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ORCIDDimitrios Michail 0001
Person information
- affiliation: Harokopio University of Athens, Greece
Other persons with the same name
- Dimitrios Michail 0002 — Democritus University of Thrace, Xanthi, Greece
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2020 – today
- 2024
[j24]Charalampos Davalas
, Dimitrios Michail, Christos Diou, Iraklis Varlamis, Konstantinos Tserpes:
A rehearsal framework for computational efficiency in online continual learning. Appl. Intell. 54(8): 6383-6399 (2024)- [j23]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: 7801-7824 (2024) - [c21]Christos Chronis, Iraklis Varlamis, Dimitrios Michail, Konstantinos Tserpes, George Dimitrakopoulos:
From Perception to Action: Leveraging LLMs and Scene Graphs for Intuitive Robotic Task Execution. BigDataService 2024: 11-18 - [c20]Manuela Canestrini, Ioanna Gogousou, Dimitrios Michail, Ioannis Giannopoulos:
Revealing Differences in Public Transport Share Through District-Wise Comparison and Relating Them to Network Properties. COSIT 2024: 10:1-10:18 - [i12]Angelos Zavras, Dimitrios Michail, Begüm Demir, Ioannis Papoutsis:
Mind the Modality Gap: Towards a Remote Sensing Vision-Language Model via Cross-modal Alignment. CoRR abs/2402.09816 (2024) - [i11]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 abs/2404.06437 (2024) - 2023
- [c19]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: 3756-3761 - [i10]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 abs/2306.10940 (2023) - [i9]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 abs/2311.03339 (2023) - [i8]Nikolaos-Ioannis Bountos, Maria Sdraka, Angelos Zavras, Ilektra Karasante, Andreas Karavias, Themistocles Herekakis, Angeliki Thanasou, Dimitrios Michail, Ioannis Papoutsis:
Kuro Siwo: 12.1 billion m2 under the water. A global multi-temporal satellite dataset for rapid flood mapping. CoRR abs/2311.12056 (2023) - 2022
- [j22]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): 70 (2022) - [j21]Dimitrios Michail, Nikos Kanakaris, Iraklis Varlamis:
Detection of fake news campaigns using graph convolutional networks. Int. J. Inf. Manag. Data Insights 2(2): 100104 (2022) - [j20]Nikolaos-Ioannis Bountos, Ioannis Papoutsis, Dimitrios Michail, Nantheera Anantrasirichai:
Self-Supervised Contrastive Learning for Volcanic Unrest Detection. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j19]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: 1-12 (2022) - [c18]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: 1452-1461 - [c17]Charalampos Davalas, Dimitrios Michail, Christos Diou, Iraklis Varlamis, Konstantinos Tserpes:
Computationally Efficient Rehearsal for Online Continual Learning. ICIAP (3) 2022: 39-49 - [c16]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: 78-83 - [i7]Nikolaos-Ioannis Bountos, Dimitrios Michail, Ioannis Papoutsis:
Learning class prototypes from Synthetic InSAR with Vision Transformers. CoRR abs/2201.03016 (2022) - [i6]Nikolaos-Ioannis Bountos, Ioannis Papoutsis, Dimitrios Michail, Nantheera Anantrasirichai:
Self-supervised Contrastive Learning for Volcanic Unrest Detection. CoRR abs/2202.04030 (2022) - [i5]Nikolaos-Ioannis Bountos, Ioannis Papoutsis, Dimitrios Michail, Andreas Karavias, Panagiotis Elias, Isaak S. Parcharidis:
Hephaestus: A large scale multitask dataset towards InSAR understanding. CoRR abs/2204.09435 (2022) - [i4]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 abs/2211.00534 (2022) - 2021
- [j18]Dimitrios Michail:
JHeaps: An open-source library of priority queues. SoftwareX 16: 100869 (2021) - [c15]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: 1-6 - [c14]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: 33-38 - [c13]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: 11-23 - [i3]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 abs/2107.06543 (2021) - [i2]Ioannis Papoutsis, Nikolaos-Ioannis Bountos, Angelos Zavras, Dimitrios Michail, Christos Tryfonopoulos:
Efficient deep learning models for land cover image classification. CoRR abs/2111.09451 (2021) - 2020
