Capturing Learner's Activity Events from a Mobile Learning System Using Adaptive Event Framework. - Juliet Mutahi; Oliver Bent; Andrew Kinai; Komminist Weldemariam; Bikram Sengupta (MOBILESoft, 2015)

Towards Capturing Learners Sentiment and Context. - Jaye Clarkes-Nias; Juliet Mutahi; Andrew Kinai; Oliver Bent; Komminist Weldemariam; Saurabh Srivastava (L@S, 2015)

Seamless blended learning using the Cognitive Learning Companion: A systemic view. - Juliet Mutahi; Oliver Bent; Andrew Kinai; Komminist Weldemariam; Bikram Sengupta; Danish Contractor (IBM J. Res. Dev., 2015)

Harsh brakes at potholes in Nairobi: Context-based driver behavior in developing cities. - Aisha Walcott-Bryant; Michiaki Tatsubori; Reginald E. Bryant; Erick Oduor; Samuel Omondi; Samuel Osebe; John Wamburu; Oliver Bent (ITSC, 2016)

Modeling user behavior data in systems of engagement. - Oliver Bent; Prasenjit Dey; Komminist Weldemariam; Mukesh K. Mohania (Future Gener. Comput. Syst., 2017)

Novel Exploration Techniques (NETs) for Malaria Policy Interventions. - Oliver Bent; Sekou L. Remy; Stephen J. Roberts; Aisha Walcott-Bryant (AAAI, 2018)

Reshaping the use of digital tools to fight malaria. - Sekou L. Remy; Oliver Bent; Nelson Bore (CoRR, 2018)

Promoting Distributed Trust in Machine Learning and Computational Simulation via a Blockchain Network. - Nelson Kibichii Bore; Ravi Kiran Raman; Isaac M. Markus; Sekou L. Remy; Oliver Bent; Michael Hind; Eleftheria Kyriaki Pissadaki; Biplav Srivastava; Roman Vaculín; Kush R. Varshney; Komminist Weldemariam (CoRR, 2018)

Promoting Distributed Trust in Machine Learning and Computational Simulation. - Nelson Kibichii Bore; Ravi Kiran Raman; Isaac M. Markus; Sekou L. Remy; Oliver Bent; Michael Hind; Eleftheria Kyriaki Pissadaki; Biplav Srivastava; Roman Vaculín; Kush R. Varshney; Komminist Weldemariam (IEEE ICBC, 2019)

A Global Health Gym Environment for RL Applications. - Sekou L. Remy; Oliver Bent (NeurIPS (Competition and Demos), 2019)

A Platform for Disease Intervention Planning. - Charles M. Wachira; Sekou L. Remy; Oliver Bent; Nelson Bore; Samuel Osebe; Komminist Weldemariam; Aisha Walcott-Bryant (ICHI, 2020)

WNTRAC: Artificial Intelligence Assisted Tracking of Non-pharmaceutical Interventions Implemented Worldwide for COVID-19. - Parthasarathy Suryanarayanan; Ching-Huei Tsou; Ananya Poddar; Diwakar Mahajan; Bharath Dandala; Piyush Madan; Anshul Agrawal; Charles Wachira; Samuel Mogaka Osebe; Osnat Bar-Shira; Clifton Kipchirchir; Sharon Okwako; et al. (CoRR, 2020)

Privacy-Aware Human Activity Recognition From a Wearable Camera: Highlights From the IEEE Video And Image Processing Cup 2019 Student Competition [SP Competitions]. - Girmaw Abebe Tadesse; Oliver Bent; Lucio Marcenaro; Komminist Weldemariam; Andrea Cavallaro (IEEE Signal Process. Mag., 2020)

A Framework for Inferring Epidemiological Model Parameters using Bayesian Nonparametrics. - Oliver E. Bent; Charles Wachira; Sekou L. Remy; William Ogallo; Aisha Walcott (AMIA, 2021)

BON - Egocentric Vision Dataset for Office Activity Recognition. - Girmaw Abebe Tadesse; Oliver Bent; Komminist Weldemariam; Md. Abrar Istiak; Taufiq Hasan (IEEE DataPort, 2021)

BON: An extended public domain dataset for human activity recognition. - Girmaw Abebe Tadesse; Oliver Bent; Komminist Weldemariam; Md. Abrar Istiak; Taufiq Hasan; Andrea Cavallaro (CoRR, 2022)

Learning to Act: Novel Integration of Algorithms and Models for Epidemic Preparedness. - Sekou L. Remy; Oliver E. Bent (CoRR, 2022)

Predicting protein stability changes under multiple amino acid substitutions using equivariant graph neural networks. - Sebastien Boyer; Sam Money-Kyrle; Oliver Bent (CoRR, 2023)

Model-based reinforcement learning for protein backbone design. - Frederic Renard; Cyprien Courtot; Alfredo Reichlin; Oliver Bent (CoRR, 2024)

Protein binding affinity prediction under multiple substitutions applying eGNNs on Residue and Atomic graphs combined with Language model information: eGRAL. - Arturo Fiorellini-Bernardis; Sebastien Boyer; Christoph Brunken; Bakary N'tji Diallo; Karim Beguir; Nicolás López Carranza; Oliver Bent (CoRR, 2024)

Generative Model for Small Molecules with Latent Space RL Fine-Tuning to Protein Targets. - Ulrich A. Mbou Sob; Qiulin Li; Miguel Arbesú; Oliver Bent; Andries P. Smit; Arnu Pretorius (CoRR, 2024)

Metalic: Meta-Learning In-Context with Protein Language Models. - Jacob Beck; Shikha Surana; Manus McAuliffe; Oliver Bent; Thomas D. Barrett; Juan Jose Garau-Luis; Paul Duckworth (ICLR, 2025)

Discriminative protein sequence modelling with Latent Space Diffusion. - Eoin Quinn; Ghassene Jebali; Maxime Seince; Oliver Bent (CoRR, 2025)

Universally applicable and tunable graph-based coarse-graining for Machine learning force fields. - Christoph Brunken; Sebastien Boyer; Mustafa Omar; Martin Maarand; Olivier Peltre; Solal Attias; Bakary N'tji Diallo; Anastasia Markina; Olaf Othersen; Oliver Bent (CoRR, 2025)