Tillman Weyde - RankMe

125 papers A 3B 7C 4Misc 5Journal 45Unranked 58

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	KG-CRAFT: Knowledge Graph-based Contrastive Reasoning with LLMs for Enhancing Automated Fact-checking. EACL (Volume 1: Long Papers) Vítor Lourenço, Aline Paes, Tillman Weyde, Audrey Depeige, Mohnish Dubey
2026	J	`jnl`	KG-CRAFT: Knowledge Graph-based Contrastive Reasoning with LLMs for Enhancing Automated Fact-checking. CoRR Vítor N. Lourenço, Aline Paes, Tillman Weyde, Audrey Depeige, Mohnish Dubey
2025	J	`jnl`	An approach to melodic segmentation and classification based on filtering with the Haar-wavelet. CoRR Gissel Velarde, Tillman Weyde, David Meredith
2025	B	`conf`	Data Driven Derivative-based Regularization for Regression. IJCNN Enrico Lopedoto, Kizito Salako, Maksim Shekhunov, Vitaly Aksenov, Tillman Weyde
2025	J	`jnl`	Disentangling concept semantics via multilingual averaging in Sparse Autoencoders. CoRR Cliff O'Reilly, Ernesto Jiménez-Ruiz, Tillman Weyde
2025	J	`jnl`	Evaluating LLMs for Combinatorial Optimization: One-Phase and Two-Phase Heuristics for 2D Bin-Packing. CoRR Syed Mahbubul Huq, Daniel Brito, Daniel Sikar, Chris Child, Tillman Weyde, Rajesh Mojumder
2025	J	`jnl`	Explorations of the Softmax Space: Knowing When the Neural Network Doesn't Know... CoRR Daniel Sikar, Artur d'Avila Garcez, Tillman Weyde
2025	—	`conf`	Exploring Content and Social Connections of Fake News with Explainable Text and Graph Learning. BRACIS (3) Vítor N. Lourenço, Aline Paes, Tillman Weyde
2025	J	`jnl`	Exploring Content and Social Connections of Fake News with Explainable Text and Graph Learning. CoRR Vítor N. Lourenço, Aline Paes, Tillman Weyde
2025	—	`conf`	MacroVAE: Counterfactual Financial Scenario Generation via Macroeconomic Conditioning. ICAIF Szymon Kubiak, Tillman Weyde, Oleksandr Galkin, Daniel Philps, Ram Gopal
2025	B	`conf`	ORSA-T: Multi-View Object-Centric Scene Representation Learning with Slot Attention and Transformer. IJCNN Henri Placek, Chris Child, Tillman Weyde
2025	—	`conf`	Results of OWL2Vec4OA in the OAEI 2025. OM@ISWC Sevinj Teymurova, Ernesto Jiménez-Ruiz, Tillman Weyde
2025	J	`jnl`	Wavelet-Filtering of Symbolic Music Representations for Folk Tune Segmentation and Classification. CoRR Gissel Velarde, Tillman Weyde, David Meredith
2024	—	`conf`	DATE: Derivative Alignment Training for Extrapolation with Neural Networks. SGAI Conf. (1) Enrico Lopedoto, Tillman Weyde, Kizito Salako
2024	—	`conf`	Denoising Diffusion Probabilistic Model for Realistic Financial Correlation Matrices. ICAIF Szymon Kubiak, Tillman Weyde, Oleksandr Galkin, Daniel Philps, Ram Gopal
2024	J	`jnl`	Derivative-based regularization for regression. CoRR Enrico Lopedoto, Maksim Shekhunov, Vitaly Aksenov, Kizito Salako, Tillman Weyde
2024	—	`conf`	JazzDAP: Collaborative Research Tools for Digital Jazz Archives. DLfM Kevin Allain, Tillman Weyde
2024	Misc	`conf`	Machine Learning for Performance Prediction of Data Distribution Service (DDS). EDCC Kaleem Peeroo, Peter Popov, Vladimir Stankovic, Tillman Weyde
2024	—	`conf`	OWL2Vec4OA: Tailoring Knowledge Graph Embeddings for Ontology Alignment. KGSWC Sevinj Teymurova, Ernesto Jiménez-Ruiz, Tillman Weyde, Jiaoyan Chen
2024	J	`jnl`	OWL2Vec4OA: Tailoring Knowledge Graph Embeddings for Ontology Alignment. CoRR Sevinj Teymurova, Ernesto Jiménez-Ruiz, Tillman Weyde, Jiaoyan Chen
