Aakash Tripathi
Orcid: 0000-0001-7231-0487
According to our database1,
Aakash Tripathi
authored at least 12 papers
between 2023 and 2025.
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Bibliography
2025
Explainable AI in Genomics: Transcription Factor Binding Site Prediction with Mixture of Experts.
CoRR, July, 2025
EAGLE: Efficient Alignment of Generalized Latent Embeddings for Multimodal Survival Prediction with Interpretable Attribution Analysis.
CoRR, June, 2025
Trustworthy AI for Medicine: Continuous Hallucination Detection and Elimination with CHECK.
CoRR, June, 2025
CoRR, April, 2025
2024
Building Flexible, Scalable, and Machine Learning-Ready Multimodal Oncology Datasets.
Sensors, March, 2024
Multimodal data integration for oncology in the era of deep neural networks: a review.
Frontiers Artif. Intell., 2024
Embedding-based Multimodal Learning on Pan-Squamous Cell Carcinomas for Improved Survival Outcomes.
CoRR, 2024
SeNMo: A Self-Normalizing Deep Learning Model for Enhanced Multi-Omics Data Analysis in Oncology.
CoRR, 2024
HoneyBee: A Scalable Modular Framework for Creating Multimodal Oncology Datasets with Foundational Embedding Models.
CoRR, 2024
2023
Circuits Syst. Signal Process., December, 2023
Multimodal Data Integration for Oncology in the Era of Deep Neural Networks: A Review.
CoRR, 2023
A Comparison of Feature Selection Techniques for First-day Mortality Prediction in the ICU.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2023