Research Explorer

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Researcher

Tijl De Bie

172 Results

2022

An earth mover's distance based graph distance metric for financial statements

Sander NoelsTijl De Bie

An empirical evaluation of network representation learning methods

Alexandru Cristian MaraJefrey LijffijtTijl De Bie

A1 Journal Article in BIG DATA

Automating data science

A1 Journal Article in COMMUNICATIONS OF THE ACM

EvalNE : a framework for network embedding evaluation

Alexandru Cristian MaraJefrey LijffijtTijl De Bie

A1 Journal Article in SOFTWAREX

Evaluating representation learning and graph layout methods for visualization

Edith HeiterBo KangTijl De BieJefrey Lijffijt

A1 Journal Article in IEEE COMPUTER GRAPHICS AND APPLICATIONS

Opinion dynamics and link prediction in networks : models, data efficiency, and robustness

Xi ChenTijl De BieJefrey Lijffijt

The curse revisited : when are distances informative for the ground truth in noisy high-dimensional data?

Robin VandaeleBo KangTijl De BieYvan Saeys

2021

ALPINE : active link prediction using network embedding

Xi ChenBo KangJefrey LijffijtTijl De Bie

A1 Journal Article in APPLIED SCIENCES-BASEL

Adversarial robustness of probabilistic network embedding for link prediction

Xi ChenBo KangJefrey LijffijtTijl De Bie

Automating data science : prospects and challenges

Conditional t-SNE : more informative t-SNE embeddings

Bo KangJefrey LijffijtTijl De Bie

A1 Journal Article in MACHINE LEARNING

Conditional t-SNE : more informative t-SNE embeddings

Bo KangJefrey LijffijtTijl De Bie

Explanations for network embedding-based link predictions

Bo KangJefrey LijffijtTijl De Bie

FONDUE : a framework for node disambiguation and deduplication using network embeddings

Ahmad MelBo KangJefrey LijffijtTijl De Bie

A1 Journal Article in APPLIED SCIENCES-BASEL

Graph approximations to geodesics on metric graphs

Robin VandaeleYvan SaeysTijl De Bie

Mining subjectively interesting patterns in rich data

Junning DengTijl De BieJefrey Lijffijt

Music information retrieval methods for analyzing and modifying percussion-based audio

Len Vande VeireTijl De BieCedric De Boom

Opinion dynamics with backfire effect and biased assimilation

Xi ChenJefrey LijffijtTijl De Bie

A1 Journal Article in PLOS ONE

Sigmoidal NMFD : convolutional NMF with saturating activations for drum mixture decomposition

Len Vande VeireCedric De BoomTijl De Bie

A1 Journal Article in ELECTRONICS

Stable topological signatures for metric trees through graph approximations

Robin VandaeleYvan SaeysTijl De Bie

A1 Journal Article in PATTERN RECOGNITION LETTERS

The KL-divergence between a graph model and its fair I-projection as a fairness regularizer

Maarten BuylTijl De Bie

2020

A constrained randomization approach to interactive visual data exploration with subjective feedback

Bo KangJefrey LijffijtTijl De Bie

A1 Journal Article in IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

ALPINE : Active Link Prediction using Network Embedding

Xi ChenBo KangJefrey LijffijtTijl De Bie

Adapted NMFD update procedure for removing double hits in drum mixture decompositions

Len Vande VeireCedric De BoomTijl De Bie

Benchmarking network embedding models for link prediction : are we making progress?

Alexandru Cristian MaraJefrey LijffijtTijl De Bie

Block-approximated exponential random graphs

Florian AdriaensAlexandru Cristian MaraJefrey LijffijtTijl De Bie

DeBayes : a Bayesian method for debiasing network embeddings

Maarten BuylTijl De Bie

Explainable subgraphs with surprising densities : a subgroup discovery approach

Junning DengBo KangJefrey LijffijtTijl De Bie

FACE : Feasible and Actionable Counterfactual Explanations

FONDUE : framework for node disambiguation using network embeddings

Ahmad MelBo KangJefrey LijffijtTijl De Bie

Gibbs sampling subjectively interesting tiles

Jefrey LijffijtTijl De Bie

Interactive visual data exploration with subjective feedback : an information-theoretic approach

Bo KangJefrey LijffijtTijl De Bie

A1 Journal Article in DATA MINING AND KNOWLEDGE DISCOVERY

Mining and modeling graphs using patterns and priors

Florian AdriaensTijl De BieJefrey Lijffijt

Mining explainable local and global subgraph patterns with surprising densities

Junning DengBo KangJefrey LijffijtTijl De Bie

A1 Journal Article in DATA MINING AND KNOWLEDGE DISCOVERY

Mining topological structure in graphs through forest representations

Robin VandaeleYvan SaeysTijl De Bie

A1 Journal Article in JOURNAL OF MACHINE LEARNING RESEARCH

Network representation learning for link prediction : are we improving upon simple heuristics?

