| 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 | 101 | 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 | 58 | 2013 |
| 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 | 36 | 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 | 28 | 2018 |
| 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 | 25 | 2021 |
| 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 | 24 | 2013 |
| 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 | 23 | 2020 |
| 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 | 22 | 2013 |
| 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 | 14 | 2017 |
| Apparatuses, methods and computer programs for controlling road user acknowledgement J Leppanen, A Lehtiniemi, P Saari, E Reponen US Patent 9,959,768, 2018 | 11 | 2018 |
| MIRtoolbox 1.3. 2 O Lartillot, P Toiviainen, P Saari, T Eerola Finnish Centre of Exce, 2011 | 11 | 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 | 10 | 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 | 8 | 2021 |
| Method, apparatus and computer program product for editing media content J Leppänen, A Lehtiniemi, P Saari US Patent 10,115,434, 2018 | 7 | 2018 |
| 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 | 4 | 2013 |
| Feature selection for classification of music according to expressed emotion P Saari | 4 | 2009 |
| Music mood annotation using semantic computing and machine learning P Saari Jyväskylä studies in humanities, 2015 | 3 | 2015 |
| Method and apparatus for processing user lactate level information M Vilermo, J Leppänen, L Laaksonen, P Saari US Patent 10,213,155, 2019 | 2 | 2019 |
| Music playing service J Leppänen, L Laaksonen, M Vilermo, P Saari US Patent App. 14/978,983, 2016 | 2 | 2016 |
| Genre-related dynamics of affects in music P Saari, T Eerola 12th International Conference on Music Perception and Cognition, 869, 2012 | 1 | 2012 |
Tuomas EerolaDurham University, UKVerified email at durham.ac.uk
