Personalizing Learning Analytics to Support Collaborative Learning Design and Community Building. - Maria Tzelepi (ICALT, 2014)

A Peer Evaluation Tool of Learning Designs. - Kyparisia A. Papanikolaou; Evangelia Gouli; Katerina Makrh; Ioannis Sofos; Maria Tzelepi (EC-TEL, 2016)

Exploiting supervised learning for finetuning deep CNNs in content based image retrieval. - Maria Tzelepi; Anastasios Tefas (ICPR, 2016)

Relevance Feedback in Deep Convolutional Neural Networks for Content Based Image Retrieval. - Maria Tzelepi; Anastasios Tefas (SETN, 2016)

Human crowd detection for drone flight safety using convolutional neural networks. - Maria Tzelepi; Anastasios Tefas (EUSIPCO, 2017)

Critical Thinking for Personalization in Communities of Inquiry. - Maria Tzelepi; Kyparisia A. Papanikolaou (ICALT, 2018)

Fully Unsupervised Optimization of CNN Features Towards Content Based Image Retrieval. - Maria Tzelepi; Anastasios Tefas (IVMSP, 2018)

Fully Unsupervised Convolutional Learning for Fast Image Retrieval. - Maria Tzelepi; Anastasios Tefas (SETN, 2018)

Deep convolutional learning for Content Based Image Retrieval. - Maria Tzelepi; Anastasios Tefas (Neurocomputing, 2018)

Exploiting tf-idf in deep Convolutional Neural Networks for Content Based Image Retrieval. - Nikolaos Kondylidis; Maria Tzelepi; Anastasios Tefas (Multim. Tools Appl., 2018)

Learning deep spatiotemporal features for video captioning. - Eleftherios Daskalakis; Maria Tzelepi; Anastasios Tefas (Pattern Recognit. Lett., 2018)

Deep convolutional image retrieval: A general framework. - Maria Tzelepi; Anastasios Tefas (Signal Process. Image Commun., 2018)

Improving the Performance of Lightweight CNN models using Minimum Enclosing Ball Regularization. - Maria Tzelepi; Anastasios Tefas (EUSIPCO, 2019)

On the Design of Gamification Elements in Moodle Courses. - Ioannis Petroulis; Maria Tzelepi; Kyparíssia Papanikolaou (GALA, 2019)

Discriminant Analysis Regularization in Lightweight Deep CNN Models. - Maria Tzelepi; Anastasios Tefas (ICIP, 2019)

Investigating Gamification and Learning Analytics Tools for Promoting and Measuring Communities of Inquiry in Moodle Courses. - Maria Tzelepi; Ioannis Petroulis; Kyparisia A. Papanikolaou (MIS4TEL, 2019)

Semantic Map Annotation Through UAV Video Analysis Using Deep Learning Models in ROS. - Efstratios Kakaletsis; Maria Tzelepi; Pantelis I. Kaplanoglou; Charalampos Symeonidis; Nikos Nikolaidis 001; Anastasios Tefas; Ioannis Pitas (MMM (2), 2019)

Heterogeneous Knowledge Distillation Using Information Flow Modeling. - Nikolaos Passalis; Maria Tzelepi; Anastasios Tefas (CVPR, 2020)

Gamification in online discussions: How do game elements affect critical thinking? - Maria Tzelepi; Katerina Makri; Ioannis Petroulis; Maria Moundridou; Kyparisia A. Papanikolaou (ICALT, 2020)

Efficient Online Subclass Knowledge Distillation for Image Classification. - Maria Tzelepi; Nikolaos Passalis; Anastasios Tefas (ICPR, 2020)

Multilayer Probabilistic Knowledge Transfer for Learning Image Representations. - Nikolaos Passalis; Maria Tzelepi; Anastasios Tefas (ISCAS, 2020)

Employing Social Network Analysis to Enhance Community Learning. - Kyparísia Papanikolaou; Maria Tzelepi; Maria Moundridou; Ioannis Petroulis (ITS, 2020)

Quadratic Mutual Information Regularization in Real-Time Deep CNN Models. - Maria Tzelepi; Anastasios Tefas (MLSP, 2020)

Deep Hashing Regularization Towards Hamming Space Retrieval. - Christos Nasioutzikis; Maria Tzelepi; Anastasios Tefas (SETN, 2020)

Class-specific discriminant regularization in real-time deep CNN models for binary classification problems. - Maria Tzelepi; Anastasios Tefas (Neural Process. Lett., 2020)

Improving the performance of lightweight CNNs for binary classification using quadratic mutual information regularization. - Maria Tzelepi; Anastasios Tefas (Pattern Recognit., 2020)

Efficient Training of Lightweight Neural Networks Using Online Self-Acquired Knowledge Distillation. - Maria Tzelepi; Anastasios Tefas (ICME, 2021)

Semantic Scene Segmentation for Robotics Applications. - Maria Tzelepi; Anastasios Tefas (IISA, 2021)

Online Subclass Knowledge Distillation. - Maria Tzelepi; Nikolaos Passalis; Anastasios Tefas (Expert Syst. Appl., 2021)

Graph Embedded Convolutional Neural Networks in Human Crowd Detection for Drone Flight Safety. - Maria Tzelepi; Anastasios Tefas (IEEE Trans. Emerg. Top. Comput. Intell., 2021)

