Vera Kurková - RankMe

104 papers A 1B 4C 4Journal 45Unranked 32

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Robustness of Deep ReLU Networks to Misclassification of High-Dimensional Data. CoRR Vera Kurková
2025	—	`conf`	Classification of Large Data Sets by Neural Networks: A Probabilistic Viewpoint. ICANN (1) Vera Kurková, Marcello Sanguineti
2025	J	`jnl`	Networks with Finite VC Dimension: Pro and Contra. CoRR Vera Kurková, Marcello Sanguineti
2025	—	`ed.`	SOFSEM 2025: Theory and Practice of Computer Science - 50th International Conference on Current Trends in Theory and Practice of Computer Science, SOFSEM 2025, Bratislava, Slovak Republic, January 20-23, 2025, Proceedings, Part I SOFSEM (1) Rastislav Královic, Vera Kurková
2025	—	`ed.`	SOFSEM 2025: Theory and Practice of Computer Science - 50th International Conference on Current Trends in Theory and Practice of Computer Science, SOFSEM 2025, Bratislava, Slovak Republic, January 20-23, 2025, Proceedings, Part II SOFSEM (2) Rastislav Královic, Vera Kurková
2024	—	`conf`	Some Comparisons of Linear and Deep ReLU Network Approximation. ICANN (10) Vera Kurková
2023	—	`conf`	Approximation of Binary-Valued Functions by Networks of Finite VC Dimension. ICANN (1) Vera Kurková
2023	J	`jnl`	Approximation of classifiers by deep perceptron networks. Neural Networks Vera Kurková, Marcello Sanguineti
2021	J	`jnl`	Correlations of random classifiers on large data sets. Soft Comput. Vera Kurková, Marcello Sanguineti
2021	J	`jnl`	Translation-Invariant Kernels for Multivariable Approximation. IEEE Trans. Neural Networks Learn. Syst. Vera Kurková, David Coufal
2020	J	`jnl`	Approximative compactness of linear combinations of characteristic functions. J. Approx. Theory Paul C. Kainen, Vera Kurková, Andrew Vogt
2020	J	`jnl`	Brain-inspired computing and machine learning. Neural Comput. Appl. Lazaros S. Iliadis, Vera Kurková, Barbara Hammer
2019	—	`ed.`	Artificial Neural Networks and Machine Learning - ICANN 2019 - 28th International Conference on Artificial Neural Networks, Munich, Germany, September 17-19, 2019, Proceedings - Workshop and Special Sessions ICANN (Workshop) Igor V. Tetko, Vera Kurková, Pavel Karpov, Fabian J. Theis
2019	—	`ed.`	Artificial Neural Networks and Machine Learning - ICANN 2019: Deep Learning - 28th International Conference on Artificial Neural Networks, Munich, Germany, September 17-19, 2019, Proceedings, Part II ICANN (2) Igor V. Tetko, Vera Kurková, Pavel Karpov, Fabian J. Theis
2019	—	`ed.`	Artificial Neural Networks and Machine Learning - ICANN 2019: Image Processing - 28th International Conference on Artificial Neural Networks, Munich, Germany, September 17-19, 2019, Proceedings, Part III ICANN (3) Igor V. Tetko, Vera Kurková, Pavel Karpov, Fabian J. Theis
2019	—	`ed.`	Artificial Neural Networks and Machine Learning - ICANN 2019: Text and Time Series - 28th International Conference on Artificial Neural Networks, Munich, Germany, September 17-19, 2019, Proceedings, Part IV ICANN (4) Igor V. Tetko, Vera Kurková, Pavel Karpov, Fabian J. Theis
2019	—	`ed.`	Artificial Neural Networks and Machine Learning - ICANN 2019: Theoretical Neural Computation - 28th International Conference on Artificial Neural Networks, Munich, Germany, September 17-19, 2019, Proceedings, Part I ICANN (1) Igor V. Tetko, Vera Kurková, Pavel Karpov, Fabian J. Theis
2019	J	`jnl`	Classification by Sparse Neural Networks. IEEE Trans. Neural Networks Learn. Syst. Vera Kurková, Marcello Sanguineti
2019	—	`conf`	Limitations of Shallow Networks. INNSBDDL (Tutorials) Vera Kurková
2019	J	`jnl`	Limitations of shallow networks representing finite mappings. Neural Comput. Appl. Vera Kurková
2019	—	`conf`	Probabilistic Bounds for Approximation by Neural Networks. ICANN (1) Vera Kurková
