Research Explorer

Your browser does not support JavaScript or JavaScript is not enabled. Without JavaScript some functions of this webapplication may be disabled or cause error messages. To enable JavaScript, please consult the manual of your browser or contact your system administrator.

Researcher

Tijl De Bie

Awards & Distinctions

224 Results

2025

Biased heritage : how datasets shape models in facial expression recognition

Iris Dominguez-CatenaDaniel PaternainMikel GalarMarybeth DefranceMaarten BuylTijl De Bie

Incorrect interpretation of the role of COVID-19 vaccination boosters in saving lives

A1 Journal Article in LANCET RESPIRATORY MEDICINE

LLM4Jobs : unsupervised occupation extraction and standardization leveraging large language models

Nan LiBo KangTijl De Bie

A1 Journal Article in KNOWLEDGE-BASED SYSTEMS

Maximal combinations of fairness definitions

Marybeth DefranceTijl De Bie

A1 Journal Article in JOURNAL OF ARTIFICIAL INTELLIGENCE RESEARCH

Modern accounting in the age of artificial intelligence

Sander NoelsTijl De BieBenjamin Vandermarliere

Towards deep localisation and separation with ad hoc distributed microphone arrays

Stijn KindtNilesh MadhuTijl De Bie

2024

A Dutch financial large language model

Sander NoelsJorne De BlaereTijl De Bie

A challenge-based survey of e-recruitment recommendation systems

Yoosof MashayekhiNan LiBo KangJefrey LijffijtTijl De Bie

A1 Journal Article in ACM COMPUTING SURVEYS

ABCFair: an Adaptable Benchmark approach for Comparing Fairness Methods

Marybeth DefranceMaarten BuylTijl De Bie

An empirical evaluation of network representation learning methods

Alexandru-Cristian MaraJefrey LijffijtTijl De Bie

A1 Journal Article in BIG DATA

BiMi sheets for bias mitigation methods

Marybeth DefranceMaarten BuylGuillaume BiedJefrey LijffijtTijl De Bie

Challenges in e-recruitment systems : algorithms to restore balance in competitive markets

Yoosof MashayekhiTijl De BieJefrey Lijffijt

Evaluating feature attribution methods in the image domain

Arne GevaertAxel-Jan RousseauThijs BeckerDirk ValkenborgTijl De BieYvan Saeys

A1 Journal Article in MACHINE LEARNING

Exploring the performance of continuous-time dynamic link prediction algorithms

Raphaël RomeroMaarten BuylTijl De BieJefrey Lijffijt

A1 Journal Article in APPLIED SCIENCES-BASEL

FAIRRET : a framework for differentiable fairness regularization terms

Maarten BuylMarybeth DefranceTijl De Bie

FEIR : quantifying and reducing envy and inferiority for fair recommendation of limited resources

Nan LiBo KangJefrey LijffijtTijl De Bie

A1 Journal Article in ACM TRANSACTIONS ON INTELLIGENT SYSTEMS AND TECHNOLOGY

GREASE : graph imbalance reduction by adding sets of edges

Yoosof MashayekhiBo KangJefrey LijffijtTijl De Bie

A1 Journal Article in IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

Gaan we als academici zomaar toekijken op de vernietiging van de universitaire gemeenschap in Palestina?

Koenraad BogaertEva BremsSami ZemniNadia FadilGert Van HeckenMarleen TemmermanMarc Van RanstItamar ShacharGita DeneckereLieven De Cauter et al.

