Academic Bibliography

2025
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SimHawNet : a modified Hawkes process for temporal network simulation Mathilde Perez, Raphaël Romero UGent, Bo Kang UGent, Tijl De Bie UGent, Jefrey Lijffijt UGent and Charlotte Laclau (2025) DATA MINING AND KNOWLEDGE DISCOVERY. 39(5).
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InfoClus : informative clustering of high-dimensional data embeddings Fuyin Lai UGent, Edith Heiter UGent, Guillaume Bied UGent and Jefrey Lijffijt UGent (2025) ArXiv.
- C1
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InfoClus : informative clustering of high-dimensional data embeddings Fuyin Lai UGent, Edith Heiter UGent, Guillaume Bied UGent and Jefrey Lijffijt UGent (2025) Machine Learning and Knowledge Discovery in Databases. Research Track : European Conference, ECML PKDD 2025, Porto, Portugal, September 15–19, 2025, Proceedings, Part I. In Lecture Notes in Computer Science 16013. p.480-497
- A1
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Incorrect interpretation of the role of COVID-19 vaccination boosters in saving lives Tijl De Bie UGent (2025) LANCET RESPIRATORY MEDICINE. 13(1). p.e4-e4
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Characterizing bird movement using spectral clustering Raphaël Romero UGent, Lucy Mitchell UGent, Frederick Verbruggen UGent, Luc Lens UGent and Jefrey Lijffijt UGent (2025) Proceedings of AALTD2025 : 10th workshop on advanced analytics and learning on temporal data.
- A1
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Maximal combinations of fairness definitions Marybeth Defrance UGent and Tijl De Bie UGent (2025) JOURNAL OF ARTIFICIAL INTELLIGENCE RESEARCH. 82. p.1495-1579
- A1
- journalArticle
LLM4Jobs : unsupervised occupation extraction and standardization leveraging large language models Nan Li UGent, Bo Kang UGent and Tijl De Bie UGent (2025) KNOWLEDGE-BASED SYSTEMS. 316.
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- conference
Content-agnostic moderation for stance-neutral recommendations Nan Li UGent, Bo Kang UGent and Tijl De Bie UGent (2025) CIKM '25 : proceedings of the 34th ACM International Conference on Information and Knowledge Management. p.1613-1623
- C1
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Building data-driven occupation taxonomies : a bottom-up multi-stage approach via semantic clustering and multi-agent collaboration Nan Li UGent, Bo Kang UGent and Tijl De Bie UGent (2025) Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing : Industry Track. p.1596-1614
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Human-AI moral judgment congruence on real-world scenarios : a cross-lingual analysis Nan Li UGent, Bo Kang UGent and Tijl De Bie UGent (2025) Proceedings of the 9th Widening NLP Workshop. p.46-49
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Temporal graph AutoEncoder : mapping dynamic graphs to dynamical systems with Neural ODEs Raphaël Romero UGent, Rembert Daems UGent and Tijl De Bie UGent (2025) NPGML Workshop, part of NeurIPS2025, the 39th Conference on Neural Information Processing Systems, Proceedings.
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ABCFair : an adaptable benchmark approach for comparing fairness methods Marybeth Defrance UGent, Maarten Buyl UGent and Tijl De Bie UGent (2025) PROCEEDINGS OF MACHINE LEARNING RESEARCH. 294. p.383-388
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Multiresolution analysis and statistical thresholding on dynamic networks Raphaël Romero UGent, Tijl De Bie UGent, N. Heard and A. Modell (2025) Advances in Neural Information Processing Systems 38 (NeurIPS 2025). In Advances in neural information processing systems 38.
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Biased heritage : how datasets shape models in facial expression recognition Iris Dominguez-Catena, Daniel Paternain, Mikel Galar, Marybeth Defrance UGent, Maarten Buyl UGent and Tijl De Bie UGent (2025)
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Next-event prediction in soccer : assessing the impact of team and player information Raphaël Romero UGent, Yoosof Mashayekhi UGent, Fuyin Lai UGent, Maaike Van Roy, Tijl De Bie UGent and Jesse Davis (2025) MLSA2025 : 12th Workshop on Machine Learning and Data Mining for Sports Analytics, Proceedings.
2024
- A1
- journalArticle
An empirical evaluation of network representation learning methods Alexandru-Cristian Mara UGent, Jefrey Lijffijt UGent and Tijl De Bie UGent (2024) BIG DATA. 12(6). p.518-537
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- journalArticle
FEIR : quantifying and reducing envy and inferiority for fair recommendation of limited resources Nan Li UGent, Bo Kang UGent, Jefrey Lijffijt UGent and Tijl De Bie UGent (2024) ACM TRANSACTIONS ON INTELLIGENT SYSTEMS AND TECHNOLOGY. 15(4). p.1-24
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Scalable job recommendation with lower congestion using optimal transport Yoosof Mashayekhi UGent, Bo Kang UGent, Jefrey Lijffijt UGent and Tijl De Bie UGent (2024) IEEE ACCESS. 12. p.55491-55505
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Exploring the performance of continuous-time dynamic link prediction algorithms Raphaël Romero UGent, Maarten Buyl UGent, Tijl De Bie UGent and Jefrey Lijffijt UGent (2024) APPLIED SCIENCES-BASEL. 14(8).
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GREASE : graph imbalance reduction by adding sets of edges Yoosof Mashayekhi UGent, Bo Kang UGent, Jefrey Lijffijt UGent and Tijl De Bie UGent (2024) IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING. 36(4). p.1611-1623
- C3
- conference
BiMi sheets for bias mitigation methods Marybeth Defrance UGent, Maarten Buyl UGent, Guillaume Bied UGent, Jefrey Lijffijt UGent and Tijl De Bie UGent (2024) BNAIC/BeNeLearn 2024, Abstracts.
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A challenge-based survey of e-recruitment recommendation systems Yoosof Mashayekhi UGent, Nan Li UGent, Bo Kang UGent, Jefrey Lijffijt UGent and Tijl De Bie UGent (2024) ACM COMPUTING SURVEYS. 56(10).
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Incorporating topological priors into low-dimensional visualizations through topological regularization Edith Heiter UGent, Robin Vandaele, Tijl De Bie UGent, Yvan Saeys UGent and Jefrey Lijffijt UGent (2024) IEEE ACCESS. 12. p.129541-129573
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Pattern or artifact? Interactively exploring embedding quality with TRACE Edith Heiter UGent, Liesbet Martens UGent, Ruth Seurinck UGent, Martin Guilliams UGent, Tijl De Bie UGent, Yvan Saeys UGent and Jefrey Lijffijt UGent (2024) MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES-RESEARCH TRACK AND DEMO TRACK, PT VIII, ECML PKDD 2024. In Lecture Notes in Computer Science 14948. p.379-382
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Large language models reflect the ideology of their creators Maarten Buyl UGent, Alexander Rogiers UGent, Sander Noels UGent, Iris Dominguez-Catena, Edith Heiter UGent, Raphaël Romero UGent, Iman Johary UGent, Alexandru-Cristian Mara UGent, Jefrey Lijffijt UGent and Tijl De Bie UGent (2024) ARXIV.
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Inherent limitations of AI fairness Maarten Buyl UGent and Tijl De Bie UGent (2024) COMMUNICATIONS OF THE ACM. 67(2). p.48-55
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fairret : a framework for differentiable fairness regularization terms Marybeth Defrance UGent, Maarten Buyl UGent and Tijl De Bie UGent (2024) EWAF24 2024 : European Workshop on Algorithmic Fairness : proceedings of the 3rd European Workshop on Algorithmic Fairness. In CEUR workshop proceedings 3908.
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ABCFair : an adaptable benchmark approach for comparing fairness methods Marybeth Defrance UGent, Maarten Buyl UGent and Tijl De Bie UGent (2024) Advances in Neural Information Processing Systems 37 (NeurIPS 2024). In Advances in neural information processing systems 37. p.40145-40163
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FAIRRET : a framework for differentiable fairness regularization terms Maarten Buyl UGent, Marybeth Defrance UGent and Tijl De Bie UGent (2024) ICLR 2024 : the Twelfth International Conference on Learning Representations, Proceedings.
