Teemu Roos

According to our database, Teemu Roos authored at least 66 papers between 2002 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

A Multilabel Classification Framework for Approximate Nearest Neighbor Search.

Ville Hyvönen, Elias Jääsaari, Teemu Roos

J. Mach. Learn. Res., 2024

An XAI Social Media Platform for Teaching K-12 Students AI-Driven Profiling, Clustering, and Engagement-Based Recommending.

Nicolas Pope, Juho Kahila, Henriikka Vartiainen, Mohammed Saqr, Sonsoles López-Pernas, Teemu Roos, Jari Laru, Matti Tedre

CoRR, 2024

LoRANN: Low-Rank Matrix Factorization for Approximate Nearest Neighbor Search.

Elias Jääsaari, Ville Hyvönen, Teemu Roos

CoRR, 2024

Regional Ocean Forecasting with Hierarchical Graph Neural Networks.

Daniel Holmberg, Emanuela Clementi, Teemu Roos

CoRR, 2024

Modeling 3D Infant Kinetics Using Adaptive Graph Convolutional Networks.

Daniel Holmberg, Manu Airaksinen, Viviana Marchi, Andrea Guzzetta, Anna Kivi, Leena Haataja, Sampsa Vanhatalo, Teemu Roos

CoRR, 2024

An Educational Tool for Learning about Social Media Tracking, Profiling, and Recommendation.

Nicolas Pope, Juho Kahila, Jari Laru, Henriikka Vartiainen, Teemu Roos, Matti Tedre

Proceedings of the IEEE International Conference on Advanced Learning Technologies, 2024

2023

Transfer Learning with Ensembles of Deep Neural Networks for Skin Cancer Detection in Imbalanced Data Sets.

Aqsa Saeed Qureshi, Teemu Roos

Neural Process. Lett., 2023

Graph Representation of the Magnetic Field Topology in High-Fidelity Plasma Simulations for Machine Learning Applications.

Ioanna Bouri, Fanni Franssila, Markku Alho, Giulia Cozzani, Ivan Zaitsev, Minna Palmroth, Teemu Roos

CoRR, 2023

2021

Gradient-based training and pruning of radial basis function networks with an application in materials physics.

Jussi Määttä, Viacheslav Bazaliy, Jyri Kimari, Flyura Djurabekova, Kai Nordlund, Teemu Roos

Neural Networks, 2021

Transfer Learning with Ensembles of Deep Neural Networks for Skin Cancer Classification in Imbalanced Data Sets.

Aqsa Saeed Qureshi, Teemu Roos

CoRR, 2021

2020

Nonlinear dimensionality reduction for clustering.

Sotiris K. Tasoulis, Nicos G. Pavlidis, Teemu Roos

Pattern Recognit., 2020

2019

Supervised Learning Approach to Approximate Nearest Neighbor Search.

Ville Hyvönen, Elias Jääsaari, Teemu Roos

CoRR, 2019

Minimum Description Length Revisited.

Peter Grünwald, Teemu Roos

CoRR, 2019

Efficient Autotuning of Hyperparameters in Approximate Nearest Neighbor Search.

Elias Jääsaari, Ville Hyvönen, Teemu Roos

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2019

2018

Quantitative methods for the analysis of medieval calendars.

Tuomas Heikkilä, Teemu Roos

Digit. Scholarsh. Humanit., 2018

Learning Non-parametric Markov Networks with Mutual Information.

Janne Leppä-aho, Santeri Räisänen, Xiao Yang, Teemu Roos

Proceedings of the International Conference on Probabilistic Graphical Models, 2018

An Application of Storage-Optimal MatDot Codes for Coded Matrix Multiplication: Fast k-Nearest Neighbors Estimation.

Utsav Sheth, Sanghamitra Dutta, Malhar Chaudhari, Haewon Jeong, Yaoqing Yang, Jukka Kohonen, Teemu Roos, Pulkit Grover

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

Minimax Optimal Bayes Mixtures for Memoryless Sources over Large Alphabets.

Elias Jääsaari, Janne Leppä-aho, Tomi Silander, Teemu Roos

Proceedings of the Algorithmic Learning Theory, 2018

Quotient Normalized Maximum Likelihood Criterion for Learning Bayesian Network Structures.

Tomi Silander, Janne Leppä-aho, Elias Jääsaari, Teemu Roos

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

2017

Minimum Description Length Principle.

Teemu Roos

Proceedings of the Encyclopedia of Machine Learning and Data Mining, 2017

Representing local structure in Bayesian networks by Boolean functions.

Yuan Zou, Johan Pensar, Teemu Roos

Pattern Recognit. Lett., 2017

On Model Selection, Bayesian Networks, and the Fisher Information Integral.