Article in a newspaper

Incorporating topological priors into low-dimensional visualizations through topological regularization

Edith HeiterRobin VandaeleTijl De BieYvan SaeysJefrey Lijffijt

A1 Journal Article in IEEE ACCESS

Inherent limitations of AI fairness

Maarten BuylTijl De Bie

A1 Journal Article in COMMUNICATIONS OF THE ACM

KamerRaad : enhancing information retrieval in Belgian national politics through hierarchical summarization and conversational interfaces

Alexander RogiersMaarten BuylBo KangTijl De Bie

Modeling weighted and temporal graphs : methods and evaluation

Raphaël RomeroTijl De BieJefrey Lijffijt

Pattern or artifact? Interactively exploring embedding quality with TRACE

Edith HeiterLiesbet MartensRuth SeurinckMartin GuilliamsTijl De BieYvan SaeysJefrey Lijffijt

Scalable job recommendation with lower congestion using optimal transport

Yoosof MashayekhiBo KangJefrey LijffijtTijl De Bie

A1 Journal Article in IEEE ACCESS

TopoLedgerBERT : topological learning of ledger description embeddings using siamese BERT-networks

Sander NoelsSébastien ViaeneTijl De Bie

Unifying attribution-based explanation methods in machine learning

Arne GevaertYvan SaeysTijl De Bie

Zero-covid advocacy during the COVID-19 pandemic : a case study of views on Twitter/X

Kasper P. KeppKevin BardoshTijl De BieLouise EmilssonJustin GreavesTea LallukkaTaulant MukaJ. Christian RangelNiclas SandstromMichaela C. Schippers et al.

A2 Journal Article in MONASH BIOETHICS REVIEW

fairret : a framework for differentiable fairness regularization terms

Marybeth DefranceMaarten BuylTijl De Bie

2023

Accelerating progress in network representation learning : systematic evaluations and new approaches

Alexandru-Cristian MaraTijl De BieJefrey Lijffijt

An efficient graph-based peer selection method for financial statements

Sander NoelsSimon De RidderSebastien ViaeneTijl De Bie

A2 Journal Article in INTELLIGENT SYSTEMS IN ACCOUNTING FINANCE & MANAGEMENT

Automated financial analysis using GPT-4

Sander NoelsAdriaan MerlevedeAndrew FecheyrMaarten VanhalstNick MeerlaenSébastien ViaeneTijl De Bie

FEIR : quantifying and reducing envy and inferiority for fair recommendation of limited resources

Nan LiBo KangJefrey LijffijtTijl De Bie

Fairness regularization in machine learning : methods and limitations

Maarten BuylTijl De BieJefrey Lijffijt

Fairret : a framework for differentiable fairness regularization terms

Maarten BuylMarybeth DefranceTijl De Bie

Gaussian embedding of temporal networks

Raphaël RomeroJefrey LijffijtRiccardo RastelliMarco CorneliTijl De Bie

A1 Journal Article in IEEE ACCESS

Maximal fairness

Marybeth DefranceTijl De Bie

ReCon : reducing congestion in job recommendation using optimal transport

Yoosof MashayekhiBo KangJefrey LijffijtTijl De Bie

SkillGPT : a RESTful API service for skill extraction and standardization using a Large Language Model

Nan LiBo KangTijl De Bie

Topologically regularized data embeddings

Edith HeiterRobin VandaeleTijl De BieYvan SaeysJefrey Lijffijt

2022

A challenge-based survey of e-recruitment recommendation systems

Yoosof MashayekhiNan LiBo KangJefrey LijffijtTijl De Bie

A systematic evaluation of node embedding robustness

Alexandru-Cristian MaraJefrey LijffijtStephan GünnemannTijl De Bie

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

Sander NoelsBenjamin VandermarliereKen BastiaensenTijl De Bie

Automating data science

Tijl De BieLuc De RaedtJosé Hernández-OralloHolger H. HoosPadhraic SmythChristopher K. I. Williams

A1 Journal Article in COMMUNICATIONS OF THE ACM

Embedding-based next song recommendation for playlists

Raphaël RomeroTijl De Bie

EvalNE : a framework for network embedding evaluation

Alexandru-Cristian MaraJefrey LijffijtTijl De Bie

A1 Journal Article in SOFTWAREX

Evaluating feature attribution methods in the image domain

Arne GevaertAxel-Jan RousseauThijs BeckerDirk ValkenborgTijl De BieYvan Saeys

Evaluating representation learning and graph layout methods for visualization

Edith HeiterBo KangTijl De BieJefrey Lijffijt

A1 Journal Article in IEEE COMPUTER GRAPHICS AND APPLICATIONS

Graph-survival : a survival analysis framework for machine learning on temporal networks