Alexandru Cristian MaraJefrey LijffijtTijl De Bie

Relaxing the strong triadic closure problem for edge strength inference

Florian AdriaensTijl De BieJefrey Lijffijt

A1 Journal Article in DATA MINING AND KNOWLEDGE DISCOVERY

SIAS-miner : mining subjectively interesting attributed subgraphs

Ahmad MelJefrey LijffijtTijl De Bie

A1 Journal Article in DATA MINING AND KNOWLEDGE DISCOVERY

Topological inference in graphs and images

Robin VandaeleTijl De BieYvan Saeys

2019

A CycleGAN for style transfer between drum and bass subgenres

Len Vande VeireTijl De BieJoni Dambre

Automating Data Science (Dagstuhl Seminar 18401)

A4 Journal Article in DAGSTUHL REPORTS

Conditional network embeddings

Bo KangJefrey LijffijtTijl De Bie

Contrastive antichains in hierarchies

Jefrey LijffijtTijl De Bie

Design and validation of an auditory biofeedback system for modification of running parameters

Valerio LorenzoniPieter Van den BerghePieter-Jan MaesTijl De BieDirk De ClercqMarc Leman

A1 Journal Article in JOURNAL ON MULTIMODAL USER INTERFACES

Discovering interesting cycles in directed graphs

Florian AdriaensTijl De BieJefrey Lijffijt

Discovering interesting cycles in graphs

Florian AdriaensTijl De BieJefrey Lijffijt

EvalNE : a framework for Evaluating Network Embeddings on link prediction

Alexandru Cristian MaraJefrey LijffijtTijl De Bie

EvalNE : a framework for evaluating network embeddings on link prediction

Alexandru Cristian MaraJefrey LijffijtTijl De Bie

ExplaiNE : an approach for Explaining Network Embedding-based link predictions

Bo KangJefrey LijffijtTijl De Bie

Explainable subgraphs with surprising densities : a subgroup discovery approach

Junning DengBo KangJefrey LijffijtTijl De Bie

Learning subjectively interesting data representations

Bo KangTijl De BieJefrey Lijffijt

Local topological data analysis to uncover the global structure of data approaching graph-structured topologies

Robin VandaeleTijl De BieYvan Saeys

Opinion dynamics with backfire effect and biased assimilation

Xi ChenJefrey LijffijtTijl De Bie

Ordinal label proportions

SIMIT : subjectively interesting motifs in time series

Junning DengJefrey LijffijtBo KangTijl De Bie

A1 Journal Article in ENTROPY

Subjectively interesting connecting trees and forests

Florian AdriaensJefrey LijffijtTijl De Bie

A1 Journal Article in DATA MINING AND KNOWLEDGE DISCOVERY

The boundary coefficient : a vertex measure for visualizing and finding structure in weighted graphs

Robin VandaeleYvan SaeysTijl De Bie

The effect of (a)synchronous music on runners‘ lower leg impact loading

Valerio LorenzoniTijl De BieThierry MarchantEdith Van DyckMarc Leman

A1 Journal Article in MUSICAE SCIENTIAE

2018

A biofeedback music-sonification system for gait retraining

Valerio LorenzoniPieter-Jan MaesPieter Van den BergheDirk De ClercqTijl De BieMarc Leman

CLIPPR: Maximally Informative CLIPped PRojections with Bounding Regions

Bo KangJefrey LijffijtTijl De Bie

Conditional network embeddings

Bo KangJefrey LijffijtTijl De Bie

From acquaintance to best friend forever: robust and fine-grained inference of social-tie strengths

Florian AdriaensTijl De BieJefrey Lijffijt

From raw audio to a seamless mix : creating an automated DJ system for drum and bass

Len Vande VeireTijl De Bie

A1 Journal Article in EURASIP JOURNAL ON AUDIO SPEECH AND MUSIC PROCESSING

Interactive visual data exploration with subjective feedback : an information-theoretic approach

Bo KangJefrey LijffijtTijl De Bie

Mining subjectively interesting attributed subgraphs

Ahmad MelJefrey LijffijtTijl De Bie

Quantifying and minimizing risk of conflict in social networks

Xi ChenJefrey LijffijtTijl De Bie

SICA : subjectively interesting component analysis

Bo KangJefrey LijffijtTijl De Bie

A1 Journal Article in DATA MINING AND KNOWLEDGE DISCOVERY

Subjectively interesting motifs in time series

Junning DengJefrey LijffijtBo KangTijl De Bie

Subjectively interesting subgroup discovery on real-valued targets

Jefrey LijffijtBo KangTijl De Bie

The normalized Friedkin-Johnsen model (a work-in-progress report)

