Jaakko Hollmén

105 papers A 1B 33C 4Misc 5Journal 22Unranked 36

Year	Rank	Type	Title / Venue / Authors
2024	—	`conf`	Policy Control with Delayed, Aggregate, and Anonymous Feedback. ECML/PKDD (6) Guilherme Dinis Junior, Sindri Magnússon, Jaakko Hollmén
2023	J	`jnl`	A Bayesian Optimization approach for calibrating large-scale activity-based transport models. CoRR Serio Agriesti, Vladimir Kuzmanovski, Jaakko Hollmén, Claudio Roncoli, Bat-hen Nahmias-Biran
2023	B	`conf`	COVID-19 detection from thermal image and tabular medical data utilizing multi-modal machine learning. CBMS Mahbub Ul Alam, Jaakko Hollmén, Rahim Rahmani
2023	B	`conf`	Explaining Black Box Reinforcement Learning Agents Through Counterfactual Policies. IDA Maria Movin, Guilherme Dinis Junior, Jaakko Hollmén, Panagiotis Papapetrou
2023	J	`jnl`	SHAMSUL: Simultaneous Heatmap-Analysis to investigate Medical Significance Utilizing Local interpretability methods. CoRR Mahbub Ul Alam, Jaakko Hollmén, Jón Rúnar Baldvinsson, Rahim Rahmani
2022	B	`conf`	FLICU: A Federated Learning Workflow for Intensive Care Unit Mortality Prediction. CBMS Lena Mondrejevski, Ioanna Miliou, Annaclaudia Montanino, David Pitts, Jaakko Hollmén, Panagiotis Papapetrou
2022	J	`jnl`	FLICU: A Federated Learning Workflow for Intensive Care Unit Mortality Prediction. CoRR Lena Mondrejevski, Ioanna Miliou, Annaclaudia Montanino, David Pitts, Jaakko Hollmén, Panagiotis Papapetrou
2022	B	`conf`	Policy Evaluation with Delayed, Aggregated Anonymous Feedback. DS Guilherme Dinis Junior, Sindri Magnússon, Jaakko Hollmén
2022	B	`conf`	Principal Component Analysis Visualizations in State Discovery by Animating Exploration Results. SMARTCOMP Miki Sirola, Olli-Pekka Rinta-Koski, Le Ngu Nguyen, Jaakko Hollmén
2022	B	`conf`	Semi-parametric Approach to Random Forests for High-Dimensional Bayesian Optimisation. DS Vladimir Kuzmanovski, Jaakko Hollmén
2021	B	`conf`	Composite Surrogate for Likelihood-Free Bayesian Optimisation in High-Dimensional Settings of Activity-Based Transportation Models. IDA Vladimir Kuzmanovski, Jaakko Hollmén
2021	—	`conf`	Effective Classification of Head Motion Trajectories in Virtual Reality Using Time-Series Methods. AIVR Luis Quintero, Panagiotis Papapetrou, Jaakko Hollmén, Uno Fors
2021	—	`conf`	State Discovery and Prediction from Multivariate Sensor Data. AALTD@ECML/PKDD Olli-Pekka Rinta-Koski, Miki Sirola, Le Ngu Nguyen, Jaakko Hollmén
2020	B	`conf`	A Clustering Framework for Patient Phenotyping with Application to Adverse Drug Events. CBMS Maria Bampa, Panagiotis Papapetrou, Jaakko Hollmén
2020	J	`jnl`	Machine Learning Methods for Neonatal Mortality and Morbidity Classification. IEEE Access Joel Jaskari, Janne Myllärinen, Markus Leskinen, Ali Bahrami Rad, Jaakko Hollmén, Sture Andersson, Simo Särkkä
2020	B	`conf`	Mitigating Discrimination in Clinical Machine Learning Decision Support Using Algorithmic Processing Techniques. DS Emma Briggs, Jaakko Hollmén
2019	Misc	`conf`	Clustering Diagnostic Profiles of Patients. AIAI Jaakko Hollmén, Panagiotis Papapetrou
2019	B	`conf`	Temporal Analysis of Adverse Weather Conditions Affecting Wheat Production in Finland. DS Vladimir Kuzmanovski, Mika Sulkava, Taru Palosuo, Jaakko Hollmén
2018	B	`ed.`	31st IEEE International Symposium on Computer-Based Medical Systems, CBMS 2018, Karlstad, Sweden, June 18-21, 2018 CBMS Jaakko Hollmén, Carolyn McGregor, Paolo Soda, Bridget Kane
