- 2027
-
PolarIs4CAUS
Nataly Pineda and Liesbeth Allein
UGent
(2027)
- 2026
-
Your next state-of-the-art could come from another domain : a cross-domain analysis of hierarchical text classification
Nan Li
UGent, Bo Kang
UGent and Tijl De Bie
UGent
(2026)
MACHINE LEARNING.
115(4).
-
Vigil: An Extensible System for Real-Time Detection and Mitigation of Cognitive Bias Triggers
Bo Kang
UGent, Sander Noels and Tijl De Bie
UGent
(2026)
Lecture Notes in Computer Science.
In Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track, Demo Track and Industrial Track
p.377-381
-
What Large Language Models Do Not Talk About: An Empirical Study of Moderation and Censorship Practices
Sander Noels
UGent, Guillaume Bied
UGent, Maarten Buyl
UGent, Alexander Rogiers, Yousra Fettach
UGent, Jefrey Lijffijt
UGent and Tijl De Bie
UGent
(2026)
MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES. RESEARCH TRACK, ECML PKDD 2025, PT I.
In Lecture Notes in Artificial Intelligence
16013.
p.265-281
-
Large language models reflect the ideology of their creators
Maarten Buyl, Alexander Rogiers, Sander Noels, Guillaume Bied
UGent, Iris Dominguez-Catena, Edith Heiter
UGent, Iman Johary
UGent, Alexandru-Cristian Mara
UGent, Raphaël Romero
UGent, Jefrey Lijffijt
UGent, et al.
(2026)
npj Artificial Intelligence.
2(1).
-
ClimateCause : complex and implicit causal structures in climate reports
Liesbeth Allein
UGent, Nataly Pineda-Castañeda, Andrea Rocci and Marie-Francine Moens
(2026)
Findings of the Association for Computational Linguistics : ACL 2026.
p.25458-25488
-
How ethos and pathos appeals resonate in reader interpretations of social media messages
Ewelina Gajewska, Katarzyna Budzynska, Jaroslaw A. Chudziak and Liesbeth Allein
UGent
(2026)
Proceedings of the 27th Annual Meeting of the Special Interest Group on Discourse and Dialogue.
p.327-341
-
Assessing LLM reasoning through implicit causal chain discovery in climate discourse
Liesbeth Allein
UGent, Nataly Pineda-Castañeda, Andrea Rocci and Marie-Francine Moens
(2026)
Proceedings of the Fifteenth Language Resources and Evaluation Conference (LREC 2026).
In LREC proceedings
p.5002-5014
-
The State-of-the-Art in Explanation Methods for Two-Dimensional Embeddings
Edith Heiter
UGent, Fuyin Lai
UGent, Cyril de Bodt, Yvan Saeys
UGent and Jefrey Lijffijt
UGent
(2026)
-
LLM Persuasiveness Evaluation: A Structured Review of Automated Methods
Kamilė Dementavičiūtė
UGent, Guillaume Bied
UGent and Tijl De Bie
UGent
(2026)
-
People Are Not Just Their Countries. Disentangling Social Determinants of LLM Value Alignment Across Europe
Maria-Louisa Wightman
UGent, Guillaume Bied
UGent and Tijl De Bie
UGent
(2026)
-
Grokipedia vs Wikipedia: An LLM-Based Audit of Political Neutrality along Ideologies
Filippos Vlahos
UGent, Guillaume Bied
UGent and Tijl De Bie
UGent
(2026)
-
Cards against LLMs : benchmarking humor alignment in large language models
Yousra Fettach
UGent, Guillaume Bied
UGent, H. Toivonen and Tijl De Bie
UGent
(2026)
Proceedings of the 2nd Workshop on Computational Humor (CHum 2026).
p.51-64
-
Building and measuring trust between large language models
Maarten Buyl
UGent, Yousra Fettach
UGent, Guillaume Bied
UGent and Tijl De Bie
UGent
(2026)
Proceedings of the Second IASEAI Conference (IASEAI’26).
2(1).
p.84-97
-
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
(2026)
MACHINE LEARNING AND DATA MINING FOR SPORTS ANALYTICS, MLSA 2025.
In Communications in Computer and Information Science
2833.
p.62-73
-
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
(2026)
IEEE TRANSACTIONS ON AFFECTIVE COMPUTING.
17(3).
p.2745-2761
-
WorkRB: A Community-Driven Evaluation Framework for AI in the Work Domain
Matthias De Lange, Warre Veys, Federico Retyk, Daniel Deniz, Warren Jouanneau, Mike Zhang, Aleksander Lukasz Bielinski, Emma Jouffroy, Nicole Clobes, Nina Baranowska, et al.
(2026)
Proceedings of the 20th ACM Conference on Recommender Systems (RecSys '26).
p.933-938
- 2025
-
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).
