Nikolaos Passalis

Nikolaos Pleros

Neural Comput. Appl., October, 2023

Modeling limit order trading with a continuous action policy for deep reinforcement learning.

[BibT_eX]

[DOI]

Neural Networks, August, 2023

Robust Architecture-Agnostic and Noise Resilient Training of Photonic Deep Learning Models.

[BibT_eX]

[DOI]

George Dabos

IEEE Trans. Emerg. Top. Comput. Intell., February, 2023

Photonic Neural Networks and Optics-informed Deep Learning Fundamentals.

[BibT_eX]

[DOI]

CoRR, 2023

Non-negative isomorphic neural networks for photonic neuromorphic accelerators.

[BibT_eX]

[DOI]

CoRR, 2023

Leveraging Deep Learning and Online Source Sentiment for Financial Portfolio Management.

[BibT_eX]

[DOI]

CoRR, 2023

Multiplicative update rules for accelerating deep learning training and increasing robustness.

[BibT_eX]

[DOI]

CoRR, 2023

Variational Voxel Pseudo Image Tracking.

[BibT_eX]

[DOI]

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023

Symmetric Fine-Tuning for Improving Few-Shot Object Detection.

[BibT_eX]

[DOI]

Emmanouil Mpampis

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023

Deep Active Perception for Object Detection using Navigation Proposals.

[BibT_eX]

[DOI]

Stefanos Ginargiros

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023

Deep Active Robotic Perception for Improving Face Recognition Under Occlusions.

[BibT_eX]

[DOI]

Valia Dimaridou

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023

Domain-Specific Large Language Model Finetuning using a Model Assistant for Financial Text Summarization.

[BibT_eX]

[DOI]

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023

DDOS attack identification via a silicon photonic Deep Neural Network with 50 GHz input and weight update.

[BibT_eX]

[DOI]

Dimitrios Kalavrouziotis

Dimitris Syrivelis

Paraskevas Bakopoulos

Elad Mentovich

Proceedings of the Optical Fiber Communications Conference and Exhibition, 2023

Leveraging Active and Continual Learning for Improving Deep Face Recognition in-the-Wild.

[BibT_eX]

[DOI]

Pavlos Tosidis

Proceedings of the 25th IEEE International Workshop on Multimedia Signal Processing, 2023

ActiveFace: A Synthetic Active Perception Dataset for Face Recognition.

[BibT_eX]

[DOI]

Charalampos Georgiadis

Nikos Nikolaidis

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.

[BibT_eX]

[DOI]

Proceedings of the 33rd IEEE International Workshop on Machine Learning for Signal Processing, 2023

Quantization-Aware Training for Mixed Precision Photonic Neural Networks.

[BibT_eX]

[DOI]

Nikolaos Pleros

Proceedings of the 33rd IEEE International Workshop on Machine Learning for Signal Processing, 2023

Deep Learning for Active Robotic Perception.

[BibT_eX]

[DOI]

Proceedings of the 15th International Joint Conference on Computational Intelligence, 2023

A Sharpe Ratio Based Reward Scheme in Deep Reinforcement Learning for Financial Trading.

[BibT_eX]

[DOI]

Proceedings of the Artificial Intelligence Applications and Innovations, 2023

Calibration of a Photonic Neural Network Considering Fabrication Tolerances.

[BibT_eX]

[DOI]

Proceedings of the 23rd International Conference on Transparent Optical Networks, 2023

Enabling High-Resolution Pose Estimation in Real Time Using Active Perception.

[BibT_eX]

[DOI]

Theodoros Manousis

Proceedings of the IEEE International Conference on Image Processing, 2023

Cryptosentiment: A Dataset and Baseline for Sentiment-Aware Deep Reinforcement Learning for Financial Trading.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2023

Improving Inertial-Based UAV Localization using Data-Efficient Deep Reinforcement Learning.