Raphaël RomeroBo KangTijl De Bie

Inherent limitations of AI fairness

Maarten BuylTijl De Bie

Leveraging comprehensive cancer systems genetic data to uncover the modus operandi of driver mutations

Maarten LarmuseauKathleen MarchalTijl De Bie

Mining interesting outlier subgraphs in attributed graphs

Ahmad MelTijl De Bie

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

Xi ChenTijl De BieJefrey Lijffijt

Optimal transport of classifiers to fairness

Maarten BuylTijl De Bie

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

Robin VandaeleBo KangTijl De BieYvan Saeys

Topologically regularized data embeddings

Robin VandaeleBo KangJefrey LijffijtTijl 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

Tijl De BieLuc De RaedtJosé Hernández-OralloHolger H. HoosPadhraic SmythChristopher K. I. Williams

Conditional t-SNE : more informative t-SNE embeddings

Bo KangDarío García GarcíaJefrey LijffijtRaúl Santos-RodríguezTijl De Bie

A1 Journal Article in MACHINE LEARNING

Conditional t-SNE : more informative t-SNE embeddings

Bo KangDario Garcia GarciaJefrey LijffijtRaul Santos-RodriguezTijl 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 ChenPanayiotis TsaparasJefrey LijffijtTijl De Bie

A1 Journal Article in PLOS ONE

Quantifying and reducing imbalance in networks

Yoosof MashayekhiBo KangJefrey LijffijtTijl De Bie

Quantifying and reducing imbalance in networks

Yoosof MashayekhiBo KangJefrey LijffijtTijl De Bie

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 VandaeleBastian RieckYvan 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 KangKai PuolamäkiJefrey 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

CSNE : conditional signed network embedding

Alexandru-Cristian MaraYoosof MashayekhiJefrey 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

Rafael PoyiadziKacper SokolRaul Santos-RodriguezTijl De BiePeter Flach

FONDUE : framework for node disambiguation using network embeddings

Ahmad MelBo KangJefrey LijffijtTijl De Bie

Gibbs sampling subjectively interesting tiles

Anes BendimeradJefrey LijffijtMarc PlantevitCeline RobardetTijl De Bie

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

Kai PuolamäkiEmilia OikarinenBo 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 BieAristides GionisJefrey LijffijtAntonis MatakosPolina Rozenshtein

A1 Journal Article in DATA MINING AND KNOWLEDGE DISCOVERY

SIAS-miner : mining subjectively interesting attributed subgraphs

Anes BendimeradAhmad MelJefrey LijffijtMarc PlantevitCeline RobardetTijl 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)

Tijl De BieLuc De RaedtHolger H. HoosPadhraic Smyth

A4 Journal Article in DAGSTUHL REPORTS

Conditional network embeddings

Bo KangJefrey LijffijtTijl De Bie

Contrastive antichains in hierarchies

Anes BendimeradJefrey LijffijtMarc PlantevitCeline RobardetTijl 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 AdriaensCigdem AslayTijl De BieAristides GionisJefrey Lijffijt

Discovering interesting cycles in graphs

Florian AdriaensCigdem AslayTijl De BieAristides GionisJefrey 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 ChenPanayiotis TsaparasJefrey LijffijtTijl De Bie

Ordinal label proportions

Rafael PoyiadziRaúl Santos-RodríguezTijl De Bie

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 KangDylan CashmanRemco ChangJefrey 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 BieAristis GionisJefrey LijffijtPolina Rozenshtein

