Hossam Faris
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Researcher, ORCID id # 0000-0003-4261-8127
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Hossam Fariscomputer-science Degrees
Computer Science
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Computer Engineering
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#140
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Data Science
#246
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Algorithms
#406
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#411
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Computer Science
Why Is Hossam Faris Influential?
(Suggest an Edit or Addition)Hossam Faris's Published Works
Number of citations in a given year to any of this author's works
Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author
Published Works
- Salp Swarm Algorithm: A bio-inspired optimizer for engineering design problems (2017) (2677)
- Harris hawks optimization: Algorithm and applications (2019) (2418)
- Optimizing connection weights in neural networks using the whale optimization algorithm (2018) (540)
- Grey wolf optimizer: a review of recent variants and applications (2018) (467)
- An efficient binary Salp Swarm Algorithm with crossover scheme for feature selection problems (2018) (450)
- Grasshopper optimization algorithm for multi-objective optimization problems (2018) (446)
- Evolutionary Population Dynamics and Grasshopper Optimization approaches for feature selection problems (2017) (336)
- Binary grasshopper optimisation algorithm approaches for feature selection problems (2019) (294)
- Binary dragonfly optimization for feature selection using time-varying transfer functions (2018) (282)
- An efficient hybrid multilayer perceptron neural network with grasshopper optimization (2018) (211)
- An intelligent system for spam detection and identification of the most relevant features based on evolutionary Random Weight Networks (2019) (201)
- A multi-verse optimizer approach for feature selection and optimizing SVM parameters based on a robust system architecture (2018) (192)
- Training feedforward neural networks using multi-verse optimizer for binary classification problems (2016) (185)
- Simultaneous Feature Selection and Support Vector Machine Optimization Using the Grasshopper Optimization Algorithm (2018) (177)
- Asynchronous accelerating multi-leader salp chains for feature selection (2018) (166)
- An evolutionary gravitational search-based feature selection (2019) (143)
- Unsupervised intelligent system based on one class support vector machine and Grey Wolf optimization for IoT botnet detection (2020) (123)
- An enhanced associative learning-based exploratory whale optimizer for global optimization (2019) (115)
- Evolving Support Vector Machines using Whale Optimization Algorithm for spam profiles detection on online social networks in different lingual contexts (2018) (105)
- A Comparison between Regression, Artificial Neural Networks and Support Vector Machines for Predicting Stock Market Index (2015) (105)
- Improved monarch butterfly optimization for unconstrained global search and neural network training (2018) (99)
- Training radial basis function networks using biogeography-based optimizer (2018) (97)
- Genetic Algorithm: Theory, Literature Review, and Application in Image Reconstruction (2019) (94)
- MTDE: An effective multi-trial vector-based differential evolution algorithm and its applications for engineering design problems (2020) (93)
- Efficient Hybrid Nature-Inspired Binary Optimizers for Feature Selection (2019) (92)
- Salp Swarm Algorithm: Theory, Literature Review, and Application in Extreme Learning Machines (2019) (90)
- Feature selection using binary grey wolf optimizer with elite-based crossover for Arabic text classification (2019) (88)
- Ant Lion Optimizer: Theory, Literature Review, and Application in Multi-layer Perceptron Neural Networks (2019) (88)
- Improving Extreme Learning Machine by Competitive Swarm Optimization and its application for medical diagnosis problems (2018) (82)
- Time-varying hierarchical chains of salps with random weight networks for feature selection (2020) (75)
