Bayesian approach to sensor-based context awareness. - Panu Korpipää; Miika Koskinen; Johannes Peltola; Satu-Marja Mäkelä; Tapio Seppänen (Pers. Ubiquitous Comput., 2003)

Forecasting the Unresponsiveness to Verbal Command on the Basis of EEG Frequency Progression During Anesthetic Induction With Propofol. - Miika Koskinen; Seppo Mustola; Tapio Seppänen (IEEE Trans. Biomed. Eng., 2006)

Monotonicity of approximate entropy during transition from awareness to unresponsiveness due to propofol anesthetic induction. - Miika Koskinen; Tapio Seppänen; Shanbao Tong; Seppo Mustola; Nitish V. Thakor (IEEE Trans. Biomed. Eng., 2006)

Removal of imaging artifacts in EEG during simultaneous EEG/fMRI recording: Reconstruction of a high-precision artifact template. - Miika Koskinen; Nuutti Vartiainen (NeuroImage, 2009)

Finding Consistencies in MEG Responses to Repeated Natural Speech. - Miika Koskinen (MLINI, 2011)

Uncovering cortical MEG responses to listened audiobook stories. - Miika Koskinen; Mika Seppä (NeuroImage, 2014)

Intersubject consistency of cortical MEG signals during movie viewing. - Kaisu Lankinen; Jukka Saari; Riitta Hari; Miika Koskinen (NeuroImage, 2014)

Consistency and similarity of MEG- and fMRI-signal time courses during movie viewing. - Kaisu Lankinen; Jukka Saari; Yevhen Hlushchuk; Pia Tikka; Lauri Parkkonen; Riitta Hari; Miika Koskinen (NeuroImage, 2018)

Latent Gaussian process with composite likelihoods for data-driven disease stratification. - Siddharth Ramchandran; Miika Koskinen; Harri Lähdesmäki (CoRR, 2019)

Longitudinal Variational Autoencoder. - Siddharth Ramchandran; Gleb Tikhonov; Miika Koskinen; Harri Lähdesmäki (CoRR, 2020)

Brain activity reflects the predictability of word sequences in listened continuous speech. - Miika Koskinen; Mikko Kurimo; Joachim Gross; Aapo Hyvärinen; Riitta Hari (NeuroImage, 2020)

Latent Gaussian process with composite likelihoods and numerical quadrature. - Siddharth Ramchandran; Miika Koskinen; Harri Lähdesmäki (AISTATS, 2021)

Longitudinal Variational Autoencoder. - Siddharth Ramchandran; Gleb Tikhonov; Kalle Kujanpää; Miika Koskinen; Harri Lähdesmäki (AISTATS, 2021)

Weak Supervision and Clustering-Based Sample Selection for Clinical Named Entity Recognition. - Wei Sun 046; Shaoxiong Ji; Tuulia Denti; Hans Moen; Oleg Kerro; Antti Rannikko; Pekka Marttinen; Miika Koskinen (ECML/PKDD (6), 2023)

Estimating treatment effects from single-arm trials via latent-variable modeling. - Manuel Haussmann; Tran Minh Son Le; Viivi Halla-aho; Samu Kurki; Jussi Leinonen; Miika Koskinen; Samuel Kaski; Harri Lähdesmäki (AISTATS, 2024)

Synergizing Data Imputation and Electronic Health Records for Advancing Prostate Cancer Research: Challenges, and Practical Applications. - Abderrahim Oussama Batouche; Eugen Czeizler; Miika Koskinen; Tuomas Mirtti; Antti Sakari Rannikko (BIOSTEC (2), 2024)

Query-Guided Self-Supervised Summarization of Nursing Notes. - Ya Gao 005; Hans Moen; Saila Koivusalo; Miika Koskinen; Pekka Marttinen (ML4H@NeurIPS, 2024)

SeqRisk: Transformer-augmented latent variable model for improved survival prediction with longitudinal data. - Mine Ögretir; Miika Koskinen; Juha Sinisalo; Risto Renkonen; Harri Lähdesmäki (CoRR, 2024)