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Researcher
Tijl De Bie
Profile
Projects
Publications
Activities
179
Results
2022
A Systematic Evaluation of Node Embedding Robustness
Alexandru-Cristian Mara
Jefrey Lijffijt
Tijl De Bie
U
Conference
2022
An earth mover's distance based graph distance metric for financial statements
Sander Noels
Tijl De Bie
P1
Conference
2022
An empirical evaluation of network representation learning methods
Alexandru-Cristian Mara
Jefrey Lijffijt
Tijl De Bie
A1
Journal Article
in
BIG DATA
2022
Automating data science
Tijl De Bie
A1
Journal Article
in
COMMUNICATIONS OF THE ACM
2022
Embedding-based next song recommendation for playlists
Raphaël Romero
Tijl De Bie
U
Conference
2022
EvalNE : a framework for network embedding evaluation
Alexandru-Cristian Mara
Jefrey Lijffijt
Tijl De Bie
A1
Journal Article
in
SOFTWAREX
2022
Evaluating representation learning and graph layout methods for visualization
Edith Heiter
Bo Kang
Tijl De Bie
Jefrey Lijffijt
A1
Journal Article
in
IEEE COMPUTER GRAPHICS AND APPLICATIONS
2022
Graph-survival: A survival analysis framework for machine learning on temporal networks
Bo Kang
Tijl De Bie
U
Conference
2022
Leveraging comprehensive cancer systems genetic data to uncover the modus operandi of driver mutations
Maarten Larmuseau
Kathleen Marchal
Tijl De Bie
Dissertation
2022
Opinion dynamics and link prediction in networks : models, data efficiency, and robustness
Xi Chen
Tijl De Bie
Jefrey Lijffijt
Dissertation
2022
Optimal Transport of Classifiers to Fairness
Maarten Buyl
Tijl De Bie
U
Conference
2022
The curse revisited : when are distances informative for the ground truth in noisy high-dimensional data?
Robin Vandaele
Bo Kang
Tijl De Bie
Yvan Saeys
P1
Conference
2022
Topologically regularized data embeddings
Robin Vandaele
Bo Kang
Jefrey Lijffijt
Tijl De Bie
Yvan Saeys
C1
Conference
2022
2021
ALPINE : active link prediction using network embedding
Xi Chen
Bo Kang
Jefrey Lijffijt
Tijl De Bie
A1
Journal Article
in
APPLIED SCIENCES-BASEL
2021
Adversarial robustness of probabilistic network embedding for link prediction
Xi Chen
Bo Kang
Jefrey Lijffijt
Tijl De Bie
P1
Conference
2021
Automating data science : prospects and challenges
Tijl De Bie
Workingpaper
2021
Conditional t-SNE : more informative t-SNE embeddings
Bo Kang
Jefrey Lijffijt
Tijl De Bie
A1
Journal Article
in
MACHINE LEARNING
2021
Conditional t-SNE : more informative t-SNE embeddings
Bo Kang
Jefrey Lijffijt
Tijl De Bie
P1
Conference
2021
Explanations for network embedding-based link predictions
Bo Kang
Jefrey Lijffijt
Tijl De Bie
P1
Conference
2021
FONDUE : a framework for node disambiguation and deduplication using network embeddings
Ahmad Mel
Bo Kang
Jefrey Lijffijt
Tijl De Bie
A1
Journal Article
in
APPLIED SCIENCES-BASEL
2021
Graph approximations to geodesics on metric graphs
Robin Vandaele
Yvan Saeys
Tijl De Bie
P1
Conference
2021
Mining subjectively interesting patterns in rich data
Junning Deng
Tijl De Bie
Jefrey Lijffijt
Dissertation
2021
Music information retrieval methods for analyzing and modifying percussion-based audio
Len Vande Veire
Tijl De Bie
Cedric De Boom
Dissertation
2021
Opinion dynamics with backfire effect and biased assimilation
Xi Chen
Jefrey Lijffijt
Tijl De Bie
A1
Journal Article
in
PLOS ONE
2021
Sigmoidal NMFD : convolutional NMF with saturating activations for drum mixture decomposition
Len Vande Veire
Cedric De Boom
Tijl De Bie
A1
Journal Article
in
ELECTRONICS
2021
Stable topological signatures for metric trees through graph approximations
Robin Vandaele
Yvan Saeys
Tijl De Bie
A1
Journal Article
in
PATTERN RECOGNITION LETTERS
2021
The KL-divergence between a graph model and its fair I-projection as a fairness regularizer
Maarten Buyl
Tijl De Bie
P1
Conference
2021
2020
A constrained randomization approach to interactive visual data exploration with subjective feedback
Bo Kang
Jefrey Lijffijt
Tijl De Bie
A1
Journal Article
in
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
2020
ALPINE : Active Link Prediction using Network Embedding
Xi Chen
Bo Kang
Jefrey Lijffijt
Tijl De Bie
Preprint
2020
Adapted NMFD update procedure for removing double hits in drum mixture decompositions
Len Vande Veire
Cedric De Boom
Tijl De Bie
C1
Conference
2020
Benchmarking network embedding models for link prediction : are we making progress?
