Jefrey Lijffijt

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 80

Top Topics

Link Prediction

Discovering Interesting

Top Venues

Data Min. Knowl. Discov.

Publications

Raphaël Romero, Jefrey Lijffijt, Riccardo Rastelli, Marco Corneli, Tijl De Bie
Gaussian Embedding of Temporal Networks. CoRR (2024)
Raphaël Romero, Maarten Buyl, Tijl De Bie, Jefrey Lijffijt
Exploring the Performance of Continuous-Time Dynamic Link Prediction Algorithms. CoRR (2024)
Edith Heiter, Liesbet Martens, Ruth Seurinck, Martin Guilliams, Tijl De Bie, Yvan Saeys, Jefrey Lijffijt
Pattern or Artifact? Interactively Exploring Embedding Quality with TRACE. CoRR (2024)
Yoosof Mashayekhi, Nan Li, Bo Kang, Jefrey Lijffijt, Tijl De Bie
A Challenge-based Survey of E-recruitment Recommendation Systems. ACM Comput. Surv. 56 (10) (2024)
Yoosof Mashayekhi, Bo Kang, Jefrey Lijffijt, Tijl De Bie
GREASE: Graph Imbalance Reduction by Adding Sets of Edges. IEEE Trans. Knowl. Data Eng. 36 (4) (2024)
Yoosof Mashayekhi, Bo Kang, Jefrey Lijffijt, Tijl De Bie
Scalable Job Recommendation With Lower Congestion Using Optimal Transport. IEEE Access 12 (2024)
Yoosof Mashayekhi, Bo Kang, Jefrey Lijffijt, Tijl De Bie
ReCon: Reducing Congestion in Job Recommendation using Optimal Transport. CoRR (2023)
Yoosof Mashayekhi, Bo Kang, Jefrey Lijffijt, Tijl De Bie
ReCon: Reducing Congestion in Job Recommendation using Optimal Transport. RecSys (2023)
Raphaël Romero, Tijl De Bie, Jefrey Lijffijt
New Perspectives on the Evaluation of Link Prediction Algorithms for Dynamic Graphs. CoRR (2023)
Nan Li, Bo Kang, Jefrey Lijffijt, Tijl De Bie
FEIR: Quantifying and Reducing Envy and Inferiority for Fair Recommendation of Limited Resources. HR@RecSys (2023)
Edith Heiter, Bo Kang, Ruth Seurinck, Jefrey Lijffijt
Revised Conditional t-SNE: Looking Beyond the Nearest Neighbors. IDA (2023)
Nan Li, Bo Kang, Jefrey Lijffijt, Tijl De Bie
FEIR: Quantifying and Reducing Envy and Inferiority for Fair Recommendation of Limited Resources. CoRR (2023)
Raphaël Romero, Jefrey Lijffijt, Riccardo Rastelli, Marco Corneli, Tijl De Bie
Gaussian Embedding of Temporal Networks. IEEE Access 11 (2023)
Edith Heiter, Robin Vandaele, Tijl De Bie, Yvan Saeys, Jefrey Lijffijt
Topologically Regularized Data Embeddings. CoRR (2023)
Edith Heiter, Bo Kang, Ruth Seurinck, Jefrey Lijffijt
Revised Conditional t-SNE: Looking Beyond the Nearest Neighbors. CoRR (2023)
Edith Heiter, Bo Kang, Tijl De Bie, Jefrey Lijffijt
Evaluating Representation Learning and Graph Layout Methods for Visualization. IEEE Computer Graphics and Applications 42 (3) (2022)
Alexandru Mara, Jefrey Lijffijt, Stephan Günnemann, Tijl De Bie
A Systematic Evaluation of Node Embedding Robustness. CoRR (2022)
Jefrey Lijffijt, Dimitra Gkorou, Pieter Van Hertum, Alexander Ypma, Mykola Pechenizkiy, Joaquin Vanschoren
Introduction to the Special Section on AI in Manufacturing: Current Trends and Challenges. SIGKDD Explor. 24 (2) (2022)
Robin Vandaele, Bo Kang, Jefrey Lijffijt, Tijl De Bie, Yvan Saeys
Topologically Regularized Data Embeddings. ICLR (2022)
Alexandru Mara, Jefrey Lijffijt, Tijl De Bie
EvalNE: A framework for network embedding evaluation. SoftwareX 17 (2022)
Alexandru Cristian Mara, Jefrey Lijffijt, Stephan Günnemann, Tijl De Bie
A Systematic Evaluation of Node Embedding Robustness. LoG (2022)
Yoosof Mashayekhi, Nan Li, Bo Kang, Jefrey Lijffijt, Tijl De Bie
A challenge-based survey of e-recruitment recommendation systems. CoRR (2022)
