Arto Klami

According to our database1, Arto Klami authored at least 46 papers between 2002 and 2018.

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Bibliography

2018
Transfer-Learning Methods in Programming Course Outcome Prediction.
TOCE, 2018

Benchmarks and models for entity-oriented polarity detection.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Detecting Industrial fouling by monotonicity during ultrasonic Cleaning.
Proceedings of the 28th IEEE International Workshop on Machine Learning for Signal Processing, 2018

On Controlling the Size of Clusters in Probabilistic Clustering.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Partially hidden Markov models for privacy-preserving modeling of indoor trajectories.
Neurocomputing, 2017

Importance Sampled Stochastic Optimization for Variational Inference.
Proceedings of the Thirty-Third Conference on Uncertainty in Artificial Intelligence, 2017

HCS at SemEval-2017 Task 5: Polarity detection in business news using convolutional neural networks.
Proceedings of the 11th International Workshop on Semantic Evaluation, 2017

Few-to-few Cross-domain Object Matching.
Proceedings of the 3rd Workshop on Advanced Methodologies for Bayesian Networks, 2017

Semi-supervised Convolutional Neural Networks for Identifying Wi-Fi Interference Sources.
Proceedings of The 9th Asian Conference on Machine Learning, 2017

2016
Using regression makes extraction of shared variation in multiple datasets easy.
Data Min. Knowl. Discov., 2016

Probabilistic Size-constrained Microclustering.
Proceedings of the Thirty-Second Conference on Uncertainty in Artificial Intelligence, 2016

Automatic Inference of Programming Performance and Experience from Typing Patterns.
Proceedings of the 47th ACM Technical Symposium on Computing Science Education, Memphis, TN, USA, March 02, 2016

Typing Patterns and Authentication in Practical Programming Exams.
Proceedings of the 2016 ACM Conference on Innovation and Technology in Computer Science Education, 2016

2015
Group Factor Analysis.
IEEE Trans. Neural Netw. Learning Syst., 2015

Towards brain-activity-controlled information retrieval: Decoding image relevance from MEG signals.
NeuroImage, 2015

Identification of programmers from typing patterns.
Proceedings of the 15th Koli Calling Conference on Computing Education Research, 2015

IntentStreams: Smart Parallel Search Streams for Branching Exploratory Search.
Proceedings of the 20th International Conference on Intelligent User Interfaces, 2015

Latent feature regression for multivariate count data.
Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, 2015

2014
Multi-task and multi-view learning of user state.
Neurocomputing, 2014

Polya-gamma augmentations for factor models.
Proceedings of the Sixth Asian Conference on Machine Learning, 2014

2013
Bayesian object matching.
Machine Learning, 2013

Bayesian Canonical correlation analysis.
Journal of Machine Learning Research, 2013

Gaussian process-based predictive modeling for bus ridership.
Proceedings of the 2013 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2013

2012
Bayesian Group Factor Analysis.
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012

Variational Bayesian Matching.
Proceedings of the 4th Asian Conference on Machine Learning, 2012

Factorized Multi-Modal Topic Model.
Proceedings of the Twenty-Eighth Conference on Uncertainty in Artificial Intelligence, 2012

Unsupervised Inference of Auditory Attention from Biosensors.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2012

2011
Matching samples of multiple views.
Data Min. Knowl. Discov., 2011

Bayesian CCA via Group Sparsity.
Proceedings of the 28th International Conference on Machine Learning, 2011

2010
Infinite factorization of multiple non-parametric views.
Machine Learning, 2010

Pinview: Implicit Feedback in Content-Based Image Retrieval.
Proceedings of the First Workshop on Applications of Pattern Analysis, 2010

Bayesian exponential family projections for coupled data sources.
Proceedings of the UAI 2010, 2010

Variational Bayesian Mixture of Robust CCA Models.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010

2009
GaZIR: gaze-based zooming interface for image retrieval.
Proceedings of the 11th International Conference on Multimodal Interfaces, 2009

Using dependencies to pair samples for multi-view learning.
Proceedings of the IEEE International Conference on Acoustics, 2009

Fast dependent components for fMRI analysis.
Proceedings of the IEEE International Conference on Acoustics, 2009

2008
Modeling of mutual dependencies.
PhD thesis, 2008

Probabilistic approach to detecting dependencies between data sets.
Neurocomputing, 2008

Simple integrative preprocessing preserves what is shared in data sources.
BMC Bioinformatics, 2008

Can relevance of images be inferred from eye movements?
Proceedings of the 1st ACM SIGMM International Conference on Multimedia Information Retrieval, 2008

2007
Local dependent components.
Proceedings of the Machine Learning, 2007

2005
Discriminative clustering.
Neurocomputing, 2005

Non-parametric dependent components.
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

2004
Improved learning of Riemannian metrics for exploratory analysis.
Neural Networks, 2004

2003
Regularized discriminative clustering.
Proceedings of the NNSP 2003, 2003

2002
Learning More Accurate Metrics for Self-Organizing Maps.
Proceedings of the Artificial Neural Networks, 2002


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