Analysis of Complex Systems Using the Self-Organizing Map. - Olli Simula; Esa Alhoniemi; Jaakko Hollmén; Juha Vesanto (ICONIP (2), 1997)

Fraud detection in communication networks using neural and probabilistic methods. - Michiaki Taniguchi; Michael Haft; Jaakko Hollmén; Volker Tresp (ICASSP, 1998)

Call-Based Fraud Detection in Mobile Communication Networks Using a Hierarchical Regime-Switching Model. - Jaakko Hollmén; Volker Tresp (NIPS, 1998)

Process Monitoring and Modeling Using the Self-Organizing Map. - Esa Alhoniemi; Jaakko Hollmén; Olli Simula; Juha Vesanto (Integr. Comput. Aided Eng., 1999)

A hidden Markov model for metric and event-based data. - Jaakko Hollmén; Volker Tresp (EUSIPCO, 2000)

A learning vector quantization algorithm for probabilistic models. - Jaakko Hollmén; Volker Tresp; Olli Simula (EUSIPCO, 2000)

Quantization of Continuous Input Variables for Binary Classification. - Michal Skubacz; Jaakko Hollmén (IDEAL, 2000)

User profiling and classification for fraud detection in mobile communications networks. - Jaakko Hollmén (2000)

An Automated Report Generation Tool for the Data Understanding Phase. - Juha Vesanto; Jaakko Hollmén (HIS, 2001)

Image Analysis for Detecting Faulty Spots from Microarray Images. - Salla Ruosaari; Jaakko Hollmén (Discovery Science, 2002)

Model-independent Bounding of the Supports of Boolean Formulae in Binary Data. - Artur Bykowski; Jouni K. Seppänen; Jaakko Hollmén (KDID, 2002)

Mixture Models and Frequent Sets: Combining Global and Local Methods for 0-1 Data. - Jaakko Hollmén; Jouni K. Seppänen; Heikki Mannila (SDM, 2003)

Model-Independent Bounding of the Supports of Boolean Formulae in Binary Data. - Artur Bykowski; Jouni K. Seppänen; Jaakko Hollmén (Database Support for Data Mining Applications, 2004)

Combining Measurement Quality into Monitoring Trends in Foliar Nutrient Concentrations. - Mika Sulkava; Pasi Rautio; Jaakko Hollmén (ICANN (2), 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 (ISMB (Supplement of Bioinformatics), 2005)

Input Selection for Long-Term Prediction of Time Series. - Jarkko Tikka; Jaakko Hollmén; Amaury Lendasse (IWANN, 2005)

Analysis of Linux Evolution Using Aligned Source Code Segments. - Antti Rasinen; Jaakko Hollmén; Heikki Mannila (Discovery Science, 2006)

Analysis of Fast Input Selection: Application in Time Series Prediction. - Jarkko Tikka; Amaury Lendasse; Jaakko Hollmén (ICANN (2), 2006)

Model Selection and Estimation Via Subjective User Preferences. - Jaakko Hollmén (Discovery Science, 2007)

Segmenting Multi-attribute Sequences Using Dynamic Bayesian Networks. - Robert Gwadera; Janne Toivola; Jaakko Hollmén (ICDM Workshops, 2007)

Compact and Understandable Descriptions of Mixtures of Bernoulli Distributions. - Jaakko Hollmén; Jarkko Tikka (IDA, 2007)

Mixture Modeling of DNA Copy Number Amplification Patterns in Cancer. - Jarkko Tikka; Jaakko Hollmén; Samuel Myllykangas (IWANN, 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)

Smoothed Prediction of the Onset of Tree Stem Radius Increase Based on Temperature Patterns. - Mikko Korpela; Harri Mäkinen; Mika Sulkava; Pekka Nöjd; Jaakko Hollmén (Discovery Science, 2008)

Selection of important input variables for RBF network using partial derivatives. - Jarkko Tikka; Jaakko Hollmén (ESANN, 2008)

Spatio-temporal Road Condition Forecasting with Markov Chains and Artificial Neural Networks. - Konsta Sirvio; Jaakko Hollmén (HAIS, 2008)

Sequential input selection algorithm for long-term prediction of time series. - Jarkko Tikka; Jaakko Hollmén (Neurocomputing, 2008)

Feature Extraction and Selection from Vibration Measurements for Structural Health Monitoring. - Janne Toivola; Jaakko Hollmén (IDA, 2009)

Novelty Detection in Projected Spaces for Structural Health Monitoring. - Janne Toivola; Miguel A. Prada; Jaakko Hollmén (IDA, 2010)

Multi-year network level road maintenance programming by genetic algorithms and variable neighbourhood search. - Konsta Sirvio; Jaakko Hollmén (ITSC, 2010)

Tracking your steps on the track: body sensor recordings of a controlled walking experiment. - Jefrey Lijffijt; Panagiotis Papapetrou; Jaakko Hollmén (PETRA, 2010)

