Grouping, Similarity and the Recognition of Rhythmic Structure. - Tillman Weyde (ICMC, 2001)

Opuscope - Towards a Corpus-Based Music Repository. - Thomas Noll 002; Jörg Garbers; Karin Höthker; Christian Spevak; Tillman Weyde (ISMIR, 2002)

Concepts of the MUSITECH Infrastructure for Internet-Based Interactive Musical Applications. - Martin Gieseking; Tillman Weyde (WEDELMUSIC, 2002)

Structure recognition on sequences with a neuro-fuzzy-system. - Klaus Dalinghaus; Tillman Weyde (EUSFLAT Conf., 2003)

Lern- und wissensbasierte Analyse musikalischer Rhythmen: Konzeption, Entwicklung und Evaluation eines Neuro-Fuzzy-Systems für die Erkennung rhythmischer Strukturen. - Tillman Weyde (2003)

The Influence of Pitch on Melodic Segmentation. - Tillman Weyde (ISMIR, 2004)

Efficient Melody Retrieval with Motif Contour Classes. - Tillman Weyde; Christian Datzko (ISMIR, 2005)

3d augmented mirror: a multimodal interface for string instrument learning and teaching with gesture support. - Kia-Chuan Ng; Tillman Weyde; Oliver Larkin; Kerstin Neubarth; Thijs Koerselman; Bee Ong (ICMI, 2007)

An Experiment on the Role of Pitch Intervals in Melodic Segmentation. - Tillman Weyde; Jens Wissmann; Kerstin Neubarth (ISMIR, 2007)

I-Maestro: Technology-Enhanced Learning for Music. - Kia Ng; Tillman Weyde; Paolo Nesi (ICMC, 2008)

Combining Sources of Description for Approximating Music Similarity Ratings. - Daniel Wolff; Tillman Weyde (Adaptive Multimedia Retrieval, 2011)

Adapting Metrics for Music Similarity Using Comparative Ratings. - Daniel Wolff; Tillman Weyde (ISMIR, 2011)

A Systematic Comparison of Music Similarity Adaptation Approaches. - Daniel Wolff; Sebastian Stober; Andreas Nürnberger; Tillman Weyde (ISMIR, 2012)

Adapting similarity on the MagnaTagATune database: effects of model and feature choices. - Daniel Wolff; Tillman Weyde (WWW (Companion Volume), 2012)

Predicting Aquaplaning Performance from Tyre Profile Images with Machine Learning. - Tillman Weyde; Gregory G. Slabaugh; Gauthier Fontaine; Christoph Bederna (ICIAR, 2013)

Explicit Duration Hidden Markov Models for Multiple-Instrument Polyphonic Music Transcription. - Emmanouil Benetos; Tillman Weyde (ISMIR, 2013)

A Distributed Model For Multiple-Viewpoint Melodic Prediction. - Srikanth Cherla; Tillman Weyde; Artur S. d'Avila Garcez; Marcus T. Pearce (ISMIR, 2013)

A Machine Learning Approach to Voice Separation in Lute Tablature. - Reinier de Valk; Tillman Weyde; Emmanouil Benetos (ISMIR, 2013)

Studying the Effect of Metre Perception on Rhythm and Melody Modelling with LSTMs. - Andrew John Lambert; Tillman Weyde; Newton Armstrong (MUME@AIIDE, 2014)

Automatic transcription of pitched and unpitched sounds from polyphonic music. - Emmanouil Benetos; Sebastian Ewert; Tillman Weyde (ICASSP, 2014)

Beyond the Beat: Towards Metre, Rhythm and Melody Modelling with Hybrid Oscillator Networks. - Andrew John Lambert; Tillman Weyde; Newton Armstrong (ICMC, 2014)

Template Adaptation for Improving Automatic Music Transcription. - Emmanouil Benetos; Roland Badeau; Tillman Weyde; Gaël Richard (ISMIR, 2014)

Multiple Viewpiont Melodic Prediction with Fixed-Context Neural Networks. - Srikanth Cherla; Tillman Weyde; Artur S. d'Avila Garcez (ISMIR, 2014)

An RNN-based Music Language Model for Improving Automatic Music Transcription. - Siddharth Sigtia; Emmanouil Benetos; Srikanth Cherla; Tillman Weyde; Artur S. d'Avila Garcez; Simon Dixon (ISMIR, 2014)

