Search Results - "Bent, Oliver"
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A Framework for Inferring Epidemiological Model Parameters using Bayesian Nonparametrics
Published in AMIA ... Annual Symposium proceedings (2021)“…The use of epidemiological models for decision-making has been prominent during the COVID-19 pandemic. Our work presents the application of nonparametric…”
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Journal Article -
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Modeling user behavior data in systems of engagement
Published in Future generation computer systems (01-03-2017)“…The proliferation of mobile devices has changed the way digital information is consumed and its efficacy measured. These personal devices know a lot about user…”
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Journal Article -
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WNTRAC: AI Assisted Tracking of Non-pharmaceutical Interventions Implemented Worldwide for COVID-19
Published 04-01-2021“…The Coronavirus disease 2019 (COVID-19) global pandemic has transformed almost every facet of human society throughout the world. Against an emerging, highly…”
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Journal Article -
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Machine Learning Applied to Prediction, Control and Planning from Dynamic Epidemiological Models
Published 01-01-2020“…We are ever aware of the global impact of infectious disease transmission in shaping the reality of the world around us. For much of human existence…”
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Dissertation -
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AI-assisted tracking of worldwide non-pharmaceutical interventions for COVID-19
Published in Scientific data (25-03-2021)“…The Coronavirus disease 2019 (COVID-19) global pandemic has transformed almost every facet of human society throughout the world. Against an emerging, highly…”
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Journal Article -
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Predicting protein stability changes under multiple amino acid substitutions using equivariant graph neural networks
Published 30-05-2023“…The accurate prediction of changes in protein stability under multiple amino acid substitutions is essential for realising true in-silico protein re-design. To…”
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Journal Article -
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Learning to Act: Novel Integration of Algorithms and Models for Epidemic Preparedness
Published 05-10-2022“…In this work we present a framework which may transform research and praxis in epidemic planning. Introduced in the context of the ongoing COVID-19 pandemic,…”
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Journal Article -
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Model-based reinforcement learning for protein backbone design
Published 03-05-2024“…Designing protein nanomaterials of predefined shape and characteristics has the potential to dramatically impact the medical industry. Machine learning (ML)…”
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Journal Article -
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Generative Model for Small Molecules with Latent Space RL Fine-Tuning to Protein Targets
Published 02-07-2024“…A specific challenge with deep learning approaches for molecule generation is generating both syntactically valid and chemically plausible molecular string…”
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Journal Article -
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Protein binding affinity prediction under multiple substitutions applying eGNNs on Residue and Atomic graphs combined with Language model information: eGRAL
Published 03-05-2024“…Protein-protein interactions (PPIs) play a crucial role in numerous biological processes. Developing methods that predict binding affinity changes under…”
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Journal Article -
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Metalic: Meta-Learning In-Context with Protein Language Models
Published 10-10-2024“…Predicting the biophysical and functional properties of proteins is essential for in silico protein design. Machine learning has emerged as a promising…”
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Journal Article -
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BON: An extended public domain dataset for human activity recognition
Published 12-09-2022“…Body-worn first-person vision (FPV) camera enables to extract a rich source of information on the environment from the subject's viewpoint. However, the…”
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Journal Article -
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Reshaping the use of digital tools to fight malaria
Published 06-05-2018“…In this extended abstract we present our approach to marshal digital tools in the fight against malaria. We describe our scalable infrastructure which…”
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Journal Article -
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A Platform for Disease Intervention Planning
Published in 2020 IEEE International Conference on Healthcare Informatics (ICHI) (01-11-2020)“…The research and development of new tools and strategies for disease intervention planning requires resources, data, and computation spread across multiple…”
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Conference Proceeding -
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Novel Exploration Techniques (NETs) for Malaria Policy Interventions
Published 01-12-2017“…The task of decision-making under uncertainty is daunting, especially for problems which have significant complexity. Healthcare policy makers across the globe…”
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Promoting Distributed Trust in Machine Learning and Computational Simulation
Published in 2019 IEEE International Conference on Blockchain and Cryptocurrency (ICBC) (01-05-2019)“…Policy decisions are increasingly dependent on the outcomes of simulations and/or machine learning models. The ability to share and interact with these…”
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Conference Proceeding -
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Capturing Learner's Activity Events from a Mobile Learning System Using Adaptive Event Framework
Published in 2015 2nd ACM International Conference on Mobile Software Engineering and Systems (01-05-2015)“…Several mobile-enabled solutions for education transformation have been deployed in Africa. Drawbacks of these systems include, a predominant focus on…”
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Conference Proceeding -
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Promoting Distributed Trust in Machine Learning and Computational Simulation via a Blockchain Network
Published 25-10-2018“…Policy decisions are increasingly dependent on the outcomes of simulations and/or machine learning models. The ability to share and interact with these…”
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Journal Article -
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Harsh brakes at potholes in Nairobi: Context-based driver behavior in developing cities
Published in 2016 IEEE 19th International Conference on Intelligent Transportation Systems (ITSC) (01-11-2016)“…Driving in developing cities presents numerous challenges. Traffic congestion and traffic accidents are the most visible challenges which are caused by…”
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Conference Proceeding