Hybrid Models for Forecasting Air Pollution Episodes. - Harri Niska; Teri Hiltunen; Mikko Kolehmainen; Juhani Ruuskanen (ICANNGA, 2003)

Self-organizing maps and Sammon's mapping in environmental informatics and bioinformatics. - Mikko Kolehmainen; Teri Hiltunen; Harri Niska (EnviroInfo (1), 2004)

Evolving the neural network model for forecasting air pollution time series. - Harri Niska; Teri Hiltunen; Ari Karppinen; Juhani Ruuskanen; Mikko Kolehmainen (Eng. Appl. Artif. Intell., 2004)

Genetic Algorithms and Sensitivity Analysis Applied to Select Inputs of a Multi-Layer Perceptron for the Prediction of Air Pollutant Time-Series. - Harri Niska; Mikko Heikkinen; Mikko Kolehmainen (IDEAL, 2006)

Improved route planning and scheduling of waste collection and transport. - Teemu Nuortio; Jari Kytöjoki; Harri Niska; Olli Bräysy (Expert Syst. Appl., 2006)

An experimental evaluation of ZCS-DM for the prediction of urban air quality. - Fani A. Tzima; Harri Niska; Mikko Kolehmainen; Kostas D. Karatzas; Pericles A. Mitkas (ITEE, 2009)

Neural Networks for the Prediction of Species-Specific Plot Volumes Using Airborne Laser Scanning and Aerial Photographs. - Harri Niska; Jukka-Pekka Skon; Petteri Packalen; Timo Tokola; Matti Maltamo; Mikko Kolehmainen (IEEE Trans. Geosci. Remote. Sens., 2010)

Extracting controllable heating loads from aggregated smart meter data using clustering and predictive modelling. - Harri Niska (ISSNIP, 2013)

Computer-assisted image analysis of histopathological breast cancer images using step-DTOCS. - Tiia Ikonen; Harri Niska; Billy Braithwaite; Irene Pöllänen; Keijo Haataja; Pekka J. Toivanen; Teemu Tolonen; Jorma Isola (HIS, 2014)

Computer-aided breast cancer histopathological diagnosis: Comparative analysis of three DTOCS-based features: SW-DTOCS, SW-WDTOCS and SW-3-4-DTOCS. - Irene Pöllänen; Billy Braithwaite; Tiia Ikonen; Harri Niska; Keijo Haataja; Pekka J. Toivanen; Teemu Tolonen (IPTA, 2014)

Data-driven method for providing feedback to households on electricity consumption. - Matti Mononen; Jukka Saarenpaa; Markus Johansson; Harri Niska (ISSNIP, 2014)

A data mining approach for producing small area statistics-based load profiles for distribution network planning. - Jukka Saarenpaa; Mikko Kolehmainen; Matti Mononen; Harri Niska (ICIT, 2015)

Optimized curve design for image analysis using localized geodesic distance transformations. - Billy Braithwaite; Harri Niska; Irene Pöllänen; Tiia Ikonen; Keijo Haataja; Pekka J. Toivanen; Teemu Tolonen (Image Processing: Algorithms and Systems, 2015)

Monetary impact of dynamic pricing and demand response on households: The winners and losers. - Matti Mononen; Jukka Saarenpaa; Mikko Kolehmainen; Harri Niska; Antti Rautiainen (ISGT, 2015)

Evolving smart meter data driven model for short-term forecasting of electric loads. - Harri Niska; Pekka Koponen; Antti Mutanen (ISSNIP, 2015)

Hybrid model for short-term forecasting of loads and load control responses. - Pekka Koponen; Harri Niska (ISGT Europe, 2016)

Identifying socio-demographically favourable area types for early hybrid electric vehicle adoption through mining of public sector data. - Jukka Saarenpää; Mikko Kolehmainen; Harri Niska (Intell. Data Anal., 2016)

Mitigating the Weaknesses of Machine Learning in Short-Term Forecasting of Aggregated Power System Active Loads. - Pekka Koponen; Harri Niska; Antti Mutanen (INDIN, 2019)

Weather-based Fault Prediction in Electricity Networks with Artificial Neural Networks. - Christina Brester; Harri Niska; Robert Ciszek; Mikko Kolehmainen (CEC, 2020)

Weather-Driven Predictive Control of a Battery Storage for Improved Microgrid Resilience. - Daniel Gutierrez-Rojas; Aleksei Mashlakov; Christina Brester; Harri Niska; Mikko Kolehmainen; Arun Narayanan; Samuli Honkapuro; Pedro H. J. Nardelli (IEEE Access, 2021)