Tijl De Bie
According to our database1,
Tijl De Bie
authored at least 128 papers
between 2003 and 2022.
Collaborative distances:
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Online presence:
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on orcid.org
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on id.loc.gov
On csauthors.net:
Bibliography
2022
Graph-Survival: A Survival Analysis Framework for Machine Learning on Temporal Networks.
CoRR, 2022
2021
Pattern Recognit. Lett., 2021
Data Min. Knowl. Discov., 2021
CoRR, 2021
The Curse Revisited: a Newly Quantified Concept of Meaningful Distances for Learning from High-Dimensional Noisy Data.
CoRR, 2021
Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2021
Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2021
The KL-Divergence Between a Graph Model and its Fair I-Projection as a Fairness Regularizer.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021
2020
A Constrained Randomization Approach to Interactive Visual Data Exploration with Subjective Feedback.
IEEE Trans. Knowl. Data Eng., 2020
J. Mach. Learn. Res., 2020
Interactive visual data exploration with subjective feedback: an information-theoretic approach.
Data Min. Knowl. Discov., 2020
Data Min. Knowl. Discov., 2020
Data Min. Knowl. Discov., 2020
Network Representation Learning for Link Prediction: Are we improving upon simple heuristics?
CoRR, 2020
Proceedings of the 2020 SIAM International Conference on Data Mining, 2020
Proceedings of the Advances in Intelligent Data Analysis XVIII, 2020
Proceedings of the 25th International Conference on Pattern Recognition, 2020
Proceedings of the 37th International Conference on Machine Learning, 2020
Proceedings of the 7th IEEE International Conference on Data Science and Advanced Analytics, 2020
Proceedings of the 7th IEEE International Conference on Data Science and Advanced Analytics, 2020
Proceedings of the 7th IEEE International Conference on Data Science and Advanced Analytics, 2020
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020
Proceedings of the AIES '20: AAAI/ACM Conference on AI, 2020
2019
Design and validation of an auditory biofeedback system for modification of running parameters.
J. Multimodal User Interfaces, 2019
Data Min. Knowl. Discov., 2019
Conditional t-SNE: Complementary t-SNE embeddings through factoring out prior information.
CoRR, 2019
CoRR, 2019
Proceedings of the 1st Workshop on Evaluation and Experimental Design in Data Mining and Machine Learning co-located with SIAM International Conference on Data Mining (SDM 2019), 2019
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019
Proceedings of the 31st Benelux Conference on Artificial Intelligence (BNAIC 2019) and the 28th Belgian Dutch Conference on Machine Learning (Benelearn 2019), 2019
2018
EURASIP J. Audio Speech Music. Process., 2018
From acquaintance to best friend forever: robust and fine-grained inference of social tie strengths.
CoRR, 2018
Local Topological Data Analysis to Uncover the Global Structure of Data Approaching Graph-Structured Topologies.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018
Proceedings of the 5th International Conference on Movement and Computing, 2018
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018
Proceedings of the 34th IEEE International Conference on Data Engineering, 2018
2017
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017
Proceedings of the Advances in Intelligent Data Analysis XVI, 2017
2016
SuMoTED: An intuitive edit distance between rooted unordered uniquely-labelled trees.
Pattern Recognit. Lett., 2016
P-N-RMiner: a generic framework for mining interesting structured relational patterns.
