Chemical graphs, 43. FORTRAN IV program for computing the numbers of general cubic graphs on p vertices. - Alexandru T. Balaban; Romul Vancea; Ioan Motoc; Stefan Holban (J. Chem. Inf. Comput. Sci., 1986)

Prostate ultrasound images processing. - Daniela Crivianu-Gaita; F. Miclea; A. Gaspar; Stefan Holban; Gabriel-Miro Muntean (Bildverarbeitung für die Medizin, 1998)

A Computational Intelligence Approach for Ranking Risk Factors in Preterm Birth. - Daniela Zaharie; Stefan Holban; Diana Lungeanu; Dan Navolan (SACI, 2007)

Exploratory Analysis of Medical Coding Practices: the Relevance of Reported Data Quality in Obstetrics-Gynaecology. - Diana Lungeanu; Daniela Zaharie; Stefan Holban; Elena Bernad; Maria Bari; Rodica Noaghiu (MIE, 2008)

A Model for Determining the Number of Negative Examples used in Training a MLP. - Cosmin Cernazanu-Glavan; Stefan Holban (SCSS, 2009)

Top five most promising algorithms in scheduling. - Andrei Lihu; Stefan Holban (SACI, 2009)

Real-Valued Genetic Algorithms with Disagreements. - Andrei Lihu; Stefan Holban (NICSO, 2011)

A study on the minimal number of particles for a simplified particle swarm optimization algorithm. - Andrei Lihu; Stefan Holban (SACI, 2011)

Introducing Bee Colony Algorithm for Hexxagon game. - Natalia Tatar; Stefan Holban (SACI, 2011)

Particle Swarm Optimization with Disagreements. - Andrei Lihu; Stefan Holban (ICSI (1), 2011)

Real-valued genetic algorithms with disagreements. - Andrei Lihu; Stefan Holban; Oana-Andreea Popescu (Memetic Comput., 2012)

A model to estimate the throughput value for a transport network. - I. M. Haragos; Stefan Holban; Cosmin Cernazanu-Glavan (SACI, 2013)

Particle Swarm Optimization with Disagreements on Stagnation. - Andrei Lihu; Stefan Holban; Oana-Andreea Lihu (Trans. Comput. Collect. Intell., 2013)

An Interactive X-Ray Image Segmentation Technique for Bone Extraction. - Cristina Stolojescu-Crisan; Stefan Holban (IWBBIO, 2014)

Mobile data acquisition towards contextual risk assessment for better disease management in diabetes. - Cosmin Cernazanu-Glavan; Diana Lungeanu; Stefan Holban (SACI, 2014)

A study on Ant Miner parameters. - Raul Robu; Cristian Vasar; Nicolae Robu; Stefan Holban (IISA, 2015)

Mobile Technology Support for Clinical Decision in Diabetic Keto-Acidosis Emergency. - Mirela Frandes; Bogdan Timar; Alexandra Tole; Stefan Holban; Diana Lungeanu (MIE, 2015)

The influence of the background model on DNA motif prediction: An assessment for zinc finger transcription factor ZFX. - Andrei Lihu; Stefan Holban (SACI, 2015)

Hierarchical clustering techniques and classification applied in Content Based Image Retrieval (CBIR). - Radu Andrei Stefan; Ildiko-Angelica Szoke; Stefan Holban (SACI, 2015)

De novo Motif Prediction using the Fireworks Algorithm. - Andrei Lihu; Stefan Holban (Int. J. Swarm Intell. Res., 2015)

An incomplete dominance genetic algorithm approach to microarray data analysis. - Nicolae Teodor Melita; Stefan Holban (ICCP, 2016)

A review of ensemble methods for de novo motif discovery in ChIP-Seq data. - Andrei Lihu; Stefan Holban (Briefings Bioinform., 2016)

dGAselID: An R Package for Selecting a Variable Number of Features in High Dimensional Data. - Nicolae Teodor Melita; Stefan Holban (R J., 2017)

The Recognition of the Architectural Style Using Data Mining Techniques. - Marina Adriana Mercioni; Stefan Holban (SACI, 2018)

Comparative Study of Clustering Distance Measures to Determine Neural Network Architectures. - Mohamed Lafif Tej; Stefan Holban (SACI, 2018)

Determining Optimal Multi-layer Perceptron Structure Using Linear Regression. - Mohamed Lafif Tej; Stefan Holban (BIS (1), 2019)

A Survey of Distance Metrics in Clustering Data Mining Techniques. - Marina Adriana Mercioni; Stefan Holban (ICGSP, 2019)

Improving the Accuracy of Deep Neural Networks Through Developing New Activation Functions. - Marina Adriana Mercioni; Angel Marcel Tat; Stefan Holban (ICCP, 2020)

Hierarchical Clustering for Image Classification in Dermatology: Towards Mobile Deploying. - Miruna D. Ciulu; Stefan Holban; Diana Lungeanu (MIE, 2020)

Soft Clipping Mish - A Novel Activation Function for Deep Learning. - Marina Adriana Mercioni; Stefan Holban (ICICT, 2021)

Developing Novel Activation Functions in Time Series Anomaly Detection with LSTM Autoencoder. - Marina Adriana Mercioni; Stefan Holban (SACI, 2021)

Soft-Clipping Swish: A Novel Activation Function for Deep Learning. - Marina Adriana Mercioni; Stefan Holban (SACI, 2021)

Weather Forecasting Modeling Using Soft-Clipping Swish Activation Function. - Marina Adriana Mercioni; Stefan Holban (SACI, 2022)