2018	J	`jnl`	A survey of evaluation methods for personal route and destination prediction from mobility traces. WIREs Data Mining Knowl. Discov. Roelant A. Stegmann, Indre Zliobaite, Tuukka Tolvanen, Jaakko Hollmén, Jesse Read
2018	—	`conf`	Analyzing Business Process Changes Using Influence Analysis. SIMPDA Teemu Lehto, Markku Hinkka, Jaakko Hollmén
2018	—	`conf`	Exploring epistaxis as an adverse effect of anti-thrombotic drugs and outdoor temperature. PETRA Jaakko Hollmén, Lars Asker, Isak Karlsson, Panagiotis Papapetrou, Henrik Boström, Birgitta Norstedt Wikner, Inger Öhman
2018	J	`jnl`	Gaussian process classification for prediction of in-hospital mortality among preterm infants. Neurocomputing Olli-Pekka Rinta-Koski, Simo Särkkä, Jaakko Hollmén, Markus Leskinen, Sture Andersson
2017	J	`jnl`	A 5.3 pJ/op approximate TTA VLIW tailored for machine learning. Microelectron. J. Jukka Teittinen, Markus Hiienkari, Indre Zliobaite, Jaakko Hollmén, Heikki Berg, Juha Heiskala, Timo Viitanen, Jesse Simonsson, Lauri Koskinen
2017	—	`conf`	Automatic Recognition of Public Transport Trips from Mobile Device Sensor Data and Transport Infrastructure Information. PAP@PKDD/ECML Mikko Rinne, Mehrdad Bagheri, Tuukka Tolvanen, Jaakko Hollmén
2017	B	`conf`	BLPA: Bayesian learn-predict-adjust method for online detection of recurrent changepoints. IJCNN Alexandr V. Maslov, Mykola Pechenizkiy, Yulong Pei, Indre Zliobaite, Alexander Shklyaev, Tommi Kärkkäinen, Jaakko Hollmén
2017	—	`conf`	Focusing Business Process Lead Time Improvements Using Influence Analysis. SIMPDA Teemu Lehto, Markku Hinkka, Jaakko Hollmén
2017	—	`ed.`	Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2017, Skopje, Macedonia, September 18-22, 2017, Proceedings, Part I ECML/PKDD (1) Michelangelo Ceci, Jaakko Hollmén, Ljupco Todorovski, Celine Vens, Saso Dzeroski
2017	—	`ed.`	Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2017, Skopje, Macedonia, September 18-22, 2017, Proceedings, Part II ECML/PKDD (2) Michelangelo Ceci, Jaakko Hollmén, Ljupco Todorovski, Celine Vens, Saso Dzeroski
2017	J	`jnl`	Multi-label methods for prediction with sequential data. Pattern Recognit. Jesse Read, Luca Martino, Jaakko Hollmén
2017	B	`conf`	Prediction of preterm infant mortality with Gaussian process classification. ESANN Olli-Pekka Rinta-Koski, Simo Särkkä, Jaakko Hollmén, Markus Leskinen, Sture Andersson
2016	J	`jnl`	Explaining mixture models through semantic pattern mining and banded matrix visualization. Mach. Learn. Prem Raj Adhikari, Anze Vavpetic, Jan Kralj, Nada Lavrac, Jaakko Hollmén
2016	—	`conf`	Focusing Business Improvements Using Process Mining Based Influence Analysis. BPM (Forum) Teemu Lehto, Markku Hinkka, Jaakko Hollmén
2016	J	`jnl`	Labeling sensing data for mobility modeling. Inf. Syst. Jesse Read, Indre Zliobaite, Jaakko Hollmén
2016	J	`jnl`	Multi-label Methods for Prediction with Sequential Data. CoRR Jesse Read, Luca Martino, Jaakko Hollmén
2016	B	`conf`	Resource Frequency Prediction in Healthcare: Machine Learning Approach. CBMS Daniel Vieira, Jaakko Hollmén
2015	J	`jnl`	Fast progressive training of mixture models for model selection. J. Intell. Inf. Syst. Prem Raj Adhikari, Jaakko Hollmén
2015	J	`jnl`	Multi-label Classification using Labels as Hidden Nodes. CoRR Jesse Read, Jaakko Hollmén
2015	J	`jnl`	Optimizing regression models for data streams with missing values. Mach. Learn. Indre Zliobaite, Jaakko Hollmén