Alexandru-Cristian Mara
Jefrey Lijffijt
Tijl De Bie
P1
Conference
2020
Block-approximated exponential random graphs
Florian Adriaens
Alexandru-Cristian Mara
Jefrey Lijffijt
Tijl De Bie
P1
Conference
2020
DeBayes : a Bayesian method for debiasing network embeddings
Maarten Buyl
Tijl De Bie
P1
Conference
2020
Explainable subgraphs with surprising densities : a subgroup discovery approach
Junning Deng
Bo Kang
Jefrey Lijffijt
Tijl De Bie
P1
Conference
2020
FACE : Feasible and Actionable Counterfactual Explanations
Tijl De Bie
C1
Conference
2020
FONDUE : framework for node disambiguation using network embeddings
Ahmad Mel
Bo Kang
Jefrey Lijffijt
Tijl De Bie
P1
Conference
2020
Gibbs sampling subjectively interesting tiles
Jefrey Lijffijt
Tijl De Bie
P1
Conference
2020
Interactive visual data exploration with subjective feedback : an information-theoretic approach
Bo Kang
Jefrey Lijffijt
Tijl De Bie
A1
Journal Article
in
DATA MINING AND KNOWLEDGE DISCOVERY
2020
Mining and modeling graphs using patterns and priors
Florian Adriaens
Tijl De Bie
Jefrey Lijffijt
Dissertation
2020
Mining explainable local and global subgraph patterns with surprising densities
Junning Deng
Bo Kang
Jefrey Lijffijt
Tijl De Bie
A1
Journal Article
in
DATA MINING AND KNOWLEDGE DISCOVERY
2020
Mining topological structure in graphs through forest representations
Robin Vandaele
Yvan Saeys
Tijl De Bie
A1
Journal Article
in
JOURNAL OF MACHINE LEARNING RESEARCH
2020
Network representation learning for link prediction : are we improving upon simple heuristics?
Alexandru-Cristian Mara
Jefrey Lijffijt
Tijl De Bie
Preprint
2020
Relaxing the strong triadic closure problem for edge strength inference
Florian Adriaens
Tijl De Bie
Jefrey Lijffijt
A1
Journal Article
in
DATA MINING AND KNOWLEDGE DISCOVERY
2020
SIAS-miner : mining subjectively interesting attributed subgraphs
Ahmad Mel
Jefrey Lijffijt
Tijl De Bie
A1
Journal Article
in
DATA MINING AND KNOWLEDGE DISCOVERY
2020
Topological inference in graphs and images
Robin Vandaele
Tijl De Bie
Yvan Saeys
Dissertation
2020
2019
A CycleGAN for style transfer between drum and bass subgenres
Len Vande Veire
Tijl De Bie
Joni Dambre
C1
Conference
2019
Automating Data Science (Dagstuhl Seminar 18401)
Tijl De Bie
A4
Journal Article
in
DAGSTUHL REPORTS
2019
Conditional network embeddings
Bo Kang
Jefrey Lijffijt
Tijl De Bie
C1
Conference
2019
Contrastive antichains in hierarchies
Jefrey Lijffijt
Tijl De Bie
P1
Conference
2019
Design and validation of an auditory biofeedback system for modification of running parameters
Valerio Lorenzoni
Pieter Van den Berghe
Pieter-Jan Maes
Tijl De Bie
Dirk De Clercq
Marc Leman
A1
Journal Article
in
JOURNAL ON MULTIMODAL USER INTERFACES
2019
Discovering interesting cycles in directed graphs
Florian Adriaens
Tijl De Bie
Jefrey Lijffijt
P1
Conference
2019
Discovering interesting cycles in graphs
Florian Adriaens
Tijl De Bie
Jefrey Lijffijt
C1
Conference
2019
EvalNE : a framework for Evaluating Network Embeddings on link prediction
Alexandru-Cristian Mara
Jefrey Lijffijt
Tijl De Bie
C1
Conference
2019
EvalNE : a framework for evaluating network embeddings on link prediction
Alexandru-Cristian Mara
Jefrey Lijffijt
Tijl De Bie
Report
2019
ExplaiNE : an approach for Explaining Network Embedding-based link predictions
Bo Kang
Jefrey Lijffijt
Tijl De Bie
Report
2019
Explainable subgraphs with surprising densities : a subgroup discovery approach
Junning Deng
Bo Kang
Jefrey Lijffijt
Tijl De Bie
C1
Conference
2019
Learning subjectively interesting data representations
Bo Kang
Tijl De Bie
Jefrey Lijffijt