Benchmarking dynamic time warping for music retrieval. - Jefrey Lijffijt; Panagiotis Papapetrou; Jaakko Hollmén; Vassilis Athitsos (PETRA, 2010)

Preservation of Statistically Significant Patterns in Multiresolution 0-1 Data. - Prem Raj Adhikari; Jaakko Hollmén (PRIB, 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)

Forecasting Road Condition after Maintenance Works by Linear Methods and Radial Basis Function Networks. - Konsta Sirvio; Jaakko Hollmén (ICANN (2), 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 (ICCPS, 2011)

Collaborative Filtering for Coordinated Monitoring in Sensor Networks. - Janne Toivola; Jaakko Hollmén (ICDM Workshops, 2011)

Comparative Analysis of Power Consumption in University Buildings Using envSOM. - Serafín Alonso; Manuel Domínguez-González; Miguel A. Prada; Mika Sulkava; Jaakko Hollmén (IDA, 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 (IDEAL, 2011)

Distance measure for querying sequences of temporal intervals. - Orestis Kostakis; Panagiotis Papapetrou; Jaakko Hollmén (PETRA, 2011)

Model-based search in large time series databases. - Alexios Kotsifakos; Vassilis Athitsos; Panagiotis Papapetrou; Jaakko Hollmén; Dimitrios Gunopulos (PETRA, 2011)

ARTEMIS: Assessing the Similarity of Event-Interval Sequences. - Orestis Kostakis; Panagiotis Papapetrou; Jaakko Hollmén (ECML/PKDD (2), 2011)

Gene Selection in Time-Series Gene Expression Data. - Prem Raj Adhikari; Bimal Babu Upadhyaya; Chen Meng; Jaakko Hollmén (PRIB, 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 (WSOM, 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)

Fast Progressive Training of Mixture Models for Model Selection. - Prem Raj Adhikari; Jaakko Hollmén (Discovery Science, 2012)

Mixture modeling of gait patterns from sensor data. - Jaakko Hollmén (PETRA, 2012)

A survey of query-by-humming similarity methods. - Alexios Kotsifakos; Panagiotis Papapetrou; Jaakko Hollmén; Dimitrios Gunopulos; Vassilis Athitsos (PETRA, 2012)

Finding representative objects using link analysis ranking. - Panagiotis Papapetrou; Tatiana Chistiakova; Jaakko Hollmén; Vana Kalogeraki; Dimitrios Gunopulos (PETRA, 2012)

Three-way analysis of structural health monitoring data. - Miguel A. Prada; Janne Toivola; Jyrki Kullaa; Jaakko Hollmén (Neurocomputing, 2012)

Multiresolution Mixture Modeling using Merging of Mixture Components. - Prem Raj Adhikari; Jaakko Hollmén (ACML, 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)

Challenges in predicting community periodontal index from hospital dental care records. - Daniel Vieira; Jari Linden; Jaakko Hollmén; Jorma Suni (CBMS, 2013)

Mixture Models from Multiresolution 0-1 Data. - Prem Raj Adhikari; Jaakko Hollmén (Discovery Science, 2013)

Fault Tolerant Regression for Sensor Data. - Indre Zliobaite; Jaakko Hollmén (ECML/PKDD (1), 2013)

Explaining Mixture Models through Semantic Pattern Mining and Banded Matrix Visualization. - Prem Raj Adhikari; Anze Vavpetic; Jan Kralj; Nada Lavrac; Jaakko Hollmén (Discovery Science, 2014)

Mobile Sensing Data for Urban Mobility Analysis: A Case Study in Preprocessing. - Indre Zliobaite; Jaakko Hollmén (EDBT/ICDT Workshops, 2014)

Multi-Step Ahead Forecasting of Road Condition Using Least Squares Support Vector Regression. - Konsta Sirvio; Jaakko Hollmén (ESANN, 2014)

A Deep Interpretation of Classifier Chains. - Jesse Read; Jaakko Hollmén (IDA, 2014)

Defining a mobile architecture for structural health monitoring. - Panos Sakkos; Dimitrios Kotsakos; Vana Kalogeraki; Dimitrios Gunopulos; Jaakko Hollmén (PETRA, 2014)

Towards Hardware-driven Design of Low-energy Algorithms for Data Analysis. - Indre Zliobaite; Jaakko Hollmén; Lauri Koskinen; Jukka Teittinen (SIGMOD Rec., 2014)

Resolution Transfer in Cancer Classification Based on Amplification Patterns. - Prem Raj Adhikari; Jaakko Hollmén (Discovery Science, 2015)

Variation in oxygen saturation measurements in very low birth weight infants. - Olli-Pekka Rinta-Koski; Jaakko Hollmén; Markus Leskinen; Sture Andersson (PETRA, 2015)

