21 citations · 34 across the 12 of their papers we have counts for
17 papers
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…
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…
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…
A Multi-Agent Pipeline for Source-Grounded Synthetic Note Generation from Longitudinal Structured EHR
Nina Fatehi, Reihaneh Hassanzadeh, Meysam Ghaffari +2
Structured EHR is abundant but sparse, coded, and difficult to use directly for note-centric clinical modeling. We present MedNotes, a multi-agent synthetic data generation pipelin…
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…
Foundation Agents Meet Agentic Deep Research: Evidence-Grounded Clinical Code Forecasting
Junda Wang, Meysam Ghaffari, Akshat Choube +3
Next-encounter ICD forecasting predicts which standardized diagnosis codes will be documented at a future visit from the longitudinal record available beforehand. The task is prosp…
Context Poisoning as Extreme-Value Attention Interference in Long-Context Language Models
Meysam Ghaffari, Nina Fatehi, Bhaskar Sen +2
Large language models can process increasingly long prompts, yet their ability to locate and use decisive evidence may degrade as irrelevant or confusable context is added. We form…
Text Over Image: Auditing Multimodal Robustness in Synthetic Medical Image Detection
Ching-Hao Chiu, Hao-Wei Chung, Gelei Xu +7
With the rapid adoption of generative AI, synthetic medical images pose growing risks, including diagnostic deception and insurance fraud. Although prior work has explored vision-l…
Reasoning Quality Emerges Early: Data Curation for Reasoning Models
Hongyi Henry Jin, Wenhan Yang, Meysam Ghaffari +2
Supervised fine-tuning (SFT) on a small, high-quality set of long reasoning traces is an effective approach for eliciting strong reasoning capabilities in Large Language Models (LL…
Next-Generation High-Resolution Vector-Borne Disease Risk Assessment
Meysam Ghaffari, Ashok Srinivasan, Anuj Mubayi +2
Vector-borne diseases cause more than 1 million deaths annually. Estimates of epidemic risk at high spatial resolutions can enable effective public health interventions. Our goal i…
High-resolution home location prediction from tweets using deep learning with dynamic structure
Meysam Ghaffari, Ashok Srinivasan, Xiuwen Liu
Timely and high-resolution estimates of the home locations of a sufficiently large subset of the population are critical for effective disaster response and public health intervent…
Duplicate matching and estimating features for detection of copy-move images forgery
Ghassem Alikhajeh, Abdolreza Mirzaei, Mehran Safayani +1
Copy-move forgery is the most popular and simplest image manipulation method. In this type of forgery, an area from the image copied, then after post processing such as rotation an…
P4QS: A Peer to Peer Privacy Preserving Query Service for Location-Based Mobile Applications
Meysam Ghaffari, Nasser Ghadiri, Mohammad Hossein Manshaei +1
The location-based services provide an interesting combination of cyber and physical worlds. However, they can also threaten the users' privacy. Existing privacy preserving protoco…
BigFCM: Fast, Precise and Scalable FCM on Hadoop
Nasser Ghadiri, Meysam Ghaffari, Mohammad Amin Nikbakht
Clustering plays an important role in mining big data both as a modeling technique and a preprocessing step in many data mining process implementations. Fuzzy clustering provides m…
Improving image watermarking based on Tabu search by Chaos
Mohammad Tafaghodi, Meysam Ghaffari, Alimohammad Latif +1
With the fast development of communication and multimedia technology, the rights of the owners of multimedia products is vulnerable to the unauthorized copies and watermarking is o…
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…
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.…