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TopoLedgerBERT : topological learning of ledger description embeddings using siamese BERT-networks Sander Noels UGent, Sébastien Viaene UGent and Tijl De Bie UGent (2024) Proceedings of the Eighth Financial Technology and Natural Language Processing and the 1st Agent AI for Scenario Planning. p.63-72
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A Dutch financial large language model Sander Noels UGent, Jorne De Blaere and Tijl De Bie UGent (2024) 5TH ACM INTERNATIONAL CONFERENCE ON AI IN FINANCE, ICAIF 2024. p.283-291
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KamerRaad : enhancing information retrieval in Belgian national politics through hierarchical summarization and conversational interfaces Alexander Rogiers UGent, Maarten Buyl UGent, Bo Kang UGent and Tijl De Bie UGent (2024) MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES-RESEARCH TRACK AND DEMO TRACK, PT VIII, ECML PKDD 2024. In Lecture Notes in Computer Science 14948. p.409-412
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Persuasion with large language models : a survey Alexander Rogiers UGent, Sander Noels UGent, Maarten Buyl UGent and Tijl De Bie UGent (2024) ARXIV.
- A1
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Evaluating feature attribution methods in the image domain Arne Gevaert UGent, Axel-Jan Rousseau, Thijs Becker, Dirk Valkenborg, Tijl De Bie UGent and Yvan Saeys UGent (2024) MACHINE LEARNING. 113. p.6019-6064
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Zero-covid advocacy during the COVID-19 pandemic : a case study of views on Twitter/X Kasper P. Kepp, Kevin Bardosh, Tijl De Bie UGent, Louise Emilsson, Justin Greaves, Tea Lallukka, Taulant Muka, J. Christian Rangel, Niclas Sandstrom, Michaela C. Schippers, et al. (2024) MONASH BIOETHICS REVIEW. 42(2). p.169-199
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Gaan we als academici zomaar toekijken op de vernietiging van de universitaire gemeenschap in Palestina? Koenraad Bogaert UGent, Eva Brems UGent, Sami Zemni UGent, Nadia Fadil, Gert Van Hecken, Marleen Temmerman UGent, Marc Van Ranst, Itamar Shachar UGent, Gita Deneckere UGent, Lieven De Cauter, et al. (2024) De Morgen.
2023
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ReCon : reducing congestion in job recommendation using optimal transport Yoosof Mashayekhi UGent, Bo Kang UGent, Jefrey Lijffijt UGent and Tijl De Bie UGent (2023) Proceedings of the 17th ACM Conference on Recommender Systems (RecSys 2023). p.696-701
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FEIR : quantifying and reducing envy and inferiority for fair recommendation of limited resources Nan Li UGent, Bo Kang UGent, Jefrey Lijffijt UGent and Tijl De Bie UGent (2023) RECSYS in HR 2023 : the 3rd Workshop on Recommender Systems for Human Resources (RecSys in HR 2023), Proceedings. In CEUR workshop proceedings 3490.
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Gaussian embedding of temporal networks Raphaël Romero UGent, Jefrey Lijffijt UGent, Riccardo Rastelli, Marco Corneli and Tijl De Bie UGent (2023) IEEE ACCESS. 11. p.117971-117983
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Topologically regularized data embeddings Edith Heiter UGent, Robin Vandaele, Tijl De Bie UGent, Yvan Saeys UGent and Jefrey Lijffijt UGent (2023)
- P1
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Revised conditional t-SNE : looking beyond the nearest neighbors Edith Heiter UGent, Bo Kang UGent, Ruth Seurinck UGent and Jefrey Lijffijt UGent (2023) Advances in Intelligent Data Analysis XXI : 21st International Symposium on Intelligent Data Analysis, IDA 2023, Proceedings. In Lecture notes in computer science 13876. p.169-181
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Maximal fairness Marybeth Defrance UGent and Tijl De Bie UGent (2023) PROCEEDINGS OF THE 6TH ACM CONFERENCE ON FAIRNESS, ACCOUNTABILITY, AND TRANSPARENCY, FACCT 2023. p.851-880
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SkillGPT : a RESTful API service for skill extraction and standardization using a Large Language Model Nan Li UGent, Bo Kang UGent and Tijl De Bie UGent (2023)
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LLM4Jobs : unsupervised occupation extraction and standardization leveraging Large Language Models Nan Li UGent, Bo Kang UGent and Tijl De Bie UGent (2023)
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Fairret : a framework for differentiable fairness regularization terms Maarten Buyl UGent, Marybeth Defrance UGent and Tijl De Bie UGent (2023)
- A2
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An efficient graph-based peer selection method for financial statements Sander Noels UGent, Simon De Ridder, Sebastien Viaene and Tijl De Bie UGent (2023) INTELLIGENT SYSTEMS IN ACCOUNTING FINANCE & MANAGEMENT. 30(3). p.120-136
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Automated financial analysis using GPT-4 Sander Noels UGent, Adriaan Merlevede, Andrew Fecheyr, Maarten Vanhalst, Nick Meerlaen, Sébastien Viaene and Tijl De Bie UGent (2023) MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES : APPLIED DATA SCIENCE AND DEMO TRACK, ECML PKDD 2023, PT VII. In Lecture notes in computer science 14175. p.345-349
2022
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- journalArticle
EvalNE : a framework for network embedding evaluation Alexandru-Cristian Mara UGent, Jefrey Lijffijt UGent and Tijl De Bie UGent (2022) SOFTWAREX. 17.
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A systematic evaluation of node embedding robustness Alexandru-Cristian Mara UGent, Jefrey Lijffijt UGent, Stephan Günnemann and Tijl De Bie UGent (2022) PROCEEDINGS OF MACHINE LEARNING RESEARCH. 198.
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Evaluating representation learning and graph layout methods for visualization Edith Heiter UGent, Bo Kang UGent, Tijl De Bie UGent and Jefrey Lijffijt UGent (2022) IEEE COMPUTER GRAPHICS AND APPLICATIONS. 42(3). p.19-28
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A challenge-based survey of e-recruitment recommendation systems Yoosof Mashayekhi UGent, Nan Li UGent, Bo Kang UGent, Jefrey Lijffijt UGent and Tijl De Bie UGent (2022)
- C1
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Topologically regularized data embeddings Robin Vandaele, Bo Kang UGent, Jefrey Lijffijt UGent, Tijl De Bie UGent and Yvan Saeys UGent (2022) International Conference on Learning Representations (ICLR 2022), Proceedings.
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Inherent limitations of AI fairness Maarten Buyl UGent and Tijl De Bie UGent (2022)
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Mining interesting outlier subgraphs in attributed graphs Ahmad Mel UGent and Tijl De Bie UGent (2022) KI-JP 2022 : KI 2022 Workshops, Tutorials and Doctoral Consortium. In CEUR workshop proceedings
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Optimal transport of classifiers to fairness Maarten Buyl UGent and Tijl De Bie UGent (2022) Advances in Neural Information Processing Systems 35 (NeurIPS 2022).
- C1
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Embedding-based next song recommendation for playlists Raphaël Romero UGent and Tijl De Bie UGent (2022) ESANN 2022, 30th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, Proceedings. p.503-508
- A4
- journalArticle
Introduction to the special section on AI in manufacturing : current trends and challenges Jefrey Lijffijt UGent, Dimitra Gkorou, Pieter Van Hertum, Alexander Ypma, Mykola Pechenizkiy and Joaquin Vanschoren (2022) SIGKDD EXPLORATIONS. 24(2). p.81-85
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Graph-survival : a survival analysis framework for machine learning on temporal networks Raphaël Romero UGent, Bo Kang UGent and Tijl De Bie UGent (2022) ECML-PKDD 2022 PhD Forum, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Proceedings.
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- conference
The curse revisited : when are distances informative for the ground truth in noisy high-dimensional data? Robin Vandaele, Bo Kang UGent, Tijl De Bie UGent and Yvan Saeys UGent (2022) International Conference on Artificial Intelligence and Statistics, vol 151. In Proceedings of Machine Learning Research 151.
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An earth mover's distance based graph distance metric for financial statements Sander Noels UGent, Benjamin Vandermarliere, Ken Bastiaensen and Tijl De Bie UGent (2022) 2022 IEEE Symposium on Computational Intelligence for Financial Engineering and Economics (CIFEr). In IEEE Conference on Computational Intelligence for Financial Engineering and Economics CIFEr
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Evaluating feature attribution methods in the image domain Arne Gevaert UGent, Axel-Jan Rousseau, Thijs Becker, Dirk Valkenborg, Tijl De Bie UGent and Yvan Saeys UGent (2022) ArXiv.