Big Data for Musicology. - 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; et al. (DLfM@JCDL, 2014)

Incremental Dataset Definition for Large Scale Musicological Research. - Daniel Wolff; Dan Tidhar; Emmanouil Benetos; Edouard Dumon; Srikanth Cherla; Tillman Weyde (DLfM@JCDL, 2014)

Improving Automatic Music Transcription Through Key Detection. - Emmanouil Benetos; Andreas Jansson 001; Tillman Weyde (Semantic Audio, 2014)

Feature Preprocessing with Restricted Boltzmann Machines for Music Similarity Learning. - Son N. Tran; Daniel Wolff; Tillman Weyde; Artur S. d'Avila Garcez (Semantic Audio, 2014)

Creating Audio Based Experiments as Social Web Games with the CASimIR Framework. - Daniel Wolff; Guillaume Bellec; Anders Friberg; Andrew MacFarlane 001; Tillman Weyde (Semantic Audio, 2014)

Learning music similarity from relative user ratings. - Daniel Wolff; Tillman Weyde (Inf. Retr., 2014)

A hybrid recurrent neural network for music transcription. - Siddharth Sigtia; Emmanouil Benetos; Nicolas Boulanger-Lewandowski; Tillman Weyde; Artur S. d'Avila Garcez; Simon Dixon (ICASSP, 2015)

Discriminative learning and inference in the Recurrent Temporal RBM for melody modelling. - Srikanth Cherla; Son Ngoc Tran; Artur S. d'Avila Garcez; Tillman Weyde (IJCNN, 2015)

An Efficient Temporally-Constrained Probabilistic Model for Multiple-Instrument Music Transcription. - Emmanouil Benetos; Tillman Weyde (ISMIR, 2015)

Hybrid Long- and Short-Term Models of Folk Melodies. - Srikanth Cherla; Son N. Tran; Tillman Weyde; Artur S. d'Avila Garcez (ISMIR, 2015)

Comparative Music Similarity Modelling Using Transfer Learning Across User Groups. - Daniel Wolff; Andrew MacFarlane 001; Tillman Weyde (ISMIR, 2015)

A Wavelet-Based Approach to Pattern Discovery in Melodies. - Gissel Velarde; David Meredith 001; Tillman Weyde (Computational Music Analysis, 2016)

Chord- and Note-Based Approaches to Voice Separation. - Tillman Weyde; Reinier de Valk (Computational Music Analysis, 2016)

The Need for Knowledge Extraction: Understanding Harmful Gambling Behavior with Neural Networks. - Chris Percy; Artur S. d'Avila Garcez; Simo Dragicevic; Manoel V. M. França; Greg G. Slabaugh; Tillman Weyde (ECAI, 2016)

Digital music lab: A framework for analysing big music data. - Samer A. Abdallah; Emmanouil Benetos; Nicolas E. Gold; Steven Hargreaves; Tillman Weyde; Daniel Wolff (EUSIPCO, 2016)

The "Beyond the Fence" Musical and "Computer Says Show" Documentary. - 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; et al. (ICCC, 2016)

Adaptive Frequency Neural Networks for Dynamic Pulse and Metre Perception. - Andrew John Lambert; Tillman Weyde; Newton Armstrong (ISMIR, 2016)

Composer Recognition Based on 2D-Filtered Piano-Rolls. - Gissel Velarde; Tillman Weyde; Carlos Eduardo Cancino Chacón; David Meredith 001; Maarten Grachten (ISMIR, 2016)

Accuracy and Interpretability Trade-Offs in Machine Learning Applied to Safer Gambling. - Sanjoy Sarkar; Tillman Weyde; Artur S. d'Avila Garcez; Gregory G. Slabaugh; Simo Dragicevic; Chris Percy (CoCo@NIPS, 2016)

Generalising the Discriminative Restricted Boltzmann Machine. - Srikanth Cherla; Son N. Tran; Tillman Weyde; Artur S. d'Avila Garcez (CoRR, 2016)

The FL-SMIA Network: A Novel Architecture for Time Series Prediction. - Asmaa Mahdi; Tillman Weyde; Dhiya Al-Jumeily (DeSE, 2017)

Generalising the Discriminative Restricted Boltzmann Machines. - Srikanth Cherla; Son Ngoc Tran; Artur S. d'Avila Garcez; Tillman Weyde (ICANN (2), 2017)

