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Masha Medvedeva
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2020 – today
- 2024
- [j6]Maria Medvedeva, Victor Itkin, Andrey Sirin:
Identification of peat-fire-burnt areas among other wildfires using the peat fire index. Int. J. Appl. Earth Obs. Geoinformation 132: 103973 (2024) - [j5]Maria Medvedeva, Victor Itkin, Andrey Sirin:
Corrigendum to "Identification of peat-fire-burnt areas among other wildfires using the peat fire index" [Int. J. Appl. Earth Observ. Geoinf. 132 (2024) 103973]. Int. J. Appl. Earth Obs. Geoinformation 133: 104088 (2024) - [j4]Iris Schepers, Masha Medvedeva, Michelle Bruijn, Martijn Wieling, Michel Vols:
Predicting citations in Dutch case law with natural language processing. Artif. Intell. Law 32(3): 807-837 (2024) - 2023
- [j3]Masha Medvedeva, Martijn Wieling, Michel Vols:
Rethinking the field of automatic prediction of court decisions. Artif. Intell. Law 31(1): 195-212 (2023) - 2022
- [j2]Andrey Sirin, Maria Medvedeva:
Remote Sensing Mapping of Peat-Fire-Burnt Areas: Identification among Other Wildfires. Remote. Sens. 14(1): 194 (2022) - 2021
- [c11]Masha Medvedeva, Ahmet Üstün, Xiao Xu, Michel Vols, Martijn Wieling:
Automatic Judgement Forecasting for Pending Applications of the European Court of Human Rights. ASAIL/LegalAIIA@ICAIL 2021: 12-23 - [c10]Masha Medvedeva, Thijmen Dam, Martijn Wieling, Michel Vols:
Automatically Identifying Eviction Cases and Outcomes Within Case Law of Dutch Courts of First Instance. JURIX 2021: 13-22 - 2020
- [j1]Masha Medvedeva, Michel Vols, Martijn Wieling:
Using machine learning to predict decisions of the European Court of Human Rights. Artif. Intell. Law 28(2): 237-266 (2020) - [c9]Masha Medvedeva, Xiao Xu, Martijn Wieling, Michel Vols:
JURI SAYS: An Automatic Judgement Prediction System for the European Court of Human Rights. JURIX 2020: 277-280 - [i2]Masha Medvedeva, Martijn Wieling, Michel Vols:
The Danger of Reverse-Engineering of Automated Judicial Decision-Making Systems. CoRR abs/2012.10301 (2020)
2010 – 2019
- 2019
- [c8]Hessel Haagsma, Tim Kreutz, Masha Medvedeva, Walter Daelemans, Malvina Nissim:
Overview of the CLIN29 Shared Task on Cross-Genre Gender Prediction in Dutch. GxG@CLIN 2019: 1-5 - [e1]Hessel Haagsma, Tim Kreutz, Masha Medvedeva, Walter Daelemans, Malvina Nissim:
Proceedings of the Shared Task on Cross-Genre Gender Prediction in Dutch at CLIN29 (GxG@CLIN29) co-located with the 29th Conference on Computational Linguistics in The Netherlands (CLIN29), Groningen, The Netherlands, January 31, 2019. CEUR Workshop Proceedings 2453, CEUR-WS.org 2019 [contents] - 2018
- [c7]Martin Kroon, Masha Medvedeva, Barbara Plank:
When Simple n-gram Models Outperform Syntactic Approaches: Discriminating between Dutch and Flemish. VarDial@COLING 2018 2018: 244-253 - 2017
- [c6]Angelo Basile, Gareth Dwyer, Maria Medvedeva, Josine Rawee, Hessel Haagsma, Malvina Nissim:
N-GrAM: New Groningen Author-profiling Model. CLEF (Working Notes) 2017 - [c5]Angelo Basile, Gareth Dwyer, Maria Medvedeva, Josine Rawee, Hessel Haagsma, Malvina Nissim:
Simply the Best: Minimalist System Trumps Complex Models in Author Profiling. CLEF 2017: 143-156 - [c4]Maria Medvedeva, Hessel Haagsma, Malvina Nissim:
An Analysis of Cross-Genre and In-Genre Performance for Author Profiling in Social Media. CLEF 2017: 211-223 - [c3]Maria Medvedeva, Martin Kroon, Barbara Plank:
When Sparse Traditional Models Outperform Dense Neural Networks: the Curious Case of Discriminating between Similar Languages. VarDial 2017: 156-163 - [i1]Angelo Basile, Gareth Dwyer, Maria Medvedeva, Josine Rawee, Hessel Haagsma, Malvina Nissim:
N-GrAM: New Groningen Author-profiling Model. CoRR abs/1707.03764 (2017) - 2016
- [c2]Mart Busger Op Vollenbroek, Talvany Carlotto, Tim Kreutz, Maria Medvedeva, Chris Pool, Johannes Bjerva, Hessel Haagsma, Malvina Nissim:
GronUP: Groningen User Profiling. CLEF (Working Notes) 2016: 846-857 - [c1]Timofey Arkhangelskiy, Maria Medvedeva:
Developing Morphologically Annotated Corpora for Minority Languages of Russia. CLiF 2016: 1-6
Coauthor Index
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last updated on 2024-09-28 01:29 CEST by the dblp team
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