- A1
- journalArticle
Automating data science Tijl De Bie UGent, Luc De Raedt, José Hernández-Orallo, Holger H. Hoos, Padhraic Smyth and Christopher K. I. Williams (2022) COMMUNICATIONS OF THE ACM. 65(3). p.76-87
2021
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Explanations for network embedding-based link predictions Bo Kang UGent, Jefrey Lijffijt UGent and Tijl De Bie UGent (2021) MACHINE LEARNING AND PRINCIPLES AND PRACTICE OF KNOWLEDGE DISCOVERY IN DATABASES, ECML PKDD 2021, PT I. In Communications in Computer and Information Science 1524. p.473-488
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Opinion dynamics with backfire effect and biased assimilation Xi Chen, Panayiotis Tsaparas, Jefrey Lijffijt UGent and Tijl De Bie UGent (2021) PLOS ONE. 16(9).
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- journalArticle
ALPINE : active link prediction using network embedding Xi Chen, Bo Kang UGent, Jefrey Lijffijt UGent and Tijl De Bie UGent (2021) APPLIED SCIENCES-BASEL. 11(11).
- A1
- journalArticle
FONDUE : a framework for node disambiguation and deduplication using network embeddings Ahmad Mel UGent, Bo Kang UGent, Jefrey Lijffijt UGent and Tijl De Bie UGent (2021) APPLIED SCIENCES-BASEL. 11(21).
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Quantifying and reducing imbalance in networks Yoosof Mashayekhi UGent, Bo Kang UGent, Jefrey Lijffijt UGent and Tijl De Bie UGent (2021) Proceedings of the Workshop on Recommender Systems for Human Resources (RecSys in HR 2021), co-located with the 15th ACM Conference on Recommender Systems (RecSys 2021). In CEUR Workshop Proceedings 2967.
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- conference
Quantifying and reducing imbalance in networks Yoosof Mashayekhi UGent, Bo Kang UGent, Jefrey Lijffijt UGent and Tijl De Bie UGent (2021) FEAST, ECML-PKDD 2021 Workshop, Proceedings.
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Adversarial robustness of probabilistic network embedding for link prediction Xi Chen, Bo Kang UGent, Jefrey Lijffijt UGent and Tijl De Bie UGent (2021) ECML PKDD 2021 Workshops, Proceedings, Part II. In Communications in Computer and Information Science 1525. p.22-38
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- journalArticle
Conditional t-SNE : more informative t-SNE embeddings Bo Kang UGent, Darío García García, Jefrey Lijffijt UGent, Raúl Santos-Rodríguez and Tijl De Bie UGent (2021) MACHINE LEARNING. 110(10). p.2905-2940
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- conference
Conditional t-SNE : more informative t-SNE embeddings Bo Kang UGent, Dario Garcia Garcia, Jefrey Lijffijt UGent, Raul Santos-Rodriguez and Tijl De Bie UGent (2021) 2021 IEEE 8TH INTERNATIONAL CONFERENCE ON DATA SCIENCE AND ADVANCED ANALYTICS (DSAA).
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ExClus : explainable clustering on low-dimensional data representations Xander Vankwikelberge, Bo Kang UGent, Edith Heiter UGent and Jefrey Lijffijt UGent (2021)
- P1
- conference
The KL-divergence between a graph model and its fair I-projection as a fairness regularizer Maarten Buyl UGent and Tijl De Bie UGent (2021) MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES, ECML PKDD 2021 : RESEARCH TRACK, PT II. In Lecture Notes in Artificial Intelligence 12976. p.351-366
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The KL-divergence between a graph model and its fair I-projection as a fairness regularizer Maarten Buyl UGent and Tijl De Bie UGent (2021) arXiv.
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- conference
Graph approximations to geodesics on metric graphs Robin Vandaele, Yvan Saeys UGent and Tijl De Bie UGent (2021) 2020 25TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION (ICPR). In International Conference on Pattern Recognition p.7328-7334
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- journalArticle
Sigmoidal NMFD : convolutional NMF with saturating activations for drum mixture decomposition Len Vande Veire, Cedric De Boom and Tijl De Bie UGent (2021) ELECTRONICS. 10(3).
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- journalArticle
Stable topological signatures for metric trees through graph approximations Robin Vandaele, Bastian Rieck, Yvan Saeys UGent and Tijl De Bie UGent (2021) PATTERN RECOGNITION LETTERS. 147. p.85-92
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Automating data science : prospects and challenges Tijl De Bie UGent, Luc De Raedt, José Hernández-Orallo, Holger H. Hoos, Padhraic Smyth and Christopher K. I. Williams (2021)
2020
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Network representation learning for link prediction : are we improving upon simple heuristics? Alexandru-Cristian Mara UGent, Jefrey Lijffijt UGent and Tijl De Bie UGent (2020)
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- conference
Benchmarking network embedding models for link prediction : are we making progress? Alexandru-Cristian Mara UGent, Jefrey Lijffijt UGent and Tijl De Bie UGent (2020) 2020 IEEE 7TH INTERNATIONAL CONFERENCE ON DATA SCIENCE AND ADVANCED ANALYTICS (DSAA 2020). In Proceedings of the International Conference on Data Science and Advanced Analytics p.138-147
- A1
- journalArticle
Mining explainable local and global subgraph patterns with surprising densities Junning Deng, Bo Kang UGent, Jefrey Lijffijt UGent and Tijl De Bie UGent (2020) DATA MINING AND KNOWLEDGE DISCOVERY. 35(1). p.321-371
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FONDUE : framework for node disambiguation using network embeddings Ahmad Mel UGent, Bo Kang UGent, Jefrey Lijffijt UGent and Tijl De Bie UGent (2020) 2020 IEEE 7TH INTERNATIONAL CONFERENCE ON DATA SCIENCE AND ADVANCED ANALYTICS (DSAA 2020). In Proceedings of the International Conference on Data Science and Advanced Analytics p.158-167
- P1
- conference
Block-approximated exponential random graphs Florian Adriaens, Alexandru-Cristian Mara UGent, Jefrey Lijffijt UGent and Tijl De Bie UGent (2020) 2020 IEEE 7TH INTERNATIONAL CONFERENCE ON DATA SCIENCE AND ADVANCED ANALYTICS (DSAA 2020). In Proceedings of the International Conference on Data Science and Advanced Analytics p.70-80
- P1
- conference
Explainable subgraphs with surprising densities : a subgroup discovery approach Junning Deng, Bo Kang UGent, Jefrey Lijffijt UGent and Tijl De Bie UGent (2020) PROCEEDINGS OF THE 2020 SIAM INTERNATIONAL CONFERENCE ON DATA MINING (SDM). p.586-594
- A1
- journalArticle
A constrained randomization approach to interactive visual data exploration with subjective feedback Bo Kang UGent, Kai Puolamäki, Jefrey Lijffijt UGent and Tijl De Bie UGent (2020) IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING. 32(9). p.1666-1679
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CSNE : Conditional Signed Network Embedding Alexandru-Cristian Mara UGent, Yoosof Mashayekhi UGent, Jefrey Lijffijt UGent and Tijl De Bie UGent (2020) arXiv.
- P1
- conference
CSNE : conditional signed network embedding Alexandru-Cristian Mara UGent, Yoosof Mashayekhi UGent, Jefrey Lijffijt UGent and Tijl De Bie UGent (2020) CIKM '20 : PROCEEDINGS OF THE 29TH ACM INTERNATIONAL CONFERENCE ON INFORMATION & KNOWLEDGE MANAGEMENT. p.1105-1114
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ALPINE : Active Link Prediction using Network Embedding Xi Chen, Bo Kang UGent, Jefrey Lijffijt UGent and Tijl De Bie UGent (2020) arXiv.
