Παρακολούθηση
Shreyasi Pathak
Shreyasi Pathak
PhD candidate, University of Twente
Η διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα utwente.nl - Αρχική σελίδα
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Παρατίθεται από
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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
4412023
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
552021
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
222020
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
192023
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
192019
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
162014
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
14
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
132021
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
132020
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
122019
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
92018
Automatic structuring of breast cancer radiology reports for quality assurance (Thesis)
S Pathak
University of Twente, 2018
92018
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*
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
82022
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
32023
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
22020
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
12024
Prototype-based Interpretable Breast Cancer Prediction Models: Analysis and Challenges
S Pathak, J Schlötterer, J Veltman, J Geerdink, M van Keulen, C Seifert
World Conference on Explainable Artificial Intelligence, 21-42, 2024
12024
Deepsleep: Deep Learning for Automatic Sleep Scoring
S Pathak, C Seifert, M van Putten
Dutch-Belgian Database Day, 2019
12019
Case-level Breast Cancer Prediction for Real Hospital Settings
S Pathak, J Schlötterer, J Geerdink, J Veltman, M van Keulen, ...
2023
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