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Jamil Fayyad

10 papers hereh-index 6617 citations19 works total

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

author position
  • first author2
  • middle author8

Across the 10 of 10 papers where every author was matched, so the position is known.

fields
  • cs.CV5
  • eess.IV3
  • cs.AI1
  • cs.LG1

identity via Semantic Scholar / OpenAlex

activity
20232025
most citedLearning Team-Based Navigation: A Review of Deep Reinforcement Learning Techniques for Multi-Agent Pathfinding

47 citations · 63 across the 9 of their papers we have counts for

collaborators
Showing eess.IVShow all

3 papers · 1 filter

eess.IV2025

LesionGen: A Concept-Guided Diffusion Model for Dermatology Image Synthesis

Jamil Fayyad, Nourhan Bayasi, Ziyang Yu +1

Deep learning models for skin disease classification require large, diverse, and well-annotated datasets. However, such resources are often limited due to privacy concerns, high an…

eess.IV2024

BiasPruner: Debiased Continual Learning for Medical Image Classification

Nourhan Bayasi, Jamil Fayyad, Alceu Bissoto +2

Continual Learning (CL) is crucial for enabling networks to dynamically adapt as they learn new tasks sequentially, accommodating new data and classes without catastrophic forgetti…

eess.IV2023

Empirical Validation of Conformal Prediction for Trustworthy Skin Lesions Classification

Jamil Fayyad, Shadi Alijani, Homayoun Najjaran

Background and objective: Uncertainty quantification is a pivotal field that contributes to realizing reliable and robust systems. It becomes instrumental in fortifying safe decisi…

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