Dissertation
2019
Local topological data analysis to uncover the global structure of data approaching graph-structured topologies
Robin Vandaele
Tijl De Bie
Yvan Saeys
C1
Conference
2019
Opinion dynamics with backfire effect and biased assimilation
Xi Chen
Jefrey Lijffijt
Tijl De Bie
C1
Conference
2019
Ordinal label proportions
Tijl De Bie
C1
Conference
2019
SIMIT : subjectively interesting motifs in time series
Junning Deng
Jefrey Lijffijt
Bo Kang
Tijl De Bie
A1
Journal Article
in
ENTROPY
2019
Subjectively interesting connecting trees and forests
Florian Adriaens
Jefrey Lijffijt
Tijl De Bie
A1
Journal Article
in
DATA MINING AND KNOWLEDGE DISCOVERY
2019
The boundary coefficient : a vertex measure for visualizing and finding structure in weighted graphs
Robin Vandaele
Yvan Saeys
Tijl De Bie
C1
Conference
2019
The effect of (a)synchronous music on runners‘ lower leg impact loading
Valerio Lorenzoni
Tijl De Bie
Thierry Marchant
Edith Van Dyck
Marc Leman
A1
Journal Article
in
MUSICAE SCIENTIAE
2019
2018
A biofeedback music-sonification system for gait retraining
Valerio Lorenzoni
Pieter-Jan Maes
Pieter Van den Berghe
Dirk De Clercq
Tijl De Bie
Marc Leman
P1
Conference
2018
CLIPPR: Maximally Informative CLIPped PRojections with Bounding Regions
Bo Kang
Jefrey Lijffijt
Tijl De Bie
C3
Conference
2018
Conditional network embeddings
Bo Kang
Jefrey Lijffijt
Tijl De Bie
Report
2018
From acquaintance to best friend forever : robust and fine-grained inference of social-tie strengths
Florian Adriaens
Tijl De Bie
Jefrey Lijffijt
C1
Conference
2018
From raw audio to a seamless mix : creating an automated DJ system for drum and bass
Len Vande Veire
Tijl De Bie
A1
Journal Article
in
EURASIP JOURNAL ON AUDIO SPEECH AND MUSIC PROCESSING
2018
Interactive visual data exploration with subjective feedback : an information-theoretic approach
Bo Kang
Jefrey Lijffijt
Tijl De Bie
P1
Conference
2018
Mining subjectively interesting attributed subgraphs
Ahmad Mel
Jefrey Lijffijt
Tijl De Bie
C1
Conference
2018
Quantifying and minimizing risk of conflict in social networks
Xi Chen
Jefrey Lijffijt
Tijl De Bie
P1
Conference
2018
SICA : subjectively interesting component analysis
Bo Kang
Jefrey Lijffijt
Tijl De Bie
A1
Journal Article
in
DATA MINING AND KNOWLEDGE DISCOVERY
2018
Subjectively interesting motifs in time series
Junning Deng
Jefrey Lijffijt
Bo Kang
Tijl De Bie
C1
Conference
2018
Subjectively interesting subgroup discovery on real-valued targets
Jefrey Lijffijt
Bo Kang
Tijl De Bie
P1
Conference
2018
The normalized Friedkin-Johnsen model (a work-in-progress report)
Xi Chen
Jefrey Lijffijt
Tijl De Bie
C1
Conference
2018
2017
Clipped projections for more informative visualizations [a work-in-progress report]
Bo Kang
Junning Deng
Jefrey Lijffijt
Tijl De Bie
C1
Conference
2017
Hierarchical novelty detection
Paolo Simeone
Jefrey Lijffijt
Tijl De Bie
C1
Conference
2017
Interactive visual data exploration with subjective feedback : an information-theoretic approach
Bo Kang
Jefrey Lijffijt
Tijl De Bie
Preprint
2017
Subjectively Interesting Subgroup Discovery on Real-valued Targets
Jefrey Lijffijt
Bo Kang
Wouter Duivesteijn
Tijl De Bie
Report
2017
Subjectively interesting connecting trees
Florian Adriaens
Jefrey Lijffijt
Tijl De Bie
P1
Conference
2017
2016
A tool for subjective and interactive visual data exploration
Bo Kang
Jefrey Lijffijt
Tijl De Bie
P1
Conference
2016
Detecting trends in Twitter time series
Tijl De Bie
Jefrey Lijffijt
P1
Conference
2016
Direct mining of subjectively interesting relational patterns
Jefrey Lijffijt
Tijl De Bie
P1