- Bat-inspired algorithms with natural selection mechanisms for global optimization (2018) (74)
- EvoloPy: An Open-source Nature-inspired Optimization Framework in Python (2016) (74)
- Natural selection methods for Grey Wolf Optimizer (2018) (68)
- Clustering analysis using a novel locality-informed grey wolf-inspired clustering approach (2019) (68)
- Optimizing the Learning Process of Feedforward Neural Networks Using Lightning Search Algorithm (2016) (66)
- Feature Selection Using Salp Swarm Algorithm with Chaos (2018) (66)
- Automatic selection of hidden neurons and weights in neural networks using grey wolf optimizer based on a hybrid encoding scheme (2019) (66)
- River suspended sediment load prediction based on river discharge information: application of newly developed data mining models (2020) (64)
- Dragonfly Algorithm: Theory, Literature Review, and Application in Feature Selection (2019) (62)
- Multi-verse Optimizer: Theory, Literature Review, and Application in Data Clustering (2019) (58)
- Optimizing Software Effort Estimation Models Using Firefly Algorithm (2015) (55)
- Evolutionary static and dynamic clustering algorithms based on multi-verse optimizer (2018) (53)
- Binary multi-verse optimization algorithm for global optimization and discrete problems (2019) (52)
- Grey Wolf Optimizer: Theory, Literature Review, and Application in Computational Fluid Dynamics Problems (2019) (52)
- Optimizing Feedforward neural networks using Krill Herd algorithm for E-mail spam detection (2015) (51)
- Improving financial bankruptcy prediction in a highly imbalanced class distribution using oversampling and ensemble learning: a case from the Spanish market (2019) (51)
- A dynamic locality multi-objective salp swarm algorithm for feature selection (2020) (50)
- An efficient hybrid filter and evolutionary wrapper approach for sentiment analysis of various topics on Twitter (2020) (46)
- Hybrid Data Mining Models for Predicting Customer Churn (2015) (46)
- Chapter 28 – Evolving Radial Basis Function Networks Using Moth–Flame Optimizer (2017) (44)
- Feature engineering for detecting spammers on Twitter: Modelling and analysis (2018) (44)
- Predicting Customer Churn in Telecom Industry using Multilayer Preceptron Neural Networks : Modeling and Analysis (2014) (44)
- Hybridized Extreme Learning Machine Model with Salp Swarm Algorithm: A Novel Predictive Model for Hydrological Application (2020) (43)
- Prediction of PM10 and TSP Air Pollution Parameters Using Artificial Neural Network Autoregressive, External Input Models: A Case Study in Salt, Jordan (2013) (40)
- Intelligent detection of hate speech in Arabic social network: A machine learning approach (2020) (39)
- An Improved Genetic Algorithm with a New Initialization Mechanism Based on Regression Techniques (2018) (38)
- Data Security Issues and Challenges in Cloud Computing: A Conceptual Analysis and Review (2014) (38)
- Improving Knowledge Based Spam Detection Methods: The Effect of Malicious Related Features in Imbalance Data Distribution (2015) (34)
- Augmented whale feature selection for IoT attacks: Structure, analysis and applications (2020) (34)
- A binary multi-verse optimizer for 0-1 multidimensional knapsack problems with application in interactive multimedia systems (2019) (33)
- Salp Chain-Based Optimization of Support Vector Machines and Feature Weighting for Medical Diagnostic Information Systems (2019) (33)
- Relational Learning Analysis of Social Politics using Knowledge Graph Embedding (2020) (32)
- An efficient clustering algorithm based on the k-nearest neighbors with an indexing ratio (2019) (32)
- Artificial Neural Networks for Surface Ozone Prediction: Models and Analysis (2014) (32)
- Metaheuristic-based extreme learning machines: a review of design formulations and applications (2018) (31)
- A Hybrid Approach Based on Particle Swarm Optimization and Random Forests for E-Mail Spam Filtering (2016) (31)
- A Multi-Stage Classification Approach for IoT Intrusion Detection Based on Clustering with Oversampling (2021) (29)
- Applying computational intelligence methods for predicting the sales of newly published books in a real editorial business management environment (2017) (28)
