David Martens - Citegraph

Author Info

Name	Affiliation	Papers
DAVID MARTENS	Univ Antwerp, Fac Appl Econ, B-2020 Antwerp, Belgium	22
Collaborators	Citations	PageRank
30	66	9.52
Referers	Referees	References
219	680	317

Search Limit

100680

Publications (22 rows)

Collaborators (30 rows)

Referers (100 rows)

Referees (100 rows)

Title	Citations	PageRank	Year
Node Classification Over Bipartite Graphs Through Projection	0	0.34	2021
A Comparison Of Instance-Level Counterfactual Explanation Algorithms For Behavioral And Textual Data: Sedc, Lime-C And Shap-C	1	0.37	2020
Value-added tax fraud detection with scalable anomaly detection techniques	0	0.34	2020
Customs fraud detection: Assessing the value of behavioural and high-cardinality data under the imbalanced learning issue	1	0.36	2020
A benchmarking study of classification techniques for behavioral data	0	0.34	2020
What does your Facebook profile reveal about your creditworthiness? Using alternative data for microfinance.	1	0.35	2019
Deep Learning on Big, Sparse, Behavioral Data.	0	0.34	2019
Dance hit song prediction	4	0.43	2019
Imbalanced classification in sparse and large behaviour datasets.	3	0.38	2018
Wallenius Bayes.	0	0.34	2018
RULEM: A novel heuristic rule learning approach for ordinal classification with monotonicity constraints.	1	0.35	2017
Bankruptcy prediction for SMEs using relational data.	2	0.36	2017
Explaining Classification Models Built on High-Dimensional Sparse Data.	1	0.34	2016
Mining massive fine-grained behavior data to improve predictive analytics	0	0.34	2016
Finding Similar Mobile Consumers with a Privacy-Friendly Geosocial Design	7	0.45	2015
Including high-cardinality attributes in predictive models: A case study in churn prediction in the energy sector.	2	0.46	2015
Loyal to your city? A data mining analysis of a public service loyalty program	4	0.45	2015
Classification and Generation of Composer-Specific Music Using Global Feature Models and Variable Neighborhood Search	4	0.52	2015
Iteratively refining SVMs using priors	0	0.34	2015
Explaining Data-Driven Document Classifications.	20	1.30	2014
Corporate residence fraud detection	11	0.64	2014
Active Learning Based Rule Extraction for Regression	4	0.40	2012