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Mikko Kolehmainen

Mikko Kolehmainen

Professor

Professor of environmental informatics and modeling

Department of Environmental and Biological Sciences, Faculty of Science, Forestry and Technology

[email protected] | +358 44 290 2637

Information Publications

Projects

Aquatic model for lake Kallavesi enhancing environmental assessment of waters 01.05.2025 - 30.04.2027

Keywords

aquatic modeling artificial intelligence data mining data science energy systems environmental Informatics health modeling healthy living and energy efficiency machine learning

Publications

113/113 items

Linking hypolimnion to epilimnion in a stratified arctic lake: Machine learning-based estimation of hypolimnetic water quality from epilimnetic measurements
Mahdian, Mehran; Noori, Roohollah; Saravani, Mohammad Javad; Shahvaran, Ali Reza; Shahmohammad, Mohsen; Gaffney, Paul PJ; Salamattalab, Mohammad Milad; Anboohi, Milad Shamsi; Hosseinzadeh, Majid; Xia, Fan; Zhou, Yongqiang; Zhang, Yunlin; Kolehmainen, Mikko; Abolfathi, Soroush, 2026, Water research, 294, 125367. A1 Journal article (refereed), original research
Effect of pipe material and disinfectant on active bacterial communities in drinking water and biofilms
Siponen, Sallamaari; Ikonen, Jenni; Gomez-Alvarez, Vicente; Hokajärvi, Anna-Maria; Ruokolainen, Matti; Jayaprakash, Balamuralikrishna; Kolehmainen, Mikko; Miettinen, Ilkka T; Pitkänen, Tarja; Torvinen, Eila, 2025, Journal of applied microbiology, 136, 1, lxaf004. A1 Journal article (refereed), original research
A Novel Multi-Objective Hybrid Evolutionary-Based Approach for Tuning Machine Learning Models in Short-Term Power Consumption Forecasting
Vakhnin, Aleksei; Ryzhikov, Ivan; Niska, Harri; Kolehmainen, Mikko, 2024, AI, 5, 4, 2461-2496. A1 Journal article (refereed), original research
An open web-based GIS service for biomass data in Finland
Lehtonen, Eeva; Anttila, Perttu; Hakala, Kaija; Luostarinen, Sari; Lehtoranta, Suvi; Merilehto, Kirsi; Lehtinen, Harri; Mäntylä, Virpi; Maharjan, Anil; Niemeläinen, Oiva; Kolehmainen, Mikko, 2024, Environmental modelling and software, 176, 105972. A1 Journal article (refereed), original research
Weather-Based Prediction of Power Consumption in District Heating Network: Case Study in Finland
Vakhnin, Aleksei; Ryzhikov, Ivan; Brester, Christina; Niska, Harri; Kolehmainen, Mikko, 2024, Energies, 17, 12, 2840. A1 Journal article (refereed), original research
A physical-neural network approach for residential load forecasting with dynamic load control
Nakabi, T; Brester, C; Kolehmainen, M; Niska, H, 2023, 27th International Conference on Electricity Distribution (CIRED 2023), 1-5. A4 Conference proceedings
Associations of altered hepatic gene expression in American lifestyle-induced obesity syndrome diet-fed mice with metabolic changes during NAFLD development and progression
Iannone, V; Lok, J; Babu, AF; Gómez-Gallego, C; Willman, RM; Koistinen, VM; Klåvus, A; Kettunen, MI; Kårlund, A; Schwab, U; Hanhineva, K; Kolehmainen, M; Nezami, H El, 2023, Journal of nutritional biochemistry, 115, 109307. A1 Journal article (refereed), original research
Automated load control detection using power quality data and machine learning
Brester, C; Hildén, A; Kolehmainen, M; Pakonen, P; Niska, H, 2023, 27th International Conference on Electricity Distribution (CIRED 2023), 1-5. A4 Conference proceedings
Composition of active bacterial communities and presence of opportunistic pathogens in disinfected and non-disinfected drinking water distribution systems in Finland
Siponen, Sallamaari; Jayaprakash, Balamuralikrishna; Hokajärvi, Anna-Maria; Gomez-Alvarez, Vicente; Inkinen, Jenni; Ryzhikov, Ivan; Räsänen, Pia; Ikonen, Jenni; Pursiainen, Anna; Kauppinen, Ari; Kolehmainen, Mikko; Paananen, Jussi; Torvinen, Eila; Miettinen, Ilkka T; Pitkänen, Tarja, 2023, Water research, 248, 120858. A1 Journal article (refereed), original research
Evaluating neural network models in site-specific solar PV forecasting using numerical weather prediction data and weather observations
Brester, Christina; Kallio-Myers, Viivi; Lindfors, Anders V.; Kolehmainen, Mikko; Niska, Harri, 2023, Renewable energy, 207, 266-274. A1 Journal article (refereed), original research
What is the most appropriate follow-up time for detecting the epidemiological relationship between coronary artery disease and its main risk factors: novel findings from a 35-year follow-up study
Voutilainen, Ari; Brester, Christina; Kolehmainen, Mikko; Tuomainen, Tomi-Pekka, 2023, Coronary artery disease, 34, 5, 320-331. A1 Journal article (refereed), original research
Epidemiological analysis of coronary heart disease and its main risk factors: are their associations multiplicative, additive, or interactive?
Voutilainen, Ari; Brester, Christina; Kolehmainen, Mikko; Tuomainen, Tomi-Pekka, 2022, Annals of medicine, 54, 1, 1500-1510. A1 Journal article (refereed), original research
Epidemiological predictive modeling: lessons learned from the Kuopio ischemic heart disease risk factor study
Brester, Christina; Voutilainen, Ari; Tuomainen, Tomi-Pekka; Kauhanen, Jussi; Kolehmainen, Mikko, 2022, Annals of epidemiology, 70, 1-8. A1 Journal article (refereed), original research
Predicting risk of cardiovascular death in the high-dimensional cohort follow-up data in the presence of competing events: a guide for building a modeling pipeline
Brester, Christina; Tuomainen, Tomi-Pekka; Voutilainen, Ari; Kauhanen, Jussi; Kolehmainen, Mikko, 2022, Biostatistics & epidemiology, [Published online: 14 Jun 2022], 1-15. A1 Journal article (refereed), original research
Aggregated forecasting of the load control responses using a hybrid model that combines a physically based model with machine learning
Koponen, Pekka; Salmi, Tuukka; Evens, Corentin; Takala, Suvi; Hyttinen, Antti; Brester, Christina; Kolehmainen, Mikko; Niska, Harri, 2021, 588-901. A4 Conference proceedings
Diverse and active archaea communities occur in non-disinfected drinking water systems - Less activity revealed in disinfected and hot water
