◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

U. Acharya

27 papers hereh-index 255.4k citations51 works total

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

author position
  • middle author8
  • last author17

Across the 25 of 27 papers where every author was matched, so the position is known.

fields
  • cs.LG9
  • eess.IV7
  • cs.AI3
  • q-bio.NC3
  • cs.CV2
  • eess.SP2
same name
  • U. Acharya — 39 papers, h 8
  • U. Acharya — 2 papers
  • U. Acharya — 1 paper, h 37
  • U. Acharya — 1 paper, h 19
  • U. Acharya — 1 paper, h 12

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20202026
most citedA Review of Uncertainty Quantification in Deep Learning: Techniques, Applications and Challenges

2.7k citations · 3.9k across the 27 of their papers we have counts for

collaborators
Showing 2025Show all

3 papers · 1 filter

q-bio.NC2025

Rewiring Human Brain Networks via Lightweight Dynamic Connectivity Framework: An EEG-Based Stress Validation

Sayantan Acharya, Abbas Khosravi, Douglas Creighton +2

In recent years, Electroencephalographic analysis has gained prominence in stress research when combined with AI and Machine Learning models for validation. In this study, a lightw…

cs.LG2025

Exploring the Relationships Between Physiological Signals During Automated Fatigue Detection

Kourosh Kakhi, Abbas Khosravi, Roohallah Alizadehsani +1

Fatigue detection using physiological signals is critical in domains such as transportation, healthcare, and performance monitoring. While most studies focus on single modalities,…

cs.CV2025

A Quad-Step Approach to Uncertainty-Aware Deep Learning for Skin Cancer Classification

Hamzeh Asgharnezhad, Pegah Tabarisaadi, Abbas Khosravi +2

Accurate skin cancer diagnosis is vital for early treatment and improved patient outcomes. Deep learning (DL) models have shown promise in automating skin cancer classification, ye…

◍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.