2015	B	`conf`	Resolution Transfer in Cancer Classification Based on Amplification Patterns. Discovery Science Prem Raj Adhikari, Jaakko Hollmén
2015	—	`conf`	Variation in oxygen saturation measurements in very low birth weight infants. PETRA Olli-Pekka Rinta-Koski, Jaakko Hollmén, Markus Leskinen, Sture Andersson
2014	B	`conf`	A Deep Interpretation of Classifier Chains. IDA Jesse Read, Jaakko Hollmén
2014	—	`conf`	Defining a mobile architecture for structural health monitoring. PETRA Panos Sakkos, Dimitrios Kotsakos, Vana Kalogeraki, Dimitrios Gunopulos, Jaakko Hollmén
2014	B	`conf`	Explaining Mixture Models through Semantic Pattern Mining and Banded Matrix Visualization. Discovery Science Prem Raj Adhikari, Anze Vavpetic, Jan Kralj, Nada Lavrac, Jaakko Hollmén
2014	—	`conf`	Mobile Sensing Data for Urban Mobility Analysis: A Case Study in Preprocessing. EDBT/ICDT Workshops Indre Zliobaite, Jaakko Hollmén
2014	B	`conf`	Multi-Step Ahead Forecasting of Road Condition Using Least Squares Support Vector Regression. ESANN Konsta Sirvio, Jaakko Hollmén
2014	J	`jnl`	Towards Hardware-driven Design of Low-energy Algorithms for Data Analysis. SIGMOD Rec. Indre Zliobaite, Jaakko Hollmén, Lauri Koskinen, Jukka Teittinen
2013	B	`conf`	Challenges in predicting community periodontal index from hospital dental care records. CBMS Daniel Vieira, Jari Linden, Jaakko Hollmén, Jorma Suni
2013	—	`conf`	Fault Tolerant Regression for Sensor Data. ECML/PKDD (1) Indre Zliobaite, Jaakko Hollmén
2013	B	`conf`	Mixture Models from Multiresolution 0-1 Data. Discovery Science Prem Raj Adhikari, Jaakko Hollmén
2012	—	`conf`	A survey of query-by-humming similarity methods. PETRA Alexios Kotsifakos, Panagiotis Papapetrou, Jaakko Hollmén, Dimitrios Gunopulos, Vassilis Athitsos
2012	B	`ed.`	Advances in Intelligent Data Analysis XI - 11th International Symposium, IDA 2012, Helsinki, Finland, October 25-27, 2012. Proceedings IDA Jaakko Hollmén, Frank Klawonn, Allan Tucker
2012	B	`conf`	Fast Progressive Training of Mixture Models for Model Selection. Discovery Science Prem Raj Adhikari, Jaakko Hollmén
2012	—	`conf`	Finding representative objects using link analysis ranking. PETRA Panagiotis Papapetrou, Tatiana Chistiakova, Jaakko Hollmén, Vana Kalogeraki, Dimitrios Gunopulos
2012	J	`jnl`	Hum-a-song: A Subsequence Matching with Gaps-Range-Tolerances Query-By-Humming System. Proc. VLDB Endow. Alexios Kotsifakos, Panagiotis Papapetrou, Jaakko Hollmén, Dimitrios Gunopulos, Vassilis Athitsos, George Kollios
2012	—	`conf`	Mixture modeling of gait patterns from sensor data. PETRA Jaakko Hollmén
2012	C	`conf`	Multiresolution Mixture Modeling using Merging of Mixture Components. ACML Prem Raj Adhikari, Jaakko Hollmén
2012	J	`jnl`	Three-way analysis of structural health monitoring data. Neurocomputing Miguel A. Prada, Janne Toivola, Jyrki Kullaa, Jaakko Hollmén
2011	J	`jnl`	A Subsequence Matching with Gaps-Range-Tolerances Framework: A Query-By-Humming Application. Proc. VLDB Endow. Alexios Kotsifakos, Panagiotis Papapetrou, Jaakko Hollmén, Dimitrios Gunopulos
2011	—	`conf`	ARTEMIS: Assessing the Similarity of Event-Interval Sequences. ECML/PKDD (2) Orestis Kostakis, Panagiotis Papapetrou, Jaakko Hollmén
2011	B	`ed.`	Advances in Intelligent Data Analysis X - 10th International Symposium, IDA 2011, Porto, Portugal, October 29-31, 2011. Proceedings IDA João Gama, Elizabeth Bradley, Jaakko Hollmén
