Tillman Weyde

Tillman Weyde, Eric Guizzo, Jack Barnett Leveson, 2020, ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

A Systemic Approach to Music Performance Learning with Multimodal Technology Support

Tillman Weyde, Kia Ng, Bee Ong, 2007 .

Improved Speech Enhancement with the Wave-U-Net pdf

Tillman Weyde, Craig Macartney, Tillman Weyde, 2018, ArXiv.

Singing Voice Separation with Deep U-Net Convolutional Networks

Tillman Weyde, Rachel M. Bittner, Andreas Jansson, 2017, ISMIR.

Using ontologies to enhance human understandability of global post-hoc explanations of black-box models

Tillman Weyde, Fermín Moscoso del Prado Martín, Tarek R. Besold, 2021, Artif. Intell..

Anti-transfer learning for task invariance in convolutional neural networks for speech processing

Tillman Weyde, Giacomo Tarroni, Eric Guizzo, 2021, Neural Networks.

Convolution-based classification of audio and symbolic representations of music

Tillman Weyde, Carlos Eduardo Cancino Chacón, Maarten Grachten, 2018 .

Comparing Unsupervised Layers in Neural Networks for Financial Time Series Prediction

Tillman Weyde, Dhiya Al-Jumeily, Asmaa Mahdi, 2019, 2019 12th International Conference on Developments in eSystems Engineering (DeSE).

NeSy4VRD: A Multifaceted Resource for Neurosymbolic AI Research using Knowledge Graphs in Visual Relationship Detection

Ernesto Jiménez-Ruiz, G. Tarroni, Tillman Weyde, 2023, ArXiv.

Using Diagrams for the Semantic Annotation of Multimedia

J. Wissmann, T. Weyde, Tillman Weyde, 2007, Third International Conference on Automated Production of Cross Media Content for Multi-Channel Distribution (AXMEDIS'07).

Discriminative learning and inference in the Recurrent Temporal RBM for melody modelling

Tillman Weyde, Artur S. d'Avila Garcez, Srikanth Cherla, 2015, 2015 International Joint Conference on Neural Networks (IJCNN).

Hybrid Long- and Short-Term Models of Folk Melodies

Tillman Weyde, Artur S. d'Avila Garcez, Srikanth Cherla, 2015, ISMIR.

Towards a Unified Model for Generating Answers and Explanations in Visual Question Answering

Tillman Weyde, P. Madhyastha, Chenxi Whitehouse, 2023, FINDINGS.

Evaluation of Fake News Detection with Knowledge-Enhanced Language Models

Tillman Weyde, P. Madhyastha, N. Komninos, 2022, ICWSM.

An Efficient Temporally-Constrained Probabilistic Model for Multiple-Instrument Music Transcription

Tillman Weyde, Emmanouil Benetos, Emmanouil Benetos, 2015, ISMIR.

The Digital Music Lab

Daniel Wolff, Tillman Weyde, Steven Hargreaves, 2017 .

Relational Weight Priors in Neural Networks for Abstract Pattern Learning and Language Modelling pdf

Tillman Weyde, Radha Kopparti, Tillman Weyde, 2021, ArXiv.

What makes a good explanation? Cognitive dimensions of explaining intelligent machines

Tillman Weyde, Patrick Shafto, Tarek R. Besold, 2019, CogSci.

Integrating Segmentation and Similarity in Melodic Analysis

Tillman Weyde, Tillman Weyde, 2002 .

M2U-Net: Effective and Efficient Retinal Vessel Segmentation for Real-World Applications

Tillman Weyde, Tim Laibacher, Sepehr Jalali, 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

Explicit Duration Hidden Markov Models for Multiple-Instrument Polyphonic Music Transcription

Tillman Weyde, Emmanouil Benetos, Emmanouil Benetos, 2013, ISMIR.

Concepts of the MUSITECH infrastructure for Internet-based interactive musical applications

Tillman Weyde, Martin Gieseking, Tillman Weyde, 2002, Second International Conference on Web Delivering of Music, 2002. WEDELMUSIC 2002. Proceedings..