-
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
-
Content-agnostic moderation for stance-neutral recommendations
Nan Li
UGent, Bo Kang
UGent and Tijl De Bie
UGent
(2025)
PROCEEDINGS OF THE 34TH ACM INTERNATIONAL CONFERENCE ON INFORMATION AND KNOWLEDGE MANAGEMENT, CIKM 2025.
p.1613-1623
-
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.
-
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
-
Mimicking how humans interpret out-of-context sentences through controlled toxicity decoding
Maria Mihaela Trusca and Liesbeth Allein
UGent
(2025)
Proceedings of the 5th Workshop on Trustworthy NLP (TrustNLP 2025).
p.291-297
-
Interpretation modeling : social grounding of sentences by reasoning over their implicit moral judgments
Liesbeth Allein
UGent, Maria Mihaela Truşcǎ and Marie-Francine Moens
(2025)
ARTIFICIAL INTELLIGENCE.
338.
-
InfoClus : informative clustering of high-dimensional data embeddings
Fuyin Lai
UGent, Edith Heiter
UGent, Guillaume Bied
UGent and Jefrey Lijffijt
UGent
(2025)
arXiv.
-
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, ECML PKDD 2025, PT I.
In Lecture Notes in Computer Science
16013.
p.480-497
-
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
-
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.
-
Maximal combinations of fairness definitions
Marybeth Defrance
UGent and Tijl De Bie
UGent
(2025)
JOURNAL OF ARTIFICIAL INTELLIGENCE RESEARCH.
82.
p.1495-1579
-
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
-
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.
-
JobHop : a large-scale dataset of career trajectories
Iman Johary
UGent, Raphaël Romero
UGent, Alexandru-Cristian Mara
UGent and Tijl De Bie
UGent
(2025)
2025 IEEE INTERNATIONAL CONFERENCE ON BIG DATA, BIGDATA.
In IEEE International Conference on Big Data
p.2184-2191
-
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.
-
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)
-
Wat Vlaamse werknemers denken over AI op de werkvloer
Stijn Baert
UGent, Tijl De Bie
UGent, Eva Derous
UGent, Liam D'hert
UGent, Louis Lippens
UGent, Brecht Neyt
UGent and Amy Van Looy
UGent
(2025)
In UGent@Work Policy Briefs
- 2024
-
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
-
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
-
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
-
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).
-
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
-
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
-
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).
-
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.
-
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
-
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
-
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.
-
OrigamIM : a dataset of ambiguous sentence interpretations for social grounding and implicit language understanding
Liesbeth Allein
UGent and Marie-Francine Moens
(2024)
Proceedings of the 3rd Workshop on Perspectivist Approaches to NLP (NLPerspectives) @ LREC-COLING 2024.
In COLING ; LREC proceedings
p.116-122
-
Align MacridVAE : multimodal alignment for disentangled recommendations
Ignacio Avas, Liesbeth Allein
UGent, Katrien Laenen and Marie-Francine Moens
(2024)
ADVANCES IN INFORMATION RETRIEVAL, ECIR 2024, PT I.
In Lecture Notes in Computer Science
14608.
p.73-89
-
Cooperative scene-event modelling for acoustic scene classification
Yuanbo Hou, Bo Kang
UGent, Andrew Mitchell, Wenwu Wang, Jian Kang and Dick Botteldooren
UGent
(2024)
IEEE-ACM TRANSACTIONS ON AUDIO SPEECH AND LANGUAGE PROCESSING.
32.
p.68-82
-
Inherent limitations of AI fairness
Maarten Buyl
UGent and Tijl De Bie
UGent
(2024)
COMMUNICATIONS OF THE ACM.
67(2).
p.48-55
-
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.
-
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
-
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.
-
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
-
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
-
Persuasion with large language models : a survey
Alexander Rogiers
UGent, Sander Noels
UGent, Maarten Buyl
UGent and Tijl De Bie
UGent
(2024)
ARXIV.
-
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
-
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
-
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 (BRUSSEL).
- 2023
-
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
-
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.
-
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
-
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)
-
LLM4Jobs : unsupervised occupation extraction and standardization leveraging Large Language Models
Nan Li
UGent, Bo Kang
UGent and Tijl De Bie
UGent
(2023)
-
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
-
Topologically regularized data embeddings
Edith Heiter
UGent, Robin Vandaele, Tijl De Bie
UGent, Yvan Saeys
UGent and Jefrey Lijffijt
UGent
(2023)
arXiv.
-
Preventing profiling for ethical fake news detection
Liesbeth Allein
UGent, Marie-Francine Moens and Domenico Perrotta
(2023)
INFORMATION PROCESSING & MANAGEMENT.
60(2).