2024	J	`jnl`	The Misclassification Likelihood Matrix: Some Classes Are More Likely To Be Misclassified Than Others. CoRR Daniel Sikar, Artur d'Avila Garcez, Robin Bloomfield, Tillman Weyde, Kaleem Peeroo, Naman Singh, Maeve Hutchinson, Mirela Reljan-Delaney
2024	—	`conf`	Towards Tailoring Ontology Embeddings for Ontology Matching Tasks. OM@ISWC Sevinj Teymurova, Ernesto Jiménez-Ruiz, Tillman Weyde, Jiaoyan Chen
2024	J	`jnl`	When to Accept Automated Predictions and When to Defer to Human Judgment? CoRR Daniel Sikar, Artur d'Avila Garcez, Tillman Weyde, Robin Bloomfield, Kaleem Peeroo
2023	—	`conf`	Formal and Empirical Studies of Counting Behaviour in ReLU RNNs. ICGI Nadine El-Naggar, Andrew Ryzhikov, Laure Daviaud, Pranava Madhyastha, Tillman Weyde
2023	J	`jnl`	Improved Data Generation for Enhanced Asset Allocation: A Synthetic Dataset Approach for the Fixed Income Universe. CoRR Szymon Kubiak, Tillman Weyde, Oleksandr Galkin, Daniel Philps, Ram Gopal
2023	J	`jnl`	Learning Speech Emotion Representations in the Quaternion Domain. IEEE ACM Trans. Audio Speech Lang. Process. Eric Guizzo, Tillman Weyde, Simone Scardapane, Danilo Comminiello
2023	—	`conf`	Modeling Harmonic Similarity for Jazz Using Co-occurrence Vectors and the Membrane Area. ISMIR Carey Bunks, Tillman Weyde, Simon Dixon, Bruno Di Giorgi
2023	J	`jnl`	NeSy4VRD: A Multifaceted Resource for Neurosymbolic AI Research using Knowledge Graphs in Visual Relationship Detection. CoRR David Herron, Ernesto Jiménez-Ruiz, Giacomo Tarroni, Tillman Weyde
2023	C	`conf`	On the Benefits of OWL-based Knowledge Graphs for Neural-Symbolic Systems. NeSy David Herron, Ernesto Jiménez-Ruiz, Tillman Weyde
2023	—	`conf`	Quaternion Anti-Transfer Learning for Speech Emotion Recognition. WASPAA Eric Guizzo, Tillman Weyde, Giacomo Tarroni, Danilo Comminiello
2023	—	`conf`	Theoretical Conditions and Empirical Failure of Bracket Counting on Long Sequences with Linear Recurrent Networks. EACL (Student Research Workshop) Nadine El-Naggar, Pranava Madhyastha, Tillman Weyde
2023	J	`jnl`	Theoretical Conditions and Empirical Failure of Bracket Counting on Long Sequences with Linear Recurrent Networks. CoRR Nadine El-Naggar, Pranava Madhyastha, Tillman Weyde
2023	—	`conf`	Towards a Unified Model for Generating Answers and Explanations in Visual Question Answering. EACL (Findings) Chenxi Whitehouse, Tillman Weyde, Pranava Madhyastha
2023	J	`jnl`	Towards a Unified Model for Generating Answers and Explanations in Visual Question Answering. CoRR Chenxi Whitehouse, Tillman Weyde, Pranava Madhyastha
2022	A	`conf`	Evaluation of Fake News Detection with Knowledge-Enhanced Language Models. ICWSM Chenxi Whitehouse, Tillman Weyde, Pranava Madhyastha, Nikos Komninos
2022	J	`jnl`	Evaluation of Fake News Detection with Knowledge-Enhanced Language Models. CoRR Chenxi Whitehouse, Tillman Weyde, Pranava Madhyastha, Nikos Komninos
2022	—	`conf`	Experiments in Learning Dyck-1 Languages with Recurrent Neural Networks. HLC Nadine El-Naggar, Pranava Madhyastha, Tillman Weyde
2022	J	`jnl`	Exploring the Long-Term Generalization of Counting Behavior in RNNs. CoRR Nadine El-Naggar, Pranava Madhyastha, Tillman Weyde
2022	J	`jnl`	Jazz Contrafact Detection. CoRR Carey Bunks, Tillman Weyde
2022	J	`jnl`	Learning Speech Emotion Representations in the Quaternion Domain. CoRR Eric Guizzo, Tillman Weyde, Simone Scardapane, Danilo Comminiello
