| Vegetation anomalies caused by antecedent precipitation in most of the world C Papagiannopoulou, DG Miralles, WA Dorigo, NEC Verhoest, ... Environmental Research Letters 12 (7), 074016, 2017 | 146 | 2017 |
| A non-linear Granger-causality framework to investigate climate–vegetation dynamics C Papagiannopoulou, DG Miralles, S Decubber, M Demuzere, ... Geoscientific Model Development 10 (5), 1945-1960, 2017 | 137* | 2017 |
| A review on fact extraction and verification G Bekoulis, C Papagiannopoulou, N Deligiannis ACM Computing Surveys (CSUR) 55 (1), 1-35, 2021 | 44 | 2021 |
| Fast pathogen identification using single-cell matrix-assisted laser desorption/ionization-aerosol time-of-flight mass spectrometry data and deep learning methods C Papagiannopoulou, R Parchen, P Rubbens, W Waegeman Analytical chemistry 92 (11), 7523-7531, 2020 | 40 | 2020 |
| Discovering and exploiting deterministic label relationships in multi-label learning C Papagiannopoulou, G Tsoumakas, I Tsamardinos Proceedings of the 21th ACM SIGKDD international conference on knowledge …, 2015 | 24 | 2015 |
| Concept-based image clustering and summarization of event-related image collections C Papagiannopoulou, V Mezaris Proceedings of the 1st ACM International Workshop on Human Centered Event …, 2014 | 21 | 2014 |
| Global hydro-climatic biomes identified via multitask learning C Papagiannopoulou, DG Miralles, M Demuzere, NEC Verhoest, ... Geoscientific Model Development 11 (10), 4139-4153, 2018 | 17 | 2018 |
| A non-linear Granger-causality framework to investigate climate–vegetation dynamics. Geoscientific Model Development, 10 (5), 1945–1960. doi: 10.5194 C Papagiannopoulou, DG Miralles, S Decubber, M Demuzere, ... gmd-10-1945-2017, 2017 | 15 | 2017 |
| CERTH at MediaEval 2014 Synchronization of Multi-User Event Media Task. K Apostolidis, C Papagiannopoulou, V Mezaris MediaEval, 2014 | 12 | 2014 |
| Analyzing Granger causality in climate data with time series classification methods C Papagiannopoulou, S Decubber, DG Miralles, M Demuzere, ... Machine Learning and Knowledge Discovery in Databases: European Conference …, 2017 | 11 | 2017 |
| Understanding the impact of evidence-aware sentence selection for fact checking G Bekoulis, C Papagiannopoulou, N Deligiannis Proceedings of the Fourth Workshop on NLP for Internet Freedom: Censorship …, 2021 | 8 | 2021 |
| VERGE: an interactive search engine for browsing video collections A Moumtzidou, K Avgerinakis, E Apostolidis, V Aleksić, F Markatopoulou, ... MultiMedia Modeling: 20th Anniversary International Conference, MMM 2014 …, 2014 | 7 | 2014 |
| Global hydro-climatic biomes identified via multi-task learning. Geosci. Model Dev. 11, 4139–4153. doi: 10.5194 C Papagiannopoulou, D Gonzalez Miralles, M Demuzere, N Verhoest, ... gmd-2018-92, 2018 | 6 | 2018 |
| EC, and Waegeman, W.: Global hydro-climatic biomes identified via multitask learning, Geosci. Model Dev., 11, 4139–4153 C Papagiannopoulou, DG Miralles, M Demuzere, N Verhoest | 5 | 2018 |
| Investigating time series classification techniques for rapid pathogen identification with single-cell MALDI-TOF mass spectrum data C Papagiannopoulou, R Parchen, W Waegeman Machine Learning and Knowledge Discovery in Databases: European Conference …, 2020 | 4 | 2020 |
| A non-linear data-driven approach to reveal global vegetation sensitivity to climate DG Miralles, M Demuzere, NEC Verhoest, WA Dorigo, ... 2017 9th International Workshop on the Analysis of Multitemporal Remote …, 2017 | 4 | 2017 |
| Detecting granger-causal relationships in global spatio-temporal climate data via multi-task learning C Papagiannopoulou, DG Miralles, M Demuzere, NEC Verhoest, ... Proc. SIGKDD, 1-8, 2018 | 3 | 2018 |
| Discovering relationships in climate-vegetation dynamics using satellite data C Papagiannopoulou, D Miralles, M Depoorter, N Verhoest, W Dorigo, ... Proceedings of AALTD, 2016 | 3 | 2016 |
| Fact extraction and VERification—The FEVER case: An overview G Bekoulis, C Papagiannopoulou, N Deligiannis arXiv preprint arXiv:2010.03001, 2020 | 2 | 2020 |
| Discovering and exploiting entailment relationships in multi-label learning C Papagiannopoulou, G Tsoumakas, I Tsamardinos arXiv preprint arXiv:1404.4038, 2014 | 2 | 2014 |
