Jamil Fayyad

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All published works

Action	Title	Year	Authors
+ PDF Chat	Conformal-in-the-Loop for Learning with Imbalanced Noisy Data	2024	John Brandon Graham-Knight Jamil Fayyad Nourhan Bayasi Patricia Lasserre Homayoun Najjaran
+ PDF Chat	Debiasify: Self-Distillation for Unsupervised Bias Mitigation	2024	Nourhan Bayasi Jamil Fayyad Ghassan Hamarneh Rafeef Garbi Homayoun Najjaran
+ PDF Chat	Sim-to-Real Domain Adaptation for Deformation Classification	2024	Joel Sol Jamil Fayyad Shadi Alijani Homayoun Najjaran
+ PDF Chat	BiasPruner: Debiased Continual Learning for Medical Image Classification	2024	Nourhan Bayasi Jamil Fayyad Alceu Bissoto Ghassan Hamarneh Rafeef Garbi
+	Empirical validation of Conformal Prediction for trustworthy skin lesions classification	2024	Jamil Fayyad Shadi Alijani Homayoun Najjaran
+ PDF Chat	Vision Transformers in Domain Adaptation and Generalization: A Study of Robustness	2024	Shadi Alijani Jamil Fayyad Homayoun Najjaran
+	Model Compression Methods for YOLOv5: A Review	2023	Mohammad Jani Jamil Fayyad Younes Al Younes Homayoun Najjaran
+	Learning to Team-Based Navigation: A Review of Deep Reinforcement Learning Techniques for Multi-Agent Pathfinding	2023	Jaehoon Chung Jamil Fayyad Younes Al Younes Homayoun Najjaran
+	Empirical Validation of Conformal Prediction for Trustworthy Skin Lesions Classification	2023	Jamil Fayyad Shadi Alijani Homayoun Najjaran

Common Coauthors

Coauthor	Papers Together
Homayoun Najjaran	8
Shadi Alijani	4
Nourhan Bayasi	3
Rafeef Garbi	2
Younes Al Younes	2
Ghassan Hamarneh	2
Mohammad Jani	1
Patricia Lasserre	1
John Brandon Graham-Knight	1
Alceu Bissoto	1
Joel Sol	1
Jaehoon Chung	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Markov chain Monte Carlo method and its application	1998	Stephen P. Brooks	1
+	A tutorial on conformal prediction	2007	Glenn Shafer Vladimir Vovk	1
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	1
+ PDF Chat	Deep Learning in Remote Sensing: A Comprehensive Review and List of Resources	2017	Xiao Xiang Zhu Devis Tuia Lichao Mou Gui-Song Xia Liangpei Zhang Feng Xu Friedrich Fraundorfer	1
+	Predictive Uncertainty Estimation via Prior Networks	2018	Andrey Malinin Mark Gales	1
+	Evidential Deep Learning to Quantify Classification Uncertainty	2018	Murat Şensoy Lance Kaplan Melih Kandemir	1
+	Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles	2016	Balaji Lakshminarayanan Alexander Pritzel Charles Blundell	1
+ PDF Chat	Deeply uncertain: comparing methods of uncertainty quantification in deep learning algorithms	2020	João Caldeira B. Nord	1
+ PDF Chat	Quantifying and leveraging predictive uncertainty for medical image assessment	2020	Florin C. Ghesu Bogdan Georgescu Awais Mansoor Youngjin Yoo Eli Gibson R. S. Vishwanath Abishek Balachandran James M. Balter Yue Cao Ramandeep Singh	1
+ PDF Chat	The HAM10000 dataset, a large collection of multi-source dermatoscopic images of common pigmented skin lesions	2018	Philipp Tschandl Cliff Rosendahl Harald Kittler	1
+	Uncertainty Sets for Image Classifiers using Conformal Prediction	2021	Anastasios N. Angelopoulos Stephen Bates Michael I. Jordan Jitendra Malik	1
+ PDF Chat	Fair Conformal Predictors for Applications in Medical Imaging	2022	Charles Lu Andréanne Lemay Ken Chang Katharina Höbel Jayashree Kalpathy‐Cramer	1
+	A Gentle Introduction to Conformal Prediction and Distribution-Free Uncertainty Quantification	2021	Anastasios N. Angelopoulos Stephen Bates	1
+	Trustworthy clinical AI solutions: a unified review of uncertainty quantification in deep learning models for medical image analysis	2022	Benjamin Lambert Florence Forbes Alan Tucholka Senan Doyle Harmonie Dehaene Michel Dojat	1
+	Robust Models are less Over-Confident	2022	Julia Grabinski Paul Gavrikov Janis Keuper Margret Keuper	1
+	A Survey on Uncertainty Quantification Methods for Deep Neural Networks: An Uncertainty Source Perspective	2023	Wenchong He Zhe Jiang	1
+ PDF Chat	Trusted multi-scale classification framework for whole slide image	2023	Feng Ming Kele Xu Nanhui Wu Weiquan Huang Yan Bai Yin Wang Changjian Wang Huaimin Wang	1