-
Implicit temporal reasoning for evidence-based fact-checking
Liesbeth Allein
UGent, Marlon Saelens, Ruben Cartuyvels and Marie-Francine Moens
(2023)
17TH CONFERENCE OF THE EUROPEAN CHAPTER OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS, EACL 2023.
p.176-189
-
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
-
Fairret : a framework for differentiable fairness regularization terms
Maarten Buyl
UGent, Marybeth Defrance
UGent and Tijl De Bie
UGent
(2023)
-
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
-
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
-
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
-
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.
-
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)
-
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.
-
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.
-
EvalNE : a framework for network embedding evaluation
Alexandru-Cristian Mara
UGent, Jefrey Lijffijt
UGent and Tijl De Bie
UGent
(2022)
SOFTWAREX.
17.
-
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.
-
When do discourse markers affect computational sentence understanding?
Ruiqi Li, Liesbeth Allein
UGent, Damien Sileo and Marie-Francine Moens
(2022)
Discourse markers in interaction : from production to comprehension.
p.159-190
-
Audio-visual scene classification via contrastive event-object alignment and semantic-based fusion
Yuanbo Hou, Bo Kang
UGent and Dick Botteldooren
UGent
(2022)
2022 IEEE 24th International Workshop on Multimedia Signal Processing (MMSP).
In IEEE International Workshop on Multimedia Signal Processing
-
Relation-guided acoustic scene classification aided with event embeddings
Yuanbo Hou, Bo Kang
UGent, Wout Van Hauwermeiren and Dick Botteldooren
UGent
(2022)
2022 International Joint Conference on Neural Networks (IJCNN).
In Proceedings of International Joint Conference on Neural Networks
-
CT-SAT : contextual transformer for sequential audio tagging
Yuanbo Hou, Zhaoyi Liu, Bo Kang
UGent, Yun Wang and Dick Botteldooren
UGent
(2022)
INTERSPEECH 2022.
p.4147-4151
-
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
-
Inherent limitations of AI fairness
Maarten Buyl
UGent and Tijl De Bie
UGent
(2022)
-
Mining interesting outlier subgraphs in attributed graphs
Arno Mel
UGent and Tijl De Bie
UGent
(2022)
KI-JP 2022 : KI 2022 Workshops, Tutorials and Doctoral Consortium.
In CEUR workshop proceedings
-
Optimal transport of classifiers to fairness
Maarten Buyl
UGent and Tijl De Bie
UGent
(2022)
Advances in Neural Information Processing Systems 35 (NeurIPS 2022).
-
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
-
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
-
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.
-
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
-
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
-
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.
-
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.
-
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
-
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).
-
FONDUE : a framework for node disambiguation and deduplication using network embeddings
Arno Mel
UGent, Bo Kang
UGent, Jefrey Lijffijt
UGent and Tijl De Bie
UGent
(2021)
APPLIED SCIENCES-BASEL.
11(21).
-
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).
-
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
-
ExClus : explainable clustering on low-dimensional data representations
Xander Vankwikelberge, Bo Kang
UGent, Edith Heiter
UGent and Jefrey Lijffijt
UGent
(2021)
-
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).
-
Time-aware evidence ranking for fact-checking
Liesbeth Allein
UGent, Isabelle Augenstein and Marie-Francine Moens
(2021)
JOURNAL OF WEB SEMANTICS.
71.
-
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.
-
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
-
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).
-
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
-
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
-
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
-
FONDUE : framework for node disambiguation using network embeddings
Arno 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
-
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
-
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
-
ALPINE : Active Link Prediction using Network Embedding
Xi Chen, Bo Kang
UGent, Jefrey Lijffijt
UGent and Tijl De Bie
UGent
(2020)
arXiv.
-
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
-
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
-
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)
-
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
-
CSNE : Conditional Signed Network Embedding
Alexandru-Cristian Mara
UGent, Yoosof Mashayekhi
UGent, Jefrey Lijffijt
UGent and Tijl De Bie
UGent
(2020)
arXiv.
-
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
-
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
-
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
-
SIAS-miner : mining subjectively interesting attributed subgraphs
Anes Bendimerad, Arno Mel
UGent, Jefrey Lijffijt
UGent, Marc Plantevit, Celine Robardet and Tijl De Bie
UGent
(2020)
DATA MINING AND KNOWLEDGE DISCOVERY.
34.
p.355-393
-
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
-
Checkworthiness in automatic claim detection models : definitions and analysis of datasets
Liesbeth Allein
UGent and Marie-Francine Moens
(2020)
DISINFORMATION IN OPEN ONLINE MEDIA, MISDOOM 2020.
In Lecture notes in computer science
12259.
p.1-17
-
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).
-
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
-
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
-
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
-
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
-
ExplaiNE : an approach for Explaining Network Embedding-based link predictions
Bo Kang
UGent, Jefrey Lijffijt
UGent and Tijl De Bie
UGent
(2019)
arXiv.