- A1
- journalArticle
Interactive visual data exploration with subjective feedback : an information-theoretic approach Kai Puolamäki, Emilia Oikarinen, Bo Kang UGent, Jefrey Lijffijt UGent and Tijl De Bie UGent (2020) DATA MINING AND KNOWLEDGE DISCOVERY. 34(1). p.21-49
- P1
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Gibbs sampling subjectively interesting tiles Anes Bendimerad, Jefrey Lijffijt UGent, Marc Plantevit, Celine Robardet and Tijl De Bie UGent (2020) ADVANCES IN INTELLIGENT DATA ANALYSIS XVIII, IDA 2020. In Lecture Notes in Computer Science 12080. p.80-92
- A1
- journalArticle
SIAS-miner : mining subjectively interesting attributed subgraphs Anes Bendimerad, Ahmad Mel UGent, Jefrey Lijffijt UGent, Marc Plantevit, Celine Robardet and Tijl De Bie UGent (2020) DATA MINING AND KNOWLEDGE DISCOVERY. 34. p.355-393
- A1
- journalArticle
Relaxing the strong triadic closure problem for edge strength inference Florian Adriaens, Tijl De Bie UGent, Aristides Gionis, Jefrey Lijffijt UGent, Antonis Matakos and Polina Rozenshtein (2020) DATA MINING AND KNOWLEDGE DISCOVERY. 34. p.611-651
- A2
- journalArticle
History of English as punctuated equilibria? A meta-analysis of the rate of linguistic change in Middle English Terttu Nevalainen, Tanja Säily, Turo Vartiainen, Aatu Liimatta and Jefrey Lijffijt UGent (2020) JOURNAL OF HISTORICAL SOCIOLINGUISTICS. 6(2).
- P1
- conference
DeBayes : a Bayesian method for debiasing network embeddings Maarten Buyl UGent and Tijl De Bie UGent (2020) INTERNATIONAL CONFERENCE ON MACHINE LEARNING, VOL 119. In Proceedings of Machine Learning Research 119. p.1220-1229
- C1
- conference
Adapted NMFD update procedure for removing double hits in drum mixture decompositions Len Vande Veire, Cedric De Boom and Tijl De Bie UGent (2020) MML2020, 13th International Workshop on Machine Learning and Music at ECML PKDD 2020, Proceedings. p.10-14
- A1
- journalArticle
Mining topological structure in graphs through forest representations Robin Vandaele, Yvan Saeys UGent and Tijl De Bie UGent (2020) JOURNAL OF MACHINE LEARNING RESEARCH. 21. p.1-68
- P1
- conference
FACE : Feasible and Actionable Counterfactual Explanations Rafael Poyiadzi, Kacper Sokol, Raul Santos-Rodriguez, Tijl De Bie UGent and Peter Flach (2020) PROCEEDINGS OF THE 3RD AAAI/ACM CONFERENCE ON AI, ETHICS, AND SOCIETY AIES 2020. p.344-350
2019
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EvalNE : a framework for evaluating network embeddings on link prediction Alexandru-Cristian Mara UGent, Jefrey Lijffijt UGent and Tijl De Bie UGent (2019) p.1-5
- A1
- journalArticle
Subjectively interesting connecting trees and forests Florian Adriaens, Jefrey Lijffijt UGent and Tijl De Bie UGent (2019) DATA MINING AND KNOWLEDGE DISCOVERY. 33(4). p.1088-1124
- C1
- conference
EvalNE : a framework for Evaluating Network Embeddings on link prediction Alexandru-Cristian Mara UGent, Jefrey Lijffijt UGent and Tijl De Bie UGent (2019) Proceedings of the 1st Workshop on Evaluation and Experimental Design in Data Mining and Machine Learning (EDML 2019) co-located with SIAM International Conference on Data Mining (SDM 2019). In CEUR workshop proceedings 2436. p.5-13
- C1
- conference
Conditional network embeddings Bo Kang UGent, Jefrey Lijffijt UGent and Tijl De Bie UGent (2019) 7th International Conference on Learning Representations, ICLR 2019.
- misc
ExplaiNE : an approach for Explaining Network Embedding-based link predictions Bo Kang UGent, Jefrey Lijffijt UGent and Tijl De Bie UGent (2019) arXiv.
- C1
- conference
Opinion dynamics with backfire effect and biased assimilation Xi Chen, Panayiotis Tsaparas, Jefrey Lijffijt UGent and Tijl De Bie UGent (2019) MVG 2019, 15th International Workshop on Mining and Learning with Graphs, Proceedings.
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- conference
Explainable subgraphs with surprising densities : a subgroup discovery approach Junning Deng, Bo Kang UGent, Jefrey Lijffijt UGent and Tijl De Bie UGent (2019) MVG 2019, 15th International Workshop on Mining and Learning with Graphs, Proceedings.
- A1
- journalArticle
SIMIT : subjectively interesting motifs in time series Junning Deng, Jefrey Lijffijt UGent, Bo Kang UGent and Tijl De Bie UGent (2019) ENTROPY. 21(6).
- misc
Opinion dynamics with backfire effect and biased assimilation Xi Chen, Panayiotis Tsaparas, Jefrey Lijffijt UGent and Tijl De Bie UGent (2019)
- P1
- conference
Discovering interesting cycles in directed graphs Florian Adriaens, Cigdem Aslay, Tijl De Bie UGent, Aristides Gionis and Jefrey Lijffijt UGent (2019) PROCEEDINGS OF THE 28TH ACM INTERNATIONAL CONFERENCE ON INFORMATION & KNOWLEDGE MANAGEMENT (CIKM '19). p.1191-1200
- P1
- conference
Contrastive antichains in hierarchies Anes Bendimerad, Jefrey Lijffijt UGent, Marc Plantevit, Celine Robardet and Tijl De Bie UGent (2019) KDD'19: PROCEEDINGS OF THE 25TH ACM SIGKDD INTERNATIONAL CONFERENCCE ON KNOWLEDGE DISCOVERY AND DATA MINING. p.294-304
- C1
- conference
Discovering interesting cycles in graphs Florian Adriaens, Cigdem Aslay, Tijl De Bie UGent, Aristides Gionis and Jefrey Lijffijt UGent (2019) MLG 2019 : 15th International Workshop on mining and learning graphs, Proceedings.
- misc
Conditional t-SNE : complementary t-SNE embeddings through factoring out prior information Bo Kang UGent, Darío García García, Jefrey Lijffijt UGent, Raúl Santos-Rodríguez and Tijl De Bie UGent (2019)
- C1
- conference
Ordinal label proportions Rafael Poyiadzi, Raúl Santos-Rodríguez and Tijl De Bie UGent (2019) Machine Learning and Knowledge Discovery in Databases. In Machine Learning and Knowledge Discovery in Databases p.306-321
- C1
- conference
Local topological data analysis to uncover the global structure of data approaching graph-structured topologies Robin Vandaele, Tijl De Bie UGent and Yvan Saeys UGent (2019) Machine learning and knowledge discovery in databases, European Conference, ECML PKDD 2018. In Lecture Notes in Computer Science 11052. p.19-36
- C1
- conference
The boundary coefficient : a vertex measure for visualizing and finding structure in weighted graphs Robin Vandaele, Yvan Saeys UGent and Tijl De Bie UGent (2019) 15th International Workshop on Mining and Learning with Graphs (MLG), Proceedings.
- C1
- conference
A CycleGAN for style transfer between drum and bass subgenres Len Vande Veire, Tijl De Bie UGent and Joni Dambre UGent (2019) ML4MD at ICML2019, Proceedings.
- A4
- journalArticle
Automating Data Science (Dagstuhl Seminar 18401) Tijl De Bie UGent, Luc De Raedt, Holger H. Hoos and Padhraic Smyth (2019) DAGSTUHL REPORTS. 8(9). p.154-181
- A1
- journalArticle
The effect of (a)synchronous music on runners‘ lower leg impact loading Valerio Lorenzoni, Tijl De Bie UGent, Thierry Marchant UGent, Edith Van Dyck UGent and Marc Leman UGent (2019) MUSICAE SCIENTIAE. 23(3). p.332-347
- A1
- journalArticle
Design and validation of an auditory biofeedback system for modification of running parameters Valerio Lorenzoni, Pieter Van den Berghe UGent, Pieter-Jan Maes UGent, Tijl De Bie UGent, Dirk De Clercq UGent and Marc Leman UGent (2019) JOURNAL ON MULTIMODAL USER INTERFACES. 13(3). p.167-180
2018
- P1
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Quantifying and minimizing risk of conflict in social networks Xi Chen, Jefrey Lijffijt UGent and Tijl De Bie UGent (2018) KDD'18: PROCEEDINGS OF THE 24TH ACM SIGKDD INTERNATIONAL CONFERENCE ON KNOWLEDGE DISCOVERY & DATA MINING. p.1197-1205
- C1
- conference
The normalized Friedkin-Johnsen model (a work-in-progress report) Xi Chen, Jefrey Lijffijt UGent and Tijl De Bie UGent (2018)
- misc
Conditional network embeddings Bo Kang UGent, Jefrey Lijffijt UGent and Tijl De Bie UGent (2018) arXiv.