Multi-label Classification using Labels as Hidden Nodes. - Jesse Read; Jaakko Hollmén (CoRR, 2015)

Optimizing regression models for data streams with missing values. - Indre Zliobaite; Jaakko Hollmén (Mach. Learn., 2015)

Focusing Business Improvements Using Process Mining Based Influence Analysis. - Teemu Lehto; Markku Hinkka; Jaakko Hollmén (BPM (Forum), 2016)

Resource Frequency Prediction in Healthcare: Machine Learning Approach. - Daniel Vieira; Jaakko Hollmén (CBMS, 2016)

Labeling sensing data for mobility modeling. - Jesse Read; Indre Zliobaite; Jaakko Hollmén (Inf. Syst., 2016)

Prediction of preterm infant mortality with Gaussian process classification. - Olli-Pekka Rinta-Koski; Simo Särkkä; Jaakko Hollmén; Markus Leskinen; Sture Andersson (ESANN, 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 (IJCNN, 2017)

Automatic Recognition of Public Transport Trips from Mobile Device Sensor Data and Transport Infrastructure Information. - Mikko Rinne; Mehrdad Bagheri; Tuukka Tolvanen; Jaakko Hollmén (PAP@PKDD/ECML, 2017)

Focusing Business Process Lead Time Improvements Using Influence Analysis. - Teemu Lehto; Markku Hinkka; Jaakko Hollmén (SIMPDA, 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)

Multi-label methods for prediction with sequential data. - Jesse Read; Luca Martino; Jaakko Hollmén (Pattern Recognit., 2017)

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 (PETRA, 2018)

Analyzing Business Process Changes Using Influence Analysis. - Teemu Lehto; Markku Hinkka; Jaakko Hollmén (SIMPDA, 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)

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)

Temporal Analysis of Adverse Weather Conditions Affecting Wheat Production in Finland. - Vladimir Kuzmanovski; Mika Sulkava; Taru Palosuo; Jaakko Hollmén (DS, 2019)

Clustering Diagnostic Profiles of Patients. - Jaakko Hollmén; Panagiotis Papapetrou (AIAI, 2019)

A Clustering Framework for Patient Phenotyping with Application to Adverse Drug Events. - Maria Bampa; Panagiotis Papapetrou; Jaakko Hollmén (CBMS, 2020)

Mitigating Discrimination in Clinical Machine Learning Decision Support Using Algorithmic Processing Techniques. - Emma Briggs; Jaakko Hollmén (DS, 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)

State Discovery and Prediction from Multivariate Sensor Data. - Olli-Pekka Rinta-Koski; Miki Sirola; Le Ngu Nguyen; Jaakko Hollmén (AALTD@ECML/PKDD, 2021)

Effective Classification of Head Motion Trajectories in Virtual Reality Using Time-Series Methods. - Luis Quintero; Panagiotis Papapetrou; Jaakko Hollmén; Uno Fors (AIVR, 2021)

Composite Surrogate for Likelihood-Free Bayesian Optimisation in High-Dimensional Settings of Activity-Based Transportation Models. - Vladimir Kuzmanovski; Jaakko Hollmén (IDA, 2021)

FLICU: A Federated Learning Workflow for Intensive Care Unit Mortality Prediction. - Lena Mondrejevski; Ioanna Miliou; Annaclaudia Montanino; David Pitts; Jaakko Hollmén; Panagiotis Papapetrou (CBMS, 2022)

Policy Evaluation with Delayed, Aggregated Anonymous Feedback. - Guilherme Dinis Junior; Sindri Magnússon; Jaakko Hollmén (DS, 2022)

Semi-parametric Approach to Random Forests for High-Dimensional Bayesian Optimisation. - Vladimir Kuzmanovski; Jaakko Hollmén (DS, 2022)

Principal Component Analysis Visualizations in State Discovery by Animating Exploration Results. - Miki Sirola; Olli-Pekka Rinta-Koski; Le Ngu Nguyen; Jaakko Hollmén (SMARTCOMP, 2022)

COVID-19 detection from thermal image and tabular medical data utilizing multi-modal machine learning. - Mahbub Ul Alam 001; Jaakko Hollmén; Rahim Rahmani (CBMS, 2023)

Explaining Black Box Reinforcement Learning Agents Through Counterfactual Policies. - Maria Movin; Guilherme Dinis Junior; Jaakko Hollmén; Panagiotis Papapetrou (IDA, 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)

SHAMSUL: Simultaneous Heatmap-Analysis to investigate Medical Significance Utilizing Local interpretability methods. - Mahbub Ul Alam 001; Jaakko Hollmén; Jón Rúnar Baldvinsson; Rahim Rahmani (CoRR, 2023)

Policy Control with Delayed, Aggregate, and Anonymous Feedback. - Guilherme Dinis Junior; Sindri Magnússon; Jaakko Hollmén (ECML/PKDD (6), 2024)