Seuraa
Laura Antanas
Laura Antanas
Vahvistettu sähköpostiosoite verkkotunnuksessa cs.kuleuven.be
Nimike
Viittaukset
Viittaukset
Vuosi
Semantic and geometric reasoning for robotic grasping: a probabilistic logic approach
L Antanas, P Moreno, M Neumann, RP de Figueiredo, K Kersting, ...
Autonomous Robots 43, 1393-1418, 2019
472019
CHARISMA: An integrated approach to automatic H&E-stained skeletal muscle cell segmentation using supervised learning and novel robust clump splitting
T Janssens, L Antanas, S Derde, I Vanhorebeek, G Van den Berghe, ...
Medical image analysis 17 (8), 1206-1219, 2013
452013
Graph kernels for object category prediction in task-dependent robot grasping
M Neumann, P Moreno, L Antanas, R Garnett, K Kersting
Online proceedings of the eleventh workshop on mining and learning with …, 2013
412013
A relational kernel-based framework for hierarchical image understanding
L Antanas, P Frasconi, F Costa, T Tuytelaars, L De Raedt
Structural, Syntactic, and Statistical Pattern Recognition: Joint IAPR …, 2012
162012
Rule-based hand posture recognition using qualitative finger configurations acquired with the kinect
L Billiet, J Oramas, ME Hoffmann, W Meert, L Antanas
International Conference on Pattern Recognition Applications and Methods 2 …, 2013
152013
A relational kernel-based approach to scene classification
L Antanas, ME Hoffmann, P Frasconi, T Tuytelaars, L De Raedt
2013 IEEE Workshop on Applications of Computer Vision (WACV), 133-139, 2013
132013
A Relational Distance-based Framework for Hierarchical Image Understanding.
L Antanas, M van Otterlo, J Oramas, T Tuytelaars, L De Raedt
ICPRAM (2), 206-218, 2012
132012
There are plenty of places like home: Using relational representations in hierarchies for distance-based image understanding
L Antanas, M Van Otterlo, JO Mogrovejo, T Tuytelaars, L De Raedt
Neurocomputing 123, 75-85, 2014
112014
High-level reasoning and low-level learning for grasping: A probabilistic logic pipeline
L Antanas, P Moreno, M Neumann, RP de Figueiredo, K Kersting, ...
arXiv preprint arXiv:1411.1108, 2014
92014
An interactive learning approach to histology image segmentation
M Derde, L Antanas, L De Raedt, F Guiza Grandas
Proceedings of the 24th Benelux Conference on Artificial Intelligence, 1-8, 2012
92012
Opening doors: An initial SRL approach
B Moldovan, L Antanas, ME Hoffmann
Inductive Logic Programming: 22nd International Conference, ILP 2012 …, 2013
72013
Probabilistic logical sequence learning for video
L Antanas, I Thon, M van Otterlo, N Landwehr, L De Raedt
Online proceedings of the International Conference on Inductive Logic …, 2009
72009
Relational kernel-based grasping with numerical features
L Antanas, P Moreno, L De Raedt
Inductive Logic Programming: 25th International Conference, ILP 2015, Kyoto …, 2016
52016
Relational symbol grounding through affordance learning: An overview of the reground project
L Antanas, OA Can, J Davis, L De Raedt, A Loutfi, A Persson, A Saffiotti, ...
Proceedings of the First International Workshop on Grounding Language …, 2017
42017
Relational affordance learning for task-dependent robot grasping
L Antanas, A Dries, P Moreno, L De Raedt
Inductive Logic Programming: 27th International Conference, ILP 2017 …, 2018
32018
Combining video and sequential statistical relational techniques to monitor card games
L Antanas, B Gutmann, I Thon, K Kersting, L De Raedt
ICML Workshop on Machine Learning and Games, 2010
32010
Intra-patient non-rigid registration of 3D vascular cerebral images
D Robben, D Smeets, D Ruijters, ME Hoffmann, L Antanas, F Maes, ...
Clinical Image-Based Procedures. From Planning to Intervention …, 2013
22013
Employing logical languages for image understanding
L Antanas, P Frasconi, T Tuytelaars, L De Raedt
IEEE Workshop on Kernels and Distances for Computer Vision (ICCV-2011), 2011
22011
Not far away from home: A relational distance-based approach to understanding images of houses
L Antanas, M van Otterlo, J Oramas M, T Tuytelaars, L De Raedt
Inductive Logic Programming: 20th International Conference, ILP 2010 …, 2011
22011
Learning probabilistic relational models from sequential video data with applications in table-top and card games
L Antanas, M van Otterlo, L De Raedt, I Thon
Proceedings of the Annual Belgian-Dutch Conference on Machine Learning, 105-106, 2009
12009
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Artikkelit 1–20