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Kat Agres
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2020 – today
- 2024
- [j8]Adyasha Dash
, Kathleen Agres
AI-Based Affective Music Generation Systems: A Review of Methods and Challenges. ACM Comput. Surv. 56(11): 287:1-287:34 (2024) - [j7]Emma Frid, Kjetil Falkenberg, Kat Agres, Alex Lucas:
Editorial: New advances and novel applications of music technologies for health, well-being, and inclusion. Frontiers Comput. Sci. 6 (2024) - 2023
- [j6]Enyan Koh, Kin Wai Cheuk
MERP: A Music Dataset with Emotion Ratings and Raters' Profile Information. Sensors 23(1): 382 (2023) - [i14]Adyasha Dash
AI-Based Affective Music Generation Systems: A Review of Methods, and Challenges. CoRR abs/2301.06890 (2023) - [i13]Kat R. Agres, Adyasha Dash, Phoebe Chua:
AffectMachine-Classical: A novel system for generating affective classical music. CoRR abs/2304.04915 (2023) - [i12]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, Marc R. Thompson:
Virtual Reality-Assisted Physiotherapy for Visuospatial Neglect Rehabilitation: A Proof-of-Concept Study. CoRR abs/2312.12399 (2023) - 2022
- [c19]Kat Agres, Ting Yuan Tay, Marcus T. Pearce
Comparing Musicians and Non-musicians' Expectations in Music and Vision. Audio Mostly Conference 2022: 74-79 - [i11]Phoebe Chua, Dimos Makris, Dorien Herremans, Gemma Roig, Kat Agres:
Predicting emotion from music videos: exploring the relative contribution of visual and auditory information to affective responses. CoRR abs/2202.10453 (2022) - 2021
- [c18]Dimos Makris, Kat R. Agres, Dorien Herremans:
Generating Lead Sheets with Affect: A Novel Conditional seq2seq Framework. IJCNN 2021: 1-8 - [i10]Dimos Makris, Kat R. Agres, Dorien Herremans
Generating Lead Sheets with Affect: A Novel Conditional seq2seq Framework. CoRR abs/2104.13056 (2021) - [i9]Praveena Satkunarajah, Kat Agres:
Web Platform for Visualisation of Kinematic Data captured from a Motor Tele-rehabilitation System. CoRR abs/2112.05118 (2021) - 2020
- [j5]Kin Wai Cheuk
nnAudio: An on-the-Fly GPU Audio to Spectrogram Conversion Toolbox Using 1D Convolutional Neural Networks. IEEE Access 8: 161981-162003 (2020) - [j4]Ching-Hua Chuan
From context to concept: exploring semantic relationships in music with word2vec. Neural Comput. Appl. 32(4): 1023-1036 (2020) - [c17]Yin-Jyun Luo, Chin-Cheng Hsu, Kat Agres, Dorien Herremans
Singing Voice Conversion with Disentangled Representations of Singer and Vocal Technique Using Variational Autoencoders. ICASSP 2020: 3277-3281 - [c16]Kin Wai Cheuk, Kat Agres, Dorien Herremans
The Impact of Audio Input Representations on Neural Network based Music Transcription. IJCNN 2020: 1-6 - [i8]Kin Wai Cheuk, Kat Agres, Dorien Herremans
The impact of Audio input representations on neural network based music transcription. CoRR abs/2001.09989 (2020) - [i7]Fajilatun Nahar, Kat Agres, Balamurali B. T., Dorien Herremans
A dataset and classification model for Malay, Hindi, Tamil and Chinese music. CoRR abs/2009.04459 (2020)
2010 – 2019
- 2019
- [c15]Kat Agres, Simon Lui, Dorien Herremans
A novel music-based game with motion capture to support cognitive and motor function in the elderly. CoG 2019: 1-4 - [c14]Steffen Herff, Nur Amirah Abdul Rashid, Jimmy Lee, Tih Shih Lee, Kat Agres:
Statistical Learning Ability as a Measure of Cognitive Function. CogSci 2019: 3280 - [c13]Dorien Herremans, Kin Wai Cheuk, Yin-Jyun Luo, Kat Agres:
Untangling indices of emotion in music using neural networks. CogSci 2019: 3476 - [c12]Yin-Jyun Luo, Kat Agres, Dorien Herremans:
