Dimitrios Michail

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 33

Top Topics

Media Processing

Top Venues

Publications

Maria Sdraka, Alkinoos Dimakos, Alexandros Malounis, Zisoula Ntasiou, Konstantinos Karantzalos, Dimitrios Michail, Ioannis Papoutsis
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. 17 (2024)
Dimitrios Michail, Lefki-Ioanna Panagiotou, Charalampos Davalas, Ioannis Prapas, Spyros Kondylatos, Nikolaos-Ioannis Bountos, Ioannis Papoutsis
Seasonal Fire Prediction using Spatio-Temporal Deep Neural Networks. CoRR (2024)
Angelos Zavras, Dimitrios Michail, Begüm Demir, Ioannis Papoutsis
Mind the Modality Gap: Towards a Remote Sensing Vision-Language Model via Cross-modal Alignment. CoRR (2024)
Charalampos Davalas, Dimitrios Michail, Christos Diou, Iraklis Varlamis, Konstantinos Tserpes
A rehearsal framework for computational efficiency in online continual learning. Appl. Intell. 54 (8) (2024)
Ioannis Prapas, Nikolaos-Ioannis Bountos, Spyros Kondylatos, Dimitrios Michail, Gustau Camps-Valls, Ioannis Papoutsis
TeleViT: Teleconnection-driven Transformers Improve Subseasonal to Seasonal Wildfire Forecasting. ICCV (Workshops) (2023)
Nikolaos-Ioannis Bountos, Maria Sdraka, Angelos Zavras, Ilektra Karasante, Andreas Karavias, Themistocles Herekakis, Angeliki Thanasou, Dimitrios Michail, Ioannis Papoutsis
under the water. A global multi-temporal satellite dataset for rapid flood mapping. CoRR (2023)
Ioannis Prapas, Nikolaos-Ioannis Bountos, Spyros Kondylatos, Dimitrios Michail, Gustau Camps-Valls, Ioannis Papoutsis
TeleViT: Teleconnection-driven Transformers Improve Subseasonal to Seasonal Wildfire Forecasting. CoRR (2023)
Maria Sdraka, Alkinoos Dimakos, Alexandros Malounis, Zisoula Ntasiou, Konstantinos Karantzalos, Dimitrios Michail, Ioannis Papoutsis
FLOGA: A machine learning ready dataset, a benchmark and a novel deep learning model for burnt area mapping with Sentinel-2. CoRR (2023)
Nikolaos-Ioannis Bountos, Ioannis Papoutsis, Dimitrios Michail, Nantheera Anantrasirichai
Self-Supervised Contrastive Learning for Volcanic Unrest Detection. IEEE Geosci. Remote. Sens. Lett. 19 (2022)
Charalampos Davalas, Dimitrios Michail, Iraklis Varlamis, Konstantinos Tserpes
A Cloud-based Continual Learning System for Road Sign Classification in Autonomous Driving. CI4PM/PAI@WCCI (2022)
Nikolaos-Ioannis Bountos, Ioannis Papoutsis, Dimitrios Michail, Nantheera Anantrasirichai
Self-supervised Contrastive Learning for Volcanic Unrest Detection. CoRR (2022)
Iraklis Varlamis, Dimitrios Michail, Foteini Glykou, Panagiotis Tsantilas
A Survey on the Use of Graph Convolutional Networks for Combating Fake News. Future Internet 14 (3) (2022)
Dimitrios Michail, Nikos Kanakaris, Iraklis Varlamis
Detection of fake news campaigns using graph convolutional networks. Int. J. Inf. Manag. Data Insights 2 (2) (2022)
Nikolaos-Ioannis Bountos, Ioannis Papoutsis, Dimitrios Michail, Andreas Karavias, Panagiotis Elias, Isaak S. Parcharidis
Hephaestus: A large scale multitask dataset towards InSAR understanding. CVPR Workshops (2022)
Nikolaos-Ioannis Bountos, Dimitrios Michail, Ioannis Papoutsis
Learning From Synthetic InSAR With Vision Transformers: The Case of Volcanic Unrest Detection. IEEE Trans. Geosci. Remote. Sens. 60 (2022)
