activity
20142026
most citedBigFCM: Fast, Precise and Scalable FCM on Hadoop

21 citations · 34 across the 12 of their papers we have counts for

collaborators
Showing cs.AIShow all

6 papers · 1 filter

cs.AI2026

From Scores to Safe Sets: Exact Safety--Constrained Decoding for Medication Recommendation

Animesh Agarwal, Meysam Ghaffari, Nina Fatehi +2

Recent generative medication recommendation systems ultimately produce sets of drugs, but drug--drug interaction (DDI) constraints depend on the set as a whole. A natural post-hoc…

cs.AI2026

Verification Turns Capability Gaps into Routing Decisions: Small Language Models for Clinical Documentation

Nina Fatehi, Meysam Ghaffari, Animesh Agarwal +2

Clinical note generation from doctor--patient dialogue is high-volume and hallucination-intolerant: a fabricated laboratory value can create patient-safety risk, not a quality regr…

cs.AI2026

LearnActCoder: Role-Aware Error Memory for Adaptive Clinical Coding Agents

Meysam Ghaffari, Bhaskar Sen, Nasim Sabetpour +3

Clinical coding agents repeatedly encounter the same failure modes, including unsupported codes, missed documented conditions, specificity errors, and procedure-coding convention m…

cs.AI2026

Structured Evidence Routing for Incident Risk Prediction from Multimodal Longitudinal EHRs

Animesh Agarwal, Meysam Ghaffari, Nina Fatehi +1

Incident risk prediction from longitudinal electronic health records (EHRs) is challenging because relevant signals are multimodal, weak in isolation, and distributed across irregu…

cs.AI2014

Generating Graphical Chain by Mutual Matching of Bayesian Network and Extracted Rules of Bayesian Network Using Genetic Algorithm

Mostafa Sepahvand, Ghasem Alikhajeh, Meysam Ghaffari +1

With the technology development, the need of analyze and extraction of useful information is increasing. Bayesian networks contain knowledge from data and experts that could be use…

cs.AI2014★ 11 cited

Ambiguity-Driven Fuzzy C-Means Clustering: How to Detect Uncertain Clustered Records

Meysam Ghaffari, Nasser Ghadiri

As a well-known clustering algorithm, Fuzzy C-Means (FCM) allows each input sample to belong to more than one cluster, providing more flexibility than non-fuzzy clustering methods.…