player2vec: A Language Modeling Approach to Understand Player Behavior in Games

no code implementations • 5 Apr 2024 • Tianze Wang, Maryam Honari-Jahromi, Styliani Katsarou, Olga Mikheeva, Theodoros Panagiotakopoulos, Sahar Asadi, Oleg Smirnov

Methods for learning latent user representations from historical behavior logs have gained traction for recommendation tasks in e-commerce, content streaming, and other settings.

Language Modelling

Aligned Multi-Task Gaussian Process

no code implementations • 29 Oct 2021 • Olga Mikheeva, Ieva Kazlauskaite, Adam Hartshorne, Hedvig Kjellström, Carl Henrik Ek, Neill D. F. Campbell

Building on the previous work by Kazlauskaiteet al. [2019], we include a separate monotonic warp of the input data to model temporal misalignment.

Bayesian Inference Gaussian Processes +4

Bayesian nonparametric shared multi-sequence time series segmentation

no code implementations • 27 Jan 2020 • Olga Mikheeva, Ieva Kazlauskaite, Hedvig Kjellström, Carl Henrik Ek

In this paper, we introduce a method for segmenting time series data using tools from Bayesian nonparametrics.

Segmentation Time Series +1

Machine Learning and Social Robotics for Detecting Early Signs of Dementia

no code implementations • 5 Sep 2017 • Patrik Jonell, Joseph Mendelson, Thomas Storskog, Goran Hagman, Per Ostberg, Iolanda Leite, Taras Kucherenko, Olga Mikheeva, Ulrika Akenine, Vesna Jelic, Alina Solomon, Jonas Beskow, Joakim Gustafson, Miia Kivipelto, Hedvig Kjellstrom

This paper presents the EACare project, an ambitious multi-disciplinary collaboration with the aim to develop an embodied system, capable of carrying out neuropsychological tests to detect early signs of dementia, e. g., due to Alzheimer's disease.

BIG-bench Machine Learning