- Adaptive $$\beta -$$β-hill climbing for optimization (2019) (28)
- Hate Speech Detection using Word Embedding and Deep Learning in the Arabic Language Context (2020) (27)
- Hybrid SMOTE-Ensemble Approach for Software Defect Prediction (2017) (26)
- Identifying β-thalassemia carriers using a data mining approach: The case of the Gaza Strip, Palestine (2018) (26)
- Evolving neural networks using bird swarm algorithm for data classification and regression applications (2019) (26)
- Modelling hot rolling manufacturing process using soft computing techniques (2013) (25)
- A Genetic Programming Based Framework for Churn Prediction in Telecommunication Industry (2014) (25)
- Improving email spam detection using content based feature engineering approach (2017) (25)
- Bidirectional reservoir networks trained using SVM$$+$$+ privileged information for manufacturing process modeling (2017) (24)
- Android Ransomware Detection Based on a Hybrid Evolutionary Approach in the Context of Highly Imbalanced Data (2021) (24)
- Software Defect Prediction Using Heterogeneous Ensemble Classification Based on Segmented Patterns (2020) (24)
- EvoCluster: An Open-Source Nature-Inspired Optimization Clustering Framework (2020) (24)
- A Multi-Layer Classification Approach for Intrusion Detection in IoT Networks Based on Deep Learning (2021) (23)
- Fraud Detection Model Based on Multi-Verse Features Extraction Approach for Smart City Applications (2019) (23)
- Cycle reservoir with regular jumps for forecasting ozone concentrations: two real cases from the east of Croatia (2018) (22)
- A Hybrid Swarm Intelligent Neural Network Model for Customer Churn Prediction and Identifying the Influencing Factors (2018) (21)
- Optimizing Extreme Learning Machines Using Chains of Salps for Efficient Android Ransomware Detection (2020) (21)
- A Modified Multi-objective Particle Swarm Optimizer-Based Lévy Flight: An Approach Toward Intrusion Detection in Internet of Things (2020) (21)
- Customer churn prediction using a hybrid genetic programming approach (2013) (20)
- Business Analytics in Telemarketing: Cost-Sensitive Analysis of Bank Campaigns Using Artificial Neural Networks (2020) (20)
- Optimizing Feedforward Neural Networks Using Biogeography Based Optimization for E-Mail Spam Identification (2016) (20)
- Spam profiles detection on social networks using computational intelligence methods: The effect of the lingual context (2019) (20)
- Nature-Inspired Metaheuristics Search Algorithms for Solving the Economic Load Dispatch Problem of Power System: A Comparison Study (2019) (20)
- Negative Correlation Learning for Customer Churn Prediction: A Comparison Study (2015) (20)
- An intelligent evolutionary extreme gradient boosting algorithm development for modeling scour depths under submerged weir (2021) (19)
- Multi-objective Particle Swarm Optimization for Botnet Detection in Internet of Things (2019) (18)
- Intelligent system based on data mining techniques for prediction of preterm birth for women with cervical cerclage (2020) (17)
- Multi-objective Particle Swarm Optimization: Theory, Literature Review, and Application in Feature Selection for Medical Diagnosis (2019) (17)
- Evolutionary inspired approach for mental stress detection using EEG signal (2022) (15)
- Improving production quality of a hot-rolling industrial process via genetic programming model (2014) (15)
- MGP–CC: a hybrid multigene GP–Cuckoo search method for hot rolling manufacture process modelling (2016) (15)
- Evolutionary competitive swarm exploring optimal support vector machines and feature weighting (2021) (15)
- Neighborhood Cleaning Rules and Particle Swarm Optimization for Predicting Customer Churn Behavior in Telecom Industry (2014) (15)
- Sentiment analysis for Arabic language: A brief survey of approaches and techniques (2018) (15)
- An efficient evolutionary algorithm with a nearest neighbor search technique for clustering analysis (2020) (14)
- Oriented stochastic loss descent algorithm to train very deep multi-layer neural networks without vanishing gradients (2021) (14)
- A comparison between parametric and non-parametric soft computing approaches to model the temperature of a metal cutting tool (2016) (14)
