Nicholas Ampazis

According to our database, Nicholas Ampazis authored at least 29 papers between 1998 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Improving RAG Quality for Large Language Models with Topic-Enhanced Reranking.

Nicholas Ampazis

Proceedings of the Artificial Intelligence Applications and Innovations, 2024

2020

A constrained optimization algorithm for learning GloVe embeddings with semantic lexicons.

Flora Sakketou, Nicholas Ampazis

Knowl. Based Syst., 2020

2019

A Matrix Factorization Algorithm for Efficient Recommendations in Social Rating Networks Using Constrained Optimization.

Nicholas Ampazis, Theodoros Emmanouilidis, Flora Sakketou

Mach. Learn. Knowl. Extr., 2019

A Hessian Free Neural Networks Training Algorithm with Curvature Scaled Adaptive Momentum.

Flora Sakketou, Nicholas Ampazis

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.

Flora Sakketou, Nicholas Ampazis

Proceedings of the Artificial Intelligence Applications and Innovations, 2019

2018

Generating Recommendations by Graph Traversal in Social Rating Networks.

Flora Sakketou, Nicholas Ampazis, Dimosthenis Drivaliaris

Proceedings of the 10th Hellenic Conference on Artificial Intelligence, 2018

2015

Forecasting Demand in Supply Chain Using Machine Learning Algorithms.

Nicholas Ampazis

Int. J. Artif. Life Res., 2015

FALCON: A matrix factorization framework for recommender systems using constrained optimization.

Nicholas Ampazis, Theodoros Emmanouilidis

Intell. Decis. Technol., 2015

Improved Jacobian Eigen-Analysis Scheme for Accelerating Learning in Feedforward Neural Networks.

Nikolaos Ampazis, Stavros J. Perantonis, Dimosthenis Drivaliaris

Cogn. Comput., 2015

LSRS'15: Workshop on Large-Scale Recommender Systems.

Tao Ye, Danny Bickson, Nicholas Ampazis, András A. Benczúr

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.

Theopi Eleftheriadou, Nikolaos Ampazis, Vasilios P. Androvitsaneas, Ioannis F. Gonos, Georgios Dounias, Ioannis A. Stathopulos

Proceedings of the Artificial Intelligence: Methods and Applications, 2014

Exploring Semantic Features for Producing Top-N Recommendation Lists from Binary User Feedback.

Nicholas Ampazis, Theodoros Emmanouilidis

Proceedings of the Semantic Web Evaluation Challenge, 2014

Reliability Analysis of a Two-Stage Goel-Okumoto and Yamada S-shaped Model.

Ioannis G. Sideratos, Agapios N. Platis, Vasilis P. Koutras, Nicholas Ampazis

Proceedings of the Ninth International Conference on Dependability and Complex Systems DepCoS-RELCOMEX. June 30, 2014

2013

An Efficient Constrained Learning Algorithm for Stable 2D IIR Filter Factorization.

Nicholas Ampazis, Stavros J. Perantonis

Adv. Artif. Neural Syst., 2013

2010

Prediction of Aircraft Aluminum Alloys Tensile Mechanical Properties Degradation Using Support Vector Machines.

Nikolaos Ampazis, Nikolaos D. Alexopoulos

Proceedings of the Artificial Intelligence: Theories, 2010

Large Scale Problem Solving with Neural Networks: The Netflix Prize Case.

Nicholas Ampazis

Proceedings of the Artificial Neural Networks - ICANN 2010, 2010

2008

Modeling Stroke Diagnosis with the Use of Intelligent Techniques.

S. Lalas, Nikolaos Ampazis, Athanasios Tsakonas, Georgios Dounias, K. Vemmos

Proceedings of the Artificial Intelligence: Theories, 2008

2007

Author Identification of E-mail Messages with OLMAM Trained Feedforward Neural Networks.

Nikolaos Ampazis, Helen Iakovaki, Georgios Dounias

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.

Nikolaos Ampazis, Stavros J. Perantonis

Neural Process. Lett., 2004

Design of cellular manufacturing systems using Latent Semantic Indexing and Self Organizing Maps.

Nikolaos Ampazis, Ioannis Minis

Comput. Manag. Sci., 2004

Pap-Smear Classification Using Efficient Second Order Neural Network Training Algorithms.

Nikolaos Ampazis, Georgios Dounias, Jan Jantzen

Proceedings of the Methods and Applications of Artificial Intelligence, 2004

2002

Two highly efficient second-order algorithms for training feedforward networks.

Nikolaos Ampazis, Stavros J. Perantonis

IEEE Trans. Neural Networks, 2002

2001

A dynamical model for the analysis and acceleration of learning in feedforward networks.

Nikolaos Ampazis, Stavros J. Perantonis, John G. Taylor

Neural Networks, 2001

2000

A Learning Framework for Neural Networks Using Constrained Optimization Methods.

Stavros J. Perantonis, Nikolaos Ampazis, Vassilis Virvilis

Ann. Oper. Res., 2000

Training Feedforward Neural Networks with the Dogleg Method and BFGS Hessian Updates.

Stavros J. Perantonis, Nikolaos Ampazis, S. Spirou

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.

Nikolaos Ampazis, Stavros J. Perantonis

Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000

1999

Dynamics of multilayer networks in the vicinity of temporary minima.

Nikolaos Ampazis, Stavros J. Perantonis, John G. Taylor

Neural Networks, 1999

Acceleration of learning in feedforward networks using dynamical systems analysis and matrix perturbation theory.

Nikolaos Ampazis, Stavros J. Perantonis, John G. Taylor

Proceedings of the International Joint Conference Neural Networks, 1999

1998

Constrained Learning in Neural Networks: Application to Stable Factorization of 2-D Polynomials.

Stavros J. Perantonis, Nikolaos Ampazis, Stavros Varoufakis, George Antoniou

Neural Process. Lett., 1998