[BibT_eX]

[DOI]

Dimitrios Tsiakmakis

Proceedings of the 31st European Signal Processing Conference, 2023

End-to-End Trainable Gaussian Filtering for Electrocardiogram Signal Classification Using Deep Learning.

[BibT_eX]

[DOI]

Angelos Nalmpantis

Proceedings of the 31st European Signal Processing Conference, 2023

2022

Predicting on-street parking violation rate using deep residual neural networks.

[BibT_eX]

[DOI]

Nikolaos Karantaglis

Pattern Recognit. Lett., 2022

Quantization-aware training for low precision photonic neural networks.

[BibT_eX]

[DOI]

Neural Networks, 2022

WDM equipped universal linear optics for programmable neuromorphic photonic processors.

[BibT_eX]

[DOI]

Neuromorph. Comput. Eng., 2022

Multisource financial sentiment analysis for detecting Bitcoin price change indications using deep learning.

[BibT_eX]

[DOI]

Neural Comput. Appl., 2022

Probabilistic online self-distillation.

[BibT_eX]

[DOI]

Styliani-Christina Fragkouli

Neurocomputing, 2022

Autoencoder-driven spiral representation learning for gravitational wave surrogate modelling.

[BibT_eX]

[DOI]

Paraskevi Nousi

Panagiotis Iosif

Theocharis Apostolatos

George Pappas

Nikolaos Stergioulas

Neurocomputing, 2022

A Novel Dataset for Evaluating and Alleviating Domain Shift for Human Detection in Agricultural Fields.

[BibT_eX]

[DOI]

CoRR, 2022

MLGWSC-1: The first Machine Learning Gravitational-Wave Search Mock Data Challenge.

[BibT_eX]

[DOI]

CoRR, 2022

VPIT: Real-time Embedded Single Object 3D Tracking Using Voxel Pseudo Images.

[BibT_eX]

[DOI]

CoRR, 2022

Non-Linear Spectral Dimensionality Reduction Under Uncertainty.

[BibT_eX]

[DOI]

CoRR, 2022

Attention-Based Neural Bag-of-Features Learning for Sequence Data.

[BibT_eX]

[DOI]

IEEE Access, 2022

Graph Embedding With Data Uncertainty.

[BibT_eX]

[DOI]

IEEE Access, 2022

Normalized Post-training Quantization for Photonic Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022

Photonic Neuromorphic Computing: Architectures, Technologies, and Training Models.

[BibT_eX]

[DOI]

Angelina Totovic

Proceedings of the Optical Fiber Communications Conference and Exhibition, 2022

Deep Video Stream Information Analysis and Retrieval: Challenges and Opportunities.

[BibT_eX]

[DOI]

Polychronis Charitidis

Stavros Doropoulos

Stavros Vologiannidis

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.

[BibT_eX]

[DOI]

Nikitas Maragkos

Apostolos N. Adamakos

Proceedings of the 14th IEEE Image, Video, and Multidimensional Signal Processing Workshop, 2022

Early Detection of DDoS Attacks using Photonic Neural Networks.

[BibT_eX]

[DOI]

Dimitrios Kalavrouziotis

Dimitris Syrivelis

Paraskevas Bakopoulos

Proceedings of the 14th IEEE Image, Video, and Multidimensional Signal Processing Workshop, 2022

Deep Learning for On-Street Parking Violation Prediction.

[BibT_eX]

[DOI]

Nikolaos Karantaglis

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.

[BibT_eX]

[DOI]

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Online Knowledge Distillation for Financial Timeseries Forecasting.

[BibT_eX]

[DOI]

Proceedings of the International Conference on INnovations in Intelligent SysTems and Applications, 2022

Bag-Of-Features-Based Knowledge Distillation For Lightweight Convolutional Neural Networks.

[BibT_eX]

[DOI]

Alexandros Chariton

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Sentiment-Aware Distillation for Bitcoin Trend Forecasting Under Partial Observability.

[BibT_eX]

[DOI]

Georgios Panagiotatos

Proceedings of the IEEE International Conference on Acoustics, 2022

Active Vision Control Policies for Face Recognition using Deep Reinforcement Learning.

