Stefan Holban - researchr alias

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Viewing Publication 1 - 33 from 33

2022

Weather Forecasting Modeling Using Soft-Clipping Swish Activation FunctionMarina Adriana Mercioni, Stefan Holban. saci 2022: 99-104 [doi]

2021

Soft Clipping Mish - A Novel Activation Function for Deep LearningMarina Adriana Mercioni, Stefan Holban. icict2 2021: 13-17 [doi]

Soft-Clipping Swish: A Novel Activation Function for Deep LearningMarina Adriana Mercioni, Stefan Holban. saci 2021: 225-230 [doi]

Developing Novel Activation Functions in Time Series Anomaly Detection with LSTM AutoencoderMarina Adriana Mercioni, Stefan Holban. saci 2021: 73-78 [doi]

2020

Hierarchical Clustering for Image Classification in Dermatology: Towards Mobile DeployingMiruna D. Ciulu, Stefan Holban, Diana Lungeanu. mie 2020: 1303-1304 [doi]

Improving the Accuracy of Deep Neural Networks Through Developing New Activation FunctionsMarina Adriana Mercioni, Angel Marcel Tat, Stefan Holban. iccp2 2020: 385-391 [doi]

2019

A Survey of Distance Metrics in Clustering Data Mining TechniquesMarina Adriana Mercioni, Stefan Holban. icgsp 2019: 44-47 [doi]

Determining Optimal Multi-layer Perceptron Structure Using Linear RegressionMohamed Lafif Tej, Stefan Holban. bis 2019: 232-246 [doi]

2018

The Recognition of the Architectural Style Using Data Mining TechniquesMarina Adriana Mercioni, Stefan Holban. saci 2018: 331-338 [doi]

Comparative Study of Clustering Distance Measures to Determine Neural Network ArchitecturesMohamed Lafif Tej, Stefan Holban. saci 2018: 189-194 [doi]

2017

dGAselID: An R Package for Selecting a Variable Number of Features in High Dimensional DataNicolae Teodor Melita, Stefan Holban. rjour, 9(2):18, 2017. [doi]

2016

de novo motif discovery in ChIP-Seq dataAndrei Lihu, Stefan Holban. bib, 17(4):731, 2016. [doi]

An incomplete dominance genetic algorithm approach to microarray data analysisNicolae Teodor Melita, Stefan Holban. iccp2 2016: 147-151 [doi]

2015

Mobile Technology Support for Clinical Decision in Diabetic Keto-Acidosis EmergencyMirela Frandes, Bogdan Timar, Alexandra Tole, Stefan Holban, Diana Lungeanu. mie 2015: 316-320 [doi]

The influence of the background model on DNA motif prediction: An assessment for zinc finger transcription factor ZFXAndrei Lihu, Stefan Holban. saci 2015: 295-299 [doi]

De novo Motif Prediction using the Fireworks AlgorithmAndrei Lihu, Stefan Holban. ijsir, 6(3):24-40, 2015. [doi]

de novo motif discovery in ChIP-Seq dataAndrei Lihu, Stefan Holban. bib, 16(6):964-973, 2015. [doi]

A study on Ant Miner parametersRaul Robu, Cristian Vasar, Nicolae Robu, Stefan Holban. iisa 2015: 1-11 [doi]

Hierarchical clustering techniques and classification applied in Content Based Image Retrieval (CBIR)Radu Andrei Stefan, Ildiko-Angelica Szoke, Stefan Holban. saci 2015: 147-152 [doi]

2014

Mobile data acquisition towards contextual risk assessment for better disease management in diabetesCosmin Cernazanu-Glavan, Diana Lungeanu, Stefan Holban. saci 2014: 337-341 [doi]

An Interactive X-Ray Image Segmentation Technique for Bone ExtractionCristina Stolojescu-Crisan, Stefan Holban. iwbbio 2014: 1164-1171 [doi]

2013

A model to estimate the throughput value for a transport networkI. M. Haragos, Stefan Holban, Cosmin Cernazanu-Glavan. saci 2013: 269-273 [doi]

Particle Swarm Optimization with Disagreements on StagnationAndrei Lihu, Stefan Holban, Oana-Andreea Lihu. tcci, 12:171-190, 2013. [doi]

2012

Real-valued genetic algorithms with disagreementsAndrei Lihu, Stefan Holban, Oana-Andreea Popescu. memetic, 4(4):317-325, 2012. [doi]

2011

2009

A Model for Determining the Number of Negative Examples used in Training a MLPCosmin Cernazanu-Glavan, Stefan Holban. cisse 2010: 537-542 [doi]

Top five most promising algorithms in schedulingAndrei Lihu, Stefan Holban. saci 2009: 397-404 [doi]

2008

Exploratory Analysis of Medical Coding Practices: the Relevance of Reported Data Quality in Obstetrics-GynaecologyDiana Lungeanu, Daniela Zaharie, Stefan Holban, Elena Bernad, Maria Bari, Rodica Noaghiu. mie 2008: 839-844 [doi]

2007

A Computational Intelligence Approach for Ranking Risk Factors in Preterm BirthDaniela Zaharie, Stefan Holban, Diana Lungeanu, Dan Navolan. saci 2007: 135-140 [doi]

1986

Chemical graphs, 43. FORTRAN IV program for computing the numbers of general cubic graphs on p verticesAlexandru T. Balaban, Romul Vancea, Ioan Motoc, Stefan Holban. jcisd, 26(2):72-76, 1986. [doi]

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