Shreyasi Pathak

According to our database, Shreyasi Pathak authored at least 13 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Prototype-Based Interpretable Breast Cancer Prediction Models: Analysis and Challenges.

Shreyasi Pathak, Jörg Schlötterer, Jeroen Veltman, Jeroen Geerdink, Maurice van Keulen, Christin Seifert

Proceedings of the Explainable Artificial Intelligence, 2024

Feature Importance to Explain Multimodal Prediction Models. a Clinical Use Case.

Jorn-Jan van de Beld, Shreyasi Pathak, Jeroen Geerdink, Johannes H. Hegeman, Christin Seifert

Proceedings of the Explainable Artificial Intelligence, 2024

2023

From Anecdotal Evidence to Quantitative Evaluation Methods: A Systematic Review on Evaluating Explainable AI.

Meike Nauta, Jan Trienes, Shreyasi Pathak, Elisa Nguyen, Michelle Peters, Yasmin Schmitt, Jörg Schlötterer, Maurice van Keulen, Christin Seifert

ACM Comput. Surv., 2023

Weakly Supervised Learning for Breast Cancer Prediction on Mammograms in Realistic Settings.

Shreyasi Pathak, Jörg Schlötterer, Jeroen Geerdink, Onno Dirk Vijlbrief, Maurice van Keulen, Christin Seifert

CoRR, 2023

Benchmarking eXplainable AI - A Survey on Available Toolkits and Open Challenges.

Phuong Quynh Le, Meike Nauta, Van Bach Nguyen, Shreyasi Pathak, Jörg Schlötterer, Christin Seifert

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

2021

STQS: Interpretable multi-modal <i>S</i>patial-<i>T</i>emporal-se<i>Q</i>uential model for automatic <i>S</i>leep scoring.

Shreyasi Pathak, Changqing Lu, Sunil Belur Nagaraj, Michel J. A. M. van Putten, Christin Seifert

Artif. Intell. Medicine, 2021

Multimodal Machine Learning for 30-Days Post-Operative Mortality Prediction of Elderly Hip Fracture Patients.

Berk Yenidogan, Shreyasi Pathak, Jeroen Geerdink, Johannes H. Hegeman, Maurice van Keulen

Proceedings of the 2021 International Conference on Data Mining, 2021

2020

Post-Structuring Radiology Reports of Breast Cancer Patients for Clinical Quality Assurance.

Shreyasi Pathak, Jorit van Rossen, Onno Vijlbrief, Jeroen Geerdink, Christin Seifert, Maurice van Keulen

IEEE ACM Trans. Comput. Biol. Bioinform., 2020

Human-in-the-loop Language-agnostic Extraction of Medication Data from Highly Unstructured Electronic Health Records.

Frank Ruis, Shreyasi Pathak, Jeroen Geerdink, Johannes H. Hegeman, Christin Seifert, Maurice van Keulen

Proceedings of the 20th International Conference on Data Mining Workshops, 2020

A Hybrid Text Classification and Language Generation Model for Automated Summarization of Dutch Breast Cancer Radiology Reports.

Elisa Nguyen, Daphne Theodorakopoulos, Shreyasi Pathak, Jeroen Geerdink, Onno Vijlbrief, Maurice van Keulen, Christin Seifert

Proceedings of the 2nd IEEE International Conference on Cognitive Machine Intelligence, 2020

2019

Comparing Process Models for Patient Populations: Application in Breast Cancer Care.

Francesca Marazza, Faiza Allah Bukhsh, Onno Vijlbrief, Jeroen Geerdink, Shreyasi Pathak, Maurice van Keulen, Christin Seifert

Proceedings of the Business Process Management Workshops, 2019

2018

Automatic Structuring of Breast Cancer Radiology Reports for Quality Assurance.

Shreyasi Pathak, Jorit van Rossen, Onno Vijlbrief, Jeroen Geerdink, Christin Seifert, Maurice van Keulen

Proceedings of the 2018 IEEE International Conference on Data Mining Workshops, 2018

2014

A system for stoppage pattern extraction from public bus GPS traces in developing regions.

Ratna Mandal, Nitin Agarwal, Projan Das, Shreyasi Pathak, Himansu Rathi, Subrata Nandi, Sujoy Saha

Proceedings of the Third ACM SIGSPATIAL International Workshop on Mobile Geographic Information Systems, 2014