Tirth Patel

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 12

Top Topics

Malicious Executables

Computed Tomography

Machine Learning

Top Venues

Comput. Biol. Medicine

Publications

Cathy Ong Ly, Balagopal Unnikrishnan, Tony Tadic, Tirth Patel, Joe Duhamel, Sonja Kandel, Yasbanoo Moayedi, Michael Brudno, Andrew Hope, Heather Ross, Chris McIntosh
Shortcut learning in medical AI hinders generalization: method for estimating AI model generalization without external data. npj Digit. Medicine 7 (1) (2024)
Matthew Watson, Divyashree Shivakumar Sreepathihalli, François Chollet, Martin Görner, Kiranbir Sodhia, Ramesh Sampath, Tirth Patel, Hai Jin, Neel Kovelamudi, Gabriel Rasskin, Samaneh Saadat, Luke Wood, Chen Qian, Jonathan Bischof, Ian Stenbit, Abheesht Sharma, Anshuman Mishra
KerasCV and KerasNLP: Vision and Language Power-Ups. CoRR (2024)
Tirth Patel, Fred Lu, Edward Raff, Charles Nicholas, Cynthia Matuszek, James Holt
Small Effect Sizes in Malware Detection? Make Harder Train/Test Splits! CoRR (2023)
Tirth Patel, Fred Lu, Edward Raff, Charles Nicholas, Cynthia Matuszek, James Holt
Small Effect Sizes in Malware Detection? Make Harder Train/Test Splits! CAMLIS (2023)
Robert J. Joyce, Tirth Patel, Charles Nicholas, Edward Raff
AVScan2Vec: Feature Learning on Antivirus Scan Data for Production-Scale Malware Corpora. AISec@CCS (2023)
Robert J. Joyce, Tirth Patel, Charles Nicholas, Edward Raff
AVScan2Vec: Feature Learning on Antivirus Scan Data for Production-Scale Malware Corpora. CoRR (2023)
Ayushi Agarwal, Nisarg Patel, Neeraj Varshney, Mihir Parmar, Pavan Mallina, Aryan Bhavin Shah, Srihari Raju Sangaraju, Tirth Patel, Nihar Thakkar, Chitta Baral
Can NLP Models 'Identify', 'Distinguish', and 'Justify' Questions that Don't have a Definitive Answer? CoRR (2023)
Christoph Baumgarten, Tirth Patel
Automatic random variate generation in Python. SciPy (2022)
Tirth Patel, Niyatiben Salot, Vrusha Parikh
A systematic literature review on Security of Unmanned Aerial Vehicle Systems. CoRR (2022)
Reza Reiazi, Engy Abbas, Petra Famiyeh, Aria Rezaie, Jennifer Y. Y. Kwan, Tirth Patel, Scott V. Bratman, Tony Tadic, Fei-Fei Liu, Benjamin Haibe-Kains
The impact of the variation of imaging parameters on the robustness of Computed Tomography radiomic features: A review. Comput. Biol. Medicine 133 (2021)
Michal Kazmierski, Mattea Welch, Sejin Kim, Chris McIntosh, Katrina Rey-McIntyre, Shao-Hui Huang, Tirth Patel, Tony Tadic, Michael F. Milosevic, Fei-Fei Liu, Andrew Hope, Scott V. Bratman, Benjamin Haibe-Kains
A Machine Learning Challenge for Prognostic Modelling in Head and Neck Cancer Using Multi-modal Data. CoRR (2021)
Alberto Traverso, Ali Hosni-Abdalaty, Mohammad Hasan, Tony Tadic, Tirth Patel, Meredith Giuliani, John Kim, Jolie Ringash, John Cho, Scott V. Bratman, Andrew Bayley, John Waldron, Brian O'Sullivan, Jonathan C. Irish, Douglas Chepeha, John De Almeida, David Goldstein, David A. Jaffray, Leonard Wee, Andre Dekker, Andrew Hope
Non-invasive prediction of lymph node risk in oral cavity cancer patients using a combination of supervised and unsupervised machine learning algorithms. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging (2020)