| Supervised machine learning for audio emotion recognition: Enhancing film sound design using audio features, regression models and artificial neural networks S Cunningham, H Ridley, J Weinel, R Picking Personal and Ubiquitous Computing 25 (4), 637-650, 2021 | 50 | 2021 |
| Saturday night or fever? context-aware music playlists S Cunningham, S Caulder, V Grout Proc. Audio Mostly, 2008 | 50 | 2008 |
| Identification of perceptual qualities in textural sounds using the repertory grid method T Grill, A Flexer, S Cunningham Proceedings of the 6th audio mostly conference: a conference on interaction …, 2011 | 44 | 2011 |
| Robot companion cats for people at home with dementia: A qualitative case study on companotics J Pike, R Picking, S Cunningham Dementia 20 (4), 1300-1318, 2021 | 30 | 2021 |
| Assessing wellbeing in people living with dementia using reminiscence music with a mobile app (memory tracks): A mixed methods cohort study S Cunningham, M Brill, JH Whalley, R Read, G Anderson, S Edwards, ... Journal of Healthcare Engineering 2019 (1), 8924273, 2019 | 28 | 2019 |
| Computer game audio: the unappreciated scholar of the half-life generation S Cunningham, V Grout, R Hebblewhite Audio-Mostly 2006, 2006 | 25 | 2006 |
| Emerging technologies in education for sustainable development A Sung, K Leong, S Cunningham Springer Nature, 2020 | 20 | 2020 |
| Emotion, content, and context in sound and music S Cunningham, V Grout, R Picking Game sound technology and player interaction: Concepts and developments, 235-263, 2011 | 20 | 2011 |
| Applying personal construct psychology in sound design using a repertory grid S Cunningham Proceedings of the 5th Audio Mostly Conference: A Conference on Interaction …, 2010 | 20 | 2010 |
| Easter eggs: Hidden tracks and messages in musical mediums J Weinel, D Griffiths, S Cunningham | 17 | 2014 |
| Review of air traffic management systems for UAV integration into urban airspace L Davies, Y Vagapov, V Grout, S Cunningham, A Anuchin 2021 28th International Workshop on Electric Drives: Improving Reliability …, 2021 | 16 | 2021 |
| Sound through the rabbit hole: sound design based on reports of auditory hallucination J Weinel, S Cunningham, D Griffiths Proceedings of the 9th Audio Mostly: A Conference on Interaction with Sound, 1-8, 2014 | 16 | 2014 |
| Suitability of musicxml as a format for computer music notation and interchange S Cunningham Proceedings of IADIS Applied Computing 2004 International Conference, Lisbon …, 2004 | 16 | 2004 |
| Deep subjectivity and empathy in virtual reality: a case study on the autism TMI virtual reality experience J Weinel, S Cunningham, J Pickles New Directions in Third Wave Human-Computer Interaction: Volume 1 …, 2018 | 15 | 2018 |
| EEG as a controller for psychedelic visual music in an immersive dome environment J Weinel, S Cunningham, N Roberts, S Roberts, D Griffiths EVA London 2014: Electronic Visualisation & the Arts, 2014 | 15 | 2014 |
| A multi-genre model for music emotion recognition using linear regressors D Griffiths, S Cunningham, J Weinel, R Picking Journal of New Music Research 50 (4), 355-372, 2021 | 14 | 2021 |
| Quake delirium EEG J Weinel, S Cunningham, N Roberts, D Griffiths, S Roberts 2015 Internet Technologies and Applications (ITA), 335-338, 2015 | 13 | 2015 |
| Audio emotion recognition using machine learning to support sound design S Cunningham, H Ridley, J Weinel, R Picking Proceedings of the 14th International Audio Mostly Conference: A Journey in …, 2019 | 12 | 2019 |
| Application of formal grammar in text mining and construction of an ontology A Kanev, S Cunningham, T Valery 2017 Internet Technologies and Applications (ITA), 53-57, 2017 | 12 | 2017 |
| High-level analysis of audio features for identifying emotional valence in human singing S Cunningham, J Weinel, R Picking Proceedings of the Audio Mostly 2018 on Sound in Immersion and Emotion, 1-4, 2018 | 11 | 2018 |
Jonathan WeinelUniversity of Greenwich在 greenwich.ac.uk 的电子邮件经过验证