- C1
- conference
Subjectively interesting motifs in time series Junning Deng, Jefrey Lijffijt UGent, Bo Kang UGent and Tijl De Bie UGent (2018) ENTROPY. p.1-17
- A1
- journalArticle
SICA : subjectively interesting component analysis Bo Kang UGent, Jefrey Lijffijt UGent, Raúl Santos-Rodríguez and Tijl De Bie UGent (2018) DATA MINING AND KNOWLEDGE DISCOVERY. 32(4). p.949-987
- P1
- conference
Interactive visual data exploration with subjective feedback : an information-theoretic approach Kai Puolamäki, Emilia Oikarinen, Bo Kang UGent, Jefrey Lijffijt UGent and Tijl De Bie UGent (2018) 2018 IEEE 34TH INTERNATIONAL CONFERENCE ON DATA ENGINEERING (ICDE). p.1208-1211
- C3
- conference
CLIPPR: Maximally Informative CLIPped PRojections with Bounding Regions Bo Kang UGent, Dylan Cashman, Remco Chang, Jefrey Lijffijt UGent and Tijl De Bie UGent (2018) Proceedings of the IEEE VIS.
- C1
- conference
From acquaintance to best friend forever : robust and fine-grained inference of social-tie strengths Florian Adriaens, Tijl De Bie UGent, Aristis Gionis, Jefrey Lijffijt UGent and Polina Rozenshtein (2018) 14th International Workshop on Mining and Learning with Graphs (KDD MLG 2018), Proceedings.
- P1
- conference
Subjectively interesting subgroup discovery on real-valued targets Jefrey Lijffijt UGent, Bo Kang UGent, Wouter Duivesteijn, Kai Puolamäki, Emilia Oikarinen and Tijl De Bie UGent (2018) 2018 IEEE 34TH INTERNATIONAL CONFERENCE ON DATA ENGINEERING (ICDE). In IEEE International Conference on Data Engineering p.1356-1359
- C1
- conference
Mining subjectively interesting attributed subgraphs Anes Bendimerad, Ahmad Mel UGent, Jefrey Lijffijt UGent, Marc Plantevit, Céline Robardet and Tijl De Bie UGent (2018) Proceedings of the 14th International Workshop on Mining and Learning with Graphs (MLG).
- A1
- journalArticle
From raw audio to a seamless mix : creating an automated DJ system for drum and bass Len Vande Veire and Tijl De Bie UGent (2018) EURASIP JOURNAL ON AUDIO SPEECH AND MUSIC PROCESSING. p.1-21
- P1
- conference
A biofeedback music-sonification system for gait retraining Valerio Lorenzoni, Pieter-Jan Maes UGent, Pieter Van den Berghe UGent, Dirk De Clercq UGent, Tijl De Bie UGent and Marc Leman UGent (2018) Proceedings of the 5th international conference on movement and computing, MOCO 2018. p.28:1-28:5
2017
- P1
- conference
Subjectively interesting connecting trees Florian Adriaens, Jefrey Lijffijt UGent and Tijl De Bie UGent (2017) Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2017, Skopje, Macedonia, September 18--22, 2017, Proceedings, Part II. In Lecture Notes in Artificial Intelligence 10535(2). p.53-69
- C1
- conference
Clipped projections for more informative visualizations [a work-in-progress report] Bo Kang UGent, Junning Deng, Jefrey Lijffijt UGent and Tijl De Bie UGent (2017) Proceedings of the ACM SIGKDD Workshop on Interactive Data Exploration and Analytics. p.48-55
- C1
- conference
Hierarchical novelty detection Paolo Simeone, R Santos-Rodriguez, M McVicar, Jefrey Lijffijt UGent and Tijl De Bie UGent (2017) p.310-321
- misc
Interactive visual data exploration with subjective feedback : an information-theoretic approach Kai Puolamäki, Emilia Oikarinen, Bo Kang UGent, Jefrey Lijffijt UGent and Tijl De Bie UGent (2017) arXiv.
- misc
Subjectively Interesting Subgroup Discovery on Real-valued Targets Jefrey Lijffijt UGent, Bo Kang UGent, Wouter Duivesteijn UGent, Kai Puolamäki, Emilia Oikarinen and Tijl De Bie UGent (2017) arXiv.
- bookChapter
A simple model for recognizing core genres in the BNC Jefrey Lijffijt UGent and Terttu Nevalainen (2017) Big and rich data in English corpus linguistics : methods and explorations. In Studies in Variation, Contacts and Change in English 19.
2016
- P1
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Direct mining of subjectively interesting relational patterns Tias Guns, Achille Aknin, Jefrey Lijffijt UGent and Tijl De Bie UGent (2016) 2016 IEEE 16TH INTERNATIONAL CONFERENCE ON DATA MINING (ICDM). In IEEE International Conference on Data Mining p.913-918
- A2
- journalArticle
P-N-RMiner : a generic framework for mining interesting structured relational patterns Jefrey Lijffijt UGent, Eirini Spyropoulou, Bo Kang UGent and Tijl De Bie UGent (2016) INTERNATIONAL JOURNAL OF DATA SCIENCE AND ANALYTICS. 1(1). p.61-76
- P1
- conference
Detecting trends in Twitter time series Tijl De Bie UGent, Jefrey Lijffijt UGent, Cedric Mesnage and Raul Santos-Rodriguez (2016) 2016 IEEE 26TH INTERNATIONAL WORKSHOP ON MACHINE LEARNING FOR SIGNAL PROCESSING (MLSP). In IEEE International Workshop on Machine Learning for Signal Processing
- C1
- conference
Informative data projections : a framework and two examples Tijl De Bie UGent, Jefrey Lijffijt UGent, Raul Santos-Rodriguez and Bo Kang UGent (2016) Proceedings of the 24th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2016). p.635-640
- P1
- conference
Subjectively interesting component analysis : data projections that contrast with prior expectations Bo Kang UGent, Jefrey Lijffijt UGent, Raúl Santos-Rodríguez and Tijl De Bie UGent (2016) KDD'16 : PROCEEDINGS OF THE 22ND ACM SIGKDD INTERNATIONAL CONFERENCE ON KNOWLEDGE DISCOVERY AND DATA MINING. p.1615-1624
- P1
- conference
A tool for subjective and interactive visual data exploration Bo Kang UGent, Kai Puolamäki, Jefrey Lijffijt UGent and Tijl De Bie UGent (2016) Lecture Notes in Artificial Intelligence. In Lecture Notes in Artificial Intelligence 9853. p.3-7
- C1
- conference
Interactive visual data exploration with subjective feedback Kai Puolamäki, Bo Kang UGent, Jefrey Lijffijt UGent and Tijl De Bie UGent (2016) European Conference, ECML PKDD 2016, Riva del Garda, Italy, September 19-23, 2016, Proceedings, Part II, Lecture Notes in Computer Science. 9852. p.214-229
- C1
- conference
SIDE : a web app for interactive visual data exploration with subjective feedback Jefrey Lijffijt UGent, Bo Kang UGent, Kai Puolamäki and Tijl De Bie UGent (2016) Proceedings of the ACM SIGKDD Workshop on Interactive Data Exploration and Analytics. p.86-95
- A1
- journalArticle
SuMoTED : an intuitive edit distance between rooted unordered uniquely-labelled trees Matt McVicar, Benjamin Sach, Cedric Mesnage, Jefrey Lijffijt UGent, Eirini Spyropoulou and Tijl De Bie UGent (2016) PATTERN RECOGNITION LETTERS. 79. p.52-59
- A1
- journalArticle
Significance testing of word frequencies in corpora Jefrey Lijffijt UGent, Terttu Nevalainen, Tanja Saily, Panagiotis Papapetrou, Kai Puolamaki and Heikki Mannila (2016) DIGITAL SCHOLARSHIP IN THE HUMANITIES. 31(2). p.374-397
- A1
- journalArticle
Subjective interestingness of subgraph patterns Matthijs van Leeuwen, Tijl De Bie UGent, Eirini Spyropoulou and Cédric Mesnage (2016) MACHINE LEARNING. 105(1). p.41-75
2015
- P1
- conference
Interactively exploring supply and demand in the UK independent music scene Matthew McVicar, Cedric Mesnage, Jefrey Lijffijt UGent and Tijl De Bie UGent (2015) Lecture Notes in Artificial Intelligence. In Lecture Notes in Artificial Intelligence 9286. p.289-292
- P1
- conference
P-N-RMiner : a generic framework for mining interesting structured relational patterns Jefrey Lijffijt UGent, Eirini Spyropoulou, Bo Kang UGent and Tijl De Bie UGent (2015) PROCEEDINGS OF THE 2015 IEEE INTERNATIONAL CONFERENCE ON DATA SCIENCE AND ADVANCED ANALYTICS (IEEE DSAA 2015). p.519-528
- misc
Informative data projections : a framework and two examples Tijl De Bie UGent, Jefrey Lijffijt UGent, Raul Santos-Rodriguez and Bo Kang UGent (2015) ARXIV.