Singing Voice Separation with Deep U-Net Convolutional Networks. - Andreas Jansson 001; Eric J. Humphrey; Nicola Montecchio; Rachel M. Bittner; Aparna Kumar; Tillman Weyde (ISMIR, 2017)

Geographical Origin Prediction of Folk Music Recordings from the United Kingdom. - Vytaute Kedyte; Maria Panteli; Tillman Weyde; Simon Dixon (ISMIR, 2017)

The Recurrent Temporal Discriminative Restricted Boltzmann Machines. - Son N. Tran; Srikanth Cherla; Artur S. d'Avila Garcez; Tillman Weyde (CoRR, 2017)

The Digital Music Lab: A Big Data Infrastructure for Digital Musicology. - Samer A. Abdallah; Emmanouil Benetos; Nicolas Gold; Steven Hargreaves; Tillman Weyde; Daniel Wolff (ACM Journal on Computing and Cultural Heritage, 2017)

Deep Neural Networks with Voice Entry Estimation Heuristics for Voice Separation in Symbolic Music Representations. - Reinier de Valk; Tillman Weyde (ISMIR, 2018)

M2U-Net: Effective and Efficient Retinal Vessel Segmentation for Resource-Constrained Environments. - Tim Laibacher; Tillman Weyde; Sepehr Jalali (CoRR, 2018)

Improved Speech Enhancement with the Wave-U-Net. - Craig Macartney; Tillman Weyde (CoRR, 2018)

Feed-Forward Neural Networks Need Inductive Bias to Learn Equality Relations. - Tillman Weyde; Radha Manisha Kopparti (CoRR, 2018)

Continual Learning Augmented Investment Decisions. - Daniel Philps; Tillman Weyde; Artur S. d'Avila Garcez; Roy Batchelor (CoRR, 2018)

What makes a good explanation? Cognitive dimensions of explaining intelligent machines. - Roberto Confalonieri 001; Tarek R. Besold; Tillman Weyde; Kathleen Creel; Tania Lombrozo; Shane T. Mueller; Patrick Shafto (CogSci, 2019)

Modelling Emotion Based Reward Valuation with Computational Reinforcement Learning. - Can Koluman; Christopher Child; Tillman Weyde (CogSci, 2019)

M2U-Net: Effective and Efficient Retinal Vessel Segmentation for Real-World Applications. - Tim Laibacher; Tillman Weyde; Sepehr Jalali (CVPR Workshops, 2019)

Comparing Unsupervised Layers in Neural Networks for Financial Time Series Prediction. - Asmaa Mahdi; Tillman Weyde; Dhiya Al-Jumeily (DeSE, 2019)

Joint Singing Voice Separation and F0 Estimation with Deep U-Net Architectures. - Andreas Jansson 001; Rachel M. Bittner; Sebastian Ewert; Tillman Weyde (EUSIPCO, 2019)

Monaural Speech Separation with Deep Learning Using Phase Modelling and Capsule Networks. - Toby Staines; Tillman Weyde; Oleksandr Galkin (EUSIPCO, 2019)

Towards a Multimodal Time-Based Empathy Prediction System. - Francesco Barbieri; Eric Guizzo; Federico Lucchesi; Giovanni Maffei; Fermín Moscoso del Prado Martín; Tillman Weyde (FG, 2019)

Factors for the Generalisation of Identity Relations by Neural Networks. - Radha Manisha Kopparti; Tillman Weyde (CoRR, 2019)

An Ontology-based Approach to Explaining Artificial Neural Networks. - Roberto Confalonieri 001; Fermín Moscoso del Prado; Sebastia Agramunt; Daniel Malagarriga; Daniele Faggion; Tillman Weyde; Tarek R. Besold (CoRR, 2019)

Making Good on LSTMs Unfulfilled Promise. - Daniel Philps; Artur S. d'Avila Garcez; Tillman Weyde (CoRR, 2019)

Modelling Identity Rules with Neural Networks. - Tillman Weyde; Radha Manisha Koppart (FLAP, 2019)

TREPAN Reloaded: A Knowledge-Driven Approach to Explaining Black-Box Models. - Roberto Confalonieri 001; Tillman Weyde; Tarek R. Besold; Fermín Moscoso del Prado Martín (ECAI, 2020)

