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)

Acceleration of learning in feedforward networks using dynamical systems analysis and matrix perturbation theory. - Nikolaos Ampazis; Stavros J. Perantonis; John G. Taylor (IJCNN, 1999)

Dynamics of multilayer networks in the vicinity of temporary minima. - Nikolaos Ampazis; Stavros J. Perantonis; John G. Taylor (Neural Networks, 1999)

Levenberg-Marquardt Algorithm with Adaptive Momentum for the Efficient Training of Feedforward Networks. - Nikolaos Ampazis; Stavros J. Perantonis (IJCNN (1), 2000)

Training Feedforward Neural Networks with the Dogleg Method and BFGS Hessian Updates. - Stavros J. Perantonis; Nikolaos Ampazis; S. Spirou (IJCNN (1), 2000)

A Learning Framework for Neural Networks Using Constrained Optimization Methods. - Stavros J. Perantonis; Nikolaos Ampazis; Vassilis Virvilis (Ann. Oper. Res., 2000)

A dynamical model for the analysis and acceleration of learning in feedforward networks. - Nikolaos Ampazis; Stavros J. Perantonis; John G. Taylor (Neural Networks, 2001)

Two highly efficient second-order algorithms for training feedforward networks. - Nikolaos Ampazis; Stavros J. Perantonis (IEEE Trans. Neural Networks, 2002)

Cross-language information retrieval using latent semantic indexing and self-organizing maps. - Nikolaos Ampazis; Helen Iakovaki (IJCNN, 2004)

Pap-Smear Classification Using Efficient Second Order Neural Network Training Algorithms. - Nikolaos Ampazis; Georgios Dounias; Jan Jantzen (SETN, 2004)

Design of cellular manufacturing systems using Latent Semantic Indexing and Self Organizing Maps. - Nikolaos Ampazis; Ioannis Minis (Comput. Manag. Sci., 2004)

LSISOM - A Latent Semantic Indexing Approach to Self-Organizing Maps of Document Collections. - Nikolaos Ampazis; Stavros J. Perantonis (Neural Process. Lett., 2004)

Author Identification of E-mail Messages with OLMAM Trained Feedforward Neural Networks. - Nikolaos Ampazis; Helen Iakovaki; Georgios Dounias (ICTAI (2), 2007)

Modeling Stroke Diagnosis with the Use of Intelligent Techniques. - S. Lalas; Nikolaos Ampazis; Athanasios Tsakonas; Georgios Dounias; K. Vemmos (SETN, 2008)

Large Scale Problem Solving with Neural Networks: The Netflix Prize Case. - Nicholas Ampazis (ICANN (3), 2010)

Prediction of Aircraft Aluminum Alloys Tensile Mechanical Properties Degradation Using Support Vector Machines. - Nikolaos Ampazis; Nikolaos D. Alexopoulos (SETN, 2010)

An Efficient Constrained Learning Algorithm for Stable 2D IIR Filter Factorization. - Nicholas Ampazis; Stavros J. Perantonis (Adv. Artif. Neural Syst., 2013)

Reliability Analysis of a Two-Stage Goel-Okumoto and Yamada S-shaped Model. - Ioannis G. Sideratos; Agapios N. Platis; Vasilis P. Koutras; Nicholas Ampazis (DepCoS-RELCOMEX, 2014)

Exploring Semantic Features for Producing Top-N Recommendation Lists from Binary User Feedback. - Nicholas Ampazis; Theodoros Emmanouilidis (SemWebEval@ESWC, 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 (SETN, 2014)

LSRS'15: Workshop on Large-Scale Recommender Systems. - Tao Ye 001; Danny Bickson; Nicholas Ampazis; András A. Benczúr (RecSys, 2015)

Improved Jacobian Eigen-Analysis Scheme for Accelerating Learning in Feedforward Neural Networks. - Nikolaos Ampazis; Stavros J. Perantonis; Dimosthenis Drivaliaris (Cogn. Comput., 2015)

FALCON: A matrix factorization framework for recommender systems using constrained optimization. - Nicholas Ampazis; Theodoros Emmanouilidis (Intell. Decis. Technol., 2015)

Forecasting Demand in Supply Chain Using Machine Learning Algorithms. - Nicholas Ampazis (Int. J. Artif. Life Res., 2015)

Generating Recommendations by Graph Traversal in Social Rating Networks. - Flora Sakketou; Nicholas Ampazis; Dimosthenis Drivaliaris (SETN, 2018)

On the Invariance of the SELU Activation Function on Algorithm and Hyperparameter Selection in Neural Network Recommenders. - Flora Sakketou; Nicholas Ampazis (AIAI, 2019)

A Hessian Free Neural Networks Training Algorithm with Curvature Scaled Adaptive Momentum. - Flora Sakketou; Nicholas Ampazis (LION, 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 constrained optimization algorithm for learning GloVe embeddings with semantic lexicons. - Flora Sakketou; Nicholas Ampazis (Knowl. Based Syst., 2020)

Improving RAG Quality for Large Language Models with Topic-Enhanced Reranking. - Nicholas Ampazis (AIAI (2), 2024)

A Computationally Efficient Second Order Deep Learning Training Algorithm with Adaptive Momentum. - Flora Sakketou; Nicholas Ampazis (SETN, 2024)

Diversifying Multi-Head Attention in the Transformer Model. - Nicholas Ampazis; Flora Sakketou (Mach. Learn. Knowl. Extr., 2024)