Research output per year
Research output per year
Personal profile
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Education/Academic qualification
Master, University of Twente
1 Sept 2016 → 27 Aug 2018
Award Date: 27 Aug 2018
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Dive into the research topics where Shreyasi Pathak is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Feature importance to explain multimodal prediction models: A clinical use case
van de Beld, J.-J., Pathak, S., Geerdink, J., Hegeman, J. H. & Seifert, C., 29 Apr 2024, ArXiv.org, 19 p.Research output: Working paper › Preprint › Academic
Open AccessFile44 Downloads (Pure) -
Feature Importance to Explain Multimodal Prediction Models: A Clinical Use Case
van de Beld, J.-J., Pathak, S., Geerdink, J., Hegeman, J. H. & Seifert, C., 2024, Explainable Artificial Intelligence: Second World Conference, xAI 2024, Valletta, Malta, July 17–19, 2024, Proceedings. Longo, L., Lapuschkin, S. & Seifert, C. (eds.). Cham, Switzerland: Springer, Vol. Part IV. p. 84-101 18 p. (Communications in Computer and Information Science; vol. 2156).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
Open AccessFile1 Citation (Scopus)47 Downloads (Pure) -
Prototype-based Interpretable Breast Cancer Prediction Models: Analysis and Challenges
Pathak, S., Schlötterer, J., Veltman, J., Geerdink, J., Keulen, M. V. & Seifert, C., 29 Mar 2024.Research output: Working paper › Preprint › Academic
Open AccessFile63 Downloads (Pure) -
Prototype-Based Interpretable Breast Cancer Prediction Models: Analysis and Challenges
Pathak, S., Schlötterer, J., Veltman, J., Geerdink, J., van Keulen, M. & Seifert, C., 10 Jul 2024, Explainable Artificial Intelligence - 2nd World Conference, xAI 2024, Proceedings. Longo, L., Lapuschkin, S. & Seifert, C. (eds.). Springer, p. 21-42 22 p. (Communications in Computer and Information Science; vol. 2153 CCIS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
Open AccessFile3 Citations (Scopus)45 Downloads (Pure) -
Benchmarking eXplainable AI: A Survey on Available Toolkits and Open Challenges
Le, P. Q., Nauta, M., Nguyen, V. B., Pathak, S., Schlötterer, J. & Seifert, C., Aug 2023, Proceedings of the 32nd International Joint Conference on Artificial Intelligence, IJCAI 2023. Elkind, E. (ed.). International Joint Conferences on Artificial Intelligence, p. 6665-6673 9 p. (IJCAI International Joint Conference on Artificial Intelligence; vol. 2023-August).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
13 Citations (Scopus)2 Downloads (Pure)