A review of recent deep learning approaches in human-centered machine learning

T Kaluarachchi, A Reis, S Nanayakkara - Sensors, 2021 - mdpi.com
After Deep Learning (DL) regained popularity recently, the Artificial Intelligence (AI) or
Machine Learning (ML) field is undergoing rapid growth concerning research and real-world …

ChatGPT and consumers: Benefits, pitfalls and future research agenda

J Paul, A Ueno, C Dennis - International Journal of Consumer …, 2023 - Wiley Online Library
The need of the hour is to encourage research on topics with newness and novelty. In this
context, this article discusses multidimensional benefits and potential pitfalls of using …

Machine learning education for artists, musicians, and other creative practitioners

R Fiebrink - ACM Transactions on Computing Education (TOCE), 2019 - dl.acm.org
This article aims to lay a foundation for the research and practice of machine learning
education for creative practitioners. It begins by arguing that it is important to teach machine …

What the hack?–towards a taxonomy of hackathons

C Kollwitz, B Dinter - … : 17th International Conference, BPM 2019, Vienna …, 2019 - Springer
In order to master the digital transformation and to survive in global competition, companies
face the challenge of improving transformation processes, such as innovation processes …

Designing and evaluating the usability of a machine learning API for rapid prototyping music technology

F Bernardo, M Zbyszyński, M Grierson… - Frontiers in artificial …, 2020 - frontiersin.org
To better support creative software developers and music technologists' needs, and to
empower them as machine learning users and innovators, the usability of and developer …

A signal engine for a live coding language ecosystem

F Bernardo, C Kiefer, T Magnusson - Journal of the Audio Engineering …, 2020 - aes.org
This paper reports on early advances in the design of a browser-based ecosystem for
creating new live coding languages, optimal for audio synthesis, machine learning, and …

Evaluation on interactive waiting experience design of mobile internet products based on machine learning

Y Yu - Scientific Reports, 2023 - nature.com
In today's rapidly changing economy, efficient lifestyle has become the current situation of
most mobile product users. With the development of performance tools and technologies, a …

[PDF][PDF] Supporting Interactive Machine Learning Approaches to Building Musical Instruments in the Browser.

L McCallum, M Grierson - NIME, 2020 - nime.org
Interactive machine learning (IML) is an approach to building interactive systems, including
DMIs, focusing on iterative end-user data provision and direct evaluation. This paper …

An AudioWorklet-based signal engine for a live coding language ecosystem

F Bernardo, C Kiefer, T Magnusson - 2019 - sussex.figshare.com
This paper reports on early advances in the design of an ecosystem for creating new live
coding languages, optimal for audio synthesis, machine learning and machine listening. We …

[PDF][PDF] 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… - 2019 - ualresearchonline.arts.ac.uk
We evaluate specific Web-based technologies that can be used to implement complex
contemporary Machine Learning systems for Computer Music research, in particular for the …