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Articles by Teemu Roos

An XAI Social Media Platform for Teaching K-12 Students AI-Driven Profiling, Clustering, and Engagement-Based Recommending
18 December 2024 by Nicolas Pope and others
Computers and Society
Learning Developmental Age from 3D Infant Kinetics Using Adaptive Graph Neural Networks
4 December 2024 by Daniel Holmberg and others at LogoUniversity of Helsinki
Computer Vision and Pattern Recognition, Machine Learning
Regional Ocean Forecasting with Hierarchical Graph Neural Networks
20 November 2024 by Daniel Holmberg and others
Atmospheric and Oceanic Physics, Machine Learning
LoRANN: Low-Rank Matrix Factorization for Approximate Nearest Neighbor Search
24 October 2024 by Elias Jääsaari and others at LogoAalto University
Machine Learning
Quotient Normalized Maximum Likelihood Criterion for Learning Bayesian Network Structures
27 August 2024 by Tomi Silander and others
Machine Learning, Artificial Intelligence
An Educational Tool for Learning about Social Media Tracking, Profiling, and Recommendation
2 February 2024 by Nicolas Pope and others
Computers and Society
Graph Representation of the Magnetic Field Topology in High-Fidelity Plasma Simulations for Machine Learning Applications
26 July 2023 by Ioanna Bouri and others
Plasma Physics, Machine Learning
Transfer Learning with Ensembles of Deep Neural Networks for Skin Cancer Classification in Imbalanced Data Sets
24 March 2021 by Aqsa Saeed Qureshi and Teemu Roos
Computer Vision and Pattern Recognition, Machine Learning
Approximate Nearest Neighbor Search as a Multi-Label Classification Problem
6 June 2020 by Ville Hyvönen and others
Machine Learning
Gradient-Based Training and Pruning of Radial Basis Function Networks with an Application in Materials Physics
6 April 2020 by Jussi Määttä and others
Machine Learning, Materials Science
Minimum Description Length Revisited
18 December 2019 by Peter Grünwald and Teemu Roos
Methodology, Information Theory
Efficient Autotuning of Hyperparameters in Approximate Nearest Neighbor Search
18 December 2018 by Elias Jääsaari and others
Data Structures and Algorithms, Machine Learning
An Application of Storage-Optimal MatDot Codes for Coded Matrix Multiplication: Fast k-Nearest Neighbors Estimation
28 November 2018 by Utsav Sheth and others
Information Theory, Distributed, Parallel, and Cluster Computing
Learning non-parametric Markov networks with mutual information
8 August 2017 by Janne Leppä-Aho and others
Machine Learning, Information Theory
Fast k-NN search
19 August 2016 by Ville Hyvönen and others
Machine Learning, Data Structures and Algorithms
Learning Gaussian Graphical Models With Fractional Marginal Pseudo-likelihood
25 February 2016 by Janne Leppä-Aho and others
Machine Learning
Bayesian Properties of Normalized Maximum Likelihood and its Fast Computation
28 January 2014 by Andrew Barron and others
Information Theory, Machine Learning
User-Generated Free-Form Gestures for Authentication: Security and Memorability
2 January 2014 by Michael Sherman and others
Cryptography and Security, Human-Computer Interaction
An Extended Framework for Measuring the Information Capacity of the Human Motor System
3 March 2011 by Teemu Roos and Antti Oulasvirta
Information Theory, Human-Computer Interaction
MDL Denoising Revisited
25 September 2006 by Teemu Roos and others
Information Theory