Tillman Weyde

ORCID

Publication Activity (10 Years)

Years Active: 2001-2024
Publications (10 Years): 69

Top Venues

University of Osnabrück (PHD)

Education History

University of Osnabrück

PHD

Publications

Kaleem Peeroo, Peter Popov, Vladimir Stankovic, Tillman Weyde
Machine Learning for Performance Prediction of Data Distribution Service (DDS). EDCC (2024)
Daniel Sikar, Artur Garcez, Tillman Weyde, Robin Bloomfield, Kaleem Peeroo
When to Accept Automated Predictions and When to Defer to Human Judgment? CoRR (2024)
Enrico Lopedoto, Maksim Shekhunov, Vitaly Aksenov, Kizito Salako, Tillman Weyde
Derivative-based regularization for regression. CoRR (2024)
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 (2024)
Kevin Allain, Tillman Weyde
JazzDAP: Collaborative Research Tools for Digital Jazz Archives. DLfM (2024)
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)
David Herron, Ernesto Jiménez-Ruiz, Tillman Weyde
On the Benefits of OWL-based Knowledge Graphs for Neural-Symbolic Systems. NeSy (2023)
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 (2023)
Eric Guizzo, Tillman Weyde, Giacomo Tarroni, Danilo Comminiello
Quaternion Anti-Transfer Learning for Speech Emotion Recognition. WASPAA (2023)
Chenxi Whitehouse, Tillman Weyde, Pranava Madhyastha
Towards a Unified Model for Generating Answers and Explanations in Visual Question Answering. EACL (Findings) (2023)
Eric Guizzo, Tillman Weyde, Simone Scardapane, Danilo Comminiello
Learning Speech Emotion Representations in the Quaternion Domain. IEEE ACM Trans. Audio Speech Lang. Process. 31 (2023)
Carey Bunks, Tillman Weyde, Simon Dixon, Bruno Di Giorgi
Modeling Harmonic Similarity for Jazz Using Co-occurrence Vectors and the Membrane Area. ISMIR (2023)
Nadine El-Naggar, Pranava Madhyastha, Tillman Weyde
Theoretical Conditions and Empirical Failure of Bracket Counting on Long Sequences with Linear Recurrent Networks. CoRR (2023)
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 (2023)
Chenxi Whitehouse, Tillman Weyde, Pranava Madhyastha
Towards a Unified Model for Generating Answers and Explanations in Visual Question Answering. CoRR (2023)
Nadine El-Naggar, Andrew Ryzhikov, Laure Daviaud, Pranava Madhyastha, Tillman Weyde
Formal and Empirical Studies of Counting Behaviour in ReLU RNNs. ICGI (2023)
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 (2022)
Nadine El-Naggar, Pranava Madhyastha, Tillman Weyde
Experiments in Learning Dyck-1 Languages with Recurrent Neural Networks. HLC (2022)
Eric Guizzo, Tillman Weyde, Simone Scardapane, Danilo Comminiello
Learning Speech Emotion Representations in the Quaternion Domain. CoRR (2022)
Chenxi Whitehouse, Tillman Weyde, Pranava Madhyastha, Nikos Komninos
Evaluation of Fake News Detection with Knowledge-Enhanced Language Models. ICWSM (2022)
Carey Bunks, Tillman Weyde
Jazz Contrafact Detection. CoRR (2022)
Carey Bunks, Tillman Weyde, Aidan Slingsby, Jo Wood
Visualization of Tonal Harmony for Jazz Lead Sheets. EuroVis (Short Papers) (2022)
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 (2022)
Nadine El-Naggar, Pranava Madhyastha, Tillman Weyde
Exploring the Long-Term Generalization of Counting Behavior in RNNs. CoRR (2022)
Chenxi Whitehouse, Tillman Weyde, Pranava Madhyastha, Nikos Komninos
Evaluation of Fake News Detection with Knowledge-Enhanced Language Models. CoRR (2022)
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 (2021)
Radha Manisha Kopparti, Tillman Weyde
Relational Weight Priors in Neural Networks for Abstract Pattern Learning and Language Modelling. CoRR (2021)
Andreas Jansson, Rachel M. Bittner, Nicola Montecchio, Tillman Weyde
Learned complex masks for multi-instrument source separation. CoRR (2021)
Eric Guizzo, Tillman Weyde, Giacomo Tarroni
Anti-transfer learning for task invariance in convolutional neural networks for speech processing. Neural Networks 142 (2021)
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)
Eric Guizzo, Tillman Weyde, Giacomo Tarroni
Blissful Ignorance: Anti-Transfer Learning for Task Invariance. CoRR (2020)
Eric Guizzo, Tillman Weyde, Jack Barnett Leveson
