Items where Author is "McCallum:Louis::"

McCallum, Louis and Grierson, Mick (2024) Updating maximilian.js for Modern JavaScript Live Coding. In: The International Conference on Live Coding, 30 May - 1 June 2024, Shanghai, China.

McCallum, Louis (2024) Natural Language Processing for Creatives. In: Learning To Teach Creative Technologies with Generative AI, 19 January 2024, NYU. Item not available online.

McCallum, Louis and Grierson, Mick and Yee-King, Matthew and Kiefer, Chris (2022) Deep Melt. [Performance]

Vigliensoni, Gabriel and McCallum, Louis and Maestre, Esteban and Fiebrink, Rebecca (2022) R-VAE: Live latent space drum rhythm generation from minimal-size datasets. Journal of Creative Music Systems, 1 (1). ISSN 2399-7656

Yee-King, Matthew and McCallum, Louis (2021) Studio report: sound synthesis with DDSP and network bending techniques. In: 2nd Conference on AI Music Creativity (MuMe + CSMC) Proceedings. AIMC. ISBN 978-3-200-08272-4

McCallum, Louis and Fiebrink, Rebecca (2020) The challenge of feature engineering in programming for moving bodies. In: NordiCHI '20 Workshop on Programming for Moving Bodies, 26 October 2020, Online.

Vigliensoni, Gabriel and McCallum, Louis and Maestre, Esteban and Fiebrink, Rebecca (2020) Generation and visualization of rhythmic latent spaces. In: The 2020 Joint Conference on AI Music Creativity, 19-23 October 2020.

McCallum, Louis and Yee-King, Matthew (2020) Network Bending Neural Vocoders. Proceedings NeurIPS 2020 Machine Learning for Creativity and Design Workshop.

Vigliensoni, Gabriel and McCallum, Louis and Fiebrink, Rebecca (2020) Creating Latent Spaces for Modern Music Genre Rhythms Using Minimal Training Data. In: International Conference on Computational Creativity (ICCC), 7-11 September 2020.

Yee-King, Matthew and McCallum, Louis and llano, Maria and Růžička, Vít and d'Inverno, Mark and Grierson, Mick (2020) Examining Student Coding Behaviours in Creative Computing Lessons using Abstract Syntax Trees and Vocabulary Analysis. In: ITiCSE '20: Proceedings of the 2020 ACM Conference on Innovation and Technology in Computer Science Education. Association for Computing Machinery. ISBN 978-1-4503-6874-2

Grierson, Mick and Yee-King, Matthew and McCallum, Louis and Kiefer, Chris and Zbyszynski, Michael (2019) Contemporary Machine Learning for Audio and Music Generation on the Web: Current Challenges and Potential Solutions. In: International Computer Music Conference, 16-23 June 2019, New York.

Cunningham, Darren and McCallum, Louis (2019) Actress x Stockhausen Sin {x} II. [Performance] Item not available online.

McCallum, Louis and Fiebrink, Rebecca (2019) Supporting Feature Engineering in End-User Machine Learning. In: CHI 2019 Workshop on Emerging Perspectives in Human-Centered Machine Learning, 4 May 2019, Glasgow, Scotland.

Cunningham, Darren and McCallum, Louis (2019) Actress + Young Paint Live AI/AV. [Performance] Item not available online.

McCallum, Louis and Mcowan, Peter (2017) Extending Human-Robot Relationships Based in Music with Virtual Presence. IEEE Transactions on Cognitive and Developmental Systems, 10 (4). pp. 955-960. ISSN 2379-8939

McCallum, Louis and Mcowan, Peter (2015) Face the Music and Glance: How Nonverbal Behaviour Improves Human-Robot Relationships Based in Music. In: Proceedings of the Tenth Annual ACM/IEEE International Conference on Human-Robot Interaction. Association for Computing Machinery, pp. 237-244. ISBN 978-1-4503-3318-4

McCallum, Louis (2015) Friend Me Your Ears: A Musical Approach to Human-Robot Relationships. PhD thesis, Queen Mary University of London. Item not available online.

McCallum, Louis and McOwan, Peter (2014) Shut Up and Play: A Musical Approach to Engagement and Social Presence in Human Robot Interaction. Proceedings The 23rd IEEE International Symposium on Robot and Human Interactive Communication.