| Segmentation of bone structure in X-ray images using convolutional neural network C Cernazanu-Glavan, S Holban Adv. Electr. Comput. Eng 13 (1), 87-94, 2013 | 135 | 2013 |
| Minimum steric difference: the MTD method for QSAR studies Z Simon (No Title), 1984 | 92 | 1984 |
| The most used activation functions: Classic versus current MA Mercioni, S Holban 2020 International Conference on Development and Application Systems (DAS …, 2020 | 69 | 2020 |
| A comparative study of association rules mining algorithms C Győrödi, R Győrödi, S Holban SACI 2004, 1st Romanian-Hungarian Joint Symposium on Applied Computational …, 2004 | 54 | 2004 |
| A review of ensemble methods for de novo motif discovery in ChIP-Seq data A Lihu, Ş Holban Briefings in bioinformatics 16 (6), 964-973, 2015 | 50 | 2015 |
| P-swish: Activation function with learnable parameters based on swish activation function in deep learning MA Mercioni, S Holban 2020 International Symposium on Electronics and Telecommunications (ISETC), 1-4, 2020 | 28 | 2020 |
| Mining association rules using Dynamic FP-trees C Gyorodi, R Gyorodi, T Cofeey, S Holban Proceedings of irish signals and systems conference, 76-81, 2003 | 26 | 2003 |
| Receptor site mapping for cardiotonic aglycones by the minimal steric difference method Z Simon, N Dragomir, M Plauchithiu, H Glatt, F Kerek Chemical Structure–Biological Activity Relationships: Quantitative …, 1980 | 23 | 1980 |
| RECEPTOR SITE MAPPING. SEARCH STRATEGY OF STANDARD FOR CORRELATIONS WITH MINIMAL STERIC DIFFERENCES. Z Simon, A Chiriac, I Motoc, S Holban, D Ciubotariu, Z Szabadai | 21 | 1976 |
| An Interactive X-Ray Image Segmentation Technique for Bone Extraction. C Stolojescu-Crisan, S Holban IWBBIO, 1164-1171, 2014 | 20 | 2014 |
| Fuzzy logic based admission control for GPRS/EGPRS networks D Todinca, S Holban, P Perry, J Murphy Proc. of CONTI 2004, 2004 | 20 | 2004 |
| A genetic algorithm for classification R Robu, S Holban Recent Researches in Computers and Computing-International Conference on …, 2011 | 19 | 2011 |
| Das Monte Carlo‐studium der verteilung der sequenzen in den copolymeren des methylmethacrylats mit chloropren und des 2‐hydroxyäthyl‐methacrylats mit alkylacrylaten I Motoc, S Holban, R Vancea Journal of Polymer Science: Polymer Chemistry Edition 16 (7), 1601-1608, 1978 | 16 | 1978 |
| The analysis and classification of birth data R Robu, S Holban Acta Polytechnica Hungarica 12 (4), 77-96, 2015 | 15 | 2015 |
| Dynamic modification of activation function using the backpropagation algorithm in the artificial neural networks MA Mercioni, A Tiron, S Holban International Journal of Advanced Computer Science and Applications 10 (4), 2019 | 14 | 2019 |
| Zur kopolymerisation: Axiomatische formulierung eines mathematischen modells, das memory 3 programm—anwendungen I Mot̨oc, S Holban, D Ciubotariu Journal of Polymer Science: Polymer Chemistry Edition 15 (6), 1465-1472, 1977 | 14 | 1977 |
| A survey of distance metrics in clustering data mining techniques MA Mercioni, S Holban Proceedings of the 3rd International Conference on Graphics and Signal …, 2019 | 13 | 2019 |
| Das Monte Carlo‐studium der binären copolymerisation in der annahme des vorletzten Effektes. I. Theorie, memory 5‐programm, anwendungen I Motoc, R Vancea, S Holban Journal of Polymer Science: Polymer Chemistry Edition 16 (7), 1587-1593, 1978 | 12 | 1978 |
| Hierarchical clustering techniques and classification applied in Content Based Image Retrieval (CBIR) RA Stefan, IA Szöke, S Holban 2015 IEEE 10th Jubilee International Symposium on Applied Computational …, 2015 | 11 | 2015 |
| Feature ranking based on weights estimated by multiobjective optimization D Zaharie, D Lungeanu, S Holban Proceedings of IADIS First European Conference on Data Mining, 124-128, 2007 | 11 | 2007 |
