Tameem Adel - RankMe

37 papers A* 10A 2B 1C 1Journal 12Unranked 11

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Adaptive Few-Shot Class-Incremental Learning via Latent Variable Models. J. Artif. Intell. Res. Tameem Adel
2025	—	`conf`	Adversarial Robustness. ICAAI Tameem Adel
2025	—	`conf`	Agent-Based Modelling of Retinal Development. IWBBIO (2) Cayla Harris, Umar Abubacar, Ryan Bournes, Tameem Adel, Alireza Tamaddoni-Nezhad, Roman Bauer
2025	J	`jnl`	The Bayesian Approach to Continual Learning: An Overview. CoRR Tameem Adel
2025	—	`conf`	Uncertainty Estimates for Support Vector Machines in the Transfer Learning Paradigm. ICAAI Tameem Adel
2024	—	`conf`	Adversarial Learning of Summary Statistics for Approximate Bayesian Computation. ICAAI Tameem Adel
2024	—	`conf`	Automated Class-Imbalanced Learning by Bayesian Optimisation. ICAAI Tameem Adel
2024	—	`conf`	Explaining Time Series Predictions via Relevant Shapelets. ICAAI Tameem Adel
2024	J	`jnl`	Similarity-Based Adaptation for Task-Aware and Task-Free Continual Learning. J. Artif. Intell. Res. Tameem Adel
2024	J	`jnl`	Trustworthy Artificial Intelligence in the Context of Metrology. CoRR Tameem Adel, Sam Bilson, Mark Levene, Andrew Thompson
2023	J	`jnl`	A General Model for Side Information in Neural Networks. Algorithms Tameem Adel, Mark Levene
2023	B	`conf`	Probabilistic Adaptation for Meta-Learning. ESANN Tameem Adel
2021	A*	`conf`	Getting a CLUE: A Method for Explaining Uncertainty Estimates. ICLR Javier Antorán, Umang Bhatt, Tameem Adel, Adrian Weller, José Miguel Hernández-Lobato
2020	A*	`conf`	Conditional Learning of Fair Representations. ICLR Han Zhao, Amanda Coston, Tameem Adel, Geoffrey J. Gordon
2020	A*	`conf`	Continual Learning with Adaptive Weights (CLAW). ICLR Tameem Adel, Han Zhao, Richard E. Turner
2020	J	`jnl`	Getting a CLUE: A Method for Explaining Uncertainty Estimates. CoRR Javier Antorán, Umang Bhatt, Tameem Adel, Adrian Weller, José Miguel Hernández-Lobato
2019	J	`jnl`	Conditional Learning of Fair Representations. CoRR Han Zhao, Amanda Coston, Tameem Adel, Geoffrey J. Gordon
2019	J	`jnl`	Continual Learning with Adaptive Weights (CLAW). CoRR Tameem Adel, Han Zhao, Richard E. Turner
2019	—	`conf`	Human Centered Artificial Intelligence: Weaving UX into Algorithmic Decision Making. RoCHI Raymond R. Bond, Maurice D. Mulvenna, Hui Wan, Dewar D. Finlay, Alexander Wong, Ansgar Koene, Rob Brisk, Jennifer Boger, Tameem Adel
2019	A*	`conf`	One-Network Adversarial Fairness. AAAI Tameem Adel, Isabel Valera, Zoubin Ghahramani, Adrian Weller
2019	A*	`conf`	TibGM: A Transferable and Information-Based Graphical Model Approach for Reinforcement Learning. ICML Tameem Adel, Adrian Weller
2018	A*	`conf`	Discovering Interpretable Representations for Both Deep Generative and Discriminative Models. ICML Tameem Adel, Zoubin Ghahramani, Adrian Weller
2017	A*	`conf`	Learning Bayesian Networks with Incomplete Data by Augmentation. AAAI Tameem Adel, Cassio P. de Campos
2017	A*	`conf`	Unsupervised Domain Adaptation with a Relaxed Covariate Shift Assumption. AAAI Tameem Adel, Han Zhao, Alexander Wong
2017	—	`conf`	Visualizing Deep Neural Network Decisions: Prediction Difference Analysis. ICLR (Poster) Luisa M. Zintgraf, Taco S. Cohen, Tameem Adel, Max Welling
2017	J	`jnl`	Visualizing Deep Neural Network Decisions: Prediction Difference Analysis. CoRR Luisa M. Zintgraf, Taco S. Cohen, Tameem Adel, Max Welling
2016	A*	`conf`	Collapsed Variational Inference for Sum-Product Networks. ICML Han Zhao, Tameem Adel, Geoffrey J. Gordon, Brandon Amos
2016	J	`jnl`	Learning Bayesian Networks without Assuming Missing at Random. CoRR Tameem Adel, Cassio P. de Campos
2015	A*	`conf`	A Probabilistic Covariate Shift Assumption for Domain Adaptation. AAAI Tameem Adel, Alexander Wong
2015	J	`jnl`	A Weakly Supervised Learning Approach based on Spectral Graph-Theoretic Grouping. CoRR Tameem Adel, Alexander Wong, Daniel W. Stashuk
2015	A	`conf`	Learning the Structure of Sum-Product Networks via an SVD-based Algorithm. UAI Tameem Adel, David Balduzzi, Ali Ghodsi
2013	A	`conf`	Generative Multiple-Instance Learning Models For Quantitative Electromyography. UAI Tameem Adel, Benn Smith, Ruth Urner, Daniel W. Stashuk, Daniel J. Lizotte
2013	J	`jnl`	Generative Multiple-Instance Learning Models For Quantitative Electromyography. CoRR Tameem Adel, Benn Smith, Ruth Urner, Daniel W. Stashuk, Daniel J. Lizotte
2012	—	`conf`	Decomposition of intramuscular EMG signals using a knowledge -based certainty classifier algorithm. EMBC Hossein Parsaei, Daniel W. Stashuk, Tameem Adel
2012	—	`conf`	Muscle categorization using PDF estimation and Naive Bayes classification. EMBC Tameem Adel, Benn Smith, Daniel W. Stashuk
2011	—	`conf`	Tuning Graded Possibilistic Clustering by Visual Stability Analysis. WILF Stefano Rovetta, Francesco Masulli, Tameem Adel
2010	C	`conf`	ASCM: An accelerated soft c-means clustering algorithm. ISDA Tameem Adel, Mohamed Ismail