Inkinen, Jenni; Siponen, Sallamaari; Jayaprakash, Balamuralikrishna; Tiwari, Ananda; Hokajärvi, Anna-Maria; Pursiainen, Anna; Ikonen, Jenni; Kauppinen, Ari; Miettinen, Ilkka T.; Paananen, Jussi; Torvinen, Eila; Kolehmainen, Mikko; Pitkänen, Tarja, 2021, Water research X, 12, 100101. A1 Journal article (refereed), original research
Effects of data preprocessing on results of the epidemiological analysis of coronary heart disease and behaviour-related risk factors
Voutilainen, Ari; Brester, Christina; Kolehmainen, Mikko; Tuomainen, Tomi-Pekka, 2021, Annals of medicine, 53, 1, 890-899. A1 Journal article (refereed), original research
Post-Analysis of Predictive Modeling with an Epidemiological Example
Brester, Christina; Voutilainen, Ari; Tuomainen, Tomi-Pekka; Kauhanen, Jussi; Kolehmainen, Mikko, 2021, Healthcare, 9, 7, 792. A1 Journal article (refereed), original research
Predicting Cardiovascular Death with Automatically Designed Fuzzy Logic Rule-Based Models
Brester, Christina; Stanovov, Vladimir; Voutilainen, Ari; Tuomainen, Tomi-Pekka; Semenkin, Eugene; Kolehmainen, Mikko, 2021, Merelo, Juan JuliÃ¡n; Garibaldi, Jonathan; Linares-Barranco, Alejandro; Warwick, Kevin; Madani, Kurosh, Computational Intelligence: 11th International Joint Conference, IJCCI 2019, Vienna, Austria, September 17-19, 2019, Revised Selected Papers, 223-236. A4 Conference proceedings
Weather-Driven Predictive Control of a Battery Storage for Improved Microgrid Resilience
Gutierrez-Rojas, Daniel; Mashlakov, Aleksei; Brester, Christina; Niska, Harri; Kolehmainen, Mikko; Narayanan, Arun; Honkapuro, Samuli; Nardelli, Pedro HJ, 2021, IEEE access, 9, 163108-163121. A1 Journal article (refereed), original research
Facing the threat: common yellowjacket wasps as indicators of heavy metal pollution
Skaldina, Oksana; Ciszek, Robert; Peräniemi, Sirpa; Kolehmainen, Mikko; Sorvari, Jouni, 2020, Environmental science and pollution research, 27, 23, 29031-29042. A1 Journal article (refereed), original research
Nonlinear dynamic system identification with a cooperative population-based algorithm featuring a restart metaheuristic
Brester, C; Ryzhikov, I; Stanovov, V; Semenkin, E; Kolehmainen, M, 2020, -, II International Scientific Conference Advanced Technologies in Aerospace, Mechanical and Automation Engineering" - MIST: Aerospace - 2019 18-21 November 2019, Krasnoyarsk, Russia", 12100. A4 Conference proceedings
Potential and limitations of a pilot-scale drinking water distribution system for bacterial community predictive modelling
Brester, C; Ryzhikov, I; Siponen, S; Jayaprakash, B; Ikonen, J; Pitkänen, T; Miettinen, IT; Torvinen, E; Kolehmainen, M, 2020, Science of the total environment, 717, 137249. A1 Journal article (refereed), original research
The Effects of Acceptance and Commitment Therapy (ACT) Intervention on Inflammation and Stress Biomarkers: a Randomized Controlled Trial
Järvelä-Reijonen, Elina; Puttonen, Sampsa; Karhunen, Leila; Sairanen, Essi; Laitinen, Jaana; Kolehmainen, Mikko; Pihlajamäki, Jussi; Kujala, Urho M; Korpela, Riitta; Ermes, Miikka; Lappalainen, Raimo; Kolehmainen, Marjukka, 2020, International journal of behavioral medicine, 27, 5, 539-555. A1 Journal article (refereed), original research
Weather-based fault prediction in electricity networks with artificial neural networks
Brester, Christina; Niska, Harri; Ciszek, Robert ; Kolehmainen, Mikko, 2020, -, 2020 IEEE Congress on Evolutionary Computation (CEC): Conference proceedings, 1-8. A4 Conference proceedings
Active eukaryotes in drinking water distribution systems of ground and surface waterworks
Inkinen, J; Jayaprakash, B; Siponen, S; Hokajärvi, AM; Pursiainen, A; Ikonen, J; Ryzhikov, I; Täubel, M; Kauppinen, A; Paananen, J; Miettinen, IT; Torvinen, E; Kolehmainen, M; Pitkänen, T, 2019, Microbiome, 7, 1, 99. A1 Journal article (refereed), original research
Control of Dust Dispersion From an Enclosed Renovation Site Into Adjacent Areas by Using Local Exhaust Ventilation
Kokkonen, A; Linnainmaa, M; Säämänen, A; Kanerva, T; Sorvari, J; Kolehmainen, M; Lappalainen, V; Pasanen, P, 2019, Annals of work exposures and health, 63, 4, 468-479. A1 Journal article (refereed), original research
Electromagnetic Fields, Genomic Instability and Cancer: A Systems Biological View
Naarala, Jonne; Kolehmainen, Mikko; Juutilainen, Jukka, 2019, Genes, 10, 6, 479. A2 Review article, Literature review, Systematic review
Multi-Objective Approach for Support Vector Machine Parameter Optimization and Variable Selection in Cardiovascular Predictive Modeling
Brester, Christina; Ryzhikov, Ivan; Tuomainen, Tomi-Pekka; Voutilainen, Ari; Semenkin, Eugene; Kolehmainen, Mikko, 2019, Madani, Kurosh; Gusikhin, Oleg, Proceedings of the 15th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO, 199-205. A4 Conference proceedings
Evolutionary methods for variable selection in the epidemiological modeling of cardiovascular diseases
Brester, Christina; Kauhanen, Jussi; Tuomainen, Tomi-Pekka; Voutilainen, Sari; Rönkkö, Mauno, Ronkainen, Kimmo; Semenkin, Eugene; Kolehmainen, Mikko, 2018, Biodata mining, 11, 18. A1 Journal article (refereed), original research
Improved modelling of electric loads for enabling demand response by applying physical and data-driven models: Project Response
Koponen, Pekka; Hanninen, Seppo; Mutanen, Antti; Koskela, Juha; Rautiainen, Antti; Jarventausta, Pertti; Niska, Harri; Kolehmainen, Mikko; Koivisto, Hannu, 2018, -, 2018 IEEE International Energy conference (ENERGYCON), Limassol, Cyprus, 3-7 June 2018, 354-359, IEEE international energy conference. A4 Conference proceedings
Multi-objective Evolutionary Approach in the Linear Dynamical System Inverse Modeling
Ryzhikov, Ivan; Brester, Christina; Semenkin, Eugene; Kolehmainen, Mikko, 2018, Sabourin, Christophe; Merelo, Juan Julian; Linares Barranco, Alejandro; Madani, Kurosh; Warwick, Kevin, Proceedings of the 10th International Joint Conference on Computational Intelligence - Volume 1: IJCCI, 281-288. A4 Conference proceedings
On island model performance for cooperative real-valued multi-objective genetic algorithms