Multi-Time-Scale Convolution for Emotion Recognition from Speech Audio Signals. - Eric Guizzo; Tillman Weyde; Jack Barnett Leveson (ICASSP, 2020)

Improving Singing Voice Separation with the Wave-U-Net Using Minimum Hyperspherical Energy. - Joaquin Perez-Lapillo; Oleksandr Galkin; Tillman Weyde (ICASSP, 2020)

ReLEx: Regularisation for Linear Extrapolation in Neural Networks with Rectified Linear Units. - Enrico Lopedoto; Tillman Weyde (SGAI Conf., 2020)

Weight Priors for Learning Identity Relations. - Radha Manisha Kopparti; Tillman Weyde (CoRR, 2020)

Blissful Ignorance: Anti-Transfer Learning for Task Invariance. - Eric Guizzo; Tillman Weyde; Giacomo Tarroni (CoRR, 2020)

Sequence Classification Restricted Boltzmann Machines With Gated Units. - Son N. Tran; Artur S. d'Avila Garcez; Tillman Weyde; Jie Yin 001; Qing Zhang 001; Mohan Karunanithi (IEEE Trans. Neural Networks Learn. Syst., 2020)

Using Ontologies for Human-understandable Explanations of Black-box Models (Extended Abstract). - Roberto Confalonieri 001; Tillman Weyde; Tarek R. Besold; Fermín Moscoso del Prado Martín (DAO-XAI, 2021)

Using ontologies to enhance human understandability of global post-hoc explanations of black-box models. - Roberto Confalonieri 001; Tillman Weyde; Tarek R. Besold; Fermín Moscoso del Prado Martín (Artif. Intell., 2021)

Relational Weight Priors in Neural Networks for Abstract Pattern Learning and Language Modelling. - Radha Manisha Kopparti; Tillman Weyde (CoRR, 2021)

Learned complex masks for multi-instrument source separation. - Andreas Jansson 001; Rachel M. Bittner; Nicola Montecchio; Tillman Weyde (CoRR, 2021)

Anti-transfer learning for task invariance in convolutional neural networks for speech processing. - Eric Guizzo; Tillman Weyde; Giacomo Tarroni (Neural Networks, 2021)

Experiments in Learning Dyck-1 Languages with Recurrent Neural Networks. - Nadine El-Naggar; Pranava Madhyastha; Tillman Weyde (HLC, 2022)

Evaluation of Fake News Detection with Knowledge-Enhanced Language Models. - Chenxi Whitehouse; Tillman Weyde; Pranava Madhyastha; Nikos Komninos (ICWSM, 2022)

Visualization of Tonal Harmony for Jazz Lead Sheets. - Carey Bunks; Tillman Weyde; Aidan Slingsby; Jo Wood (EuroVis (Short Papers), 2022)

Jazz Contrafact Detection. - Carey Bunks; Tillman Weyde (CoRR, 2022)

Exploring the Long-Term Generalization of Counting Behavior in RNNs. - Nadine El-Naggar; Pranava Madhyastha; Tillman Weyde (CoRR, 2022)

The Jazz Ontology: A semantic model and large-scale RDF repositories for jazz. - 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 (J. Web Semant., 2022)

Theoretical Conditions and Empirical Failure of Bracket Counting on Long Sequences with Linear Recurrent Networks. - Nadine El-Naggar; Pranava Madhyastha; Tillman Weyde (EACL (Student Research Workshop), 2023)

Towards a Unified Model for Generating Answers and Explanations in Visual Question Answering. - Chenxi Whitehouse; Tillman Weyde; Pranava Madhyastha (EACL (Findings), 2023)

Formal and Empirical Studies of Counting Behaviour in ReLU RNNs. - Nadine El-Naggar; Andrew Ryzhikov; Laure Daviaud; Pranava Madhyastha; Tillman Weyde (ICGI, 2023)

Modeling Harmonic Similarity for Jazz Using Co-occurrence Vectors and the Membrane Area. - Carey Bunks; Tillman Weyde; Simon Dixon; Bruno Di Giorgi (ISMIR, 2023)

On the Benefits of OWL-based Knowledge Graphs for Neural-Symbolic Systems. - David Herron; Ernesto Jiménez-Ruiz; Tillman Weyde (NeSy, 2023)

