Dimitrios Michail

67 papers A* 3A 2Journal 42Unranked 19
YearRankTypeTitle / Venue / Authors
2026 J jnl
Magnifying change: Rapid burn scar mapping with multi-resolution, multi-source satellite imagery.
CoRR
Maria Sdraka, Dimitrios Michail, Ioannis Papoutsis
2025 J jnl
FireCastNet: Earth-as-a-Graph for Seasonal Fire Prediction.
CoRR
Dimitrios Michail, Charalampos Davalas, Lefki-Ioanna Panagiotou, Ioannis Prapas, Spyros Kondylatos, Nikolaos-Ioannis Bountos, Ioannis Papoutsis
2025 J jnl
GAIA: A Global, Multi-modal, Multi-scale Vision-Language Dataset for Remote Sensing Image Analysis.
CoRR
Angelos Zavras, Dimitrios Michail, Xiaoxiang Zhu, Begüm Demir, Ioannis Papoutsis
2025 — conf
Legal Assistance in Low-Resource Languages: Evaluating RAG and Fine-Tuned LLMs for Greek e-Governance.
FLLM
Maria Tsourma, Dimitrios Michail, Iraklis Varlamis, Anastasios Drosou, Dimitrios Tzovaras
2025 J jnl
On the Generalization of Representation Uncertainty in Earth Observation.
CoRR
Spyros Kondylatos, Nikolaos-Ioannis Bountos, Dimitrios Michail, Xiao Xiang Zhu, Gustau Camps-Valls, Ioannis Papoutsis
2025 J jnl
Real-Time Quality Monitoring and Anomaly Detection for Vision Sensors in Connected and Autonomous Vehicles.
IEEE Access
Elena Politi, Charalampos Davalas, Christos Chronis, George Dimitrakopoulos, Dimitrios Michail, Iraklis Varlamis
2025 J jnl
TeleViT1.0: Teleconnection-aware Vision Transformers for Subseasonal to Seasonal Wildfire Pattern Forecasts.
CoRR
Ioannis Prapas, Nikolaos Papadopoulos, Nikolaos-Ioannis Bountos, Dimitrios Michail, Gustau Camps-Valls, Ioannis Papoutsis
2024 J jnl
A rehearsal framework for computational efficiency in online continual learning.
Appl. Intell.
Charalampos Davalas, Dimitrios Michail, Christos Diou, Iraklis Varlamis, Konstantinos Tserpes
2024 J jnl
FLOGA: A Machine-Learning-Ready Dataset, a Benchmark, and a Novel Deep Learning Model for Burnt Area Mapping With Sentinel-2.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Maria Sdraka, Alkinoos Dimakos, Alexandros Malounis, Zisoula Ntasiou, Konstantinos Karantzalos, Dimitrios Michail, Ioannis Papoutsis
2024 — conf
From Perception to Action: Leveraging LLMs and Scene Graphs for Intuitive Robotic Task Execution.
BigDataService
Christos Chronis, Iraklis Varlamis, Dimitrios Michail, Konstantinos Tserpes, George Dimitrakopoulos
2024 A* conf
Kuro Siwo: 33 billion m
NeurIPS
Nikolaos-Ioannis Bountos, Maria Sdraka, Angelos Zavras, Andreas Karavias, Ilektra Karasante, Themistocles Herekakis, Angeliki Thanasou, Dimitrios Michail, Ioannis Papoutsis
2024 J jnl
Mind the Modality Gap: Towards a Remote Sensing Vision-Language Model via Cross-modal Alignment.
CoRR
Angelos Zavras, Dimitrios Michail, Begüm Demir, Ioannis Papoutsis
2024 — conf
Revealing Differences in Public Transport Share Through District-Wise Comparison and Relating Them to Network Properties.
COSIT
Manuela Canestrini, Ioanna Gogousou, Dimitrios Michail, Ioannis Giannopoulos
2024 J jnl
Seasonal Fire Prediction using Spatio-Temporal Deep Neural Networks.