Brester, Christina; Ryzhikov, Ivan; Semenkin, Eugene; Kolehmainen, Mikko, 2018, Tan, Ying; Shi, Yuhui; Tang, Qirong, Advances in Swarm Intelligence: 9th International Conference, ICSI 2018, Shanghai, China, June 17-22, 2018, Proceedings, Part I, 210-219. A4 Conference proceedings
Diet-derived changes by sourdough-fermented rye bread in exhaled breath aspiration ion mobility spectrometry profiles in individuals with mild gastrointestinal symptoms
Raninen K, Lappi J, Kolehmainen M, Kolehmainen M, Mykkänen H, Poutanen K, Raatikainen O, 2017, International journal of food sciences and nutrition, 68, 8, 987-996. A1 Journal article (refereed), original research
Drinking water quality in distribution systems of surface and ground waterworks in Finland
Ikonen Jenni Meirami, Hokajärvi Anna-Maria, Heikkinen Jatta, Pitkänen Tarja, Ciszek Robert, Kolehmainen Mikko, Pursiainen Anna, Kauppinen Ari, Kusnetsov Jaana, Torvinen Eila, Miettinen Ilkka T, 2017, Journal of water security, 3, jws2017004. A1 Journal article (refereed), original research
Evaluation of Real-World Implementation of Partitioning and Negative Pressurization for Preventing the Dispersion of Dust From Renovation Sites
Kokkonen A, Linnainmaa M, Säämänen A, Lappalainen V, Kolehmainen M, Pasanen P, 2017, Annals of work exposures and health, 61, 6, 681-691. A1 Journal article (refereed), original research
On-line detection of Escherichia coli intrusion in a pilot-scale drinking water distribution system
Ikonen J, Pitkänen T, Kosse P, Ciszek R, Kolehmainen M, Miettinen IT, 2017, Journal of environmental management, 198, Part 1, 384-392. A1 Journal article (refereed), original research
Resident group specific accessibility analysis and implications for the Great Helsinki Region using Structural Accessibility Layer
Albacete X, Toivonen T, Salonen M, Saarsalmi P, Kolehmainen M, 2017, Case studies on transport policy, 5, 1, 87-101. A1 Journal article (refereed), original research
Why don't you use Evolutionary Algorithms in Big Data?
Stanovov V, Brester C, Kolehmainen M, Semenkina O, 2017, 12020. A4 Conference proceedings
Comparison of two-criterion evolutionary filtering techniques in cardiovascular predictive modelling
Brester C, Kauhanen J, Tuomainen T-P, Semenkin E, Kolehmainen M, 2016, Gusikhin Oleg, Peaucelle Dimitri, Madani Kurosh, Proceedings of the 13th International Conference on Informatics in Control, Automation and Robotics, 140-145. A3 Book section, Chapters in research books
Financial innovation: credit default hybrid model for SME lending
Li Kang, Niskanen Jyrki, Kolehmainen Mikko, Niskanen Mervi, 2016, Expert systems with applications, 61, 343-355. A1 Journal article (refereed), original research
Identifying socio-demographically favourable area types for early hybrid electric vehicle adoption through mining of public sector data
Saarenpää Jukka, Kolehmainen Mikko, Niska Harri, 2016, Intelligent data analysis, 20, 2, 339-355. A1 Journal article (refereed), original research
Intelligent analysis of energy consumption in school buildings
Raatikainen Mika, Skön Jukka-Pekka, Leiviskä Kauko, Kolehmainen Mikko, 2016, Applied energy, 165, 416-429. A1 Journal article (refereed), original research
Nonlinear transfer of elements from soil to plants: impact on radioecological modeling
Tuovinen TS, Kolehmainen M, Roivainen P, Kumlin T, Makkonen S2, Holopainen T, Juutilainen J, 2016, Radiation and environmental biophysics, 55, 3, 393-400. A1 Journal article (refereed), original research
Representing Situational Knowledge for Disease Outbreaks in Agriculture
Stocker Markus, Nikander Jussi, Huitu Hanna, Jalli Marja, Koistinen Markku, Rönkkö Mauno, Kolehmainen Mikko, 2016, Agrarinformatika folyoirat, 7, 2, 29-39. A1 Journal article (refereed), original research
A Software System for the Discovery of Situations Involving Drivers in Storms
Stocker Markus, Kauhanen Okko, Hiirsalmi Mikko, Saarela Janne, Rossi Pekka, Rönkkö Mauno, Hytönen Harri, Kotovirta Ville, Kolehmainen Mikko, 2015, Denzer Ralf, Argent Robert M, Schimak Gerald, Hrebícek Jirí, Environmental Software Systems. Infrastructures, Services and Applications, 226-234. A3 Book section, Chapters in research books
A data mining approach for producing small area statistics-based load profiles for distribution network planning
Saarenpää Jukka, Kolehmainen Mikko, Mononen Matti, Niska Harri, 2015, IEEE, IEEE ICIT 2015 Proceedings, 1236-1240, IEEE International Conference on Industrial Technology. A4 Conference proceedings
Atmospheric Environment and Quality of Life Information Extraction from Twitter with the use of Self-Organizing Maps
Riga Marina, Stocker Markus, Rönkkö Mauno, Karatzas Kostas, Kolehmainen Mikko, 2015, Journal of environmental informatics, 26, 1, 27-40. A1 Journal article (refereed), original research
Design of a Novel Adaptive Indoor Air Quality Control for Co-learning Smart House
Johansson Markus, Haataja Keijo, Kolehmainen Mikko, Toivanen Pekka, 2015, Kanjo Eiman, Trossen Dirk, Sensor Systems and Software. 5th International Conference, S-CUBE 2014, Coventry, UK, October 6-7, 2014, Revised Selected Papers, 1-10, International Conference on Sensor Systems and Software. A4 Conference proceedings
Detection and Classification of Vehicles by Measurement of Road-Pavement Vibration and by Means of Supervised Machine Learning
Stocker Markus, Silvonen Paula, Rönkkö Mauno, Kolehmainen Mikko, 2015, Journal of intelligent transportation systems, 2016; 20, 2, 125-137. A1 Journal article (refereed), original research
Emrooz: A Scalable Database for SSN Observations
Stocker Markus, Shurpali Narasinha, Taylor Kerry, Burba George, Rönkkö Mauno, Kolehmainen Mikko, 2015, Kyzirakos Kostis, Henson Cory, Perry Matthew, Varanka Dalia, Grütter Rolf, Joint Proceedings of the 1st Joint International Workshop on Semantic Sensor Networks and Terra Cognita (SSN-TC 2015) and the 4th International Workshop on Ordering and Reasoning (OrdRing 2015) co-located with the 14th International Semantic Web Conference (ISWC 2015), 1-12, International Semantic Web Conference. A4 Conference proceedings
