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Pronaya Prosun Das
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2020 – today
- 2023
- [c5]Pronaya Prosun Das, Lena Wiese:
Explainability Based on Feature Importance for Better Comprehension of Machine Learning in Healthcare. ADBIS (Short Papers) 2023: 324-335 - [c4]Pronaya Prosun Das:
Data Extraction for Associative Classification using Mined Rules in Pediatric Intensive Care Data. BTW 2023: 981-994 - [c3]Pronaya Prosun Das, Despina Tawadros, Lena Wiese:
Privacy-Preserving Medical Data Generation Using Adversarial Learning. ISC 2023: 24-41 - 2021
- [j1]Martin Wutke, Felix Heinrich, Pronaya Prosun Das, Anita Lange, Maria Gentz, Imke Traulsen, Friederike K. Warns, Armin Otto Schmitt, Mehmet Gültas:
Detecting Animal Contacts - A Deep Learning-Based Pig Detection and Tracking Approach for the Quantification of Social Contacts. Sensors 21(22): 7512 (2021) - [c2]Marcel Mast, Michael Marschollek, Louisa Bode, Antje Wulff, Sven Schamer, Henning Rathert, Thomas Jack, Philipp Beerbaum, Nicole Rübsamen, Julia Böhnke, André Karch, Pronaya Prosun, Lena Wiese, Christian Groszewski-Anders, Andreas Haller, Mathias Slawik, Torsten Frank:
Developing a Data Driven Approach for Early Detection of SIRS in Pediatric Intensive Care Using Automatically Labeled Training Data. ICIMTH 2021: 228-231
2010 – 2019
- 2016
- [c1]Pronaya Prosun Das, Shaikh Muhammad Allayear, Ruhul Amin, Zahida Rahman:
Bangladeshi dialect recognition using Mel Frequency Cepstral Coefficient, Delta, Delta-delta and Gaussian Mixture Model. ICACI 2016: 359-364
Coauthor Index
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