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2020 – today
- 2024
[c9]Shreyasi Pathak
, Jörg Schlötterer, Jeroen Veltman, Jeroen Geerdink, Maurice van Keulen, Christin Seifert:
Prototype-Based Interpretable Breast Cancer Prediction Models: Analysis and Challenges. xAI (1) 2024: 21-42- [c8]Jorn-Jan van de Beld, Shreyasi Pathak, Jeroen Geerdink, Johannes H. Hegeman, Christin Seifert:
Feature Importance to Explain Multimodal Prediction Models. a Clinical Use Case. xAI (4) 2024: 84-101 - [i4]Shreyasi Pathak, Jörg Schlötterer, Jeroen Veltman, Jeroen Geerdink, Maurice van Keulen, Christin Seifert:
Prototype-based Interpretable Breast Cancer Prediction Models: Analysis and Challenges. CoRR abs/2403.20260 (2024) - [i3]Jorn-Jan van de Beld, Shreyasi Pathak, Jeroen Geerdink, Johannes H. Hegeman, Christin Seifert:
Feature importance to explain multimodal prediction models. A clinical use case. CoRR abs/2404.18631 (2024) - 2023
- [j3]Meike Nauta, Jan Trienes, Shreyasi Pathak, Elisa Nguyen, Michelle Peters, Yasmin Schmitt, Jörg Schlötterer, Maurice van Keulen, Christin Seifert:
From Anecdotal Evidence to Quantitative Evaluation Methods: A Systematic Review on Evaluating Explainable AI. ACM Comput. Surv. 55(13s): 295:1-295:42 (2023) - [c7]Phuong Quynh Le, Meike Nauta, Van Bach Nguyen, Shreyasi Pathak, Jörg Schlötterer, Christin Seifert:
Benchmarking eXplainable AI - A Survey on Available Toolkits and Open Challenges. IJCAI 2023: 6665-6673 - [i2]Shreyasi Pathak, Jörg Schlötterer, Jeroen Geerdink, Onno Dirk Vijlbrief, Maurice van Keulen, Christin Seifert:
Weakly Supervised Learning for Breast Cancer Prediction on Mammograms in Realistic Settings. CoRR abs/2310.12677 (2023) - 2022
- [i1]Meike Nauta, Jan Trienes, Shreyasi Pathak, Elisa Nguyen, Michelle Peters, Yasmin Schmitt, Jörg Schlötterer, Maurice van Keulen, Christin Seifert:
From Anecdotal Evidence to Quantitative Evaluation Methods: A Systematic Review on Evaluating Explainable AI. CoRR abs/2201.08164 (2022) - 2021
- [j2]Shreyasi Pathak, Changqing Lu, Sunil Belur Nagaraj, Michel J. A. M. van Putten, Christin Seifert:
STQS: Interpretable multi-modal Spatial-Temporal-seQuential model for automatic Sleep scoring. Artif. Intell. Medicine 114: 102038 (2021) - [c6]Berk Yenidogan, Shreyasi Pathak, Jeroen Geerdink, Johannes H. Hegeman, Maurice van Keulen:
Multimodal Machine Learning for 30-Days Post-Operative Mortality Prediction of Elderly Hip Fracture Patients. ICDM (Workshops) 2021: 508-516 - 2020
- [j1]Shreyasi Pathak, Jorit van Rossen, Onno Vijlbrief, Jeroen Geerdink, Christin Seifert, Maurice van Keulen:
Post-Structuring Radiology Reports of Breast Cancer Patients for Clinical Quality Assurance. IEEE ACM Trans. Comput. Biol. Bioinform. 17(6): 1883-1894 (2020) - [c5]Elisa Nguyen, Daphne Theodorakopoulos, Shreyasi Pathak, Jeroen Geerdink, Onno Vijlbrief, Maurice van Keulen, Christin Seifert:
A Hybrid Text Classification and Language Generation Model for Automated Summarization of Dutch Breast Cancer Radiology Reports. CogMI 2020: 72-81 - [c4]Frank Ruis, Shreyasi Pathak, Jeroen Geerdink, Johannes H. Hegeman, Christin Seifert, Maurice van Keulen:
Human-in-the-loop Language-agnostic Extraction of Medication Data from Highly Unstructured Electronic Health Records. ICDM (Workshops) 2020: 644-650
2010 – 2019
- 2019
- [c3]Francesca Marazza, Faiza Allah Bukhsh, Onno Vijlbrief, Jeroen Geerdink, Shreyasi Pathak, Maurice van Keulen, Christin Seifert:
Comparing Process Models for Patient Populations: Application in Breast Cancer Care. Business Process Management Workshops 2019: 496-507 - 2018
- [c2]Shreyasi Pathak, Jorit van Rossen, Onno Vijlbrief, Jeroen Geerdink, Christin Seifert, Maurice van Keulen:
Automatic Structuring of Breast Cancer Radiology Reports for Quality Assurance. ICDM Workshops 2018: 732-739 - 2014
- [c1]Ratna Mandal, Nitin Agarwal, Projan Das, Shreyasi Pathak, Himansu Rathi, Subrata Nandi, Sujoy Saha:
A system for stoppage pattern extraction from public bus GPS traces in developing regions. MobiGIS 2014: 72-75
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