Robin Vandaele, Bo Kang, Jefrey Lijffijt, Tijl De Bie, Yvan Saeys
Topologically Regularized Data Embeddings. CoRR (2021)
Bo Kang, Jefrey Lijffijt, Tijl De Bie
Explanations for Network Embedding-Based Link Predictions. PKDD/ECML Workshops (1) (2021)
Yoosof Mashayekhi, Bo Kang, Jefrey Lijffijt, Tijl De Bie
Quantifying and Reducing Imbalance in Networks. HR@RecSys (2021)
Junning Deng, Bo Kang, Jefrey Lijffijt, Tijl De Bie
Mining explainable local and global subgraph patterns with surprising densities. Data Min. Knowl. Discov. 35 (1) (2021)
Xi Chen, Bo Kang, Jefrey Lijffijt, Tijl De Bie
Adversarial Robustness of Probabilistic Network Embedding for Link Prediction. PKDD/ECML Workshops (2) (2021)
Xander Vankwikelberge, Bo Kang, Edith Heiter, Jefrey Lijffijt
ExClus: Explainable Clustering on Low-dimensional Data Representations. CoRR (2021)
Bo Kang, Dario García-García, Jefrey Lijffijt, Raúl Santos-Rodríguez, Tijl De Bie
Conditional t-SNE: more informative t-SNE embeddings. Mach. Learn. 110 (10) (2021)
Xi Chen, Bo Kang, Jefrey Lijffijt, Tijl De Bie
Adversarial Robustness of Probabilistic Network Embedding for Link Prediction. CoRR (2021)
Bo Kang, Dario García-García, Jefrey Lijffijt, Raúl Santos-Rodríguez, Tijl De Bie
Conditional t-SNE: More informative t-SNE embeddings. DSAA (2021)
Ahmad Mel, Bo Kang, Jefrey Lijffijt, Tijl De Bie
FONDUE: Framework for Node Disambiguation Using Network Embeddings. DSAA (2020)
Florian Adriaens, Alexandru Mara, Jefrey Lijffijt, Tijl De Bie
Block-Approximated Exponential Random Graphs. DSAA (2020)
Junning Deng, Bo Kang, Jefrey Lijffijt, Tijl De Bie
Explainable Subgraphs with Surprising Densities: A Subgroup Discovery Approach. CoRR (2020)
Alexandru Mara, Yoosof Mashayekhi, Jefrey Lijffijt, Tijl De Bie
CSNE: Conditional Signed Network Embedding. CoRR (2020)
Ahmad Mel, Bo Kang, Jefrey Lijffijt, Tijl De Bie
FONDUE: A Framework for Node Disambiguation Using Network Embeddings. CoRR (2020)
Anes Bendimerad, Jefrey Lijffijt, Marc Plantevit, Céline Robardet, Tijl De Bie
Gibbs Sampling Subjectively Interesting Tiles. IDA (2020)
Anes Bendimerad, Ahmad Mel, Jefrey Lijffijt, Marc Plantevit, Céline Robardet, Tijl De Bie
SIAS-miner: mining subjectively interesting attributed subgraphs. Data Min. Knowl. Discov. 34 (2) (2020)
Bo Kang, Kai Puolamäki, Jefrey Lijffijt, Tijl De Bie
A Constrained Randomization Approach to Interactive Visual Data Exploration with Subjective Feedback. IEEE Trans. Knowl. Data Eng. 32 (9) (2020)
Xi Chen, Bo Kang, Jefrey Lijffijt, Tijl De Bie
ALPINE: Active Link Prediction using Network Embedding. CoRR (2020)
Florian Adriaens, Alexandru Mara, Jefrey Lijffijt, Tijl De Bie
Scalable Dyadic Independence Models with Local and Global Constraints. CoRR (2020)
Kai Puolamäki, Emilia Oikarinen, Bo Kang, Jefrey Lijffijt, Tijl De Bie
Interactive visual data exploration with subjective feedback: an information-theoretic approach. Data Min. Knowl. Discov. 34 (1) (2020)
Florian Adriaens, Tijl De Bie, Aristides Gionis, Jefrey Lijffijt, Antonis Matakos, Polina Rozenshtein
Relaxing the strong triadic closure problem for edge strength inference. Data Min. Knowl. Discov. 34 (3) (2020)
Alexandru Mara, Jefrey Lijffijt, Tijl De Bie
Network Representation Learning for Link Prediction: Are we improving upon simple heuristics? CoRR (2020)
Alexandru Cristian Mara, Jefrey Lijffijt, Tijl De Bie
Benchmarking Network Embedding Models for Link Prediction: Are We Making Progress? DSAA (2020)
Alexandru Mara, Yoosof Mashayekhi, Jefrey Lijffijt, Tijl De Bie