2019	—	`conf`	Probabilistic Bounds for Binary Classification of Large Data Sets. INNSBDDL Vera Kurková, Marcello Sanguineti
2018	—	`ed.`	Artificial Neural Networks and Machine Learning - ICANN 2018 - 27th International Conference on Artificial Neural Networks, Rhodes, Greece, October 4-7, 2018, Proceedings, Part I ICANN (1) Vera Kurková, Yannis Manolopoulos, Barbara Hammer, Lazaros S. Iliadis, Ilias Maglogiannis
2018	—	`ed.`	Artificial Neural Networks and Machine Learning - ICANN 2018 - 27th International Conference on Artificial Neural Networks, Rhodes, Greece, October 4-7, 2018, Proceedings, Part II ICANN (2) Vera Kurková, Yannis Manolopoulos, Barbara Hammer, Lazaros S. Iliadis, Ilias Maglogiannis
2018	—	`ed.`	Artificial Neural Networks and Machine Learning - ICANN 2018 - 27th International Conference on Artificial Neural Networks, Rhodes, Greece, October 4-7, 2018, Proceedings, Part III ICANN (3) Vera Kurková, Yannis Manolopoulos, Barbara Hammer, Lazaros S. Iliadis, Ilias Maglogiannis
2018	J	`jnl`	Constructive lower bounds on model complexity of shallow perceptron networks. Neural Comput. Appl. Vera Kurková
2018	—	`conf`	Probabilistic Bounds on Complexity of Networks Computing Binary Classification Tasks. ITAT Vera Kurková, Marcello Sanguineti
2018	—	`conf`	Sparsity and Complexity of Networks Computing Highly-Varying Functions. ICANN (3) Vera Kurková
2017	—	`conf`	Bounds on Sparsity of One-Hidden-Layer Perceptron Networks. ITAT Vera Kurková
2017	J	`jnl`	Probabilistic lower bounds for approximation by shallow perceptron networks. Neural Networks Vera Kurková, Marcello Sanguineti
2017	C	`conf`	Sparsity of Shallow Networks Representing Finite Mappings. EANN Vera Kurková
2016	C	`conf`	Lower Bounds on Complexity of Shallow Perceptron Networks. EANN Vera Kurková
2016	J	`jnl`	Model complexities of shallow networks representing highly varying functions. Neurocomputing Vera Kurková, Marcello Sanguineti
2016	—	`conf`	Multivariable Approximation by Convolutional Kernel Networks. ITAT Vera Kurková
2015	—	`conf`	Complexity of Shallow Networks Representing Finite Mappings. ICAISC (1) Vera Kurková
2015	—	`conf`	Limitations of One-Hidden-Layer Perceptron Networks. ITAT Vera Kurková
2014	J	`jnl`	Comparing fixed and variable-width Gaussian networks. Neural Networks Vera Kurková, Paul C. Kainen
2014	C	`conf`	Complexity of Shallow Networks Representing Functions with Large Variations. ICANN Vera Kurková, Marcello Sanguineti
2014	—	`ed.`	Proceedings of the main track of the 14th Conference on Information Technologies - Applications and Theory (ITAT 2014), with selected papers from Znalosti 2014 collocated with Znalosti 2014, Demanovska Dolina - Jasna, Slovakia, September 25 - 29, 2014. ITAT Vera Kurková, Lukás Bajer, Vojtech Svátek
2014	—	`conf`	Representations of Highly-Varying Functions by One-Hidden-Layer Networks. ICAISC (1) Vera Kurková
2013	—	`ch.`	Approximating Multivariable Functions by Feedforward Neural Nets. Handbook on Neural Information Processing Paul C. Kainen, Vera Kurková, Marcello Sanguineti
2013	—	`conf`	Can Two Hidden Layers Make a Difference? ICANNGA Vera Kurková, Marcello Sanguineti
2012	J	`jnl`	Accuracy of approximations of solutions to Fredholm equations by kernel methods. Appl. Math. Comput. Giorgio Gnecco, Vera Kurková, Marcello Sanguineti
2012	J	`jnl`	Complexity estimates based on integral transforms induced by computational units. Neural Networks Vera Kurková
2012	J	`jnl`	Dependence of Computational Models on Input Dimension: Tractability of Approximation and Optimization Tasks. IEEE Trans. Inf. Theory Paul C. Kainen, Vera Kurková, Marcello Sanguineti
2012	J	`jnl`	Guest editorial: Adaptive and natural computing algorithms. Neurocomputing Vera Kurková
