| 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, ... ACM Computing Surveys 55 (13s), 1-42, 2023 | 250 | 2023 |
| 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 | 47 | 2021 |
| 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 | 18 | 2020 |
| 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 | 17 | 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 | 16 | 2014 |
| 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 | 11 | 2021 |
| 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 | 11 | 2019 |
| 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 | 11 | |
| 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* | |
| Benchmarking eXplainable AI-A Survey on Available Toolkits and Open Challenges. PQ Le, M Nauta, SP Van Bach Nguyen, S Pathak, J Schlötterer, C Seifert IJCAI, 6665-6673, 2023 | 8 | 2023 |
| 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 | 8 | 2020 |
| 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 31, 494-505, 2022 | 4 | 2022 |
| 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 |
| Feature importance to explain multimodal prediction models. A clinical use case JJ van de Beld, S Pathak, J Geerdink, JH Hegeman, C Seifert World Conference on Explainable Artificial Intelligence, 84-101, 2024 | | 2024 |
| Prototype-based Interpretable Breast Cancer Prediction Models: Analysis and Challenges S Pathak, J Schlötterer, J Veltman, J Geerdink, M van Keulen, C Seifert arXiv preprint arXiv:2403.20260, 2024 | | 2024 |
| Weakly Supervised Learning for Breast Cancer Prediction on Mammograms in Realistic Settings S Pathak, J Schlötterer, J Geerdink, OD Vijlbrief, M van Keulen, C Seifert arXiv preprint arXiv:2310.12677, 2023 | | 2023 |
| 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 Marburg / Hessian.AI在 uni-marburg.de 的电子邮件经过验证
