A review of user interface design for interactive machine learning

JJ Dudley, PO Kristensson - ACM Transactions on Interactive Intelligent …, 2018 - dl.acm.org
Interactive Machine Learning (IML) seeks to complement human perception and intelligence
by tightly integrating these strengths with the computational power and speed of computers …

[BOOK][B] Artificial intelligence and games

GN Yannakakis, J Togelius - 2018 - Springer
Georgios N. Yannakakis Julian Togelius Page 1 Artificial Intelligence and Games Georgios N.
Yannakakis Julian Togelius Page 2 Artificial Intelligence and Games Page 3 Georgios N …

Principles of explanatory debugging to personalize interactive machine learning

T Kulesza, M Burnett, WK Wong, S Stumpf - Proceedings of the 20th …, 2015 - dl.acm.org
How can end users efficiently influence the predictions that machine learning systems make
on their behalf? This paper presents Explanatory Debugging, an approach in which the …

[BOOK][B] Audio source separation and speech enhancement

E Vincent, T Virtanen, S Gannot - 2018 - books.google.com
Learn the technology behind hearing aids, Siri, and Echo Audio source separation and
speech enhancement aim to extract one or more source signals of interest from an audio …

Ratings are overrated!

GN Yannakakis, HP Martínez - Frontiers in ICT, 2015 - frontiersin.org
Are ratings of any use in human–computer interaction and user studies at large? If ratings
are of limited use, is there a better alternative for quantitative subjective assessment …

Trials and tribulations of developers of intelligent systems: A field study

C Hill, R Bellamy, T Erickson… - 2016 IEEE symposium on …, 2016 - ieeexplore.ieee.org
Intelligent systems are gaining in popularity and receiving increased media attention, but
little is known about how people actually go about develo** them. In this paper, we …

Onelabeler: A flexible system for building data labeling tools

Y Zhang, Y Wang, H Zhang, B Zhu, S Chen… - Proceedings of the 2022 …, 2022 - dl.acm.org
Labeled datasets are essential for supervised machine learning. Various data labeling tools
have been built to collect labels in different usage scenarios. However, develo** labeling …

A human-in-the-loop system for sound event detection and annotation

B Kim, B Pardo - ACM Transactions on Interactive Intelligent Systems …, 2018 - dl.acm.org
Labeling of audio events is essential for many tasks. However, finding sound events and
labeling them within a long audio file is tedious and time-consuming. In cases where there is …

Music interfaces based on automatic music signal analysis: new ways to create and listen to music

M Goto, RB Dannenberg - IEEE Signal Processing Magazine, 2018 - ieeexplore.ieee.org
Music analysis based on signal processing offers new ways of creating and listening to
music. This article focuses on applications and interfaces that are enabled by advances in …

Evaluation of interactive machine learning systems

N Boukhelifa, A Bezerianos, E Lutton - Human and machine learning …, 2018 - Springer
The evaluation of interactive machine learning systems remains a difficult task. These
systems learn from and adapt to the human, but at the same time, the human receives …