Two highly efficient second-order algorithms for training feedforward networks N Ampazis, SJ Perantonis IEEE Transactions on Neural Networks 13 (5), 1064-1074, 2002 | 214 | 2002 |
Levenberg-Marquardt algorithm with adaptive momentum for the efficient training of feedforward networks N Ampazis, SJ Perantonis Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural …, 2000 | 96 | 2000 |
Dynamics of multilayer networks in the vicinity of temporary minima N Ampazis, SJ Perantonis, JG Taylor Neural Networks 12 (1), 43-58, 1999 | 56 | 1999 |
Constrained learning in neural networks: Application to stable factorization of 2-D polynomials S Perantonis, N Ampazis, S Varoufakis, G Antoniou Neural Processing Letters 7, 5-14, 1998 | 50 | 1998 |
A constrained optimization algorithm for learning GloVe embeddings with semantic lexicons F Sakketou, N Ampazis Knowledge-Based Systems 195, 105628, 2020 | 39 | 2020 |
LSISOM—A Latent Semantic Indexing Approach to Self-Organizing Maps of Document Collections N Ampazis, SJ Perantonis Neural Processing Letters 19, 157-173, 2004 | 37 | 2004 |
Pap-smear classification using efficient second order neural network training algorithms N Ampazis, G Dounias, J Jantzen Lecture notes in computer science, 230-245, 2004 | 34 | 2004 |
Collaborative filtering via concept decomposition on the netflix dataset N Ampazis Proceedings of the 18th European Conference on Artificial Intelligence …, 2008 | 27 | 2008 |
Automated identification of cancerous smears using various competitive intelligent techniques G Dounias, B Bjerregaard, J Jantzen, A Tsakonas, N Ampazis, G Panagi, ... Oncology reports 15 (4), 1001-1006, 2006 | 26 | 2006 |
Supply Chain Optimization, Design, and Management: Advances and Intelligent Methods: Advances and Intelligent Methods I Minis, V Zeimpekis, G Dounias, N Ampazis IGI Global, 2010 | 24 | 2010 |
A dynamical model for the analysis and acceleration of learning in feedforward networks N Ampazis, SJ Perantonis, JG Taylor Neural networks 14 (8), 1075-1088, 2001 | 14 | 2001 |
A learning framework for neural networks using constrained optimization methods SJ Perantonis, N Ampazis, V Virvilis Annals of Operations Research 99, 385-401, 2000 | 14 | 2000 |
Forecasting Demand in Supply Chain Using Machine Learning Algorithms N Ampazis International Journal of Artificial Life Research (IJALR) 5 (1), 56-73, 2015 | 13 | 2015 |
Factorization of 2-D polynomials using neural networks and constrained learning techniques SJ Perantonis, N Ampazis, SJ Varoufakis, G Antoniou ISIE'97 Proceeding of the IEEE International Symposium on Industrial …, 1997 | 13 | 1997 |
Efficient second order neural network training algorithms for the construction of a pap-smear classifier N Ampazis, G Dounias, J Jantzen Lecture Notes in Artificial Intelligence (LNAI) 3025, 230-245, 2004 | 12 | 2004 |
On the invariance of the selu activation function on algorithm and hyperparameter selection in neural network recommenders F Sakketou, N Ampazis Artificial Intelligence Applications and Innovations: 15th IFIP WG 12.5 …, 2019 | 10 | 2019 |
Recommending Who to Follow on Twitter Based on Tweet Contents and Social Connections E Tsourougianni, N Ampazis Social Networking 2, 165, 2013 | 10 | 2013 |
Applications of neural networks in supply chain management I Minis Handbook of Research on Nature-Inspired Computing for Economics and …, 2007 | 9 | 2007 |
Prediction of aircraft aluminum alloys tensile mechanical properties degradation using support vector machines N Ampazis, ND Alexopoulos Hellenic Conference on Artificial Intelligence, 9-18, 2010 | 8 | 2010 |
Cross-language information retrieval using latent semantic indexing and self-organizing maps N Ampazis, H Iakovaki 2004 IEEE International Joint Conference on Neural Networks (IEEE Cat. No …, 2004 | 8 | 2004 |