2012	—	`ch.`	Model Complexity of Neural Networks in High-Dimensional Approximation. Recent Advances in Intelligent Engineering Systems Vera Kurková
2012	—	`conf`	Some Comparisons of Networks with Radial and Kernel Units. ICANN (2) Vera Kurková
2012	—	`conf`	Surrogate Modelling of Solutions of Integral Equations by Neural Networks. AIAI (1) Vera Kurková
2012	—	`conf`	Surrogate solutions of Fredholm equations by feedforward networks. ITAT Vera Kurková
2011	—	`conf`	Bounds for Approximate Solutions of Fredholm Integral Equations Using Kernel Networks. ICANN (1) Giorgio Gnecco, Vera Kurková, Marcello Sanguineti
2011	J	`jnl`	Can dictionary-based computational models outperform the best linear ones? Neural Networks Giorgio Gnecco, Vera Kurková, Marcello Sanguineti
2011	—	`conf`	Kernel Networks with Fixed and Variable Widths. ICANNGA (1) Vera Kurková, Paul C. Kainen
2011	J	`jnl`	Some comparisons of complexity in dictionary-based and linear computational models. Neural Networks Giorgio Gnecco, Vera Kurková, Marcello Sanguineti
2010	J	`jnl`	Editorial. Neural Networks Vera Kurková, Roman Neruda, Jan Koutník
2010	—	`conf`	Inverse Problems in Learning from Data. IJCCI (ICFC-ICNC) Vera Kurková
2010	—	`conf`	Learning from Data as an Optimization and Inverse Problem. IJCCI (Selected Papers) Vera Kurková
2010	—	`conf`	Some Comparisons of Model Complexity in Linear and Neural-Network Approximation. ICANN (3) Giorgio Gnecco, Vera Kurková, Marcello Sanguineti
2009	J	`jnl`	An Integral Upper Bound for Neural Network Approximation. Neural Comput. Paul C. Kainen, Vera Kurková
2009	J	`jnl`	Complexity of Gaussian-radial-basis networks approximating smooth functions. J. Complex. Paul C. Kainen, Vera Kurková, Marcello Sanguineti
2009	—	`ch.`	Estimates of Model Complexity in Neural-Network Learning. Innovations in Neural Information Paradigms and Applications Vera Kurková
2009	—	`conf`	Model Complexity of Neural Networks and Integral Transforms. ICANN (1) Vera Kurková
2009	—	`conf`	On Tractability of Neural-Network Approximation. ICANNGA Paul C. Kainen, Vera Kurková, Marcello Sanguineti
2008	J	`jnl`	Approximate Minimization of the Regularized Expected Error over Kernel Models. Math. Oper. Res. Vera Kurková, Marcello Sanguineti
2008	—	`ed.`	Artificial Neural Networks - ICANN 2008 , 18th International Conference, Prague, Czech Republic, September 3-6, 2008, Proceedings, Part I ICANN (1) Vera Kurková, Roman Neruda, Jan Koutník
2008	—	`ed.`	Artificial Neural Networks - ICANN 2008, 18th International Conference, Prague, Czech Republic, September 3-6, 2008, Proceedings, Part II ICANN (2) Vera Kurková, Roman Neruda, Jan Koutník
2008	—	`conf`	Estimates of Network Complexity and Integral Representations. ICANN (1) Paul C. Kainen, Vera Kurková
2008	B	`conf`	Geometric Rates of Approximation by Neural Networks. SOFSEM Vera Kurková, Marcello Sanguineti
2008	J	`jnl`	Geometric Upper Bounds on Rates of Variable-Basis Approximation. IEEE Trans. Inf. Theory Vera Kurková, Marcello Sanguineti
2008	J	`jnl`	Minimization of Error Functionals over Perceptron Networks. Neural Comput. Vera Kurková
2007	J	`jnl`	A Sobolev-type upper bound for rates of approximation by linear combinations of Heaviside plane waves. J. Approx. Theory Paul C. Kainen, Vera Kurková, Andrew Vogt
2007	—	`conf`	Estimates of Approximation Rates by Gaussian Radial-Basis Functions. ICANNGA (2) Paul C. Kainen, Vera Kurková, Marcello Sanguineti
2007	—	`conf`	Estimates of Data Complexity in Neural-Network Learning. SOFSEM (1) Vera Kurková
2007	J	`jnl`	Estimates of covering numbers of convex sets with slowly decaying orthogonal subsets. Discret. Appl. Math. Vera Kurková, Marcello Sanguineti
2007	—	`ch.`	Generalization in Learning from Examples. Challenges for Computational Intelligence Vera Kurková
