Ahmed M. Alaa

According to our database1, Ahmed M. Alaa authored at least 48 papers between 2014 and 2020.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2020
CPAS: the UK's National Machine Learning-based Hospital Capacity Planning System for COVID-19.
CoRR, 2020

Discriminative Jackknife: Quantifying Uncertainty in Deep Learning via Higher-Order Influence Functions.
CoRR, 2020

Unlabelled Data Improves Bayesian Uncertainty Calibration under Covariate Shift.
CoRR, 2020

Frequentist Uncertainty in Recurrent Neural Networks via Blockwise Influence Functions.
CoRR, 2020

When to Lift the Lockdown? Global COVID-19 Scenario Planning and Policy Effects using Compartmental Gaussian Processes.
CoRR, 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
Lifelong Bayesian Optimization.
CoRR, 2019

Time Series Deconfounder: Estimating Treatment Effects over Time in the Presence of Hidden Confounders.
CoRR, 2019

Attentive State-Space Modeling of Disease Progression.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Demystifying Black-box Models with Symbolic Metamodels.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Validating Causal Inference Models via Influence Functions.
Proceedings of the 36th International Conference on Machine Learning, 2019

Temporal Quilting for Survival Analysis.
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

A Micro-Foundation of Social Capital in Evolving Social Networks.
IEEE Trans. Netw. Sci. Eng., 2018

Personalized Risk Scoring for Critical Care Prognosis Using Mixtures of Gaussian Processes.
IEEE Trans. Biomed. Eng., 2018

Bayesian Nonparametric Causal Inference: Information Rates and Learning Algorithms.
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

Forecasting Individualized Disease Trajectories using Interpretable Deep Learning.
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

Deep Counterfactual Networks with Propensity-Dropout.
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

Personalized Donor-Recipient Matching for Organ Transplantation.
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

Random Aerial Beamforming for Underlay Cognitive Radio With Exposed Secondary Users.
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

A Semi-Markov Switching Linear Gaussian Model for Censored Physiological Data.
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
Globally Optimal Cooperation in Dense Cognitive Radio Networks.
Wirel. Pers. Commun., 2015

Self-Organizing Networks of Information Gathering Cognitive Agents.
IEEE Trans. Cogn. Commun. Netw., 2015

Evolution of Social Networks: A Microfounded Model.
CoRR, 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

Band-Sweeping M-ary PSK (BS-M-PSK) Modulation and Transceiver Design.
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

On the capacity of the underwater acoustic channel with dominant noise sources.
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


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