Lehel Csató - RankMe

46 papers A* 1A 2B 9C 3Misc 5Journal 15Unranked 10

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Enhancing Group Recommendation using Soft Impute Singular Value Decomposition. CoRR Mubaraka Sani Ibrahim, Isah Charles Saidu, Lehel Csató
2025	—	`conf`	On Traffic Prediction in Backbone Networks for Adaptive Proactive Protection. RNDM Attila Dobai-Pataky, Balázs Vass, Lehel Csató
2024	J	`jnl`	Deep multiple affinity model for proposal-free single instance segmentation. Int. J. Comput. Vis. Robotics Isah Charles Saidu, Lehel Csató
2024	Misc	`conf`	Wavelet-Based Prototype Learning for Medical Image Classification. SISY Hanna-Georgina Lieb, Tamás Kaszta, Lehel Csató
2023	J	`jnl`	Evaluating cooperative-competitive dynamics with deep Q-learning. Neurocomputing Anikó Kopacz, Lehel Csató, Camelia Chira
2023	Misc	`conf`	Wavelet-Based Prototype Networks. SISY Tamás Kaszta, Hanna-Georgina Lieb, Lehel Csató
2022	—	`conf`	Applying Deep Q-learning for Multi-agent Cooperative-Competitive Environments. SOCO Anikó Kopacz, Lehel Csató, Camelia Chira
2022	—	`conf`	Neural Network Pruning based on Filter Importance Values Approximated with Monte Carlo Gradient Estimation. VISIGRAPP (5: VISAPP) Csanád Sándor, Szabolcs Pável, Lehel Csató
2022	J	`jnl`	Standardized feature extraction from pairwise conflicts applied to the train rescheduling problem. CoRR Anikó Kopacz, Ágnes Mester, Sándor Kolumbán, Lehel Csató
2021	J	`jnl`	Active Learning with Bayesian UNet for Efficient Semantic Image Segmentation. J. Imaging Isah Charles Saidu, Lehel Csató
2020	A	`conf`	Pruning CNN's with Linear Filter Ensembles. ECAI Csanád Sándor, Szabolcs Pável, Lehel Csató
2020	J	`jnl`	Pruning CNN's with linear filter ensembles. CoRR Csanád Sándor, Szabolcs Pável, Lehel Csató
2019	—	`conf`	Distortion Estimation Through Explicit Modeling of the Refractive Surface. ICANN (3) Szabolcs Pável, Csanád Sándor, Lehel Csató
2019	J	`jnl`	Distortion Estimation Through Explicit Modeling of the Refractive Surface. CoRR Szabolcs Pável, Csanád Sándor, Lehel Csató
2019	B	`conf`	Single View Distortion Correction using Semantic Guidance. IJCNN Szabolcs-Botond Lorincz, Szabolcs Pável, Lehel Csató
2019	J	`jnl`	Single View Distortion Correction using Semantic Guidance. CoRR Szabolcs-Botond Lorincz, Szabolcs Pável, Lehel Csató
2017	—	`conf`	Finding Patterns in Visualizations of Programs. PPIG Catalin F. Perticas, Bipin Indurkhya, Razvan V. Florian, Lehel Csató
2015	—	`ed.`	Central European Functional Programming School - 5th Summer School, CEFP 2013, Cluj-Napoca, Romania, July 8-20, 2013, Revised Selected Papers CEFP Viktória Zsók, Zoltán Horváth, Lehel Csató
2014	B	`conf`	Augmented hashing for semi-supervised scenarios. ESANN Zalán Bodó, Lehel Csató
2014	J	`jnl`	Indirect robot model learning for tracking control. Adv. Robotics Botond Attila Bócsi, Lehel Csató, Jan Peters
2014	J	`jnl`	Linear spectral hashing. Neurocomputing Zalán Bodó, Lehel Csató
2014	Misc	`conf`	Simulation-Extrapolation Gaussian Processes for Input Noise Modeling. SYNASC Botond Bocsi, Hunor Jakab, Lehel Csató
2013	B	`conf`	Alignment-based transfer learning for robot models. IJCNN Botond Bocsi, Lehel Csató, Jan Peters
2013	C	`conf`	Hessian Corrected Input Noise Models. ICANN Botond Attila Bócsi, Lehel Csató
2013	B	`conf`	Linear spectral hashing. ESANN Zalán Bodó, Lehel Csató
2013	C	`conf`	Novel Feature Selection and Kernel-Based Value Approximation Method for Reinforcement Learning. ICANN Hunor Sandor Jakab, Lehel Csató
2012	B	`conf`	Improving kernel locality-sensitive hashing using pre-images and bounds. IJCNN Zalán Bodó, Lehel Csató
2012	A*	`conf`	Learning tracking control with forward models. ICRA Botond Bocsi, Philipp Hennig, Lehel Csató, Jan Peters
2012	B	`conf`	Manifold-based non-parametric learning of action-value functions. ESANN Hunor Jakab, Lehel Csató
2012	B	`conf`	Reinforcement learning with guided policy search using Gaussian processes. IJCNN Hunor Jakab, Lehel Csató
2011	—	`conf`	Active Learning with Clustering. Active Learning and Experimental Design @ AISTATS Zalán Bodó, Zsolt Minier, Lehel Csató
2011	—	`conf`	Improving Gaussian Process Value Function Approximation in Policy Gradient Algorithms. ICANN (2) Hunor Jakab, Lehel Csató
2011	A	`conf`	Learning inverse kinematics with structured prediction. IROS Botond Bocsi, Duy Nguyen-Tuong, Lehel Csató, Bernhard Schölkopf, Jan Peters
2011	J	`jnl`	Projected sequential Gaussian processes: A C++ tool for interpolation of large datasets with heterogeneous noise. Comput. Geosci. Remi Louis Barillec, Ben Ingram, Dan Cornford, Lehel Csató
2010	J	`jnl`	Hierarchical and Reweighting Cluster Kernels for Semi-Supervised Learning. Int. J. Comput. Commun. Control Zalán Bodó, Lehel Csató
2009	J	`jnl`	Bayesian Network Classifier for Medical Data Analysis. Int. J. Comput. Commun. Control Beáta Reiz, Lehel Csató
2009	B	`conf`	Dirichlet process-based component detection in state-space models. ESANN Botond Bocsi, Lehel Csató
2008	Misc	`conf`	Prufer Number Encoding for Genetic Bayesian Network Structure Learning Algorithm. SYNASC Beáta Reiz, Lehel Csató, Dan Dumitrescu
2007	B	`conf`	Kernel PCA based clustering for inducing features in text categorization. ESANN Zsolt Minier, Lehel Csató
2007	Misc	`conf`	Wikipedia-Based Kernels for Text Categorization. SYNASC Zsolt Minier, Zalán Bodó, Lehel Csató
2003	J	`jnl`	Tractable inference for probabilistic data models. Complex. Lehel Csató, Manfred Opper, Ole Winther
2002	J	`jnl`	Sparse On-Line Gaussian Processes. Neural Comput. Lehel Csató, Manfred Opper
2001	C	`conf`	Online Approximations for Wind-Field Models. ICANN Lehel Csató, Dan Cornford, Manfred Opper
2001	—	`conf`	TAP Gibbs Free Energy, Belief Propagation and Sparsity. NIPS Lehel Csató, Manfred Opper, Ole Winther
2000	—	`conf`	Sparse Representation for Gaussian Process Models. NIPS Lehel Csató, Manfred Opper
1999	—	`conf`	Efficient Approaches to Gaussian Process Classification. NIPS Lehel Csató, Ernest Fokoué, Manfred Opper, Bernhard Schottky, Ole Winther