| No Free Lunch Theorem: A Review SP Adam, SAN Alexandropoulos, PM Pardalos, MN Vrahatis Springer Optimization and Its Applications 145 (Approximation and …, 2019 | 370 | 2019 |
| Solving the linear interval tolerance problem for weight initialization of neural networks SP Adam, DA Karras, GD Magoulas, MN Vrahatis Neural Networks 54, 17-37, 2014 | 41 | 2014 |
| Bounding the search space for global optimization of neural networks learning error: an interval analysis approach SP Adam, GD Magoulas, DA Karras, MN Vrahatis Journal of Machine Learning Research 17 (169), 1-40, 2016 | 17 | 2016 |
| Revisiting the problem of weight initialization for multi-layer perceptrons trained with back propagation S Adam, DA Karras, MN Vrahatis International Conference on Neural Information Processing, 308-315, 2008 | 15 | 2008 |
| Approximation and Optimization SP Adam, SAN Alexandropoulos, PM Pardalos, MN Vrahatis Springer, 2019 | 14 | 2019 |
| Evaluating generalization through interval-based neural network inversion SP Adam, AC Likas, MN Vrahatis Neural Computing and Applications, 2019, 2019 | 8 | 2019 |
| No free lunch theorem: a review. Approximation and Optimization: Algorithms, Complexity and Applications 57–82 SP Adam, SAN Alexandropoulos, PM Pardalos, MN Vrahatis | 7 | 2019 |
| Reliable estimation of a neural network's domain of validity through interval analysis based inversion SP Adam, DA Karras, GD Magoulas, MN Vrahatis 2015 international joint conference on neural networks (IJCNN), 1-8, 2015 | 7 | 2015 |
| N., Pardalos PM, Vrahatis MN (2019) No Free Lunch Theorem: A Review SP Adam, SA Alexandropoulos Approximation and Optimization. Springer Optimization and Its Applications 145, 0 | 5 | |
| Interval analysis based neural network inversion: a means for evaluating generalization SP Adam, AC Likas, MN Vrahatis Engineering Applications of Neural Networks: 18th International Conference …, 2017 | 4 | 2017 |
| Set Inversion Via Interval Analysis A Study on Parallel Processing Implementation KA Nasiotis, D López, SP Adam, LG Casado SWIM, 2019 | 2 | 2019 |
| A Set Membership Approach to Discovering Feature Relevance and Explaining Neural Classifier Decisions SP Adam, AC Likas https://doi.org/10.48550/arXiv.2204.02241, 2022 | 1 | 2022 |
| Direct Zero-Norm Minimization for Neural Network Pruning and Training SP Adam, GD Magoulas, MN Vrahatis Engineering Applications of Neural Networks: 13th International Conference …, 2012 | 1 | 2012 |
| Intelligent Techniques and Hybrid Systems Experiments Using the Acumen Modeling and Simulation Environment S Tzamaras, S Adam, W Taha Artificial Intelligence Applications and Innovations: 17th IFIP WG 12.5 …, 2021 | | 2021 |
| A Study on Clustering Initial Weights Space of MLP Neural Networks in Terms of Fast Convergence and Generalization Capability S Adam, DA Karras, MN Vrahatis Recent Progress in Computational Sciences and Engineering (2 vols), 1-2, 2019 | | 2019 |
| On parallelizing Set Inversion by Interval Analysis K Nasiotis, D López, SP Adam, LG Casado Avances en Arquitectura y Tecnología de Computadores: Actas de Jornadas …, 2019 | | 2019 |
| An Interval Median Algebra SP Adam, GC Meletiou, MN Vrahatis 11th Summer Workshop on Interval Methods, (SWIM 2018), 2018 | | 2018 |
| Interval Methods for Resolving Neural Computation Issues SP Adam, DA Karras, GD Magoulas, MN Vrahatis 10th Summer Workshop on Interval Methods, and 3rd International Symposium on …, 2017 | | 2017 |
| Interval Methods in Knowledge Representation V Kreinovich INTERNATIONAL JOURNAL OF UNCERTAINTY FUZZINESS AND KNOWLEDGE-BASED SYSTEMS …, 2016 | | 2016 |
| A Data Mining Approach in the Analysis of the Weight Space of Multilayer Perceptron Solving Complex Real World Tasks. SP Adam, DA Karras, MN Vrahatis ICDM (Posters), 38-52, 2009 | | 2009 |
Michael N. VrahatisDepartment of Mathematics, University of Patras, Greece在 upatras.gr 的电子邮件经过验证