Quaternion Anti-Transfer Learning for Speech Emotion Recognition. - Eric Guizzo; Tillman Weyde; Giacomo Tarroni; Danilo Comminiello (WASPAA, 2023)

NeSy4VRD: A Multifaceted Resource for Neurosymbolic AI Research using Knowledge Graphs in Visual Relationship Detection. - David Herron; Ernesto Jiménez-Ruiz; Giacomo Tarroni; Tillman Weyde (CoRR, 2023)

Improved Data Generation for Enhanced Asset Allocation: A Synthetic Dataset Approach for the Fixed Income Universe. - Szymon Kubiak; Tillman Weyde; Oleksandr Galkin; Daniel Philps; Ram Gopal (CoRR, 2023)

Learning Speech Emotion Representations in the Quaternion Domain. - Eric Guizzo; Tillman Weyde; Simone Scardapane; Danilo Comminiello (IEEE ACM Trans. Audio Speech Lang. Process., 2023)

NeSy4VRD: A Multifaceted Resource for Neurosymbolic AI Research using Knowledge Graphs in Visual Relationship Detection. - David Herron; Ernesto Jiménez-Ruiz; Giacomo Tarroni; Tillman Weyde (Zenodo, 2023)

NeSy4VRD: A Multifaceted Resource for Neurosymbolic AI Research using Knowledge Graphs in Visual Relationship Detection. - David Herron; Ernesto Jiménez-Ruiz; Giacomo Tarroni; Tillman Weyde (Zenodo, 2023)

NeSy4VRD: A Multifaceted Resource for Neurosymbolic AI Research using Knowledge Graphs in Visual Relationship Detection. - David Herron; Ernesto Jiménez-Ruiz; Giacomo Tarroni; Tillman Weyde (Zenodo, 2023)

JazzDAP: Collaborative Research Tools for Digital Jazz Archives. - Kevin Allain; Tillman Weyde (DLfM, 2024)

Machine Learning for Performance Prediction of Data Distribution Service (DDS). - Kaleem Peeroo; Peter Popov; Vladimir Stankovic 002; Tillman Weyde (EDCC, 2024)

Denoising Diffusion Probabilistic Model for Realistic Financial Correlation Matrices. - Szymon Kubiak; Tillman Weyde; Oleksandr Galkin; Daniel Philps; Ram Gopal (ICAIF, 2024)

OWL2Vec4OA: Tailoring Knowledge Graph Embeddings for Ontology Alignment. - Sevinj Teymurova; Ernesto Jiménez-Ruiz; Tillman Weyde; Jiaoyan Chen 001 (KGSWC, 2024)

Towards Tailoring Ontology Embeddings for Ontology Matching Tasks. - Sevinj Teymurova; Ernesto Jiménez-Ruiz; Tillman Weyde; Jiaoyan Chen 001 (OM@ISWC, 2024)

DATE: Derivative Alignment Training for Extrapolation with Neural Networks. - Enrico Lopedoto; Tillman Weyde; Kizito Salako (SGAI Conf. (1), 2024)

Derivative-based regularization for regression. - Enrico Lopedoto; Maksim Shekhunov; Vitaly Aksenov; Kizito Salako; Tillman Weyde (CoRR, 2024)

The Misclassification Likelihood Matrix: Some Classes Are More Likely To Be Misclassified Than Others. - Daniel Sikar; Artur d'Avila Garcez; Robin Bloomfield; Tillman Weyde; Kaleem Peeroo; Naman Singh; Maeve Hutchinson; Mirela Reljan-Delaney (CoRR, 2024)

When to Accept Automated Predictions and When to Defer to Human Judgment? - Daniel Sikar; Artur d'Avila Garcez; Tillman Weyde; Robin Bloomfield; Kaleem Peeroo (CoRR, 2024)

Explorations of the Softmax Space: Knowing When the Neural Network Doesn't Know... - Daniel Sikar; Artur d'Avila Garcez; Tillman Weyde (CoRR, 2025)

Wavelet-Filtering of Symbolic Music Representations for Folk Tune Segmentation and Classification. - Gissel Velarde; Tillman Weyde; David Meredith 001 (CoRR, 2025)

An approach to melodic segmentation and classification based on filtering with the Haar-wavelet. - Gissel Velarde; Tillman Weyde; David Meredith 001 (CoRR, 2025)