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ORCIDJacek Kustra
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2020 – today
- 2024
[j4]Tim J. Schoonbeek
, Goutham Balachandran, Hans Onvlee, Tim Houben, Shao-Hsuan Hung, Jacek Kustra, Peter H. N. de With, Fons van der Sommen:
Supervised Representation Learning Towards Generalizable Assembly State Recognition. IEEE Robotics Autom. Lett. 9(11): 9915-9922 (2024)- [i3]Tim J. Schoonbeek, Goutham Balachandran, Hans Onvlee, Tim Houben, Shao-Hsuan Hung, Jacek Kustra, Peter H. N. de With, Fons van der Sommen:
Supervised Representation Learning towards Generalizable Assembly State Recognition. CoRR abs/2408.11700 (2024) - [i2]Dan Lehman, Tim J. Schoonbeek, Shao-Hsuan Hung, Jacek Kustra, Peter H. N. de With, Fons van der Sommen:
Find the Assembly Mistakes: Error Segmentation for Industrial Applications. CoRR abs/2408.12945 (2024)
2010 – 2019
- 2019
- [p3]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:
Data Science in Healthcare: Benefits, Challenges and Opportunities. Data Science for Healthcare 2019: 3-38 - [p2]Jacek Kustra, Alexandru C. Telea:
Visual Analytics for Classifier Construction and Evaluation for Medical Data. Data Science for Healthcare 2019: 267-287 - [p1]Monique Hendriks, Charalampos Xanthopoulakis, Pieter C. Vos, Sergio Consoli, Jacek Kustra:
Data Visualization in Clinical Practice. Data Science for Healthcare 2019: 289-304 - 2018
- [c7]Sergio Consoli, Monique Hendriks, Pieter C. Vos, Jacek Kustra, Dimitrios Mavroeidis, Ralf Hoffmann:
Improving Clinical Subjects Clustering by Learning and Optimizing Feature Weights. LOD 2018: 305-316 - 2017
- [c6]Sergio Consoli, Jacek Kustra, Pieter C. Vos, Monique Hendriks, Dimitrios Mavroeidis:
Improving Support Vector Machines Performance Using Local Search. MOD 2017: 16-28 - [i1]Sergio Consoli, Jacek Kustra, Pieter C. Vos, Monique Hendriks, Dimitrios Mavroeidis:
Towards an automated method based on Iterated Local Search optimization for tuning the parameters of Support Vector Machines. CoRR abs/1707.03191 (2017) - 2016
- [j3]Jacek Kustra, Andrei C. Jalba, Alexandru C. Telea:
Computing refined skeletal features from medial point clouds. Pattern Recognit. Lett. 76: 13-21 (2016) - [c5]Thomas Delamé, Jacek Kustra, Alexandru C. Telea:
Structuring 3D Medial Skeletons: A Comparative Study. VMV 2016 - 2014
- [j2]Jacek Kustra, Andrei C. Jalba, Alexandru C. Telea:
Robust Segmentation of Multiple Intersecting Manifolds from Unoriented Noisy Point Clouds. Comput. Graph. Forum 33(1): 73-87 (2014) - [c4]Jacek Kustra, Marko de Jager, Andrei C. Jalba, Alexandru C. Telea:
Teeth shape modeling pipeline for oral healthcare appliances development. ICCE 2014: 179-180 - [c3]Jacek Kustra, Marko de Jager, Andrei C. Jalba, Alexandru C. Telea:
A medial point cloud based algorithm for dental cast segmentation. ICCE 2014: 331-334 - [c2]Jacek Kustra, Andrei C. Jalba, Alexandru C. Telea:
Shape Segmentation using Medial Point Clouds with Applications to Dental Cast Analysis. VISAPP (3) 2014: 162-170 - 2013
- [j1]Andrei C. Jalba, Jacek Kustra, Alexandru C. Telea:
Surface and Curve Skeletonization of Large 3D Models on the GPU. IEEE Trans. Pattern Anal. Mach. Intell. 35(6): 1495-1508 (2013) - [c1]Jacek Kustra, Andrei C. Jalba, Alexandru C. Telea:
Probabilistic View-based 3D Curve Skeleton Computation on the GPU. VISAPP (2) 2013: 237-246
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