Cycle bases in graphs characterization, algorithms, complexity, and applications T Kavitha, C Liebchen, K Mehlhorn, D Michail, R Rizzi, T Ueckerdt, ... Computer Science Review 3 (4), 199-243, 2009 | 227 | 2009 |
JGraphT—A Java library for graph data structures and algorithms D Michail, J Kinable, B Naveh, JV Sichi ACM Transactions on Mathematical Software (TOMS) 46 (2), 1-29, 2020 | 147 | 2020 |
Rank-maximal matchings RW Irving, T Kavitha, K Mehlhorn, D Michail, KE Paluch ACM Transactions on Algorithms (TALG) 2 (4), 602-610, 2006 | 147 | 2006 |
A faster algorithm for minimum cycle basis of graphs T Kavitha, K Mehlhorn, D Michail, K Paluch Automata, Languages and Programming: 31st International Colloquium, ICALP …, 2004 | 86 | 2004 |
Minimum cycle bases: Faster and simpler K Mehlhorn, D Michail ACM Transactions on Algorithms (TALG) 6 (1), 1-13, 2009 | 56 | 2009 |
Implementing minimum cycle basis algorithms K Mehlhorn, D Michail Journal of Experimental Algorithmics (JEA) 11, 2.5-es, 2007 | 50 | 2007 |
Wildfire monitoring using satellite images, ontologies and linked geospatial data K Kyzirakos, M Karpathiotakis, G Garbis, C Nikolaou, K Bereta, ... Journal of web semantics 24, 18-26, 2014 | 47 | 2014 |
An algorithm for minimum cycle basis of graphs T Kavitha, K Mehlhorn, D Michail, KE Paluch Algorithmica 52 (3), 333-349, 2008 | 44 | 2008 |
Strongly stable matchings in time O(nm) and extension to the hospitals-residents problem T Kavitha, K Mehlhorn, D Michail, KE Paluch ACM Transactions on Algorithms (TALG) 3 (2), 15-es, 2007 | 41 | 2007 |
A methodology for near real-time change detection between Unmanned Aerial Vehicle and wide area satellite images AL Fytsilis, A Prokos, KD Koutroumbas, D Michail, CC Kontoes ISPRS Journal of Photogrammetry and Remote Sensing 119, 165-186, 2016 | 36 | 2016 |
Strongly Stable Matchings in Time O(nm) and Extension to the Hospitals-Residents Problem T Kavitha, K Mehlhorn, D Michail, K Paluch Annual Symposium on Theoretical Aspects of Computer Science, 222-233, 2004 | 35 | 2004 |
Benchmarking and scaling of deep learning models for land cover image classification I Papoutsis, NI Bountos, A Zavras, D Michail, C Tryfonopoulos ISPRS Journal of Photogrammetry and Remote Sensing 195, 250-268, 2023 | 33* | 2023 |
Reducing rank-maximal to maximum weight matching D Michail Theoretical Computer Science 389 (1-2), 125-132, 2007 | 33 | 2007 |
Bounded unpopularity matchings CC Huang, T Kavitha, D Michail, M Nasre Algorithmica 61 (3), 738-757, 2011 | 29 | 2011 |
Teaching-trustworthy autonomous cyber-physical applications through human-centred intelligence D Bacciu, S Akarmazyan, E Armengaud, M Bacco, G Bravos, C Calandra, ... 2021 IEEE International Conference on Omni-Layer Intelligent Systems (COINS …, 2021 | 27 | 2021 |
Fair Matchings and Related Problems CC Huang, T Kavitha, K Mehlhorn, D Michail IARCS Annual Conference on Foundations of Software Technology and …, 2013 | 27 | 2013 |
Challenges for Qualitative Spatial Reasoning in Linked Geospatial Data M Koubarakis, K Kyzirakos, M Karpathiotakis, C Nikolaou, M Sioutis, ... Workshop on Benchmark and Applications of Spatial Reasoning (IJCAI’11), 33-38, 2011 | 27 | 2011 |
Managing big, linked, and open earth-observation data: Using the teleios\/leo software stack M Koubarakis, K Kyzirakos, C Nikolaou, G Garbis, K Bereta, R Dogani, ... IEEE Geoscience and Remote Sensing Magazine 4 (3), 23-37, 2016 | 26 | 2016 |
Detection of fake news campaigns using graph convolutional networks D Michail, N Kanakaris, I Varlamis International Journal of Information Management Data Insights 2 (2), 100104, 2022 | 24 | 2022 |
A survey on the use of graph convolutional networks for combating fake news I Varlamis, D Michail, F Glykou, P Tsantilas Future Internet 14 (3), 70, 2022 | 24 | 2022 |