Maria Tzelepi

Paraskevi Nousi

Efstratios Kakaletsis

CoRR, 2023

Retrieval-Based Methodology for Few-Sample Logo Recognition.

[BibT_eX]

[DOI]

Dimosthenis Moralis

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

Anchored Input-Output Learning for Electrical Load Demand Forecasting.

[BibT_eX]

[DOI]

Paraskevi Nousi

Proceedings of the IEEE International Symposium on Circuits and Systems, 2023

Improving Electric Load Demand Forecasting with Anchor-Based Forecasting Method.

[BibT_eX]

[DOI]

Paraskevi Nousi

Proceedings of the IEEE International Conference on Acoustics, 2023

Residual Error Learning for Electricity Demand Forecasting.

[BibT_eX]

[DOI]

Achilleas Andronikos

Proceedings of the Engineering Applications of Neural Networks, 2023

2022

Probabilistic online self-distillation.

[BibT_eX]

[DOI]

Neurocomputing, 2022

Computer Vision for Autonomous UAV Flight Safety: An Overview and a Vision-based Safe Landing Pipeline Example.

[BibT_eX]

[DOI]

Efstratios Kakaletsis

ACM Comput. Surv., 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

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

Forecasting day-ahead electric load demand on Greek Energy Market.

[BibT_eX]

[DOI]

Proceedings of the 13th International Conference on Information, 2022

Real-time synthetic-to-real human detection for robotics applications.

[BibT_eX]

[DOI]

Nikos Nikolaidis

Proceedings of the 13th International Conference on Information, 2022

Multilayer Online Self-Acquired Knowledge Distillation.

[BibT_eX]

[DOI]

Nikos Nikolaidis

Proceedings of the 26th International Conference on Pattern Recognition, 2022

Improving Binary Semantic Scene Segmentation for Robotics Applications.

[BibT_eX]

[DOI]

Nikolaos Tragkas

Proceedings of the Engineering Applications of Neural Networks, 2022

2021

Deep learning techniques in digital media

[BibT_eX]

[DOI]

PhD thesis, 2021

Probabilistic Knowledge Transfer for Lightweight Deep Representation Learning.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2021

Graph Embedded Convolutional Neural Networks in Human Crowd Detection for Drone Flight Safety.

[BibT_eX]

[DOI]

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

Online Subclass Knowledge Distillation.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2021

Semantic Scene Segmentation for Robotics Applications.

[BibT_eX]

[DOI]

Proceedings of the 12th International Conference on Information, 2021

Efficient Training of Lightweight Neural Networks Using Online Self-Acquired Knowledge Distillation.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

2020

Improving the performance of lightweight CNNs for binary classification using quadratic mutual information regularization.

[BibT_eX]

[DOI]

Pattern Recognit., 2020

Class-specific discriminant regularization in real-time deep CNN models for binary classification problems.

[BibT_eX]

[DOI]

Neural Process. Lett., 2020

Deep Hashing Regularization Towards Hamming Space Retrieval.

[BibT_eX]

[DOI]

Christos Nasioutzikis

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

Quadratic Mutual Information Regularization in Real-Time Deep CNN Models.

[BibT_eX]

[DOI]

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

Employing Social Network Analysis to Enhance Community Learning.

[BibT_eX]

[DOI]

Kyparísia Papanikolaou

Maria Moundridou

Ioannis Petroulis

Proceedings of the Intelligent Tutoring Systems - 16th International Conference, 2020

Multilayer Probabilistic Knowledge Transfer for Learning Image Representations.

[BibT_eX]

[DOI]

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

Efficient Online Subclass Knowledge Distillation for Image Classification.

[BibT_eX]

[DOI]

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

Gamification in online discussions: How do game elements affect critical thinking?

[BibT_eX]

[DOI]

Proceedings of the 20th IEEE International Conference on Advanced Learning Technologies, 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

Semantic Map Annotation Through UAV Video Analysis Using Deep Learning Models in ROS.

[BibT_eX]

[DOI]

Efstratios Kakaletsis

Pantelis I. Kaplanoglou

Nikos Nikolaidis

Ioannis Pitas

Proceedings of the MultiMedia Modeling - 25th International Conference, 2019

Investigating Gamification and Learning Analytics Tools for Promoting and Measuring Communities of Inquiry in Moodle Courses.

[BibT_eX]

[DOI]

Ioannis Petroulis

Proceedings of the Methodologies and Intelligent Systems for Technology Enhanced Learning, 2019

Discriminant Analysis Regularization in Lightweight Deep CNN Models.

[BibT_eX]

[DOI]

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

On the Design of Gamification Elements in Moodle Courses.

[BibT_eX]

[DOI]

Ioannis Petroulis

Kyparíssia Papanikolaou

Proceedings of the Games and Learning Alliance - 8th International Conference, 2019

Improving the Performance of Lightweight CNN models using Minimum Enclosing Ball Regularization.

[BibT_eX]

[DOI]

Proceedings of the 27th European Signal Processing Conference, 2019

2018

Deep convolutional image retrieval: A general framework.

[BibT_eX]

[DOI]

Signal Process. Image Commun., 2018

Learning deep spatiotemporal features for video captioning.

[BibT_eX]

[DOI]

Eleftherios Daskalakis

Pattern Recognit. Lett., 2018

Exploiting tf-idf in deep Convolutional Neural Networks for Content Based Image Retrieval.

[BibT_eX]

[DOI]

Nikolaos Kondylidis

Multim. Tools Appl., 2018

Deep convolutional learning for Content Based Image Retrieval.

[BibT_eX]

[DOI]

Neurocomputing, 2018

Fully Unsupervised Convolutional Learning for Fast Image Retrieval.

[BibT_eX]

[DOI]

Proceedings of the 10th Hellenic Conference on Artificial Intelligence, 2018

Fully Unsupervised Optimization of CNN Features Towards Content Based Image Retrieval.

[BibT_eX]

[DOI]

Proceedings of the 13th IEEE Image, Video, and Multidimensional Signal Processing Workshop, 2018

Critical Thinking for Personalization in Communities of Inquiry.

[BibT_eX]

[DOI]

Proceedings of the 18th IEEE International Conference on Advanced Learning Technologies, 2018

2017

Human crowd detection for drone flight safety using convolutional neural networks.

[BibT_eX]

[DOI]

Proceedings of the 25th European Signal Processing Conference, 2017

2016

Relevance Feedback in Deep Convolutional Neural Networks for Content Based Image Retrieval.

[BibT_eX]

[DOI]

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

Exploiting supervised learning for finetuning deep CNNs in content based image retrieval.

[BibT_eX]

[DOI]

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

A Peer Evaluation Tool of Learning Designs.

[BibT_eX]

[DOI]

Proceedings of the Adaptive and Adaptable Learning, 2016

2014

Personalizing Learning Analytics to Support Collaborative Learning Design and Community Building.

[BibT_eX]

[DOI]