Knowledge-based environmental research infrastructure: moving beyond data
Stocker Markus, Rönkkö Mauno, Kolehmainen Mikko, 2015, Earth science informatics, 9, 1 (March 2016), 47-65. A1 Journal article (refereed), original research
Provenance in Systems for Situation Awareness in Environmental Monitoring
Stocker Markus, Rönkkö Mauno, Kolehmainen Mikko, 2015, Denzer Ralf, Argent Robert M, Schimak Gerald, Hrebícek Jirí, Environmental Software Systems. Infrastructures, Services and Applications, 169-177. A3 Book section, Chapters in research books
Quality Control of Environmental Measurement Data with Quality Flagging
Rönkkö Mauno, Kauhanen Okko, Stocker Markus, Hytönen Harri, Kotovirta Ville, Juuso Esko, Kolehmainen Mikko, 2015, Denzer Ralf, Argent Robert, Schimak Gerald, Hrebicek Jiri, Environmental Software Systems. Infrastructures, Services and Applications, 343-350. A4 Conference proceedings
Abstractions from Sensor Data with Complex Event Processing and Machine Learning
Stocker Markus, Rönkkö Mauno, Kolehmainen Mikko, 2014, D.P. Ames, N.W.T. Quinn, A.E. Rizzoli, Proceedings of the 7th International Congress on Environmental Modelling and Software, International congress on environmental modelling and software. A4 Conference proceedings
Designing Resilience Mediators for Control Systems
Rönkkö Mauno, Stocker Markus, Neovius Mats, Petre Luigia, Kolehmainen Mikko, 2014, Hamza, M. H. (ed.), Proceedings of the IASTED International Conference on Modelling, Identification and Control, 147-154. A3 Book section, Chapters in research books
Exhaled breath aspiration ion mobility spectrometry profiles reflect metabolic changes induced by diet
Raninen Kaisa, Kolehmainen Mikko, Tuomainen Tomi-Pekka, Mykkänen Hannu, Poutanen Kaisa, Raatikainen Olavi, 2014, Journal of Physiobiochemical Metabolism, 2015; 3, 2. A1 Journal article (refereed), original research
On Proving Recoverability of Smart Electrical Grids
Horsmanheimo Seppo, Kamali Maryam, Kolehmainen Mikko, Neovius Mats, Petre Luigia, Rönkkö Mauno, Sandvik Petter, 2014, Badger, J.M. ja Rozier, K.Y. (toim.), NASA Formal Methods 6th International Symposium, NFM 2014, 77-91. A4 Conference proceedings
Representing situational knowledge acquired from sensor data for atmospheric phenomena
Stocker Markus, Baranizadeh Elham, Portin Harri, Komppula Mika, Rönkkö Mauno, Hamed Amar, Virtanen Annele, Lehtinen Kari, Laaksonen Ari, Kolehmainen Mikko, 2014, Environmental modelling and software, 58, 27-47. A1 Journal article (refereed), original research
Situational Knowledge Representation for Traffic Observed by a Pavement Vibration Sensor Network
Stocker Markus, Rönkkö Mauno, Kolehmainen Mikko, 2014, IEEE transactions on intelligent transportation systems, 15, 4, 1441 - 1450. A1 Journal article (refereed), original research
Towards an Ontology for Situation Assessment in Environmental Monitoring
Stocker Markus, Rönkkö Mauno, Mikko Kolehmainen, 2014, D.P. Ames, N.W.T. Quinn, A.E. Rizzoli, Proceedings of the 7th International Congress on Environmental Modelling and Software, International congress on environmental modelling and software. A4 Conference proceedings
A regional model for sustainable biogas electricity production: A case study from a Finnish province
Huopana Tuomas, Song Han, Kolehmainen Mikko, Niska Harri, 2013, Applied energy, 102, 676-686. A1 Journal article (refereed), original research
Acquisition and Representation of Knowledge for Atmospheric New Particle Formation
Stocker Markus, Baranizadeh Elham, Hamed Amar, Rönkkö Mauno, Virtanen Annele, Laaksonen Ari, Portin Harri, Komppula Mika, Kolehmainen Mikko, 2013, Hřebíček Jiří, Schimak Gerald, Kubásek Miroslav, Rizzoli Andrea E., Environmental Software Systems. Fostering Information Sharing, 98-108. A3 Book section, Chapters in research books
Classifying Environmental Monitoring Systems
Rönkkö Mauno, Kotovirta Ville, Kolehmainen Mikko, 2013, J. Hrebicek, et al., IFIP Advances in Information and Communication Technology, 533-542. A3 Book section, Chapters in research books
GIS-based Route Planning for HAZMAT Transportation
Preda Alexander, Rönkkö Mauno, Pickl Stefan, Kolehmainen Mikko, 2013, J. Hrebicek, et al., IFIP Advances in Information and Communication Technology, 357-366. A3 Book section, Chapters in research books
TiTiMaKe: A Distributed Service Architecture for Security Applications
Rönkkö Mauno, Stocker Markus, Huttunen Markku, Kotovirta Ville, Kolehmainen Mikko, 2013, Hrebicek, et al., Environmental Software Systems. Fostering Information Sharing, 381-390. A4 Conference proceedings
A GIS-based method for the selection of the location of residence
Albacete Xavier, Pasanen Kari, Kolehmainen Mikko, 2012, Geo-spatial information science, 1, 6, 7. A1 Journal article (refereed), original research
Analysing Events and Anomalies in Indoor Air Quality Using Self-Organizing Maps
Skön Jukka-Pekka, Johansson Markus, Raatikainen Mika, Haverinen-Shaughnessy Ulla, Pasanen Pertti, Leiviskä Kauko, Kolehmainen Mikko, 2012, International journal of artificial intelligence, 9, A12. A1 Journal article (refereed), original research
Analysing Office Building Water Network Data Using Computational Methods
Raatikainen Mika, Skön Jukka-Pekka, Johansson Markus, Keinänen-Toivola Minna, Kolehmainen Mikko, 2012, Hong, F., Informatics, Environment Energy and Applications. International Proceedings of Computer Science and Information Technology, 101-106, International proceedings of computer science and information technology. A4 Conference proceedings
Analysing School Buildings Energy Consumption Data Using Self-Organizing Maps
Raatikainen Mika, Skön Jukka-Pekka, Johansson Markus, Haverinen-Shaughnessy Ulla, Kolehmainen Mikko, 2012, -, Healthy Buildings 2012, 4A.6, Healthy buildings conference. A4 Conference proceedings
Effects of Energy Consumption on Indoor Air Quality
Raatikainen Mika, Skön Jukka-Pekka, Johansson Markus, Leiviskä Kauko, Kolemainen Mikko, 2012, -, -, 804-809. A4 Conference proceedings
Effects of Weather Conditions and Differential Air Pressure on Indoor Air Quality
Raatikainen Mika, Skön Jukka-Pekka, Johansson Markus, Leiviskä Kauko, Kolehmainen Mikko, 2012, -, -, 2093-2099. A4 Conference proceedings