Conference
2016
Informative data projections : a framework and two examples
Tijl De Bie
Jefrey Lijffijt
Bo Kang
C1
Conference
2016
Interactive visual data exploration with subjective feedback
Bo Kang
Jefrey Lijffijt
Tijl De Bie
C1
Conference
2016
P-N-RMiner : a generic framework for mining interesting structured relational patterns
Jefrey Lijffijt
Bo Kang
Tijl De Bie
A2
Journal Article
in
INTERNATIONAL JOURNAL OF DATA SCIENCE AND ANALYTICS
2016
SIDE : a web app for interactive visual data exploration with subjective feedback
Jefrey Lijffijt
Bo Kang
Tijl De Bie
C1
Conference
2016
SuMoTED : an intuitive edit distance between rooted unordered uniquely-labelled trees
Jefrey Lijffijt
Tijl De Bie
A1
Journal Article
in
PATTERN RECOGNITION LETTERS
2016
Subjective interestingness of subgraph patterns
Tijl De Bie
A1
Journal Article
in
MACHINE LEARNING
2016
Subjectively interesting component analysis : data projections that contrast with prior expectations
Bo Kang
Jefrey Lijffijt
Tijl De Bie
P1
Conference
2016
2015
Advances in intelligent data analysis XIV: proceedings of the 14th international symposium on on Intelligent Data Analysis (IDA)
Book editor
2015
Informative data projections : a framework and two examples
Tijl De Bie
Jefrey Lijffijt
Bo Kang
Report
2015
Interactively exploring supply and demand in the UK independent music scene
Jefrey Lijffijt
Tijl De Bie
P1
Conference
2015
P-N-RMiner : a generic framework for mining interesting structured relational patterns
Jefrey Lijffijt
Bo Kang
Tijl De Bie
P1
Conference
2015
2014
Automatic chord estimation from audio: a review of the state of the art
Tijl De Bie
A1
Journal Article
in
IEEE-ACM TRANSACTIONS ON AUDIO SPEECH AND LANGUAGE PROCESSING
2014
Formalising the subjective interestingness of a linear projection of a data set : two examples
Tijl De Bie
C1
Conference
2014
Interesting pattern mining in multi-relational data
Tijl De Bie
A1
Journal Article
in
DATA MINING AND KNOWLEDGE DISCOVERY
2014
Mining approximate multi-relational patterns
Tijl De Bie
C1
Conference
2014
2013
A theoretical framework for exploratory data mining: recent insights and challenges ahead
Tijl De Bie
C1
Conference
2013
Guest editors' introduction: special section of selected papers from ECML-PKDD 2012
Tijl De Bie
Editorial material
2013
Introduction: special issue of selected papers from ECML-PKDD 2012
Tijl De Bie
Editorial material
2013
Maximum entropy models for iteratively identifying subjectively interesting structure in real-valued data
Tijl De Bie
C1
Conference
2013
Mining interesting patterns in multi-relational data with N-ary relationships
Tijl De Bie
P1
Conference
2013
Research methods in the age of digital journalism
Tijl De Bie
A1
Journal Article
in
DIGITAL JOURNALISM
2013
Subjective interestingness in exploratory data mining
Tijl De Bie
P1
Conference
2013
Subjectively interesting alternative clusterings
Tijl De Bie
A1
Journal Article
in
MACHINE LEARNING
2013
Understanding effects of subjectivity in measuring chord estimation accuracy
Tijl De Bie
A1
Journal Article
in
IEEE TRANSACTIONS ON AUDIO SPEECH AND LANGUAGE PROCESSING
2013
2012
An empirical comparison of label prediction algorithms on automatically inferred networks
Tijl De Bie
C1
Conference
2012
An end-to-end machine learning system for harmonic analysis of music
Tijl De Bie
A1
Journal Article
in
IEEE TRANSACTIONS ON AUDIO SPEECH AND LANGUAGE PROCESSING
2012
CCA and a multi-way extension for investigating common components between audio, lyrics and tags
Tijl De Bie
C1
Conference
2012