CSNE: Conditional Signed Network Embedding. CIKM (2020)
Junning Deng, Bo Kang, Jefrey Lijffijt, Tijl De Bie
Explainable Subgraphs with Surprising Densities: A Subgroup Discovery Approach. SDM (2020)
Bo Kang, Jefrey Lijffijt, Tijl De Bie
Conditional Network Embeddings. BNAIC/BENELEARN (2019)
Bo Kang, Dario García-García, Jefrey Lijffijt, Raúl Santos-Rodríguez, Tijl De Bie
Conditional t-SNE: Complementary t-SNE embeddings through factoring out prior information. CoRR (2019)
Xi Chen, Panayiotis Tsaparas, Jefrey Lijffijt, Tijl De Bie
Opinion Dynamics with Backfire Effect and Biased Assimilation. CoRR (2019)
Florian Adriaens, Çigdem Aslay, Tijl De Bie, Aristides Gionis, Jefrey Lijffijt
Discovering Interesting Cycles in Directed Graphs. CIKM (2019)
Alexandru Mara, Jefrey Lijffijt, Tijl De Bie
EvalNE: A Framework for Evaluating Network Embeddings on Link Prediction. CoRR (2019)
Junning Deng, Jefrey Lijffijt, Bo Kang, Tijl De Bie
SIMIT: Subjectively Interesting Motifs in Time Series. Entropy 21 (6) (2019)
Alexandru Mara, Jefrey Lijffijt, Tijl De Bie
EvalNE: A Framework for Evaluating Network Embeddings on Link Prediction. RML@ICLR (2019)
Bo Kang, Jefrey Lijffijt, Tijl De Bie
ExplaiNE: An Approach for Explaining Network Embedding-based Link Predictions. CoRR (2019)
Anes Bendimerad, Jefrey Lijffijt, Marc Plantevit, Céline Robardet, Tijl De Bie
Contrastive Antichains in Hierarchies. KDD (2019)
Bo Kang, Jefrey Lijffijt, Tijl De Bie
Conditional Network Embeddings. ICLR (Poster) (2019)
Florian Adriaens, Çigdem Aslay, Tijl De Bie, Aristides Gionis, Jefrey Lijffijt
Discovering Interesting Cycles in Directed Graphs. CoRR (2019)
Alexandru Mara, Jefrey Lijffijt, Tijl De Bie
EvalNE: A Framework for Evaluating Network Embeddings on Link Prediction. EDML@SDM (2019)
Anes Bendimerad, Ahmad Mel, Jefrey Lijffijt, Marc Plantevit, Céline Robardet, Tijl De Bie
Mining Subjectively Interesting Attributed Subgraphs. CoRR (2019)
Florian Adriaens, Jefrey Lijffijt, Tijl De Bie
Subjectively interesting connecting trees and forests. Data Min. Knowl. Discov. 33 (4) (2019)
Bo Kang, Jefrey Lijffijt, Tijl De Bie
Conditional Network Embeddings. CoRR (2018)
Florian Adriaens, Tijl De Bie, Aristides Gionis, Jefrey Lijffijt, Polina Rozenshtein
From acquaintance to best friend forever: robust and fine-grained inference of social tie strengths. CoRR (2018)
Bo Kang, Jefrey Lijffijt, Raúl Santos-Rodríguez, Tijl De Bie
SICA: subjectively interesting component analysis. Data Min. Knowl. Discov. 32 (4) (2018)
Kai Puolamäki, Emilia Oikarinen, Bo Kang, Jefrey Lijffijt, Tijl De Bie
Interactive Visual Data Exploration with Subjective Feedback: An Information-Theoretic Approach. ICDE (2018)
Xi Chen, Jefrey Lijffijt, Tijl De Bie
Quantifying and Minimizing Risk of Conflict in Social Networks. KDD (2018)
Jefrey Lijffijt, Bo Kang, Wouter Duivesteijn, Kai Puolamäki, Emilia Oikarinen, Tijl De Bie
Subjectively Interesting Subgroup Discovery on Real-Valued Targets. ICDE (2018)
Jefrey Lijffijt, Bo Kang, Wouter Duivesteijn, Kai Puolamäki, Emilia Oikarinen, Tijl De Bie
Subjectively Interesting Subgroup Discovery on Real-valued Targets. CoRR (2017)
Kai Puolamäki, Emilia Oikarinen, Bo Kang, Jefrey Lijffijt, Tijl De Bie
Interactive Visual Data Exploration with Subjective Feedback: An Information-Theoretic Approach. CoRR (2017)
Florian Adriaens, Jefrey Lijffijt, Tijl De Bie
Subjectively Interesting Connecting Trees. ECML/PKDD (2) (2017)
Paolo Simeone, Raúl Santos-Rodríguez, Matt McVicar, Jefrey Lijffijt, Tijl De Bie
