Jaakko Hollmén

According to our database, Jaakko Hollmén authored at least 94 papers between 1997 and 2023.

Collaborative distances:

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

2023

SHAMSUL: Simultaneous Heatmap-Analysis to investigate Medical Significance Utilizing Local interpretability methods.

Mahbub Ul Alam, Jaakko Hollmén, Jón Rúnar Baldvinsson, Rahim Rahmani

CoRR, 2023

A Bayesian Optimization approach for calibrating large-scale activity-based transport models.

Serio Agriesti, Vladimir Kuzmanovski, Jaakko Hollmén, Claudio Roncoli, Bat-hen Nahmias-Biran

CoRR, 2023

Explaining Black Box Reinforcement Learning Agents Through Counterfactual Policies.

Maria Movin, Guilherme Dinis Junior, Jaakko Hollmén, Panagiotis Papapetrou

Proceedings of the Advances in Intelligent Data Analysis XXI, 2023

COVID-19 detection from thermal image and tabular medical data utilizing multi-modal machine learning.

Mahbub Ul Alam, Jaakko Hollmén, Rahim Rahmani

Proceedings of the 36th IEEE International Symposium on Computer-Based Medical Systems, 2023

2022

Principal Component Analysis Visualizations in State Discovery by Animating Exploration Results.

Miki Sirola, Olli-Pekka Rinta-Koski, Le Ngu Nguyen, Jaakko Hollmén

Proceedings of the 2022 IEEE International Conference on Smart Computing, 2022

Semi-parametric Approach to Random Forests for High-Dimensional Bayesian Optimisation.

Vladimir Kuzmanovski, Jaakko Hollmén

Proceedings of the Discovery Science - 25th International Conference, 2022

Policy Evaluation with Delayed, Aggregated Anonymous Feedback.

Guilherme Dinis Junior, Sindri Magnússon, Jaakko Hollmén

Proceedings of the Discovery Science - 25th International Conference, 2022

FLICU: A Federated Learning Workflow for Intensive Care Unit Mortality Prediction.

Lena Mondrejevski, Ioanna Miliou, Annaclaudia Montanino, David Pitts, Jaakko Hollmén, Panagiotis Papapetrou

Proceedings of the 35th IEEE International Symposium on Computer-Based Medical Systems, 2022

2021

Composite Surrogate for Likelihood-Free Bayesian Optimisation in High-Dimensional Settings of Activity-Based Transportation Models.

Vladimir Kuzmanovski, Jaakko Hollmén

Proceedings of the Advances in Intelligent Data Analysis XIX, 2021

Effective Classification of Head Motion Trajectories in Virtual Reality Using Time-Series Methods.

Luis Quintero, Panagiotis Papapetrou, Jaakko Hollmén, Uno Fors

Proceedings of the IEEE International Conference on Artificial Intelligence and Virtual Reality, 2021

State Discovery and Prediction from Multivariate Sensor Data.

Olli-Pekka Rinta-Koski, Miki Sirola, Le Ngu Nguyen, Jaakko Hollmén

Proceedings of the Advanced Analytics and Learning on Temporal Data, 2021

2020

Machine Learning Methods for Neonatal Mortality and Morbidity Classification.

Joel Jaskari, Janne Myllärinen, Markus Leskinen, Ali Bahrami Rad, Jaakko Hollmén, Sture Andersson, Simo Särkkä

IEEE Access, 2020

Mitigating Discrimination in Clinical Machine Learning Decision Support Using Algorithmic Processing Techniques.

Emma Briggs, Jaakko Hollmén

Proceedings of the Discovery Science - 23rd International Conference, 2020

A Clustering Framework for Patient Phenotyping with Application to Adverse Drug Events.

Maria Bampa, Panagiotis Papapetrou, Jaakko Hollmén

Proceedings of the 33rd IEEE International Symposium on Computer-Based Medical Systems, 2020

2019

Clustering Diagnostic Profiles of Patients.

Jaakko Hollmén, Panagiotis Papapetrou

Proceedings of the Artificial Intelligence Applications and Innovations, 2019

Temporal Analysis of Adverse Weather Conditions Affecting Wheat Production in Finland.

Vladimir Kuzmanovski, Mika Sulkava, Taru Palosuo, Jaakko Hollmén

Proceedings of the Discovery Science - 22nd International Conference, 2019

2018

A survey of evaluation methods for personal route and destination prediction from mobility traces.

