Arto Klami

Orcid: 0000-0002-7950-1355

According to our database1, Arto Klami authored at least 81 papers between 2002 and 2023.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2023
PreliZ: A tool-box for prior elicitation.
J. Open Source Softw., October, 2023

Exploring uplift modeling with high class imbalance.
Data Min. Knowl. Discov., March, 2023

Prior Specification for Bayesian Matrix Factorization via Prior Predictive Matching.
J. Mach. Learn. Res., 2023

Riemannian Laplace Approximation with the Fisher Metric.
CoRR, 2023

Warped geometric information on the optimisation of Euclidean functions.
CoRR, 2023

Scalable Stochastic Gradient Riemannian Langevin Dynamics in Non-Diagonal Metrics.
CoRR, 2023

Extending Interpolation Consistency Training for Unsupervised Domain Adaptation.
Proceedings of the International Joint Conference on Neural Networks, 2023

Estimating the Contamination Factor's Distribution in Unsupervised Anomaly Detection.
Proceedings of the International Conference on Machine Learning, 2023

2022
Scalable Crop Yield Prediction with Sentinel-2 Time Series and Temporal Convolutional Network.
Remote. Sens., 2022

Neural network for determining an asteroid mineral composition from reflectance spectra.
CoRR, 2022

How Suitable Is Your Naturalistic Dataset for Theory-based User Modeling?
Proceedings of the UMAP '22: 30th ACM Conference on User Modeling, Adaptation and Personalization, Barcelona, Spain, July 4, 2022

Traversing Time with Multi-Resolution Gaussian Process State-Space Models.
Proceedings of the Learning for Dynamics and Control Conference, 2022

Second-order Document Similarity Metrics for Transformers.
Proceedings of the 5th International Conference on Natural Language and Speech Processing, 2022

Optimizing singular value based similarity measures for document similarity comparisons.
Proceedings of the 5th International Conference on Natural Language and Speech Processing, 2022

Lagrangian manifold Monte Carlo on Monge patches.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021
Multiscale Cloud Detection in Remote Sensing Images Using a Dual Convolutional Neural Network.
IEEE Trans. Geosci. Remote. Sens., 2021

Snapshot hyperspectral imaging using wide dilation networks.
Mach. Vis. Appl., 2021

Visible Light Spectrum Extraction from Diffraction Images by Deconvolution and the Cepstrum.
J. Imaging, 2021

Reliably Calibrated Isotonic Regression.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021

Learning to Lemmatize in the Word Representation Space.
Proceedings of the 23rd Nordic Conference on Computational Linguistics, 2021

Modeling Risky Choices in Unknown Environments.
Proceedings of the Asian Conference on Machine Learning, 2021

Uplift Modeling with High Class Imbalance.
Proceedings of the Asian Conference on Machine Learning, 2021

2020
Practical Camera Sensor Spectral Response and Uncertainty Estimation.
J. Imaging, 2020

Mixture of Discrete Normalizing Flows for Variational Inference.
CoRR, 2020

Multi-scale Cloud Detection in Remote Sensing Images using a Dual Convolutional Neural Network.
CoRR, 2020

Sensor Placement for Spatial Gaussian Processes with Integral Observations.
Proceedings of the Thirty-Sixth Conference on Uncertainty in Artificial Intelligence, 2020

Flexible Prior Elicitation via the Prior Predictive Distribution.
Proceedings of the Thirty-Sixth Conference on Uncertainty in Artificial Intelligence, 2020

Non-Linearities in Gaussian Processes with Integral Observations.
Proceedings of the 30th IEEE International Workshop on Machine Learning for Signal Processing, 2020

Correcting Predictions for Approximate Bayesian Inference.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Prior specification via prior predictive matching: Poisson matrix factorization and beyond.
CoRR, 2019

Variational Bayesian Decision-making for Continuous Utilities.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Low-Rank Approximations of Second-Order Document Representations.
Proceedings of the 23rd Conference on Computational Natural Language Learning, 2019

2018
Transfer-Learning Methods in Programming Course Outcome Prediction.
ACM Trans. Comput. Educ., 2018

Lambert Matrix Factorization.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 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, 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 Networks Learn. 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

Group-sparse Embeddings in Collective Matrix Factorization.
Proceedings of the 2nd International Conference on Learning Representations, 2014

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

2013
Bayesian object matching.
Mach. Learn., 2013

Bayesian Canonical correlation analysis.
J. Mach. Learn. Res., 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.
Mach. Learn., 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

Learning to rank images from eye movements.
Proceedings of the 12th IEEE International Conference on Computer Vision Workshops, 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 Bioinform., 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


  Loading...