Mikko Kolehmainen
Professori
Ympäristöinformatiikan ja -mallinnuksen professori
Ympäristö- ja biotieteiden laitos, Luonnontieteiden, metsätieteiden ja tekniikan tiedekunta
mikko.kolehmainen@uef.fi | 044 290 2637
Julkaisut
120/120 kappaletta-
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: -
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: -
A physical-neural network approach for residential load forecasting with dynamic load control
Nakabi, T; Brester, C; Kolehmainen, M; Niska, H. Teoksessa: (toim.) , 2023. 27th International Conference on Electricity Distribution (CIRED 2023). s. 1-5. Institution of engineering and technology -
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: -
Automated load control detection using power quality data and machine learning
Brester, C; Hildén, A; Kolehmainen, M; Pakonen, P; Niska, H. Teoksessa: (toim.) , 2023. 27th International Conference on Electricity Distribution (CIRED 2023). s. 1-5. Institution of engineering and technology -
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. 2024; 248: -
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 -
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: 320-331 -
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: 1500-1510 -
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 -
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 -
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. Teoksessa: (toim.) , 2021. . s. 588-901. -
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 -
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: 890-899 -
Post-Analysis of Predictive Modeling with an Epidemiological Example
Brester, Christina; Voutilainen, Ari; Tuomainen, Tomi-Pekka; Kauhanen, Jussi; Kolehmainen, Mikko. 2021. Healthcare. 9: 792 -
Predicting Cardiovascular Death with Automatically Designed Fuzzy Logic Rule-Based Models
Brester, Christina; Stanovov, Vladimir; Voutilainen, Ari; Tuomainen, Tomi-Pekka; Semenkin, Eugene; Kolehmainen, Mikko. Teoksessa: Merelo, Juan Julián; Garibaldi, Jonathan; Linares-Barranco, Alejandro; Warwick, Kevin; Madani, Kurosh(toim.) , 2021. Computational Intelligence: 11th International Joint Conference, IJCCI 2019, Vienna, Austria, September 17-19, 2019, Revised Selected Papers. s. 223-236. Springer -
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 -
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: 29031-29042 -
Nonlinear dynamic system identification with a cooperative population-based algorithm featuring a restart metaheuristic
Brester, C; Ryzhikov, I; Stanovov, V; Semenkin, E; Kolehmainen, M. Teoksessa: -(toim.) , 2020. II International Scientific Conference Advanced Technologies in Aerospace, Mechanical and Automation Engineering" - MIST: Aerospace - 2019 18-21 November 2019, Krasnoyarsk, Russia". s. 12100. -
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 -
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: 539-555 -
Weather-based fault prediction in electricity networks with artificial neural networks
Brester, Christina; Niska, Harri; Ciszek, Robert ; Kolehmainen, Mikko. Teoksessa: -(toim.) , 2020. 2020 IEEE Congress on Evolutionary Computation (CEC): Conference proceedings. s. 1-8. IEEE -
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: 99 -
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: 468-479 -
Electromagnetic Fields, Genomic Instability and Cancer: A Systems Biological View
Naarala, Jonne; Kolehmainen, Mikko; Juutilainen, Jukka. 2019. Genes. 10: 479 -
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. Teoksessa: Madani, Kurosh; Gusikhin, Oleg(toim.) , 2019. Proceedings of the 15th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO. s. 199-205. SCITEPRESS Science And Technology Publications -
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 -
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. Teoksessa: -(toim.) , 2018. 2018 IEEE International Energy conference (ENERGYCON), Limassol, Cyprus, 3-7 June 2018. s. 354-359. IEEE -
Multi-objective Evolutionary Approach in the Linear Dynamical System Inverse Modeling
Ryzhikov, Ivan; Brester, Christina; Semenkin, Eugene; Kolehmainen, Mikko. Teoksessa: Sabourin, Christophe; Merelo, Juan Julian; Linares Barranco, Alejandro; Madani, Kurosh; Warwick, Kevin(toim.) , 2018. Proceedings of the 10th International Joint Conference on Computational Intelligence - Volume 1: IJCCI. s. 281-288. SCITEPRESS Science And Technology Publications -
On island model performance for cooperative real-valued multi-objective genetic algorithms
Brester, Christina; Ryzhikov, Ivan; Semenkin, Eugene; Kolehmainen, Mikko. Teoksessa: Tan, Ying; Shi, Yuhui; Tang, Qirong(toim.) , 2018. Advances in Swarm Intelligence: 9th International Conference, ICSI 2018, Shanghai, China, June 17-22, 2018, Proceedings, Part I. s. 210-219. Springer -
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: 987-996 -
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 -
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: 681-691 -
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: 384-392 -
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: 87-101 -
Why don't you use Evolutionary Algorithms in Big Data?