Roelant A. Stegmann, Indre Zliobaite, Tuukka Tolvanen, Jaakko Hollmén, Jesse Read

WIREs Data Mining Knowl. Discov., 2018

Gaussian process classification for prediction of in-hospital mortality among preterm infants.

Olli-Pekka Rinta-Koski, Simo Särkkä, Jaakko Hollmén, Markus Leskinen, Sture Andersson

Neurocomputing, 2018

Analyzing Business Process Changes Using Influence Analysis.

Teemu Lehto, Markku Hinkka, Jaakko Hollmén

Proceedings of the 8th International Symposium on Data-driven Process Discovery and Analysis (SIMPDA 2018), 2018

Exploring epistaxis as an adverse effect of anti-thrombotic drugs and outdoor temperature.

Jaakko Hollmén, Lars Asker, Isak Karlsson, Panagiotis Papapetrou, Henrik Boström, Birgitta Norstedt Wikner, Inger Öhman

Proceedings of the 11th PErvasive Technologies Related to Assistive Environments Conference, 2018

2017

Multi-label methods for prediction with sequential data.

Jesse Read, Luca Martino, Jaakko Hollmén

Pattern Recognit., 2017

A 5.3 pJ/op approximate TTA VLIW tailored for machine learning.

Jukka Teittinen, Markus Hiienkari, Indre Zliobaite, Jaakko Hollmén, Heikki Berg, Juha Heiskala, Timo Viitanen, Jesse Simonsson, Lauri Koskinen

Microelectron. J., 2017

Focusing Business Process Lead Time Improvements Using Influence Analysis.

Teemu Lehto, Markku Hinkka, Jaakko Hollmén

Proceedings of the 7th International Symposium on Data-driven Process Discovery and Analysis (SIMPDA 2017), 2017

Automatic Recognition of Public Transport Trips from Mobile Device Sensor Data and Transport Infrastructure Information.

Mikko Rinne, Mehrdad Bagheri, Tuukka Tolvanen, Jaakko Hollmén

Proceedings of the Personal Analytics and Privacy. An Individual and Collective Perspective, 2017

BLPA: Bayesian learn-predict-adjust method for online detection of recurrent changepoints.

Alexandr V. Maslov, Mykola Pechenizkiy, Yulong Pei, Indre Zliobaite, Alexander Shklyaev, Tommi Kärkkäinen, Jaakko Hollmén

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Prediction of preterm infant mortality with Gaussian process classification.

Olli-Pekka Rinta-Koski, Simo Särkkä, Jaakko Hollmén, Markus Leskinen, Sture Andersson

Proceedings of the 25th European Symposium on Artificial Neural Networks, 2017

2016

Explaining mixture models through semantic pattern mining and banded matrix visualization.

Prem Raj Adhikari, Anze Vavpetic, Jan Kralj, Nada Lavrac, Jaakko Hollmén

Mach. Learn., 2016

Labeling sensing data for mobility modeling.

Jesse Read, Indre Zliobaite, Jaakko Hollmén

Inf. Syst., 2016

Resource Frequency Prediction in Healthcare: Machine Learning Approach.

Daniel Vieira, Jaakko Hollmén

Proceedings of the 29th IEEE International Symposium on Computer-Based Medical Systems, 2016

Focusing Business Improvements Using Process Mining Based Influence Analysis.

Teemu Lehto, Markku Hinkka, Jaakko Hollmén

Proceedings of the Business Process Management Forum, 2016

2015

Optimizing regression models for data streams with missing values.

Indre Zliobaite, Jaakko Hollmén

Mach. Learn., 2015

Fast progressive training of mixture models for model selection.

Prem Raj Adhikari, Jaakko Hollmén

J. Intell. Inf. Syst., 2015

Multi-label Classification using Labels as Hidden Nodes.

Jesse Read, Jaakko Hollmén

CoRR, 2015

Variation in oxygen saturation measurements in very low birth weight infants.

Olli-Pekka Rinta-Koski, Jaakko Hollmén, Markus Leskinen, Sture Andersson

Proceedings of the 8th ACM International Conference on PErvasive Technologies Related to Assistive Environments, 2015

Resolution Transfer in Cancer Classification Based on Amplification Patterns.

Prem Raj Adhikari, Jaakko Hollmén

Proceedings of the Discovery Science - 18th International Conference, 2015

2014

Towards Hardware-driven Design of Low-energy Algorithms for Data Analysis.

