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ORCIDMaria Tzelepi
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2020 – today
- 2024
[j12]Ourania Stentoumi, Paraskevi Nousi, Maria Tzelepi
, Anastasios Tefas:
AnIO: anchored input-output learning for time-series forecasting. Neural Comput. Appl. 36(6): 2683-2693 (2024)- [c36]Maria Tzelepi, Vasileios Mezaris:
Exploiting LMM-Based Knowledge for Image Classification Tasks. EANN 2024: 166-177 - [c35]Maria Tzelepi, Vasileios Mezaris:
Prototype Anchoring for Image Classification Tasks. EUSIPCO 2024: 1972-1976 - [c34]Anastasios Vafeidis, Maria Tzelepi, Anastasios Tefas:
Anchored Input-Output Encoding for Improving the Performance of Temporal Convolutional Networks. IISA 2024: 1-4 - [i11]Maria Tzelepi, Vasileios Mezaris:
Exploiting LMM-based knowledge for image classification tasks. CoRR abs/2406.03071 (2024) - [i10]Maria Tzelepi, Vasileios Mezaris:
Online Anchor-based Training for Image Classification Tasks. CoRR abs/2406.12662 (2024) - [i9]Maria Tzelepi, Vasileios Mezaris:
Disturbing Image Detection Using LMM-Elicited Emotion Embeddings. CoRR abs/2406.12668 (2024) - [i8]Maria Tzelepi, Vasileios Mezaris:
LMM-Regularized CLIP Embeddings for Image Classification. CoRR abs/2412.11663 (2024) - 2023
- [c33]Achilleas Andronikos, Maria Tzelepi, Anastasios Tefas:
Residual Error Learning for Electricity Demand Forecasting. EANN 2023: 391-402 - [c32]Maria Tzelepi, Paraskevi Nousi, Anastasios Tefas:
Improving Electric Load Demand Forecasting with Anchor-Based Forecasting Method. ICASSP 2023: 1-5 - [c31]Paraskevi Nousi, Maria Tzelepi, Anastasios Tefas:
Anchored Input-Output Learning for Electrical Load Demand Forecasting. ISCAS 2023: 1-5 - [c30]Dimosthenis Moralis, Maria Tzelepi, Anastasios Tefas:
Retrieval-Based Methodology for Few-Sample Logo Recognition. MMSP 2023: 1-6 - [i7]Maria Tzelepi, Charalampos Symeonidis, Paraskevi Nousi, Efstratios Kakaletsis, Theodoros Manousis, Pavlos Tosidis, Nikos Nikolaidis, Anastasios Tefas:
Deep Learning for Energy Time-Series Analysis and Forecasting. CoRR abs/2306.09129 (2023) - [i6]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:
Leveraging Deep Learning and Online Source Sentiment for Financial Portfolio Management. CoRR abs/2309.16679 (2023) - 2022
- [j11]Efstratios Kakaletsis, Charalampos Symeonidis, Maria Tzelepi, Ioannis Mademlis, Anastasios Tefas, Nikos Nikolaidis, Ioannis Pitas:
Computer Vision for Autonomous UAV Flight Safety: An Overview and a Vision-based Safe Landing Pipeline Example. ACM Comput. Surv. 54(9): 181:1-181:37 (2022) - [j10]Maria Tzelepi, Nikolaos Passalis, Anastasios Tefas:
Probabilistic online self-distillation. Neurocomputing 493: 592-604 (2022) - [c29]Maria Tzelepi, Nikolaos Tragkas, Anastasios Tefas:
Improving Binary Semantic Scene Segmentation for Robotics Applications. EANN 2022: 439-447 - [c28]Maria Tzelepi, Charalampos Symeonidis, Nikos Nikolaidis, Anastasios Tefas:
Multilayer Online Self-Acquired Knowledge Distillation. ICPR 2022: 4822-4828 - [c27]Maria Tzelepi, Charalampos Symeonidis, Nikos Nikolaidis, Anastasios Tefas:
Real-time synthetic-to-real human detection for robotics applications. IISA 2022: 1-5 - [c26]Maria Tzelepi, Anastasios Tefas:
Forecasting day-ahead electric load demand on Greek Energy Market. IISA 2022: 1-4 - [c25]Nikolaos Passalis, S. Pedrazzi, Robert Babuska, Wolfram Burgard, D. Dias, F. Ferro, Moncef Gabbouj, O. Green, Alexandros Iosifidis, Erdal Kayacan, Jens Kober, O. Michel, Nikos Nikolaidis, Paraskevi Nousi, Roel Pieters, Maria Tzelepi, Abhinav Valada, Anastasios Tefas:
OpenDR: An Open Toolkit for Enabling High Performance, Low Footprint Deep Learning for Robotics. IROS 2022: 12479-12484 - [c24]Nikitas Maragkos, Maria Tzelepi, Nikolaos Passalis, Apostolos N. Adamakos, Anastasios Tefas:
Electric load demand forecasting on Greek Energy Market using lightweight neural networks. IVMSP 2022: 1-5 - [c23]Nikolaos Passalis, Maria Tzelepi, Polychronis Charitidis, Stavros Doropoulos, Stavros Vologiannidis, Anastasios Tefas:
Deep Video Stream Information Analysis and Retrieval: Challenges and Opportunities. MIPR 2022: 336-341 - [i5]Nikolaos Passalis, S. Pedrazzi, Robert Babuska, Wolfram Burgard, D. Dias, F. Ferro, Moncef Gabbouj, O. Green, Alexandros Iosifidis, Erdal Kayacan, Jens Kober, O. Michel, Nikolaos Nikolaidis, Paraskevi Nousi, Roel Pieters, Maria Tzelepi, Abhinav Valada, Anastasios Tefas:
OpenDR: An Open Toolkit for Enabling High Performance, Low Footprint Deep Learning for Robotics. CoRR abs/2203.00403 (2022) - 2021
- [b1]Maria Tzelepi:
Deep learning techniques in digital media. Aristotle University Of Thessaloniki, Greece, 2021 - [j9]Maria Tzelepi, Nikolaos Passalis, Anastasios Tefas:
Online Subclass Knowledge Distillation. Expert Syst. Appl. 181: 115132 (2021) - [j8]Maria Tzelepi, Anastasios Tefas:
Graph Embedded Convolutional Neural Networks in Human Crowd Detection for Drone Flight Safety. IEEE Trans. Emerg. Top. Comput. Intell. 5(2): 191-204 (2021) - [j7]Nikolaos Passalis, Maria Tzelepi, Anastasios Tefas:
Probabilistic Knowledge Transfer for Lightweight Deep Representation Learning. IEEE Trans. Neural Networks Learn. Syst. 32(5): 2030-2039 (2021) - [c22]Maria Tzelepi, Anastasios Tefas:
Efficient Training of Lightweight Neural Networks Using Online Self-Acquired Knowledge Distillation. ICME 2021: 1-6 - [c21]Maria Tzelepi, Anastasios Tefas:
Semantic Scene Segmentation for Robotics Applications. IISA 2021: 1-4 - [i4]Maria Tzelepi, Anastasios Tefas:
Semantic Scene Segmentation for Robotics Applications. CoRR abs/2108.11128 (2021) - [i3]Maria Tzelepi, Anastasios Tefas:
Quadratic mutual information regularization in real-time deep CNN models. CoRR abs/2108.11774 (2021) - [i2]Maria Tzelepi, Anastasios Tefas:
Efficient training of lightweight neural networks using Online Self-Acquired Knowledge Distillation. CoRR abs/2108.11798 (2021) - 2020
- [j6]Maria Tzelepi, Anastasios Tefas:
Class-specific discriminant regularization in real-time deep CNN models for binary classification problems. Neural Process. Lett. 51(2): 1989-2005 (2020) - [j5]Maria Tzelepi, Anastasios Tefas:
Improving the performance of lightweight CNNs for binary classification using quadratic mutual information regularization. Pattern Recognit. 106: 107407 (2020) - [c20]Nikolaos Passalis, Maria Tzelepi, Anastasios Tefas:
Heterogeneous Knowledge Distillation Using Information Flow Modeling. CVPR 2020: 2336-2345 - [c19]Maria Tzelepi, Katerina Makri, Ioannis Petroulis, Maria Moundridou, Kyparisia A. Papanikolaou:
Gamification in online discussions: How do game elements affect critical thinking? ICALT 2020: 92-94 - [c18]Maria Tzelepi, Nikolaos Passalis, Anastasios Tefas:
Efficient Online Subclass Knowledge Distillation for Image Classification. ICPR 2020: 1007-1014 - [c17]Nikolaos Passalis, Maria Tzelepi, Anastasios Tefas:
Multilayer Probabilistic Knowledge Transfer for Learning Image Representations. ISCAS 2020: 1-5 - [c16]Kyparísia Papanikolaou, Maria Tzelepi, Maria Moundridou, Ioannis Petroulis:
