Tillman Weyde

Orcid: 0000-0001-8028-9905

According to our database1, Tillman Weyde authored at least 104 papers between 2001 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
OWL2Vec4OA: Tailoring Knowledge Graph Embeddings for Ontology Alignment.
CoRR, 2024

When to Accept Automated Predictions and When to Defer to Human Judgment?
CoRR, 2024

The Misclassification Likelihood Matrix: Some Classes Are More Likely To Be Misclassified Than Others.
CoRR, 2024

Derivative-based regularization for regression.
CoRR, 2024

DATE: Derivative Alignment Training for Extrapolation with Neural Networks.
Proceedings of the Artificial Intelligence XLI, 2024

Denoising Diffusion Probabilistic Model for Realistic Financial Correlation Matrices.
Proceedings of the 5th ACM International Conference on AI in Finance, 2024

Machine Learning for Performance Prediction of Data Distribution Service (DDS).
Proceedings of the 19th European Dependable Computing Conference, 2024

JazzDAP: Collaborative Research Tools for Digital Jazz Archives.
Proceedings of the 11th International Conference on Digital Libraries for Musicology, 2024

2023
NeSy4VRD: A Multifaceted Resource for Neurosymbolic AI Research using Knowledge Graphs in Visual Relationship Detection.
Dataset, May, 2023

NeSy4VRD: A Multifaceted Resource for Neurosymbolic AI Research using Knowledge Graphs in Visual Relationship Detection.
Dataset, May, 2023

NeSy4VRD: A Multifaceted Resource for Neurosymbolic AI Research using Knowledge Graphs in Visual Relationship Detection.
Dataset, May, 2023

Learning Speech Emotion Representations in the Quaternion Domain.
IEEE ACM Trans. Audio Speech Lang. Process., 2023

Improved Data Generation for Enhanced Asset Allocation: A Synthetic Dataset Approach for the Fixed Income Universe.
CoRR, 2023

NeSy4VRD: A Multifaceted Resource for Neurosymbolic AI Research using Knowledge Graphs in Visual Relationship Detection.
CoRR, 2023

Quaternion Anti-Transfer Learning for Speech Emotion Recognition.
Proceedings of the IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2023

On the Benefits of OWL-based Knowledge Graphs for Neural-Symbolic Systems.
Proceedings of the 17th International Workshop on Neural-Symbolic Learning and Reasoning, 2023

Modeling Harmonic Similarity for Jazz Using Co-occurrence Vectors and the Membrane Area.
Proceedings of the 24th International Society for Music Information Retrieval Conference, 2023

Formal and Empirical Studies of Counting Behaviour in ReLU RNNs.
Proceedings of the International Conference on Grammatical Inference, 2023

Towards a Unified Model for Generating Answers and Explanations in Visual Question Answering.
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023

Theoretical Conditions and Empirical Failure of Bracket Counting on Long Sequences with Linear Recurrent Networks.
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics: EACL 2023, 2023

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

Exploring the Long-Term Generalization of Counting Behavior in RNNs.
CoRR, 2022

Jazz Contrafact Detection.
CoRR, 2022

Visualization of Tonal Harmony for Jazz Lead Sheets.
Proceedings of the 24th Eurographics Conference on Visualization, 2022

Evaluation of Fake News Detection with Knowledge-Enhanced Language Models.
Proceedings of the Sixteenth International AAAI Conference on Web and Social Media, 2022

Experiments in Learning Dyck-1 Languages with Recurrent Neural Networks.
Proceedings of the 3rd Human-Like Computing Workshop (HLC 2022) co-located with the 2nd International Joint Conference on Learning and Reasoning (IJCLR 2022), 2022

2021
Anti-transfer learning for task invariance in convolutional neural networks for speech processing.
Neural Networks, 2021

Learned complex masks for multi-instrument source separation.
CoRR, 2021

Relational Weight Priors in Neural Networks for Abstract Pattern Learning and Language Modelling.
CoRR, 2021

Using ontologies to enhance human understandability of global post-hoc explanations of black-box models.
Artif. Intell., 2021

Using Ontologies for Human-understandable Explanations of Black-box Models (Extended Abstract).
Proceedings of the Workshop on Data meets Applied Ontologies in Explainable AI (DAO-XAI 2021) part of Bratislava Knowledge September (BAKS 2021), 2021

2020
Sequence Classification Restricted Boltzmann Machines With Gated Units.
IEEE Trans. Neural Networks Learn. Syst., 2020

Blissful Ignorance: Anti-Transfer Learning for Task Invariance.
CoRR, 2020

Weight Priors for Learning Identity Relations.
CoRR, 2020

ReLEx: Regularisation for Linear Extrapolation in Neural Networks with Rectified Linear Units.
Proceedings of the Artificial Intelligence XXXVII, 2020

