◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Fadi B. Nahab

6 papers hereh-index 432 citations12 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author5

Across the 5 of 6 papers where every author was matched, so the position is known.

fields
  • cs.LG3
  • eess.SP2
  • cs.AI1

identity via Semantic Scholar / OpenAlex

activity
20222026
most citedLearning From Alarms: A Robust Learning Approach for Accurate Photoplethysmography-Based Atrial Fibrillation Detection using Eight Million Samples Labeled with Imprecise Arrhythmia Alarms

2 citations · 3 across the 6 of their papers we have counts for

collaborators
Showing cs.LGShow all

3 papers · 1 filter

cs.LG2026

Enhanced Atrial Fibrillation Prediction in ESUS Patients with Hypergraph-based Pre-training

Yuzhang Xie, Yuhua Wu, Ruiyu Wang +3

Atrial fibrillation (AF) is a major complication following embolic stroke of undetermined source (ESUS), elevating the risk of recurrent stroke and mortality. Early identification…

cs.LG2025

Towards Synthesizing Normative Data for Cognitive Assessments Using Generative Multimodal Large Language Models

Victoria Yan, Honor Chotkowski, Fengran Wang +6

Cognitive assessments require normative data as essential benchmarks for evaluating individual performance. Hence, developing new cognitive tests based on novel image stimuli is ch…

cs.LG2023

Reconsideration on evaluation of machine learning models in continuous monitoring using wearables

Cheng Ding, Zhicheng Guo, Cynthia Rudin +3

This paper explores the challenges in evaluating machine learning (ML) models for continuous health monitoring using wearable devices beyond conventional metrics. We state the comp…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.