[BibT_eX]

[DOI]

Pavlos Tosidis

Proceedings of the 30th European Signal Processing Conference, 2022

Learning photonic neural network initialization for noise-aware end-to-end fiber transmission.

[BibT_eX]

[DOI]

Nikos Passalis

George Dabos

Proceedings of the 30th European Signal Processing Conference, 2022

A Robust, Quantization-Aware Training Method for Photonic Neural Networks.

[BibT_eX]

[DOI]

Nikos Passalis

Proceedings of the Engineering Applications of Neural Networks, 2022

2021

Forecasting Financial Time Series Using Robust Deep Adaptive Input Normalization.

[BibT_eX]

[DOI]

J. Signal Process. Syst., 2021

Price Trailing for Financial Trading Using Deep Reinforcement Learning.

[BibT_eX]

[DOI]

Konstantinos Saitas Zarkias

Anastasia-Sotiria Toufa

Stergios Chairistanidis

IEEE Trans. Neural Networks Learn. Syst., 2021

Probabilistic Knowledge Transfer for Lightweight Deep Representation Learning.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2021

Hypersphere-Based Weight Imprinting for Few-Shot Learning on Embedded Devices.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2021

Multi-Level Reversible Data Anonymization via Compressive Sensing and Data Hiding.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Forensics Secur., 2021

Training Deep Photonic Convolutional Neural Networks With Sinusoidal Activations.

[BibT_eX]

[DOI]

IEEE Trans. Emerg. Top. Comput. Intell., 2021

Deep supervised hashing using quadratic spherical mutual information for efficient image retrieval.

[BibT_eX]

[DOI]

Signal Process. Image Commun., 2021

Improving knowledge distillation using unified ensembles of specialized teachers.

[BibT_eX]

[DOI]

Adamantios Zaras

Pattern Recognit. Lett., 2021

Deep adaptive group-based input normalization for financial trading.

[BibT_eX]

[DOI]

Pattern Recognit. Lett., 2021

Diversity-driven knowledge distillation for financial trading using Deep Reinforcement Learning.

[BibT_eX]

[DOI]

Neural Networks, 2021

Online Subclass Knowledge Distillation.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2021

deepsing: Generating sentiment-aware visual stories using cross-modal music translation.

[BibT_eX]

[DOI]

Stavros Doropoulos

Expert Syst. Appl., 2021

A Silicon Photonic Coherent Neuron with 10GMAC/sec processing line-rate.

[BibT_eX]

[DOI]

Proceedings of the Optical Fiber Communications Conference and Exhibition, 2021

Improving Deep Reinforcement Learning for Financial Trading Using Deep Adaptive Group-Based Normalization.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Artificial Intelligence Applications and Innovations, 2021

Pseudo-Active Vision For Improving Deep Visual Perception Through Neural Sensory Refinement.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

Adaptive Inference for Face Recognition leveraging Deep Metric Learning-enabled Early Exits.

[BibT_eX]

[DOI]

Proceedings of the 29th European Signal Processing Conference, 2021

Compute with Light: Architectures, Technologies and Training Models for Neuromorphic Photonic Circuits.

[BibT_eX]

[DOI]

Nikos Passalis

Proceedings of the European Conference on Optical Communication, 2021

25GMAC/sec/axon photonic neural networks with 7GHz bandwidth optics through channel response-aware training.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the European Conference on Optical Communication, 2021

Efficient Realistic Data Generation Framework Leveraging Deep Learning-Based Human Digitization.

[BibT_eX]

[DOI]

Charalampos Symeonidis

Paraskevi Nousi

Pavlos Tosidis

Nikos Nikolaidis

Proceedings of the 22nd Engineering Applications of Neural Networks Conference, 2021

2020

Deep Adaptive Input Normalization for Time Series Forecasting.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2020

Bag of Color Features for Color Constancy.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2020

Temporal Bag-of-Features Learning for Predicting Mid Price Movements Using High Frequency Limit Order Book Data.

