| Technique for selecting examples in inductive learning DT Pham, SS Dimov, Z Salem European symposium on intelligent techniques (ESIT 2000), 119-127, 2000 | 34 | 2000 |
| A novel design of an industrial data acquisition system Z Salem, I Al Kamal, A Al Bashar 2006 2nd International Conference on Information & Communication …, 2006 | 14 | 2006 |
| The efficiency of the RULES-4 classification learning algorithm in predicting the density of agents Z Salem, T Schmickl Cogent Engineering 1 (1), 986262, 2014 | 7 | 2014 |
| Social adaptation of robots for modulating self-organization in animal societies P Zahadat, M Bodi, Z Salem, F Bonnet, ME De Oliveira, F Mondada, ... 2014 IEEE Eighth International Conference on Self-Adaptive and Self …, 2014 | 7 | 2014 |
| Automatically finding answers to" Why" and" How to" questions for Arabic language Z Salem, J Sadek, F Chakkour, N Haskkour International Conference on Knowledge-Based and Intelligent Information and …, 2010 | 7 | 2010 |
| An application of datamining and machine learning techniques in the metal industry DT Pham, MS Packianather, SS Dimov, AJ Soroka, T Gerard, S Bigot, ... | 6 | 2004 |
| Enhanced computer algorithms for machine learning Z Salem Systems Engineering division, Cardiff School of Engierring, Cardiff …, 2002 | 5 | 2002 |
| Estimation of moving agents density in 2D space based on LSTM neural network M Polic, Z Salem, K Griparic, S Bogdan, T Schmickl 2017 Evolving and Adaptive Intelligent Systems (EAIS), 1-8, 2017 | 4 | 2017 |
| Design choices for adapting bio-hybrid systems with evolutionary computation P Mariano, Z Salem, R Mills, P Zahadat, L Correia, T Schmickl Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2017 | 3 | 2017 |
| Improved inductive learning using training data reorganisation DT Pham, Z Salem Proceedings. 2004 International Conference on Information and Communication …, 2004 | 3 | 2004 |
| Evolving robot controllers for a bio-hybrid system P Mariano, Z Salem, R Mills, S Schönwetter-Fuchs-Schistek, L Correia, ... Artificial Life Conference Proceedings, 155-162, 2018 | 1 | 2018 |
| Estimating dynamics of honeybee population densities with machine learning algorithms Z Salem, G Radspieler, K Griparić, T Schmickl International Workshop on Machine Learning, Optimization, and Big Data, 309-321, 2017 | 1 | 2017 |
| Animal-guided evolutionary computation in honeybees and robots P Mariano, Z Salem, R Mills, P Zahadat, L Correia, T Schmickl | 1 | 2017 |
| A new technique for rule pruning in machine learning DT Pham, Z Salem Proceedings. 2004 International Conference on Information and Communication …, 2004 | 1 | 2004 |
| Convolutional Neural Network for Honeybee Density Estimation T Luneckas, M Luneckas, Z Salem, M Szopek, T Schmickl 2020 IEEE Symposium Series on Computational Intelligence (SSCI), 2558-2566, 2020 | | 2020 |
| A spatiotemporal framework for human indoor activity monitoring Z Salem, AP Weiss, FP Wenzl SPIE Future Sensing Technologies 11525, 115251L, 2020 | | 2020 |
| Virtual Animal Studies/Hybrid Societies T Schmickl, M Szopek, G Radspieler, M Bodi, S Schönwetter-Fuchs, ... Handbuch Virtualität, 629-651, 2020 | | 2020 |