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

Kai PuolamäkiEmilia OikarinenBo KangJefrey LijffijtTijl De Bie

Mining subjectively interesting attributed subgraphs

Anes BendimeradAhmad MelJefrey LijffijtMarc PlantevitCéline RobardetTijl De Bie

Quantifying and minimizing risk of conflict in social networks

Xi ChenJefrey LijffijtTijl De Bie

SICA : subjectively interesting component analysis

Bo KangJefrey LijffijtRaúl Santos-RodríguezTijl 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 KangWouter DuivesteijnKai PuolamäkiEmilia OikarinenTijl 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 SimeoneR Santos-RodriguezM McVicarJefrey LijffijtTijl De Bie

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

Kai PuolamäkiEmilia OikarinenBo KangJefrey LijffijtTijl De Bie

Subjectively Interesting Subgroup Discovery on Real-valued Targets

Jefrey LijffijtBo KangWouter DuivesteijnKai PuolamäkiEmilia OikarinenTijl De Bie

Subjectively interesting connecting trees

Florian AdriaensJefrey LijffijtTijl De Bie

2016

A tool for subjective and interactive visual data exploration

Bo KangKai PuolamäkiJefrey LijffijtTijl De Bie

Detecting trends in Twitter time series

Tijl De BieJefrey LijffijtCedric MesnageRaul Santos-Rodriguez

Direct mining of subjectively interesting relational patterns

Tias GunsAchille AkninJefrey LijffijtTijl De Bie

Informative data projections : a framework and two examples

Tijl De BieJefrey LijffijtRaul Santos-RodriguezBo Kang

Interactive visual data exploration with subjective feedback

Kai PuolamäkiBo KangJefrey LijffijtTijl De Bie

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

Jefrey LijffijtEirini SpyropoulouBo 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 KangKai PuolamäkiTijl De Bie

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

Matt McVicarBenjamin SachCedric MesnageJefrey LijffijtEirini SpyropoulouTijl De Bie

A1 Journal Article in PATTERN RECOGNITION LETTERS

Subjective interestingness of subgraph patterns

Matthijs van LeeuwenTijl De BieEirini SpyropoulouCédric Mesnage

A1 Journal Article in MACHINE LEARNING

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

Bo KangJefrey LijffijtRaúl Santos-RodríguezTijl 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 LijffijtRaul Santos-RodriguezBo Kang

Interactively exploring supply and demand in the UK independent music scene

Matthew McVicarCedric MesnageJefrey LijffijtTijl De Bie

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

Jefrey LijffijtEirini SpyropoulouBo KangTijl De Bie

2014

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

Matt McVicarRaul Santos-RodriguezYizhao NiTijl De Bie

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

Eirini SpyropoulouTijl De BieMario Boley

A1 Journal Article in DATA MINING AND KNOWLEDGE DISCOVERY

Mining approximate multi-relational patterns

Eirini SpyropoulouTijl De Bie

2013

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

Tijl De BieEirini Spyropoulou

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

Tijl De BiePeter A Flach

Editorial material

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

Tijl De BiePeter A Flach

Editorial material

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

Kleanthis-Nikolaos KontonasiosJilles VreekenTijl De Bie

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

Eirini SpyropoulouTijl De BieMario Boley

Research methods in the age of digital journalism

Ilias FlaounasOmar AliThomas Lansdall-WelfareTijl De BieNick MosdellJustin LewisNello Cristianini

A1 Journal Article in DIGITAL JOURNALISM

Subjective interestingness in exploratory data mining

Subjectively interesting alternative clusterings

Kleanthis-Nikolaos KontonasiosTijl De Bie

A1 Journal Article in MACHINE LEARNING

Understanding effects of subjectivity in measuring chord estimation accuracy

Yizhao NiMatt McVicarRaul Santos-RodriguezTijl De Bie

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

2012

An empirical comparison of label prediction algorithms on automatically inferred networks