- A1
- journalArticle
Size matters: choosing the most informative set of window lengths for mining patterns in event sequences Jefrey Lijffijt UGent, Panagiotis Papapetrou and Kai Puolamaki (2015) DATA MINING AND KNOWLEDGE DISCOVERY. 29(6). p.1838-1864
- C1
- conference
Covering the egonet: a crowdsourcing approach to social circle discovery on Twitter Karmen Dykstra, Jefrey Lijffijt UGent and Aristides Gionis (2015) Ninth International AAAI Conference on Web and Social Media.
2014
- A1
- journalArticle
A statistical significance testing approach to mining the most informative set of patterns Jefrey Lijffijt UGent, Panagiotis Papapetrou and Kai Puolamaki (2014) DATA MINING AND KNOWLEDGE DISCOVERY. 28(1). p.238-263
- C1
- conference
Formalising the subjective interestingness of a linear projection of a data set : two examples Tijl De Bie UGent (2014) Proceedings of the ACM SIGKDD Workshop on Interactive Data Exploration and Analytics. p.47-51
- C1
- conference
Mining approximate multi-relational patterns Eirini Spyropoulou and Tijl De Bie UGent (2014) International Conference on Data Science and Advanced Analytics, Proceedings.
- A1
- journalArticle
Interesting pattern mining in multi-relational data Eirini Spyropoulou, Tijl De Bie UGent and Mario Boley (2014) DATA MINING AND KNOWLEDGE DISCOVERY. 28(3). p.808-849
- A1
- journalArticle
Automatic chord estimation from audio: a review of the state of the art Matt McVicar, Raul Santos-Rodriguez, Yizhao Ni and Tijl De Bie UGent (2014) IEEE-ACM TRANSACTIONS ON AUDIO SPEECH AND LANGUAGE PROCESSING. 22(2). p.556-575
2013
- C1
- conference
A fast and simple method for mining subsequences with surprising event counts Jefrey Lijffijt UGent (2013) LECTURE NOTES IN COMPUTER SCIENCE. 8188. p.385-400
- dissertation
Computational methods for comparison and exploration of event sequences Jefrey Lijffijt UGent (2013) 205/2013.
- P1
- conference
Subjective interestingness in exploratory data mining Tijl De Bie UGent (2013) Lecture Notes in Computer Science. In Lecture Notes in Computer Science 8207. p.19-31
- C1
- conference
A theoretical framework for exploratory data mining: recent insights and challenges ahead Tijl De Bie UGent and Eirini Spyropoulou (2013) LECTURE NOTES IN COMPUTER SCIENCE. 8190. p.612-616
- misc
Guest editors' introduction: special section of selected papers from ECML-PKDD 2012 Tijl De Bie UGent and Peter A Flach (2013) DATA MINING AND KNOWLEDGE DISCOVERY. 27(3). p.442-443
- misc
Introduction: special issue of selected papers from ECML-PKDD 2012 Tijl De Bie UGent and Peter A Flach (2013) MACHINE LEARNING. 92(1). p.1-3
- A1
- journalArticle
Subjectively interesting alternative clusterings Kleanthis-Nikolaos Kontonasios and Tijl De Bie UGent (2013) MACHINE LEARNING. 98(1-2). p.31-56
- P1
- conference
Mining interesting patterns in multi-relational data with N-ary relationships Eirini Spyropoulou, Tijl De Bie UGent and Mario Boley (2013) Lecture Notes in Artificial Intelligence. In Lecture Notes in Artificial Intelligence 8140. p.217-232
- C1
- conference
Maximum entropy models for iteratively identifying subjectively interesting structure in real-valued data Kleanthis-Nikolaos Kontonasios, Jilles Vreeken and Tijl De Bie UGent (2013) LECTURE NOTES IN COMPUTER SCIENCE. 8189. p.256-271
- A1
- journalArticle
Understanding effects of subjectivity in measuring chord estimation accuracy Yizhao Ni, Matt McVicar, Raul Santos-Rodriguez and Tijl De Bie UGent (2013) IEEE TRANSACTIONS ON AUDIO SPEECH AND LANGUAGE PROCESSING. 21(12). p.2607-2615
- A1
- journalArticle
Research methods in the age of digital journalism Ilias Flaounas, Omar Ali, Thomas Lansdall-Welfare, Tijl De Bie UGent, Nick Mosdell, Justin Lewis and Nello Cristianini (2013) DIGITAL JOURNALISM. 1(1). p.102-116
2012
- misc
Dispersions and adjusted frequencies in corpora (vol 13, pg 403, 2008) Jefrey Lijffijt UGent and Stefan Th. Gries (2012) INTERNATIONAL JOURNAL OF CORPUS LINGUISTICS. 17(1). p.147-149
- P1
- conference
Premodifying -ing participles in the parsed BNC Turo Vartiainen and Jefrey Lijffijt UGent (2012) Language and Computers. In Language and Computers 75. p.247-258
- C1
- conference
Size matters: finding the most informative set of window lengths Jefrey Lijffijt UGent, Panagiotis Papapetrou and Kai Puolamäki (2012) LECTURE NOTES IN COMPUTER SCIENCE. 7524. p.451-466
- C1
- conference
CEECing the baseline: lexical stability and significant change in a historical corpus Jefrey Lijffijt UGent, Tanja Saily and Terttu Nevalainen (2012) Studies in Variation, Contacts and Change in English. 10.
- C1
- conference
CCA and a multi-way extension for investigating common components between audio, lyrics and tags Matt McVicar and Tijl De Bie UGent (2012) 9th international symposium on computational music modeling and retrieval, Proceedings. p.53-68
- C1
- conference
Formalizing complex prior information to quantify subjective interestingness of frequent pattern sets Kleanthis-Nikolaos Kontonasios and Tijl De Bie UGent (2012) Lecture Notes in Computer Science. 7619. p.161-171
- A1
- journalArticle
The NETCOVER algorithm for the reconstruction of causal networks Nick Fyson, Tijl De Bie UGent and Nello Cristianini (2012) NEUROCOMPUTING. 96. p.19-28
- A1
- journalArticle
Knowledge discovery interestingness measures based on unexpectedness Kleanthis-Nikolaos Kontonasios, Eirini Spyropoulou and Tijl De Bie UGent (2012) WILEY INTERDISCIPLINARY REVIEWS-DATA MINING AND KNOWLEDGE DISCOVERY. 2(5). p.386-399
- A2
- journalArticle
Learning to translate: a statistical and computational analysis Marco Turchi, Tijl De Bie UGent, Cyril Goutte and Nello Cristianini (2012) ADVANCES IN ARTIFICIAL INTELLIGENCE.