Xi ChenJefrey LijffijtTijl De Bie

2017

Clipped projections for more informative visualizations [a work-in-progress report]

Bo KangJunning DengJefrey LijffijtTijl De Bie

Hierarchical novelty detection

Paolo SimeoneJefrey LijffijtTijl De Bie

Interactive visual data exploration with subjective feedback : an information-theoretic approach

Bo KangJefrey LijffijtTijl De Bie

Subjectively Interesting Subgroup Discovery on Real-valued Targets

Jefrey LijffijtBo KangWouter DuivesteijnTijl De Bie

Subjectively interesting connecting trees

Florian AdriaensJefrey LijffijtTijl De Bie

2016

A tool for subjective and interactive visual data exploration

Bo KangJefrey LijffijtTijl De Bie

Detecting trends in Twitter time series

Tijl De BieJefrey Lijffijt

Direct mining of subjectively interesting relational patterns

Jefrey LijffijtTijl De Bie

Informative data projections : a framework and two examples

Tijl De BieJefrey LijffijtBo Kang

Interactive visual data exploration with subjective feedback

Bo KangJefrey LijffijtTijl De Bie

P-N-RMiner : a generic framework for mining interesting structured relational patterns

Jefrey LijffijtBo KangTijl De Bie

A2 Journal Article in INTERNATIONAL JOURNAL OF DATA SCIENCE AND ANALYTICS

SIDE : a web app for interactive visual data exploration with subjective feedback

Jefrey LijffijtBo KangTijl De Bie

SuMoTED : an intuitive edit distance between rooted unordered uniquely-labelled trees

Jefrey LijffijtTijl De Bie

A1 Journal Article in PATTERN RECOGNITION LETTERS

Subjective interestingness of subgraph patterns

A1 Journal Article in MACHINE LEARNING

Subjectively interesting component analysis : data projections that contrast with prior expectations

Bo KangJefrey LijffijtTijl De Bie

2015

Advances in intelligent data analysis XIV: proceedings of the 14th international symposium on on Intelligent Data Analysis (IDA)

Informative data projections : a framework and two examples

Tijl De BieJefrey LijffijtBo Kang

Interactively exploring supply and demand in the UK independent music scene

Jefrey LijffijtTijl De Bie

P-N-RMiner : a generic framework for mining interesting structured relational patterns

Jefrey LijffijtBo KangTijl De Bie

2014

Automatic chord estimation from audio: a review of the state of the art

A1 Journal Article in IEEE-ACM TRANSACTIONS ON AUDIO SPEECH AND LANGUAGE PROCESSING

Formalising the subjective interestingness of a linear projection of a data set : two examples

Interesting pattern mining in multi-relational data

A1 Journal Article in DATA MINING AND KNOWLEDGE DISCOVERY

2013

A theoretical framework for exploratory data mining: recent insights and challenges ahead

Guest editors' introduction: special section of selected papers from ECML-PKDD 2012

Editorial material

Introduction: special issue of selected papers from ECML-PKDD 2012

Editorial material

Maximum entropy models for iteratively identifying subjectively interesting structure in real-valued data

Mining interesting patterns in multi-relational data with N-ary relationships

Research methods in the age of digital journalism

A1 Journal Article in DIGITAL JOURNALISM

Subjective interestingness in exploratory data mining

Subjectively interesting alternative clusterings

A1 Journal Article in MACHINE LEARNING

Understanding effects of subjectivity in measuring chord estimation accuracy

A1 Journal Article in IEEE TRANSACTIONS ON AUDIO SPEECH AND LANGUAGE PROCESSING

2012

An empirical comparison of label prediction algorithms on automatically inferred networks

An end-to-end machine learning system for harmonic analysis of music

A1 Journal Article in IEEE TRANSACTIONS ON AUDIO SPEECH AND LANGUAGE PROCESSING

CCA and a multi-way extension for investigating common components between audio, lyrics and tags

Formalizing complex prior information to quantify subjective interestingness of frequent pattern sets

Knowledge discovery interestingness measures based on unexpectedness

A1 Journal Article in WILEY INTERDISCIPLINARY REVIEWS-DATA MINING AND KNOWLEDGE DISCOVERY

Learning to translate: a statistical and computational analysis

A2 Journal Article in ADVANCES IN ARTIFICIAL INTELLIGENCE

Machine learning and knowledge discovery in databases: ECML-PKDD Proceedings, Part I

Machine learning and knowledge discovery in databases: ECML-PKDD Proceedings, Part II

The NETCOVER algorithm for the reconstruction of causal networks

A1 Journal Article in NEUROCOMPUTING

Using hyper-genre training to explore genre information for automatic chord estimation

2011

An information theoretic framework for data mining

Celebrity watch: browsing news content by exploiting social intelligence

Interesting multi-relational patterns

Leveraging noisy online databases for use in chord recognition

Maximum entropy modelling for assessing results on real-valued data

Maximum entropy models and subjective interestingness: an application to tiles in binary databases

A1 Journal Article in DATA MINING AND KNOWLEDGE DISCOVERY

Mining the correlation between lyrical and audio features and the emergence of mood

NOAM: News Outlets Analysis and Monitoring System

Reconstruction of causal networks by set covering

Refining causality: who copied from whom?

