Maria Tzelepi

65 papers A* 1A 2B 10C 7Misc 2Journal 24Unranked 18
YearRankTypeTitle / Venue / Authors
2025 — conf
Improving Electric Load Demand Forecasting with Hard Representation Regularization.
EUSIPCO
Paraskevi Nousi, Maria Tzelepi
2025 J jnl
Improving Multimodal Hateful Meme Detection Exploiting LMM-Generated Knowledge.
CoRR
Maria Tzelepi, Vasileios Mezaris
2025 — conf
Improving multimodal hateful meme detection exploiting LMM-generated knowledge.
CVPR Workshops
Maria Tzelepi, Vasileios Mezaris
2024 J jnl
AnIO: anchored input-output learning for time-series forecasting.
Neural Comput. Appl.
Ourania Stentoumi, Paraskevi Nousi, Maria Tzelepi, Anastasios Tefas
2024 — conf
Anchored Input-Output Encoding for Improving the Performance of Temporal Convolutional Networks.
IISA
Anastasios Vafeidis, Maria Tzelepi, Anastasios Tefas
2024 J jnl
Disturbing Image Detection Using LMM-Elicited Emotion Embeddings.
CoRR
Maria Tzelepi, Vasileios Mezaris
2024 C conf
Exploiting LMM-Based Knowledge for Image Classification Tasks.
EANN
Maria Tzelepi, Vasileios Mezaris
2024 J jnl
Exploiting LMM-based knowledge for image classification tasks.
CoRR
Maria Tzelepi, Vasileios Mezaris
2024 C conf
LMM-Regularized CLIP Embeddings for Image Classification.
ISM
Maria Tzelepi, Vasileios Mezaris
2024 J jnl
LMM-Regularized CLIP Embeddings for Image Classification.
CoRR
Maria Tzelepi, Vasileios Mezaris
2024 B conf
Online Anchor-Based Training For Image Classification Tasks.
ICIP
Maria Tzelepi, Vasileios Mezaris
2024 J jnl
Online Anchor-based Training for Image Classification Tasks.
CoRR
Maria Tzelepi, Vasileios Mezaris
2024 — conf
Prototype Anchoring for Image Classification Tasks.
EUSIPCO
Maria Tzelepi, Vasileios Mezaris
2023 C conf
Anchored Input-Output Learning for Electrical Load Demand Forecasting.
ISCAS
Paraskevi Nousi, Maria Tzelepi, Anastasios Tefas
2023 J jnl
Deep Learning for Energy Time-Series Analysis and Forecasting.
CoRR
Maria Tzelepi, Charalampos Symeonidis, Paraskevi Nousi, Efstratios Kakaletsis, Theodoros Manousis, Pavlos Tosidis, Nikos Nikolaidis, Anastasios Tefas
2023 Misc conf
Improving Electric Load Demand Forecasting with Anchor-Based Forecasting Method.
ICASSP
Maria Tzelepi, Paraskevi Nousi, Anastasios Tefas
2023 J jnl
Leveraging Deep Learning and Online Source Sentiment for Financial Portfolio Management.
CoRR
Paraskevi Nousi, Loukia Avramelou, Georgios Rodinos, Maria Tzelepi, Theodoros Manousis, Konstantinos Tsampazis, Kyriakos Stefanidis, Dimitris Spanos, Emmanouil Kirtas, Pavlos Tosidis, Avraam Tsantekidis, Nikolaos Passalis, Anastasios Tefas
2023 C conf
Residual Error Learning for Electricity Demand Forecasting.
EANN
Achilleas Andronikos, Maria Tzelepi, Anastasios Tefas
2023 C conf
Retrieval-Based Methodology for Few-Sample Logo Recognition.
MMSP
Dimosthenis Moralis, Maria Tzelepi, Anastasios Tefas
2022 J jnl
Computer Vision for Autonomous UAV Flight Safety: An Overview and a Vision-based Safe Landing Pipeline Example.
ACM Comput. Surv.
Efstratios Kakaletsis, Charalampos Symeonidis, Maria Tzelepi, Ioannis Mademlis, Anastasios Tefas, Nikos Nikolaidis, Ioannis Pitas
2022 — conf
Deep Video Stream Information Analysis and Retrieval: Challenges and Opportunities.
