Jacek Kustra

According to our database, Jacek Kustra authored at least 14 papers between 2013 and 2019.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2019

Visual Analytics for Classifier Construction and Evaluation for Medical Data.

Jacek Kustra, Alexandru C. Telea

Proceedings of the Data Science for Healthcare - Methodologies and Applications, 2019

Data Visualization in Clinical Practice.

Monique Hendriks, Charalampos Xanthopoulakis, Pieter C. Vos, Sergio Consoli, Jacek Kustra

Proceedings of the Data Science for Healthcare - Methodologies and Applications, 2019

Data Science in Healthcare: Benefits, Challenges and Opportunities.

Ziawasch Abedjan, Nozha Boujemaa, Stuart Campbell, Patricia Casla, Supriyo Chatterjea, Sergio Consoli, Cristóbal Costa Soria, Paul Czech, Marija Despenic, Chiara Garattini, Dirk Hamelinck, Adrienne Heinrich, Wessel Kraaij, Jacek Kustra, Aizea Lojo, Marga Martin Sanchez, Miguel Angel Mayer, Matteo Melideo, Ernestina Menasalvas, Frank Møller Aarestrup, Elvira Narro Artigot, Milan Petkovic, Diego Reforgiato Recupero, Alejandro Rodríguez González, Gisele Roesems Kerremans, Roland Roller, Mário Romão, Stefan Rüping, Felix Sasaki, Wouter Spek, Nenad Stojanovic, Jack Thoms, Andrejs Vasiljevs, Wilfried Verachtert, Roel Wuyts

Proceedings of the Data Science for Healthcare - Methodologies and Applications, 2019

2018

Improving Clinical Subjects Clustering by Learning and Optimizing Feature Weights.

Sergio Consoli, Monique Hendriks, Pieter C. Vos, Jacek Kustra, Dimitrios Mavroeidis, Ralf Hoffmann

Proceedings of the Machine Learning, Optimization, and Data Science, 2018

2017

Towards an automated method based on Iterated Local Search optimization for tuning the parameters of Support Vector Machines.

Sergio Consoli, Jacek Kustra, Pieter C. Vos, Monique Hendriks, Dimitrios Mavroeidis

CoRR, 2017

Improving Support Vector Machines Performance Using Local Search.

Sergio Consoli, Jacek Kustra, Pieter C. Vos, Monique Hendriks, Dimitrios Mavroeidis

Proceedings of the Machine Learning, Optimization, and Big Data, 2017

2016

Computing refined skeletal features from medial point clouds.

Jacek Kustra, Andrei C. Jalba, Alexandru C. Telea

Pattern Recognit. Lett., 2016

Structuring 3D Medial Skeletons: A Comparative Study.

Thomas Delamé, Jacek Kustra, Alexandru C. Telea

Proceedings of the 21st International Symposium on Vision, Modeling, and Visualization, 2016

2014

Robust Segmentation of Multiple Intersecting Manifolds from Unoriented Noisy Point Clouds.

Jacek Kustra, Andrei C. Jalba, Alexandru C. Telea

Comput. Graph. Forum, 2014

Shape Segmentation using Medial Point Clouds with Applications to Dental Cast Analysis.

Jacek Kustra, Andrei C. Jalba, Alexandru C. Telea

Proceedings of the VISAPP 2014, 2014

A medial point cloud based algorithm for dental cast segmentation.

Jacek Kustra, Marko de Jager, Andrei C. Jalba, Alexandru C. Telea

Proceedings of the IEEE International Conference on Consumer Electronics, 2014

Teeth shape modeling pipeline for oral healthcare appliances development.

Jacek Kustra, Marko de Jager, Andrei C. Jalba, Alexandru C. Telea

Proceedings of the IEEE International Conference on Consumer Electronics, 2014

2013

Surface and Curve Skeletonization of Large 3D Models on the GPU.

Andrei C. Jalba, Jacek Kustra, Alexandru C. Telea

IEEE Trans. Pattern Anal. Mach. Intell., 2013

Probabilistic View-based 3D Curve Skeleton Computation on the GPU.

Jacek Kustra, Andrei C. Jalba, Alexandru C. Telea

Proceedings of the VISAPP 2013, 2013