Tameem Adel

Orcid: 0000-0003-1835-9225

Affiliations:
  • Radboud University


According to our database1, Tameem Adel authored at least 21 papers between 2010 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

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Bibliography

2023
A General Model for Side Information in Neural Networks.
Algorithms, 2023

2021
Getting a CLUE: A Method for Explaining Uncertainty Estimates.
Proceedings of the 9th International Conference on Learning Representations, 2021

2020
Continual Learning with Adaptive Weights (CLAW).
Proceedings of the 8th International Conference on Learning Representations, 2020

Conditional Learning of Fair Representations.
Proceedings of the 8th International Conference on Learning Representations, 2020

2019
Human Centered Artificial Intelligence: Weaving UX into Algorithmic Decision Making.
Proceedings of the 16th International Conference on Human-Computer Interaction, 2019

TibGM: A Transferable and Information-Based Graphical Model Approach for Reinforcement Learning.
Proceedings of the 36th International Conference on Machine Learning, 2019

One-Network Adversarial Fairness.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Discovering Interpretable Representations for Both Deep Generative and Discriminative Models.
Proceedings of the 35th International Conference on Machine Learning, 2018

2017
Visualizing Deep Neural Network Decisions: Prediction Difference Analysis.
Proceedings of the 5th International Conference on Learning Representations, 2017

Unsupervised Domain Adaptation with a Relaxed Covariate Shift Assumption.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

Learning Bayesian Networks with Incomplete Data by Augmentation.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Learning Bayesian Networks without Assuming Missing at Random.
CoRR, 2016

Collapsed Variational Inference for Sum-Product Networks.
Proceedings of the 33nd International Conference on Machine Learning, 2016

2015
A Weakly Supervised Learning Approach based on Spectral Graph-Theoretic Grouping.
CoRR, 2015

Learning the Structure of Sum-Product Networks via an SVD-based Algorithm.
Proceedings of the Thirty-First Conference on Uncertainty in Artificial Intelligence, 2015

A Probabilistic Covariate Shift Assumption for Domain Adaptation.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2013
Generative Multiple-Instance Learning Models For Quantitative Electromyography.
Proceedings of the Twenty-Ninth Conference on Uncertainty in Artificial Intelligence, 2013

2012
Decomposition of intramuscular EMG signals using a knowledge -based certainty classifier algorithm.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

Muscle categorization using PDF estimation and Naive Bayes classification.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

2011
Tuning Graded Possibilistic Clustering by Visual Stability Analysis.
Proceedings of the Fuzzy Logic and Applications - 9th International Workshop, 2011

2010
ASCM: An accelerated soft c-means clustering algorithm.
Proceedings of the 10th International Conference on Intelligent Systems Design and Applications, 2010


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