Formalizing complex prior information to quantify subjective interestingness of frequent pattern sets
Tijl De Bie
C1
Conference
2012
Knowledge discovery interestingness measures based on unexpectedness
Tijl De Bie
A1
Journal Article
in
WILEY INTERDISCIPLINARY REVIEWS-DATA MINING AND KNOWLEDGE DISCOVERY
2012
Learning to translate: a statistical and computational analysis
Tijl De Bie
A2
Journal Article
in
ADVANCES IN ARTIFICIAL INTELLIGENCE
2012
Machine learning and knowledge discovery in databases: ECML-PKDD Proceedings, Part I
Book editor
2012
Machine learning and knowledge discovery in databases: ECML-PKDD Proceedings, Part II
Book editor
2012
The NETCOVER algorithm for the reconstruction of causal networks
Tijl De Bie
A1
Journal Article
in
NEUROCOMPUTING
2012
Using hyper-genre training to explore genre information for automatic chord estimation
Tijl De Bie
C1
Conference
2012
2011
An information theoretic framework for data mining
Tijl De Bie
C1
Conference
2011
Celebrity watch: browsing news content by exploiting social intelligence
Tijl De Bie
P1
Conference
2011
Interesting multi-relational patterns
Tijl De Bie
C1
Conference
2011
Leveraging noisy online databases for use in chord recognition
Tijl De Bie
C1
Conference
2011
Maximum entropy modelling for assessing results on real-valued data
Tijl De Bie
C1
Conference
2011
Maximum entropy models and subjective interestingness: an application to tiles in binary databases
Tijl De Bie
A1
Journal Article
in
DATA MINING AND KNOWLEDGE DISCOVERY
2011
Mining the correlation between lyrical and audio features and the emergence of mood
Tijl De Bie
C1
Conference
2011
NOAM: News Outlets Analysis and Monitoring System
Tijl De Bie
C1
Conference
2011
Reconstruction of causal networks by set covering
Tijl De Bie
P1
Conference
2011
Refining causality: who copied from whom?
Tijl De Bie
C1
Conference
2011
Subjectively interesting alternative clusters
Tijl De Bie
C1
Conference
2011
Using online chord databases to ehance chord recognition
Tijl De Bie
A1
Journal Article
in
JOURNAL OF NEW MUSIC RESEARCH
2011
2010
A framework for mining interesting pattern sets
Tijl De Bie
A2
Journal Article
in
ACM SIGKDD EXPLORATIONS NEWSLETTER
2010
An information-theoretic approach to finding informative noisy tiles in binary databases
Tijl De Bie
C1
Conference
2010
Automating news content analysis: an application to gender bias and readability
Tijl De Bie
C1
Conference
2010
Detecting events in a million New York times articles
Tijl De Bie
P1
Conference
2010
Enhancing chord recognition accuracy using web resources
Tijl De Bie
C1
Conference
2010
Finding surprising patterns in textual data streams
Tijl De Bie
C1
Conference
2010
Flu detector: tracking epidemics on Twitter
Tijl De Bie
P1
Conference
2010
The structure of the EU mediasphere
Tijl De Bie
A1
Journal Article
in
PLOS ONE
2010
2009
An intelligent agent that autonomously learns how to translate
Tijl De Bie
P1
Conference
2009
DISTILLER: a data integration framework to reveal condition dependency of complex regulons in Escherichia coli
Tijl De Bie
Kathleen Marchal
A1
Journal Article
in
GENOME BIOLOGY
2009
Found in translation
Tijl De Bie
P1
Conference
2009
Inference and validation of networks
Tijl De Bie
P1
Conference
2009
Machine learning with labeled and unlabeled data
Tijl De Bie
C1
Conference
2009
ModuleDigger: an itemset mining framework for the detection of cis-regulatory modules
Tijl De Bie
Kathleen Marchal
A1
Journal Article
in
BMC BIOINFORMATICS
2009
The condition-dependent transcriptional network in Escherichia coli
Tijl De Bie
Kathleen Marchal
A1
Journal Article
in