Stanovov V, Brester C, Kolehmainen M, Semenkina O. Teoksessa: (toim.) , 2017. . s. 12020. -
Comparison of two-criterion evolutionary filtering techniques in cardiovascular predictive modelling
Brester C, Kauhanen J, Tuomainen T-P, Semenkin E, Kolehmainen M. Teoksessa: Gusikhin Oleg, Peaucelle Dimitri, Madani Kurosh(toim.) , 2016. Proceedings of the 13th International Conference on Informatics in Control, Automation and Robotics. s. 140-145. Scitepress science and technology publications -
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 -
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: 339-355 -
Intelligent analysis of energy consumption in school buildings
Raatikainen Mika, Skön Jukka-Pekka, Leiviskä Kauko, Kolehmainen Mikko. 2016. Applied energy. 165: 416-429 -
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: 393-400 -
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: 29-39 -
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. Teoksessa: Denzer Ralf, Argent Robert M, Schimak Gerald, Hrebícek Jirí(toim.) , 2015. Environmental Software Systems. Infrastructures, Services and Applications. s. 226-234. Springer International Publishing -
A data mining approach for producing small area statistics-based load profiles for distribution network planning
Saarenpää Jukka, Kolehmainen Mikko, Mononen Matti, Niska Harri. Teoksessa: IEEE(toim.) , 2015. IEEE ICIT 2015 Proceedings. s. 1236-1240. IEEE -
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: 27-40 -
Design of a Novel Adaptive Indoor Air Quality Control for Co-learning Smart House
Johansson Markus, Haataja Keijo, Kolehmainen Mikko, Toivanen Pekka. Teoksessa: Kanjo Eiman, Trossen Dirk(toim.) , 2015. Sensor Systems and Software. 5th International Conference, S-CUBE 2014, Coventry, UK, October 6-7, 2014, Revised Selected Papers. s. 1-10. Springer -
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: 125-137 -
Emrooz: A Scalable Database for SSN Observations
Stocker Markus, Shurpali Narasinha, Taylor Kerry, Burba George, Rönkkö Mauno, Kolehmainen Mikko. Teoksessa: Kyzirakos Kostis, Henson Cory, Perry Matthew, Varanka Dalia, Grütter Rolf(toim.) , 2015. 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). s. 1-12. CEUR-WS -
Knowledge-based environmental research infrastructure: moving beyond data
Stocker Markus, Rönkkö Mauno, Kolehmainen Mikko. 2015. Earth science informatics. 9: 47-65 -
Provenance in Systems for Situation Awareness in Environmental Monitoring
Stocker Markus, Rönkkö Mauno, Kolehmainen Mikko. Teoksessa: Denzer Ralf, Argent Robert M, Schimak Gerald, Hrebícek Jirí(toim.) , 2015. Environmental Software Systems. Infrastructures, Services and Applications. s. 169-177. Springer International Publishing -
Quality Control of Environmental Measurement Data with Quality Flagging
Rönkkö Mauno, Kauhanen Okko, Stocker Markus, Hytönen Harri, Kotovirta Ville, Juuso Esko, Kolehmainen Mikko. Teoksessa: Denzer Ralf, Argent Robert, Schimak Gerald, Hrebicek Jiri(toim.) , 2015. Environmental Software Systems. Infrastructures, Services and Applications. s. 343-350. Springer -
Abstractions from Sensor Data with Complex Event Processing and Machine Learning
Stocker Markus, Rönkkö Mauno, Kolehmainen Mikko. Teoksessa: D.P. Ames, N.W.T. Quinn, A.E. Rizzoli(toim.) , 2014. Proceedings of the 7th International Congress on Environmental Modelling and Software. s. -. International Environmental Modelling & Software Society -
Designing Resilience Mediators for Control Systems
Rönkkö Mauno, Stocker Markus, Neovius Mats, Petre Luigia, Kolehmainen Mikko. Teoksessa: Hamza, M. H. (ed.)(toim.) , 2014. Proceedings of the IASTED International Conference on Modelling, Identification and Control. s. 147-154. Acta press -
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: - -
Financial Innovation: Credit Risk Hybrid Model for SME Lending
Li Kang, Jyrki Niskanen, Mikko Kolehmainen ja Mervi Niskanen. Teoksessa: Serge Amabile et al.(toim.) , 2014. Proceedings of the 5th international research meeting in business and management. s. 1-29. -