Probabilistic Knowledge Transfer for Lightweight Deep Representation Learning. - Nikolaos Passalis; Maria Tzelepi; Anastasios Tefas (IEEE Trans. Neural Networks Learn. Syst., 2021)

Deep learning techniques in digital media - Maria Tzelepi (2021)

Improving Binary Semantic Scene Segmentation for Robotics Applications. - Maria Tzelepi; Nikolaos Tragkas; Anastasios Tefas (EANN, 2022)

Multilayer Online Self-Acquired Knowledge Distillation. - Maria Tzelepi; Charalampos Symeonidis; Nikos Nikolaidis 001; Anastasios Tefas (ICPR, 2022)

Real-time synthetic-to-real human detection for robotics applications. - Maria Tzelepi; Charalampos Symeonidis; Nikos Nikolaidis 001; Anastasios Tefas (IISA, 2022)

Forecasting day-ahead electric load demand on Greek Energy Market. - Maria Tzelepi; Anastasios Tefas (IISA, 2022)

OpenDR: An Open Toolkit for Enabling High Performance, Low Footprint Deep Learning for Robotics. - Nikolaos Passalis; S. Pedrazzi; Robert Babuska; Wolfram Burgard; D. Dias; F. Ferro; Moncef Gabbouj; Ole Green; Alexandros Iosifidis; Erdal Kayacan; Jens Kober; O. Michel; et al. (IROS, 2022)

Electric load demand forecasting on Greek Energy Market using lightweight neural networks. - Nikitas Maragkos; Maria Tzelepi; Nikolaos Passalis; Apostolos N. Adamakos; Anastasios Tefas (IVMSP, 2022)

Deep Video Stream Information Analysis and Retrieval: Challenges and Opportunities. - Nikolaos Passalis; Maria Tzelepi; Polychronis Charitidis; Stavros Doropoulos; Stavros Vologiannidis; Anastasios Tefas (MIPR, 2022)

Computer Vision for Autonomous UAV Flight Safety: An Overview and a Vision-based Safe Landing Pipeline Example. - Efstratios Kakaletsis; Charalampos Symeonidis; Maria Tzelepi; Ioannis Mademlis; Anastasios Tefas; Nikos Nikolaidis 001; Ioannis Pitas (ACM Comput. Surv., 2022)

Probabilistic online self-distillation. - Maria Tzelepi; Nikolaos Passalis; Anastasios Tefas (Neurocomputing, 2022)

Residual Error Learning for Electricity Demand Forecasting. - Achilleas Andronikos; Maria Tzelepi; Anastasios Tefas (EANN, 2023)

Improving Electric Load Demand Forecasting with Anchor-Based Forecasting Method. - Maria Tzelepi; Paraskevi Nousi; Anastasios Tefas (ICASSP, 2023)

Anchored Input-Output Learning for Electrical Load Demand Forecasting. - Paraskevi Nousi; Maria Tzelepi; Anastasios Tefas (ISCAS, 2023)

Retrieval-Based Methodology for Few-Sample Logo Recognition. - Dimosthenis Moralis; Maria Tzelepi; Anastasios Tefas (MMSP, 2023)

Deep Learning for Energy Time-Series Analysis and Forecasting. - Maria Tzelepi; Charalampos Symeonidis; Paraskevi Nousi; Efstratios Kakaletsis; Theodoros Manousis; Pavlos Tosidis; Nikos Nikolaidis 001; Anastasios Tefas (CoRR, 2023)

Leveraging Deep Learning and Online Source Sentiment for Financial Portfolio Management. - Paraskevi Nousi; Loukia Avramelou; Georgios Rodinos; Maria Tzelepi; Theodoros Manousis; Konstantinos Tsampazis; Kyriakos Stefanidis; Dimitris Spanos; Emmanouil Kirtas; Pavlos Tosidis; Avraam Tsantekidis; Nikolaos Passalis; et al. (CoRR, 2023)

Exploiting LMM-Based Knowledge for Image Classification Tasks. - Maria Tzelepi; Vasileios Mezaris (EANN, 2024)

Prototype Anchoring for Image Classification Tasks. - Maria Tzelepi; Vasileios Mezaris (EUSIPCO, 2024)

Online Anchor-Based Training For Image Classification Tasks. - Maria Tzelepi; Vasileios Mezaris (ICIP, 2024)

Anchored Input-Output Encoding for Improving the Performance of Temporal Convolutional Networks. - Anastasios Vafeidis; Maria Tzelepi; Anastasios Tefas (IISA, 2024)

LMM-Regularized CLIP Embeddings for Image Classification. - Maria Tzelepi; Vasileios Mezaris (ISM, 2024)

Disturbing Image Detection Using LMM-Elicited Emotion Embeddings. - Maria Tzelepi; Vasileios Mezaris (CoRR, 2024)

AnIO: anchored input-output learning for time-series forecasting. - Ourania Stentoumi; Paraskevi Nousi; Maria Tzelepi; Anastasios Tefas (Neural Comput. Appl., 2024)

Improving multimodal hateful meme detection exploiting LMM-generated knowledge. - Maria Tzelepi; Vasileios Mezaris (CVPR Workshops, 2025)