CoRR
Dimitrios Michail, Lefki-Ioanna Panagiotou, Charalampos Davalas, Ioannis Prapas, Spyros Kondylatos, Nikolaos-Ioannis Bountos, Ioannis Papoutsis
2024 — conf
The Impact of Traffic Lights on Modal Split and Route Choice: A use-case in
AGILE Conf.
Ioanna Gogousou, Manuela Canestrini, Negar Alinaghi, Dimitrios Michail, Ioannis Giannopoulos
2023 J jnl
FLOGA: A machine learning ready dataset, a benchmark and a novel deep learning model for burnt area mapping with Sentinel-2.
CoRR
Maria Sdraka, Alkinoos Dimakos, Alexandros Malounis, Zisoula Ntasiou, Konstantinos Karantzalos, Dimitrios Michail, Ioannis Papoutsis
2023 J jnl
Kuro Siwo: 12.1 billion m
CoRR
Nikolaos-Ioannis Bountos, Maria Sdraka, Angelos Zavras, Ilektra Karasante, Andreas Karavias, Themistocles Herekakis, Angeliki Thanasou, Dimitrios Michail, Ioannis Papoutsis
2023 — conf
TeleViT: Teleconnection-driven Transformers Improve Subseasonal to Seasonal Wildfire Forecasting.
ICCV (Workshops)
Ioannis Prapas, Nikolaos-Ioannis Bountos, Spyros Kondylatos, Dimitrios Michail, Gustau Camps-Valls, Ioannis Papoutsis
2023 J jnl
TeleViT: Teleconnection-driven Transformers Improve Subseasonal to Seasonal Wildfire Forecasting.
CoRR
Ioannis Prapas, Nikolaos-Ioannis Bountos, Spyros Kondylatos, Dimitrios Michail, Gustau Camps-Valls, Ioannis Papoutsis
2022 — conf
A Cloud-based Continual Learning System for Road Sign Classification in Autonomous Driving.
CI4PM/PAI@WCCI
Charalampos Davalas, Dimitrios Michail, Iraklis Varlamis, Konstantinos Tserpes
2022 J jnl
A Survey on the Use of Graph Convolutional Networks for Combating Fake News.
Future Internet
Iraklis Varlamis, Dimitrios Michail, Foteini Glykou, Panagiotis Tsantilas
2022 — conf
Computationally Efficient Rehearsal for Online Continual Learning.
ICIAP (3)
Charalampos Davalas, Dimitrios Michail, Christos Diou, Iraklis Varlamis, Konstantinos Tserpes
2022 J jnl
Deep Learning for Global Wildfire Forecasting.
CoRR
Ioannis Prapas, Akanksha Ahuja, Spyros Kondylatos, Ilektra Karasante, Eleanna Panagiotou, Lázaro Alonso, Charalampos Davalas, Dimitrios Michail, Nuno Carvalhais, Ioannis Papoutsis
2022 J jnl
Detection of fake news campaigns using graph convolutional networks.
Int. J. Inf. Manag. Data Insights
Dimitrios Michail, Nikos Kanakaris, Iraklis Varlamis
2022 — conf
Hephaestus: A large scale multitask dataset towards InSAR understanding.
CVPR Workshops
Nikolaos-Ioannis Bountos, Ioannis Papoutsis, Dimitrios Michail, Andreas Karavias, Panagiotis Elias, Isaak S. Parcharidis
2022 J jnl
Hephaestus: A large scale multitask dataset towards InSAR understanding.
CoRR
Nikolaos-Ioannis Bountos, Ioannis Papoutsis, Dimitrios Michail, Andreas Karavias, Panagiotis Elias, Isaak S. Parcharidis
2022 J jnl
Learning From Synthetic InSAR With Vision Transformers: The Case of Volcanic Unrest Detection.
IEEE Trans. Geosci. Remote. Sens.
