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ORCIDSoheila Gheisari
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- affiliation: Islamic Azad University, Tehran, Iran
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2020 – today
- 2023
[c8]Soheila Gheisari, Alireza Rezaee, Farshid Hajati:
Co-evolution Genetic Algorithm Approximation Technique for ROM-Less Digital Synthesizers. AINA (3) 2023: 573-584- 2021
- [j8]Alireza Rafiei, Alireza Rezaee, Farshid Hajati, Soheila Gheisari, S. Mojtaba Golzan
:
SSP: Early prediction of sepsis using fully connected LSTM-CNN model. Comput. Biol. Medicine 128: 104110 (2021) - [c7]Farshid Hajati, Alireza Rezaee, Soheila Gheisari:
Genetic Algorithms for Scheduling Examinations. AINA (3) 2021: 524-532 - [c6]Soheila Gheisari, Alireza Rezaee, Farshid Hajati:
Solving Job Scheduling Problem Using Genetic Algorithm. AINA (3) 2021: 533-540 - [i1]Camilo Javier Pineda Sopo, Farshid Hajati, Soheila Gheisari:
DeFungi: Direct Mycological Examination of Microscopic Fungi Images. CoRR abs/2109.07322 (2021)
2010 – 2019
- 2019
- [b1]Soheila Gheisari:
Computer-Aided Diagnosis Systems in the Classification of Neuroblastoma Histological Images. University of Technology Sydney, Australia, 2019 - [c5]Farshid Hajati, Ali Cheraghian, Omid Ameri Sianaki, Behnam Zeinali, Soheila Gheisari:
Polar Topographic Derivatives for 3D Face Recognition: Application to Internet of Things Security. AINA Workshops 2019: 936-945 - 2017
- [j7]Soheila Gheisari, Mohammad Reza Meybodi:
A new reasoning and learning model for Cognitive Wireless Sensor Networks based on Bayesian networks and learning automata cooperation. Comput. Networks 124: 11-26 (2017) - [j6]Soheila Gheisari, Mohammad Reza Meybodi, Mehdi Dehghan, Mohammad Mehdi Ebadzadeh:
Bayesian network structure training based on a game of learning automata. Int. J. Mach. Learn. Cybern. 8(4): 1093-1105 (2017) - [j5]Farshid Hajati, Ali Cheraghian, Soheila Gheisari, Yongsheng Gao, Ajmal S. Mian:
Surface geodesic pattern for 3D deformable texture matching. Pattern Recognit. 62: 21-32 (2017) - [j4]Farshid Hajati, Mohammad Tavakolian, Soheila Gheisari, Yongsheng Gao, Ajmal S. Mian:
Dynamic Texture Comparison Using Derivative Sparse Representation: Application to Video-Based Face Recognition. IEEE Trans. Hum. Mach. Syst. 47(6): 970-982 (2017) - [c4]Soheila Gheisari, Daniel R. Catchpoole, Amanda Charlton, Paul J. Kennedy:
Patched Completed Local Binary Pattern is an Effective Method for Neuroblastoma Histological Image Classification. AusDM 2017: 57-71 - 2016
- [j3]Soheila Gheisari, Mohammad Reza Meybodi, Mehdi Dehghan, Mohammad Mehdi Ebadzadeh:
BNC-VLA: bayesian network structure learning using a team of variable-action set learning automata. Appl. Intell. 45(1): 135-151 (2016) - [j2]Soheila Gheisari, Mohammad Reza Meybodi:
LA-CWSN: A learning automata-based cognitive wireless sensor networks. Comput. Commun. 94: 46-56 (2016) - [j1]Soheila Gheisari, Mohammad Reza Meybodi:
BNC-PSO: structure learning of Bayesian networks by Particle Swarm Optimization. Inf. Sci. 348: 272-289 (2016) - 2014
- [c3]Farshid Hajati, Mohammad Tavakolian, Soheila Gheisari, Ajmal Saeed Mian:
Spatiotemporal Derivative Pattern: A Dynamic Texture Descriptor for Video Matching. ACCV (5) 2014: 626-641 - 2013
- [c2]Mohammad Tavakolian, Farshid Hajati, Ajmal S. Mian, Soheila Gheisari:
Sparse Variation Pattern for Texture Classification. DICTA 2013: 1-6 - [c1]Ali Cheraghian, Farshid Hajati, Ajmal S. Mian, Yongsheng Gao, Soheila Gheisari:
3D face recognition using topographic high-order derivatives. ICIP 2013: 3705-3709
Coauthor Index
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