[BibT_eX]

[DOI]

IEEE Trans. Emerg. Top. Comput. Intell., 2020

Temporal logistic neural Bag-of-Features for financial time series forecasting leveraging limit order book data.

[BibT_eX]

[DOI]

Pattern Recognit. Lett., 2020

Variance-preserving deep metric learning for content-based image retrieval.

[BibT_eX]

[DOI]

Pattern Recognit. Lett., 2020

Efficient adaptive inference for deep convolutional neural networks using hierarchical early exits.

[BibT_eX]

[DOI]

Pattern Recognit., 2020

Recurrent bag-of-features for visual information analysis.

[BibT_eX]

[DOI]

Pattern Recognit., 2020

Initializing photonic feed-forward neural networks using auxiliary tasks.

[BibT_eX]

[DOI]

Neural Networks, 2020

Continuous drone control using deep reinforcement learning for frontal view person shooting.

[BibT_eX]

[DOI]

Neural Comput. Appl., 2020

AutoSOS: Towards Multi-UAV Systems Supporting Maritime Search and Rescue with Lightweight AI and Edge Computing.

[BibT_eX]

[DOI]

CoRR, 2020

Using Deep Learning for price prediction by exploiting stationary limit order book features.

[BibT_eX]

[DOI]

Appl. Soft Comput., 2020

Global Adaptive Input Normalization for Short-Term Electric Load Forecasting.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

Improving Universal Style Transfer using Sub-style Decomposition.

[BibT_eX]

[DOI]

Paraskevas Pegios

Proceedings of the SETN 2020: 11th Hellenic Conference on Artificial Intelligence, 2020

All-Optical Recurrent Neural Network with Sigmoid Activation Function.

[BibT_eX]

[DOI]

Proceedings of the Optical Fiber Communications Conference and Exhibition, 2020

Leveraging Active Perception for Improving Embedding-based Deep Face Recognition.

[BibT_eX]

[DOI]

Proceedings of the 22nd IEEE International Workshop on Multimedia Signal Processing, 2020

Efficient Adaptive Inference Leveraging Bag-of-Features-based Early Exits.

[BibT_eX]

[DOI]

Proceedings of the 22nd IEEE International Workshop on Multimedia Signal Processing, 2020

Improving Deep Reinforcement Learning for Financial Trading Using Neural Network Distillation.

[BibT_eX]

[DOI]

Proceedings of the 30th IEEE International Workshop on Machine Learning for Signal Processing, 2020

Multilayer Probabilistic Knowledge Transfer for Learning Image Representations.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Circuits and Systems, 2020

Adaptive Initialization for Recurrent Photonic Networks using Sigmoidal Activations.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Circuits and Systems, 2020

Deepbots: A Webots-Based Deep Reinforcement Learning Framework for Robotics.

[BibT_eX]

[DOI]

Proceedings of the Artificial Intelligence Applications and Innovations, 2020

Efficient Online Subclass Knowledge Distillation for Image Classification.

[BibT_eX]

[DOI]

Proceedings of the 25th International Conference on Pattern Recognition, 2020

Leveraging Quadratic Spherical Mutual Information Hashing for Fast Image Retrieval.

[BibT_eX]

[DOI]

Proceedings of the 25th International Conference on Pattern Recognition, 2020

Human Action Recognition Using Recurrent Bag-of-Features Pooling.

[BibT_eX]

[DOI]

Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 2020

Improving Visual Question Answering using Active Perception on Static Images.

[BibT_eX]

[DOI]

Theodoros Bozinis

Proceedings of the 25th International Conference on Pattern Recognition, 2020

Leveraging Deep Reinforcement Learning For Active Shooting Under Open-World Setting.

[BibT_eX]

[DOI]

A. Tzimas

Proceedings of the IEEE International Conference on Multimedia and Expo, 2020

Different Color Spaces In Deep Learning-Based Water Segmentation For Autonomous Marine Operations.