Establishing a Hydraulic Model of Pilot Building: Living Lab Environment and Model Description
Skön Jukka-Pekka, Keinänen-Toivola Minna, Raatikainen Mika, Johansson Markus, Kolehmainen Mikko, 2012, Hong, F (toim.), Informatics, Environment Energy and Applications. International Proceedings of Computer Science and Information Technology, 90-95, International proceedings of computer science and information technology. A4 Conference proceedings
Langaton monitorointi- ja säätöjärjestelmä
Skön Jukka-Pekka, Johansson Markus, Raatikainen Mika, Kolehmainen Mikko, 2012, Säteri, J. ja Backman H. (toim.), Sisäilmastoseminaari 2012, 257-262, Sisäilmastoseminaari. A4 Conference proceedings
Making Sense of Sensor Data Using Ontology: A Discussion for Residential Building Monitoring
Stocker Markus, Rönkkö Mauno, Kolehmainen Mikko, 2012, Iliadis, Lazaros and Maglogiannis, Ilias and Papadopoulos, Harris and Karatzas, Kostas and Sioutas, Spyros, Artificial Intelligence Applications and Innovations, 341-350. A4 Conference proceedings
Making Sense of Sensor Data Using Ontology: A Discussion for Road Vehicle Classification
Stocker Markus, Rönkkö Mauno, Kolehmainen Mikko, 2012, R. Seppelt, A.A. Voinov, S. Lange, D. Bankamp (Eds.), International Environmental Modelling and Software Society (iEMSs), 2387-2394. A4 Conference proceedings
Modelling Indoor Air Carbon Dioxide (CO2) Concentration using Neural Network
Skön Jukka-Pekka, Johansson Markus, Raatikainen Mika, Leiviskä Kauko, Kolehmainen Mikko, 2012, -, -, 879-883. A4 Conference proceedings
Proactive Environmental Systems: the Next Generation of Environmental Monitoring
Rönkkö Mauno, Kotovirta Ville, Karatzas Kostas, Bastin Lucy, Stocker Markus, Kolehmainen Mikko, 2012, Seppelt R., Voinov A.A., Lange S, Bankamp D., iEMSs 2012 International Congress on Environmental Modelling and Software, 1-8, International congress on environmental modelling and software. A4 Conference proceedings
Rakennusten energiatehokkuuden parantaminen Itä-Suomessa (INSULAVO)
Turunen Mari, Skön Jukka-Pekka, Raatikainen Mika, Pekkonen Maria, Kukkonen Jari, Väisänen Pertti, Kolehmainen Mikko, Haverinen-Shaughnessy Ulla, 2012, Säteri, J. ja Backman H. (toim.), Sisäilmastoseminaari 2012, 241-244, Sisäilmastoseminaari. A4 Conference proceedings
Sisäilman laadun vaikutukset rakennuksen energiatehokkuuteen
Raatikainen Mika, Skön Jukka-Pekka, Johansson Markus, Kolehmainen Mikko, 2012, Säteri, J. ja Backman H. (toim.), Sisäilmastoseminaari 2012, 245-250, Sisäilmastoseminaari. A4 Conference proceedings
Wireless Building Monitoring and Control System
Skön Jukka-Pekka, Johansson Markus, Kauhanen Okko, Raatikainen Mika, Leiviskä Kauko, Kolehmainen Mikko, 2012, -, -, 706-711. A4 Conference proceedings
Intercomparison of air quality data using principal component analysis, and forecasting of PM10 and PM2.5 concentrations using artificial neural networks, in Thessaloniki and Helsinki
Voukantsis Dimitris, Karatzas Kostas, Kukkonen Jaakko, Räsänen Teemu, Karppinen Ari, Kolehmainen Mikko, 2011, Science of the total environment, 409, 1266-1276. A1 Journal article (refereed), original research
Prediction of microRNA targets in Caenorhabditis elegans using a self-organizing map
Heikkinen Liisa, Kolehmainen Mikko, Wong Garry, 2011, Bioinformatics, 27, 9, 1247-1254. A1 Journal article (refereed), original research
Soil-to-plant transfer of elements is not linear: Results for five elements relevant to radioactive waste in five boreal forest species
Tuovinen Tiina S, Roivainen Päivi, Makkonen Sari, Kolehmainen Mikko, Holopainen Toini, Juutilainen Jukka, 2011, Science of the total environment, 410, 191-197. A1 Journal article (refereed), original research
Data-based method for creating electricity use load profiles using large amount of customer-specific hourly measured electricity use data
Räsänen T, Voukantsis D, Niska H, Karatzas K & Kolehmainen M, 2010, Applied energy, 87, 11, 3538-3545. A1 Journal article (refereed), original research
Energian- ja vedenkulutuksen seuranta rakennuksissa
Serkkola A, Skön J-P, Räsänen T & Kolehmainen M, 2010, Rakennustaito, 02/2010, 28-29. D1 Article in a trade journal
Gene expression responses of paper birch (Betula pendula) to elevated CO2 and O3 during leaf maturation and senescence
Kontunen-Soppela S, Parviainen J, Brosché M, Keinänen M, Kolehmainen M, Kangasjärvi J, Thakur RC, Oksanen E, Karnosky DF, Vapaavuori E., 2010, Environmental pollution, 158, 959-968. A1 Journal article (refereed), original research
Neural networks for the prediction of species-specific stem volumes using airborne laser scanning and aerial photographs
Niska H, Packalén P, Skön J-P, Tokola T, Maltamo M & Kolehmainen M, 2010, IEEE transactions on geoscience and remote sensing, 48, 3, 1076-1085. A1 Journal article (refereed), original research
Use of sewer on-line total solids data in wastewater treatment plant modelling
Poutiainen H, Niska H, Heinonen-Tanski H & Kolehmainen M, 2010, Water science and technology, 62, 4, 743-750. A1 Journal article (refereed), original research
Adaptive and Natural Computing Algorithms. 9th International Conference, ICANNGA 2009, Kuopio, Finland, April 23-25, 2009, Revised Selected Papers
Kolehmainen M, Toivanen P, Beliczynski B, 2009, Springer. C2 Edited book, conference proceedings or special issue of a journal
An experimental evaluation of ZCS-DM for the prediction of urban air quality
Tzima FA, Niska H, Kolehmainen M, Karatzas KD, Mitkas PA, 2009, Athanasiadis IN, Mitkas PA, Rizzoli AE, Marx-Gómez J, Information Technologies in Environmental Engineering. Proceedings of the 4th International ICSC Symposium, 291-304. A4 Conference proceedings
Feature-based clustering for electricity use time series data
Räsänen T, Kolehmainen M, 2009, Kolehmainen V, Toivanen P, Beliczynski B, Adaptive and Natural Computing Algorithms - ICANNGA 2009. 9th International Conference. Proceedings, 401-412. A4 Conference proceedings
Neural networks for estimating net ecosystem CO2 exchange using incomplete eddy covariance data