2011	—	`conf`	Collaborative Filtering for Coordinated Monitoring in Sensor Networks. ICDM Workshops Janne Toivola, Jaakko Hollmén
2011	B	`conf`	Comparative Analysis of Power Consumption in University Buildings Using envSOM. IDA Serafín Alonso, Manuel Domínguez-González, Miguel A. Prada, Mika Sulkava, Jaakko Hollmén
2011	B	`ed.`	Discovery Science - 14th International Conference, DS 2011, Espoo, Finland, October 5-7, 2011. Proceedings Discovery Science Tapio Elomaa, Jaakko Hollmén, Heikki Mannila
2011	—	`conf`	Distance measure for querying sequences of temporal intervals. PETRA Orestis Kostakis, Panagiotis Papapetrou, Jaakko Hollmén
2011	—	`conf`	EnvSOM: A SOM Algorithm Conditioned on the Environment for Clustering and Visualization. WSOM Serafín Alonso, Mika Sulkava, Miguel A. Prada, Manuel Domínguez-González, Jaakko Hollmén
2011	—	`conf`	Forecasting Road Condition after Maintenance Works by Linear Methods and Radial Basis Function Networks. ICANN (2) Konsta Sirvio, Jaakko Hollmén
2011	—	`conf`	Gene Selection in Time-Series Gene Expression Data. PRIB Prem Raj Adhikari, Bimal Babu Upadhyaya, Chen Meng, Jaakko Hollmén
2011	C	`conf`	Logistic Fitting Method for Detecting Onset and Cessation of Tree Stem Radius Increase. IDEAL Mark J. Brewer, Mika Sulkava, Harri Mäkinen, Mikko Korpela, Pekka Nöjd, Jaakko Hollmén
2011	—	`conf`	Model-based search in large time series databases. PETRA Alexios Kotsifakos, Vassilis Athitsos, Panagiotis Papapetrou, Jaakko Hollmén, Dimitrios Gunopulos
2011	—	`conf`	Structural Health Monitoring in Wireless Sensor Networks by the Embedded Goertzel Algorithm. ICCPS Maurizio Bocca, Janne Toivola, Lasse M. Eriksson, Jaakko Hollmén, Heikki N. Koivo
2010	J	`jnl`	Automatic detection of onset and cessation of tree stem radius increase using dendrometer data. Neurocomputing Mikko Korpela, Harri Mäkinen, Pekka Nöjd, Jaakko Hollmén, Mika Sulkava
2010	—	`conf`	Benchmarking dynamic time warping for music retrieval. PETRA Jefrey Lijffijt, Panagiotis Papapetrou, Jaakko Hollmén, Vassilis Athitsos
2010	—	`conf`	Multi-year network level road maintenance programming by genetic algorithms and variable neighbourhood search. ITSC Konsta Sirvio, Jaakko Hollmén
2010	B	`conf`	Novelty Detection in Projected Spaces for Structural Health Monitoring. IDA Janne Toivola, Miguel A. Prada, Jaakko Hollmén
2010	—	`conf`	Preservation of Statistically Significant Patterns in Multiresolution 0-1 Data. PRIB Prem Raj Adhikari, Jaakko Hollmén
2010	—	`conf`	Tracking your steps on the track: body sensor recordings of a controlled walking experiment. PETRA Jefrey Lijffijt, Panagiotis Papapetrou, Jaakko Hollmén
2009	B	`conf`	Feature Extraction and Selection from Vibration Measurements for Structural Health Monitoring. IDA Janne Toivola, Jaakko Hollmén
2008	B	`conf`	Selection of important input variables for RBF network using partial derivatives. ESANN Jarkko Tikka, Jaakko Hollmén
2008	J	`jnl`	Sequential input selection algorithm for long-term prediction of time series. Neurocomputing Jarkko Tikka, Jaakko Hollmén
2008	B	`conf`	Smoothed Prediction of the Onset of Tree Stem Radius Increase Based on Temperature Patterns. Discovery Science Mikko Korpela, Harri Mäkinen, Mika Sulkava, Pekka Nöjd, Jaakko Hollmén
2008	Misc	`conf`	Spatio-temporal Road Condition Forecasting with Markov Chains and Artificial Neural Networks. HAIS Konsta Sirvio, Jaakko Hollmén
