| 2025 | CVPR | Improving multimodal hateful meme detection exploiting LMM-generated knowledge. | Maria Tzelepi, Vasileios Mezaris |
| 2024 | EANN | Exploiting LMM-Based Knowledge for Image Classification Tasks. | Maria Tzelepi, Vasileios Mezaris |
| 2024 | ICIP | Online Anchor-Based Training For Image Classification Tasks. | Maria Tzelepi, Vasileios Mezaris |
| 2024 | ISM | LMM-Regularized CLIP Embeddings for Image Classification. | Maria Tzelepi, Vasileios Mezaris |
| 2023 | EANN | Residual Error Learning for Electricity Demand Forecasting. | Achilleas Andronikos, Maria Tzelepi, Anastasios Tefas |
| 2023 | ICASSP | Improving Electric Load Demand Forecasting with Anchor-Based Forecasting Method. | Maria Tzelepi, Paraskevi Nousi, Anastasios Tefas |
| 2023 | ISCAS | Anchored Input-Output Learning for Electrical Load Demand Forecasting. | Paraskevi Nousi, Maria Tzelepi, Anastasios Tefas |
| 2023 | MMSP | Retrieval-Based Methodology for Few-Sample Logo Recognition. | Dimosthenis Moralis, Maria Tzelepi, Anastasios Tefas |
| 2022 | EANN | Improving Binary Semantic Scene Segmentation for Robotics Applications. | Maria Tzelepi, Nikolaos Tragkas, Anastasios Tefas |
| 2022 | ICPR | Multilayer Online Self-Acquired Knowledge Distillation. | Maria Tzelepi, Charalampos Symeonidis, Nikos Nikolaidis, Anastasios Tefas |
| 2022 | IROS | 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, Nikos Nikolaidis, Paraskevi Nousi, Roel Pieters, Maria Tzelepi, Abhinav Valada, Anastasios Tefas |
| 2020 | CVPR | Heterogeneous Knowledge Distillation Using Information Flow Modeling. | Nikolaos Passalis, Maria Tzelepi, Anastasios Tefas |
| 2020 | ICALT | Gamification in online discussions: How do game elements affect critical thinking? | Maria Tzelepi, Katerina Makri, Ioannis Petroulis, Maria Moundridou, Kyparisia A. Papanikolaou |
| 2020 | ICPR | Efficient Online Subclass Knowledge Distillation for Image Classification. | Maria Tzelepi, Nikolaos Passalis, Anastasios Tefas |
| 2020 | ISCAS | Multilayer Probabilistic Knowledge Transfer for Learning Image Representations. | Nikolaos Passalis, Maria Tzelepi, Anastasios Tefas |
| 2020 | ITS | Employing Social Network Analysis to Enhance Community Learning. | Kyparsia Papanikolaou, Maria Tzelepi, Maria Moundridou, Ioannis Petroulis |
| 2019 | ICIP | Discriminant Analysis Regularization in Lightweight Deep CNN Models. | Maria Tzelepi, Anastasios Tefas |
| 2019 | MIS4TEL | Investigating Gamification and Learning Analytics Tools for Promoting and Measuring Communities of Inquiry in Moodle Courses. | Maria Tzelepi, Ioannis Petroulis, Kyparisia A. Papanikolaou |
| 2019 | MMM | Semantic Map Annotation Through UAV Video Analysis Using Deep Learning Models in ROS. | Efstratios Kakaletsis, Maria Tzelepi, Pantelis I. Kaplanoglou, Charalampos Symeonidis, Nikos Nikolaidis, Anastasios Tefas, Ioannis Pitas |
| 2018 | ICALT | Critical Thinking for Personalization in Communities of Inquiry. | Maria Tzelepi, Kyparisia A. Papanikolaou |
| 2016 | ICPR | Exploiting supervised learning for finetuning deep CNNs in content based image retrieval. | Maria Tzelepi, Anastasios Tefas |
| 2014 | ICALT | Personalizing Learning Analytics to Support Collaborative Learning Design and Community Building. | Maria Tzelepi |