On Proving Recoverability of Smart Electrical Grids
Horsmanheimo Seppo, Kamali Maryam, Kolehmainen Mikko, Neovius Mats, Petre Luigia, Rönkkö Mauno, Sandvik Petter. Teoksessa: Badger, J.M. ja Rozier, K.Y. (toim.)(toim.) , 2014. NASA Formal Methods 6th International Symposium, NFM 2014. s. 77-91. Springer-Verlag -
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 -
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: 1441 - 1450 -
Towards an Ontology for Situation Assessment in Environmental Monitoring
Stocker Markus, Rönkkö Mauno, Mikko Kolehmainen. Teoksessa: D.P. Ames, N.W.T. Quinn, A.E. Rizzoli(toim.) , 2014. Proceedings of the 7th International Congress on Environmental Modelling and Software. s. -. International Environmental Modelling & Software Society -
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 -
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. Teoksessa: Hřebíček Jiří, Schimak Gerald, Kubásek Miroslav, Rizzoli Andrea E.(toim.) , 2013. Environmental Software Systems. Fostering Information Sharing. s. 98-108. Springer Gabler -
Classifying Environmental Monitoring Systems
Rönkkö Mauno, Kotovirta Ville, Kolehmainen Mikko. Teoksessa: J. Hrebicek, et al.(toim.) , 2013. IFIP Advances in Information and Communication Technology. s. 533-542. Springer -
GIS-based Route Planning for HAZMAT Transportation
Preda Alexander, Rönkkö Mauno, Pickl Stefan, Kolehmainen Mikko. Teoksessa: J. Hrebicek, et al.(toim.) , 2013. IFIP Advances in Information and Communication Technology. s. 357-366. Springer Gabler -
TiTiMaKe: A Distributed Service Architecture for Security Applications
Rönkkö Mauno, Stocker Markus, Huttunen Markku, Kotovirta Ville, Kolehmainen Mikko. Teoksessa: Hrebicek, et al.(toim.) , 2013. Environmental Software Systems. Fostering Information Sharing. s. 381-390. Springer Gabler -
A GIS-based method for the selection of the location of residence
Albacete Xavier, Pasanen Kari, Kolehmainen Mikko. 2012. Geo-spatial information science. 1: 7 -
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 -
Analysing Office Building Water Network Data Using Computational Methods
Raatikainen Mika, Skön Jukka-Pekka, Johansson Markus, Keinänen-Toivola Minna, Kolehmainen Mikko. Teoksessa: Hong, F.(toim.) , 2012. Informatics, Environment Energy and Applications. International Proceedings of Computer Science and Information Technology. s. 101-106. IACSIT Press -
Analysing School Buildings Energy Consumption Data Using Self-Organizing Maps
Raatikainen Mika, Skön Jukka-Pekka, Johansson Markus, Haverinen-Shaughnessy Ulla, Kolehmainen Mikko. Teoksessa: -(toim.) , 2012. Healthy Buildings 2012. s. 4A.6. Queensland University of Technology -
Data-driven model for forecasting energy demand using continuous energy metering and other sensor data
Niska H, Johansson M, Raatikainen M, Skön J-P, Saarenpää J, Kolehmainen M. 2012. -
Effects of Energy Consumption on Indoor Air Quality
Raatikainen Mika, Skön Jukka-Pekka, Johansson Markus, Leiviskä Kauko, Kolemainen Mikko. Teoksessa: -(toim.) , 2012. -. s. 804-809. -
Effects of Weather Conditions and Differential Air Pressure on Indoor Air Quality
Raatikainen Mika, Skön Jukka-Pekka, Johansson Markus, Leiviskä Kauko, Kolehmainen Mikko. Teoksessa: -(toim.) , 2012. -. s. 2093-2099. -
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. Teoksessa: Hong, F (toim.)(toim.) , 2012. Informatics, Environment Energy and Applications. International Proceedings of Computer Science and Information Technology. s. 90-95. IACSIT Press -
Langaton monitorointi- ja säätöjärjestelmä
Skön Jukka-Pekka, Johansson Markus, Raatikainen Mika, Kolehmainen Mikko. Teoksessa: Säteri, J. ja Backman H. (toim.)(toim.) , 2012. Sisäilmastoseminaari 2012. s. 257-262. Siy sisäilmatieto oy -
Making Sense of Sensor Data Using Ontology: A Discussion for Residential Building Monitoring