Yuan Zou, Teemu Roos

New Gener. Comput., 2017

Learning Gaussian graphical models with fractional marginal pseudo-likelihood.

Janne Leppä-aho, Johan Pensar, Teemu Roos, Jukka Corander

Int. J. Approx. Reason., 2017

2016

Kvasir: Scalable Provision of Semantically Relevant Web Content on Big Data Framework.

Liang Wang, Sotiris K. Tasoulis, Teemu Roos, Jussi Kangasharju

IEEE Trans. Big Data, 2016

Oral fairy tale or literary fake? Investigating the origins of Little Red Riding Hood using phylogenetic network analysis.

Jamshid Tehrani, Quan Nguyen, Teemu Roos

Digit. Scholarsh. Humanit., 2016

Thematic Section on Studia Stemmatologica.

Tuomas Heikkilä, Teemu Roos

Digit. Scholarsh. Humanit., 2016

Manifold Visualization via Short Walks.

Yang Zhao, Sotiris K. Tasoulis, Teemu Roos

Proceedings of the 18th Eurographics Conference on Visualization, 2016

Sparse Logistic Regression with Logical Features.

Yuan Zou, Teemu Roos

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2016

Robust Sequential Prediction in Linear Regression with Student's t-distribution.

Jussi Määttä, Teemu Roos

Proceedings of the International Symposium on Artificial Intelligence and Mathematics, 2016

Fast nearest neighbor search through sparse random projections and voting.

Ville Hyvönen, Teemu Pitkänen, Sotiris K. Tasoulis, Elias Jaasaari, Risto Tuomainen, Liang Wang, Jukka Corander, Teemu Roos

Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

2015

Achievability of asymptotic minimax regret by horizon-dependent and horizon-independent strategies.

Kazuho Watanabe, Teemu Roos

J. Mach. Learn. Res., 2015

Fast k-NN search.

Ville Hyvönen, Teemu Pitkänen, Sotiris K. Tasoulis, Liang Wang, Teemu Roos, Jukka Corander

CoRR, 2015

Inferring intra-motif dependencies of DNA binding sites from ChIP-seq data.

Ralf Eggeling, Teemu Roos, Petri Myllymäki, Ivo Grosse

BMC Bioinform., 2015

Kvasir: Seamless Integration of Latent Semantic Analysis-Based Content Provision into Web Browsing.

Liang Wang, Sotiris K. Tasoulis, Teemu Roos, Jussi Kangasharju

Proceedings of the 24th International Conference on World Wide Web Companion, 2015

Likelihood-Based Inference of Phylogenetic Networks from Sequence Data by PhyloDAG.

Quan Nguyen, Teemu Roos

Proceedings of the Algorithms for Computational Biology, 2015

2014

Video: User-generated free-form gestures for authentication: security and memorability.

Michael Sherman, Gradeigh Clark, Yulong Yang, Shridatt Sugrim, Arttu Modig, Janne Lindqvist, Antti Oulasvirta, Teemu Roos

Proceedings of the 12th Annual International Conference on Mobile Systems, 2014

User-generated free-form gestures for authentication: security and memorability.

Michael Sherman, Gradeigh Clark, Yulong Yang, Shridatt Sugrim, Arttu Modig, Janne Lindqvist, Antti Oulasvirta, Teemu Roos

Proceedings of the 12th Annual International Conference on Mobile Systems, 2014

Bayesian properties of normalized maximum likelihood and its fast computation.

Andrew R. Barron, Teemu Roos, Kazuho Watanabe

Proceedings of the 2014 IEEE International Symposium on Information Theory, Honolulu, HI, USA, June 29, 2014

A fixed-point image denoising algorithm with automatic window selection.

Jussi Määttä, Samuli Siltanen, Teemu Roos

Proceedings of the 5th European Workshop on Visual Information Processing, 2014

Random projection based clustering for population genomics.

Sotiris K. Tasoulis, Lu Cheng, Niko Välimäki, Nicholas J. Croucher, Simon R. Harris, William P. Hanage, Teemu Roos, Jukka Corander

Proceedings of the 2014 IEEE International Conference on Big Data (IEEE BigData 2014), 2014

Robust learning of inhomogeneous PMMs.

Ralf Eggeling, Teemu Roos, Petri Myllymäki, Ivo Grosse

Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, 2014

2013

Keep it simple stupid - On the effect of lower-order terms in BIC-like criteria.

Teemu Roos, Yuan Zou

Proceedings of the 2013 Information Theory and Applications Workshop, 2013

Information capacity of full-body movements.

