Sandor Szedmak
Sandor Szedmak
Department of Computer Science, Aalto University
aalto.fi üzerinde doğrulanmış e-posta adresine sahip
Başlık
Alıntı yapanlar
Alıntı yapanlar
Yıl
Canonical correlation analysis: An overview with application to learning methods
DR Hardoon, S Szedmak, J Shawe-Taylor
Neural computation 16 (12), 2639-2664, 2004
28752004
Two view learning: SVM-2K, theory and practice
J Farquhar, D Hardoon, H Meng, JS Shawe-Taylor, S Szedmak
Advances in neural information processing systems, 355-362, 2006
3542006
Kernel-based learning of hierarchical multilabel classification models
J Rousu, C Saunders, S Szedmak, J Shawe-Taylor
Journal of Machine Learning Research 7, 1601-1626, 2006
3282006
The 2005 pascal visual object classes challenge
M Everingham, A Zisserman, CKI Williams, L Van Gool, M Allan, ...
Machine Learning Challenges Workshop, 117-176, 2005
3002005
Depressive symptomatology and vital exhaustion are differentially related to behavioral risk factors for coronary artery disease
MS Kopp, PRJ Falger, AD Appels, S Szedmak
Psychosomatic medicine 60 (6), 752-758, 1998
2591998
Psychosocial risk factors, inequality and self-rated morbidity in a changing society
MS Kopp, Á Skrabski, S Szedmák
Social science & medicine 51 (9), 1351-1361, 2000
2382000
Improving" bag-of-keypoints" image categorisation: Generative models and pdf-kernels
J Farquhar, S Szedmak, H Meng, J Shawe-Taylor
1612005
Learning hierarchical multi-category text classification models
J Rousu, C Saunders, S Szedmak, J Shawe-Taylor
Proceedings of the 22nd international conference on Machine learning, 744-751, 2005
1162005
Pareto-Optimal Patterns in Logical Analysis of Data
SS P.L. Hammer, A. Kogan, B. Simeone
Discrete Applied Mathematics 144 (1-2), 79-102, 2004
1042004
Socioeconomic factors, severity of depressive symptomatology, and sickness absence rate in the Hungarian population
MS Kopp, Á Skrabski, S Szedmák
Journal of Psychosomatic Research 39 (8), 1019-1029, 1995
1041995
A correlation approach for automatic image annotation
DR Hardoon, C Saunders, S Szedmak, J Shawe-Taylor
International Conference on Advanced Data Mining and Applications, 681-692, 2006
682006
Severity of allergic complaints: the importance of depressed mood
M Kovács, A Stauder, S Szedmák
Journal of psychosomatic research 54 (6), 549-557, 2003
632003
Towards structured output prediction of enzyme function
K Astikainen, L Holm, E Pitkänen, S Szedmak, J Rousu
BMC proceedings 2 (4), 1-10, 2008
592008
Kernel-mapping recommender system algorithms
MA Ghazanfar, A Prügel-Bennett, S Szedmak
Information Sciences 208, 81-104, 2012
532012
Learning via linear operators: Maximum margin regression
S Szedmak, J Shawe-Taylor
In Proceedings of 2001 IEEE International Conference on Data Mining, 2005
442005
Socioeconomic differences and psychosocial aspects of stress in a changing society
MS Kopp, S Szedmák, A Skrabski
ANNALS-NEW YORK ACADEMY OF SCIENCES 851, 538-543, 1998
381998
Learning to rank images from eye movements
K Pasupa, CJ Saunders, S Szedmak, A Klami, S Kaski, SR Gunn
2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV …, 2009
322009
Robotic playing for hierarchical complex skill learning
S Hangl, E Ugur, S Szedmak, J Piater
2016 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2016
302016
Multiclass learning at one-class complexity
S Szedmak, J Shawe-Taylor
Electronics and Computer Science, 2005
302005
A depressziós tünetegyüttes gyakorisága és egészségügyi jelentősége a magyar lakosság körében
M Kopp, S Szedmák, J Lőke, Á Skrabski
Lege Artis Med 3, 136-44, 1997
301997
Sistem, işlemi şu anda gerçekleştiremiyor. Daha sonra yeniden deneyin.
Makaleler 1–20