[BibT_eX]

[DOI]

Jussi Taipalmaa

Jenni Raitoharju

Proceedings of the IEEE International Conference on Image Processing, 2020

Adaptive Normalization for Forecasting Limit Order Book Data Using Convolutional Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Training Noise-Resilient Recurrent Photonic Networks for Financial Time Series Analysis.

[BibT_eX]

[DOI]

George Dabos

Proceedings of the 28th European Signal Processing Conference, 2020

Robust Hypersphere-based Weight Imprinting for Few-Shot Learning.

[BibT_eX]

[DOI]

Proceedings of the 28th European Signal Processing Conference, 2020

Time-series classification with an all-optical recurrent neuron.

[BibT_eX]

[DOI]

Proceedings of the European Conference on Optical Communications, 2020

Heterogeneous Knowledge Distillation Using Information Flow Modeling.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Deep Learning Analytics.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning Paradigms - Advances in Data Analytics, 2019

Training Lightweight Deep Convolutional Neural Networks Using Bag-of-Features Pooling.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2019

Unsupervised Knowledge Transfer Using Similarity Embeddings.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2019

Visual representation decoding from human brain activity using machine learning: A baseline study.

[BibT_eX]

[DOI]

Angeliki Papadimitriou

Pattern Recognit. Lett., 2019

Discriminative clustering using regularized subspace learning.

[BibT_eX]

[DOI]

Pattern Recognit., 2019

Long-term temporal averaging for stochastic optimization of deep neural networks.

[BibT_eX]

[DOI]

Neural Comput. Appl., 2019

Interactive dimensionality reduction using similarity projections.

[BibT_eX]

[DOI]

Dimitris Spathis

Knowl. Based Syst., 2019

Deep reinforcement learning for controlling frontal person close-up shooting.

[BibT_eX]

[DOI]

Neurocomputing, 2019

Deep Adaptive Input Normalization for Price Forecasting using Limit Order Book Data.

[BibT_eX]

[DOI]

CoRR, 2019

Deep Supervised Hashing leveraging Quadratic Spherical Mutual Information for Content-based Image Retrieval.

[BibT_eX]

[DOI]

CoRR, 2019

Machine Learning for Forecasting Mid-Price Movements Using Limit Order Book Data.

[BibT_eX]

[DOI]

IEEE Access, 2019

Experimental Demonstration of an Optical Neuron with a Logistic Sigmoid Activation Function.

[BibT_eX]

[DOI]

Konstantinos Saitas Zarkias

Proceedings of the Optical Fiber Communications Conference and Exhibition, 2019

Less Is More: Deep Learning Using Subjective Annotations For Sentiment Analysis From Social Media.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 29th IEEE International Workshop on Machine Learning for Signal Processing, 2019

Face Verification and Recognition for Digital Forensics and Information Security.

[BibT_eX]

[DOI]

Giuseppe Amato

Fabrizio Falchi

Claudio Gennaro

Fabio Valerio Massoli

Proceedings of the 7th International Symposium on Digital Forensics and Security, 2019

Class-Based Variational Representation Learning For Robust Image Retrieval.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

Adaptive Inference Using Hierarchical Convolutional Bag-of-Features for Low-Power Embedded Platforms.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

Deep Reinforcement Learning for Financial Trading Using Price Trailing.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2019

Deep Temporal Logistic Bag-of-features for Forecasting High Frequency Limit Order Book Time Series.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2019

Variance Preserving Initialization for Training Deep Neuromorphic Photonic Networks with Sinusoidal Activations.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2019

Reversible Privacy Preservation using Multi-level Encryption and Compressive Sensing.

[BibT_eX]

[DOI]

Proceedings of the 27th European Signal Processing Conference, 2019

Curriculum-based Teacher Ensemble for Robust Neural Network Distillation.