Nikolaos-Ioannis Bountos, Dimitrios Michail, Ioannis Papoutsis
2022 J jnl
Learning class prototypes from Synthetic InSAR with Vision Transformers.
CoRR
Nikolaos-Ioannis Bountos, Dimitrios Michail, Ioannis Papoutsis
2022 J jnl
Self-Supervised Contrastive Learning for Volcanic Unrest Detection.
IEEE Geosci. Remote. Sens. Lett.
Nikolaos-Ioannis Bountos, Ioannis Papoutsis, Dimitrios Michail, Nantheera Anantrasirichai
2022 J jnl
Self-supervised Contrastive Learning for Volcanic Unrest Detection.
CoRR
Nikolaos-Ioannis Bountos, Ioannis Papoutsis, Dimitrios Michail, Nantheera Anantrasirichai
2021 — conf
A driving profile recommender system for autonomous driving using sensor data and reinforcement learning.
PCI
Christos Chronis, Christos Sardianos, Iraklis Varlamis, Dimitrios Michail, Konstantinos Tserpes
2021 — conf
Dependable Integration Concepts for Human-Centric AI-Based Systems.
SAFECOMP Workshops
Georg Macher, Siranush Akarmazyan, Eric Armengaud, Davide Bacciu, Calogero Calandra, Herbert Danzinger, Patrizio Dazzi, Charalampos Davalas, Maria Carmela De Gennaro, Angela Dimitriou, Jürgen Dobaj, Maid Dzambic, Lorenzo Giraudi, Sylvain Girbal, Dimitrios Michail, Roberta Peroglio, Rosaria Potenza, Farank Pourdanesh, Matthias Seidl, Christos Sardianos, Konstantinos Tserpes, Jakob Valtl, Iraklis Varlamis, Omar Veledar
2021 J jnl
Efficient deep learning models for land cover image classification.
CoRR
Ioannis Papoutsis, Nikolaos-Ioannis Bountos, Angelos Zavras, Dimitrios Michail, Christos Tryfonopoulos
2021 J jnl
JHeaps: An open-source library of priority queues.
SoftwareX
Dimitrios Michail
2021 — conf
TEACHING - Trustworthy autonomous cyber-physical applications through human-centred intelligence.
COINS
Davide Bacciu, Siranush Akarmazyan, Eric Armengaud, Manlio Bacco, George Bravos, Calogero Calandra, Emanuele Carlini, Antonio Carta, Pietro Cassarà, Massimo Coppola, Charalampos Davalas, Patrizio Dazzi, Maria Carmela De Gennaro, Daniele Di Sarli, Jürgen Dobaj, Claudio Gallicchio, Sylvain Girbal, Alberto Gotta, Riccardo Groppo, Vincenzo Lomonaco, Georg Macher, Daniele Mazzei, Gabriele Mencagli, Dimitrios Michail, Alessio Micheli, Roberta Peroglio, Salvatore Petroni, Rosaria Potenza, Farank Pourdanesh, Christos Sardianos, Konstantinos Tserpes, Fulvio Tagliabo, Jakob Valtl, Iraklis Varlamis, Omar Veledar
2021 J jnl
TEACHING - Trustworthy autonomous cyber-physical applications through human-centred intelligence.
CoRR
Davide Bacciu, Siranush Akarmazyan, Eric Armengaud, Manlio Bacco, George Bravos, Calogero Calandra, Emanuele Carlini, Antonio Carta, Pietro Cassarà, Massimo Coppola, Charalampos Davalas, Patrizio Dazzi, Maria Carmela De Gennaro, Daniele Di Sarli, Jürgen Dobaj, Claudio Gallicchio, Sylvain Girbal, Alberto Gotta, Riccardo Groppo, Vincenzo Lomonaco, Georg Macher, Daniele Mazzei, Gabriele Mencagli, Dimitrios Michail, Alessio Micheli, Roberta Peroglio, Salvatore Petroni, Rosaria Potenza, Farank Pourdanesh, Christos Sardianos, Konstantinos Tserpes, Fulvio Tagliabo, Jakob Valtl, Iraklis Varlamis, Omar Veledar
2020 J jnl
A distributed architecture for large scale news and social media processing.
