Tijl De Bie

ORCID

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 118

Top Venues

CoRR

Data Min. Knowl. Discov.

DSAA

Mach. Learn.

Publications

Sander Noels, Sébastien Viaene, Tijl De Bie
TopoLedgerBERT: Topological Learning of Ledger Description Embeddings using Siamese BERT-Networks. CoRR (2024)
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)
Maarten Buyl, MaryBeth Defrance, Tijl De Bie
fairret: a Framework for Differentiable Fairness Regularization Terms. ICLR (2024)
Nan Li, Bo Kang, Tijl De Bie
Content-Agnostic Moderation for Stance-Neutral Recommendation. 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)
Maarten Buyl, Tijl De Bie
Inherent Limitations of AI Fairness. Commun. ACM 67 (2) (2024)
Alexander Rogiers, Maarten Buyl, Bo Kang, Tijl De Bie
KamerRaad: Enhancing Information Retrieval in Belgian National Politics through Hierarchical Summarization and Conversational Interfaces. CoRR (2024)
Yoosof Mashayekhi, Bo Kang, Jefrey Lijffijt, Tijl De Bie
Scalable Job Recommendation With Lower Congestion Using Optimal Transport. IEEE Access 12 (2024)
Arne Gevaert, Axel-Jan Rousseau, Thijs Becker, Dirk Valkenborg, Tijl De Bie, Yvan Saeys
Evaluating feature attribution methods in the image domain. Mach. Learn. 113 (9) (2024)
MaryBeth Defrance, Tijl De Bie
Maximal Fairness. CoRR (2023)
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)
Sander Noels, Simon De Ridder, Sébastien Viaene, Tijl De Bie
An efficient graph-based peer selection method for financial statements. Intell. Syst. Account. Finance Manag. 30 (3) (2023)
Raphaël Romero, Tijl De Bie, Jefrey Lijffijt
New Perspectives on the Evaluation of Link Prediction Algorithms for Dynamic Graphs. CoRR (2023)
MaryBeth Defrance, Tijl De Bie
Maximal fairness. FAccT (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)
Maarten Buyl, MaryBeth Defrance, Tijl De Bie
fairret: a Framework for Differentiable Fairness Regularization Terms. CoRR (2023)
Nan Li, Bo Kang, Tijl De Bie
LLM4Jobs: Unsupervised occupation extraction and standardization leveraging Large Language Models. CoRR (2023)
Nan Li, Bo Kang, Tijl De Bie
SkillGPT: a RESTful API service for skill extraction and standardization using a Large Language Model. CoRR (2023)
Sander Noels, Adriaan Merlevede, Andrew Fecheyr, Maarten Vanhalst, Nick Meerlaen, Sébastien Viaene, Tijl De Bie
Automated Financial Analysis Using GPT-4. ECML/PKDD (7) (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, 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)
Robin Vandaele, Bo Kang, Jefrey Lijffijt, Tijl De Bie, Yvan Saeys
Topologically Regularized Data Embeddings. ICLR (2022)
Sander Noels, Benjamin Vandermarliere, Ken Bastiaensen, Tijl De Bie
An Earth Mover's Distance Based Graph Distance Metric For Financial Statements. CIFEr (2022)
Alexandru Mara, Jefrey Lijffijt, Tijl De Bie
EvalNE: A framework for network embedding evaluation. SoftwareX 17 (2022)
Tijl De Bie, Luc De Raedt, José Hernández-Orallo, Holger H. Hoos, Padhraic Smyth, Christopher K. I. Williams
Automating data science. Commun. ACM 65 (3) (2022)
Ahmad Mel, Tijl De Bie
Mining Interesting Outlier Subgraphs in Attributed Graphs. KI (Workshops) (2022)
Maarten Buyl, Tijl De Bie
Optimal Transport of Binary Classifiers to Fairness. CoRR (2022)
Raphaël Romero, Tijl De Bie
Embedding-based next song recommendation for playlists. ESANN (2022)
Raphaël Romero, Bo Kang, Tijl De Bie
Graph-Survival: A Survival Analysis Framework for Machine Learning on Temporal Networks. CoRR (2022)
Maarten Buyl, Tijl De Bie
Inherent Limitations of AI Fairness. CoRR (2022)
Robin Vandaele, Bo Kang, Tijl De Bie, Yvan Saeys
The Curse Revisited: When are Distances Informative for the Ground Truth in Noisy High-Dimensional Data? AISTATS (2022)
Maarten Buyl, Tijl De Bie
