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UMAP 2020 Workshop on Explainable User Models and Personalised Systems (ExUM) Chairs' Welcome & Organization.

C. Musto, N. Tintarev, O. Inel, M. Polignano, G. Semeraro, и J. Ziegler. UMAP (Adjunct Publication), стр. 204-205. ACM, (2020)

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Oana Schüszler

Oana Stan

Oana Lorintiu

Oana Goga

Oana Coban

Другие публикации лиц с тем же именем

Design Implications for Explanations: A Case Study on Supporting Reflective Assessment of Potentially Misleading Videos.O. Inel, T. Duricic, H. Kaur, E. Lex, и N. Tintarev. Frontiers Artif. Intell., (2021)Understanding the Role of Explanation Modality in AI-assisted Decision-making.V. Robbemond, O. Inel, и U. Gadiraju. UMAP, стр. 223-233. ACM, (2022)Studying Topical Relevance with Evidence-based Crowdsourcing.O. Inel, G. Haralabopoulos, D. Li, C. Gysel, Z. Szlávik, E. Simperl, E. Kanoulas, и L. Aroyo. CIKM, стр. 1253-1262. ACM, (2018)Machine-Crowd Annotation Workflow for Event Understanding Across Collections and Domains.O. Inel. ESWC, том 9678 из Lecture Notes in Computer Science, стр. 813-823. Springer, (2016)Adversarial Nibbler: A Data-Centric Challenge for Improving the Safety of Text-to-Image Models.A. Parrish, H. Kirk, J. Quaye, C. Rastogi, M. Bartolo, O. Inel, J. Ciro, R. Mosquera, A. Howard, W. Cukierski и 3 other автор(ы). CoRR, (2023)A Survey of Crowdsourcing in Medical Image Analysis.S. Ørting, A. Doyle, A. van Hilten, M. Hirth, O. Inel, C. Madan, P. Mavridis, H. Spiers, и V. Cheplygina. Hum. Comput., (2020)Validation Methodology for Expert-Annotated Datasets: Event Annotation Case Study.O. Inel, и L. Aroyo. LDK, том 70 из OASIcs, стр. 12:1-12:15. Schloss Dagstuhl - Leibniz-Zentrum für Informatik, (2019)Optimizing Explorative Search for the Needs of Media Professionals: The DIVE+ Use Case.J. Verhulst, O. Inel, V. de Boer, и L. Aroyo. SEMANTiCS (Workshops), том 2063 из CEUR Workshop Proceedings, CEUR-WS.org, (2017)Event Extraction From Radio News Bulletins.K. van Putten, O. Inel, V. de Boer, и L. Aroyo. SEMANTiCS (Workshops), том 2063 из CEUR Workshop Proceedings, CEUR-WS.org, (2017)Crowdsourcing StoryLines: Harnessing the Crowd for Causal Relation Annotation.T. Caselli, и O. Inel. EventStory@Coling, стр. 44-54. Association for Computational Linguistics, (2018)

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