Int. J. Web Eng. Technol.
Iraklis Varlamis, Dimitrios Michail, Pavlos Polydoras, Panagiotis Tsantilas
2020 — conf
Benchmark Comparison of Methods for Approximate Neighborhood Estimation of Road Segments in Large-Scale Traffic Networks.
PCI
Athanasios I. Salamanis, George A. Gravvanis, Christos K. Filelis-Papadopoulos, Dimitrios Michail
2020 J jnl
JGraphT - A Java Library for Graph Data Structures and Algorithms.
ACM Trans. Math. Softw.
Dimitrios Michail, Joris Kinable, Barak Naveh, John V. Sichi
2019 — conf
Graph matching on social networks without any side information.
IEEE BigData
Charalampos Davalas, Dimitrios Michail, Iraklis Varlamis
2019 J jnl
JGraphT - A Java library for graph data structures and algorithms.
CoRR
Dimitrios Michail, Joris Kinable, Barak Naveh, John V. Sichi
2019 J jnl
Parallelization of large-scale drug-protein binding experiments.
Future Gener. Comput. Syst.
Dimitrios Michail, Antonios Makris, Iraklis Varlamis, Mark Sawyer
2017 — conf
Parallelization of Large-Scale Drug-Protein Binding Experiments.
HPCS
Antonios Makris, Dimitrios Michail, Iraklis Varlamis, Chronis Dimitropoulos, Konstantinos Tserpes, George Tsatsaronis, Joachim Haupt, Mark Sawyer
2016 J jnl
Fair Matchings and Related Problems.
Algorithmica
Chien-Chung Huang, Telikepalli Kavitha, Kurt Mehlhorn, Dimitrios Michail
2014 J jnl
Wildfire monitoring using satellite images, ontologies and linked geospatial data.
J. Web Semant.
Kostis Kyzirakos, Manos Karpathiotakis, George Garbis, Charalampos Nikolaou, Konstantina Bereta, Ioannis Papoutsis, Themos Herekakis, Dimitrios Michail, Manolis Koubarakis, Charalambos Kontoes
2013 — conf
Fair Matchings and Related Problems.
FSTTCS
Chien-Chung Huang, Telikepalli Kavitha, Kurt Mehlhorn, Dimitrios Michail
2012 — conf
Building Virtual Earth Observatories Using Ontologies and Linked Geospatial Data.
RR
Manolis Koubarakis, Manos Karpathiotakis, Kostis Kyzirakos, Charalampos Nikolaou, Stavros Vassos, George Garbis, Michael Sioutis, Konstantina Bereta, Stefan Manegold, Martin L. Kersten, Milena Ivanova, Holger Pirk, Ying Zhang, Charalambos Kontoes, Ioannis Papoutsis, Themistoklis Herekakis, Dimitrios Michail, Mihai Datcu, Gottfried Schwarz, Corneliu Octavian Dumitru, Daniela Espinoza-Molina, Katrin Molch, Ugo Di Giammatteo, Manuela Sagona, Sergio Perelli, Eva Klien, Thorsten Reitz, Robert Gregor
2012 — conf
Real Time Fire Monitoring Using Semantic Web and Linked Data Technologies.
ISWC (Posters & Demos)
Kostis Kyzirakos, Manos Karpathiotakis, George Garbis, Charalampos Nikolaou, Konstantina Bereta, Michael Sioutis, Ioannis Papoutsis, Themistoklis Herekakis, Dimitrios Michail, Manolis Koubarakis, Charalambos Kontoes
2012 J jnl
TELEIOS: A Database-Powered Virtual Earth Observatory.
Proc. VLDB Endow.