Antti Oulasvirta, Teemu Roos, Arttu Modig, Laura Leppänen

Proceedings of the 2013 ACM SIGCHI Conference on Human Factors in Computing Systems, 2013

Achievability of Asymptotic Minimax Regret in Online and Batch Prediction.

Kazuho Watanabe, Teemu Roos, Petri Myllymäki

Proceedings of the Asian Conference on Machine Learning, 2013

2012

Special Issue on the Fifth European Workshop on Probabilistic Graphical Models (PGM-2010).

Teemu Roos, Petri Myllymäki, Tommi S. Jaakkola

Int. J. Approx. Reason., 2012

2011

Discriminative Learning of Bayesian Networks via Factorized Conditional Log-Likelihood.

Alexandra M. Carvalho, Teemu Roos, Arlindo L. Oliveira, Petri Myllymäki

J. Mach. Learn. Res., 2011

An Extended Framework for Measuring the Information Capacity of the Human Motor System

Teemu Roos, Antti Oulasvirta

CoRR, 2011

Analysis of Textual Variation by Latent Tree Structures.

Teemu Roos, Yuan Zou

Proceedings of the 11th IEEE International Conference on Data Mining, 2011

Semi-supervised Learning for WLAN Positioning.

Teemu Pulkkinen, Teemu Roos, Petri Myllymäki

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2011, 2011

2010

Model selection by sequentially normalized least squares.

Jorma Rissanen, Teemu Roos, Petri Myllymäki

J. Multivar. Anal., 2010

Learning locally minimax optimal Bayesian networks.

Tomi Silander, Teemu Roos, Petri Myllymäki

Int. J. Approx. Reason., 2010

MDL hierarchical clustering for stemmatology.

Po-Hsiang Lai, Teemu Roos, Joseph A. O'Sullivan

Proceedings of the IEEE International Symposium on Information Theory, 2010

2009

MDL denoising revisited.

Teemu Roos, Petri Myllymäki, Jorma Rissanen

IEEE Trans. Signal Process., 2009

Evaluating methods for computer-assisted stemmatology using artificial benchmark data sets.

Teemu Roos, Tuomas Heikkilä

Lit. Linguistic Comput., 2009

Locally Minimax Optimal Predictive Modeling with Bayesian Networks.

Tomi Silander, Teemu Roos, Petri Myllymäki

Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics, 2009

Sparse Markov source estimation via transformed Lasso.

Teemu Roos, Bin Yu

Proceedings of the 2009 IEEE Information Theory Workshop, 2009

2008

Monte Carlo estimation of minimax regret with an application to MDL model selection.

Teemu Roos

Proceedings of the 2008 IEEE Information Theory Workshop, 2008

2007

Information Theoretic Methods for Bioinformatics.

Jorma Rissanen, Peter D. Grünwald, Jukka Heikkonen, Petri Myllymäki, Teemu Roos, Juho Rousu

EURASIP J. Bioinform. Syst. Biol., 2007

2006

A Compression-Based Method for Stemmatic Analysis.

Teemu Roos, Tuomas Heikkilä, Petri Myllymäki

Proceedings of the ECAI 2006, 17th European Conference on Artificial Intelligence, August 29, 2006

2005

On Discriminative Bayesian Network Classifiers and Logistic Regression.

Teemu Roos, Hannes Wettig, Peter Grünwald, Petri Myllymäki, Henry Tirri

Mach. Learn., 2005

Generalization to Unseen Cases.

Teemu Roos, Peter Grünwald, Petri Myllymäki, Henry Tirri

Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005

On the Behavior of MDL Denoising.

Teemu Roos, Petri Myllymäki, Henry Tirri

Proceedings of the Tenth International Workshop on Artificial Intelligence and Statistics, 2005

2004

Topics in probabilistic location estimation in wireless networks.

Petri Kontkanen, Petri Myllymäki, Teemu Roos, Henry Tirri, Kimmo Valtonen, Hannes Wettig

Proceedings of the IEEE 15th International Symposium on Personal, 2004

2003

When Discriminative Learning of Bayesian Network Parameters Is Easy.

Hannes Wettig, Peter Grünwald, Teemu Roos, Petri Myllymäki, Henry Tirri

Proceedings of the IJCAI-03, 2003

2002

A Statistical Modeling Approach to Location Estimation.

Teemu Roos, Petri Myllymäki, Henry Tirri

IEEE Trans. Mob. Comput., 2002

A Probabilistic Approach to WLAN User Location Estimation.

Teemu Roos, Petri Myllymäki, Henry Tirri, Pauli Misikangas, Juha Sievänen

Int. J. Wirel. Inf. Networks, 2002