Employing Social Network Analysis to Enhance Community Learning. ITS 2020: 342-352 - [c15]Maria Tzelepi, Anastasios Tefas:
Quadratic Mutual Information Regularization in Real-Time Deep CNN Models. MLSP 2020: 1-6 - [c14]Christos Nasioutzikis, Maria Tzelepi, Anastasios Tefas:
Deep Hashing Regularization Towards Hamming Space Retrieval. SETN 2020: 74-77 - [i1]Nikolaos Passalis, Maria Tzelepi, Anastasios Tefas:
Heterogeneous Knowledge Distillation using Information Flow Modeling. CoRR abs/2005.00727 (2020)
2010 – 2019
- 2019
- [c13]Maria Tzelepi, Anastasios Tefas:
Improving the Performance of Lightweight CNN models using Minimum Enclosing Ball Regularization. EUSIPCO 2019: 1-5 - [c12]Ioannis Petroulis, Maria Tzelepi, Kyparíssia Papanikolaou:
On the Design of Gamification Elements in Moodle Courses. GALA 2019: 428-437 - [c11]Maria Tzelepi, Anastasios Tefas:
Discriminant Analysis Regularization in Lightweight Deep CNN Models. ICIP 2019: 3841-3845 - [c10]Maria Tzelepi, Ioannis Petroulis, Kyparisia A. Papanikolaou:
Investigating Gamification and Learning Analytics Tools for Promoting and Measuring Communities of Inquiry in Moodle Courses. MIS4TEL 2019: 89-96 - [c9]Efstratios Kakaletsis, Maria Tzelepi, Pantelis I. Kaplanoglou, Charalampos Symeonidis, Nikos Nikolaidis, Anastasios Tefas, Ioannis Pitas:
Semantic Map Annotation Through UAV Video Analysis Using Deep Learning Models in ROS. MMM (2) 2019: 328-340 - 2018
- [j4]Maria Tzelepi, Anastasios Tefas:
Deep convolutional learning for Content Based Image Retrieval. Neurocomputing 275: 2467-2478 (2018) - [j3]Nikolaos Kondylidis, Maria Tzelepi, Anastasios Tefas:
Exploiting tf-idf in deep Convolutional Neural Networks for Content Based Image Retrieval. Multim. Tools Appl. 77(23): 30729-30748 (2018) - [j2]Eleftherios Daskalakis, Maria Tzelepi, Anastasios Tefas:
Learning deep spatiotemporal features for video captioning. Pattern Recognit. Lett. 116: 143-149 (2018) - [j1]Maria Tzelepi, Anastasios Tefas:
Deep convolutional image retrieval: A general framework. Signal Process. Image Commun. 63: 30-43 (2018) - [c8]Maria Tzelepi, Kyparisia A. Papanikolaou:
Critical Thinking for Personalization in Communities of Inquiry. ICALT 2018: 304-306 - [c7]Maria Tzelepi, Anastasios Tefas:
Fully Unsupervised Optimization of CNN Features Towards Content Based Image Retrieval. IVMSP 2018: 1-5 - [c6]Maria Tzelepi, Anastasios Tefas:
Fully Unsupervised Convolutional Learning for Fast Image Retrieval. SETN 2018: 1:1-1:6 - 2017
- [c5]Maria Tzelepi, Anastasios Tefas:
Human crowd detection for drone flight safety using convolutional neural networks. EUSIPCO 2017: 743-747 - 2016
- [c4]Kyparisia A. Papanikolaou, Evangelia Gouli, Katerina Makrh, Ioannis Sofos, Maria Tzelepi:
A Peer Evaluation Tool of Learning Designs. EC-TEL 2016: 193-206 - [c3]Maria Tzelepi, Anastasios Tefas:
Exploiting supervised learning for finetuning deep CNNs in content based image retrieval. ICPR 2016: 2918-2923 - [c2]Maria Tzelepi, Anastasios Tefas:
Relevance Feedback in Deep Convolutional Neural Networks for Content Based Image Retrieval. SETN 2016: 27:1-27:7 - 2014
- [c1]Maria Tzelepi:
Personalizing Learning Analytics to Support Collaborative Learning Design and Community Building. ICALT 2014: 771-773
Coauthor Index
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last updated on 2025-01-22 21:30 CET by the dblp team
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