Jaakko Hollmén

ORCID

Publication Activity (10 Years)

Years Active: 1997-2023
Publications (10 Years): 32

Top Venues

CBMS

CoRR

Discovery Science

Aalto University, Espoo, Helsinki, Finland (PHD)

Education History

Aalto University, Espoo, Helsinki, Finland

PHD

Publications

Maria Movin, Guilherme Dinis Junior, Jaakko Hollmén, Panagiotis Papapetrou
Explaining Black Box Reinforcement Learning Agents Through Counterfactual Policies. IDA (2023)
Mahbub Ul Alam, Jaakko Hollmén, Rahim Rahmani
COVID-19 detection from thermal image and tabular medical data utilizing multi-modal machine learning. CBMS (2023)
Mahbub Ul Alam, Jaakko Hollmén, Jón Rúnar Baldvinsson, Rahim Rahmani
SHAMSUL: Simultaneous Heatmap-Analysis to investigate Medical Significance Utilizing Local interpretability methods. CoRR (2023)
Serio Agriesti, Vladimir Kuzmanovski, Jaakko Hollmén, Claudio Roncoli, Bat-hen Nahmias-Biran
A Bayesian Optimization approach for calibrating large-scale activity-based transport models. CoRR (2023)
Lena Mondrejevski, Ioanna Miliou, Annaclaudia Montanino, David Pitts, Jaakko Hollmén, Panagiotis Papapetrou
FLICU: A Federated Learning Workflow for Intensive Care Unit Mortality Prediction. CoRR (2022)
Guilherme Dinis Junior, Sindri Magnússon, Jaakko Hollmén
Policy Evaluation with Delayed, Aggregated Anonymous Feedback. DS (2022)
Vladimir Kuzmanovski, Jaakko Hollmén
Semi-parametric Approach to Random Forests for High-Dimensional Bayesian Optimisation. DS (2022)
Lena Mondrejevski, Ioanna Miliou, Annaclaudia Montanino, David Pitts, Jaakko Hollmén, Panagiotis Papapetrou
FLICU: A Federated Learning Workflow for Intensive Care Unit Mortality Prediction. CBMS (2022)
Miki Sirola, Olli-Pekka Rinta-Koski, Le Ngu Nguyen, Jaakko Hollmén
Principal Component Analysis Visualizations in State Discovery by Animating Exploration Results. SMARTCOMP (2022)
Luis Quintero, Panagiotis Papapetrou, Jaakko Hollmén, Uno Fors
Effective Classification of Head Motion Trajectories in Virtual Reality Using Time-Series Methods. AIVR (2021)
Olli-Pekka Rinta-Koski, Miki Sirola, Le Ngu Nguyen, Jaakko Hollmén
State Discovery and Prediction from Multivariate Sensor Data. AALTD@ECML/PKDD (2021)
Vladimir Kuzmanovski, Jaakko Hollmén
Composite Surrogate for Likelihood-Free Bayesian Optimisation in High-Dimensional Settings of Activity-Based Transportation Models. IDA (2021)
Maria Bampa, Panagiotis Papapetrou, Jaakko Hollmén
A Clustering Framework for Patient Phenotyping with Application to Adverse Drug Events. CBMS (2020)
Emma Briggs, Jaakko Hollmén
Mitigating Discrimination in Clinical Machine Learning Decision Support Using Algorithmic Processing Techniques. DS (2020)
Joel Jaskari, Janne Myllärinen, Markus Leskinen, Ali Bahrami Rad, Jaakko Hollmén, Sture Andersson, Simo Särkkä
Machine Learning Methods for Neonatal Mortality and Morbidity Classification. IEEE Access 8 (2020)
Vladimir Kuzmanovski, Mika Sulkava, Taru Palosuo, Jaakko Hollmén
Temporal Analysis of Adverse Weather Conditions Affecting Wheat Production in Finland. DS (2019)
Jaakko Hollmén, Panagiotis Papapetrou
Clustering Diagnostic Profiles of Patients. AIAI (2019)
Olli-Pekka Rinta-Koski, Simo Särkkä, Jaakko Hollmén, Markus Leskinen, Sture Andersson
Gaussian process classification for prediction of in-hospital mortality among preterm infants. Neurocomputing 298 (2018)
Teemu Lehto, Markku Hinkka, Jaakko Hollmén
Analyzing Business Process Changes Using Influence Analysis. SIMPDA (2018)
Roelant A. Stegmann, Indre Zliobaite, Tuukka Tolvanen, Jaakko Hollmén, Jesse Read
A survey of evaluation methods for personal route and destination prediction from mobility traces. WIREs Data Mining Knowl. Discov. 8 (2) (2018)
Jaakko Hollmén, Lars Asker, Isak Karlsson, Panagiotis Papapetrou, Henrik Boström, Birgitta Norstedt Wikner, Inger Öhman
