| From Anecdotal Evidence to Quantitative Evaluation Methods: A Systematic Review on Evaluating Explainable AI M Nauta, J Trienes, S Pathak, E Nguyen, M Peters, Y Schmitt, ... arXiv preprint arXiv:2201.08164, 2022 | 25 | 2022 |
| STQS: Interpretable multi-modal Spatial-Temporal-seQuential model for automatic Sleep scoring S Pathak, C Lu, SB Nagaraj, M van Putten, C Seifert Artificial intelligence in medicine 114, 102038, 2021 | 25 | 2021 |
| Post-Structuring Radiology Reports of Breast Cancer Patients for Clinical Quality Assurance. S Pathak, JV Rossen, O Vijlbrief, J Geerdink, C Seifert, M van Keulen IEEE/ACM transactions on computational biology and bioinformatics, 2019 | 12 | 2019 |
| Comparing process models for patient populations: application in breast cancer care F Marazza, FA Bukhsh, O Vijlbrief, J Geerdink, S Pathak, M van Keulen, ... Business Process Management Workshops: BPM 2019 International Workshops …, 2019 | 12 | 2019 |
| A system for stoppage pattern extraction from public bus GPS traces in developing regions R Mandal, N Agarwal, P Das, S Pathak, H Rathi, S Nandi, S Saha Proceedings of the Third ACM SIGSPATIAL International Workshop on Mobile …, 2014 | 12 | 2014 |
| Automatic Process Comparison for Subpopulations: Application in Cancer Care F Marazza, FA Bukhsh, J Geerdink, O Vijlbrief, S Pathak, M Keulen, ... International Journal of Environmental Research and Public Health 17 (16), 5707, 2020 | 11 | 2020 |
| Automatic Structuring of Breast Cancer Radiology Reports for Quality Assurance S Pathak, J van Rossen, O Vijlbrief, J Geerdink, C Seifert, M van Keulen 2018 IEEE International Conference on Data Mining Workshops (ICDMW), 732-739, 2018 | 9 | 2018 |
| Automatic structuring of breast cancer radiology reports for quality assurance (Thesis) S Pathak University of Twente, 2018 | 9 | 2018 |
| AUTOMATIC STRUCTURING OF BREAST CANCER RADIOLOGY REPORTS FOR QUALITY ASSURANCE S Pathak, J van Rossen, O Vijlbrief, J Geerdink, C Seifert, IM van Keulen | 9* | |
| From anecdotal evidence to quantitative evaluation methods: A systematic review on evaluating explainable ai. arXiv 2022 M Nauta, J Trienes, S Pathak, E Nguyen, M Peters, Y Schmitt, ... arXiv preprint arXiv:2201.08164, 0 | 5 | |
| Multimodal Machine Learning for 30-Days Post-Operative Mortality Prediction of Elderly Hip Fracture Patients B Yenidogan, S Pathak, J Geerdink, JH Hegeman, M van Keulen 2021 International Conference on Data Mining Workshops (ICDMW), 508-516, 2021 | 4 | 2021 |
| A Hybrid Text Classification and Language Generation Model for Automated Summarization of Dutch Breast Cancer Radiology Reports E Nguyen, D Theodorakopoulos, S Pathak, J Geerdink, O Vijlbrief, ... 2020 IEEE Second International Conference on Cognitive Machine Intelligence …, 2020 | 3 | 2020 |
| Human-in-the-loop Language-agnostic Extraction of Medication Data from Highly Unstructured Electronic Health Records F Ruis, S Pathak, J Geerdink, JH Hegeman, C Seifert, M van Keulen 2020 International Conference on Data Mining Workshops (ICDMW), 644-650, 2020 | 2 | 2020 |
| Deepsleep: Deep Learning for Automatic Sleep Scoring S Pathak, C Seifert, M van Putten Dutch-Belgian Database Day, 2019 | 1 | 2019 |
| Channel Contribution In Deep Learning Based Automatic Sleep Scoring–How Many Channels Do We Need? C Lu, S Pathak, G Englebienne, C Seifert IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2022 | | 2022 |
| PPLM Revisited: Steering and Beaming a Lumbering Mammoth to Control Text Generation VB Nguyen, J Trienes, M Nauta, S Pathak, P Youssef, S Imangaliyev, ... https://iclr-blog-track.github.io/2022/03/25/PPLM/, 2022 | | 2022 |
Christin SeifertUniversity of Duisburg-EssenVerified email at uni-due.de