Omar AliGiovanni ZappellaTijl De BieNello Cristianini

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

Yizhao NiMatt McVicarRaul Santos-RodriguezTijl De Bie

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

Matt McVicarTijl De Bie

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

Kleanthis-Nikolaos KontonasiosTijl De Bie

Knowledge discovery interestingness measures based on unexpectedness

Kleanthis-Nikolaos KontonasiosEirini SpyropoulouTijl De Bie

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

Learning to translate: a statistical and computational analysis

Marco TurchiTijl De BieCyril GoutteNello Cristianini

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

Nick FysonTijl De BieNello Cristianini

A1 Journal Article in NEUROCOMPUTING

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

Yizhao NiMatt McVicarRaul Santos-RodriguezTijl De Bie

2011

An information theoretic framework for data mining

Celebrity watch: browsing news content by exploiting social intelligence

Omar AliIlias FlaounasTijl De BieNello Cristianini

Interesting multi-relational patterns

Eirini SpyropoulouTijl De Bie

Leveraging noisy online databases for use in chord recognition

Matt McVicarYizhao NiRaul Santos-RodriguezTijl De Bie

Maximum entropy modelling for assessing results on real-valued data

Kleanthis-Nikolaos KontonasiosJilles VreekenTijl De Bie

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

Matt McVicarTim FreemanTijl De Bie

NOAM: News Outlets Analysis and Monitoring System

Ilias FlaounasOmar AliMarco TurchiTristan SnowsillFlorent NicartTijl De BieNello Cristianini

Reconstruction of causal networks by set covering

Nick FysonTijl De BieNello Cristianini

Refining causality: who copied from whom?

Tristan SnowsillNick FysonTijl De BieNello Cristianini

Subjectively interesting alternative clusters

Using online chord databases to ehance chord recognition

Matt McVicarYizhao NiRaul Santos-RodriguezTijl De Bie

A1 Journal Article in JOURNAL OF NEW MUSIC RESEARCH

2010

A framework for mining interesting pattern sets

Tijl De BieKleanthis-Nikolaos KontonasiosEirini Spyropoulou

A2 Journal Article in ACM SIGKDD EXPLORATIONS NEWSLETTER

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

Kleanthis-Nikolaos KontonasiosTijl De Bie

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

Omar AliIlias FlaounasTijl De BieNick MosdellJustin LewisNello Cristianini

Detecting events in a million New York times articles

Tristan SnowsillIlias FlaounasTijl De BieNello Cristianini

Enhancing chord recognition accuracy using web resources

Matt McVicarTijl De Bie

Finding surprising patterns in textual data streams

Tristan SnowsillFlorent NicartMarco StefaniTijl De BieNello Cristianini

Flu detector: tracking epidemics on Twitter

Vasileios LamposTijl De BieNello Cristianini

The structure of the EU mediasphere

Ilias FlaounasMarco TurchiOmar AliNick FysonTijl De BieNick MosdellJustin LewisNello Cristianini

A1 Journal Article in PLOS ONE

2009

An intelligent agent that autonomously learns how to translate

Marco TurchiTijl De BieNello Cristianini

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

Karen LemmensTijl De BieThomas DhollanderSigrid CJ De KeersmaeckerInge M ThijsGeert SchoofsAmi De WeerdtBart De MoorJos VanderleydenJulio Collado-Vides et al.

A1 Journal Article in GENOME BIOLOGY

Found in translation

Marco TurchiIlias FlaounasOmar AliTijl De BieTristan SnowsillNello Cristianini

Inference and validation of networks

Ilias N FlaounasMarco TurchiTijl De BieNello Cristianini

Machine learning with labeled and unlabeled data

Tijl De BieThiago Turchetti MaiaAntônio de Pádua Braga

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

Hong SunTijl De BieValerie StormsQiang FuThomas DhollanderKaren LemmensAnnemieke VerstuyfBart De MoorKathleen Marchal

A1 Journal Article in BMC BIOINFORMATICS

The condition-dependent transcriptional network in Escherichia coli

Karen LemmensTijl De BieThomas DhollanderPieter MonsieursBart De MoorJulio Collado-VidesKristof EngelenKathleen 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

Anneleen DaemenOlivier GevaertTijl De BieAnnelies DebucquoyJean-Pascal MachielsBart De MoorKarin Haustermans