Stocker Markus, Rönkkö Mauno, Kolehmainen Mikko. Teoksessa: Iliadis, Lazaros and Maglogiannis, Ilias and Papadopoulos, Harris and Karatzas, Kostas and Sioutas, Spyros(toim.) , 2012. Artificial Intelligence Applications and Innovations. s. 341-350. Springer Berlin Heidelberg -
Making Sense of Sensor Data Using Ontology: A Discussion for Road Vehicle Classification
Stocker Markus, Rönkkö Mauno, Kolehmainen Mikko. Teoksessa: R. Seppelt, A.A. Voinov, S. Lange, D. Bankamp (Eds.)(toim.) , 2012. International Environmental Modelling and Software Society (iEMSs). s. 2387-2394. International Modelling & Software Society -
Modelling Indoor Air Carbon Dioxide (CO2) Concentration using Neural Network
Skön Jukka-Pekka, Johansson Markus, Raatikainen Mika, Leiviskä Kauko, Kolehmainen Mikko. Teoksessa: -(toim.) , 2012. -. s. 879-883. -
Proactive Environmental Systems: the Next Generation of Environmental Monitoring
Rönkkö Mauno, Kotovirta Ville, Karatzas Kostas, Bastin Lucy, Stocker Markus, Kolehmainen Mikko. Teoksessa: Seppelt R., Voinov A.A., Lange S, Bankamp D.(toim.) , 2012. iEMSs 2012 International Congress on Environmental Modelling and Software. s. 1-8. -
Rakennusten energiatehokkuuden parantaminen Itä-Suomessa (INSULAVO)
Turunen Mari, Skön Jukka-Pekka, Raatikainen Mika, Pekkonen Maria, Kukkonen Jari, Väisänen Pertti, Kolehmainen Mikko, Haverinen-Shaughnessy Ulla. Teoksessa: Säteri, J. ja Backman H. (toim.)(toim.) , 2012. Sisäilmastoseminaari 2012. s. 241-244. Siy sisäilmatieto oy -
Sisäilman laadun vaikutukset rakennuksen energiatehokkuuteen
Raatikainen Mika, Skön Jukka-Pekka, Johansson Markus, Kolehmainen Mikko. Teoksessa: Säteri, J. ja Backman H. (toim.)(toim.) , 2012. Sisäilmastoseminaari 2012. s. 245-250. Siy sisäilmatieto oy -
Wireless Building Monitoring and Control System
Skön Jukka-Pekka, Johansson Markus, Kauhanen Okko, Raatikainen Mika, Leiviskä Kauko, Kolehmainen Mikko. Teoksessa: -(toim.) , 2012. -. s. 706-711. -
Wireless Building Monitoring and Control System
Skön Jukka-Pekka, Raatikainen Mika, Johansson Markus, Kolehmainen Mikko. 2012. -
Asumisterveyden ja energiatehokkuuden kehittäminen asuinkerrostaloissa ja kouluissa
Skön Jukka-Pekka, Raatikanen Mika, Kolehmainen Mikko. 2011. Rakennustaito. : 20-21 -
Energy Consumption and Air Quality Monitoring System
Skön Jukka-Pekka, Kauhanen Okko, Kolehmainen Mikko. Teoksessa: D. Nandagopal, M. Palaniswami, J. Gubbi(toim.) , 2011. Proceedings of the Seventh International Conference on Intelligent Sensors, Sensor Networks and Information Processing. s. 163-167. IEEE -
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 -
Prediction of microRNA targets in Caenorhabditis elegans using a self-organizing map
Heikkinen Liisa, Kolehmainen Mikko, Wong Garry. 2011. Bioinformatics. 27: 1247-1254 -
Regional Heat and Power Production from Biogas in the Most Potential Heat Production Areas
Huopana Tuomas, Niska Harri, Kolehmainen Mikko. 2011. Nordic Bioenergy 2011 - Book of Proceedings -
Sisäilman laadun ja energiankulutuksen monitorointi
Skön Jukka-Pekka, Raatikanen Mika, Kolehmainen Mikko. 2011. Rakennustaito. : 38-39 -
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 -
The Relevance of Measurement Data in Environmental Ontology Learning
Stocker Markus, Rönkkö Mauno, Villa Ferdinando, Kolehmainen Mikko. 2011. IFIP advances in information and communication technology -
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: 3538-3545 -
Energian- ja vedenkulutuksen seuranta rakennuksissa
Serkkola A, Skön J-P, Räsänen T & Kolehmainen M. 2010. Rakennustaito. : 28-29 -
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 -
Gene expression responses of paper birch to elevated CO2 and O3 during leaf maturation and senescence
Kontunen-Soppela S, Parviainen J, Ruhanen H, Brosché M, Keinänen M, Thakur RC, Kolehmainen M, Kangasjärvi J, Oksanen E, Karnosky DF et al.. 2010. -
Kulutuspalautteet asumisen energiakäytössä
Serkkola A, Skön J-P, Nyman J & Kolehmainen M. 2010. TALOTEKNIIKKA. 7: 34-36 -