M2U-Net: Effective and Efficient Retinal Vessel Segmentation for Resource-Constrained Environments pdf

Tillman Weyde, Tim Laibacher, Sepehr Jalali, 2018, ArXiv.

3d augmented mirror: a multimodal interface for string instrument learning and teaching with gesture support

Tillman Weyde, Kia Ng, Bee Ong, 2007, ICMI '07.

The Influence of Pitch on Melodic Segmentation

Tillman Weyde, Tillman Weyde, 2004, ISMIR.

Incremental Dataset Definition for Large Scale Musicological Research

Daniel Wolff, Tillman Weyde, Dan Tidhar, 2014, DLfM '14.

Blissful Ignorance: Anti-Transfer Learning for Task Invariance pdf

Tillman Weyde, Eric Guizzo, Giacomo Tarroni, 2020, ArXiv.

An approach to melodic segmentation and classification based on filtering with the Haar-wavelet

Tillman Weyde, David Meredith, Gissel Velarde, 2013 .

Wavelet-filtering of symbolic music representations for folk tune segmentation and classification

Tillman Weyde, David Meredith, Gissel Velarde, 2013 .

Sequence Classification Restricted Boltzmann Machines With Gated Units

Tillman Weyde, Artur d'Avila Garcez, Qing Zhang, 2020, IEEE Transactions on Neural Networks and Learning Systems.

Linear-Time Sequence Classification using Restricted Boltzmann Machines

Tillman Weyde, Srikanth Cherla, Son N. Tran, 2017 .

The Recurrent Temporal Discriminative Restricted Boltzmann Machines pdf

Tillman Weyde, Artur S. d'Avila Garcez, Srikanth Cherla, 2017, ArXiv.

An RNN-based Music Language Model for Improving Automatic Music Transcription

Tillman Weyde, Artur S. d'Avila Garcez, Simon Dixon, 2014, ISMIR.

Composer Recognition Based on 2D-Filtered Piano-Rolls

Tillman Weyde, Carlos Eduardo Cancino Chacón, Maarten Grachten, 2016, ISMIR.

MULTIPLE-F 0 ESTIMATION AND NOTE TRACKING FOR MIREX 2015 USING A SOUND STATE-BASED SPECTROGRAM FACTORIZATION MODEL

Tillman Weyde, Emmanouil Benetos, Emmanouil Benetos, 2015 .

Learning Speech Emotion Representations in the Quaternion Domain

D. Comminiello, Tillman Weyde, E. Guizzo, 2022, IEEE/ACM Transactions on Audio, Speech, and Language Processing.

Improving Singing Voice Separation with the Wave-U-Net Using Minimum Hyperspherical Energy

Tillman Weyde, Joaquin Perez-Lapillo, Oleksandr Galkin, 2019, ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Joint Singing Voice Separation and F0 Estimation with Deep U-Net Architectures

Tillman Weyde, Rachel M. Bittner, Andreas Jansson, 2019, 2019 27th European Signal Processing Conference (EUSIPCO).

Continual Learning Augmented Investment Decisions pdf

Tillman Weyde, Artur S. d'Avila Garcez, Roy Batchelor, 2018, ArXiv.

Formal and Empirical Studies of Counting Behaviour in ReLU RNNs

Tillman Weyde, François Coste, P. Madhyastha, 2023, ICGI.

A social network integrated game experiment to relate tapping to speed perception and explore rhythm reproduction

Daniel Wolff, Tillman Weyde, Anders Friberg, 2013 .

Adaptive Frequency Neural Networks for Dynamic Pulse and Metre Perception

Tillman Weyde, Andrew John Lambert, Newton Armstrong, 2016, ISMIR.

Theoretical Conditions and Empirical Failure of Bracket Counting on Long Sequences with Linear Recurrent Networks

Tillman Weyde, P. Madhyastha, Nadine El-Naggar, 2023, EACL.

City, University of London Institutional Repository

Emmanouil Benetos, Tillman Weyde, Andreas Jansson, 2022 .