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

Marco TurchiTijl De BieNello Cristianini

Magic moments for structured output prediction

Elisa RicciTijl De BieNello Cristianini

A1 Journal Article in JOURNAL OF MACHINE LEARNING RESEARCH

2007

A metamorphosis of canonical correlation analysis into multivariate maximum margin learning

Sandor SzedmakTijl De BieDavid Hardoon

Deploying sdp for machine learning

Discriminative sequence labeling by Z-score optimization

Elisa RicciTijl De BieNello Cristianini

Kernel clustering for knowledge discovery in clinical microarray data analysis

Nathalie PochetFabian OjedaFrank De SmetTijl De BieJohan SuykensBart De Moor

Bookchapter in Kernel methods in bioengineering, signal and image processing

Kernel-based data fusion for gene prioritization

Tijl De BieLeon-Charles TrancheventLiesbeth MM Van OeffelenYves Moreau

A1 Journal Article in BIOINFORMATICS

Learning to align: a statistical approach

Elisa RicciTijl De BieNello Cristianini

MINI: mining informative non-redundant itemsets

Arianna GalloTijl De BieNello Cristianini

Modeling sequence evolution with kernel methods

Margherita BrescoMarco TurchiTijl De BieNello Cristianini

A1 Journal Article in COMPUTATIONAL OPTIMIZATION AND APPLICATIONS

2006

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

Tijl De BieN CristianiniJP DemuthMW Hahn

A1 Journal Article in BIOINFORMATICS

Data mining, data fusion and information management

John Shawe-TaylorTijl De BieNello Cristianini

A2 Journal Article in INTELLIGENT TRANSPORT SYSTEMS

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

Tijl De BieNello Cristianini

A1 Journal Article in JOURNAL OF MACHINE LEARNING RESEARCH

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

Karen LemmensThomas DhollanderTijl De BiePieter MonsieursKristof EngelenBart SmetsJoris WinderickxBart De MoorKathleen Marchal

A1 Journal Article in GENOME BIOLOGY

Semi-supervised learning using semi-definite programming

Tijl De BieNello Cristianini

Bookchapter in Semi-supervised learning

The evolution of Mammalian gene families

Jeffery P DemuthTijl De BieJason E StajichNello CristianiniMatthew W Hahn

A1 Journal Article in PLOS ONE

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

Alexander N DoliaTijl De BieChris J HarrisJohn Shawe-TaylorDM Titterington

A1 Journal Article in LECTURE NOTES IN COMPUTER SCIENCE

2005

Artificial Intelligence

Nello CristianiniTijl De Bie

Data mining in medicine

Nello CristianiniTijl De Bie

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

Tijl De BiePieter MonsieursKristof EngelenBart De MoorNello CristianiniKathleen Marchal

Eigenproblems in pattern recognition

Tijl De BieNello CristianiniRoman Rosipal

Bookchapter in Handbook of geometric computing

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

MW HahnTijl De BieJE StajichC NguyenN Cristianini

A1 Journal Article in GENOME RESEARCH

Nello CristianiniTijl De Bie

Machine Learning

Nello CristianiniTijl De Bie

Neural Networks

Nello CristianiniTijl De Bie

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

Tijl De BieBart De Moor

Support Vector Machines

Nello CristianiniTijl De Bie

2004

A statistical framework for genomic data fusion

GRG LanckrietTijl De BieN CristianiniMI JordanWS Noble

A1 Journal Article in BIOINFORMATICS

Convex methods for transduction

Tijl De BieNello Cristianini

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

Tijl De BieNello Cristianini

A1 Journal Article in LECTURE NOTES IN COMPUTER SCIENCE

Learning from general label constraints

Tijl De BieJohan SuykensBart De Moor

A1 Journal Article in LECTURE NOTES IN COMPUTER SCIENCE

2003

Efficiently learning the metric with side-information

Tijl De BieMichinari MommaNello Cristianini

A1 Journal Article in ALGORITHMIC LEARNING THEORY, PROCEEDINGS

On the regularization of canonical correlation analysis

Tijl De BieBart De Moor