Jefrey Lijffijt

SoftwareX, 2022

Introduction to the Special Section on AI in Manufacturing: Current Trends and Challenges.

[BibT_eX]

[DOI]

SIGKDD Explor., 2022

A challenge-based survey of e-recruitment recommendation systems.

[BibT_eX]

[DOI]

CoRR, 2022

Evaluating Representation Learning and Graph Layout Methods for Visualization.

[BibT_eX]

[DOI]

IEEE Computer Graphics and Applications, 2022

A Systematic Evaluation of Node Embedding Robustness.

[BibT_eX]

[DOI]

Alexandru Cristian Mara

Stephan Günnemann

Proceedings of the Learning on Graphs Conference, 2022

Topologically Regularized Data Embeddings.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Conditional t-SNE: more informative t-SNE embeddings.

[BibT_eX]

[DOI]

Dario García-García

Mach. Learn., 2021

Mining explainable local and global subgraph patterns with surprising densities.

[BibT_eX]

[DOI]

Data Min. Knowl. Discov., 2021

ExClus: Explainable Clustering on Low-dimensional Data Representations.

[BibT_eX]

[DOI]

Xander Vankwikelberge

Edith Heiter

CoRR, 2021

Explanations for Network Embedding-Based Link Predictions.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2021

Adversarial Robustness of Probabilistic Network Embedding for Link Prediction.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2021

Quantifying and Reducing Imbalance in Networks.

[BibT_eX]

[DOI]

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), Amsterdam, The Netherlands, 27th September, 2021

2020

A Constrained Randomization Approach to Interactive Visual Data Exploration with Subjective Feedback.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2020

Interactive visual data exploration with subjective feedback: an information-theoretic approach.

[BibT_eX]

[DOI]

Data Min. Knowl. Discov., 2020

SIAS-miner: mining subjectively interesting attributed subgraphs.

[BibT_eX]

[DOI]

Data Min. Knowl. Discov., 2020

Relaxing the strong triadic closure problem for edge strength inference.

[BibT_eX]

[DOI]

Data Min. Knowl. Discov., 2020

Network Representation Learning for Link Prediction: Are we improving upon simple heuristics?

[BibT_eX]

[DOI]

Alexandru Mara

CoRR, 2020

Scalable Dyadic Independence Models with Local and Global Constraints.

[BibT_eX]

[DOI]

CoRR, 2020

ALPINE: Active Link Prediction using Network Embedding.

[BibT_eX]

[DOI]

CoRR, 2020

Explainable Subgraphs with Surprising Densities: A Subgroup Discovery Approach.

[BibT_eX]

[DOI]

Proceedings of the 2020 SIAM International Conference on Data Mining, 2020

Gibbs Sampling Subjectively Interesting Tiles.

[BibT_eX]

[DOI]

Proceedings of the Advances in Intelligent Data Analysis XVIII, 2020

FONDUE: Framework for Node Disambiguation Using Network Embeddings.

[BibT_eX]

[DOI]

Proceedings of the 7th IEEE International Conference on Data Science and Advanced Analytics, 2020

Benchmarking Network Embedding Models for Link Prediction: Are We Making Progress?

[BibT_eX]

[DOI]

Alexandru Cristian Mara

Proceedings of the 7th IEEE International Conference on Data Science and Advanced Analytics, 2020

Block-Approximated Exponential Random Graphs.

[BibT_eX]

[DOI]

Proceedings of the 7th IEEE International Conference on Data Science and Advanced Analytics, 2020

CSNE: Conditional Signed Network Embedding.

[BibT_eX]

[DOI]

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019

SIMIT: Subjectively Interesting Motifs in Time Series.

[BibT_eX]

[DOI]

Entropy, 2019

Subjectively interesting connecting trees and forests.

[BibT_eX]

[DOI]

Florian Adriaens

Data Min. Knowl. Discov., 2019

Conditional t-SNE: Complementary t-SNE embeddings through factoring out prior information.

[BibT_eX]

[DOI]

Dario García-García

CoRR, 2019

Mining Subjectively Interesting Attributed Subgraphs.

[BibT_eX]

[DOI]

CoRR, 2019

ExplaiNE: An Approach for Explaining Network Embedding-based Link Predictions.

[BibT_eX]

[DOI]

CoRR, 2019

Opinion Dynamics with Backfire Effect and Biased Assimilation.

[BibT_eX]

[DOI]

CoRR, 2019

EvalNE: A Framework for Evaluating Network Embeddings on Link Prediction.