2022	J	`jnl`	The Beyond the Fence Musical and Computer Says Show Documentary. CoRR 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. T. Sturm, Tillman Weyde, Daniel Wolff, James Robert Lloyd
2022	J	`jnl`	The Jazz Ontology: A semantic model and large-scale RDF repositories for jazz. J. Web Semant. 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
2022	—	`conf`	Visualization of Tonal Harmony for Jazz Lead Sheets. EuroVis (Short Papers) Carey Bunks, Tillman Weyde, Aidan Slingsby, Jo Wood
2021	J	`jnl`	Anti-transfer learning for task invariance in convolutional neural networks for speech processing. Neural Networks Eric Guizzo, Tillman Weyde, Giacomo Tarroni
2021	J	`jnl`	Learned complex masks for multi-instrument source separation. CoRR Andreas Jansson, Rachel M. Bittner, Nicola Montecchio, Tillman Weyde
2021	J	`jnl`	Relational Weight Priors in Neural Networks for Abstract Pattern Learning and Language Modelling. CoRR Radha Manisha Kopparti, Tillman Weyde
2021	—	`conf`	Using Ontologies for Human-understandable Explanations of Black-box Models (Extended Abstract). DAO-XAI Roberto Confalonieri, Tillman Weyde, Tarek R. Besold, Fermín Moscoso del Prado Martín
2021	J	`jnl`	Using ontologies to enhance human understandability of global post-hoc explanations of black-box models. Artif. Intell. Roberto Confalonieri, Tillman Weyde, Tarek R. Besold, Fermín Moscoso del Prado Martín
2020	J	`jnl`	Blissful Ignorance: Anti-Transfer Learning for Task Invariance. CoRR Eric Guizzo, Tillman Weyde, Giacomo Tarroni
2020	Misc	`conf`	Improving Singing Voice Separation with the Wave-U-Net Using Minimum Hyperspherical Energy. ICASSP Joaquin Perez-Lapillo, Oleksandr Galkin, Tillman Weyde
2020	Misc	`conf`	Multi-Time-Scale Convolution for Emotion Recognition from Speech Audio Signals. ICASSP Eric Guizzo, Tillman Weyde, Jack Barnett Leveson
2020	J	`jnl`	Multi-Time-Scale Convolution for Emotion Recognition from Speech Audio Signals. CoRR Eric Guizzo, Tillman Weyde, Jack Barnett Leveson
2020	—	`conf`	ReLEx: Regularisation for Linear Extrapolation in Neural Networks with Rectified Linear Units. SGAI Conf. Enrico Lopedoto, Tillman Weyde
2020	J	`jnl`	Sequence Classification Restricted Boltzmann Machines With Gated Units. IEEE Trans. Neural Networks Learn. Syst. Son N. Tran, Artur S. d'Avila Garcez, Tillman Weyde, Jie Yin, Qing Zhang, Mohan Karunanithi
2020	A	`conf`	TREPAN Reloaded: A Knowledge-Driven Approach to Explaining Black-Box Models. ECAI Roberto Confalonieri, Tillman Weyde, Tarek R. Besold, Fermín Moscoso del Prado Martín
2020	J	`jnl`	Weight Priors for Learning Identity Relations. CoRR Radha Manisha Kopparti, Tillman Weyde
2019	J	`jnl`	An Ontology-based Approach to Explaining Artificial Neural Networks. CoRR Roberto Confalonieri, Fermín Moscoso del Prado, Sebastia Agramunt, Daniel Malagarriga, Daniele Faggion, Tillman Weyde, Tarek R. Besold
2019	C	`conf`	Comparing Unsupervised Layers in Neural Networks for Financial Time Series Prediction. DeSE Asmaa Mahdi, Tillman Weyde, Dhiya Al-Jumeily
2019	J	`jnl`	Factors for the Generalisation of Identity Relations by Neural Networks. CoRR Radha Manisha Kopparti, Tillman Weyde
2019	J	`jnl`	Improving singing voice separation with the Wave-U-Net using Minimum Hyperspherical Energy. CoRR Joaquin Perez-Lapillo, Oleksandr Galkin, Tillman Weyde