Subjectively interesting alternative clusters

Using online chord databases to ehance chord recognition

A1 Journal Article in JOURNAL OF NEW MUSIC RESEARCH

2010

A framework for mining interesting pattern sets

A2 Journal Article in ACM SIGKDD EXPLORATIONS NEWSLETTER

An information-theoretic approach to finding informative noisy tiles in binary databases

Automating news content analysis: an application to gender bias and readability

Detecting events in a million New York times articles

Enhancing chord recognition accuracy using web resources

Finding surprising patterns in textual data streams

Flu detector: tracking epidemics on Twitter

The structure of the EU mediasphere

A1 Journal Article in PLOS ONE

2009

An intelligent agent that autonomously learns how to translate

DISTILLER: a data integration framework to reveal condition dependency of complex regulons in Escherichia coli

Tijl De BieKathleen Marchal

A1 Journal Article in GENOME BIOLOGY

Found in translation

Inference and validation of networks

Machine learning with labeled and unlabeled data

ModuleDigger: an itemset mining framework for the detection of cis-regulatory modules

Tijl De BieKathleen Marchal

A1 Journal Article in BMC BIOINFORMATICS

The condition-dependent transcriptional network in Escherichia coli

Tijl De BieKathleen Marchal

A1 Journal Article in Annals of the New York Academy of Sciences

2008

Integrating microarray and proteomics data to predict the response on cetuximab in patients with rectal cancer

Learning performance of a machine translation system: a statistical and computational Analysis

Magic moments for structured output prediction

A1 Journal Article in JOURNAL OF MACHINE LEARNING RESEARCH

2007

A metamorphosis of canonical correlation analysis into multivariate maximum margin learning

Deploying sdp for machine learning

Discriminative sequence labeling by Z-score optimization

Kernel clustering for knowledge discovery in clinical microarray data analysis

Bookchapter in Kernel methods in bioengineering, signal and image processing

Kernel-based data fusion for gene prioritization

A1 Journal Article in BIOINFORMATICS

Learning to align: a statistical approach

MINI: mining informative non-redundant itemsets

Modeling sequence evolution with kernel methods

A1 Journal Article in COMPUTATIONAL OPTIMIZATION AND APPLICATIONS

2006

CAFE: a computational tool for the study of gene family evolution

A1 Journal Article in BIOINFORMATICS

Data mining, data fusion and information management

A2 Journal Article in INTELLIGENT TRANSPORT SYSTEMS

Fast SDP relaxations of graph cut clustering, transduction, and other combinatorial problems

A1 Journal Article in JOURNAL OF MACHINE LEARNING RESEARCH

Inferring transcriptional modules from ChIP-chip, motif and microarray data

Tijl De BieKathleen Marchal

A1 Journal Article in GENOME BIOLOGY

Semi-supervised learning using semi-definite programming

Bookchapter in Semi-supervised learning

The evolution of Mammalian gene families

A1 Journal Article in PLOS ONE

The minimum volume covering ellipsoid estimation in kernel-defined feature spaces

A1 Journal Article in LECTURE NOTES IN COMPUTER SCIENCE

2005

Artificial Intelligence

Data mining in medicine

Discovering transcriptional modules from motif, chip-chip and microarray data

Tijl De BieKathleen Marchal

Eigenproblems in pattern recognition

Bookchapter in Handbook of geometric computing

Estimating the tempo and mode of gene family evolution from comparative genomic data

A1 Journal Article in GENOME RESEARCH

Machine Learning

Neural Networks

Semi-supervised learning based on kernel methods and graph cut algorithms

Support Vector Machines

2004

A statistical framework for genomic data fusion

A1 Journal Article in BIOINFORMATICS

Convex methods for transduction

Kernel methods for exploratory pattern analysis: a demonstration on text data

A1 Journal Article in LECTURE NOTES IN COMPUTER SCIENCE

Learning from general label constraints

A1 Journal Article in LECTURE NOTES IN COMPUTER SCIENCE

2003

Efficiently learning the metric with side-information

A1 Journal Article in ALGORITHMIC LEARNING THEORY, PROCEEDINGS

On the regularization of canonical correlation analysis