Research Explorer

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Researcher

Jefrey Lijffijt

Publications & Research Data

Awards & Distinctions

115 Results

2025

Characterizing bird movement using spectral clustering

Raphaël RomeroLucy MitchellFrederick VerbruggenLuc LensJefrey Lijffijt

InfoClus : informative clustering of high-dimensional data embeddings

Fuyin LaiEdith HeiterGuillaume BiedJefrey Lijffijt

InfoClus : informative clustering of high-dimensional data embeddings

Fuyin LaiEdith HeiterGuillaume BiedJefrey Lijffijt

Principled data mining on graphs : of disentangled nodes and subjective patterns

Arno MelTijl De BieJefrey Lijffijt

SimHawNet : a modified Hawkes process for temporal network simulation

Mathilde PerezRaphaël RomeroBo KangTijl De BieJefrey LijffijtCharlotte Laclau

A1 Journal Article in DATA MINING AND KNOWLEDGE DISCOVERY

2024

A challenge-based survey of e-recruitment recommendation systems

Yoosof MashayekhiNan LiBo KangJefrey LijffijtTijl De Bie

A1 Journal Article in ACM COMPUTING SURVEYS

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

Exploring the performance of continuous-time dynamic link prediction algorithms

Raphaël RomeroMaarten BuylTijl De BieJefrey Lijffijt

A1 Journal Article in APPLIED SCIENCES-BASEL

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

Incorporating topological priors into low-dimensional visualizations through topological regularization

Edith HeiterRobin VandaeleTijl De BieYvan SaeysJefrey Lijffijt

A1 Journal Article in IEEE ACCESS

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

2023

34th Joint Benelux Conference, BNAIC/Benelearn 2022, Revised selected papers

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

Alexandru-Cristian MaraTijl De BieJefrey Lijffijt

Fairness regularization in machine learning : methods and limitations

Maarten BuylTijl De BieJefrey Lijffijt

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

Nan LiBo KangJefrey LijffijtTijl De Bie

Gaussian embedding of temporal networks

Raphaël RomeroJefrey LijffijtRiccardo RastelliMarco CorneliTijl De Bie

A1 Journal Article in IEEE ACCESS

ReCon : reducing congestion in job recommendation using optimal transport

Yoosof MashayekhiBo KangJefrey LijffijtTijl De Bie

Revised conditional t-SNE : looking beyond the nearest neighbors

Edith HeiterBo KangRuth SeurinckJefrey Lijffijt

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

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

Introduction to the special section on AI in manufacturing : current trends and challenges

Jefrey LijffijtDimitra GkorouPieter Van HertumAlexander YpmaMykola PechenizkiyJoaquin Vanschoren

A4 Journal Article in SIGKDD EXPLORATIONS

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

Xi ChenTijl De BieJefrey Lijffijt

Topologically regularized data embeddings

Robin VandaeleBo KangJefrey LijffijtTijl De BieYvan Saeys

2021

Adversarial robustness of probabilistic network embedding for link prediction

Xi ChenBo KangJefrey LijffijtTijl De Bie

ALPINE : active link prediction using network embedding

Xi ChenBo KangJefrey LijffijtTijl De Bie

A1 Journal Article in APPLIED SCIENCES-BASEL

Artificial Intelligence and Machine Learning, 32nd Benelux Conference, BNAIC/Benelearn 2020, Revised Selected Papers

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

Machine learning and knowledge discovery in databases, European Conference, ECML PKDD 2020, Proceedings, Part I

Machine learning and knowledge discovery in databases, European Conference, ECML PKDD 2020, Proceedings, Part II

Machine learning and knowledge discovery in databases, European Conference, ECML PKDD 2020, Proceedings, Part III

Mining subjectively interesting patterns in rich data

Junning DengTijl De BieJefrey Lijffijt

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

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

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

Explainable subgraphs with surprising densities : a subgroup discovery approach

Junning DengBo KangJefrey LijffijtTijl De Bie

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

History of English as punctuated equilibria? A meta-analysis of the rate of linguistic change in Middle English