Indre Zliobaite, Jaakko Hollmén, Lauri Koskinen, Jukka Teittinen

SIGMOD Rec., 2014

Defining a mobile architecture for structural health monitoring.

Panos Sakkos, Dimitrios Kotsakos, Vana Kalogeraki, Dimitrios Gunopulos, Jaakko Hollmén

Proceedings of the 7th International Conference on PErvasive Technologies Related to Assistive Environments, 2014

A Deep Interpretation of Classifier Chains.

Jesse Read, Jaakko Hollmén

Proceedings of the Advances in Intelligent Data Analysis XIII, 2014

Multi-Step Ahead Forecasting of Road Condition Using Least Squares Support Vector Regression.

Konsta Sirvio, Jaakko Hollmén

Proceedings of the 22th European Symposium on Artificial Neural Networks, 2014

Mobile Sensing Data for Urban Mobility Analysis: A Case Study in Preprocessing.

Indre Zliobaite, Jaakko Hollmén

Proceedings of the Workshops of the EDBT/ICDT 2014 Joint Conference (EDBT/ICDT 2014), 2014

2013

Fault Tolerant Regression for Sensor Data.

Indre Zliobaite, Jaakko Hollmén

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013

Mixture Models from Multiresolution 0-1 Data.

Prem Raj Adhikari, Jaakko Hollmén

Proceedings of the Discovery Science - 16th International Conference, 2013

Challenges in predicting community periodontal index from hospital dental care records.

Daniel Vieira, Jari Linden, Jaakko Hollmén, Jorma Suni

Proceedings of the 26th IEEE International Symposium on Computer-Based Medical Systems, 2013

2012

Hum-a-song: A Subsequence Matching with Gaps-Range-Tolerances Query-By-Humming System.

Alexios Kotsifakos, Panagiotis Papapetrou, Jaakko Hollmén, Dimitrios Gunopulos, Vassilis Athitsos, George Kollios

Proc. VLDB Endow., 2012

Multiresolution Mixture Modeling using Merging of Mixture Components.

Prem Raj Adhikari, Jaakko Hollmén

Proceedings of the 4th Asian Conference on Machine Learning, 2012

Three-way analysis of structural health monitoring data.

Miguel A. Prada, Janne Toivola, Jyrki Kullaa, Jaakko Hollmén

Neurocomputing, 2012

Finding representative objects using link analysis ranking.

Panagiotis Papapetrou, Tatiana Chistiakova, Jaakko Hollmén, Vana Kalogeraki, Dimitrios Gunopulos

Proceedings of the 5th International Conference on PErvasive Technologies Related to Assistive Environments, 2012

A survey of query-by-humming similarity methods.

Alexios Kotsifakos, Panagiotis Papapetrou, Jaakko Hollmén, Dimitrios Gunopulos, Vassilis Athitsos

Proceedings of the 5th International Conference on PErvasive Technologies Related to Assistive Environments, 2012

Mixture modeling of gait patterns from sensor data.

Jaakko Hollmén

Proceedings of the 5th International Conference on PErvasive Technologies Related to Assistive Environments, 2012

2011

A Subsequence Matching with Gaps-Range-Tolerances Framework: A Query-By-Humming Application.

Alexios Kotsifakos, Panagiotis Papapetrou, Jaakko Hollmén, Dimitrios Gunopulos

Proc. VLDB Endow., 2011

EnvSOM: A SOM Algorithm Conditioned on the Environment for Clustering and Visualization.

Serafín Alonso, Mika Sulkava, Miguel A. Prada, Manuel Domínguez-González, Jaakko Hollmén

Proceedings of the Advances in Self-Organizing Maps - 8th International Workshop, 2011

Gene Selection in Time-Series Gene Expression Data.

Prem Raj Adhikari, Bimal Babu Upadhyaya, Chen Meng, Jaakko Hollmén

Proceedings of the Pattern Recognition in Bioinformatics, 2011

ARTEMIS: Assessing the Similarity of Event-Interval Sequences.

Orestis Kostakis, Panagiotis Papapetrou, Jaakko Hollmén

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2011

Model-based search in large time series databases.

Alexios Kotsifakos, Vassilis Athitsos, Panagiotis Papapetrou, Jaakko Hollmén, Dimitrios Gunopulos

Proceedings of the PETRA 2011, 2011

Distance measure for querying sequences of temporal intervals.

Orestis Kostakis, Panagiotis Papapetrou, Jaakko Hollmén

Proceedings of the PETRA 2011, 2011

Logistic Fitting Method for Detecting Onset and Cessation of Tree Stem Radius Increase.

