Oliver Bent

According to our database1, Oliver Bent authored at least 21 papers between 2015 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Generative Model for Small Molecules with Latent Space RL Fine-Tuning to Protein Targets.
CoRR, 2024

Protein binding affinity prediction under multiple substitutions applying eGNNs on Residue and Atomic graphs combined with Language model information: eGRAL.
CoRR, 2024

Model-based reinforcement learning for protein backbone design.
CoRR, 2024

2023
Predicting protein stability changes under multiple amino acid substitutions using equivariant graph neural networks.
CoRR, 2023

2022
Learning to Act: Novel Integration of Algorithms and Models for Epidemic Preparedness.
CoRR, 2022

BON: An extended public domain dataset for human activity recognition.
CoRR, 2022

2021
BON - Egocentric Vision Dataset for Office Activity Recognition.
Dataset, July, 2021

A Framework for Inferring Epidemiological Model Parameters using Bayesian Nonparametrics.
Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021

2020
Privacy-Aware Human Activity Recognition From a Wearable Camera: Highlights From the IEEE Video And Image Processing Cup 2019 Student Competition [SP Competitions].
IEEE Signal Process. Mag., 2020

WNTRAC: Artificial Intelligence Assisted Tracking of Non-pharmaceutical Interventions Implemented Worldwide for COVID-19.
CoRR, 2020

A Platform for Disease Intervention Planning.
Proceedings of the 8th IEEE International Conference on Healthcare Informatics, 2020

2019
A Global Health Gym Environment for RL Applications.
Proceedings of the NeurIPS 2019 Competition and Demonstration Track, 2019

Promoting Distributed Trust in Machine Learning and Computational Simulation.
Proceedings of the IEEE International Conference on Blockchain and Cryptocurrency, 2019

2018
Promoting Distributed Trust in Machine Learning and Computational Simulation via a Blockchain Network.
CoRR, 2018

Reshaping the use of digital tools to fight malaria.
CoRR, 2018

Novel Exploration Techniques (NETs) for Malaria Policy Interventions.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Modeling user behavior data in systems of engagement.
Future Gener. Comput. Syst., 2017

2016
Harsh brakes at potholes in Nairobi: Context-based driver behavior in developing cities.
Proceedings of the 19th IEEE International Conference on Intelligent Transportation Systems, 2016

2015
Seamless blended learning using the Cognitive Learning Companion: A systemic view.
IBM J. Res. Dev., 2015

Towards Capturing Learners Sentiment and Context.
Proceedings of the Second ACM Conference on Learning @ Scale, 2015

Capturing Learner's Activity Events from a Mobile Learning System Using Adaptive Event Framework.
Proceedings of the 2nd ACM International Conference on Mobile Software Engineering and Systems, 2015


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