Multi-Time-Scale Convolution for Emotion Recognition from Speech Audio Signals. CoRR (2020)
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)
Son N. Tran, Artur 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) (2020)
Radha Manisha Kopparti, Tillman Weyde
Weight Priors for Learning Identity Relations. CoRR (2020)
Joaquin Perez-Lapillo, Oleksandr Galkin, Tillman Weyde
Improving Singing Voice Separation with the Wave-U-Net Using Minimum Hyperspherical Energy. ICASSP (2020)
Enrico Lopedoto, Tillman Weyde
ReLEx: Regularisation for Linear Extrapolation in Neural Networks with Rectified Linear Units. SGAI Conf. (2020)
Eric Guizzo, Tillman Weyde, Jack Barnett Leveson
Multi-Time-Scale Convolution for Emotion Recognition from Speech Audio Signals. ICASSP (2020)
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)
Can Koluman, Christopher Child, Tillman Weyde
Modelling Emotion Based Reward Valuation with Computational Reinforcement Learning. CogSci (2019)
Radha Manisha Kopparti, Tillman Weyde
Factors for the Generalisation of Identity Relations by Neural Networks. CoRR (2019)
Andreas Jansson, Rachel M. Bittner, Sebastian Ewert, Tillman Weyde
Joint Singing Voice Separation and F0 Estimation with Deep U-Net Architectures. EUSIPCO (2019)
Joaquin Perez-Lapillo, Oleksandr Galkin, Tillman Weyde
Improving singing voice separation with the Wave-U-Net using Minimum Hyperspherical Energy. CoRR (2019)
Asmaa Mahdi, Tillman Weyde, Dhiya Al-Jumeily
Comparing Unsupervised Layers in Neural Networks for Financial Time Series Prediction. DeSE (2019)
Tim Laibacher, Tillman Weyde, Sepehr Jalali
M2U-Net: Effective and Efficient Retinal Vessel Segmentation for Real-World Applications. CVPR Workshops (2019)
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)
Toby Staines, Tillman Weyde, Oleksandr Galkin
Monaural Speech Separation with Deep Learning Using Phase Modelling and Capsule Networks. EUSIPCO (2019)
Tillman Weyde, Radha Manisha Koppart
Modelling Identity Rules with Neural Networks. FLAP 6 (4) (2019)
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 (2019)
Daniel Philps, Artur S. d'Avila Garcez, Tillman Weyde
Making Good on LSTMs Unfulfilled Promise. CoRR (2019)
Tillman Weyde, Radha Manisha Kopparti
Modelling Identity Rules with Neural Networks. CoRR (2018)
Daniel Philps, Tillman Weyde, Artur S. d'Avila Garcez, Roy Batchelor
Continual Learning Augmented Investment Decisions. CoRR (2018)
Tillman Weyde, Radha Manisha Kopparti
Feed-Forward Neural Networks Need Inductive Bias to Learn Equality Relations. CoRR (2018)
Tim Laibacher, Tillman Weyde, Sepehr Jalali
M2U-Net: Effective and Efficient Retinal Vessel Segmentation for Resource-Constrained Environments. CoRR (2018)
Craig Macartney, Tillman Weyde
Improved Speech Enhancement with the Wave-U-Net. CoRR (2018)
Reinier de Valk, Tillman Weyde
Deep Neural Networks with Voice Entry Estimation Heuristics for Voice Separation in Symbolic Music Representations. ISMIR (2018)
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) (2017)
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)
Srikanth Cherla, Son N. Tran, Artur S. d'Avila Garcez, Tillman Weyde
Generalising the Discriminative Restricted Boltzmann Machines. ICANN (2) (2017)
Vytaute Kedyte, Maria Panteli, Tillman Weyde, Simon Dixon
Geographical Origin Prediction of Folk Music Recordings from the United Kingdom. ISMIR (2017)
Asmaa Mahdi, Tillman Weyde, Dhiya Al-Jumeily
The FL-SMIA Network: A Novel Architecture for Time Series Prediction. DeSE (2017)
Son N. Tran, Srikanth Cherla, Artur S. d'Avila Garcez, Tillman Weyde
The Recurrent Temporal Discriminative Restricted Boltzmann Machines. CoRR (2017)
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)
Andrew John Lambert, Tillman Weyde, Newton Armstrong
Adaptive Frequency Neural Networks for Dynamic Pulse and Metre Perception. ISMIR (2016)
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)
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)
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)
Gissel Velarde, Tillman Weyde, Carlos Eduardo Cancino Chacón, David Meredith, Maarten Grachten
