Software Security Considerations for IoT. - Aki Koivu; Lauri Koivunen; Shohreh Hosseinzadeh; Samuel Laurén; Sami Hyrynsalmi; Sampsa Rauti; Ville Leppänen (iThings/GreenCom/CPSCom/SmartData, 2016)

Evaluation of machine learning algorithms for improved risk assessment for Down's syndrome. - Aki Koivu; Teemu Korpimäki; Petri Kivelä; Tapio Pahikkala; Mikko Sairanen (Comput. Biol. Medicine, 2018)

Predicting risk of stillbirth and preterm pregnancies with machine learning. - Aki Koivu; Mikko Sairanen (Health Inf. Sci. Syst., 2020)

Synthetic minority oversampling of vital statistics data with generative adversarial networks. - Aki Koivu; Mikko Sairanen; Antti Airola; Tapio Pahikkala (J. Am. Medical Informatics Assoc., 2020)

Adaptive risk prediction system with incremental and transfer learning. - Aki Koivu; Mikko Sairanen; Antti Airola; Tapio Pahikkala; Wing-cheong Leung; Tsz-kin Lo; Daljit Singh Sahota (Comput. Biol. Medicine, 2021)

Synthetization, Distortion, and Geometric Correction of Isoelectric Focusing Gels for Newborn Screening. - Santeri Mäntyniemi; Eero Lehtonen; Aki Koivu (IEEE Access, 2022)

Quality of randomness and node dropout regularization for fitting neural networks. - Aki Koivu; Joona-Pekko Kakko; Santeri Mäntyniemi; Mikko Sairanen (Expert Syst. Appl., 2022)