Hierarchical Novelty Detection. IDA (2017)
Matt McVicar, Benjamin Sach, Cédric Mesnage, Jefrey Lijffijt, Eirini Spyropoulou, Tijl De Bie
SuMoTED: An intuitive edit distance between rooted unordered uniquely-labelled trees. Pattern Recognit. Lett. 79 (2016)
Jefrey Lijffijt, Eirini Spyropoulou, Bo Kang, Tijl De Bie
P-N-RMiner: a generic framework for mining interesting structured relational patterns. Int. J. Data Sci. Anal. 1 (1) (2016)
Bo Kang, Kai Puolamäki, Jefrey Lijffijt, Tijl De Bie
A Tool for Subjective and Interactive Visual Data Exploration. ECML/PKDD (3) (2016)
Jefrey Lijffijt, Terttu Nevalainen, Tanja Säily, Panagiotis Papapetrou, Kai Puolamäki, Heikki Mannila
Significance testing of word frequencies in corpora. Digit. Scholarsh. Humanit. 31 (2) (2016)
Tijl De Bie, Jefrey Lijffijt, Cédric Mesnage, Raúl Santos-Rodriguez
Detecting trends in twitter time series. MLSP (2016)
Kai Puolamäki, Bo Kang, Jefrey Lijffijt, Tijl De Bie
Interactive Visual Data Exploration with Subjective Feedback. ECML/PKDD (2) (2016)
Tijl De Bie, Jefrey Lijffijt, Raúl Santos-Rodríguez, Bo Kang
Informative data projections: a framework and two examples. ESANN (2016)
Tias Guns, Achille Aknin, Jefrey Lijffijt, Tijl De Bie
Direct Mining of Subjectively Interesting Relational Patterns. ICDM (2016)
Bo Kang, Jefrey Lijffijt, Raúl Santos-Rodriguez, Tijl De Bie
Subjectively Interesting Component Analysis: Data Projections that Contrast with Prior Expectations. KDD (2016)
Jefrey Lijffijt, Eirini Spyropoulou, Bo Kang, Tijl De Bie
P-N-RMiner: A generic framework for mining interesting structured relational patterns. DSAA (2015)
Matt McVicar, Cédric Mesnage, Jefrey Lijffijt, Tijl De Bie
Interactively Exploring Supply and Demand in the UK Independent Music Scene. ECML/PKDD (3) (2015)
Tijl De Bie, Jefrey Lijffijt, Raúl Santos-Rodriguez, Bo Kang
Informative Data Projections: A Framework and Two Examples. CoRR (2015)
Jefrey Lijffijt, Panagiotis Papapetrou, Kai Puolamäki
Size matters: choosing the most informative set of window lengths for mining patterns in event sequences. Data Min. Knowl. Discov. 29 (6) (2015)
Karmen Lata Dykstra, Jefrey Lijffijt, Aristides Gionis
Covering the Egonet: A Crowdsourcing Approach to Social Circle Discovery on Twitter. ICWSM (2015)
Matt McVicar, Cédric Mesnage, Jefrey Lijffijt, Eirini Spyropoulou, Tijl De Bie
Supply and demand of independent UK music artists on the web. WebSci (2015)
Jefrey Lijffijt, Panagiotis Papapetrou, Kai Puolamäki
A statistical significance testing approach to mining the most informative set of patterns. Data Min. Knowl. Discov. 28 (1) (2014)
Jefrey Lijffijt
A Fast and Simple Method for Mining Subsequences with Surprising Event Counts. ECML/PKDD (1) (2013)
Jefrey Lijffijt, Panagiotis Papapetrou, Kai Puolamäki
Size Matters: Finding the Most Informative Set of Window Lengths. ECML/PKDD (2) (2012)
Jefrey Lijffijt, Panagiotis Papapetrou, Kai Puolamäki, Heikki Mannila
Analyzing Word Frequencies in Large Text Corpora Using Inter-arrival Times and Bootstrapping. ECML/PKDD (2) (2011)
Kai Puolamäki, Panagiotis Papapetrou, Jefrey Lijffijt
Visually Controllable Data Mining Methods. ICDM Workshops (2010)
Jefrey Lijffijt, Panagiotis Papapetrou, Jaakko Hollmén, Vassilis Athitsos
Benchmarking dynamic time warping for music retrieval. PETRA (2010)
Jefrey Lijffijt, Panagiotis Papapetrou, Jaakko Hollmén
Tracking your steps on the track: body sensor recordings of a controlled walking experiment. PETRA (2010)