Manolis Koubarakis, Kostis Kyzirakos, Manos Karpathiotakis, Charalampos Nikolaou, Stavros Vassos, George Garbis, Michael Sioutis, Konstantina Bereta, Dimitrios Michail, Charalambos Kontoes, Ioannis Papoutsis, Themos Herekakis, Stefan Manegold, Martin L. Kersten, Milena Ivanova, Holger Pirk, Ying Zhang, Mihai Datcu, Gottfried Schwarz, Corneliu Octavian Dumitru, Daniela Espinoza-Molina, Katrin Molch, Ugo Di Giammatteo, Manuela Sagona, Sergio Perelli, Thorsten Reitz, Eva Klien, Robert Gregor
2011 J jnl
An experimental comparison of single-sided preference matching algorithms.
ACM J. Exp. Algorithmics
Dimitrios Michail
2011 J jnl
Bounded Unpopularity Matchings.
Algorithmica
Chien-Chung Huang, Telikepalli Kavitha, Dimitrios Michail, Meghana Nasre
2011 J jnl
New Approximation Algorithms for Minimum Cycle Bases of Graphs.
Algorithmica
Telikepalli Kavitha, Kurt Mehlhorn, Dimitrios Michail
2009 J jnl
Cycle bases in graphs characterization, algorithms, complexity, and applications.
Comput. Sci. Rev.
Telikepalli Kavitha, Christian Liebchen, Kurt Mehlhorn, Dimitrios Michail, Romeo Rizzi, Torsten Ueckerdt, Katharina A. Zweig
2009 J jnl
Minimum cycle bases: Faster and simpler.
ACM Trans. Algorithms
Kurt Mehlhorn, Dimitrios Michail
2008 J jnl
An [(
Algorithmica
Telikepalli Kavitha, Kurt Mehlhorn, Dimitrios Michail, Katarzyna E. Paluch
2008 — conf
Bounded Unpopularity Matchings.
SWAT
Chien-Chung Huang, Telikepalli Kavitha, Dimitrios Michail, Meghana Nasre
2007 J jnl
Cycle bases of graphs and sampled manifolds.
Comput. Aided Geom. Des.
Craig Gotsman, Kanela Kaligosi, Kurt Mehlhorn, Dimitrios Michail, Evangelia Pyrga
2007 A conf
New Approximation Algorithms for Minimum Cycle Bases of Graphs.
STACS
Telikepalli Kavitha, Kurt Mehlhorn, Dimitrios Michail
2007 J jnl
Reducing rank-maximal to maximum weight matching.
Theor. Comput. Sci.
Dimitrios Michail
2007 J jnl
Strongly stable matchings in time
ACM Trans. Algorithms
Telikepalli Kavitha, Kurt Mehlhorn, Dimitrios Michail, Katarzyna E. Paluch
2006 J jnl
Implementing minimum cycle basis algorithms.
ACM J. Exp. Algorithmics
Kurt Mehlhorn, Dimitrios Michail
2006 — —
Minimum cycle basis.
Dimitrios Michail
2006 J jnl
Rank-maximal matchings.
ACM Trans. Algorithms
Robert W. Irving, Telikepalli Kavitha, Kurt Mehlhorn, Dimitrios Michail, Katarzyna E. Paluch
2005 — conf
Implementing Minimum Cycle Basis Algorithms.
WEA
Kurt Mehlhorn, Dimitrios Michail
2004 A* conf
A Faster Algorithm for Minimum Cycle Basis of Graphs.
ICALP
Telikepalli Kavitha, Kurt Mehlhorn, Dimitrios Michail, Katarzyna E. Paluch
2004 A* conf
Rank-maximal matchings.
SODA
Robert W. Irving, Telikepalli Kavitha, Kurt Mehlhorn, Dimitrios Michail, Katarzyna E. Paluch
2004 A conf
Strongly Stable Matchings in Time O(nm) and Extension to the Hospitals-Residents Problem.
STACS
Telikepalli Kavitha, Kurt Mehlhorn, Dimitrios Michail, Katarzyna E. Paluch