| 2017 | AAAI | Initial State Prediction in Planning. | Senka Krivic, Michael Cashmore, Bram Ridder, Daniele Magazzeni, Sndor Szedmk, Justus H. Piater |
| 2017 | IJCAI | Decreasing Uncertainty in Planning with State Prediction. | Senka Krivic, Michael Cashmore, Daniele Magazzeni, Bram Ridder, Sndor Szedmk, Justus H. Piater |
| 2016 | DIS | Soft Kernel Target Alignment for Two-Stage Multiple Kernel Learning. | Huibin Shen, Sndor Szedmk, Cline Brouard, Juho Rousu |
| 2016 | IROS | Robotic playing for hierarchical complex skill learning. | Simon Hangl, Emre Ugur, Sndor Szedmk, Justus H. Piater |
| 2015 | CAIP | Can Computer Vision Problems Benefit from Structured Hierarchical Classification? | Thomas Hoyoux, Antonio Jose Rodrguez-Snchez, Justus H. Piater, Sndor Szedmk |
| 2015 | ESANN | Learning missing edges via kernels in partially-known graphs. | Senka Krivic, Sndor Szedmk, Hanchen Xiong, Justus H. Piater |
| 2015 | ICONIP | Learning to Predict Where People Look with Tensor-Based Multi-view Learning. | Kitsuchart Pasupa, Sndor Szedmk |
| 2015 | IROS | Using structural bootstrapping for object substitution in robotic executions of human-like manipulation tasks. | Alejandro Agostini, Mohamad Javad Aein, Sndor Szedmk, Eren Erdal Aksoy, Justus H. Piater, Florentin Wrgtter |
| 2015 | IROS | SCurV: A 3D descriptor for object classification. | Antonio Jose Rodrguez-Snchez, Sndor Szedmk, Justus H. Piater |
| 2014 | ACML | Towards Maximum Likelihood: Learning Undirected Graphical Models using Persistent Sequential Monte Carlo. | Hanchen Xiong, Sndor Szedmk, Justus H. Piater |
| 2014 | ESANN | Joint SVM for Accurate and Fast Image Tagging. | Hanchen Xiong, Sndor Szedmk, Justus H. Piater |
| 2014 | ICANN | Towards Sparsity and Selectivity: Bayesian Learning of Restricted Boltzmann Machine for Early Visual Features. | Hanchen Xiong, Sndor Szedmk, Antonio Jose Rodrguez-Snchez, Justus H. Piater |
| 2014 | IROS | Knowledge propagation and relation learning for predicting action effects. | Sndor Szedmk, Emre Ugur, Justus H. Piater |
| 2013 | IJCAI | Homogeneity analysis for object-action relation reasoning in kitchen scenarios. | Hanchen Xiong, Sndor Szedmk, Justus H. Piater |
| 2011 | ICTAI | Incremental Kernel Mapping Algorithms for Scalable Recommender Systems. | Mustansar Ali Ghazanfar, Sndor Szedmk, Adam Prgel-Bennett |
| 2009 | ACL | Handling phrase reorderings for machine translation. | Yizhao Ni, Craig Saunders, Sndor Szedmk, Mahesan Niranjan |
| 2009 | EAMT | Large scale maximum margin regression based, structural learning approach to phrase translations. | Sndor Szedmk, Esther Galbrun, Craig Saunders, Yizhao Ni |
| 2009 | EAMT | Large-margin structural prediction via linear programming. | Zhuoran Wang, John Shawe-Taylor, Sndor Szedmk |
| 2007 | ESANN | A metamorphosis of Canonical Correlation Analysis into multivariate maximum margin learning. | Sndor Szedmk, Tijl De Bie, David R. Hardoon |
| 2007 | NAACL | Kernel Regression Based Machine Translation. | Zhuoran Wang, John Shawe-Taylor, Sndor Szedmk |
| 2006 | ADMA | A Correlation Approach for Automatic Image Annotation. | David R. Hardoon, Craig Saunders, Sndor Szedmk, John Shawe-Taylor |
| 2006 | ESANN | Synthesis of maximum margin and multiview learning using unlabeled data. | Sndor Szedmk, John Shawe-Taylor |
| 2005 | ICML | Learning hierarchical multi-category text classification models. | Juho Rousu, Craig Saunders, Sndor Szedmk, John Shawe-Taylor |