Int. J. Data Sci. Anal., 2016
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016
Proceedings of the 26th IEEE International Workshop on Machine Learning for Signal Processing, 2016
Subjectively Interesting Component Analysis: Data Projections that Contrast with Prior Expectations.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016
Proceedings of the IEEE 16th International Conference on Data Mining, 2016
Learning to separate vocals from polyphonic mixtures via ensemble methods and structured output prediction.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016
Proceedings of the 24th European Symposium on Artificial Neural Networks, 2016
2015
Proceedings of the ACM Web Science Conference, 2015
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2015
2014
IEEE ACM Trans. Audio Speech Lang. Process., 2014
Proceedings of the International Conference on Data Science and Advanced Analytics, 2014
2013
IEEE ACM Trans. Audio Speech Lang. Process., 2013
Mach. Learn., 2013
Data Min. Knowl. Discov., 2013
Maximum Entropy Models for Iteratively Identifying Subjectively Interesting Structure in Real-Valued Data.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013
A Theoretical Framework for Exploratory Data Mining: Recent Insights and Challenges Ahead.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013
Proceedings of the Advances in Intelligent Data Analysis XII, 2013
Proceedings of the Discovery Science - 16th International Conference, 2013
2012
WIREs Data Mining Knowl. Discov., 2012
Web Intell. Agent Syst., 2012
IEEE Trans. Speech Audio Process., 2012
Neurocomputing, 2012
Adv. Artif. Intell., 2012
Using Hyper-genre Training to Explore Genre Information for Automatic Chord Estimation.
Proceedings of the 13th International Society for Music Information Retrieval Conference, 2012
Formalizing Complex Prior Information to Quantify Subjective Interestingness of Frequent Pattern Sets.
Proceedings of the Advances in Intelligent Data Analysis XI - 11th International Symposium, 2012
An Empirical Comparison of Label Prediction Algorithms on Automatically Inferred Networks.
Proceedings of the ICPRAM 2012, 2012
2011
Maximum entropy models and subjective interestingness: an application to tiles in binary databases.
Data Min. Knowl. Discov., 2011
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2011
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2011
Proceedings of the 2nd MultiClust Workshop: Discovering, 2011
Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011
Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011
Proceedings of the 12th International Society for Music Information Retrieval Conference, 2011
Proceedings of the 12th International Society for Music Information Retrieval Conference, 2011
Proceedings of the 11th IEEE International Conference on Data Mining, 2011
Proceedings of the 11th IEEE International Conference on Data Mining, 2011
Proceedings of the Adaptive and Natural Computing Algorithms, 2011
2010
Proceedings of the First Workshop on Applications of Pattern Analysis, 2010
An Information-Theoretic Approach to Finding Informative Noisy Tiles in Binary Databases.
Proceedings of the SIAM International Conference on Data Mining, 2010
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010
Proceedings of the 2nd International Workshop on Cognitive Information Processing, 2010
2009
ModuleDigger: an itemset mining framework for the detection of <i>cis</i>-regulatory modules.
BMC Bioinform., 2009
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2009
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2009
Proceedings of the 2009 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, 2009
Proceedings of the ESANN 2009, 2009
Proceedings of the Workshop on Statistical Multilingual Analysis for Retrieval and Translation, 2009
2008
Learning Performance of a Machine Translation System: a Statistical and Computational Analysis.
Proceedings of the Third Workshop on Statistical Machine Translation, 2008
Integrating Microarray and Proteomics Data to Predict the Response of Cetuximab in Patients with Rectal Cancer.
Proceedings of the Biocomputing 2008, 2008
2007
Proceedings of the Knowledge Discovery in Databases: PKDD 2007, 2007
Proceedings of the Proceedings 15th International Conference on Intelligent Systems for Molecular Biology (ISMB) & 6th European Conference on Computational Biology (ECCB), 2007
Proceedings of the Advances in Intelligent Data Analysis VII, 2007
A metamorphosis of Canonical Correlation Analysis into multivariate maximum margin learning.
Proceedings of the ESANN 2007, 2007
Proceedings of the Machine Learning: ECML 2007, 2007
2006
Fast SDP Relaxations of Graph Cut Clustering, Transduction, and Other Combinatorial Problem.
J. Mach. Learn. Res., 2006
Proceedings of the Machine Learning: ECML 2006, 2006
Proceedings of the Semi-Supervised Learning, 2006
2005
Proceedings of the Biocomputing 2005, 2005
2004
Proceedings of the Structural, 2004
2003
Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003
Proceedings of the Algorithmic Learning Theory, 14th International Conference, 2003