Nicholas Ampazis
Orcid: 0000-0002-7238-4731
According to our database1,
Nicholas Ampazis
authored at least 28 papers
between 1998 and 2020.
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Bibliography
2020
A constrained optimization algorithm for learning GloVe embeddings with semantic lexicons.
Knowl. Based Syst., 2020
2019
A Matrix Factorization Algorithm for Efficient Recommendations in Social Rating Networks Using Constrained Optimization.
Mach. Learn. Knowl. Extr., 2019
A Hessian Free Neural Networks Training Algorithm with Curvature Scaled Adaptive Momentum.
Proceedings of the Learning and Intelligent Optimization - 13th International Conference, 2019
On the Invariance of the SELU Activation Function on Algorithm and Hyperparameter Selection in Neural Network Recommenders.
Proceedings of the Artificial Intelligence Applications and Innovations, 2019
2018
Proceedings of the 10th Hellenic Conference on Artificial Intelligence, 2018
2015
Int. J. Artif. Life Res., 2015
FALCON: A matrix factorization framework for recommender systems using constrained optimization.
Intell. Decis. Technol., 2015
Improved Jacobian Eigen-Analysis Scheme for Accelerating Learning in Feedforward Neural Networks.
Cogn. Comput., 2015
Proceedings of the 9th ACM Conference on Recommender Systems, 2015
2014
Ground Resistance Estimation Using Feed-Forward Neural Networks, Linear Regression and Feature Selection Models.
Proceedings of the Artificial Intelligence: Methods and Applications, 2014
Exploring Semantic Features for Producing Top-N Recommendation Lists from Binary User Feedback.
Proceedings of the Semantic Web Evaluation Challenge, 2014
Proceedings of the Ninth International Conference on Dependability and Complex Systems DepCoS-RELCOMEX. June 30, 2014
2013
Adv. Artif. Neural Syst., 2013
2010
Prediction of Aircraft Aluminum Alloys Tensile Mechanical Properties Degradation Using Support Vector Machines.
Proceedings of the Artificial Intelligence: Theories, 2010
Proceedings of the Artificial Neural Networks - ICANN 2010, 2010
2008
Proceedings of the Artificial Intelligence: Theories, 2008
2007
Author Identification of E-mail Messages with OLMAM Trained Feedforward Neural Networks.
Proceedings of the 19th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2007), 2007
2004
LSISOM - A Latent Semantic Indexing Approach to Self-Organizing Maps of Document Collections.
Neural Process. Lett., 2004
Design of cellular manufacturing systems using Latent Semantic Indexing and Self Organizing Maps.
Comput. Manag. Sci., 2004
Pap-Smear Classification Using Efficient Second Order Neural Network Training Algorithms.
Proceedings of the Methods and Applications of Artificial Intelligence, 2004
2002
IEEE Trans. Neural Networks, 2002
2001
A dynamical model for the analysis and acceleration of learning in feedforward networks.
Neural Networks, 2001
2000
Ann. Oper. Res., 2000
Training Feedforward Neural Networks with the Dogleg Method and BFGS Hessian Updates.
Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000
Levenberg-Marquardt Algorithm with Adaptive Momentum for the Efficient Training of Feedforward Networks.
Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000
1999
Neural Networks, 1999
Acceleration of learning in feedforward networks using dynamical systems analysis and matrix perturbation theory.
Proceedings of the International Joint Conference Neural Networks, 1999
1998
Constrained Learning in Neural Networks: Application to Stable Factorization of 2-D Polynomials.
Neural Process. Lett., 1998