Stavros P. Adam

According to our database, Stavros P. Adam authored at least 11 papers between 2008 and 2022.

Collaborative distances:

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

2022

A Set Membership Approach to Discovering Feature Relevance and Explaining Neural Classifier Decisions.

Stavros P. Adam, Aristidis C. Likas

CoRR, 2022

2021

Intelligent Techniques and Hybrid Systems Experiments Using the Acumen Modeling and Simulation Environment.

Sotirios Tzamaras, Stavros P. Adam, Walid Taha

Proceedings of the Artificial Intelligence Applications and Innovations, 2021

2019

Evaluating generalization through interval-based neural network inversion.

Stavros P. Adam, Aristidis C. Likas, Michael N. Vrahatis

Neural Comput. Appl., 2019

2017

Interval Analysis Based Neural Network Inversion: A Means for Evaluating Generalization.

Stavros P. Adam, Aristidis C. Likas, Michael N. Vrahatis

Proceedings of the Engineering Applications of Neural Networks, 2017

2016

Ανάπτυξη και θεμελίωση μεθόδων για αξιόπιστους νευρωνικούς υπολογισμούς

Stavros P. Adam

PhD thesis, 2016

Bounding the Search Space for Global Optimization of Neural Networks Learning Error: An Interval Analysis Approach.

Stavros P. Adam, George D. Magoulas, Dimitrios A. Karras, Michael N. Vrahatis

J. Mach. Learn. Res., 2016

2015

Reliable estimation of a neural network's domain of validity through interval analysis based inversion.

Stavros P. Adam, Dimitris A. Karras, George D. Magoulas, Michael N. Vrahatis

Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

2014

Solving the linear interval tolerance problem for weight initialization of neural networks.

Stavros P. Adam, Dimitrios A. Karras, George D. Magoulas, Michael N. Vrahatis

Neural Networks, 2014

2012

Direct Zero-Norm Minimization for Neural Network Pruning and Training.

Stavros P. Adam, George D. Magoulas, Michael N. Vrahatis

Proceedings of the Engineering Applications of Neural Networks, 2012

2009

A Data Mining Approach in the Analysis of the Weight Space of Multilayer Perceptron Solving Complex Real World Tasks.

Stavros P. Adam, Dimitrios A. Karras, Michael N. Vrahatis

Proceedings of the Advances in Data Mining. 9th Industrial Conference, 2009

2008

Revisiting the Problem of Weight Initialization for Multi-Layer Perceptrons Trained with Back Propagation.

Stavros P. Adam, Dimitrios A. Karras, Michael N. Vrahatis

Proceedings of the Advances in Neuro-Information Processing, 15th International Conference, 2008