Exploring epistaxis as an adverse effect of anti-thrombotic drugs and outdoor temperature. PETRA (2018)
Olli-Pekka Rinta-Koski, Simo Särkkä, Jaakko Hollmén, Markus Leskinen, Sture Andersson
Prediction of preterm infant mortality with Gaussian process classification. ESANN (2017)
Alexandr V. Maslov, Mykola Pechenizkiy, Yulong Pei, Indre Zliobaite, Alexander Shklyaev, Tommi Kärkkäinen, Jaakko Hollmén
BLPA: Bayesian learn-predict-adjust method for online detection of recurrent changepoints. IJCNN (2017)
Jesse Read, Luca Martino, Jaakko Hollmén
Multi-label methods for prediction with sequential data. Pattern Recognit. 63 (2017)
Teemu Lehto, Markku Hinkka, Jaakko Hollmén
Focusing Business Process Lead Time Improvements Using Influence Analysis. SIMPDA (2017)
Mikko Rinne, Mehrdad Bagheri, Tuukka Tolvanen, Jaakko Hollmén
Automatic Recognition of Public Transport Trips from Mobile Device Sensor Data and Transport Infrastructure Information. PAP@PKDD/ECML (2017)
Jukka Teittinen, Markus Hiienkari, Indre Zliobaite, Jaakko Hollmén, Heikki Berg, Juha Heiskala, Timo Viitanen, Jesse Simonsson, Lauri Koskinen
A 5.3 pJ/op approximate TTA VLIW tailored for machine learning. Microelectron. J. 61 (2017)
Daniel Vieira, Jaakko Hollmén
Resource Frequency Prediction in Healthcare: Machine Learning Approach. CBMS (2016)
Jesse Read, Indre Zliobaite, Jaakko Hollmén
Labeling sensing data for mobility modeling. Inf. Syst. 57 (2016)
Jesse Read, Luca Martino, Jaakko Hollmén
Multi-label Methods for Prediction with Sequential Data. CoRR (2016)
Teemu Lehto, Markku Hinkka, Jaakko Hollmén
Focusing Business Improvements Using Process Mining Based Influence Analysis. BPM (Forum) (2016)
Prem Raj Adhikari, Anze Vavpetic, Jan Kralj, Nada Lavrac, Jaakko Hollmén
Explaining mixture models through semantic pattern mining and banded matrix visualization. Mach. Learn. 105 (1) (2016)
Prem Raj Adhikari, Jaakko Hollmén
Fast progressive training of mixture models for model selection. J. Intell. Inf. Syst. 44 (2) (2015)
Jesse Read, Jaakko Hollmén
Multi-label Classification using Labels as Hidden Nodes. CoRR (2015)
Indre Zliobaite, Jaakko Hollmén
Optimizing regression models for data streams with missing values. Mach. Learn. 99 (1) (2015)
Prem Raj Adhikari, Jaakko Hollmén
Resolution Transfer in Cancer Classification Based on Amplification Patterns. Discovery Science (2015)
Olli-Pekka Rinta-Koski, Jaakko Hollmén, Markus Leskinen, Sture Andersson
Variation in oxygen saturation measurements in very low birth weight infants. PETRA (2015)
Indre Zliobaite, Jaakko Hollmén, Lauri Koskinen, Jukka Teittinen
Towards Hardware-driven Design of Low-energy Algorithms for Data Analysis. SIGMOD Rec. 43 (4) (2014)
Prem Raj Adhikari, Anze Vavpetic, Jan Kralj, Nada Lavrac, Jaakko Hollmén
Explaining Mixture Models through Semantic Pattern Mining and Banded Matrix Visualization. Discovery Science (2014)
Konsta Sirvio, Jaakko Hollmén
Multi-Step Ahead Forecasting of Road Condition Using Least Squares Support Vector Regression. ESANN (2014)
Jesse Read, Jaakko Hollmén
A Deep Interpretation of Classifier Chains. IDA (2014)
Indre Zliobaite, Jaakko Hollmén
Mobile Sensing Data for Urban Mobility Analysis: A Case Study in Preprocessing. EDBT/ICDT Workshops (2014)
Panos Sakkos, Dimitrios Kotsakos, Vana Kalogeraki, Dimitrios Gunopulos, Jaakko Hollmén
Defining a mobile architecture for structural health monitoring. PETRA (2014)
Daniel Vieira, Jari Linden, Jaakko Hollmén, Jorma Suni
Challenges in predicting community periodontal index from hospital dental care records. CBMS (2013)
Indre Zliobaite, Jaakko Hollmén
Fault Tolerant Regression for Sensor Data. ECML/PKDD (1) (2013)
Prem Raj Adhikari, Jaakko Hollmén
Mixture Models from Multiresolution 0-1 Data. Discovery Science (2013)
