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Resource-Constrained Decentralized Active Sensing using Distributed Gaussian Processes for Multi-Robots

Kshitij Tiwari, Valentin Honore, Sungmoon Jeong, Nak Young Chong, Marc P. Deisenroth

Bayesian Optimization with Dimension Scheduling: Application to Biological Systems

Doniyor Ulmasov, Caroline Baroukh, Benoit Chachuat, Marc P. Deisenroth, Ruth Misener

Classification of melanoma presence and thickness based on computational image analysis

Javier Sánchez-Monedero, Aurora Sáez, Marı́a Pérez-Ortiz, Pedro Antonio Gutiérrez, Cesar Hervás-Mart\ńez

Fisher score-based feature selection for ordinal classification: A social survey on subjective well-being

Marı́a Pérez-Ortiz, Mercedes Torres-Jiménez, Pedro Antonio Gutiérrez, Javier Sánchez-Monedero, César Hervás-Mart\ńez

Gaussian Process Multiclass Classification with Dirichlet Priors for Imbalanced Data

Hugh Salimbeni, Marc P. Deisenroth

Knowledge Transfer in Automatic Optimisation of Reconfigurable Designs

Maciej Kurek, Marc P. Deisenroth, Wayne Luk, Timothy Todman

Machine learning paradigms for weed mapping via unmanned aerial vehicles

Marı́a Pérez-Ortiz, Pedro Antonio Gutiérrez, José M Peña, Jorge Torres-Sánchez, Francisca López-Granados, César Hervás-Mart\ńez

Manifold Gaussian Processes for Regression

Roberto Calandra, Jan Peters, Carl E. Rasmussen, Marc P. Deisenroth

Ordinal evolutionary artificial neural networks for solving an imbalanced liver transplantation problem

Manuel Dorado-Moreno, Marı́a Pérez-Ortiz, Mar\á Dolores Ayllón-Terán, Pedro Antonio Gutiérrez, Cesar Hervás-Mart\'éz

Patch Kernels for Gaussian Processes in High-Dimensional Imaging Problems

Matthew C. H. Lee, Hugh Salimbeni, Marc P. Deisenroth, Ben Glocker