Robust regression using support vector regressions M Sabzekar, SMH Hasheminejad Chaos, Solitons & Fractals 144, 110738, 2021 | 61 | 2021 |
Fuzzy c-means improvement using relaxed constraints support vector machines M Sabzekar, M Naghibzadeh Applied Soft Computing 13 (2), 881-890, 2013 | 33 | 2013 |
Intelligent arrhythmia detection using genetic algorithm and emphatic SVM (ESVM) JA Nasiri, M Sabzekar, HS Yazdi, M Naghibzadeh, B Naghibzadeh 2009 Third UKSim European Symposium on Computer Modeling and Simulation, 112-117, 2009 | 28 | 2009 |
Improved DAG SVM: A New Method for Multi-Class SVM Classification. M Sabzekar, M GhasemiGol, M Naghibzadeh, HS Yazdi IC-AI, 548-553, 2009 | 22 | 2009 |
IGPRED: Combination of Convolutional Neural and Graph Convolutional Networks for Protein Secondary Structure Prediction Y Görmez, M Sabzekar, Z Aydin Proteins: Structure, Function, and Bioinformatics 89, 1277–1288, 2021 | 16 | 2021 |
Relaxed constraints support vector machines for noisy data M Sabzekar, H Sadoghi Yazdi, M Naghibzadeh Neural Computing and Applications 20, 671-685, 2011 | 16 | 2011 |
An evolutionary correlation-aware feature selection method for classification problems M Namakin, M Rouhani, M Sabzekar Swarm and Evolutionary Computation 75, 101165, 2022 | 10 | 2022 |
A new support vector data description with fuzzy constraints M GhasemiGol, M Sabzekar, R Monsefi, M Naghibzadeh, HS Yazdi 2010 International Conference on Intelligent Systems, Modelling and …, 2010 | 10 | 2010 |
A noise-aware feature selection approach for classification M Sabzekar, Z Aydin Soft Computing 25 (8), 6391-6400, 2021 | 9 | 2021 |
Dental implants success prediction by classifier ensemble on imbalanced data M Sabzekar, M Namakin, HAS Babaki, A Deldari, V Babaiyan Computer Methods and Programs in Biomedicine Update 1, 100021, 2021 | 9 | 2021 |
Protein β-sheet prediction using an efficient dynamic programming algorithm M Sabzekar, M Naghibzadeh, M Eghdami, Z Aydin Computational biology and chemistry 70, 142-155, 2017 | 9 | 2017 |
Relaxed constraints support vector machine M Sabzekar, HS Yazdi, M Naghibzadeh Expert Systems 29 (5), 506-525, 2012 | 9 | 2012 |
Emphatic constraints support vector machine M Sabzekar, HS Yazdi, M Naghibzadeh, S Effati International Journal of Computer and Electrical Engineering 2 (2), 296, 2010 | 7 | 2010 |
A linda-based hierarchical master-worker model M GhasemiGol, M Sabzekar, H Deldari, AH Bahmani International Journal of Computer Theory and Engineering 1 (5), 556, 2009 | 7 | 2009 |
Tcp traffic classification using relaxed constraints support vector machines M Sabzekar, MHY Moghaddam, M Naghibzadeh Integration of practice-oriented knowledge technology: Trends and …, 2013 | 5 | 2013 |
Estimation of shear and Stoneley wave velocities from conventional well data using different intelligent systems and the concept of committee machine: an example from South … MM Labani, M Sabzekar Energy Sources, Part A: Recovery, Utilization, and Environmental Effects 45 …, 2023 | 3 | 2023 |
Sample reduction strategies for protein secondary structure prediction S Atasever, Z Aydın, H Erbay, M Sabzekar Applied Sciences 9 (20), 4429, 2019 | 3 | 2019 |
Efficient dynamic programming algorithm with prior knowledge for protein β-strand alignment M Sabzekar, M Naghibzadeh, J Sadri Journal of Theoretical Biology 417, 43-50, 2017 | 3 | 2017 |
Emphatic constraints support vector machines for Multi-class classification M Sabzekar, M Naghibzadeh, HS Yazdi, S Effati 2009 Third UKSim European Symposium on Computer Modeling and Simulation, 118-123, 2009 | 3 | 2009 |
DAMP: Decision-Making with the Combination of Analytical Hierarchy Process and Deep Learning (Case study: Car Sales Forecasting) M Sabzekar, F Afarideh, A Deldari, A Rezaei Computer and Knowledge Engineering 4 (2), 17-22, 2021 | 2 | 2021 |