Jaakko Hollmén
Mixture modeling of gait patterns from sensor data. PETRA (2012)
Alexios Kotsifakos, Panagiotis Papapetrou, Jaakko Hollmén, Dimitrios Gunopulos, Vassilis Athitsos
A survey of query-by-humming similarity methods. PETRA (2012)
Prem Raj Adhikari, Jaakko Hollmén
Fast Progressive Training of Mixture Models for Model Selection. Discovery Science (2012)
Panagiotis Papapetrou, Tatiana Chistiakova, Jaakko Hollmén, Vana Kalogeraki, Dimitrios Gunopulos
Finding representative objects using link analysis ranking. PETRA (2012)
Prem Raj Adhikari, Jaakko Hollmén
Multiresolution Mixture Modeling using Merging of Mixture Components. ACML (2012)
Miguel A. Prada, Janne Toivola, Jyrki Kullaa, Jaakko Hollmén
Three-way analysis of structural health monitoring data. Neurocomputing 80 (2012)
Alexios Kotsifakos, Panagiotis Papapetrou, Jaakko Hollmén, Dimitrios Gunopulos, Vassilis Athitsos, George Kollios
Hum-a-song: A Subsequence Matching with Gaps-Range-Tolerances Query-By-Humming System. Proc. VLDB Endow. 5 (12) (2012)
Orestis Kostakis, Panagiotis Papapetrou, Jaakko Hollmén
ARTEMIS: Assessing the Similarity of Event-Interval Sequences. ECML/PKDD (2) (2011)
Alexios Kotsifakos, Vassilis Athitsos, Panagiotis Papapetrou, Jaakko Hollmén, Dimitrios Gunopulos
Model-based search in large time series databases. PETRA (2011)
Maurizio Bocca, Janne Toivola, Lasse M. Eriksson, Jaakko Hollmén, Heikki N. Koivo
Structural Health Monitoring in Wireless Sensor Networks by the Embedded Goertzel Algorithm. ICCPS (2011)
Serafín Alonso, Mika Sulkava, Miguel A. Prada, Manuel Domínguez-González, Jaakko Hollmén
EnvSOM: A SOM Algorithm Conditioned on the Environment for Clustering and Visualization. WSOM (2011)
Orestis Kostakis, Panagiotis Papapetrou, Jaakko Hollmén
Distance measure for querying sequences of temporal intervals. PETRA (2011)
Prem Raj Adhikari, Bimal Babu Upadhyaya, Chen Meng, Jaakko Hollmén
Gene Selection in Time-Series Gene Expression Data. PRIB (2011)
Konsta Sirvio, Jaakko Hollmén
Forecasting Road Condition after Maintenance Works by Linear Methods and Radial Basis Function Networks. ICANN (2) (2011)
Serafín Alonso, Manuel Domínguez-González, Miguel A. Prada, Mika Sulkava, Jaakko Hollmén
Comparative Analysis of Power Consumption in University Buildings Using envSOM. IDA (2011)
Janne Toivola, Jaakko Hollmén
Collaborative Filtering for Coordinated Monitoring in Sensor Networks. ICDM Workshops (2011)
Alexios Kotsifakos, Panagiotis Papapetrou, Jaakko Hollmén, Dimitrios Gunopulos
A Subsequence Matching with Gaps-Range-Tolerances Framework: A Query-By-Humming Application. Proc. VLDB Endow. 4 (11) (2011)
Mark J. Brewer, Mika Sulkava, Harri Mäkinen, Mikko Korpela, Pekka Nöjd, Jaakko Hollmén
Logistic Fitting Method for Detecting Onset and Cessation of Tree Stem Radius Increase. IDEAL (2011)
Mikko Korpela, Harri Mäkinen, Pekka Nöjd, Jaakko Hollmén, Mika Sulkava
Automatic detection of onset and cessation of tree stem radius increase using dendrometer data. Neurocomputing 73 (10-12) (2010)
Konsta Sirvio, Jaakko Hollmén
Multi-year network level road maintenance programming by genetic algorithms and variable neighbourhood search. ITSC (2010)
Prem Raj Adhikari, Jaakko Hollmén
Preservation of Statistically Significant Patterns in Multiresolution 0-1 Data. PRIB (2010)
Janne Toivola, Miguel A. Prada, Jaakko Hollmén
Novelty Detection in Projected Spaces for Structural Health Monitoring. IDA (2010)
Jefrey Lijffijt, Panagiotis Papapetrou, Jaakko Hollmén, Vassilis Athitsos
Benchmarking dynamic time warping for music retrieval. PETRA (2010)
Jefrey Lijffijt, Panagiotis Papapetrou, Jaakko Hollmén
Tracking your steps on the track: body sensor recordings of a controlled walking experiment. PETRA (2010)