Annals of the New York Academy of Sciences
2009
2008
Integrating microarray and proteomics data to predict the response on cetuximab in patients with rectal cancer
Tijl De Bie
C1
Conference
2008
Learning performance of a machine translation system: a statistical and computational Analysis
Tijl De Bie
C1
Conference
2008
Magic moments for structured output prediction
Tijl De Bie
A1
Journal Article
in
JOURNAL OF MACHINE LEARNING RESEARCH
2008
2007
A metamorphosis of canonical correlation analysis into multivariate maximum margin learning
Tijl De Bie
C1
Conference
2007
Deploying sdp for machine learning
Tijl De Bie
C1
Conference
2007
Discriminative sequence labeling by Z-score optimization
Tijl De Bie
P1
Conference
2007
Kernel clustering for knowledge discovery in clinical microarray data analysis
Tijl De Bie
Bookchapter
in
Kernel methods in bioengineering, signal and image processing
2007
Kernel-based data fusion for gene prioritization
Tijl De Bie
A1
Journal Article
in
BIOINFORMATICS
2007
Learning to align: a statistical approach
Tijl De Bie
P1
Conference
2007
MINI: mining informative non-redundant itemsets
Tijl De Bie
P1
Conference
2007
Modeling sequence evolution with kernel methods
Tijl De Bie
A1
Journal Article
in
COMPUTATIONAL OPTIMIZATION AND APPLICATIONS
2007
2006
CAFE: a computational tool for the study of gene family evolution
Tijl De Bie
A1
Journal Article
in
BIOINFORMATICS
2006
Data mining, data fusion and information management
Tijl De Bie
A2
Journal Article
in
INTELLIGENT TRANSPORT SYSTEMS
2006
Fast SDP relaxations of graph cut clustering, transduction, and other combinatorial problems
Tijl De Bie
A1
Journal Article
in
JOURNAL OF MACHINE LEARNING RESEARCH
2006
Inferring transcriptional modules from ChIP-chip, motif and microarray data
Tijl De Bie
Kathleen Marchal
A1
Journal Article
in
GENOME BIOLOGY
2006
Semi-supervised learning using semi-definite programming
Tijl De Bie
Bookchapter
in
Semi-supervised learning
2006
The evolution of Mammalian gene families
Tijl De Bie
A1
Journal Article
in
PLOS ONE
2006
The minimum volume covering ellipsoid estimation in kernel-defined feature spaces
Tijl De Bie
A1
Journal Article
in
LECTURE NOTES IN COMPUTER SCIENCE
2006
2005
Artificial Intelligence
Tijl De Bie
Lemma
2005
Data mining in medicine
Tijl De Bie
Lemma
2005
Discovering transcriptional modules from motif, chip-chip and microarray data
Tijl De Bie
Kathleen Marchal
P1
Conference
2005
Eigenproblems in pattern recognition
Tijl De Bie
Bookchapter
in
Handbook of geometric computing
2005
Estimating the tempo and mode of gene family evolution from comparative genomic data
Tijl De Bie
A1
Journal Article
in
GENOME RESEARCH
2005
Expert Systems
Tijl De Bie
Lemma
2005
Machine Learning
Tijl De Bie
Lemma
2005
Neural Networks
Tijl De Bie
Lemma
2005
Semi-supervised learning based on kernel methods and graph cut algorithms
Tijl De Bie
Dissertation
2005
Support Vector Machines
Tijl De Bie
Lemma
2005
2004
A statistical framework for genomic data fusion
Tijl De Bie
A1
Journal Article
in
BIOINFORMATICS
2004
Convex methods for transduction
Tijl De Bie
P1
Conference
2004
Kernel methods for exploratory pattern analysis: a demonstration on text data
Tijl De Bie
A1
Journal Article
in
LECTURE NOTES IN COMPUTER SCIENCE
2004
Learning from general label constraints
Tijl De Bie
A1
Journal Article
in
LECTURE NOTES IN COMPUTER SCIENCE
2004
2003
Efficiently learning the metric with side-information
Tijl De Bie
A1
Journal Article
in
ALGORITHMIC LEARNING THEORY, PROCEEDINGS
2003
On the regularization of canonical correlation analysis
Tijl De Bie
C1
Conference
2003