-
Conditional network embeddings
Bo Kang
UGent, Jefrey Lijffijt
UGent and Tijl De Bie
UGent
(2019)
7th International Conference on Learning Representations, ICLR 2019.
-
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.
-
SIMIT : subjectively interesting motifs in time series
Junning Deng, Jefrey Lijffijt
UGent, Bo Kang
UGent and Tijl De Bie
UGent
(2019)
ENTROPY.
21(6).
-
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)
-
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
-
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
-
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
-
Opinion dynamics with backfire effect and biased assimilation
Xi Chen, Panayiotis Tsaparas, Jefrey Lijffijt
UGent and Tijl De Bie
UGent
(2019)
-
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.
-
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.
-
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
-
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
-
Learning subjectively interesting data representations
Bo Kang
UGent
(2019)
-
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.
-
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.
-
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
-
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
-
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
-
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
-
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
-
Conditional network embeddings
Bo Kang
UGent, Jefrey Lijffijt
UGent and Tijl De Bie
UGent
(2018)
arXiv.
-
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
-
Subjectively interesting motifs in time series
Junning Deng, Jefrey Lijffijt
UGent, Bo Kang
UGent and Tijl De Bie
UGent
(2018)
ENTROPY.
p.1-17
-
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.
-
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
-
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
-
The normalized Friedkin-Johnsen model (a work-in-progress report)
Xi Chen, Jefrey Lijffijt
UGent and Tijl De Bie
UGent
(2018)
-
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
-
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.
-
Mining subjectively interesting attributed subgraphs
Anes Bendimerad, Arno 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).
-
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.
2018.
-
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
-
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
-
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.
-
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.
-
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
-
Hierarchical novelty detection
Paolo Simeone, R Santos-Rodriguez, M McVicar, Jefrey Lijffijt
UGent and Tijl De Bie
UGent
(2017)
p.310-321
-
In the eye of the beer-holder : lexical descriptors of aroma and taste sensations in beer reviews
Els Lefever
UGent, Liesbeth Allein
UGent and Gilles Jacobs
(2017)
HUSO 2017 : The Third International Conference on Human and Social Analytics.
p.25-29
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
Informative data projections : a framework and two examples
Tijl De Bie
UGent, Jefrey Lijffijt
UGent, Raul Santos-Rodriguez and Bo Kang
UGent
(2015)
ARXIV.
-
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
-
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
-
Creedo : scalable and repeatable extrinsic evaluation for pattern discovery systems by online user studies
Mario Boley, Maike Krause-Traudes, Bo Kang
UGent and Björn Jacobs
(2015)
IDEA '15 Proceedings of the ACM SIGKDD Workshop on Interactive Data Exploration and Analytics.
-
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.
-
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
- 2014
-
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
-
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
-
Mining approximate multi-relational patterns
Eirini Spyropoulou and Tijl De Bie
UGent
(2014)
International Conference on Data Science and Advanced Analytics, Proceedings.
-
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
-
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
-
Computational methods for comparison and exploration of event sequences
Jefrey Lijffijt
UGent
(2013)
205/2013.
-
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
-
One click mining: interactive local pattern discovery through implicit preference and performance learning
Mario Boley, Michael Mampaey, Bo Kang
UGent, Pavel Tokmakov and Stefan Wrobel
(2013)
IDEA '13 Proceedings of the ACM SIGKDD Workshop on Interactive Data Exploration and Analytics.
p.27-35
-
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
-
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
-
Subjectively interesting alternative clusterings
Kleanthis-Nikolaos Kontonasios and Tijl De Bie
UGent
(2013)
MACHINE LEARNING.
98(1-2).
p.31-56
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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.
-
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
-
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
-
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
-
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
-
The NETCOVER algorithm for the reconstruction of causal networks
Nick Fyson, Tijl De Bie
UGent and Nello Cristianini
(2012)
NEUROCOMPUTING.
96.
p.19-28
-
Learning to translate: a statistical and computational analysis
Marco Turchi, Tijl De Bie
UGent, Cyril Goutte and Nello Cristianini
(2012)
ADVANCES IN ARTIFICIAL INTELLIGENCE.
-
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
-
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
-
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
-
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
-
Subjectively interesting alternative clusters
Tijl De Bie
UGent
(2011)
2nd MultiClust Workshop : Discovering, Summarizing and Using Multiple Clusterings, Proceedings.
p.43-54
-
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
-
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
-
Interesting multi-relational patterns
Eirini Spyropoulou and Tijl De Bie
UGent
(2011)
11th International Conference on Data Mining, Proceedings.
p.675-684
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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.
-
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.
-
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.
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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.
-
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
-
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
-
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
-
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
-
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).
-
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
-
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
-
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
-
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
-
Deploying sdp for machine learning
Tijl De Bie
UGent
(2007)
European Symposium on Artificial Neural Networks, Proceedings.
p.205-210