[BibT_eX]

[DOI]

Alexandru Mara

Proceedings of the 1st Workshop on Evaluation and Experimental Design in Data Mining and Machine Learning co-located with SIAM International Conference on Data Mining (SDM 2019), 2019

Contrastive Antichains in Hierarchies.

[BibT_eX]

[DOI]

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Discovering Interesting Cycles in Directed Graphs.

[BibT_eX]

[DOI]

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Conditional Network Embeddings.

[BibT_eX]

[DOI]

Proceedings of the 31st Benelux Conference on Artificial Intelligence (BNAIC 2019) and the 28th Belgian Dutch Conference on Machine Learning (Benelearn 2019), 2019

2018

SICA: subjectively interesting component analysis.

[BibT_eX]

[DOI]

Data Min. Knowl. Discov., 2018

From acquaintance to best friend forever: robust and fine-grained inference of social tie strengths.

[BibT_eX]

[DOI]

CoRR, 2018

Quantifying and Minimizing Risk of Conflict in Social Networks.

[BibT_eX]

[DOI]

Xi Chen

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Subjectively Interesting Subgroup Discovery on Real-Valued Targets.

[BibT_eX]

[DOI]

Proceedings of the 34th IEEE International Conference on Data Engineering, 2018

2017

Subjectively Interesting Connecting Trees.

[BibT_eX]

[DOI]

Florian Adriaens

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017

Hierarchical Novelty Detection.

[BibT_eX]

[DOI]

Paolo Simeone

Matt McVicar

Proceedings of the Advances in Intelligent Data Analysis XVI, 2017

2016

SuMoTED: An intuitive edit distance between rooted unordered uniquely-labelled trees.

[BibT_eX]

[DOI]

Pattern Recognit. Lett., 2016

Significance testing of word frequencies in corpora.

[BibT_eX]

[DOI]

Terttu Nevalainen

Tanja Säily

Heikki Mannila

Digit. Scholarsh. Humanit., 2016

P-N-RMiner: a generic framework for mining interesting structured relational patterns.

[BibT_eX]

[DOI]

Int. J. Data Sci. Anal., 2016

Interactive Visual Data Exploration with Subjective Feedback.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016

A Tool for Subjective and Interactive Visual Data Exploration.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016

Detecting trends in twitter time series.

[BibT_eX]

[DOI]

Cédric Mesnage

Raúl Santos-Rodriguez

Proceedings of the 26th IEEE International Workshop on Machine Learning for Signal Processing, 2016

Subjectively Interesting Component Analysis: Data Projections that Contrast with Prior Expectations.

[BibT_eX]

[DOI]

Raúl Santos-Rodriguez

Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Direct Mining of Subjectively Interesting Relational Patterns.

[BibT_eX]

[DOI]

Proceedings of the IEEE 16th International Conference on Data Mining, 2016

Informative data projections: a framework and two examples.

[BibT_eX]

[DOI]

Proceedings of the 24th European Symposium on Artificial Neural Networks, 2016

2015

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

[BibT_eX]

[DOI]

Data Min. Knowl. Discov., 2015

Supply and demand of independent UK music artists on the web.

[BibT_eX]

[DOI]

Proceedings of the ACM Web Science Conference, 2015

Interactively Exploring Supply and Demand in the UK Independent Music Scene.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2015

Covering the Egonet: A Crowdsourcing Approach to Social Circle Discovery on Twitter.

[BibT_eX]

[DOI]

Karmen Lata Dykstra

Aristides Gionis

Proceedings of the Ninth International Conference on Web and Social Media, 2015

2014

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

[BibT_eX]

[DOI]

Data Min. Knowl. Discov., 2014

2013

Computational methods for comparison and exploration of event sequences.

[BibT_eX]

[DOI]

PhD thesis, 2013

A Fast and Simple Method for Mining Subsequences with Surprising Event Counts.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013

2012

Size Matters: Finding the Most Informative Set of Window Lengths.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2012

2011

Analyzing Word Frequencies in Large Text Corpora Using Inter-arrival Times and Bootstrapping.

[BibT_eX]

[DOI]

Heikki Mannila

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2011

2010

Benchmarking dynamic time warping for music retrieval.

[BibT_eX]

[DOI]

Jaakko Hollmén

Vassilis Athitsos

Proceedings of the 3rd International Conference on Pervasive Technologies Related to Assistive Environments, 2010

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

[BibT_eX]

[DOI]

Jaakko Hollmén

Proceedings of the 3rd International Conference on Pervasive Technologies Related to Assistive Environments, 2010

Visually Controllable Data Mining Methods.

[BibT_eX]

[DOI]