[BibT_eX]

[DOI]

Georgios Panagiotatos

Proceedings of the 27th European Signal Processing Conference, 2019

2018

Deep learning methods for data analysis

[BibT_eX]

[DOI]

PhD thesis, 2018

Dimensionality Reduction Using Similarity-Induced Embeddings.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2018

Information Clustering Using Manifold-Based Optimization of the Bag-of-Features Representation.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2018

Explicit ensemble attention learning for improving visual question answering.

[BibT_eX]

[DOI]

Vasileios Lioutas

Pattern Recognit. Lett., 2018

Learning bag-of-embedded-words representations for textual information retrieval.

[BibT_eX]

[DOI]

Pattern Recognit., 2018

PySEF: A python library for similarity-based dimensionality reduction.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2018

Style Decomposition for Improved Neural Style Transfer.

[BibT_eX]

[DOI]

Paraskevas Pegios

CoRR, 2018

Machine Learning for Forecasting Mid Price Movement using Limit Order Book Data.

[BibT_eX]

[DOI]

CoRR, 2018

Probabilistic Knowledge Transfer for Deep Representation Learning.

[BibT_eX]

[DOI]

CoRR, 2018

Learning Discriminative Representations for Big Data Clustering Using Similarity-Based Dimensionality Reduction.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Ioannis Pitas

Proceedings of the IEEE International Symposium on Circuits and Systems, 2018

Visual Question Answering using Explicit Visual Attention.

[BibT_eX]

[DOI]

Vasileios Lioutas

Proceedings of the IEEE International Symposium on Circuits and Systems, 2018

Neural Network Knowledge Transfer using Unsupervised Similarity Matching.

[BibT_eX]

[DOI]

Proceedings of the 24th International Conference on Pattern Recognition, 2018

Accelerating Similarity-Based Discriminant Analysis Using Class-Specific Prototypes.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

Fast, Visual and Interactive Semi-supervised Dimensionality Reduction.

[BibT_eX]

[DOI]

Dimitris Spathis

Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

Learning Deep Representations with Probabilistic Knowledge Transfer.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2018, 2018

Decoding Generic Visual Representations from Human Brain Activity Using Machine Learning.

[BibT_eX]

[DOI]

Angeliki Papadimitriou

Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

Deep reinforcement learning for frontal view person shooting using drones.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE Conference on Evolving and Adaptive Intelligent Systems, 2018

2017

Learning Neural Bag-of-Features for Large-Scale Image Retrieval.

[BibT_eX]

[DOI]

IEEE Trans. Syst. Man Cybern. Syst., 2017

Neural Bag-of-Features learning.

[BibT_eX]

[DOI]

Pattern Recognit., 2017

Forecasting Stock Prices from the Limit Order Book Using Convolutional Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 19th IEEE Conference on Business Informatics, 2017

Learning Bag-of-Features Pooling for Deep Convolutional Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Computer Vision, 2017

Using deep learning to detect price change indications in financial markets.

[BibT_eX]

[DOI]

Proceedings of the 25th European Signal Processing Conference, 2017

Time-series classification using neural Bag-of-Features.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 25th European Signal Processing Conference, 2017

Improving Face Pose Estimation Using Long-Term Temporal Averaging for Stochastic Optimization.

[BibT_eX]

[DOI]

Proceedings of the Engineering Applications of Neural Networks, 2017

2016

Entropy Optimized Feature-Based Bag-of-Words Representation for Information Retrieval.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2016

Spectral Clustering using Optimized Bag-of-Features.

[BibT_eX]

[DOI]

Proceedings of the 9th Hellenic Conference on Artificial Intelligence, 2016

Spatial Bag of Features Learning for Large Scale Face Image Retrieval.

[BibT_eX]

[DOI]

Proceedings of the Advances in Big Data, 2016

Bag of Embedded Words learning for text retrieval.

[BibT_eX]

[DOI]

Proceedings of the 23rd International Conference on Pattern Recognition, 2016

2015

MultiSpot: Spotting Sentiments with Semantic Aware Multilevel Cascaded Analysis.

[BibT_eX]

[DOI]

Despoina Chatzakou