S. Holban

发表

TeLU: A New Activation Function for Deep Learning

Marina Adriana Mercioni, S. Holban, 2020, 2020 International Symposium on Electronics and Telecommunications (ISETC).

P-Swish: Activation Function with Learnable Parameters Based on Swish Activation Function in Deep Learning

Marina Adriana Mercioni, S. Holban, 2020, 2020 International Symposium on Electronics and Telecommunications (ISETC).

A 3D reconstruction of a human organ using 2D ultrasound images

Stefan Holban, Cristina Hava Muntean, Gabriel-Miro Muntean, 1999 .

Weather Forecasting Modeling Using Soft-Clipping Swish Activation Function

Marina Adriana Mercioni, S. Holban, 2022, 2022 IEEE 16th International Symposium on Applied Computational Intelligence and Informatics (SACI).

Top five most promising algorithms in scheduling

Andrei Lihu, Stefan Holban, S. Holban, 2009, 2009 5th International Symposium on Applied Computational Intelligence and Informatics.

Determining the optimal percent of negative examples used in training the multilayer perceptron neural networks

Cosmin Cernazanu-Glavan, Stefan Holban, S. Holban, 2009 .

A Model for Determining the Number of Negative Examples used in Training a MLP

Cosmin Cernazanu-Glavan, Stefan Holban, S. Holban, 2009, SCSS.

An incomplete dominance genetic algorithm approach to microarray data analysis

Stefan Holban, Nicolae Teodor Melita, N. T. Melita, 2016, 2016 IEEE 12th International Conference on Intelligent Computer Communication and Processing (ICCP).

Analysis and Determination of Risk Factors Leading to Preterm Birth Using Data Mining Techniques in

S. Holban, Adriana-Georgiana Malea, 2010 .

The influence of the background model on DNA motif prediction: An assessment for zinc finger transcription factor ZFX

Andrei Lihu, Stefan Holban, S. Holban, 2015, 2015 IEEE 10th Jubilee International Symposium on Applied Computational Intelligence and Informatics.

Determining neural network architecture using data mining techniques

Stefan Holban, Mohamed Lafif Tej, S. Holban, 2018, 2018 International Conference on Development and Application Systems (DAS).

A review of ensemble methods for de novo motif discovery in ChIP-Seq data

S. Holban, Andrei Lihu, 2015, Briefings Bioinform..

Introducing Bee Colony Algorithm for Hexxagon game

Stefan Holban, Natalia Tatar, S. Holban, 2011, 2011 6th IEEE International Symposium on Applied Computational Intelligence and Informatics (SACI).

A Comparative Study of Association Rules Mining Algorithms

Stefan Holban, S. Holban, 2004 .

Determining Optimal Multi-layer Perceptron Structure Using Linear Regression

Stefan Holban, Mohamed Lafif Tej, S. Holban, 2019, BIS.

A Comparison of X-Ray Image Segmentation Techniques

C. Stolojescu-Crisan, S. Holban, S. Holban, 2013 .

The Most Used Activation Functions: Classic Versus Current

Marina Adriana Mercioni, Stefan Holban, S. Holban, 2020, 2020 International Conference on Development and Application Systems (DAS).

A review of ensemble methods for de novo motif discovery in ChIP-Seq data

Andrei Lihu, Stefan Holban, S. Holban, 2015, Briefings Bioinform..

Segmentation of bone structure in X-ray images using convolutional neural network

Stefan Holban, Cosmin Cernazanu-Glavan, S. Holban, 2013 .

Mobile data acquisition towards contextual risk assessment for better disease management in diabetes

Cosmin Cernazanu-Glavan, Diana Lungeanu, Stefan Holban, 2014, 2014 IEEE 9th IEEE International Symposium on Applied Computational Intelligence and Informatics (SACI).

Dynamic Modification of Activation Function using the Backpropagation Algorithm in the Artificial Neural Networks

Stefan Holban, Marina Adriana Mercioni, Alexandru Tiron, 2019, International Journal of Advanced Computer Science and Applications.

Prediction of Machine Temperature System Failure Using a Novel Activation Function

Marina Adriana Mercioni, S. Holban, 2022, International Symposium on Electronics and Telecommunications.

Hierarchical clustering techniques and classification applied in Content Based Image Retrieval (CBIR)

Stefan Holban, Radu Andrei Stefan, Ildiko-Angelica Szoke, 2015, 2015 IEEE 10th Jubilee International Symposium on Applied Computational Intelligence and Informatics.

Soft-Clipping Swish: A Novel Activation Function for Deep Learning

Stefan Holban, Marina Adriana Mercioni, S. Holban, 2021, 2021 IEEE 15th International Symposium on Applied Computational Intelligence and Informatics (SACI).

Developing Novel Activation Functions in Time Series Anomaly Detection with LSTM Autoencoder

Stefan Holban, Marina Adriana Mercioni, S. Holban, 2021, 2021 IEEE 15th International Symposium on Applied Computational Intelligence and Informatics (SACI).

Improving the Accuracy of Deep Neural Networks Through Developing New Activation Functions

Marina Adriana Mercioni, Stefan Holban, Angel Marcel Tat, 2020, 2020 IEEE 16th International Conference on Intelligent Computer Communication and Processing (ICCP).

A Survey of Distance Metrics in Clustering Data Mining Techniques

Stefan Holban, Marina Adriana Mercioni, S. Holban, 2019, Proceedings of the 2019 3rd International Conference on Graphics and Signal Processing.

Mobile Technology Support for Clinical Decision in Diabetic Keto-Acidosis Emergency

Stefan Holban, Diana Lungeanu, Mirela Frandes, 2015, MIE.

Workload Characterization an Essential Step in Computer Systems Performance Analysis - Methodology and Tools

R. T. Cheveresan, S. Holban., R. Cheveresan, 2009 .

Comparative Study of Clustering Distance Measures to Determine Neural Network Architectures

Stefan Holban, Mohamed Lafif Tej, S. Holban, 2018, 2018 IEEE 12th International Symposium on Applied Computational Intelligence and Informatics (SACI).

Real-valued genetic algorithms with disagreements

S. Holban, Andrei Lihu, Oana-Andreea Popescu, 2012, Memetic Comput..

Analytical model to determine the quality factor used in transport network

I. M. Haragos, C. Cernazanu-Glavan, S. Holban, 2013, 2013 IEEE 14th International Symposium on Computational Intelligence and Informatics (CINTI).

A Brief Review of the Most Recent Activation Functions for Neural Networks

Marina Adriana Mercioni, S. Holban, 2023, 2023 17th International Conference on Engineering of Modern Electric Systems (EMES).

Prostate ultrasound images processing

Daniela Crivianu-Gaita, F. Miclea, A. Gaspar, 1998, Bildverarbeitung für die Medizin.

Soft Clipping Mish - A Novel Activation Function for Deep Learning

Marina Adriana Mercioni, S. Holban, 2021, 2021 4th International Conference on Information and Computer Technologies (ICICT).

Determination of quality factor used in road traffic. An experimental study

I. M. Haragos, C. Cernazanu-Glavan, S. Holban, 2014, 2014 IEEE 12th International Symposium on Applied Machine Intelligence and Informatics (SAMI).

De novo Motif Prediction using the Fireworks Algorithm

Andrei Lihu, Stefan Holban, S. Holban, 2015, Int. J. Swarm Intell. Res..