2019	—	`conf`	Joint Singing Voice Separation and F0 Estimation with Deep U-Net Architectures. EUSIPCO Andreas Jansson, Rachel M. Bittner, Sebastian Ewert, Tillman Weyde
2019	—	`conf`	M2U-Net: Effective and Efficient Retinal Vessel Segmentation for Real-World Applications. CVPR Workshops Tim Laibacher, Tillman Weyde, Sepehr Jalali
2019	J	`jnl`	Making Good on LSTMs Unfulfilled Promise. CoRR Daniel Philps, Artur S. d'Avila Garcez, Tillman Weyde
2019	B	`conf`	Modelling Emotion Based Reward Valuation with Computational Reinforcement Learning. CogSci Can Koluman, Christopher Child, Tillman Weyde
2019	J	`jnl`	Modelling Identity Rules with Neural Networks. FLAP Tillman Weyde, Radha Manisha Koppart
2019	—	`conf`	Monaural Speech Separation with Deep Learning Using Phase Modelling and Capsule Networks. EUSIPCO Toby Staines, Tillman Weyde, Oleksandr Galkin
2019	B	`conf`	Towards a Multimodal Time-Based Empathy Prediction System. FG Francesco Barbieri, Eric Guizzo, Federico Lucchesi, Giovanni Maffei, Fermín Moscoso del Prado Martín, Tillman Weyde
2019	B	`conf`	What makes a good explanation? Cognitive dimensions of explaining intelligent machines. CogSci Roberto Confalonieri, Tarek R. Besold, Tillman Weyde, Kathleen Creel, Tania Lombrozo, Shane T. Mueller, Patrick Shafto
2018	J	`jnl`	Continual Learning Augmented Investment Decisions. CoRR Daniel Philps, Tillman Weyde, Artur S. d'Avila Garcez, Roy Batchelor
2018	—	`conf`	Deep Neural Networks with Voice Entry Estimation Heuristics for Voice Separation in Symbolic Music Representations. ISMIR Reinier de Valk, Tillman Weyde
2018	J	`jnl`	Feed-Forward Neural Networks Need Inductive Bias to Learn Equality Relations. CoRR Tillman Weyde, Radha Manisha Kopparti
2018	J	`jnl`	Improved Speech Enhancement with the Wave-U-Net. CoRR Craig Macartney, Tillman Weyde
2018	J	`jnl`	M2U-Net: Effective and Efficient Retinal Vessel Segmentation for Resource-Constrained Environments. CoRR Tim Laibacher, Tillman Weyde, Sepehr Jalali
2018	J	`jnl`	Modelling Identity Rules with Neural Networks. CoRR Tillman Weyde, Radha Manisha Kopparti
2017	—	`conf`	Generalising the Discriminative Restricted Boltzmann Machines. ICANN (2) Srikanth Cherla, Son Ngoc Tran, Artur S. d'Avila Garcez, Tillman Weyde
2017	—	`conf`	Geographical Origin Prediction of Folk Music Recordings from the United Kingdom. ISMIR Vytaute Kedyte, Maria Panteli, Tillman Weyde, Simon Dixon
2017	—	`conf`	Singing Voice Separation with Deep U-Net Convolutional Networks. ISMIR Andreas Jansson, Eric J. Humphrey, Nicola Montecchio, Rachel M. Bittner, Aparna Kumar, Tillman Weyde
2017	J	`jnl`	The Digital Music Lab: A Big Data Infrastructure for Digital Musicology. ACM Journal on Computing and Cultural Heritage Samer A. Abdallah, Emmanouil Benetos, Nicolas Gold, Steven Hargreaves, Tillman Weyde, Daniel Wolff
2017	C	`conf`	The FL-SMIA Network: A Novel Architecture for Time Series Prediction. DeSE Asmaa Mahdi, Tillman Weyde, Dhiya Al-Jumeily
2017	J	`jnl`	The Recurrent Temporal Discriminative Restricted Boltzmann Machines. CoRR Son N. Tran, Srikanth Cherla, Artur S. d'Avila Garcez, Tillman Weyde
2016	—	`ch.`	A Wavelet-Based Approach to Pattern Discovery in Melodies. Computational Music Analysis Gissel Velarde, David Meredith, Tillman Weyde
2016	—	`conf`	Accuracy and Interpretability Trade-Offs in Machine Learning Applied to Safer Gambling. CoCo@NIPS Sanjoy Sarkar, Tillman Weyde, Artur S. d'Avila Garcez, Gregory G. Slabaugh, Simo Dragicevic, Chris Percy