MIPR
Nikolaos Passalis, Maria Tzelepi, Polychronis Charitidis, Stavros Doropoulos, Stavros Vologiannidis, Anastasios Tefas
2022 — conf
Electric load demand forecasting on Greek Energy Market using lightweight neural networks.
IVMSP
Nikitas Maragkos, Maria Tzelepi, Nikolaos Passalis, Apostolos N. Adamakos, Anastasios Tefas
2022 — conf
Forecasting day-ahead electric load demand on Greek Energy Market.
IISA
Maria Tzelepi, Anastasios Tefas
2022 C conf
Improving Binary Semantic Scene Segmentation for Robotics Applications.
EANN
Maria Tzelepi, Nikolaos Tragkas, Anastasios Tefas
2022 B conf
Multilayer Online Self-Acquired Knowledge Distillation.
ICPR
Maria Tzelepi, Charalampos Symeonidis, Nikos Nikolaidis, Anastasios Tefas
2022 A conf
OpenDR: An Open Toolkit for Enabling High Performance, Low Footprint Deep Learning for Robotics.
IROS
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
2022 J jnl
OpenDR: An Open Toolkit for Enabling High Performance, Low Footprint Deep Learning for Robotics.
CoRR
Nikolaos Passalis, S. Pedrazzi, Robert Babuska, Wolfram Burgard, D. Dias, F. Ferro, Moncef Gabbouj, Ole Green, Alexandros Iosifidis, Erdal Kayacan, Jens Kober, O. Michel, Nikolaos Nikolaidis, Paraskevi Nousi, Roel Pieters, Maria Tzelepi, Abhinav Valada, Anastasios Tefas
2022 J jnl
Probabilistic online self-distillation.
Neurocomputing
Maria Tzelepi, Nikolaos Passalis, Anastasios Tefas
2022 — conf
Real-time synthetic-to-real human detection for robotics applications.
IISA
Maria Tzelepi, Charalampos Symeonidis, Nikos Nikolaidis, Anastasios Tefas
2021 — —
Deep learning techniques in digital media
Maria Tzelepi
2021 A conf
Efficient Training of Lightweight Neural Networks Using Online Self-Acquired Knowledge Distillation.
ICME
Maria Tzelepi, Anastasios Tefas
2021 J jnl
Efficient training of lightweight neural networks using Online Self-Acquired Knowledge Distillation.
CoRR
Maria Tzelepi, Anastasios Tefas
2021 J jnl
Graph Embedded Convolutional Neural Networks in Human Crowd Detection for Drone Flight Safety.
IEEE Trans. Emerg. Top. Comput. Intell.
Maria Tzelepi, Anastasios Tefas
2021 J jnl
Online Subclass Knowledge Distillation.
Expert Syst. Appl.
Maria Tzelepi, Nikolaos Passalis, Anastasios Tefas
2021 J jnl
Probabilistic Knowledge Transfer for Lightweight Deep Representation Learning.
IEEE Trans. Neural Networks Learn. Syst.
Nikolaos Passalis, Maria Tzelepi, Anastasios Tefas
2021 J jnl
Quadratic mutual information regularization in real-time deep CNN models.
CoRR
Maria Tzelepi, Anastasios Tefas
2021 — conf
Semantic Scene Segmentation for Robotics Applications.
IISA
Maria Tzelepi, Anastasios Tefas
2021 J jnl
Semantic Scene Segmentation for Robotics Applications.
CoRR
Maria Tzelepi, Anastasios Tefas
2020 J jnl
Class-specific discriminant regularization in real-time deep CNN models for binary classification problems.
Neural Process. Lett.
Maria Tzelepi, Anastasios Tefas
2020 — conf
Deep Hashing Regularization Towards Hamming Space Retrieval.
SETN
Christos Nasioutzikis, Maria Tzelepi, Anastasios Tefas
2020 B conf
Efficient Online Subclass Knowledge Distillation for Image Classification.
ICPR
Maria Tzelepi, Nikolaos Passalis, Anastasios Tefas
2020 B conf
Employing Social Network Analysis to Enhance Community Learning.
ITS
Kyparísia Papanikolaou, Maria Tzelepi, Maria Moundridou, Ioannis Petroulis
2020 B conf
Gamification in online discussions: How do game elements affect critical thinking?
