activity
20202026
most citedBlockchain-Federated-Learning and Deep Learning Models for COVID-19 detection using CT Imaging

68 citations · 76 across the 26 of their papers we have counts for

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5 papers · 1 filter

cs.AI2026

Gated Activation Steering for Reducing Sycophancy & Hallucination in Medical Question Answering

Himanshu Tripathi, Subash Neupane, Shaswata Mitra +3

Sycophancy and hallucination are persistent failure modes of Large Language Models (LLMs) across domains. However, it becomes particularly consequential in clinical question answer…

cs.AI2026

A Taxonomy of Cognitive Capability Gaps in Generative and Agentic AI

Taye Akinrele, Sindhuja Penchala, Noorbakhsh Amiri Golilarz +2

Cognitive AI seeks to move beyond language generation and autonomous task execution toward systems capable of sustained reasoning, adaptive behavior, persistent memory, and self-re…

cs.AI2026

Evaluating Transformer and LSTM Frameworks for Prediction in Ungauged Basins

Taye Akinrele, James Halgren, Noorbakhsh Amiri Golilarz +2

Watershed networks exhibit convergent topologies in which multiple tributaries merge into downstream channels,integrating diverse upstream hydrological processes. In ungauged basin…

cs.AI2024

R-GAT: Cancer Document Classification Leveraging Graph-Based Residual Network for Scenarios with Limited Data

Elias Hossain, Tasfia Nuzhat, Shamsul Masum +2

Accurate classification of cancer-related biomedical abstracts is critical for advancing cancer informatics and supporting decision-making in healthcare research. Yet progress in t…

cs.AI2024

Patient-Centric Knowledge Graphs: A Survey of Current Methods, Challenges, and Applications

Hassan S. Al Khatib, Subash Neupane, Harish Kumar Manchukonda +4

Patient-Centric Knowledge Graphs (PCKGs) represent an important shift in healthcare that focuses on individualized patient care by mapping the patient's health information in a hol…