Nikolaos-Ioannis Bountos, Dimitrios Michail, Ioannis Papoutsis
Learning class prototypes from Synthetic InSAR with Vision Transformers. CoRR (2022)
Ioannis Prapas, Akanksha Ahuja, Spyros Kondylatos, Ilektra Karasante, Eleanna Panagiotou, Lázaro Alonso, Charalampos Davalas, Dimitrios Michail, Nuno Carvalhais, Ioannis Papoutsis
Deep Learning for Global Wildfire Forecasting. CoRR (2022)
Charalampos Davalas, Dimitrios Michail, Christos Diou, Iraklis Varlamis, Konstantinos Tserpes
Computationally Efficient Rehearsal for Online Continual Learning. ICIAP (3) (2022)
Nikolaos-Ioannis Bountos, Ioannis Papoutsis, Dimitrios Michail, Andreas Karavias, Panagiotis Elias, Isaak S. Parcharidis
Hephaestus: A large scale multitask dataset towards InSAR understanding. CoRR (2022)
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
TEACHING - Trustworthy autonomous cyber-physical applications through human-centred intelligence. CoRR (2021)
Dimitrios Michail
JHeaps: An open-source library of priority queues. SoftwareX 16 (2021)
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
TEACHING - Trustworthy autonomous cyber-physical applications through human-centred intelligence. COINS (2021)
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
Dependable Integration Concepts for Human-Centric AI-Based Systems. SAFECOMP Workshops (2021)
Ioannis Papoutsis, Nikolaos-Ioannis Bountos, Angelos Zavras, Dimitrios Michail, Christos Tryfonopoulos
Efficient deep learning models for land cover image classification. CoRR (2021)
Christos Chronis, Christos Sardianos, Iraklis Varlamis, Dimitrios Michail, Konstantinos Tserpes
A driving profile recommender system for autonomous driving using sensor data and reinforcement learning. PCI (2021)
Athanasios I. Salamanis, George A. Gravvanis, Christos K. Filelis-Papadopoulos, Dimitrios Michail
Benchmark Comparison of Methods for Approximate Neighborhood Estimation of Road Segments in Large-Scale Traffic Networks. PCI (2020)
Iraklis Varlamis, Dimitrios Michail, Pavlos Polydoras, Panagiotis Tsantilas
A distributed architecture for large scale news and social media processing. Int. J. Web Eng. Technol. 15 (4) (2020)
Dimitrios Michail, Joris Kinable, Barak Naveh, John V. Sichi
JGraphT - A Java Library for Graph Data Structures and Algorithms. ACM Trans. Math. Softw. 46 (2) (2020)
Dimitrios Michail, Antonios Makris, Iraklis Varlamis, Mark Sawyer
Parallelization of large-scale drug-protein binding experiments. Future Gener. Comput. Syst. 97 (2019)
Charalampos Davalas, Dimitrios Michail, Iraklis Varlamis
Graph matching on social networks without any side information. IEEE BigData (2019)
Dimitrios Michail, Joris Kinable, Barak Naveh, John V. Sichi
JGraphT - A Java library for graph data structures and algorithms. CoRR (2019)
Antonios Makris, Dimitrios Michail, Iraklis Varlamis, Chronis Dimitropoulos, Konstantinos Tserpes, George Tsatsaronis, Joachim Haupt, Mark Sawyer
Parallelization of Large-Scale Drug-Protein Binding Experiments. HPCS (2017)
Chien-Chung Huang, Telikepalli Kavitha, Kurt Mehlhorn, Dimitrios Michail
Fair Matchings and Related Problems. Algorithmica 74 (3) (2016)
Kostis Kyzirakos, Manos Karpathiotakis, George Garbis, Charalampos Nikolaou, Konstantina Bereta, Ioannis Papoutsis, Themos Herekakis, Dimitrios Michail, Manolis Koubarakis, Charalambos Kontoes
