Publications

Export 45 results:
[ Author(Desc)] Title Type Year
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z 
A
Agres K, Herremans D, Bigo L, Conklin D.  2017.  Harmonic Structure Predicts the Enjoyment of Uplifting Trance Music. Frontiers in Psychology. 7:1999. (1.15 MB)
Agres KR.  2020.  Developing Music Technology for Emotion Regulation and Motor Rehabilitation. Proceedings of the 16th WFMT World Congress of Music Therapy.  (67.56 KB)
Agres KR, McGregor S, Rataj K, Purver M, Wiggins GA.  2016.  Modeling metaphor perception with distributional semantics vector space models. Workshop on Computational Creativity, Concept Invention, and General Intelligence.  (295.07 KB)
Agres K, Herremans D.  2017.  Music and Motion-Detection: A Game Prototype for Rehabilitation and Strengthening in the Elderly. IEEE International Conference on Orange Technologies (ICOT 2017).  (1.77 MB)
Agres KR, Krumhansl CL.  2008.  Musical change deafness: The inability to detect change in a non-speech auditory domain. In B. C. Love, K. McRae, & V. M. Sloutsky (Eds.), Proceedings of the 30th Annual Conference of the Cognitive Science Society (pp. 969-974).  (352.36 KB)
Agres K, Wiggins GA.  2015.  Schematic processing as a framework for learning and creativity in CBR and CC. Proceedings of the 23rd International Conference on Case-Based Reasoning. :151-155. (112.03 KB)
Agres K, Forth J, Wiggins GA.  2016.  Evaluation of Musical Creativity and Musical Metacreation Systems. ACM Comput. Entertain.. 14(3):3:1–3:33. (393.86 KB)
Agres K, Abdallah S, Pearce M.  2013.  An information-theoretic account of musical expectation and memory. Proceedings of the 35th Annual Conference of the Cognitive Science Society.  (422.99 KB)
Agres K., Bigo L., Herremans D., Conklin D..  2016.  The Effect of Repetitive Structure on Enjoyment in Uplifting Trance Music. In Proceedings of the 14th International Conference for Music Perception and Cognition (ICMPC). :280-282. (139.27 KB)
Agres K, Lui S, Herremans D.  2019.  A novel music-based game with motion capture to support cognitive and motor function in the elderly. IEEE Conference on Games (CoG) 2019.  (2.63 MB)
Agres K., Chacón C.ECancino, Grachten M., Lattner S..  2015.  Co-occurrences of harmonics bootstrap pitch and tonality perception in music: Evidence from a statistical unsupervised learning model. CogSci 2015: The annual meeting of the Cognitive Science Society.  (217.54 KB)
Agres K, Bigo L, Herremans D.  2019.  The impact of musical structure on enjoyment and absorptive listening states in trance music. Music and Consciousness 2: Worlds, Practices, Modalities. Edited by Ruth Herbert, David Clarke, and Eric Clarke
Agres K, Topel S, Spivey M, Moseson S.  2010.  An auditory twist on visual search using head movement controlled ambisonics. International Computer Music Conference.  (973.19 KB)
Agres K.  2019.  Change detection and schematic processing in music. Psychology of Music. 47(2):173-193.
Agres K, Meredith D.  2018.  Modelling Novice and Expert Listeners’ Ability to Detect Changes in Short Melodies. International Conference on Music Perception and Cognition.  (93.32 KB)
Agres K, McGregor S, Purver M, Wiggins G.  2015.  Conceptualizing Creativity: From Distributional Semantics to Conceptual Spaces. Proceedings of the Sixth International Conference on Computational Creativity.  (187.9 KB)
Agres KR, Sauvé SA.  2016.  Workshop on Auditory Neuroscience, Cognition, and Modeling. Psychomusicology: Music, Mind, and Brain. 26(3):288-292.
Agres KR, Schaefer R, Volk A, van Hooren S, Holzapfel A, DallaBella S, Müller M, de Witte M, Herremans D, Ramirez-Melendez R et al..  2021.  Music, Computing, and Health: A roadmap for the current and future roles of music technology for health care and well-being. Music & Science.  (4.07 MB)
Agres K, Abdallah S, Pearce M.  2018.  Information-Theoretic Properties of Auditory Sequences Dynamically Influence Expectation and Memory. Cognitive Science. 42:43-76. (410.27 KB)
Agres K.  2013.  The Learning Trajectory Of Musical Memory: From Schematic Processing Of Novel Melodies To Robust Musical Memory Representations. Cornell University, Department of Psychology. PhD
Agres K, Herremans D.  2018.  The Structure of Chord Progressions Influences Listeners’ Enjoyment and Absorptive States in EDM. International Conference on Music Perception and Cognition.  (387.15 KB)
Agres KR, DeLong JE, Spivey M.  2009.  The sparsity of simple recurrent networks in musical structure learning. Proceedings of the 31th Annual Conference of the Cognitive Science Society.  (591.97 KB)
Agres KR, Foubert K, Sridhar S.  2021.  Music Therapy During COVID-19: Changes to the Practice, Use of Technology, and What to Carry Forward in the Future. Frontiers in Psychology. 12 (313.95 KB)
B
Beveridge S., Cano E., Agres K..  2018.  Rhythmic Entrainment for Hand Rehabilitation Using the Leap Motion Controller. Proceedings of The 19th International Society of Music Information Retrieval (ISMIR) Conference.  (476.62 KB)
Bilgin P, Agres K, Robinson N, Wai AAung Phyo, Guan C.  2019.  A Comparative Study of Mental States in 2D and 3D Virtual Environments Using EEG. IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC).  (812.97 KB)
F
Forth J, Agres K, Purver M, Wiggins G.  2016.  Entraining IDyOT: timing in the information dynamics of thinking. Frontiers in Psychology: Auditory Cognitive Neuroscience. 7:1575 (2.85 MB)
I
Ibrahim K, Grunberg D, Agres K, Gupta C, Wang Y.  2017.  Intelligibility of Sung Lyrics: A Pilot Study. International Society for Music Information Retrieval Conference (ISMIR).  (288.5 KB)
N
Nahar F, Agres K, Balamurali B, Herremans D.  2020.  A dataset and classification model for Malay, Hindi, Tamil and Chinese music. Workshop on Machine Learning and Music (MML 2020), at the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD) conference.
X
Xiao P, Alnajjar K, Granroth-Wilding M, Agres K, Toivonen H.  2016.  Meta4meaning: Automatic Metaphor Interpretation Using Corpus-Derived Word Associations. Proceedings of the Seventh International Conference on Computational Creativity.