics
·
2020
Femtojoule per MAC Neuromorphic Photonics: An Energy and Technology Roadmap
IEEE Journal of Selected Topics in Quantum Electronics
·
2020
Hypersphere-based Weight Imprinting for Few-shot Learning on Embedded Devices
Transactions on Neural Networks and Learning Systems
·
2020
Efficient Adaptive Inference for Deep Convolutional Neural Networks using Hierarchical Early Exits
Pattern Recognition
·
2020
Recurrent Bag-of-Features for Visual Information Analysis
Pattern Recognition
·
2020
Price Trailing for Financial Trading using Deep Reinforcement Learning
Transactions on Neural Networks and Learning Systems
·
2020
Probabilistic Knowledge Transfer for Lightweight Deep Representation Learning
Transactions on Neural Networks and Learning Systems
·
2020
Initializing Photonic Feed-forward Neural Networks using Auxiliary Tasks
Neural Networks
·
2020
Temporal Logistic Neural Bag-of-Features for Financial Time series Forecasting leveraging Limit Order Book Data
Pattern Recognition Letters
·
2020
Bag of Color Features For Color Constancy
IEEE Transactions on Image Processing
·
2020
A Photonic Recurrent Neuron for Time-Series Classification
IEEE/OSA Journal of Lightwave Technology
·
2020
Forecasting Financial Time Series using Robust Deep Adaptive Input Normalization
Journal of Signal Processing Systems
·
2020
Multi-level Reversible Data Anonymization via Compressive Sensing and Data Hiding
IEEE Transactions on Information Forensics & Security
·
2020
2019
Face Verification and Recognition for Digital Forensics and Information Security
International Symposium on Digital Forensic and Security (ISDFS)
·
2019
Experimental demonstration of an optical neuron with a logistic Sigmoid activation function
Optical Fiber Communication Conference (OFC)
·
2019
Variance Preserving Initialization for Training Deep Neuromorphic Photonic Networks with Sinusoidal Activations
IEEE International Conference on Acoustics, Speech, Signal Processing (ICASSP)
·
2019
Deep Reinforcement Learning for Financial Trading using Price Trailing
IEEE International Conference on Acoustics, Speech, Signal Processing (ICASSP)
·
2019
Deep Temporal Logistic Bag-of-Features for Forecasting High Frequency Limit Order Book Time Series
IEEE International Conference on Acoustics, Speech, Signal Processing (ICASSP)
·
2019
Class-based Variational Representation Learning for Robust Image Retrieval
IEEE International Conference on Image Processing (ICIP)
·
2019
Adaptive Inference using Hierarchical Convolutional Bag-of-Features for Low-power Embedded Platforms
IEEE International Conference on Image Processing (ICIP)
·
2019
Curriculum-based Teacher Ensemble for Robust Neural Network Distillation
European Signal Processing Conference (EUSIPCO)
·
2019
Less is More: Deep Learnig using Subjective Annotations for Sentiment Analysis from Social Media
IEEE International Workshop on Machine Learning for Signal Processing (MLSP)
·
2019
Reversible Privacy Preservation Using Multi-level Encryption and Compressive Sensing
European Signal Processing Conference (EUSIPCO)
·
2019
High-Resolution Water Segmentation for Autonomous Unmanned Surface Vehicles: A novel dataset and evaluation
IEEE International Workshop on Machine Learning for Signal Processing (MLSP)
·
2019
An all-optical neuron with sigmoid activation function
Optics Express
·
2019
Deep Reinforcement Learning for Controlling Frontal Person Close-up Shooting
Neurocomputing
·
2019
Training Deep Photonic Convolutional Neural Networks with Sinusoidal Activations
IEEE Transactions on Emerging Topics in Computational Intelligence
·
2019
Continuous Drone Control using Deep Reinforcement Learning for Frontal View Person Shooting
Neural Computing and Applications
·
2019
Discriminative clustering using regularized subspace learning
Pattern Recognition
·
2019
Visual representation decoding from human brain activity using machine learning: A baseline study
Pattern Recognition Letters
·
2019
Neuromorphic Photonics with Coherent Linear Neurons using dual-IQ modulation cells
Journal of Lightwave Technology
·
2019
Variance-preserving deep metric learning for content-based image retrieval
Pattern Recognition Letters
·
2019
Deep Adaptive Input Normalization for Time Series Forecasting
IEEE Transactions on Neural Networks and Learning Systems
·
2019
2018
Deep Learning Analytics
Machine Learning Paradigms: Advances in Data Analytics (G. Tsihrintzis, D. Sotiropoulos, L. Jain, eds.), Springer
