مقالات سال 2023
عنوان مقاله :Ensemble of loss functions to improve generalizability of deep metric learning methods
عنوان نشریه : Multimedia Tools and Applications
مقالات سال 2022
عنوان مقاله :low-rank robust online distance/similarity learning based on the rescaled hinge loss
عنوان نشریه :Applied Intelligence
عنوان مقاله :Population-based self-adaptive Generalised Masi Entropy for image segmentation: A novel representation
عنوان نشریه :Knowledge-Based Systems
مقالات سال 2021
عنوان مقاله :An Autonomous UAV-Assisted Distance-Aware Crowd Sensing Platform Using Deep ShuffleNet Transfer Learning
عنوان نشریه : IEEE Transactions on Intelligent Transportation Systems
عنوان مقاله :A Grouping Differential Evolution Algorithm Boosted by Attraction and Repulsion Strategies for Masi Entropy-Based Multi-Level Image Segmentation
عنوان نشریه :entropy
عنوان مقاله :Biomarker discovery by imperialist competitive algorithm in mass spectrometry data for ovarian cancer prediction
عنوان نشریه :Journal of Medical Signal & Sensors
عنوان مقاله :An efficient method to minimize cross-entropy for selecting multi-level threshold values using an improved human mental search algorithm
عنوان نشریه :Expert Systems with Applications
مقالات سال 2020
عنوان مقاله :Automatic clustering using a local search-based human mental search algorithm for image segmentation
عنوان نشریه :Applied Soft Computing
عنوان مقاله :Human mental search-based multilevel thresholding for image segmentation
عنوان نشریه :Applied Soft Computing
مقالات سال 2019
عنوان مقاله :Effective image clustering based on human mental search
عنوان نشریه :Applied Soft Computing
مقالات سال 2018
عنوان مقاله :Multilevel image thresholding using entropy of histogram and recently developed population-based metaheuristic algorithms
عنوان نشریه :Evolutionary Intelligence
مقالات سال 2017
عنوان مقاله :Human mental search: a new population-based metaheuristic optimization algorithm
عنوان نشریه :Evolutionary Intelligence
عنوان مقاله :A Levy flight-based grey wolf optimizer combined with back-propagation algorithm for neural network training
عنوان نشریه :Neural Computing and Applications
مقالات سال 2021
An LSTM-Based Plagiarism Detection via Attention Mechanism and a Population-Based Approach for Pre-training Parameters with Imbalanced Classes
International Conference on Neural Information Processing ، 2021-12-12
An Effective Approach for Neural Network Training Based on Comprehensive Learning
25th International Conference on Pattern Recognition (ICPR) ، 2021-05-22
RDE-OP: A Region-Based Differential Evolution Algorithm Incorporation Opposition-Based Learning for Optimising the Learning Process of Multi-layer Neural Networks
24th International Conference on Applications of Evolutionary Computation ، 2021-04-12
مقالات سال 2020
Enhancing SHADE and L-SHADE Algorithms Using Ordered Mutation
IEEE Symposium Series on Computational Intelligence (SSCI) ، 2020-12-04
Evolving Feedforward Neural Networks Using a Quasi-Opposition-Based Differential Evolution for Data Classification
IEEE Symposium Series on Computational Intelligence (SSCI) ، 2020-12-04