Composer Recognition Based on 2D-Filtered Piano-Rolls. ISMIR (2016)
Srikanth Cherla, Son N. Tran, Tillman Weyde, Artur S. d'Avila Garcez
Generalising the Discriminative Restricted Boltzmann Machine. CoRR (2016)
Emmanouil Benetos, Tillman Weyde
An Efficient Temporally-Constrained Probabilistic Model for Multiple-Instrument Music Transcription. ISMIR (2015)
Srikanth Cherla, Son N. Tran, Artur S. d'Avila Garcez, Tillman Weyde
Discriminative learning and inference in the Recurrent Temporal RBM for melody modelling. IJCNN (2015)
Daniel Wolff, Andrew MacFarlane, Tillman Weyde
Comparative Music Similarity Modelling Using Transfer Learning Across User Groups. ISMIR (2015)
Srikanth Cherla, Son N. Tran, Tillman Weyde, Artur S. d'Avila Garcez
Hybrid Long- and Short-Term Models of Folk Melodies. ISMIR (2015)
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)
Daniel Wolff, Dan Tidhar, Emmanouil Benetos, Edouard Dumon, Srikanth Cherla, Tillman Weyde
Incremental Dataset Definition for Large Scale Musicological Research. DLfM@JCDL (2014)
Srikanth Cherla, Tillman Weyde, Artur S. d'Avila Garcez
Multiple Viewpiont Melodic Prediction with Fixed-Context Neural Networks. ISMIR (2014)
Emmanouil Benetos, Andreas Jansson, Tillman Weyde
Improving Automatic Music Transcription Through Key Detection. Semantic Audio (2014)
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)
Emmanouil Benetos, Sebastian Ewert, Tillman Weyde
Automatic transcription of pitched and unpitched sounds from polyphonic music. ICASSP (2014)
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)
Daniel Wolff, Tillman Weyde
Learning music similarity from relative user ratings. Inf. Retr. 17 (2) (2014)
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)
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 (2014)
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)
Andrew John Lambert, Tillman Weyde, Newton Armstrong
Studying the Effect of Metre Perception on Rhythm and Melody Modelling with LSTMs. MUME@AIIDE (2014)
Emmanouil Benetos, Roland Badeau, Tillman Weyde, Gaël Richard
Template Adaptation for Improving Automatic Music Transcription. ISMIR (2014)
Andrew John Lambert, Tillman Weyde, Newton Armstrong
Beyond the Beat: Towards Metre, Rhythm and Melody Modelling with Hybrid Oscillator Networks. ICMC (2014)
Srikanth Cherla, Tillman Weyde, Artur S. d'Avila Garcez, Marcus T. Pearce
A Distributed Model For Multiple-Viewpoint Melodic Prediction. ISMIR (2013)
Reinier de Valk, Tillman Weyde, Emmanouil Benetos
A Machine Learning Approach to Voice Separation in Lute Tablature. ISMIR (2013)
Emmanouil Benetos, Tillman Weyde
Explicit Duration Hidden Markov Models for Multiple-Instrument Polyphonic Music Transcription. ISMIR (2013)
Tillman Weyde, Gregory G. Slabaugh, Gauthier Fontaine, Christoph Bederna
Predicting Aquaplaning Performance from Tyre Profile Images with Machine Learning. ICIAR (2013)
Daniel Wolff, Tillman Weyde
Adapting similarity on the MagnaTagATune database: effects of model and feature choices. WWW (Companion Volume) (2012)
Daniel Wolff, Sebastian Stober, Andreas Nürnberger, Tillman Weyde
A Systematic Comparison of Music Similarity Adaptation Approaches. ISMIR (2012)
Daniel Wolff, Tillman Weyde
Adapting Metrics for Music Similarity Using Comparative Ratings. ISMIR (2011)
Daniel Wolff, Tillman Weyde
Combining Sources of Description for Approximating Music Similarity Ratings. Adaptive Multimedia Retrieval (2011)
Kia Ng, Tillman Weyde, Paolo Nesi
I-Maestro: Technology-Enhanced Learning for Music. ICMC (2008)
Tillman Weyde, Jens Wissmann, Kerstin Neubarth
An Experiment on the Role of Pitch Intervals in Melodic Segmentation. ISMIR (2007)
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)
Tillman Weyde, Christian Datzko
Efficient Melody Retrieval with Motif Contour Classes. ISMIR (2005)
Tillman Weyde
The Influence of Pitch on Melodic Segmentation. ISMIR (2004)

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Publication Activity (10 Years)

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Tillman Weyde