Janne Toivola, Jaakko Hollmén
Feature Extraction and Selection from Vibration Measurements for Structural Health Monitoring. IDA (2009)
Konsta Sirvio, Jaakko Hollmén
Spatio-temporal Road Condition Forecasting with Markov Chains and Artificial Neural Networks. HAIS (2008)
Jarkko Tikka, Jaakko Hollmén
Sequential input selection algorithm for long-term prediction of time series. Neurocomputing 71 (13-15) (2008)
Mikko Korpela, Harri Mäkinen, Mika Sulkava, Pekka Nöjd, Jaakko Hollmén
Smoothed Prediction of the Onset of Tree Stem Radius Increase Based on Temperature Patterns. Discovery Science (2008)
Jarkko Tikka, Jaakko Hollmén
Selection of important input variables for RBF network using partial derivatives. ESANN (2008)
Jaakko Hollmén, Jarkko Tikka
Compact and Understandable Descriptions of Mixtures of Bernoulli Distributions. IDA (2007)
Robert Gwadera, Janne Toivola, Jaakko Hollmén
Segmenting Multi-attribute Sequences Using Dynamic Bayesian Networks. ICDM Workshops (2007)
Mika Sulkava, Sebastiaan Luyssaert, Pasi Rautio, Ivan A. Janssens, Jaakko Hollmén
Modeling the effects of varying data quality on trend detection in environmental monitoring. Ecol. Informatics 2 (2) (2007)
Jaakko Hollmén
Model Selection and Estimation Via Subjective User Preferences. Discovery Science (2007)
Jarkko Tikka, Jaakko Hollmén, Samuel Myllykangas
Mixture Modeling of DNA Copy Number Amplification Patterns in Cancer. IWANN (2007)
Antti Rasinen, Jaakko Hollmén, Heikki Mannila
Analysis of Linux Evolution Using Aligned Source Code Segments. Discovery Science (2006)
Jarkko Tikka, Amaury Lendasse, Jaakko Hollmén
Analysis of Fast Input Selection: Application in Time Series Prediction. ICANN (2) (2006)
Peddinti V. Gopalacharyulu, Erno Lindfors, Catherine Bounsaythip, Teemu Kivioja, Laxman Yetukuri, Jaakko Hollmén, Matej Oresic
Data integration and visualization system for enabling conceptual biology. ISMB (Supplement of Bioinformatics) (2005)
Jarkko Tikka, Jaakko Hollmén, Amaury Lendasse
Input Selection for Long-Term Prediction of Time Series. IWANN (2005)
Mika Sulkava, Pasi Rautio, Jaakko Hollmén
Combining Measurement Quality into Monitoring Trends in Foliar Nutrient Concentrations. ICANN (2) (2005)
Jaakko Hollmén, Jouni K. Seppänen, Heikki Mannila
Mixture Models and Frequent Sets: Combining Global and Local Methods for 0-1 Data. SDM (2003)
Artur Bykowski, Jouni K. Seppänen, Jaakko Hollmén
Model-independent Bounding of the Supports of Boolean Formulae in Binary Data. KDID (2002)
Salla Ruosaari, Jaakko Hollmén
Image Analysis for Detecting Faulty Spots from Microarray Images. Discovery Science (2002)
Juha Vesanto, Jaakko Hollmén
An Automated Report Generation Tool for the Data Understanding Phase. HIS (2001)
Jaakko Hollmén, Volker Tresp
A hidden Markov model for metric and event-based data. EUSIPCO (2000)
Michal Skubacz, Jaakko Hollmén
Quantization of Continuous Input Variables for Binary Classification. IDEAL (2000)
Jaakko Hollmén, Volker Tresp, Olli Simula
A learning vector quantization algorithm for probabilistic models. EUSIPCO (2000)
Esa Alhoniemi, Jaakko Hollmén, Olli Simula, Juha Vesanto
Process Monitoring and Modeling Using the Self-Organizing Map. Integr. Comput. Aided Eng. 6 (1) (1999)
Michiaki Taniguchi, Michael Haft, Jaakko Hollmén, Volker Tresp
Fraud detection in communication networks using neural and probabilistic methods. ICASSP (1998)
Jaakko Hollmén, Volker Tresp
Call-Based Fraud Detection in Mobile Communication Networks Using a Hierarchical Regime-Switching Model. NIPS (1998)
Olli Simula, Esa Alhoniemi, Jaakko Hollmén, Juha Vesanto
Analysis of Complex Systems Using the Self-Organizing Map. ICONIP (2) (1997)

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Publication Activity (10 Years)

Top Topics

Top Venues

Jaakko Hollmén