Sotabase

Career

· Reader in Machine Learning, University of Manchester2025–
· Research Assistant/Researcher, Research group at University of Manchester2024–
· Researcher, Research.manchester.ac.uk2024–
· Researcher, University of Manchester2024–
· Sr. Android Mobile Application Developer, Cartoon Network2020–

Publications (138)

Kernels for Vector-Valued Functions: a Review
Found. Trends Mach. Learn. · 2011
1,010
cited
Computationally Efficient Convolved Multiple Output Gaussian Processes
Journal of machine learning research · 2011
336
cited
Sparse Convolved Gaussian Processes for Multi-output Regression
Neural Information Processing Systems · 2008
228
cited
Latent Force Models
International Conference on Artificial Intelligence and Statistics · 2009
214
cited
Short-term wind speed prediction based on robust Kalman filtering: An experimental comparison
2015
161
cited
Efficient Multioutput Gaussian Processes through Variational Inducing Kernels
International Conference on Artificial Intelligence and Statistics · 2010
140
cited
Linear Latent Force Models Using Gaussian Processes
IEEE Transactions on Pattern Analysis and Machine Intelligence · 2011
135
cited
Heterogeneous Multi-output Gaussian Process Prediction
Neural Information Processing Systems · 2018
77
cited
Gaussian Process Latent Force Models for Learning and Stochastic Control of Physical Systems
IEEE Transactions on Automatic Control · 2017
57
cited
SVM-based feature selection methods for emotion recognition from multimodal data
Journal on Multimodal User Interfaces · 2016
53
cited
Switched Latent Force Models for Movement Segmentation
Neural Information Processing Systems · 2010
43
cited
HD-VideoBench. A Benchmark for Evaluating High Definition Digital Video Applications
IEEE International Symposium on Workload Characterization · 2007
40
cited
Multi-task Learning for Aggregated Data using Gaussian Processes
Neural Information Processing Systems · 2019
39
cited
Differentially Private Regression with Gaussian Processes
International Conference on Artificial Intelligence and Statistics · 2018
35
cited
Efficient Modeling of Latent Information in Supervised Learning using Gaussian Processes
Neural Information Processing Systems · 2017
35
cited
Feature selection for multimodal emotion recognition in the arousal-valence space
Annual International Conference of the IEEE Engineering in Medicine and Biology Society · 2013
31
cited
Performance Impact of Unaligned Memory Operations in SIMD Extensions for Video Codec Applications
IEEE International Symposium on Performance Analysis of Systems and Software · 2007
30
cited
Gaussian process dynamical models for multimodal affect recognition
Annual International Conference of the IEEE Engineering in Medicine and Biology Society · 2016
27
cited
Kernels for Vector-Valued Functions
2012
25
cited
A Highly Scalable Parallel Implementation of H.264
Trans. High Perform. Embed. Archit. Compil. · 2011
23
cited
Sotabase
Mauricio Alvarez | Researcher Profile | Sotabase | Sotabase