An Auditory Twist On Visual Search Using Head Movement Controlled Ambisonics. - Kat Agres; Spencer Topel; Michael J. Spivey; Stephen Moseson (ICMC, 2010)

An Information-Theoretic Account of Musical Expectation and Memory. - Kat Agres; Samer Abdallah; Marcus T. Pearce (CogSci, 2013)

A Computational Approach to Modelling the Perception of Pitch and Tonality in Music. - Kat Agres; Carlos Cancino; Maarten Grachten; Stefan Lattner (CogSci, 2015)

Schematic Processing as a Framework for Learning and Creativity in CBR and CC. - Kat Agres; Geraint A. Wiggins (ICCBR (Workshops), 2015)

Conceptualizing Creativity: From Distributional Semantics to Conceptual Spaces. - Kat Agres; Stephen McGregor; Matthew Purver; Geraint A. Wiggins (ICCC, 2015)

Probabilistic Segmentation of Musical Sequences Using Restricted Boltzmann Machines. - Stefan Lattner; Maarten Grachten; Kat Agres; Carlos Eduardo Cancino Chacón (MCM, 2015)

From Distributional Semantics to Conceptual Spaces: A Novel Computational Method for Concept Creation. - Stephen McGregor; Kat Agres; Matthew Purver; Geraint A. Wiggins (J. Artif. Gen. Intell., 2015)

Modeling metaphor perception with distributional semantics vector space models. - Kat R. Agres; Stephen McGregor; Karolina Rataj; Matthew Purver; Geraint A. Wiggins (C3GI@ESSLLI, 2016)

Meta4meaning: Automatic Metaphor Interpretation Using Corpus-Derived Word Associations. - Ping Xiao; Khalid Al-Najjar; Mark Granroth-Wilding; Kathleen Agres; Hannu Toivonen (ICCC, 2016)

Evaluation of Musical Creativity and Musical Metacreation Systems. - Kat Agres; Jamie Forth; Geraint A. Wiggins (Comput. Entertain., 2016)

From Bach to the Beatles: The Simulation of Human Tonal Expectation Using Ecologically-Trained Predictive Models. - Carlos Eduardo Cancino Chacón; Maarten Grachten; Kat Agres (ISMIR, 2017)

Intelligibility of Sung Lyrics: A Pilot Study. - Karim M. Ibrahim; David Grunberg; Kat Agres; Chitralekha Gupta; Ye Wang 007 (ISMIR, 2017)

Information-Theoretic Properties of Auditory Sequences Dynamically Influence Expectation and Memory. - Kat Agres; Samer Abdallah; Marcus T. Pearce (Cogn. Sci., 2018)

A novel music-based game with motion capture to support cognitive and motor function in the elderly. - Kat Agres; Simon Lui; Dorien Herremans (CoG, 2019)

Statistical Learning Ability as a Measure of Cognitive Function. - Steffen Herff; Nur Amirah Abdul Rashid; Jimmy Lee; Tih Shih Lee; Kat Agres (CogSci, 2019)

Untangling indices of emotion in music using neural networks. - Dorien Herremans; Kin Wai Cheuk; Yin-Jyun Luo; Kat Agres (CogSci, 2019)

Learning Disentangled Representations of Timbre and Pitch for Musical Instrument Sounds Using Gaussian Mixture Variational Autoencoders. - Yin-Jyun Luo; Kat Agres; Dorien Herremans (ISMIR, 2019)

A Comparative Study of Mental States in 2D and 3D Virtual Environments Using EEG. - Pinar Bilgin; Kat Agres; Neethu Robinson; Aung Aung Phyo Wai; Cuntai Guan (SMC, 2019)

Singing Voice Conversion with Disentangled Representations of Singer and Vocal Technique Using Variational Autoencoders. - Yin-Jyun Luo; Chin-Chen Hsu; Kat Agres; Dorien Herremans (CoRR, 2019)

nnAudio: An on-the-fly GPU Audio to Spectrogram Conversion Toolbox Using 1D Convolution Neural Networks. - Kin Wai Cheuk; Hans Anderson; Kat Agres; Dorien Herremans (CoRR, 2019)

Singing Voice Conversion with Disentangled Representations of Singer and Vocal Technique Using Variational Autoencoders. - Yin-Jyun Luo; Chin-Cheng Hsu; Kat Agres; Dorien Herremans (ICASSP, 2020)

The Impact of Audio Input Representations on Neural Network based Music Transcription. - Kin Wai Cheuk; Kat Agres; Dorien Herremans (IJCNN, 2020)

nnAudio: An on-the-Fly GPU Audio to Spectrogram Conversion Toolbox Using 1D Convolutional Neural Networks. - Kin Wai Cheuk; Hans Anderson; Kat Agres; Dorien Herremans (IEEE Access, 2020)

A dataset and classification model for Malay, Hindi, Tamil and Chinese music. - Fajilatun Nahar; Kat Agres; Balamurali B. T.; Dorien Herremans (CoRR, 2020)

From context to concept: exploring semantic relationships in music with word2vec. - Ching-Hua Chuan; Kat Agres; Dorien Herremans (Neural Comput. Appl., 2020)

Generating Lead Sheets with Affect: A Novel Conditional seq2seq Framework. - Dimos Makris; Kat R. Agres; Dorien Herremans (IJCNN, 2021)

Web Platform for Visualisation of Kinematic Data captured from a Motor Tele-rehabilitation System. - Praveena Satkunarajah; Kat Agres (CoRR, 2021)

Comparing Musicians and Non-musicians' Expectations in Music and Vision. - Kat Agres; Ting Yuan Tay; Marcus T. Pearce (Audio Mostly Conference, 2022)

Predicting emotion from music videos: exploring the relative contribution of visual and auditory information to affective responses. - Phoebe Chua; Dimos Makris; Dorien Herremans; Gemma Roig; Kat Agres (CoRR, 2022)

AffectMachine-Classical: A novel system for generating affective classical music. - Kat R. Agres; Adyasha Dash; Phoebe Chua (CoRR, 2023)

Virtual Reality-Assisted Physiotherapy for Visuospatial Neglect Rehabilitation: A Proof-of-Concept Study. - Andrew Danso; Patti Nijhuis; Alessandro Ansani; Martin Hartmann; Gulnara Minkkinen; Geoff Luck; Joshua S. Bamford; Sarah Faber; Kat Agres; Solange Glasser; Teppo Särkämö; Rebekah Rousi; et al. (CoRR, 2023)

MERP: A Music Dataset with Emotion Ratings and Raters' Profile Information. - Enyan Koh; Kin Wai Cheuk; Kwan Yee Heung; Kat R. Agres; Dorien Herremans (Sensors, 2023)

Editorial: New advances and novel applications of music technologies for health, well-being, and inclusion. - Emma Frid; Kjetil Falkenberg; Kat Agres; Alex Lucas (Frontiers Comput. Sci., 2024)

AI-Based Affective Music Generation Systems: A Review of Methods and Challenges. - Adyasha Dash; Kathleen Agres (ACM Comput. Surv., 2024)

AffectMachine-Pop: A controllable expert system for real-time pop music generation. - Kat R. Agres; Adyasha Dash; Phoebe Chua; Stefan K. Ehrlich (CoRR, 2025)