Terttu NevalainenTanja SäilyTuro VartiainenAatu LiimattaJefrey Lijffijt

A2 Journal Article in JOURNAL OF HISTORICAL SOCIOLINGUISTICS

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

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

2019

Conditional network embeddings

Bo KangJefrey LijffijtTijl De Bie

Contrastive antichains in hierarchies

Anes BendimeradJefrey LijffijtMarc PlantevitCeline RobardetTijl De Bie

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

Explainable subgraphs with surprising densities : a subgroup discovery approach

Junning DengBo KangJefrey LijffijtTijl De Bie

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

Bo KangJefrey LijffijtTijl De Bie

Learning subjectively interesting data representations

Bo KangTijl De BieJefrey Lijffijt

Opinion dynamics with backfire effect and biased assimilation

Xi ChenPanayiotis TsaparasJefrey LijffijtTijl 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

2018

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

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

A simple model for recognizing core genres in the BNC

Jefrey LijffijtTerttu Nevalainen

Bookchapter in Big and rich data in English corpus linguistics : methods and explorations

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 connecting trees

Florian AdriaensJefrey LijffijtTijl De Bie

Subjectively Interesting Subgroup Discovery on Real-valued Targets

Jefrey LijffijtBo KangWouter DuivesteijnKai PuolamäkiEmilia OikarinenTijl 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

Significance testing of word frequencies in corpora

Jefrey LijffijtTerttu NevalainenTanja SailyPanagiotis PapapetrouKai PuolamakiHeikki Mannila

A1 Journal Article in DIGITAL SCHOLARSHIP IN THE HUMANITIES

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

Bo KangJefrey LijffijtRaúl Santos-RodríguezTijl 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

2015

Covering the egonet: a crowdsourcing approach to social circle discovery on Twitter

Karmen DykstraJefrey LijffijtAristides Gionis

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

Size matters: choosing the most informative set of window lengths for mining patterns in event sequences

Jefrey LijffijtPanagiotis PapapetrouKai Puolamaki

A1 Journal Article in DATA MINING AND KNOWLEDGE DISCOVERY

2014

A statistical significance testing approach to mining the most informative set of patterns

Jefrey LijffijtPanagiotis PapapetrouKai Puolamaki

A1 Journal Article in DATA MINING AND KNOWLEDGE DISCOVERY

2013

A fast and simple method for mining subsequences with surprising event counts

Jefrey Lijffijt

Computational methods for comparison and exploration of event sequences

Jefrey LijffijtJuho Rousu

2012

CEECing the baseline: lexical stability and significant change in a historical corpus

Jefrey LijffijtTanja SailyTerttu Nevalainen

Dispersions and adjusted frequencies in corpora (vol 13, pg 403, 2008)

Jefrey LijffijtStefan Th. Gries

Premodifying -ing participles in the parsed BNC

Turo VartiainenJefrey Lijffijt

Size matters: finding the most informative set of window lengths

Jefrey LijffijtPanagiotis PapapetrouKai Puolamäki

2011

Analyzing word frequencies in large text corpora using inter-arrival times and bootstrapping

Jefrey LijffijtPanagiotis PapapetrouKai PuolamakiHeikki Mannila

2010

Benchmarking dynamic time warping for music retrieval

Jefrey LijffijtPanagiotis PapapetrouJaakko HollmenVassilis Athitsos

The smallest set of constraints that explains the data: a randomization approach

Jefrey LijffijtPanagiotis PapapetrouNiko VuokkoKai Puolamaki

Tracking your steps on the track: body sensor recordings of a controlled walking experiment

Jefrey LijffijtPanagiotis PapapetrouJaakko Hollmen

Visually controllable data mining methods

Kai PuolamakiPanagiotis PapapetrouJefrey Lijffijt