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Philipp Burckhardt
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2020 – today
- 2024
- [c7]Nusrat Zahan, Philipp Burckhardt, Mikola Lysenko, Feross Aboukhadijeh, Laurie A. Williams:
MalwareBench: Malware samples are not enough. MSR 2024: 728-732 - [i2]Nusrat Zahan, Philipp Burckhardt, Mikola Lysenko, Feross Aboukhadijeh, Laurie A. Williams:
Shifting the Lens: Detecting Malware in npm Ecosystem with Large Language Models. CoRR abs/2403.12196 (2024) - 2022
- [c6]Philipp Burckhardt, Saba Al-Sayouri, Rema Padman:
Data Science for Healthcare via an E-Learning Statistics Platform. ICHI 2022: 564-566 - 2020
- [c5]Philipp Burckhardt, Lindsay K. Graff, Divya Venkat, Shiv Dua, Rema Padman:
Informing the Design of e-Learning Lessons on Data Science through Think-Aloud Experiments with Healthcare Professionals. ICHI 2020: 1-7
2010 – 2019
- 2018
- [c4]Philipp Burckhardt, Daniel S. Nagin, Vijaya P. Vijayasarathy, Rema Padman:
Multi-Trajectory Modeling to Predict Acute Kidney Injury in Chronic Kidney Disease Patients. AMIA 2018 - [i1]Kaung Khin, Philipp Burckhardt, Rema Padman:
A Deep Learning Architecture for De-identification of Patient Notes: Implementation and Evaluation. CoRR abs/1810.01570 (2018) - 2017
- [c3]Philipp Burckhardt, Rema Padman:
deidentify. AMIA 2017 - 2016
- [c2]Philipp Burckhardt, Daniel S. Nagin, Rema Padman:
Multi-Trajectory Models of Chronic Kidney Disease Progression. AMIA 2016 - 2015
- [c1]Philipp Burckhardt, Rema Padman:
Analyzing Self-Help Forums with Ontology-Based Text Mining: An Exploration in Kidney Space. AMIA 2015
Coauthor Index
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last updated on 2024-07-20 20:29 CEST by the dblp team
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