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: 1076-1085 -
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: 743-750 -
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. Lecture notes in computer science. . Springer -
An experimental evaluation of ZCS-DM for the prediction of urban air quality
Tzima FA, Niska H, Kolehmainen M, Karatzas KD, Mitkas PA. Teoksessa: Athanasiadis IN, Mitkas PA, Rizzoli AE, Marx-Gómez J(toim.) , 2009. Information Technologies in Environmental Engineering. Proceedings of the 4th International ICSC Symposium. s. 291-304. -
Feature-based clustering for electricity use time series data
Räsänen T, Kolehmainen M. Teoksessa: Kolehmainen V, Toivanen P, Beliczynski B(toim.) , 2009. Adaptive and Natural Computing Algorithms - ICANNGA 2009. 9th International Conference. Proceedings. s. 401-412. Berlin: Springer -
Neural networks for estimating net ecosystem CO2 exchange using incomplete eddy covariance data
Niska H, Shurpali N, Martikainen P, Kolehmainen M. Teoksessa: Fonseca I Casas, P(toim.) , 2009. Proceedings of the 18th IASTED International Conference on Applied Simulation and Modelling. s. 112-117. -
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: 45-55 -
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: 263-284 -
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 -
Neural Network based method for predicting regional visitor attendance levels in recreational areas
Räsänen T, Kolehmainen M. Teoksessa: Sánchez-Marré M, Béjar J, Comas J, Rizzoli AE, Guariso G(toim.) , 2008. iEMSs 2008. Proceeedings of the iEMSs Fourth Biannial meeting: International congress on environmental modelling and software. s. 1118-1124. iEMSs -
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 -
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: 159-169 -
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. Teoksessa: (toim.) , 2006. Intelligent Data Engineering and Automated Learning. IDEAL 2006. 7th International Conference, Proceedings. s. 224-231. Springer -
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 -
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 -
Evolutionary design and evaluation of modeling system for forecasting urban airborne maximum pollutant concentrations
Niska H, Hiltunen T, Karppinen A, Kolehmainen M. Teoksessa: Ribeiro B, Albrecht RF, Dobnikar A, Pearson DW, Steele NC(toim.) , 2005. Adaptive and Natural Computing Algorithms. Proceedings of the International Conference. s. 181-184. Springer -
Data Exploration with Self-organizing Maps in Environmental Informatics and Bioinformatics
Kolehmainen M. 2004. Kuopion yliopiston julkaisuja C. Luonnontieteet ja ympäristötieteet -
Data and information utilisation in waste management systems
Nuortio T, van den Dool G, Hiltunen T, Matikka V, Räsänen T, Kolehmainen M. Teoksessa: Popov V, Itoh H, Brebbia CA, Kungolos S(toim.) , 2004. 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. s. Section 9. 9 s.. WITpress -
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: 159-167 -
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: 2895-2907 -
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 -
Evolving the neural network model for forecasting air pollution time series
Niska H, Kolehmainen M, Hiltunen T, Karppinen A, Ruuskanen J. Teoksessa: A.E. Ruano(toim.) , 2003. IFAC International Conference on Intelligent Control Systems and signal Processing (ICONS'03). s. 310-315. Elsevier -
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 -
Hybrid models for forecasting air pollution episodes
Niska H, Hiltunen T, Kolehmainen M, Ruuskanen J. Teoksessa: David W. Pearson, Nigel C. Steele, Rudolf F. Albrech(toim.) , 2003. Artificial Neural Nets and Cenetic Algorithms Proceedings of the International Conference. s. 80-84. Springer-Verlag -
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 -
Analysis of gene expression data using self-organizing maps
Törönen P, Kolehmainen M, Wong G, Castrén E. 1999. Febs letters. 451: 142-146