Wildfire monitoring using satellite images, ontologies and linked geospatial data. J. Web Semant. 24 (2014)
Chien-Chung Huang, Telikepalli Kavitha, Kurt Mehlhorn, Dimitrios Michail
Fair Matchings and Related Problems. FSTTCS (2013)
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
Building Virtual Earth Observatories Using Ontologies and Linked Geospatial Data. RR (2012)
Kostis Kyzirakos, Manos Karpathiotakis, George Garbis, Charalampos Nikolaou, Konstantina Bereta, Michael Sioutis, Ioannis Papoutsis, Themistoklis Herekakis, Dimitrios Michail, Manolis Koubarakis, Charalambos Kontoes
Real Time Fire Monitoring Using Semantic Web and Linked Data Technologies. ISWC (Posters & Demos) (2012)
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
TELEIOS: A Database-Powered Virtual Earth Observatory. Proc. VLDB Endow. 5 (12) (2012)
Dimitrios Michail
An experimental comparison of single-sided preference matching algorithms. ACM J. Exp. Algorithmics 16 (2011)
Chien-Chung Huang, Telikepalli Kavitha, Dimitrios Michail, Meghana Nasre
Bounded Unpopularity Matchings. Algorithmica 61 (3) (2011)
Telikepalli Kavitha, Kurt Mehlhorn, Dimitrios Michail
New Approximation Algorithms for Minimum Cycle Bases of Graphs. Algorithmica 59 (4) (2011)
Kurt Mehlhorn, Dimitrios Michail
Minimum cycle bases: Faster and simpler. ACM Trans. Algorithms 6 (1) (2009)
Telikepalli Kavitha, Christian Liebchen, Kurt Mehlhorn, Dimitrios Michail, Romeo Rizzi, Torsten Ueckerdt, Katharina Anna Zweig
Cycle bases in graphs characterization, algorithms, complexity, and applications. Comput. Sci. Rev. 3 (4) (2009)
Telikepalli Kavitha, Kurt Mehlhorn, Dimitrios Michail, Katarzyna E. Paluch
)\tilde{O}(m^{2}n) Algorithm for Minimum Cycle Basis of Graphs. Algorithmica 52 (3) (2008)
Chien-Chung Huang, Telikepalli Kavitha, Dimitrios Michail, Meghana Nasre
Bounded Unpopularity Matchings. SWAT (2008)
Craig Gotsman, Kanela Kaligosi, Kurt Mehlhorn, Dimitrios Michail, Evangelia Pyrga
Cycle bases of graphs and sampled manifolds. Comput. Aided Geom. Des. 24 (8-9) (2007)
Dimitrios Michail
Reducing rank-maximal to maximum weight matching. Theor. Comput. Sci. 389 (1-2) (2007)
Telikepalli Kavitha, Kurt Mehlhorn, Dimitrios Michail
New Approximation Algorithms for Minimum Cycle Bases of Graphs. STACS (2007)
Telikepalli Kavitha, Kurt Mehlhorn, Dimitrios Michail, Katarzyna E. Paluch
) and extension to the hospitals-residents problem. ACM Trans. Algorithms 3 (2) (2007)
Kurt Mehlhorn, Dimitrios Michail
Implementing minimum cycle basis algorithms. ACM J. Exp. Algorithmics 11 (2006)
Robert W. Irving, Telikepalli Kavitha, Kurt Mehlhorn, Dimitrios Michail, Katarzyna E. Paluch
Rank-maximal matchings. ACM Trans. Algorithms 2 (4) (2006)
Kurt Mehlhorn, Dimitrios Michail
Implementing Minimum Cycle Basis Algorithms. WEA (2005)
Telikepalli Kavitha, Kurt Mehlhorn, Dimitrios Michail, Katarzyna E. Paluch
Strongly Stable Matchings in Time O(nm) and Extension to the Hospitals-Residents Problem. STACS (2004)
Telikepalli Kavitha, Kurt Mehlhorn, Dimitrios Michail, Katarzyna E. Paluch
A Faster Algorithm for Minimum Cycle Basis of Graphs. ICALP (2004)
Robert W. Irving, Telikepalli Kavitha, Kurt Mehlhorn, Dimitrios Michail, Katarzyna E. Paluch
Rank-maximal matchings. SODA (2004)