Amr Alkhatib - RankMe

19 papers A* 1A 1B 1Misc 1Journal 6Unranked 8

Year	Rank	Type	Title / Venue / Authors
2025	—	`—`	Addressing Shortcomings of Explainable Machine Learning Methods Amr Alkhatib
2025	B	`conf`	Explaining Deep Neural Networks with Example and Pixel Attribution. DS Genghua Dong, Henrik Boström, Roman Bresson, Amr Alkhatib
2025	Misc	`conf`	Explaining Representations in Correlation-based Deep Multiview Representation Learning. ICASSP Maurice Kuschel, Amr Alkhatib, Tanuj Hasija, Henrik Boström
2025	J	`jnl`	Learning Conformal Explainers for Image Classifiers. CoRR Amr Alkhatib, Stephanie Lowry
2025	A*	`conf`	Prediction via Shapley Value Regression. ICML Amr Alkhatib, Roman Bresson, Henrik Boström, Michalis Vazirgiannis
2025	J	`jnl`	Prediction via Shapley Value Regression. CoRR Amr Alkhatib, Roman Bresson, Henrik Boström, Michalis Vazirgiannis
2024	—	`conf`	Estimating Quality of Approximated Shapley Values Using Conformal Prediction. COPA Amr Alkhatib, Henrik Boström, Ulf Johansson
2024	J	`jnl`	Explaining Predictions by Characteristic Rules. CoRR Amr Alkhatib, Henrik Boström, Michalis Vazirgiannis
2024	—	`conf`	Fast Approximation of Shapley Values with Limited Data. SCAI Amr Alkhatib, Henrik Boström
2024	—	`conf`	Interpretable Graph Neural Networks for Heterogeneous Tabular Data. DS (1) Amr Alkhatib, Henrik Boström
2024	J	`jnl`	Interpretable Graph Neural Networks for Heterogeneous Tabular Data. CoRR Amr Alkhatib, Henrik Boström
2024	A	`conf`	Interpretable Graph Neural Networks for Tabular Data. ECAI Amr Alkhatib, Sofiane Ennadir, Henrik Boström, Michalis Vazirgiannis
2023	—	`conf`	Approximating Score-based Explanation Techniques Using Conformal Regression. COPA Amr Alkhatib, Henrik Boström, Sofiane Ennadir, Ulf Johansson
2023	J	`jnl`	Approximating Score-based Explanation Techniques Using Conformal Regression. CoRR Amr Alkhatib, Henrik Boström, Sofiane Ennadir, Ulf Johansson
2023	—	`conf`	Conformalized Adversarial Attack Detection for Graph Neural Networks. COPA Sofiane Ennadir, Amr Alkhatib, Henrik Boström, Michalis Vazirgiannis
2023	J	`jnl`	Interpretable Graph Neural Networks for Tabular Data. CoRR Amr Alkhatib, Sofiane Ennadir, Henrik Boström, Michalis Vazirgiannis
2023	—	`conf`	UnboundAttack: Generating Unbounded Adversarial Attacks to Graph Neural Networks. COMPLEX NETWORKS (1) Sofiane Ennadir, Amr Alkhatib, Giannis Nikolentzos, Michalis Vazirgiannis, Henrik Boström
2022	—	`conf`	Assessing Explanation Quality by Venn Prediction. COPA Amr Alkhatib, Henrik Boström, Ulf Johansson
2022	—	`conf`	Explaining Predictions by Characteristic Rules. ECML/PKDD (1) Amr Alkhatib, Henrik Boström, Michalis Vazirgiannis