Ahmed M. Alaa
Orcid: 0000-0001-9936-7141
According to our database1,
Ahmed M. Alaa
authored at least 73 papers
between 2014 and 2024.
Collaborative distances:
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Bibliography
2024
CoRR, 2024
2023
Generating Drug Repurposing Hypotheses through the Combination of Disease-Specific Hypergraphs.
CoRR, 2023
CoRR, 2023
CoRR, 2023
Pruning the Way to Reliable Policies: A Multi-Objective Deep Q-Learning Approach to Critical Care.
CoRR, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
DiffInfinite: Large Mask-Image Synthesis via Parallel Random Patch Diffusion in Histopathology.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Conference on Health, Inference, and Learning, 2023
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023
2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the Machine Learning for Health, 2022
How Faithful is your Synthetic Data? Sample-level Metrics for Evaluating and Auditing Generative Models.
Proceedings of the International Conference on Machine Learning, 2022
2021
Nat. Mach. Intell., 2021
How artificial intelligence and machine learning can help healthcare systems respond to COVID-19.
Mach. Learn., 2021
CPAS: the UK's national machine learning-based hospital capacity planning system for COVID-19.
Mach. Learn., 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Learning Queueing Policies for Organ Transplantation Allocation using Interpretable Counterfactual Survival Analysis.
Proceedings of the 38th International Conference on Machine Learning, 2021
Proceedings of the 9th International Conference on Learning Representations, 2021
Learning Matching Representations for Individualized Organ Transplantation Allocation.
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021
2020
When to Lift the Lockdown? Global COVID-19 Scenario Planning and Policy Effects using Compartmental Gaussian Processes.
CoRR, 2020
When and How to Lift the Lockdown? Global COVID-19 Scenario Analysis and Policy Assessment using Compartmental Gaussian Processes.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the 37th International Conference on Machine Learning, 2020
Time Series Deconfounder: Estimating Treatment Effects over Time in the Presence of Hidden Confounders.
Proceedings of the 37th International Conference on Machine Learning, 2020
Frequentist Uncertainty in Recurrent Neural Networks via Blockwise Influence Functions.
Proceedings of the 37th International Conference on Machine Learning, 2020
Discriminative Jackknife: Quantifying Uncertainty in Deep Learning via Higher-Order Influence Functions.
Proceedings of the 37th International Conference on Machine Learning, 2020
Estimating counterfactual treatment outcomes over time through adversarially balanced representations.
Proceedings of the 8th International Conference on Learning Representations, 2020
Learning Dynamic and Personalized Comorbidity Networks from Event Data using Deep Diffusion Processes.
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020
2019
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Proceedings of the 36th International Conference on Machine Learning, 2019
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019
2018
Opportunistic Beamforming Using Dumb Basis Patterns in Cognitive Multiple Access Channels.
IEEE Trans. Veh. Technol., 2018
IEEE Trans. Netw. Sci. Eng., 2018
Personalized Risk Scoring for Critical Care Prognosis Using Mixtures of Gaussian Processes.
IEEE Trans. Biomed. Eng., 2018
IEEE J. Sel. Top. Signal Process., 2018
A Hidden Absorbing Semi-Markov Model for Informatively Censored Temporal Data: Learning and Inference.
J. Mach. Learn. Res., 2018
CoRR, 2018
AutoPrognosis: Automated Clinical Prognostic Modeling via Bayesian Optimization with Structured Kernel Learning.
Proceedings of the 35th International Conference on Machine Learning, 2018
Limits of Estimating Heterogeneous Treatment Effects: Guidelines for Practical Algorithm Design.
Proceedings of the 35th International Conference on Machine Learning, 2018
2017
Achievable Degrees of Freedom of the K-User SISO Interference Channel With Blind Interference Alignment Using Staggered Antenna Switching.
IEEE Trans. Veh. Technol., 2017
Personalized Survival Predictions for Cardiac Transplantation via Trees of Predictors.
CoRR, 2017
Individualized Risk Prognosis for Critical Care Patients: A Multi-task Gaussian Process Model.
CoRR, 2017
Bayesian Inference of Individualized Treatment Effects using Multi-task Gaussian Processes.
CoRR, 2017
Learning from Clinical Judgments: Semi-Markov-Modulated Marked Hawkes Processes for Risk Prognosis.
Proceedings of the 34th International Conference on Machine Learning, 2017
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017
2016
Defeating the Eavesdropper: On the Achievable Secrecy Capacity Using Reconfigurable Antennas.
Wirel. Pers. Commun., 2016
IEEE Trans. Veh. Technol., 2016
ConfidentCare: A Clinical Decision Support System for Personalized Breast Cancer Screening.
IEEE Trans. Multim., 2016
Spectrum sensing via reconfigurable antennas: fundamental limits and potential gains.
Telecommun. Syst., 2016
CoRR, 2016
Personalized Risk Scoring for Critical Care Patients using Mixtures of Gaussian Process Experts.
CoRR, 2016
Balancing Suspense and Surprise: Timely Decision Making with Endogenous Information Acquisition.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016
ForecastICU: A Prognostic Decision Support System for Timely Prediction of Intensive Care Unit Admission.
Proceedings of the 33nd International Conference on Machine Learning, 2016
2015
Wirel. Pers. Commun., 2015
IEEE Trans. Cogn. Commun. Netw., 2015
Opportunistic spectrum sharing using dumb basis patterns: The Line-of-Sight interference scenario.
Proceedings of the International Conference on Computing, Networking and Communications, 2015
2014
Opportunistic Beamforming using Dumb Basis Patterns in Multiple Access Cognitive Channels.
CoRR, 2014
Achievable Degrees-of-Freedom Through Blind Interference Alignment using Staggered Antenna Switching for the K-user SISO Interference Channel.
CoRR, 2014
Stable Throughput Region of Cognitive-Relay Networks with Imperfect Sensing and Finite Relaying Buffer.
CoRR, 2014
Defeating the Eavesdropper: On the Achievable Secrecy Capacity using Reconfigurable Antennas.
CoRR, 2014
Spectrum sensing via reconfigurable antennas: Is cooperation of secondary users indispensable?
Proceedings of the IEEE Wireless Communications and Networking Conference, 2014
Proceedings of the IEEE 2nd International Symposium on Telecommunication Technologies, 2014
A globally optimal Neyman-Pearson test for hard decisions fusion in cooperative spectrum sensing.
Proceedings of the International Conference on Computing, Networking and Communications, 2014