2007	B	`conf`	Compact and Understandable Descriptions of Mixtures of Bernoulli Distributions. IDA Jaakko Hollmén, Jarkko Tikka
2007	Misc	`conf`	Mixture Modeling of DNA Copy Number Amplification Patterns in Cancer. IWANN Jarkko Tikka, Jaakko Hollmén, Samuel Myllykangas
2007	B	`conf`	Model Selection and Estimation Via Subjective User Preferences. Discovery Science Jaakko Hollmén
2007	J	`jnl`	Modeling the effects of varying data quality on trend detection in environmental monitoring. Ecol. Informatics Mika Sulkava, Sebastiaan Luyssaert, Pasi Rautio, Ivan A. Janssens, Jaakko Hollmén
2007	—	`conf`	Segmenting Multi-attribute Sequences Using Dynamic Bayesian Networks. ICDM Workshops Robert Gwadera, Janne Toivola, Jaakko Hollmén
2006	—	`conf`	Analysis of Fast Input Selection: Application in Time Series Prediction. ICANN (2) Jarkko Tikka, Amaury Lendasse, Jaakko Hollmén
2006	B	`conf`	Analysis of Linux Evolution Using Aligned Source Code Segments. Discovery Science Antti Rasinen, Jaakko Hollmén, Heikki Mannila
2005	—	`conf`	Combining Measurement Quality into Monitoring Trends in Foliar Nutrient Concentrations. ICANN (2) Mika Sulkava, Pasi Rautio, Jaakko Hollmén
2005	—	`conf`	Data integration and visualization system for enabling conceptual biology. ISMB (Supplement of Bioinformatics) Peddinti V. Gopalacharyulu, Erno Lindfors, Catherine Bounsaythip, Teemu Kivioja, Laxman Yetukuri, Jaakko Hollmén, Matej Oresic
2005	Misc	`conf`	Input Selection for Long-Term Prediction of Time Series. IWANN Jarkko Tikka, Jaakko Hollmén, Amaury Lendasse
2004	—	`ch.`	Model-Independent Bounding of the Supports of Boolean Formulae in Binary Data. Database Support for Data Mining Applications Artur Bykowski, Jouni K. Seppänen, Jaakko Hollmén
2003	A	`conf`	Mixture Models and Frequent Sets: Combining Global and Local Methods for 0-1 Data. SDM Jaakko Hollmén, Jouni K. Seppänen, Heikki Mannila
2002	B	`conf`	Image Analysis for Detecting Faulty Spots from Microarray Images. Discovery Science Salla Ruosaari, Jaakko Hollmén
2002	—	`conf`	Model-independent Bounding of the Supports of Boolean Formulae in Binary Data. KDID Artur Bykowski, Jouni K. Seppänen, Jaakko Hollmén
2001	C	`conf`	An Automated Report Generation Tool for the Data Understanding Phase. HIS Juha Vesanto, Jaakko Hollmén
2000	—	`conf`	A hidden Markov model for metric and event-based data. EUSIPCO Jaakko Hollmén, Volker Tresp
2000	—	`conf`	A learning vector quantization algorithm for probabilistic models. EUSIPCO Jaakko Hollmén, Volker Tresp, Olli Simula
2000	C	`conf`	Quantization of Continuous Input Variables for Binary Classification. IDEAL Michal Skubacz, Jaakko Hollmén
2000	—	`—`	User profiling and classification for fraud detection in mobile communications networks. Jaakko Hollmén
1999	J	`jnl`	Process Monitoring and Modeling Using the Self-Organizing Map. Integr. Comput. Aided Eng. Esa Alhoniemi, Jaakko Hollmén, Olli Simula, Juha Vesanto
1998	—	`conf`	Call-Based Fraud Detection in Mobile Communication Networks Using a Hierarchical Regime-Switching Model. NIPS Jaakko Hollmén, Volker Tresp
1998	Misc	`conf`	Fraud detection in communication networks using neural and probabilistic methods. ICASSP Michiaki Taniguchi, Michael Haft, Jaakko Hollmén, Volker Tresp
1997	—	`conf`	Analysis of Complex Systems Using the Self-Organizing Map. ICONIP (2) Olli Simula, Esa Alhoniemi, Jaakko Hollmén, Juha Vesanto