Pasi Saari
Cited by
Cited by
Generalizability and simplicity as criteria in feature selection: Application to mood classification in music
P Saari, T Eerola, O Lartillot
IEEE Transactions on audio, speech, and language processing 19 (6), 1802-1812, 2010
Semantic computing of moods based on tags in social media of music
P Saari, T Eerola
IEEE Transactions on Knowledge and Data Engineering 26 (10), 2548-2560, 2013
Method, apparatus and computer program for displaying an image of a real world object in a virtual reality enviroment
JA Leppanen, P Saari, E Reponen, AJ Lehtiniemi
US Patent 10,916,057, 2021
Genre-adaptive semantic computing and audio-based modelling for music mood annotation
P Saari, G Fazekas, T Eerola, M Barthet, O Lartillot, M Sandler
IEEE Transactions on Affective Computing 7 (2), 122-135, 2015
Decoding musical training from dynamic processing of musical features in the brain
P Saari, I Burunat, E Brattico, P Toiviainen
Scientific reports 8 (1), 708, 2018
Dance to your own drum: Identification of musical genre and individual dancer from motion capture using machine learning
E Carlson, P Saari, B Burger, P Toiviainen
Journal of New Music Research 49 (2), 162-177, 2020
Semantic models of musical mood: Comparison between crowd-sourced and curated editorial tags
P Saari, M Barthet, G Fazekas, T Eerola, M Sandler
2013 IEEE International Conference on Multimedia and Expo Workshops (ICMEW), 1-6, 2013
What makes music memorable? Relationships between acoustic musical features and music-evoked emotions and memories in older adults
I Salakka, A Pitkäniemi, E Pentikäinen, K Mikkonen, P Saari, P Toiviainen, ...
PloS one 16 (5), e0251692, 2021
The Role of Audio and Tags in Music Mood Prediction: A Study Using Semantic Layer Projection.
P Saari, T Eerola, G Fazekas, M Barthet, O Lartillot, MB Sandler
ISMIR, 201-206, 2013
Apparatuses, methods and computer programs for controlling road user acknowledgement
J Leppanen, A Lehtiniemi, P Saari, E Reponen
US Patent 9,959,768, 2018
Personality and musical preference using social-tagging in excerpt-selection.
E Carlson, P Saari, B Burger, P Toiviainen
Psychomusicology: Music, Mind, and Brain 27 (3), 203, 2017
MIRtoolbox 1.3. 2
O Lartillot, P Toiviainen, P Saari, T Eerola
Finnish Centre of Exce, 2011
Using semantic layer projection for enhancing music mood prediction with audio features
P Saari, T Eerola, G Fazekas, M Sandler
Sound and Music Computing Conference, Stockholm, Sweden, 2013
Comparing timbre-based features for musical genre classification
M Hartmann, P Saari, P Toiviainen, O Lartillot
Proceedings of the Sound and Music Computing Conference SMC, 2013
Feature selection for classification of music according to expressed emotion
P Saari
Music mood annotation using semantic computing and machine learning
P Saari
Jyväskylä studies in humanities, 2015
Method and apparatus for processing user lactate level information
M Vilermo, J Leppänen, L Laaksonen, P Saari
US Patent 10,213,155, 2019
Music playing service
J Leppänen, L Laaksonen, M Vilermo, P Saari
US Patent App. 14/978,983, 2016
Emotional and musical factors combined with song-specific age predict the subjective autobiographical saliency of music in older adults
I Salakka, A Pitkäniemi, E Pentikäinen, P Saari, P Toiviainen, T Särkämö
Psychology of Music, 03057356231186961, 2023
Method, apparatus and computer program product for editing media content
J Leppänen, A Lehtiniemi, P Saari
US Patent 10,115,434, 2018
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