Improving Singing Voice Separation with the Wave-U-Net Using Minimum Hyperspherical Energy.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Multi-Time-Scale Convolution for Emotion Recognition from Speech Audio Signals.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

TREPAN Reloaded: A Knowledge-Driven Approach to Explaining Black-Box Models.
Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

2019
Modelling Identity Rules with Neural Networks.
FLAP, 2019

Making Good on LSTMs Unfulfilled Promise.
CoRR, 2019

An Ontology-based Approach to Explaining Artificial Neural Networks.
CoRR, 2019

Factors for the Generalisation of Identity Relations by Neural Networks.
CoRR, 2019

Towards a Multimodal Time-Based Empathy Prediction System.
Proceedings of the 14th IEEE International Conference on Automatic Face & Gesture Recognition, 2019

Monaural Speech Separation with Deep Learning Using Phase Modelling and Capsule Networks.
Proceedings of the 27th European Signal Processing Conference, 2019

Joint Singing Voice Separation and F0 Estimation with Deep U-Net Architectures.
Proceedings of the 27th European Signal Processing Conference, 2019

Comparing Unsupervised Layers in Neural Networks for Financial Time Series Prediction.
Proceedings of the 12th International Conference on Developments in eSystems Engineering, 2019

M2U-Net: Effective and Efficient Retinal Vessel Segmentation for Real-World Applications.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

Modelling Emotion Based Reward Valuation with Computational Reinforcement Learning.
Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

What makes a good explanation? Cognitive dimensions of explaining intelligent machines.
Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

2018
Continual Learning Augmented Investment Decisions.
CoRR, 2018

Feed-Forward Neural Networks Need Inductive Bias to Learn Equality Relations.
CoRR, 2018

Improved Speech Enhancement with the Wave-U-Net.
CoRR, 2018

M2U-Net: Effective and Efficient Retinal Vessel Segmentation for Resource-Constrained Environments.
CoRR, 2018

Deep Neural Networks with Voice Entry Estimation Heuristics for Voice Separation in Symbolic Music Representations.
Proceedings of the 19th International Society for Music Information Retrieval Conference, 2018

2017
The Digital Music Lab: A Big Data Infrastructure for Digital Musicology.
ACM Journal on Computing and Cultural Heritage, 2017

The Recurrent Temporal Discriminative Restricted Boltzmann Machines.
CoRR, 2017

Geographical Origin Prediction of Folk Music Recordings from the United Kingdom.
Proceedings of the 18th International Society for Music Information Retrieval Conference, 2017

Singing Voice Separation with Deep U-Net Convolutional Networks.
Proceedings of the 18th International Society for Music Information Retrieval Conference, 2017

Generalising the Discriminative Restricted Boltzmann Machines.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2017, 2017

The FL-SMIA Network: A Novel Architecture for Time Series Prediction.
Proceedings of the 10th International Conference on Developments in eSystems Engineering, 2017

2016
Generalising the Discriminative Restricted Boltzmann Machine.
CoRR, 2016

Accuracy and Interpretability Trade-Offs in Machine Learning Applied to Safer Gambling.
Proceedings of the Workshop on Cognitive Computation: Integrating neural and symbolic approaches 2016 co-located with the 30th Annual Conference on Neural Information Processing Systems (NIPS 2016), 2016

Composer Recognition Based on 2D-Filtered Piano-Rolls.
Proceedings of the 17th International Society for Music Information Retrieval Conference, 2016

Adaptive Frequency Neural Networks for Dynamic Pulse and Metre Perception.
Proceedings of the 17th International Society for Music Information Retrieval Conference, 2016

The "Beyond the Fence" Musical and "Computer Says Show" Documentary.
Proceedings of the Seventh International Conference on Computational Creativity, 2016

Digital music lab: A framework for analysing big music data.
Proceedings of the 24th European Signal Processing Conference, 2016

The Need for Knowledge Extraction: Understanding Harmful Gambling Behavior with Neural Networks.
Proceedings of the ECAI 2016 - 22nd European Conference on Artificial Intelligence, 29 August-2 September 2016, The Hague, The Netherlands, 2016

Chord- and Note-Based Approaches to Voice Separation.
Proceedings of the Computational Music Analysis, 2016

A Wavelet-Based Approach to Pattern Discovery in Melodies.
Proceedings of the Computational Music Analysis, 2016

2015
Comparative Music Similarity Modelling Using Transfer Learning Across User Groups.
Proceedings of the 16th International Society for Music Information Retrieval Conference, 2015

Hybrid Long- and Short-Term Models of Folk Melodies.
Proceedings of the 16th International Society for Music Information Retrieval Conference, 2015