Learning Disentangled Representations of Timbre and Pitch for Musical Instrument Sounds Using Gaussian Mixture Variational Autoencoders. ISMIR 2019: 746-753 - [c11]Pinar Bilgin, Kat Agres, Neethu Robinson, Aung Aung Phyo Wai, Cuntai Guan
A Comparative Study of Mental States in 2D and 3D Virtual Environments Using EEG. SMC 2019: 2833-2838 - [i6]Yin-Jyun Luo, Kat Agres, Dorien Herremans
Learning Disentangled Representations of Timbre and Pitch for Musical Instrument Sounds Using Gaussian Mixture Variational Autoencoders. CoRR abs/1906.08152 (2019) - [i5]Kat Agres, Simon Lui, Dorien Herremans
A novel music-based game with motion capture to support cognitive and motor function in the elderly. CoRR abs/1906.10428 (2019) - [i4]Yin-Jyun Luo, Chin-Chen Hsu, Kat Agres, Dorien Herremans
Singing Voice Conversion with Disentangled Representations of Singer and Vocal Technique Using Variational Autoencoders. CoRR abs/1912.02613 (2019) - [i3]Kin Wai Cheuk, Hans Anderson, Kat Agres, Dorien Herremans
nnAudio: An on-the-fly GPU Audio to Spectrogram Conversion Toolbox Using 1D Convolution Neural Networks. CoRR abs/1912.12055 (2019) - 2018
- [j3]Kat Agres
Information-Theoretic Properties of Auditory Sequences Dynamically Influence Expectation and Memory. Cogn. Sci. 42(1): 43-76 (2018) - [i2]Ching-Hua Chuan, Kat Agres, Dorien Herremans
From Context to Concept: Exploring Semantic Relationships in Music with Word2Vec. CoRR abs/1811.12408 (2018) - 2017
- [c10]Carlos Eduardo Cancino Chacón, Maarten Grachten, Kat Agres:
From Bach to the Beatles: The Simulation of Human Tonal Expectation Using Ecologically-Trained Predictive Models. ISMIR 2017: 494-501 - [c9]Karim M. Ibrahim, David Grunberg, Kat Agres, Chitralekha Gupta, Ye Wang:
Intelligibility of Sung Lyrics: A Pilot Study. ISMIR 2017: 686-693 - [i1]Carlos Eduardo Cancino Chacón, Maarten Grachten, Kat Agres:
From Bach to the Beatles: The simulation of human tonal expectation using ecologically-trained predictive models. CoRR abs/1707.06231 (2017) - 2016
- [j2]Kat Agres
Evaluation of Musical Creativity and Musical Metacreation Systems. Comput. Entertain. 14(3): 3:1-3:33 (2016) - [c8]Kat R. Agres, Stephen McGregor, Karolina Rataj, Matthew Purver, Geraint A. Wiggins:
Modeling metaphor perception with distributional semantics vector space models. C3GI@ESSLLI 2016 - [c7]Ping Xiao, Khalid Al-Najjar, Mark Granroth-Wilding, Kathleen Agres, Hannu Toivonen:
Meta4meaning: Automatic Metaphor Interpretation Using Corpus-Derived Word Associations. ICCC 2016: 230-237 - 2015
- [j1]Stephen McGregor, Kat Agres, Matthew Purver
From Distributional Semantics to Conceptual Spaces: A Novel Computational Method for Concept Creation. J. Artif. Gen. Intell. 6(1): 55-86 (2015) - [c6]Kat Agres, Carlos Cancino, Maarten Grachten, Stefan Lattner:
A Computational Approach to Modelling the Perception of Pitch and Tonality in Music. CogSci 2015 - [c5]Kat Agres, Geraint A. Wiggins:
Schematic Processing as a Framework for Learning and Creativity in CBR and CC. ICCBR (Workshops) 2015: 151-155 - [c4]Kat Agres, Stephen McGregor, Matthew Purver, Geraint A. Wiggins:
Conceptualizing Creativity: From Distributional Semantics to Conceptual Spaces. ICCC 2015: 118-125 - [c3]Stefan Lattner, Maarten Grachten, Kat Agres
Probabilistic Segmentation of Musical Sequences Using Restricted Boltzmann Machines. MCM 2015: 323-334 - 2013
- [c2]Kat Agres, Samer Abdallah, Marcus T. Pearce:
An Information-Theoretic Account of Musical Expectation and Memory. CogSci 2013 - 2010
- [c1]Kat Agres, Spencer Topel, Michael J. Spivey, Stephen Moseson:
An Auditory Twist On Visual Search Using Head Movement Controlled Ambisonics. ICMC 2010
Coauthor Index
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