2005	J	`jnl`	Error Estimates for Approximate Optimization by the Extended Ritz Method. SIAM J. Optim. Vera Kurková, Marcello Sanguineti
2005	J	`jnl`	Learning with generalization capability by kernel methods of bounded complexity. J. Complex. Vera Kurková, Marcello Sanguineti
2005	J	`jnl`	Neural Network Learning as an Inverse Problem. Log. J. IGPL Vera Kurková
2005	J	`jnl`	Rates of Minimization of Error Functionals over Boolean Variable-Basis Functions. J. Math. Model. Algorithms Paul C. Kainen, Vera Kurková, Marcello Sanguineti
2004	J	`jnl`	Minimization of Error Functionals over Variable-Basis Functions. SIAM J. Optim. Paul C. Kainen, Vera Kurková, Marcello Sanguineti
2003	J	`jnl`	Best approximation by linear combinations of characteristic functions of half-spaces. J. Approx. Theory Paul C. Kainen, Vera Kurková, Andrew Vogt
2003	—	`conf`	Neural network learning as approximate optimization. ICANNGA Vera Kurková, Marcello Sanguineti
2002	J	`jnl`	Comparison of worst case errors in linear and neural network approximation. IEEE Trans. Inf. Theory Vera Kurková, Marcello Sanguineti
2001	J	`jnl`	Bounds on rates of variable-basis and neural-network approximation. IEEE Trans. Inf. Theory Vera Kurková, Marcello Sanguineti
2001	J	`jnl`	Continuity of Approximation by Neural Networks in Lp Spaces. Ann. Oper. Res. Paul C. Kainen, Vera Kurková, Andrew Vogt
2001	C	`conf`	Tight Bounds on Rates of Neural-Network Approximation. ICANN Vera Kurková, Marcello Sanguineti
2000	J	`jnl`	Best approximation by Heaviside perceptron networks. Neural Networks Paul C. Kainen, Vera Kurková, Andrew Vogt
2000	—	`conf`	Comparison of Rates of Linear and Neural Network Approximation. IJCNN (1) Vera Kurková, Marcello Sanguineti
1999	J	`jnl`	Approximation by neural networks is not continuous. Neurocomputing Paul C. Kainen, Vera Kurková, Andrew Vogt
1998	—	`conf`	Approximation of Functions by Neural Networks. NC Vera Kurková
1998	—	`book`	Dealing with Complexity Mirek Kárný, Kevin Warwick, Vera Kurková
1998	J	`jnl`	Representations and rates of approximation of real-valued Boolean functions by neural networks. Neural Networks Vera Kurková, Petr Savický, Katerina Hlavácková
1997	J	`jnl`	Estimates of the Number of Hidden Units and Variation with Respect to Half-Spaces. Neural Networks Vera Kurková, Paul C. Kainen, Vladik Kreinovich
1997	—	`conf`	Upper Bounds on the Approximation Rates of Real-valued Boolean Functions by Neural Networks. ICANNGA Katerina Hlavácková, Vera Kurková, Petr Savický
1996	—	`conf`	A geometric method to obtain error-correcting classification by neural networks with fewer hidden units. ICNN Vera Kurková, Paul C. Kainen
1996	B	`conf`	Rates of approximation of real-valued boolean functions by neural networks. ESANN Katerina Hlavácková, Vera Kurková
1995	B	`conf`	Approximation of functions by Gaussian RBF networks with bouded number of hidden units. ESANN Vera Kurková
1995	J	`jnl`	Approximation of functions by perceptron networks with bounded number of hidden units. Neural Networks Vera Kurková
1994	B	`conf`	Approximation of continuous functions by RBF and KBF networks. ESANN Vera Kurková, Katerina Hlavácková
1994	J	`jnl`	Functionally Equivalent Feedforward Neural Networks. Neural Comput. Vera Kurková, Paul C. Kainen
1994	J	`jnl`	Uniqueness of network parametrization and faster learning. Neural Parallel Sci. Comput. Paul C. Kainen, Vera Kurková, Vladik Kreinovich, Ongard Sirisaengtaksin
1992	J	`jnl`	Kolmogorov's theorem and multilayer neural networks. Neural Networks Vera Kurková
1992	A	`conf`	Universal Approximation Using Feedforward Neural Networks with Gaussian Bar Units. ECAI Vera Kurková
1991	J	`jnl`	Kolmogorov's Theorem Is Relevant. Neural Comput. Vera Kurková