2016	—	`conf`	Adaptive Frequency Neural Networks for Dynamic Pulse and Metre Perception. ISMIR Andrew John Lambert, Tillman Weyde, Newton Armstrong
2016	—	`ch.`	Chord- and Note-Based Approaches to Voice Separation. Computational Music Analysis Tillman Weyde, Reinier de Valk
2016	—	`conf`	Composer Recognition Based on 2D-Filtered Piano-Rolls. ISMIR Gissel Velarde, Tillman Weyde, Carlos Eduardo Cancino-Chacón, David Meredith, Maarten Grachten
2016	—	`conf`	Digital music lab: A framework for analysing big music data. EUSIPCO Samer A. Abdallah, Emmanouil Benetos, Nicolas E. Gold, Steven Hargreaves, Tillman Weyde, Daniel Wolff
2016	J	`jnl`	Generalising the Discriminative Restricted Boltzmann Machine. CoRR Srikanth Cherla, Son N. Tran, Tillman Weyde, Artur S. d'Avila Garcez
2016	C	`conf`	The "Beyond the Fence" Musical and "Computer Says Show" Documentary. ICCC 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. T. Sturm, Tillman Weyde, Daniel Wolff, James Robert Lloyd
2016	A	`conf`	The Need for Knowledge Extraction: Understanding Harmful Gambling Behavior with Neural Networks. ECAI Chris Percy, Artur S. d'Avila Garcez, Simo Dragicevic, Manoel V. M. França, Greg G. Slabaugh, Tillman Weyde
2015	Misc	`conf`	A hybrid recurrent neural network for music transcription. ICASSP Siddharth Sigtia, Emmanouil Benetos, Nicolas Boulanger-Lewandowski, Tillman Weyde, Artur S. d'Avila Garcez, Simon Dixon
2015	—	`conf`	An Efficient Temporally-Constrained Probabilistic Model for Multiple-Instrument Music Transcription. ISMIR Emmanouil Benetos, Tillman Weyde
2015	—	`conf`	Comparative Music Similarity Modelling Using Transfer Learning Across User Groups. ISMIR Daniel Wolff, Andrew MacFarlane, Tillman Weyde
2015	B	`conf`	Discriminative learning and inference in the Recurrent Temporal RBM for melody modelling. IJCNN Srikanth Cherla, Son Ngoc Tran, Artur S. d'Avila Garcez, Tillman Weyde
2015	—	`conf`	Hybrid Long- and Short-Term Models of Folk Melodies. ISMIR Srikanth Cherla, Son N. Tran, Tillman Weyde, Artur S. d'Avila Garcez
2014	J	`jnl`	A Hybrid Recurrent Neural Network For Music Transcription. CoRR Siddharth Sigtia, Emmanouil Benetos, Nicolas Boulanger-Lewandowski, Tillman Weyde, Artur S. d'Avila Garcez, Simon Dixon
2014	—	`conf`	An RNN-based Music Language Model for Improving Automatic Music Transcription. ISMIR Siddharth Sigtia, Emmanouil Benetos, Srikanth Cherla, Tillman Weyde, Artur S. d'Avila Garcez, Simon Dixon
2014	Misc	`conf`	Automatic transcription of pitched and unpitched sounds from polyphonic music. ICASSP Emmanouil Benetos, Sebastian Ewert, Tillman Weyde
2014	—	`conf`	Beyond the Beat: Towards Metre, Rhythm and Melody Modelling with Hybrid Oscillator Networks. ICMC Andrew John Lambert, Tillman Weyde, Newton Armstrong
2014	—	`conf`	Big Data for Musicology. DLfM@JCDL 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
2014	—	`conf`	Creating Audio Based Experiments as Social Web Games with the CASimIR Framework. Semantic Audio Daniel Wolff, Guillaume Bellec, Anders Friberg, Andrew MacFarlane, Tillman Weyde
2014	—	`conf`	Feature Preprocessing with Restricted Boltzmann Machines for Music Similarity Learning. Semantic Audio Son N. Tran, Daniel Wolff, Tillman Weyde, Artur S. d'Avila Garcez