- C1
- conference
Using hyper-genre training to explore genre information for automatic chord estimation Yizhao Ni, Matt McVicar, Raul Santos-Rodriguez and Tijl De Bie UGent (2012) 13th International Society for Music Information Retrieval Conference, Proceedings. p.109-114
- C1
- conference
An empirical comparison of label prediction algorithms on automatically inferred networks Omar Ali, Giovanni Zappella, Tijl De Bie UGent and Nello Cristianini (2012) 1st International Conference on Pattern Recognition Applications and Methods, Proceedings. p.259-268
- A1
- journalArticle
An end-to-end machine learning system for harmonic analysis of music Yizhao Ni, Matt McVicar, Raul Santos-Rodriguez and Tijl De Bie UGent (2012) IEEE TRANSACTIONS ON AUDIO SPEECH AND LANGUAGE PROCESSING. 20(6). p.1771-1783
2011
- P1
- conference
Analyzing word frequencies in large text corpora using inter-arrival times and bootstrapping Jefrey Lijffijt UGent, Panagiotis Papapetrou, Kai Puolamaki and Heikki Mannila (2011) Lecture Notes in Artificial Intelligence. In Lecture Notes in Artificial Intelligence 6912. p.341-357
- C1
- conference
Subjectively interesting alternative clusters Tijl De Bie UGent (2011) 2nd MultiClust Workshop : Discovering, Summarizing and Using Multiple Clusterings, Proceedings. p.43-54
- C1
- conference
An information theoretic framework for data mining Tijl De Bie UGent (2011) 17th ACM SIGKDD international conference on Knowledge discovery and data mining, Proceedings. p.564-572
- A1
- journalArticle
Maximum entropy models and subjective interestingness: an application to tiles in binary databases Tijl De Bie UGent (2011) DATA MINING AND KNOWLEDGE DISCOVERY. 23(3). p.407-446
- C1
- conference
Interesting multi-relational patterns Eirini Spyropoulou and Tijl De Bie UGent (2011) 11th International Conference on Data Mining, Proceedings. p.675-684
- P1
- conference
Reconstruction of causal networks by set covering Nick Fyson, Tijl De Bie UGent and Nello Cristianini (2011) Lecture Notes in Computer Science. In Lecture Notes in Computer Science 6594. p.196-205
- C1
- conference
Maximum entropy modelling for assessing results on real-valued data Kleanthis-Nikolaos Kontonasios, Jilles Vreeken and Tijl De Bie UGent (2011) 11th International Conference on Data Mining, Proceedings. p.350-359
- C1
- conference
Mining the correlation between lyrical and audio features and the emergence of mood Matt McVicar, Tim Freeman and Tijl De Bie UGent (2011) 12th International Society for Music Information Retrieval Conference, Proceedings. p.783-788
- P1
- conference
Celebrity watch: browsing news content by exploiting social intelligence Omar Ali, Ilias Flaounas, Tijl De Bie UGent and Nello Cristianini (2011) Lecture Notes in Artificial Intelligence. In Lecture Notes in Artificial Intelligence 6913. p.613-616
- C1
- conference
Refining causality: who copied from whom? Tristan Snowsill, Nick Fyson, Tijl De Bie UGent and Nello Cristianini (2011) 17th ACM SIGKDD international conference on Knowledge discovery and data mining, Proceedings. p.466-474
- C1
- conference
Leveraging noisy online databases for use in chord recognition Matt McVicar, Yizhao Ni, Raul Santos-Rodriguez and Tijl De Bie UGent (2011) 12th International Society for Music Information Retrieval Conference, Proceedings. p.639-644
- A1
- journalArticle
Using online chord databases to ehance chord recognition Matt McVicar, Yizhao Ni, Raul Santos-Rodriguez and Tijl De Bie UGent (2011) JOURNAL OF NEW MUSIC RESEARCH. 40(2). p.139-152
- C1
- conference
NOAM: News Outlets Analysis and Monitoring System Ilias Flaounas, Omar Ali, Marco Turchi, Tristan Snowsill, Florent Nicart, Tijl De Bie UGent and Nello Cristianini (2011) 2011 ACM SIGMOD International Conference on Management of Data, Proceedings. p.1275-1277
2010
- C1
- conference
Visually controllable data mining methods Kai Puolamaki, Panagiotis Papapetrou and Jefrey Lijffijt UGent (2010) Data Mining Workshops (ICDMW), 2010 IEEE International Conference on. p.409-417
- C1
- conference
Tracking your steps on the track: body sensor recordings of a controlled walking experiment Jefrey Lijffijt UGent, Panagiotis Papapetrou and Jaakko Hollmen (2010) PETRA '10 Proceedings of the 3rd International Conference on PErvasive Technologies Related to Assistive Environments.
- C1
- conference
Benchmarking dynamic time warping for music retrieval Jefrey Lijffijt UGent, Panagiotis Papapetrou, Jaakko Hollmen and Vassilis Athitsos (2010) PETRA '10 Proceedings of the 3rd International Conference on PErvasive Technologies Related to Assistive Environments.
- misc
The smallest set of constraints that explains the data: a randomization approach Jefrey Lijffijt UGent, Panagiotis Papapetrou, Niko Vuokko and Kai Puolamaki (2010) TKK reports in information and computer science.
- C1
- conference
An information-theoretic approach to finding informative noisy tiles in binary databases Kleanthis-Nikolaos Kontonasios and Tijl De Bie UGent (2010) SIAM International Conference on Data Mining, Proceedings. p.153-164
- C1
- conference
Enhancing chord recognition accuracy using web resources Matt McVicar and Tijl De Bie UGent (2010) 3rd International Workshop on Machine Learning and Music, Proceedings. p.41-44
- P1
- conference
Flu detector: tracking epidemics on Twitter Vasileios Lampos, Tijl De Bie UGent and Nello Cristianini (2010) Lecture Notes in Artificial Intelligence. In Lecture Notes in Artificial Intelligence 6323. p.599-602
- A2
- journalArticle
A framework for mining interesting pattern sets Tijl De Bie UGent, Kleanthis-Nikolaos Kontonasios and Eirini Spyropoulou (2010) ACM SIGKDD EXPLORATIONS NEWSLETTER. 12(2). p.92-100
- P1
- conference
Detecting events in a million New York times articles Tristan Snowsill, Ilias Flaounas, Tijl De Bie UGent and Nello Cristianini (2010) Lecture Notes in Artificial Intelligence. In Lecture Notes in Artificial Intelligence 6323. p.615-618
- C1
- conference
Finding surprising patterns in textual data streams Tristan Snowsill, Florent Nicart, Marco Stefani, Tijl De Bie UGent and Nello Cristianini (2010) 2nd International Workshop on Cognitive Information Processing, Proceedings. p.405-410
- C1
- conference
Automating news content analysis: an application to gender bias and readability Omar Ali, Ilias Flaounas, Tijl De Bie UGent, Nick Mosdell, Justin Lewis and Nello Cristianini (2010) JMLR: Workshop and Conference Proceedings. 11. p.36-43
- A1
- journalArticle
The structure of the EU mediasphere Ilias Flaounas, Marco Turchi, Omar Ali, Nick Fyson, Tijl De Bie UGent, Nick Mosdell, Justin Lewis and Nello Cristianini (2010) PLOS ONE. 5(12).
2009
- P1
- conference
An intelligent agent that autonomously learns how to translate Marco Turchi, Tijl De Bie UGent and Nello Cristianini (2009) 2009 IEEE/WIC/ACM INTERNATIONAL JOINT CONFERENCES ON WEB INTELLIGENCE (WI) AND INTELLIGENT AGENT TECHNOLOGIES (IAT), VOL 2. p.12-19
- C1
- conference
Machine learning with labeled and unlabeled data Tijl De Bie UGent, Thiago Turchetti Maia and Antônio de Pádua Braga (2009) Advances in Computational Intelligence and Learning.
- P1
- conference
Inference and validation of networks Ilias N Flaounas, Marco Turchi, Tijl De Bie UGent and Nello Cristianini (2009) MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES, PT I. In Lecture Notes in Artificial Intelligence 5781. p.344-358
- P1
- conference
Found in translation Marco Turchi, Ilias Flaounas, Omar Ali, Tijl De Bie UGent, Tristan Snowsill and Nello Cristianini (2009) Lecture Notes in Artificial Intelligence. In Lecture Notes in Artificial Intelligence 5782. p.746-749
- A1
- journalArticle
The condition-dependent transcriptional network in Escherichia coli Karen Lemmens, Tijl De Bie UGent, Thomas Dhollander, Pieter Monsieurs, Bart De Moor, Julio Collado-Vides, Kristof Engelen and Kathleen Marchal UGent (2009) Annals of the New York Academy of Sciences. 1158. p.29-35
- A1
- journalArticle
ModuleDigger: an itemset mining framework for the detection of cis-regulatory modules Hong Sun, Tijl De Bie UGent, Valerie Storms, Qiang Fu, Thomas Dhollander, Karen Lemmens, Annemieke Verstuyf, Bart De Moor and Kathleen Marchal UGent (2009) BMC BIOINFORMATICS. 10(suppl. 1).