- [j17]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): 383-406 (2020) - [j16]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): 16:1-16:29 (2020) - [c12]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: 295-300
2010 – 2019
- 2019
- [j15]Dimitrios Michail, Antonios Makris, Iraklis Varlamis, Mark Sawyer:
Parallelization of large-scale drug-protein binding experiments. Future Gener. Comput. Syst. 97: 492-502 (2019) - [c11]Charalampos Davalas, Dimitrios Michail, Iraklis Varlamis:
Graph matching on social networks without any side information. IEEE BigData 2019: 1060-1065 - [i1]Dimitrios Michail, Joris Kinable, Barak Naveh, John V. Sichi:
JGraphT - A Java library for graph data structures and algorithms. CoRR abs/1904.08355 (2019) - 2017
- [c10]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: 201-208 - 2016
- [j14]Chien-Chung Huang, Telikepalli Kavitha, Kurt Mehlhorn, Dimitrios Michail:
Fair Matchings and Related Problems. Algorithmica 74(3): 1184-1203 (2016) - 2014
- [j13]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: 18-26 (2014) - 2013
- [c9]Chien-Chung Huang, Telikepalli Kavitha, Kurt Mehlhorn, Dimitrios Michail:
Fair Matchings and Related Problems. FSTTCS 2013: 339-350 - 2012
- [j12]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): 2010-2013 (2012) - [c8]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: 229-233 - [c7]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 - 2011
- [j11]Telikepalli Kavitha, Kurt Mehlhorn, Dimitrios Michail:
New Approximation Algorithms for Minimum Cycle Bases of Graphs. Algorithmica 59(4): 471-488 (2011) - [j10]Chien-Chung Huang, Telikepalli Kavitha, Dimitrios Michail, Meghana Nasre:
Bounded Unpopularity Matchings. Algorithmica 61(3): 738-757 (2011) - [j9]Dimitrios Michail:
An experimental comparison of single-sided preference matching algorithms. ACM J. Exp. Algorithmics 16 (2011)
2000 – 2009
- 2009
- [j8]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): 199-243 (2009) - [j7]Kurt Mehlhorn, Dimitrios Michail:
Minimum cycle bases: Faster and simpler. ACM Trans. Algorithms 6(1): 8:1-8:13 (2009) - 2008
- [j6]Telikepalli Kavitha, Kurt Mehlhorn, Dimitrios Michail, Katarzyna E. Paluch:
An [(O)\tilde](m2n)\tilde{O}(m^{2}n) Algorithm for Minimum Cycle Basis of Graphs. Algorithmica 52(3): 333-349 (2008) - [c6]Chien-Chung Huang, Telikepalli Kavitha, Dimitrios Michail, Meghana Nasre:
Bounded Unpopularity Matchings. SWAT 2008: 127-137 - 2007
- [j5]Craig Gotsman, Kanela Kaligosi, Kurt Mehlhorn, Dimitrios Michail, Evangelia Pyrga:
Cycle bases of graphs and sampled manifolds. Comput. Aided Geom. Des. 24(8-9): 464-480 (2007) - [j4]Telikepalli Kavitha, Kurt Mehlhorn, Dimitrios Michail, Katarzyna E. Paluch:
Strongly stable matchings in time O(nm) and extension to the hospitals-residents problem. ACM Trans. Algorithms 3(2): 15 (2007) - [j3]Dimitrios Michail:
Reducing rank-maximal to maximum weight matching. Theor. Comput. Sci. 389(1-2): 125-132 (2007) - [c5]Telikepalli Kavitha, Kurt Mehlhorn, Dimitrios Michail:
New Approximation Algorithms for Minimum Cycle Bases of Graphs. STACS 2007: 512-523 - 2006
- [b1]Dimitrios Michail:
Minimum cycle basis. Saarland University, Germany, 2006 - [j2]Kurt Mehlhorn, Dimitrios Michail:
Implementing minimum cycle basis algorithms. ACM J. Exp. Algorithmics 11 (2006) - [j1]Robert W. Irving, Telikepalli Kavitha, Kurt Mehlhorn, Dimitrios Michail, Katarzyna E. Paluch:
Rank-maximal matchings. ACM Trans. Algorithms 2(4): 602-610 (2006) - 2005
- [c4]Kurt Mehlhorn, Dimitrios Michail:
Implementing Minimum Cycle Basis Algorithms. WEA 2005: 32-43 - 2004
- [c3]Telikepalli Kavitha, Kurt Mehlhorn, Dimitrios Michail, Katarzyna E. Paluch:
A Faster Algorithm for Minimum Cycle Basis of Graphs. ICALP 2004: 846-857 - [c2]Robert W. Irving, Telikepalli Kavitha, Kurt Mehlhorn, Dimitrios Michail, Katarzyna E. Paluch:
Rank-maximal matchings. SODA 2004: 68-75 - [c1]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: 222-233
Coauthor Index
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