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Aakash Tripathi
Aakash Tripathi
Department of Electrical Engineering, University of South Florida
Verified email at usf.edu
Title
Cited by
Cited by
Year
Transformers in time-series analysis: A tutorial
S Ahmed, IE Nielsen, A Tripathi, S Siddiqui, RP Ramachandran, G Rasool
Circuits, Systems, and Signal Processing 42 (12), 7433-7466, 2023
622023
Transformers in time-series analysis: A tutorial. arXiv 2022
S Ahmed, IE Nielsen, A Tripathi, S Siddiqui, G Rasool, RP Ramachandran
arXiv preprint arXiv:2205.01138, 2022
72022
Building Flexible, Scalable, and Machine Learning-ready Multimodal Oncology Datasets
A Tripathi, A Waqas, K Venkatesan, Y Yilmaz, G Rasool
Sensors 24 (5), 1634, 2024
52024
Multimodal data integration for oncology in the era of deep neural networks: a review
A Waqas, A Tripathi, RP Ramachandran, P Stewart, G Rasool
arXiv preprint arXiv:2303.06471, 2023
52023
A comparison of feature selection techniques for first-day mortality prediction in the icu
JR Epifano, A Silvestri, A Yu, RP Ramachandran, A Tripathi, G Rasool
2023 IEEE International Symposium on Circuits and Systems (ISCAS), 1-5, 2023
32023
BIO24-031: Hierarchical Multimodal Learning on Pan-Squamous Cell Carcinomas for Improved Survival Outcomes
A Waqas, A Tripathi, A Mukund, P Stewart, M Naeini, G Rasool
Journal of the National Comprehensive Cancer Network 22 (2.5), 2024
2024
BIO24-030: Unifying Multimodal Data, Time Series Analytics, and Contextual Medical Memory: Introducing MINDS as an Oncology-Centric Cloud-Based Platform
A Tripathi, A Waqas, G Rasool
Journal of the National Comprehensive Cancer Network 22 (2.5), 2024
2024
Multimodal transformer model improves survival prediction in lung cancer compared to unimodal approaches
A Tripathi, A Waqas, Y Yilmaz, G Rasool
Cancer Research 84 (6_Supplement), 4905-4905, 2024
2024
SeNMo: A self-normalizing deep learning model for enhanced multi-omics data analysis in oncology
A Waqas, A Tripathi, S Ahmed, A Mukund, P Stewart, M Naeini, H Farooq, ...
Cancer Research 84 (6_Supplement), 908-908, 2024
2024
BUILDING FLEXIBLE, SCALABLE, AND MACHINE LEARNING-READY MULTIMODAL ONCOLOGY DATASETS
A Tripathi, A Waqas, K Venkatesan, Y Yilmaz, G Rasool
arXiv preprint arXiv:2310.01438, 2023
2023
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