Mark J. Brewer, Mika Sulkava, Harri Mäkinen, Mikko Korpela, Pekka Nöjd, Jaakko Hollmén

Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2011, 2011

Comparative Analysis of Power Consumption in University Buildings Using envSOM.

Serafín Alonso, Manuel Domínguez-González, Miguel A. Prada, Mika Sulkava, Jaakko Hollmén

Proceedings of the Advances in Intelligent Data Analysis X - 10th International Symposium, 2011

Collaborative Filtering for Coordinated Monitoring in Sensor Networks.

Janne Toivola, Jaakko Hollmén

Proceedings of the Data Mining Workshops (ICDMW), 2011

Structural Health Monitoring in Wireless Sensor Networks by the Embedded Goertzel Algorithm.

Maurizio Bocca, Janne Toivola, Lasse M. Eriksson, Jaakko Hollmén, Heikki N. Koivo

Proceedings of the 2011 IEEE/ACM International Conference on Cyber-Physical Systems, 2011

Forecasting Road Condition after Maintenance Works by Linear Methods and Radial Basis Function Networks.

Konsta Sirvio, Jaakko Hollmén

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

2010

Automatic detection of onset and cessation of tree stem radius increase using dendrometer data.

Mikko Korpela, Harri Mäkinen, Pekka Nöjd, Jaakko Hollmén, Mika Sulkava

Neurocomputing, 2010

Preservation of Statistically Significant Patterns in Multiresolution 0-1 Data.

Prem Raj Adhikari, Jaakko Hollmén

Proceedings of the Pattern Recognition in Bioinformatics, 2010

Benchmarking dynamic time warping for music retrieval.

Jefrey Lijffijt, Panagiotis Papapetrou, Jaakko Hollmén, Vassilis Athitsos

Proceedings of the 3rd International Conference on Pervasive Technologies Related to Assistive Environments, 2010

Tracking your steps on the track: body sensor recordings of a controlled walking experiment.

Jefrey Lijffijt, Panagiotis Papapetrou, Jaakko Hollmén

Proceedings of the 3rd International Conference on Pervasive Technologies Related to Assistive Environments, 2010

Multi-year network level road maintenance programming by genetic algorithms and variable neighbourhood search.

Konsta Sirvio, Jaakko Hollmén

Proceedings of the 13th International IEEE Conference on Intelligent Transportation Systems, 2010

Novelty Detection in Projected Spaces for Structural Health Monitoring.

Janne Toivola, Miguel A. Prada, Jaakko Hollmén

Proceedings of the Advances in Intelligent Data Analysis IX, 9th International Symposium, 2010

2009

Feature Extraction and Selection from Vibration Measurements for Structural Health Monitoring.

Janne Toivola, Jaakko Hollmén

Proceedings of the Advances in Intelligent Data Analysis VIII, 2009

2008

Sequential input selection algorithm for long-term prediction of time series.

Jarkko Tikka, Jaakko Hollmén

Neurocomputing, 2008

Spatio-temporal Road Condition Forecasting with Markov Chains and Artificial Neural Networks.

Konsta Sirvio, Jaakko Hollmén

Proceedings of the Hybrid Artificial Intelligence Systems, Third International Workshop, 2008

Selection of important input variables for RBF network using partial derivatives.

Jarkko Tikka, Jaakko Hollmén

Proceedings of the 16th European Symposium on Artificial Neural Networks, 2008

Smoothed Prediction of the Onset of Tree Stem Radius Increase Based on Temperature Patterns.

Mikko Korpela, Harri Mäkinen, Mika Sulkava, Pekka Nöjd, Jaakko Hollmén

Proceedings of the Discovery Science, 11th International Conference, 2008

2007

Modeling the effects of varying data quality on trend detection in environmental monitoring.

Mika Sulkava, Sebastiaan Luyssaert, Pasi Rautio, Ivan A. Janssens, Jaakko Hollmén

Ecol. Informatics, 2007

Mixture Modeling of DNA Copy Number Amplification Patterns in Cancer.

Jarkko Tikka, Jaakko Hollmén, Samuel Myllykangas

Proceedings of the Computational and Ambient Intelligence, 2007

Compact and Understandable Descriptions of Mixtures of Bernoulli Distributions.

Jaakko Hollmén, Jarkko Tikka

Proceedings of the Advances in Intelligent Data Analysis VII, 2007

Segmenting Multi-attribute Sequences Using Dynamic Bayesian Networks.