·
2018
Decoding generic visual representations from human brain activity using machine learning
European Conference on Computer Vision Workshops - Workshop on Brain Driven Computer Vision - (ECCVW)
·
2018
Fast, visual and interactive semi-supervised dimensionality reduction
European Conference on Computer Vision Workshops - International Workshop on Compact and Efficient Feature Representation and Learning in Computer Vision - (ECCVW)
·
2018
Deep reinforcement learning for frontal view person shooting using drones
IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS)
·
2018
Learning discriminative representations for big data clustering using similarity-based dimensionality reduction
IEEE Image, Video, Multidimensional Signal Processing (IVMSP) Workshop
·
2018
Accelerating Similarity-based discriminant analysis using class-specific prototypes
International Conference on Image Processing (ICIP)
·
2018
Visual Question Answering Using Explicit Visual Attention
International Symposium on Circuits and Systems (ISCAS)
·
2018
Efficient camera control using 2d visual information for unmanned aerial vehicle-based cinematography
International Symposium on Circuits and Systems (ISCAS)
·
2018
Neural Network Knowledge Transfer using Unsupervised Similarity Matching
International Conference on Pattern Recognition (ICPR)
·
2018
Probabilistic knowledge transfer for deep representation learning
European Conference on Computer Vision (ECCV)
·
2018
Information Clustering using Manifold-based Optimization of the Bag-of-Features Representation
IEEE Transactions on Cybernetics
·
2018
Explicit ensemble attention learning for improving visual question answering
Pattern Recognition Letters
·
2018
PySEF: A python library for similarity-based dimensionality reduction
Knowledge-Based Systems
·
2018
Long Term Temporal Averaging for Stochastic Optimization of Deep Neural Networks
Neural Computing and Applications
·
2018
Learning bag-of-embedded-words representations for textual information retrieval
Pattern Recognition
·
2018
Interactive dimensionality reduction using similarity projections
Knowledge-Based Systems
·
2018
Temporal bag-of-features learning for predicting mid price movements using high frequency limit order book data
IEEE Transactions on Emerging Topics in Computational Intelligence
·
2018
Training lightweight deep convolutional neural networks using bag-of-features pooling
IEEE Transactions on Neural Networks and Learning Systems
·
2018
Unsupervised knowledge transfer using similarity embeddings
IEEE Transactions on Neural Networks and Learning Systems
·
2018
2017
Forecasting stock prices from the limit order book using convolutional neural networks
IEEE Conference on Business Informatics (CBI)
·
2017
Using deep learning to detect price change indications in financial markets
European Signal Processing Conference (EUSIPCO)
·
2017
Improving Face Pose Estimation Using Long-Term Temporal Averaging for Stochastic Optimization
International Conference on Engineering Applications of Neural Networks (EANN)
·
2017
Concept Detection and Face Pose Estimation Using Lightweight Convolutional Neural Networks for Steering Drone Video Shooting
European Signal Processing Conference (EUSIPCO)
·
2017
Time-series Classification Using Neural Bag-of-Features
European Signal Processing Conference (EUSIPCO)
·
2017
Learning Bag-of-Features Pooling for Deep Convolutional Neural Networks
International Conference on Computer Vision (ICCV)
·
2017
Learning Neural Bag-of-Features for Large Scale Information Retrieval
IEEE Transactions on Systems, Man, Cybernetics: Systems
·
2017
Neural Bag-of-Features Learning
Pattern Recognition
·
2017
Dimensionality Reduction using Similarity-induced Embeddings
IEEE Transactions on Neural Networks and Learning Systems
·
2017
2016
Bag of Embedded Words Learning for Text Retrieval
International Conference on Pattern Recognition (ICPR)
·
2016
Spatial Bag of Features Learning for Large Scale Face Image Retrieval
INNS Big Data
·
2016
Spectral Clustering using Optimized Bag-of-Features
Hellenic Conference on Artificial Intelligence (SETN)
·
2016
Entropy Optimized Feature-Based Bag-of-Words Representation for Information Retrieval
IEEE Transactions on Knowledge and Data Engineering
·
2016
2015
Multispot: Spotting sentiments with semantic aware multilevel cascaded analysis
International Conference on Big Data Analytics and Knowledge Discovery
·
2015