| 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 | 117 | 2010 |
| 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 | 87 | 2021 |
| 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 | 78 | 2021 |
| 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 | 70 | 2013 |
| 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 | 48 | 2018 |
| 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 | 48 | 2015 |
| 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 | 46 | 2020 |
| 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 | 29 | 2017 |
| 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 | 26 | 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 | 23 | 2018 |
| 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 | 23 | 2013 |
| Method, apparatus and computer program product for editing media content J Leppänen, A Lehtiniemi, P Saari US Patent 10,115,434, 2018 | 22 | 2018 |
| Emotions and technoethics P Saariluoma, R Rousi Emotions in technology design: From experience to ethics, 167-189, 2020 | 12 | 2020 |
| 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 | 11 | 2013 |
| MIRtoolbox 1.3. 2 O Lartillot, P Toiviainen, P Saari, T Eerola Finnish Centre of Exce, 2011 | 10 | 2011 |
| What emotions does music express? Structure of affect terms in music using iterative crowdsourcing paradigm T Eerola, P Saari PLoS One 20 (1), e0313502, 2025 | 9 | 2025 |
| 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 52 (3), 305-321, 2024 | 8 | 2024 |
| 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 | 6 | 2013 |
| Personality and musical preference using social-tagging in excerpt-selection. Psychomusicology: Music, Mind, and Brain, 27 (3), 203–212 E Carlson, P Saari, B Burger, P Toiviainen | 4 | 2017 |
| Music mood annotation using semantic computing and machine learning P Saari Jyväskylä studies in humanities, 2015 | 4 | 2015 |
Tuomas EerolaDurham University, UKVerified email at durham.ac.uk
