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2020 – today
- 2024
[c67]Kevin Allain
, Tillman Weyde:
JazzDAP: Collaborative Research Tools for Digital Jazz Archives. DLfM 2024: 68-72- [c66]Kaleem Peeroo, Peter Popov, Vladimir Stankovic, Tillman Weyde:
Machine Learning for Performance Prediction of Data Distribution Service (DDS). EDCC 2024: 111-114 - [i30]Enrico Lopedoto, Maksim Shekhunov, Vitaly Aksenov, Kizito Salako, Tillman Weyde:
Derivative-based regularization for regression. CoRR abs/2405.00555 (2024) - [i29]Daniel Sikar, Artur Garcez, Robin Bloomfield, Tillman Weyde, Kaleem Peeroo, Naman Singh, Maeve Hutchinson, Mirela Reljan-Delaney:
The Misclassification Likelihood Matrix: Some Classes Are More Likely To Be Misclassified Than Others. CoRR abs/2407.07818 (2024) - [i28]Daniel Sikar, Artur Garcez, Tillman Weyde, Robin Bloomfield, Kaleem Peeroo:
When to Accept Automated Predictions and When to Defer to Human Judgment? CoRR abs/2407.07821 (2024) - [i27]Sevinj Teymurova, Ernesto Jiménez-Ruiz, Tillman Weyde, Jiaoyan Chen:
OWL2Vec4OA: Tailoring Knowledge Graph Embeddings for Ontology Alignment. CoRR abs/2408.06310 (2024) - 2023
- [j8]Eric Guizzo, Tillman Weyde, Simone Scardapane, Danilo Comminiello:
Learning Speech Emotion Representations in the Quaternion Domain. IEEE ACM Trans. Audio Speech Lang. Process. 31: 1200-1212 (2023) - [c65]Nadine El-Naggar, Pranava Madhyastha, Tillman Weyde:
Theoretical Conditions and Empirical Failure of Bracket Counting on Long Sequences with Linear Recurrent Networks. EACL (Student Research Workshop) 2023: 143-148 - [c64]Chenxi Whitehouse, Tillman Weyde, Pranava Madhyastha:
Towards a Unified Model for Generating Answers and Explanations in Visual Question Answering. EACL (Findings) 2023: 1648-1660 - [c63]Nadine El-Naggar, Andrew Ryzhikov, Laure Daviaud, Pranava Madhyastha, Tillman Weyde:
Formal and Empirical Studies of Counting Behaviour in ReLU RNNs. ICGI 2023: 199-222 - [c62]Carey Bunks, Tillman Weyde, Simon Dixon, Bruno Di Giorgi:
Modeling Harmonic Similarity for Jazz Using Co-occurrence Vectors and the Membrane Area. ISMIR 2023: 757-764 - [c61]David Herron, Ernesto Jiménez-Ruiz, Tillman Weyde:
On the Benefits of OWL-based Knowledge Graphs for Neural-Symbolic Systems. NeSy 2023: 327-335 - [c60]Eric Guizzo, Tillman Weyde, Giacomo Tarroni, Danilo Comminiello:
Quaternion Anti-Transfer Learning for Speech Emotion Recognition. WASPAA 2023: 1-5 - [d3]David Herron, Ernesto Jiménez-Ruiz, Giacomo Tarroni, Tillman Weyde:
NeSy4VRD: A Multifaceted Resource for Neurosymbolic AI Research using Knowledge Graphs in Visual Relationship Detection. Zenodo, 2023
- [d2]David Herron, Ernesto Jiménez-Ruiz, Giacomo Tarroni, Tillman Weyde:
NeSy4VRD: A Multifaceted Resource for Neurosymbolic AI Research using Knowledge Graphs in Visual Relationship Detection. Zenodo, 2023 - [d1]David Herron, Ernesto Jiménez-Ruiz, Giacomo Tarroni, Tillman Weyde:
NeSy4VRD: A Multifaceted Resource for Neurosymbolic AI Research using Knowledge Graphs in Visual Relationship Detection. Zenodo, 2023 - [i26]Chenxi Whitehouse, Tillman Weyde, Pranava Madhyastha:
Towards a Unified Model for Generating Answers and Explanations in Visual Question Answering. CoRR abs/2301.10799 (2023) - [i25]Nadine El-Naggar, Pranava Madhyastha, Tillman Weyde:
Theoretical Conditions and Empirical Failure of Bracket Counting on Long Sequences with Linear Recurrent Networks. CoRR abs/2304.03639 (2023) - [i24]David Herron, Ernesto Jiménez-Ruiz, Giacomo Tarroni, Tillman Weyde:
NeSy4VRD: A Multifaceted Resource for Neurosymbolic AI Research using Knowledge Graphs in Visual Relationship Detection. CoRR abs/2305.13258 (2023) - [i23]Szymon Kubiak, Tillman Weyde, Oleksandr Galkin, Daniel Philps, Ram Gopal:
Improved Data Generation for Enhanced Asset Allocation: A Synthetic Dataset Approach for the Fixed Income Universe. CoRR abs/2311.16004 (2023) - 2022
- [j7]Polina Proutskova, Daniel Wolff, György Fazekas, Klaus Frieler, Frank Höger, Olga Velichkina, Gabriel Solis, Tillman Weyde, Martin Pfleiderer, Hélène Camille Crayencour, Geoffroy Peeters, Simon Dixon:
The Jazz Ontology: A semantic model and large-scale RDF repositories for jazz. J. Web Semant. 74: 100735 (2022) - [c59]Nadine El-Naggar, Pranava Madhyastha, Tillman Weyde:
Experiments in Learning Dyck-1 Languages with Recurrent Neural Networks. HLC 2022: 24-28 - [c58]Chenxi Whitehouse, Tillman Weyde, Pranava Madhyastha, Nikos Komninos:
Evaluation of Fake News Detection with Knowledge-Enhanced Language Models. ICWSM 2022: 1425-1429 - [c57]Carey Bunks, Tillman Weyde, Aidan Slingsby, Jo Wood:
Visualization of Tonal Harmony for Jazz Lead Sheets. EuroVis (Short Papers) 2022: 109-113 - [i22]Chenxi Whitehouse, Tillman Weyde, Pranava Madhyastha, Nikos Komninos:
Evaluation of Fake News Detection with Knowledge-Enhanced Language Models. CoRR abs/2204.00458 (2022) - [i21]Eric Guizzo, Tillman Weyde, Simone Scardapane, Danilo Comminiello:
Learning Speech Emotion Representations in the Quaternion Domain. CoRR abs/2204.02385 (2022) - [i20]Simon Colton, Maria Teresa Llano, Rose Hepworth, John William Charnley, Catherine V. Gale, Archie Baron, François Pachet, Pierre Roy, Pablo Gervás, Nick Collins, Bob L. Sturm, Tillman Weyde, Daniel Wolff, James Robert Lloyd:
The Beyond the Fence Musical and Computer Says Show Documentary. CoRR abs/2206.03224 (2022) - [i19]Carey Bunks, Tillman Weyde:
Jazz Contrafact Detection. CoRR abs/2208.00792 (2022) - [i18]Nadine El-Naggar, Pranava Madhyastha, Tillman Weyde:
Exploring the Long-Term Generalization of Counting Behavior in RNNs. CoRR abs/2211.16429 (2022) - 2021
- [j6]Roberto Confalonieri, Tillman Weyde, Tarek R. Besold, Fermín Moscoso del Prado Martín:
Using ontologies to enhance human understandability of global post-hoc explanations of black-box models. Artif. Intell. 296: 103471 (2021) - [j5]Eric Guizzo, Tillman Weyde, Giacomo Tarroni:
Anti-transfer learning for task invariance in convolutional neural networks for speech processing. Neural Networks 142: 238-251 (2021) - [c56]Roberto Confalonieri, Tillman Weyde, Tarek R. Besold, Fermín Moscoso del Prado Martín:
Using Ontologies for Human-understandable Explanations of Black-box Models (Extended Abstract). DAO-XAI 2021 - [i17]Radha Manisha Kopparti, Tillman Weyde:
Relational Weight Priors in Neural Networks for Abstract Pattern Learning and Language Modelling. CoRR abs/2103.06198 (2021) - [i16]Andreas Jansson, Rachel M. Bittner, Nicola Montecchio, Tillman Weyde:
Learned complex masks for multi-instrument source separation. CoRR abs/2103.12864 (2021) - 2020