An Efficient Temporally-Constrained Probabilistic Model for Multiple-Instrument Music Transcription.
Proceedings of the 16th International Society for Music Information Retrieval Conference, 2015

Discriminative learning and inference in the Recurrent Temporal RBM for melody modelling.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

A hybrid recurrent neural network for music transcription.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

2014
Learning music similarity from relative user ratings.
Inf. Retr., 2014

Creating Audio Based Experiments as Social Web Games with the CASimIR Framework.
Proceedings of the AES International Conference on Semantic Audio 2014, 2014

Feature Preprocessing with Restricted Boltzmann Machines for Music Similarity Learning.
Proceedings of the AES International Conference on Semantic Audio 2014, 2014

Improving Automatic Music Transcription Through Key Detection.
Proceedings of the AES International Conference on Semantic Audio 2014, 2014

Incremental Dataset Definition for Large Scale Musicological Research.
Proceedings of the 1st International Workshop on Digital Libraries for Musicology, 2014


An RNN-based Music Language Model for Improving Automatic Music Transcription.
Proceedings of the 15th International Society for Music Information Retrieval Conference, 2014

Multiple Viewpiont Melodic Prediction with Fixed-Context Neural Networks.
Proceedings of the 15th International Society for Music Information Retrieval Conference, 2014

Template Adaptation for Improving Automatic Music Transcription.
Proceedings of the 15th International Society for Music Information Retrieval Conference, 2014

Beyond the Beat: Towards Metre, Rhythm and Melody Modelling with Hybrid Oscillator Networks.
Proceedings of the Music Technology meets Philosophy, 2014

Automatic transcription of pitched and unpitched sounds from polyphonic music.
Proceedings of the IEEE International Conference on Acoustics, 2014

Studying the Effect of Metre Perception on Rhythm and Melody Modelling with LSTMs.
Proceedings of the Musical Metacreation, 2014

2013
A Machine Learning Approach to Voice Separation in Lute Tablature.
Proceedings of the 14th International Society for Music Information Retrieval Conference, 2013

A Distributed Model For Multiple-Viewpoint Melodic Prediction.
Proceedings of the 14th International Society for Music Information Retrieval Conference, 2013

Explicit Duration Hidden Markov Models for Multiple-Instrument Polyphonic Music Transcription.
Proceedings of the 14th International Society for Music Information Retrieval Conference, 2013

Predicting Aquaplaning Performance from Tyre Profile Images with Machine Learning.
Proceedings of the Image Analysis and Recognition - 10th International Conference, 2013

2012
Adapting similarity on the MagnaTagATune database: effects of model and feature choices.
Proceedings of the 21st World Wide Web Conference, 2012

A Systematic Comparison of Music Similarity Adaptation Approaches.
Proceedings of the 13th International Society for Music Information Retrieval Conference, 2012

2011
Adapting Metrics for Music Similarity Using Comparative Ratings.
Proceedings of the 12th International Society for Music Information Retrieval Conference, 2011

Combining Sources of Description for Approximating Music Similarity Ratings.
Proceedings of the Adaptive Multimedia Retrieval. Large-Scale Multimedia Retrieval and Evaluation, 2011

2008
I-Maestro: Technology-Enhanced Learning for Music.
Proceedings of the 2008 International Computer Music Conference, 2008

2007
An Experiment on the Role of Pitch Intervals in Melodic Segmentation.
Proceedings of the 8th International Conference on Music Information Retrieval, 2007

3d augmented mirror: a multimodal interface for string instrument learning and teaching with gesture support.
Proceedings of the 9th International Conference on Multimodal Interfaces, 2007

2005
Efficient Melody Retrieval with Motif Contour Classes.
Proceedings of the ISMIR 2005, 2005

2004
The Influence of Pitch on Melodic Segmentation.
Proceedings of the ISMIR 2004, 2004

2003
Lern- und wissensbasierte Analyse musikalischer Rhythmen: Konzeption, Entwicklung und Evaluation eines Neuro-Fuzzy-Systems für die Erkennung rhythmischer Strukturen.
PhD thesis, 2003

Structure recognition on sequences with a neuro-fuzzy-system.
Proceedings of the 3rd Conference of the European Society for Fuzzy Logic and Technology, 2003

2002
Concepts of the MUSITECH Infrastructure for Internet-Based Interactive Musical Applications.
Proceedings of the Second International Conference on WEB Delivering of Music, 2002

Opuscope - Towards a Corpus-Based Music Repository.
Proceedings of the ISMIR 2002, 2002

2001
Grouping, Similarity and the Recognition of Rhythmic Structure.
Proceedings of the 2001 International Computer Music Conference, 2001


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