Niska H, Shurpali N, Martikainen P, Kolehmainen M, 2009, Fonseca I Casas, P, Proceedings of the 18th IASTED International Conference on Applied Simulation and Modelling, 112-117. A4 Conference proceedings
Predictive system for monitoring regional visitor attendance levels in large recreational areas
Räsänen T, Niska H, Hiltunen T, Tiirikainen J, Kolehmainen M, 2009, Journal of environmental informatics, 13, 1, 45-55. A1 Journal article (refereed), original research
Characterisation of the chemical and biological properties of molecules with QSAR/QSPR and chemical grouping, and its application to a group of alkyl ethers
Niska H, Tuppurainen K, Skön J-P, Mallett AK, Kolehmainen M, 2008, Sar and qsar in environmental research, 19, 3-4, 263-284. A1 Journal article (refereed), original research
Evaluating online data of water quality changes in a pilot drinking water distribution system with multivariate data exploration methods
Mustonen SM, Tissari S, Huikko L, Kolehmainen M, Lehtola MJ, Hirvonen A, 2008, Water research, 42, 2421-2430. A1 Journal article (refereed), original research
Neural Network based method for predicting regional visitor attendance levels in recreational areas
Räsänen T, Kolehmainen M, 2008, Sánchez-Marré M, Béjar J, Comas J, Rizzoli AE, Guariso G, iEMSs 2008. Proceeedings of the iEMSs Fourth Biannial meeting: International congress on environmental modelling and software, 1118-1124. A4 Conference proceedings
Reducing energy consumption by using self-organizing maps to create more personalized electricity use information
Räsänen T, Ruuskanen J, Kolehmainen M, 2008, Applied energy, 85, 830-840. A1 Journal article (refereed), original research
Classification of soil groups using weights-of-evidence-method and RBFLN-Neutral nets
Tissari S, Nykänen V, Lerssi J, Kolehmainen M, 2007, Natural resources research, 16, 2, 159-169. A1 Journal article (refereed), original research
Genetic algorithms and sensitivity analysis applied to select inputs of a multi-layer perceptron for the prediction of air pollutant time-series
Niska H, Heikkinen M, Kolehmainen M, 2006, Intelligent Data Engineering and Automated Learning. IDEAL 2006. 7th International Conference, Proceedings, 224-231. A4 Conference proceedings
Structure-based classification of active and inactive estrogenic compounds by decision tree, LVQ and kNN methods
Asikainen A, Kolehmainen M, Ruuskanen J, Tuppurainen K, 2006, Chemosphere, 62, 658-673. A1 Journal article (refereed), original research
Evaluation of an integrated modeling system containing a multi-layer perceptron model and the numerical weather prediction model HIRLAM for the forecasting of urban airborne pollutant concentrations
Niska H, Rantamäki M, Hiltunen T, Karppinen A, Kukkonen J, Ruuskanen J, Kolehmainen M, 2005, Atmospheric environment, 39, 6524-6536. A1 Journal article (refereed), original research
Evolutionary design and evaluation of modeling system for forecasting urban airborne maximum pollutant concentrations
Niska H, Hiltunen T, Karppinen A, Kolehmainen M, 2005, Ribeiro B, Albrecht RF, Dobnikar A, Pearson DW, Steele NC, Adaptive and Natural Computing Algorithms. Proceedings of the International Conference, 181-184. A4 Conference proceedings
Data Exploration with Self-organizing Maps in Environmental Informatics and Bioinformatics
Kolehmainen M, 2004, Kuopion yliopiston julkaisuja C. Luonnontieteet ja ympäristötieteet. G5 Doctoral dissertation (article)
Data and information utilisation in waste management systems
Nuortio T, van den Dool G, Hiltunen T, Matikka V, Räsänen T, Kolehmainen M, 2004, Popov V, Itoh H, Brebbia CA, Kungolos S, Waste management 2004. Waste management and the Environment II. Second International Conference on Waste Management and the Environment. Organised by Wessex Institute of Technology, UK, Section 9. 9 s.. A4 Conference proceedings
Evolving the neural network model for forecasting air pollution time series
Niska H, Hiltunen T, Karppinen A, Ruuskanen J, Kolehmainen M, 2004, Engineering applications of artificial intelligence, 17, 2, 159-167. A1 Journal article (refereed), original research
Methods for imputation of missing values in air quality data sets
Junninen H, Niska H, Tuppurainen K, Ruuskanen J, Kolehmainen M, 2004, Atmospheric environment, 38, 18, 2895-2907. A1 Journal article (refereed), original research
A rigorous inter-comparison of ground-level ozone predictions
Schlink U, Dorling S, Pelikan E, Nunnari G, Cawley G, Junninen H, Greig A, Foxall R, Eben K, Chatterton T, Vondracek J, Richter M, Dostal M, Bertucco L, Kolehmainen M, Doyle M, 2003, Atmospheric environment, 37, 3237-3253. A1 Journal article (refereed), original research
Evolving the neural network model for forecasting air pollution time series
Niska H, Kolehmainen M, Hiltunen T, Karppinen A, Ruuskanen J, 2003, A.E. Ruano, IFAC International Conference on Intelligent Control Systems and signal Processing (ICONS'03), 310-315. A4 Conference proceedings
Extensive evaluation of neural network models for the prediction of NO2 and PM10 concentrations, compared with a deterministic modelling system and measurements in central Helsinki
Kukkonen J, Partanen L, Karppinen A, Ruuskanen J, Junninen H, Kolehmainen M, Niska H, Dorling S, Chatterton T, Foxall R, Cawley G, 2003, Atmospheric environment, 37, 4539-4550. A1 Journal article (refereed), original research
Hybrid models for forecasting air pollution episodes
Niska H, Hiltunen T, Kolehmainen M, Ruuskanen J, 2003, David W. Pearson, Nigel C. Steele, Rudolf F. Albrech, Artificial Neural Nets and Cenetic Algorithms Proceedings of the International Conference, 80-84. A4 Conference proceedings
Monitoring of yeast fermentation by ion mobility spectrometry measurement and data visualisation with Self-Organizing Maps
Kolehmainen M, Rönkkö P, Raatikainen O, 2003, Analytica chimica acta, 484, 93-100. A1 Journal article (refereed), original research
Analysis of gene expression data using self-organizing maps
Törönen P, Kolehmainen M, Wong G, Castrén E, 1999, Febs letters, 451, 142-146. A1 Journal article (refereed), original research