- A1
- journalArticle
DISTILLER: a data integration framework to reveal condition dependency of complex regulons in Escherichia coli Karen Lemmens, Tijl De Bie UGent, Thomas Dhollander, Sigrid CJ De Keersmaecker, Inge M Thijs, Geert Schoofs, Ami De Weerdt, Bart De Moor, Jos Vanderleyden, Julio Collado-Vides, et al. (2009) GENOME BIOLOGY. 10(3).
2008
- C1
- conference
Learning performance of a machine translation system: a statistical and computational Analysis Marco Turchi, Tijl De Bie UGent and Nello Cristianini (2008) Third Workshop on Statistical Machine Translation, Proceedings. p.35-43
- A1
- journalArticle
Magic moments for structured output prediction Elisa Ricci, Tijl De Bie UGent and Nello Cristianini (2008) JOURNAL OF MACHINE LEARNING RESEARCH. 9. p.2803-2846
- C1
- conference
Integrating microarray and proteomics data to predict the response on cetuximab in patients with rectal cancer Anneleen Daemen, Olivier Gevaert, Tijl De Bie UGent, Annelies Debucquoy, Jean-Pascal Machiels, Bart De Moor and Karin Haustermans (2008) Pacific Symposium on Biocomputing, Proceedings. p.166-177
2007
- C1
- conference
Deploying sdp for machine learning Tijl De Bie UGent (2007) European Symposium on Artificial Neural Networks, Proceedings. p.205-210
- P1
- conference
Discriminative sequence labeling by Z-score optimization Elisa Ricci, Tijl De Bie UGent and Nello Cristianini (2007) LECTURE NOTES IN ARTIFICIAL INTELLIGENCE. In LECTURE NOTES IN ARTIFICIAL INTELLIGENCE 4701. p.274-285
- C1
- conference
A metamorphosis of canonical correlation analysis into multivariate maximum margin learning Sandor Szedmak, Tijl De Bie UGent and David Hardoon (2007) European Symposium on Artificial Neural Networks, Proceedings. p.211-216
- P1
- conference
MINI: mining informative non-redundant itemsets Arianna Gallo, Tijl De Bie UGent and Nello Cristianini (2007) LECTURE NOTES IN ARTIFICIAL INTELLIGENCE. In LECTURE NOTES IN ARTIFICIAL INTELLIGENCE 4702. p.438-445
- P1
- conference
Learning to align: a statistical approach Elisa Ricci, Tijl De Bie UGent and Nello Cristianini (2007) LECTURE NOTES IN COMPUTER SCIENCE. In LECTURE NOTES IN COMPUTER SCIENCE 4723. p.25-36
- A1
- journalArticle
Modeling sequence evolution with kernel methods Margherita Bresco, Marco Turchi, Tijl De Bie UGent and Nello Cristianini (2007) COMPUTATIONAL OPTIMIZATION AND APPLICATIONS. 38(2). p.281-298
- A1
- journalArticle
Kernel-based data fusion for gene prioritization Tijl De Bie UGent, Leon-Charles Tranchevent, Liesbeth MM Van Oeffelen and Yves Moreau (2007) BIOINFORMATICS. 23(13). p.I125-I132
- bookChapter
Kernel clustering for knowledge discovery in clinical microarray data analysis Nathalie Pochet, Fabian Ojeda, Frank De Smet, Tijl De Bie UGent, Johan Suykens and Bart De Moor (2007) Kernel methods in bioengineering, signal and image processing. p.64-92
2006
- bookChapter
Semi-supervised learning using semi-definite programming Tijl De Bie UGent and Nello Cristianini (2006) Semi-supervised learning.
- A1
- journalArticle
Fast SDP relaxations of graph cut clustering, transduction, and other combinatorial problems Tijl De Bie UGent and Nello Cristianini (2006) JOURNAL OF MACHINE LEARNING RESEARCH. 7. p.1409-1436
- A2
- journalArticle
Data mining, data fusion and information management John Shawe-Taylor, Tijl De Bie UGent and Nello Cristianini (2006) INTELLIGENT TRANSPORT SYSTEMS. 153(3). p.221-229
- A1
- journalArticle
CAFE: a computational tool for the study of gene family evolution Tijl De Bie UGent, N Cristianini, JP Demuth and MW Hahn (2006) BIOINFORMATICS. 22(10). p.1269-1271
- A1
- journalArticle
The evolution of Mammalian gene families Jeffery P Demuth, Tijl De Bie UGent, Jason E Stajich, Nello Cristianini and Matthew W Hahn (2006) PLOS ONE. 1(1).
- A1
- journalArticle
The minimum volume covering ellipsoid estimation in kernel-defined feature spaces Alexander N Dolia, Tijl De Bie UGent, Chris J Harris, John Shawe-Taylor and DM Titterington (2006) LECTURE NOTES IN COMPUTER SCIENCE. 4212. p.630-637
- A1
- journalArticle
Inferring transcriptional modules from ChIP-chip, motif and microarray data Karen Lemmens, Thomas Dhollander, Tijl De Bie UGent, Pieter Monsieurs, Kristof Engelen, Bart Smets, Joris Winderickx, Bart De Moor and Kathleen Marchal UGent (2006) GENOME BIOLOGY. 7(5).
2005
- dissertation
Semi-supervised learning based on kernel methods and graph cut algorithms Tijl De Bie UGent (2005)
- misc
Artificial Intelligence Nello Cristianini and Tijl De Bie UGent (2005) Encyclopaedic Dictionary of Medical Statistics.
- misc
Data mining in medicine Nello Cristianini and Tijl De Bie UGent (2005)
- misc
Expert Systems Nello Cristianini and Tijl De Bie UGent (2005)
- misc
Machine Learning Nello Cristianini and Tijl De Bie UGent (2005)
- misc
Support Vector Machines Nello Cristianini and Tijl De Bie UGent (2005)
- misc
Neural Networks Nello Cristianini and Tijl De Bie UGent (2005)
- bookChapter
Eigenproblems in pattern recognition Tijl De Bie UGent, Nello Cristianini and Roman Rosipal (2005) Handbook of geometric computing. p.129-167
- A1
- journalArticle
Estimating the tempo and mode of gene family evolution from comparative genomic data MW Hahn, Tijl De Bie UGent, JE Stajich, C Nguyen and N Cristianini (2005) GENOME RESEARCH. 15(8). p.1153-1160
- P1
- conference
Discovering transcriptional modules from motif, chip-chip and microarray data Tijl De Bie UGent, Pieter Monsieurs, Kristof Engelen, Bart De Moor, Nello Cristianini and Kathleen Marchal UGent (2005) Pacific symposium on biocomputing 2005. p.483-494
2004
- P1
- conference
Convex methods for transduction Tijl De Bie UGent and Nello Cristianini (2004) ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS. In ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 16. p.73-80
- A1
- journalArticle
Kernel methods for exploratory pattern analysis: a demonstration on text data Tijl De Bie UGent and Nello Cristianini (2004) LECTURE NOTES IN COMPUTER SCIENCE. 3138. p.16-29
- A1
- journalArticle
Learning from general label constraints Tijl De Bie UGent, Johan Suykens and Bart De Moor (2004) LECTURE NOTES IN COMPUTER SCIENCE. 3138. p.671-679
- A1
- journalArticle
A statistical framework for genomic data fusion GRG Lanckriet, Tijl De Bie UGent, N Cristianini, MI Jordan and WS Noble (2004) BIOINFORMATICS. 20(16). p.2626-2635
2003
- C1
- conference
On the regularization of canonical correlation analysis Tijl De Bie UGent and Bart De Moor (2003) Fourth International Symposium on Independent Component Analysis and Blind Source Separation, Proceedings. p.785-790
- A1
- journalArticle
Efficiently learning the metric with side-information Tijl De Bie UGent, Michinari Momma and Nello Cristianini (2003) ALGORITHMIC LEARNING THEORY, PROCEEDINGS. 2842. p.175-189