Robert Gwadera, Janne Toivola, Jaakko Hollmén

Proceedings of the Workshops Proceedings of the 7th IEEE International Conference on Data Mining (ICDM 2007), 2007

Model Selection and Estimation Via Subjective User Preferences.

Jaakko Hollmén

Proceedings of the Discovery Science, 10th International Conference, 2007

2006

Analysis of Fast Input Selection: Application in Time Series Prediction.

Jarkko Tikka, Amaury Lendasse, Jaakko Hollmén

Proceedings of the Artificial Neural Networks, 2006

Analysis of Linux Evolution Using Aligned Source Code Segments.

Antti Rasinen, Jaakko Hollmén, Heikki Mannila

Proceedings of the Discovery Science, 9th International Conference, 2006

2005

Input Selection for Long-Term Prediction of Time Series.

Jarkko Tikka, Jaakko Hollmén, Amaury Lendasse

Proceedings of the Computational Intelligence and Bioinspired Systems, 2005

Data integration and visualization system for enabling conceptual biology.

Peddinti V. Gopalacharyulu, Erno Lindfors, Catherine Bounsaythip, Teemu Kivioja, Laxman Yetukuri, Jaakko Hollmén, Matej Oresic

Proceedings of the Proceedings Thirteenth International Conference on Intelligent Systems for Molecular Biology 2005, 2005

Combining Measurement Quality into Monitoring Trends in Foliar Nutrient Concentrations.

Mika Sulkava, Pasi Rautio, Jaakko Hollmén

Proceedings of the Artificial Neural Networks: Formal Models and Their Applications, 2005

2004

Model-Independent Bounding of the Supports of Boolean Formulae in Binary Data.

Artur Bykowski, Jouni K. Seppänen, Jaakko Hollmén

Proceedings of the Database Support for Data Mining Applications: Discovering Knowledge with Inductive Queries, 2004

2003

Mixture Models and Frequent Sets: Combining Global and Local Methods for 0-1 Data.

Jaakko Hollmén, Jouni K. Seppänen, Heikki Mannila

Proceedings of the Third SIAM International Conference on Data Mining, 2003

2002

Model-independent Bounding of the Supports of Boolean Formulae in Binary Data.

Artur Bykowski, Jouni K. Seppänen, Jaakko Hollmén

Proceedings of the First International Workshop on Inductive Databases, 2002

Image Analysis for Detecting Faulty Spots from Microarray Images.

Salla Ruosaari, Jaakko Hollmén

Proceedings of the Discovery Science, 5th International Conference, 2002

2001

An Automated Report Generation Tool for the Data Understanding Phase.

Juha Vesanto, Jaakko Hollmén

Proceedings of the Hybrid Information Systems, 2001

2000

User profiling and classification for fraud detection in mobile communications networks.

Jaakko Hollmén

PhD thesis, 2000

Quantization of Continuous Input Variables for Binary Classification.

Michal Skubacz, Jaakko Hollmén

Proceedings of the Intelligent Data Engineering and Automated Learning, 2000

A learning vector quantization algorithm for probabilistic models.

Jaakko Hollmén, Volker Tresp, Olli Simula

Proceedings of the 10th European Signal Processing Conference, 2000

A hidden Markov model for metric and event-based data.

Jaakko Hollmén, Volker Tresp

Proceedings of the 10th European Signal Processing Conference, 2000

1999

Process Monitoring and Modeling Using the Self-Organizing Map.

Esa Alhoniemi, Jaakko Hollmén, Olli Simula, Juha Vesanto

Integr. Comput. Aided Eng., 1999

1998

Call-Based Fraud Detection in Mobile Communication Networks Using a Hierarchical Regime-Switching Model.

Jaakko Hollmén, Volker Tresp

Proceedings of the Advances in Neural Information Processing Systems 11, [NIPS Conference, Denver, Colorado, USA, November 30, 1998

Fraud detection in communication networks using neural and probabilistic methods.

Michiaki Taniguchi, Michael Haft, Jaakko Hollmén, Volker Tresp

Proceedings of the 1998 IEEE International Conference on Acoustics, 1998

1997

Analysis of Complex Systems Using the Self-Organizing Map.

Olli Simula, Esa Alhoniemi, Jaakko Hollmén, Juha Vesanto

Proceedings of the Progress in Connectionist-Based Information Systems: Proceedings of the 1997 International Conference on Neural Information Processing and Intelligent Information Systems, 1997