Optimal Transport of Classifiers to Fairness. NeurIPS (2022)
Arne Gevaert, Axel-Jan Rousseau, Thijs Becker, Dirk Valkenborg, Tijl De Bie, Yvan Saeys
Evaluating Feature Attribution Methods in the Image Domain. CoRR (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)
Sander Noels, Benjamin Vandermarliere, Ken Bastiaensen, Tijl De Bie
An Earth Mover's Distance Based Graph Distance Metric For Financial Statements. CoRR (2021)
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)
Maarten Buyl, Tijl De Bie
The KL-Divergence Between a Graph Model and its Fair I-Projection as a Fairness Regularizer. ECML/PKDD (2) (2021)
Tijl De Bie, Luc De Raedt, José Hernández-Orallo, Holger H. Hoos, Padhraic Smyth, Christopher K. I. Williams
Automating Data Science: Prospects and Challenges. CoRR (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)
Maarten Buyl, Tijl De Bie
The KL-Divergence between a Graph Model and its Fair I-Projection as a Fairness Regularizer. CoRR (2021)
Robin Vandaele, Bastian Rieck, Yvan Saeys, Tijl De Bie
Stable topological signatures for metric trees through graph approximations. Pattern Recognit. Lett. 147 (2021)
Robin Vandaele, Bo Kang, Tijl De Bie, Yvan Saeys
The Curse Revisited: a Newly Quantified Concept of Meaningful Distances for Learning from High-Dimensional Noisy Data. 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)
Rafael Poyiadzi, Kacper Sokol, Raúl Santos-Rodríguez, Tijl De Bie, Peter A. Flach
FACE: Feasible and Actionable Counterfactual Explanations. AIES (2020)
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)
Maarten Buyl, Tijl De Bie
DeBayes: a Bayesian method for debiasing network embeddings. CoRR (2020)
Alexandru Mara, Yoosof Mashayekhi, Jefrey Lijffijt, Tijl De Bie
CSNE: Conditional Signed Network Embedding. CoRR (2020)
Maarten Buyl, Tijl De Bie
DeBayes: a Bayesian Method for Debiasing Network Embeddings. ICML (2020)
Ahmad Mel, Bo Kang, Jefrey Lijffijt, Tijl De Bie
FONDUE: A Framework for Node Disambiguation Using Network Embeddings. CoRR (2020)
Robin Vandaele, Yvan Saeys, Tijl De Bie
Graph Approximations to Geodesics on Metric Graphs. ICPR (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)
Robin Vandaele, Yvan Saeys, Tijl De Bie
Mining Topological Structure in Graphs through Forest Representations. J. Mach. Learn. Res. 21 (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)
Rafael Poyiadzi, Kacper Sokol, Raúl Santos-Rodriguez, Tijl De Bie, Peter A. Flach
FACE: Feasible and Actionable Counterfactual Explanations. 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)
Valerio Lorenzoni, Pieter Van den Berghe, Pieter-Jan Maes, Tijl De Bie, Dirk De Clercq, Marc Leman
Design and validation of an auditory biofeedback system for modification of running parameters. J. Multimodal User Interfaces 13 (3) (2019)
Florian Adriaens, Jefrey Lijffijt, Tijl De Bie
Subjectively interesting connecting trees and forests. Data Min. Knowl. Discov. 33 (4) (2019)
Len Vande Veire, Tijl De Bie
From raw audio to a seamless mix: creating an automated DJ system for Drum and Bass. EURASIP J. Audio Speech Music. Process. 2018 (2018)
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)
Valerio Lorenzoni, Pieter-Jan Maes, Pieter Van den Berghe, Dirk De Clercq, Tijl De Bie, Marc Leman
A biofeedback music-sonification system for gait retraining. MOCO (2018)
Bo Kang, Jefrey Lijffijt, Raúl Santos-Rodríguez, Tijl De Bie
SICA: subjectively interesting component analysis. Data Min. Knowl. Discov. 32 (4) (2018)
Robin Vandaele, Tijl De Bie, Yvan Saeys
Local Topological Data Analysis to Uncover the Global Structure of Data Approaching Graph-Structured Topologies. ECML/PKDD (2) (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)

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Publication Activity (10 Years)

Top Topics

Top Venues

Tijl De Bie