University of Eastern Finland Joensuu, Kuopio © University of Eastern Finland

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Mikko Kolehmainen

Projects

Keywords

Linking hypolimnion to epilimnion in a stratified arctic lake: Machine learning-based estimation of hypolimnetic water quality from epilimnetic measurements

Effect of pipe material and disinfectant on active bacterial communities in drinking water and biofilms

A Novel Multi-Objective Hybrid Evolutionary-Based Approach for Tuning Machine Learning Models in Short-Term Power Consumption Forecasting

An open web-based GIS service for biomass data in Finland

Weather-Based Prediction of Power Consumption in District Heating Network: Case Study in Finland

A physical-neural network approach for residential load forecasting with dynamic load control

Associations of altered hepatic gene expression in American lifestyle-induced obesity syndrome diet-fed mice with metabolic changes during NAFLD development and progression

Automated load control detection using power quality data and machine learning

Composition of active bacterial communities and presence of opportunistic pathogens in disinfected and non-disinfected drinking water distribution systems in Finland

Evaluating neural network models in site-specific solar PV forecasting using numerical weather prediction data and weather observations

What is the most appropriate follow-up time for detecting the epidemiological relationship between coronary artery disease and its main risk factors: novel findings from a 35-year follow-up study

Epidemiological analysis of coronary heart disease and its main risk factors: are their associations multiplicative, additive, or interactive?

