Aakash Tripathi

Orcid: 0000-0001-7231-0487

According to our database1, Aakash Tripathi authored at least 12 papers between 2023 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

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

TheBlueScrubs-v1, a comprehensive curated medical dataset derived from the internet.
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
Transformers in Time-Series Analysis: A Tutorial.
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


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