| Creating Latent Spaces for Modern Music Genre Rhythms Using Minimal Training Data G Vigliensoni, L McCallum, R Fiebrink Proceedings of ICCC 2020, 2020 | 15 | 2020 |
| Face the music and glance: How nonverbal behaviour aids human robot relationships based in music L McCallum, PW McOwan Proceedings of the Tenth Annual ACM/IEEE International Conference on Human …, 2015 | 12 | 2015 |
| Shut up and play: A musical approach to engagement and social presence in Human Robot Interaction L McCallum, PW McOwan The 23rd IEEE International Symposium on Robot and Human Interactive …, 2014 | 8 | 2014 |
| Supporting interactive machine learning approaches to building musical instruments in the browser L McCallum, MS Grierson Proceedings of the International Conference on New Interfaces for Musical …, 2020 | 6 | 2020 |
| Contemporary machine learning for audio and music generation on the web: current challenges and potential solutions M Grierson, M Yee-King, L McCallum, C Kiefer, M Zbyszynski | 6 | 2019 |
| Show us your screens [Video] L McCallum, D Smith Computer Music Jounral, 2011 | 5* | 2011 |
| Studio report: Sound synthesis with DDSP and network bending techniques M Yee-King, L McCallum Goldsmiths, University of London, 2021 | 4 | 2021 |
| Network Bending Neural Vocoders L McCallum, M Yee-King Proceedings of Machine Learning for Creativity and Design Workshop, NeurIPS 2020, 2020 | 3 | 2020 |
| R-VAE: Live latent space drum rhythm generation from minimal-size datasets G Vigliensoni, L McCallum, E Maestre, R Fiebrink Journal of Creative Music Systems 1 (1), 2022 | 2 | 2022 |
| Examining Student Coding Behaviours in Creative Computing Lessons using Abstract Syntax Trees and Vocabulary Analysis M Yee-King, L McCallum, MT Llano, V Ruzicka, M d'Inverno, M Grierson Proceedings of the 2020 ACM Conference on Innovation and Technology in …, 2020 | 2 | 2020 |
| Extending Human–Robot Relationships Based in Music With Virtual Presence L McCallum, PW McOwan IEEE Transactions on Cognitive and Developmental Systems 10 (4), 955-960, 2017 | 2 | 2017 |
| Executive Order M Grierson, M Yee-King, L McCallum NIME 2021, 2021 | 1 | 2021 |
| Generation and visualization of rhythmic latent spaces G Vigliensoni, L McCallum, E Maestre, R Fiebrink Proceedings of AI Music Conference 2020, 2020 | 1 | 2020 |
| Supporting Feature Engineering in End-User Machine Learning L McCallum, R Fiebrink Emerging Perspectives in Machine Learning Workshop, CHI 2019, 2019 | 1 | 2019 |
| Deep Melt L McCallum, M Grierson, M Yee-King, C Kiefer | | 2022 |
| Contemporary music genre rhythm generation with machine learning G Vigliensoni, L McCallum, E Maestre, R Fiebrink Journal of Creative Music Systems 1 (1), 2022 | | 2022 |
| The challenge of feature engineering in programming for moving bodies L McCallum, R Fiebrink NordiCHI ’20 Workshop on Programming for Moving Bodies, 2020 | | 2020 |
| Actress x Stockhausen Sin {x} II D Cunningham, L McCallum | | 2019 |
| Actress+ Young Paint Live AI/AV D Cunningham, L McCallum | | 2019 |
| Friend Me Your Ears: A Musical Approach to Human-Robot Relationships. L McCallum Queen Mary University of London, 2016 | | 2016 |
Rebecca FiebrinkProfessor, Creative Computing Institute, University of the Arts LondonVerified email at arts.ac.uk