Jazz Contrafact Detection

C. Bunks, Tillman Weyde, 2022, ArXiv.

M2U-Net: Effective and Efficient Retinal Vessel Segmentation for Real-World Applications

Tillman Weyde, Tim Laibacher, Sepehr Jalali, 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

Chord- and Note-Based Approaches to Voice Separation

Tillman Weyde, Reinier de Valk, Tillman Weyde, 2016, Computational Music Analysis.

ReLEx: Regularisation for Linear Extrapolation in Neural Networks with Rectified Linear Units

Tillman Weyde, Enrico Lopedoto, Tillman Weyde, 2020, SGAI Conf..

Factors for the Generalisation of Identity Relations by Neural Networks

Tillman Weyde, R. Kopparti, 2019, ArXiv.

Modelling Identity Rules with Neural Networks pdf

Tillman Weyde, Radha Manisha Kopparti, Tillman Weyde, 2018, FLAP.

Feed-Forward Neural Networks Need Inductive Bias to Learn Equality Relations pdf

Tillman Weyde, Radha Manisha Kopparti, Tillman Weyde, 2018, ArXiv.

Experiments in Learning Dyck-1 Languages with Recurrent Neural Networks

Tillman Weyde, P. Madhyastha, Nadine El-Naggar, 2022, HLC.

Adapting Metrics for Music Similarity Using Comparative Ratings

Tillman Weyde, Daniel Wolff, 2011, International Society for Music Information Retrieval Conference.

Feature Preprocessing with Restricted Boltzmann Machines for Music Similarity Learning

Daniel Wolff, Tillman Weyde, Artur S. d'Avila Garcez, 2014, Semantic Audio.

Tillman Weyde, Daniel Wolff, 2012, WWW.

Generating Time: Rhythmic Perception, Prediction and Production with Recurrent Neural Networks

Tillman Weyde, Newton Armstrong, Andrew J. Elmsley, 2017 .

Geographical Origin Prediction of Folk Music Recordings from the United Kingdom

Tillman Weyde, Simon Dixon, Maria Panteli, 2017, ISMIR.

Perceiving and predicting expressive rhythm with recurrent neural networks

Tillman Weyde, Andrew John Lambert, Newton Armstrong, 2015 .

Tillman Weyde, Tillman Weyde, 2001, ICMC.

Design and Optimization of Neuro-Fuzzy-Based Recognition of Musical Rhythm Patterns

Tillman Weyde, Klaus Dalinghaus, Tillman Weyde, 2003 .

RECOGNITION OF MUSICAL RHYTHM PATTERNS BASED ON A NEURO-FUZZY-SYSTEM

Tillman Weyde, Klaus Dalinghaus, Tillman Weyde, 2001 .

Knowldege and Learning Based Segmentation and Recognition of Rhythm Using Fuzzy-Prolog

Tillman Weyde, Tillman Weyde, 2000 .

Multiple Viewpiont Melodic Prediction with Fixed-Context Neural Networks

Tillman Weyde, Artur S. d'Avila Garcez, Srikanth Cherla, 2014, ISMIR.

A Distributed Model For Multiple-Viewpoint Melodic Prediction

Tillman Weyde, Artur S. d'Avila Garcez, Marcus T. Pearce, 2013, ISMIR.

A Neural Probabilistic Model for Predicting Melodic Sequences

Tillman Weyde, Srikanth Cherla, Artur S. d'Avila Garcez, 2013 .

Monaural Speech Separation with Deep Learning Using Phase Modelling and Capsule Networks

Tillman Weyde, Toby Staines, Oleksandr Galkin, 2019, 2019 27th European Signal Processing Conference (EUSIPCO).

Accuracy and Interpretability Trade-Offs in Machine Learning Applied to Safer Gambling

Tillman Weyde, Artur S. d'Avila Garcez, Gregory G. Slabaugh, 2016, CoCo@NIPS.

The Need for Knowledge Extraction: Understanding Harmful Gambling Behavior with Neural Networks

Tillman Weyde, Artur S. d'Avila Garcez, Gregory G. Slabaugh, 2016, ECAI.