- [j4]Son N. Tran, Artur S. d'Avila Garcez, Tillman Weyde, Jie Yin, Qing Zhang, Mohan Karunanithi:
Sequence Classification Restricted Boltzmann Machines With Gated Units. IEEE Trans. Neural Networks Learn. Syst. 31(11): 4806-4815 (2020) - [c55]Roberto Confalonieri, Tillman Weyde, Tarek R. Besold, Fermín Moscoso del Prado Martín:
TREPAN Reloaded: A Knowledge-Driven Approach to Explaining Black-Box Models. ECAI 2020: 2457-2464 - [c54]Joaquin Perez-Lapillo, Oleksandr Galkin, Tillman Weyde:
Improving Singing Voice Separation with the Wave-U-Net Using Minimum Hyperspherical Energy. ICASSP 2020: 3272-3276 - [c53]Eric Guizzo, Tillman Weyde, Jack Barnett Leveson:
Multi-Time-Scale Convolution for Emotion Recognition from Speech Audio Signals. ICASSP 2020: 6489-6493 - [c52]Enrico Lopedoto, Tillman Weyde:
ReLEx: Regularisation for Linear Extrapolation in Neural Networks with Rectified Linear Units. SGAI Conf. 2020: 159-165 - [i15]Radha Manisha Kopparti, Tillman Weyde:
Weight Priors for Learning Identity Relations. CoRR abs/2003.03125 (2020) - [i14]Eric Guizzo, Tillman Weyde, Jack Barnett Leveson:
Multi-Time-Scale Convolution for Emotion Recognition from Speech Audio Signals. CoRR abs/2003.03375 (2020) - [i13]Eric Guizzo, Tillman Weyde, Giacomo Tarroni:
Blissful Ignorance: Anti-Transfer Learning for Task Invariance. CoRR abs/2006.06494 (2020)
2010 – 2019
- 2019
- [j3]Tillman Weyde, Radha Manisha Koppart:
Modelling Identity Rules with Neural Networks. FLAP 6(4): 745-769 (2019) - [c51]Roberto Confalonieri, Tarek R. Besold, Tillman Weyde, Kathleen Creel, Tania Lombrozo, Shane T. Mueller, Patrick Shafto:
What makes a good explanation? Cognitive dimensions of explaining intelligent machines. CogSci 2019: 25-26 - [c50]Can Koluman, Christopher Child, Tillman Weyde:
Modelling Emotion Based Reward Valuation with Computational Reinforcement Learning. CogSci 2019: 582-588 - [c49]Tim Laibacher, Tillman Weyde, Sepehr Jalali:
M2U-Net: Effective and Efficient Retinal Vessel Segmentation for Real-World Applications. CVPR Workshops 2019: 115-124 - [c48]Asmaa Mahdi, Tillman Weyde, Dhiya Al-Jumeily:
Comparing Unsupervised Layers in Neural Networks for Financial Time Series Prediction. DeSE 2019: 134-139 - [c47]Andreas Jansson, Rachel M. Bittner, Sebastian Ewert, Tillman Weyde:
Joint Singing Voice Separation and F0 Estimation with Deep U-Net Architectures. EUSIPCO 2019: 1-5 - [c46]Toby Staines, Tillman Weyde, Oleksandr Galkin:
Monaural Speech Separation with Deep Learning Using Phase Modelling and Capsule Networks. EUSIPCO 2019: 1-5 - [c45]Francesco Barbieri, Eric Guizzo, Federico Lucchesi, Giovanni Maffei, Fermín Moscoso del Prado Martín, Tillman Weyde:
Towards a Multimodal Time-Based Empathy Prediction System. FG 2019: 1-5 - [i12]Radha Manisha Kopparti, Tillman Weyde:
Factors for the Generalisation of Identity Relations by Neural Networks. CoRR abs/1906.05449 (2019) - [i11]Roberto Confalonieri, Fermín Moscoso del Prado, Sebastia Agramunt, Daniel Malagarriga, Daniele Faggion, Tillman Weyde, Tarek R. Besold:
An Ontology-based Approach to Explaining Artificial Neural Networks. CoRR abs/1906.08362 (2019) - [i10]Joaquin Perez-Lapillo, Oleksandr Galkin, Tillman Weyde:
Improving singing voice separation with the Wave-U-Net using Minimum Hyperspherical Energy. CoRR abs/1910.10071 (2019) - [i9]Daniel Philps, Artur S. d'Avila Garcez, Tillman Weyde:
Making Good on LSTMs Unfulfilled Promise. CoRR abs/1911.04489 (2019) - 2018
- [c44]Reinier de Valk, Tillman Weyde:
Deep Neural Networks with Voice Entry Estimation Heuristics for Voice Separation in Symbolic Music Representations. ISMIR 2018: 281-288 - [i8]Tim Laibacher, Tillman Weyde, Sepehr Jalali:
M2U-Net: Effective and Efficient Retinal Vessel Segmentation for Resource-Constrained Environments. CoRR abs/1811.07738 (2018) - [i7]Craig Macartney, Tillman Weyde:
Improved Speech Enhancement with the Wave-U-Net. CoRR abs/1811.11307 (2018) - [i6]Tillman Weyde, Radha Manisha Kopparti:
Feed-Forward Neural Networks Need Inductive Bias to Learn Equality Relations. CoRR abs/1812.01662 (2018) - [i5]Daniel Philps, Tillman Weyde, Artur S. d'Avila Garcez, Roy Batchelor:
Continual Learning Augmented Investment Decisions. CoRR abs/1812.02340 (2018) - [i4]Tillman Weyde, Radha Manisha Kopparti:
Modelling Identity Rules with Neural Networks. CoRR abs/1812.02616 (2018) - 2017
- [j2]Samer A. Abdallah, Emmanouil Benetos, Nicolas Gold, Steven Hargreaves, Tillman Weyde, Daniel Wolff:
The Digital Music Lab: A Big Data Infrastructure for Digital Musicology. ACM Journal on Computing and Cultural Heritage 10(1): 2:1-2:21 (2017) - [c43]Asmaa Mahdi, Tillman Weyde, Dhiya Al-Jumeily:
The FL-SMIA Network: A Novel Architecture for Time Series Prediction. DeSE 2017: 31-36 - [c42]Srikanth Cherla, Son Ngoc Tran, Artur S. d'Avila Garcez, Tillman Weyde:
Generalising the Discriminative Restricted Boltzmann Machines. ICANN (2) 2017: 111-119 - [c41]Vytaute Kedyte, Maria Panteli, Tillman Weyde, Simon Dixon:
Geographical Origin Prediction of Folk Music Recordings from the United Kingdom. ISMIR 2017: 664-670 - [c40]Andreas Jansson, Eric J. Humphrey, Nicola Montecchio, Rachel M. Bittner, Aparna Kumar, Tillman Weyde:
Singing Voice Separation with Deep U-Net Convolutional Networks. ISMIR 2017: 745-751 - [i3]Son N. Tran, Srikanth Cherla, Artur S. d'Avila Garcez, Tillman Weyde:
The Recurrent Temporal Discriminative Restricted Boltzmann Machines. CoRR abs/1710.02245 (2017) - 2016
- [c39]Chris Percy, Artur S. d'Avila Garcez, Simo Dragicevic, Manoel V. M. França, Greg G. Slabaugh, Tillman Weyde:
The Need for Knowledge Extraction: Understanding Harmful Gambling Behavior with Neural Networks. ECAI 2016: 974-981 - [c38]Samer A. Abdallah, Emmanouil Benetos, Nicolas E. Gold, Steven Hargreaves, Tillman Weyde, Daniel Wolff:
Digital music lab: A framework for analysing big music data. EUSIPCO 2016: 1118-1122 - [c37]Simon Colton, Maria Teresa Llano, Rose Hepworth, John William Charnley, Catherine V. Gale, Archie Baron, François Pachet, Pierre Roy, Pablo Gervás, Nick Collins, Bob L. Sturm, Tillman Weyde, Daniel Wolff, James Robert Lloyd:
The "Beyond the Fence" Musical and "Computer Says Show" Documentary. ICCC 2016: 311-321 - [c36]Andrew John Lambert, Tillman Weyde, Newton Armstrong:
Adaptive Frequency Neural Networks for Dynamic Pulse and Metre Perception. ISMIR 2016: 60-66 - [c35]Gissel Velarde, Tillman Weyde, Carlos Eduardo Cancino Chacón, David Meredith, Maarten Grachten:
Composer Recognition Based on 2D-Filtered Piano-Rolls. ISMIR 2016: 115-121 - [c34]Sanjoy Sarkar, Tillman Weyde, Artur S. d'Avila Garcez, Gregory G. Slabaugh, Simo Dragicevic, Chris Percy:
Accuracy and Interpretability Trade-Offs in Machine Learning Applied to Safer Gambling. CoCo@NIPS 2016 - [p2]Tillman Weyde, Reinier de Valk:
Chord- and Note-Based Approaches to Voice Separation. Computational Music Analysis 2016: 137-154 - [p1]Gissel Velarde, David Meredith, Tillman Weyde:
A Wavelet-Based Approach to Pattern Discovery in Melodies. Computational Music Analysis 2016: 303-333 - [i2]Srikanth Cherla, Son N. Tran, Tillman Weyde, Artur S. d'Avila Garcez:
Generalising the Discriminative Restricted Boltzmann Machine. CoRR abs/1604.01806 (2016) - 2015
- [c33]Siddharth Sigtia, Emmanouil Benetos, Nicolas Boulanger-Lewandowski, Tillman Weyde, Artur S. d'Avila Garcez, Simon Dixon:
A hybrid recurrent neural network for music transcription. ICASSP 2015: 2061-2065 - [c32]Srikanth Cherla, Son Ngoc Tran, Artur S. d'Avila Garcez, Tillman Weyde:
Discriminative learning and inference in the Recurrent Temporal RBM for melody modelling. IJCNN 2015: 1-8 - [c31]Daniel Wolff, Andrew MacFarlane, Tillman Weyde:
Comparative Music Similarity Modelling Using Transfer Learning Across User Groups. ISMIR 2015: 24-30 - [c30]Srikanth Cherla, Son N. Tran, Tillman Weyde, Artur S. d'Avila Garcez:
Hybrid Long- and Short-Term Models of Folk Melodies. ISMIR 2015: 584-590 - [c29]Emmanouil Benetos, Tillman Weyde:
An Efficient Temporally-Constrained Probabilistic Model for Multiple-Instrument Music Transcription. ISMIR 2015: 701-707 - 2014
- [j1]Daniel Wolff, Tillman Weyde:
Learning music similarity from relative user ratings. Inf. Retr. 17(2): 109-136 (2014) - [c28]Andrew John Lambert, Tillman Weyde, Newton Armstrong:
Studying the Effect of Metre Perception on Rhythm and Melody Modelling with LSTMs. MUME@AIIDE 2014 - [c27]Emmanouil Benetos, Sebastian Ewert, Tillman Weyde:
Automatic transcription of pitched and unpitched sounds from polyphonic music. ICASSP 2014: 3107-3111 - [c26]Andrew John Lambert, Tillman Weyde, Newton Armstrong:
Beyond the Beat: Towards Metre, Rhythm and Melody Modelling with Hybrid Oscillator Networks. ICMC 2014 - [c25]Siddharth Sigtia, Emmanouil Benetos, Srikanth Cherla, Tillman Weyde, Artur S. d'Avila Garcez, Simon Dixon:
An RNN-based Music Language Model for Improving Automatic Music Transcription. ISMIR 2014: 53-58 - [c24]Srikanth Cherla, Tillman Weyde, Artur S. d'Avila Garcez:
Multiple Viewpiont Melodic Prediction with Fixed-Context Neural Networks. ISMIR 2014: 101-106 - [c23]Emmanouil Benetos, Roland Badeau, Tillman Weyde, Gaël Richard:
Template Adaptation for Improving Automatic Music Transcription. ISMIR 2014: 175-180 - [c22]Tillman Weyde, Stephen Cottrell, Jason Dykes, Emmanouil Benetos, Daniel Wolff, Dan Tidhar, Alexander Kachkaev, Mark D. Plumbley, Simon Dixon, Mathieu Barthet, Nicolas Gold, Samer A. Abdallah, Aquiles Alancar-Brayner, Mahendra Mahey, Adam Tovell:
Big Data for Musicology. DLfM@JCDL 2014: 1-3 - [c21]Daniel Wolff, Dan Tidhar, Emmanouil Benetos, Edouard Dumon, Srikanth Cherla, Tillman Weyde:
Incremental Dataset Definition for Large Scale Musicological Research. DLfM@JCDL 2014: 1-8 - [c20]Emmanouil Benetos, Andreas Jansson, Tillman Weyde:
Improving Automatic Music Transcription Through Key Detection. Semantic Audio 2014 - [c19]Son N. Tran, Daniel Wolff, Tillman Weyde, Artur S. d'Avila Garcez:
Feature Preprocessing with Restricted Boltzmann Machines for Music Similarity Learning. Semantic Audio 2014 - [c18]Daniel Wolff, Guillaume Bellec, Anders Friberg, Andrew MacFarlane, Tillman Weyde:
Creating Audio Based Experiments as Social Web Games with the CASimIR Framework. Semantic Audio 2014 - [i1]Siddharth Sigtia, Emmanouil Benetos, Nicolas Boulanger-Lewandowski, Tillman Weyde, Artur S. d'Avila Garcez, Simon Dixon:
A Hybrid Recurrent Neural Network For Music Transcription. CoRR abs/1411.1623 (2014) - 2013
- [c17]Tillman Weyde, Gregory G. Slabaugh, Gauthier Fontaine, Christoph Bederna:
Predicting Aquaplaning Performance from Tyre Profile Images with Machine Learning. ICIAR 2013: 133-142 - [c16]Srikanth Cherla, Tillman Weyde, Artur S. d'Avila Garcez, Marcus T. Pearce:
A Distributed Model For Multiple-Viewpoint Melodic Prediction. ISMIR 2013: 15-20 - [c15]Emmanouil Benetos, Tillman Weyde:
Explicit Duration Hidden Markov Models for Multiple-Instrument Polyphonic Music Transcription. ISMIR 2013: 269-274 - [c14]Reinier de Valk, Tillman Weyde, Emmanouil Benetos:
A Machine Learning Approach to Voice Separation in Lute Tablature. ISMIR 2013: 555-560 - 2012
- [c13]Daniel Wolff, Sebastian Stober, Andreas Nürnberger, Tillman Weyde:
A Systematic Comparison of Music Similarity Adaptation Approaches. ISMIR 2012: 103-108 - [c12]Daniel Wolff, Tillman Weyde:
Adapting similarity on the MagnaTagATune database: effects of model and feature choices. WWW (Companion Volume) 2012: 931-936 - 2011
- [c11]Daniel Wolff, Tillman Weyde:
Combining Sources of Description for Approximating Music Similarity Ratings. Adaptive Multimedia Retrieval 2011: 114-124 - [c10]Daniel Wolff, Tillman Weyde:
Adapting Metrics for Music Similarity Using Comparative Ratings. ISMIR 2011: 73-78
2000 – 2009
- 2008
- [c9]Kia Ng, Tillman Weyde, Paolo Nesi:
I-Maestro: Technology-Enhanced Learning for Music. ICMC 2008 - 2007
- [c8]Kia-Chuan Ng, Tillman Weyde, Oliver Larkin, Kerstin Neubarth, Thijs Koerselman, Bee Ong:
3d augmented mirror: a multimodal interface for string instrument learning and teaching with gesture support. ICMI 2007: 339-345 - [c7]Tillman Weyde, Jens Wissmann, Kerstin Neubarth:
An Experiment on the Role of Pitch Intervals in Melodic Segmentation. ISMIR 2007: 287-288 - 2005
- [c6]Tillman Weyde, Christian Datzko:
Efficient Melody Retrieval with Motif Contour Classes. ISMIR 2005: 686-689 - 2004
- [c5]Tillman Weyde:
The Influence of Pitch on Melodic Segmentation. ISMIR 2004 - 2003
- [b1]Tillman Weyde:
Lern- und wissensbasierte Analyse musikalischer Rhythmen: Konzeption, Entwicklung und Evaluation eines Neuro-Fuzzy-Systems für die Erkennung rhythmischer Strukturen. University of Osnabrück, 2003, ISBN 3-923486-55-3, pp. 1-247 - [c4]Klaus Dalinghaus, Tillman Weyde:
Structure recognition on sequences with a neuro-fuzzy-system. EUSFLAT Conf. 2003: 386-391 - 2002
- [c3]Thomas Noll, Jörg Garbers, Karin Höthker, Christian Spevak, Tillman Weyde:
Opuscope - Towards a Corpus-Based Music Repository. ISMIR 2002 - [c2]Martin Gieseking, Tillman Weyde:
Concepts of the MUSITECH Infrastructure for Internet-Based Interactive Musical Applications. WEDELMUSIC 2002: 30-37 - 2001
- [c1]Tillman Weyde:
Grouping, Similarity and the Recognition of Rhythmic Structure. ICMC 2001
Coauthor Index
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