ICALT
Maria Tzelepi, Katerina Makri, Ioannis Petroulis, Maria Moundridou, Kyparisia A. Papanikolaou
2020 A* conf
Heterogeneous Knowledge Distillation Using Information Flow Modeling.
CVPR
Nikolaos Passalis, Maria Tzelepi, Anastasios Tefas
2020 J jnl
Heterogeneous Knowledge Distillation using Information Flow Modeling.
CoRR
Nikolaos Passalis, Maria Tzelepi, Anastasios Tefas
2020 J jnl
Improving the performance of lightweight CNNs for binary classification using quadratic mutual information regularization.
Pattern Recognit.
Maria Tzelepi, Anastasios Tefas
2020 C conf
Multilayer Probabilistic Knowledge Transfer for Learning Image Representations.
ISCAS
Nikolaos Passalis, Maria Tzelepi, Anastasios Tefas
2020 — conf
Quadratic Mutual Information Regularization in Real-Time Deep CNN Models.
MLSP
Maria Tzelepi, Anastasios Tefas
2019 B conf
Discriminant Analysis Regularization in Lightweight Deep CNN Models.
ICIP
Maria Tzelepi, Anastasios Tefas
2019 — conf
Improving the Performance of Lightweight CNN models using Minimum Enclosing Ball Regularization.
EUSIPCO
Maria Tzelepi, Anastasios Tefas
2019 Misc conf
Investigating Gamification and Learning Analytics Tools for Promoting and Measuring Communities of Inquiry in Moodle Courses.
MIS4TEL
Maria Tzelepi, Ioannis Petroulis, Kyparisia A. Papanikolaou
2019 — conf
On the Design of Gamification Elements in Moodle Courses.
GALA
Ioannis Petroulis, Maria Tzelepi, Kyparíssia Papanikolaou
2019 — conf
Semantic Map Annotation Through UAV Video Analysis Using Deep Learning Models in ROS.
MMM (2)
Efstratios Kakaletsis, Maria Tzelepi, Pantelis I. Kaplanoglou, Charalampos Symeonidis, Nikos Nikolaidis, Anastasios Tefas, Ioannis Pitas
2018 B conf
Critical Thinking for Personalization in Communities of Inquiry.
ICALT
Maria Tzelepi, Kyparisia A. Papanikolaou
2018 J jnl
Deep convolutional image retrieval: A general framework.
Signal Process. Image Commun.
Maria Tzelepi, Anastasios Tefas
2018 J jnl
Deep convolutional learning for Content Based Image Retrieval.
Neurocomputing
Maria Tzelepi, Anastasios Tefas
2018 J jnl
Exploiting tf-idf in deep Convolutional Neural Networks for Content Based Image Retrieval.
Multim. Tools Appl.
Nikolaos Kondylidis, Maria Tzelepi, Anastasios Tefas
2018 — conf
Fully Unsupervised Convolutional Learning for Fast Image Retrieval.
SETN
Maria Tzelepi, Anastasios Tefas
2018 — conf
Fully Unsupervised Optimization of CNN Features Towards Content Based Image Retrieval.
IVMSP
Maria Tzelepi, Anastasios Tefas
2018 J jnl
Learning deep spatiotemporal features for video captioning.
Pattern Recognit. Lett.
Eleftherios Daskalakis, Maria Tzelepi, Anastasios Tefas
2017 — conf
Human crowd detection for drone flight safety using convolutional neural networks.
EUSIPCO
Maria Tzelepi, Anastasios Tefas
2016 B conf
A Peer Evaluation Tool of Learning Designs.
EC-TEL
Kyparisia A. Papanikolaou, Evangelia Gouli, Katerina Makrh, Ioannis Sofos, Maria Tzelepi
2016 B conf
Exploiting supervised learning for finetuning deep CNNs in content based image retrieval.
ICPR
Maria Tzelepi, Anastasios Tefas
2016 — conf
Relevance Feedback in Deep Convolutional Neural Networks for Content Based Image Retrieval.
SETN
Maria Tzelepi, Anastasios Tefas
2014 B conf
Personalizing Learning Analytics to Support Collaborative Learning Design and Community Building.
ICALT
Maria Tzelepi