2014	—	`conf`	Improving Automatic Music Transcription Through Key Detection. Semantic Audio Emmanouil Benetos, Andreas Jansson, Tillman Weyde
2014	—	`conf`	Incremental Dataset Definition for Large Scale Musicological Research. DLfM@JCDL Daniel Wolff, Dan Tidhar, Emmanouil Benetos, Edouard Dumon, Srikanth Cherla, Tillman Weyde
2014	J	`jnl`	Learning music similarity from relative user ratings. Inf. Retr. Daniel Wolff, Tillman Weyde
2014	—	`conf`	Multiple Viewpiont Melodic Prediction with Fixed-Context Neural Networks. ISMIR Srikanth Cherla, Tillman Weyde, Artur S. d'Avila Garcez
2014	—	`conf`	Studying the Effect of Metre Perception on Rhythm and Melody Modelling with LSTMs. MUME@AIIDE Andrew John Lambert, Tillman Weyde, Newton Armstrong
2014	—	`conf`	Template Adaptation for Improving Automatic Music Transcription. ISMIR Emmanouil Benetos, Roland Badeau, Tillman Weyde, Gaël Richard
2013	—	`conf`	A Distributed Model For Multiple-Viewpoint Melodic Prediction. ISMIR Srikanth Cherla, Tillman Weyde, Artur S. d'Avila Garcez, Marcus T. Pearce
2013	—	`conf`	A Machine Learning Approach to Voice Separation in Lute Tablature. ISMIR Reinier de Valk, Tillman Weyde, Emmanouil Benetos
2013	—	`conf`	Explicit Duration Hidden Markov Models for Multiple-Instrument Polyphonic Music Transcription. ISMIR Emmanouil Benetos, Tillman Weyde
2013	—	`conf`	Predicting Aquaplaning Performance from Tyre Profile Images with Machine Learning. ICIAR Tillman Weyde, Gregory G. Slabaugh, Gauthier Fontaine, Christoph Bederna
2012	—	`conf`	A Systematic Comparison of Music Similarity Adaptation Approaches. ISMIR Daniel Wolff, Sebastian Stober, Andreas Nürnberger, Tillman Weyde
2012	—	`conf`	Adapting similarity on the MagnaTagATune database: effects of model and feature choices. WWW (Companion Volume) Daniel Wolff, Tillman Weyde
2011	—	`conf`	Adapting Metrics for Music Similarity Using Comparative Ratings. ISMIR Daniel Wolff, Tillman Weyde
2011	—	`conf`	Combining Sources of Description for Approximating Music Similarity Ratings. Adaptive Multimedia Retrieval Daniel Wolff, Tillman Weyde
2008	—	`conf`	I-Maestro: Technology-Enhanced Learning for Music. ICMC Kia Ng, Tillman Weyde, Paolo Nesi
2007	B	`conf`	3d augmented mirror: a multimodal interface for string instrument learning and teaching with gesture support. ICMI Kia-Chuan Ng, Tillman Weyde, Oliver Larkin, Kerstin Neubarth, Thijs Koerselman, Bee Ong
2007	—	`conf`	An Experiment on the Role of Pitch Intervals in Melodic Segmentation. ISMIR Tillman Weyde, Jens Wissmann, Kerstin Neubarth
2005	—	`conf`	Efficient Melody Retrieval with Motif Contour Classes. ISMIR Tillman Weyde, Christian Datzko
2004	—	`conf`	The Influence of Pitch on Melodic Segmentation. ISMIR Tillman Weyde
2003	—	`—`	Lern- und wissensbasierte Analyse musikalischer Rhythmen: Konzeption, Entwicklung und Evaluation eines Neuro-Fuzzy-Systems für die Erkennung rhythmischer Strukturen. Tillman Weyde
2003	—	`conf`	Structure recognition on sequences with a neuro-fuzzy-system. EUSFLAT Conf. Klaus Dalinghaus, Tillman Weyde
2002	—	`conf`	Concepts of the MUSITECH Infrastructure for Internet-Based Interactive Musical Applications. WEDELMUSIC Martin Gieseking, Tillman Weyde
2002	—	`conf`	Opuscope - Towards a Corpus-Based Music Repository. ISMIR Thomas Noll, Jörg Garbers, Karin Höthker, Christian Spevak, Tillman Weyde
2001	—	`conf`	Grouping, Similarity and the Recognition of Rhythmic Structure. ICMC Tillman Weyde