Epidemiological predictive modeling: lessons learned from the Kuopio ischemic heart disease risk factor study

Predicting risk of cardiovascular death in the high-dimensional cohort follow-up data in the presence of competing events: a guide for building a modeling pipeline

Aggregated forecasting of the load control responses using a hybrid model that combines a physically based model with machine learning

Diverse and active archaea communities occur in non-disinfected drinking water systems - Less activity revealed in disinfected and hot water

Effects of data preprocessing on results of the epidemiological analysis of coronary heart disease and behaviour-related risk factors

Post-Analysis of Predictive Modeling with an Epidemiological Example

Predicting Cardiovascular Death with Automatically Designed Fuzzy Logic Rule-Based Models

Weather-Driven Predictive Control of a Battery Storage for Improved Microgrid Resilience

Facing the threat: common yellowjacket wasps as indicators of heavy metal pollution

Nonlinear dynamic system identification with a cooperative population-based algorithm featuring a restart metaheuristic

Potential and limitations of a pilot-scale drinking water distribution system for bacterial community predictive modelling

The Effects of Acceptance and Commitment Therapy (ACT) Intervention on Inflammation and Stress Biomarkers: a Randomized Controlled Trial

Weather-based fault prediction in electricity networks with artificial neural networks

Active eukaryotes in drinking water distribution systems of ground and surface waterworks

Control of Dust Dispersion From an Enclosed Renovation Site Into Adjacent Areas by Using Local Exhaust Ventilation

Electromagnetic Fields, Genomic Instability and Cancer: A Systems Biological View

Multi-Objective Approach for Support Vector Machine Parameter Optimization and Variable Selection in Cardiovascular Predictive Modeling

Evolutionary methods for variable selection in the epidemiological modeling of cardiovascular diseases

Improved modelling of electric loads for enabling demand response by applying physical and data-driven models: Project Response

Multi-objective Evolutionary Approach in the Linear Dynamical System Inverse Modeling

On island model performance for cooperative real-valued multi-objective genetic algorithms

Diet-derived changes by sourdough-fermented rye bread in exhaled breath aspiration ion mobility spectrometry profiles in individuals with mild gastrointestinal symptoms

Drinking water quality in distribution systems of surface and ground waterworks in Finland

Evaluation of Real-World Implementation of Partitioning and Negative Pressurization for Preventing the Dispersion of Dust From Renovation Sites

On-line detection of Escherichia coli intrusion in a pilot-scale drinking water distribution system

Resident group specific accessibility analysis and implications for the Great Helsinki Region using Structural Accessibility Layer

Why don't you use Evolutionary Algorithms in Big Data?

Comparison of two-criterion evolutionary filtering techniques in cardiovascular predictive modelling

Financial innovation: credit default hybrid model for SME lending

Identifying socio-demographically favourable area types for early hybrid electric vehicle adoption through mining of public sector data

Intelligent analysis of energy consumption in school buildings

Nonlinear transfer of elements from soil to plants: impact on radioecological modeling

Representing Situational Knowledge for Disease Outbreaks in Agriculture

A Software System for the Discovery of Situations Involving Drivers in Storms

A data mining approach for producing small area statistics-based load profiles for distribution network planning

Atmospheric Environment and Quality of Life Information Extraction from Twitter with the use of Self-Organizing Maps

Design of a Novel Adaptive Indoor Air Quality Control for Co-learning Smart House

Detection and Classification of Vehicles by Measurement of Road-Pavement Vibration and by Means of Supervised Machine Learning

Emrooz: A Scalable Database for SSN Observations

Knowledge-based environmental research infrastructure: moving beyond data

Provenance in Systems for Situation Awareness in Environmental Monitoring

Quality Control of Environmental Measurement Data with Quality Flagging

Abstractions from Sensor Data with Complex Event Processing and Machine Learning

Designing Resilience Mediators for Control Systems

Exhaled breath aspiration ion mobility spectrometry profiles reflect metabolic changes induced by diet

On Proving Recoverability of Smart Electrical Grids

Representing situational knowledge acquired from sensor data for atmospheric phenomena

Situational Knowledge Representation for Traffic Observed by a Pavement Vibration Sensor Network

Towards an Ontology for Situation Assessment in Environmental Monitoring

A regional model for sustainable biogas electricity production: A case study from a Finnish province

Acquisition and Representation of Knowledge for Atmospheric New Particle Formation

Classifying Environmental Monitoring Systems

GIS-based Route Planning for HAZMAT Transportation

TiTiMaKe: A Distributed Service Architecture for Security Applications

A GIS-based method for the selection of the location of residence

Analysing Events and Anomalies in Indoor Air Quality Using Self-Organizing Maps

Analysing Office Building Water Network Data Using Computational Methods

Analysing School Buildings Energy Consumption Data Using Self-Organizing Maps

Effects of Energy Consumption on Indoor Air Quality

Effects of Weather Conditions and Differential Air Pressure on Indoor Air Quality

Establishing a Hydraulic Model of Pilot Building: Living Lab Environment and Model Description

Langaton monitorointi- ja säätöjärjestelmä

Making Sense of Sensor Data Using Ontology: A Discussion for Residential Building Monitoring

Making Sense of Sensor Data Using Ontology: A Discussion for Road Vehicle Classification