- Evolutionary Machine Learning Techniques (2020) (14)
- Mobile Based Learning and Examination: Students and Instructors Perceptions from Different Arab Countries (2013) (14)
- Voting-based Classification for E-mail Spam Detection (2016) (14)
- Echo State Network with SVM-readout for customer churn prediction (2015) (13)
- Cost-sensitive ensemble methods for bankruptcy prediction in a highly imbalanced data distribution: a real case from the Spanish market (2020) (13)
- Android botnet detection using machine learning models based on a comprehensive static analysis approach (2021) (13)
- Toward a Detection Framework for Android Botnet (2017) (13)
- A parallel metaheuristic approach for ensemble feature selection based on multi-core architectures (2021) (13)
- Medical speciality classification system based on binary particle swarms and ensemble of one vs. rest support vector machines (2020) (13)
- Identification of the Tennessee Eastman Chemical Process Reactor Using Genetic Programming (2013) (12)
- Teaching Learning-Based Optimization With Evolutionary Binarization Schemes for Tackling Feature Selection Problems (2021) (12)
- Credit Risk Evaluation Using Cycle Reservoir Neural Networks with Support Vector Machines Readout (2016) (12)
- Impact of Internet Advertisement and Its Features on E-Commerce Retail Sales: Evidence from Europe (2013) (11)
- Sentiment Analysis for e-Payment Service Providers Using Evolutionary eXtreme Gradient Boosting (2020) (11)
- A Genetic Programming Model for S&P 500 Stock Market Prediction (2013) (11)
- Adaptiveˇ−hill climbing for optimization (2019) (11)
- A Survey of Concepts Location Enhancement for Program Comprehension and Maintenance (2014) (11)
- Pattern Recognition of Thermal Images for Monitoring of Breathing Function (2015) (10)
- Forecasting ozone concentrations in the east of Croatia using nonparametric Neural Network Models (2016) (10)
- An evolutionary optimized artificial intelligence model for modeling scouring depth of submerged weir (2020) (9)
- A competitive swarm optimizer with hybrid encoding for simultaneously optimizing the weights and structure of Extreme Learning Machines for classification problems (2020) (9)
- EvoImputer: An evolutionary approach for Missing Data Imputation and feature selection in the context of supervised learning (2021) (9)
- Automatic Email Spam Detection using Genetic Programming with SMOTE (2018) (9)
- Forecasting global carbon dioxide emission using auto-regressive with eXogenous input and evolutionary product unit neural network models (2015) (8)
- A modified bond energy algorithm with fuzzy merging and its application to Arabic text document clustering (2020) (8)
- A Classification Approach Based on Evolutionary Clustering and Its Application for Ransomware Detection (2021) (8)
- An intelligent multimodal medical diagnosis system based on patients’ medical questions and structured symptoms for telemedicine (2021) (8)
- Link Prediction Using Evolutionary Neural Network Models (2019) (8)
- Neuro-evolutionary models for imbalanced classification problems (2020) (8)
- Framework and Implementation of a Knowledge Management System for Aerospace Collaborative Working Environments (2011) (8)
- Sentiment Analysis of Customers’ Reviews Using a Hybrid Evolutionary SVM-Based Approach in an Imbalanced Data Distribution (2022) (8)
- Empirical Evaluation of Distance Measures for Nearest Point with Indexing Ratio Clustering Algorithm (2020) (7)
- Evolutionary and Swarm-Based Feature Selection for Imbalanced Data Classification (2019) (7)
- Initializing Genetic Programming using Fuzzy Clustering and its Application in Churn Prediction in the Telecom Industry (2015) (7)
- A Predictive Text System for Medical Recommendations in Telemedicine: A Deep Learning Approach in the Arabic Context (2021) (7)
- Empirical Evaluation of the Cycle Reservoir with Regular Jumps for Time Series Forecasting: A Comparison Study (2017) (6)
- An Automatic Course Scheduling Approach Using Instructors' Preferences (2012) (5)
- The Influence of Input Data Standardization Methods on the Prediction Accuracy of Genetic Programming Generated Classifiers (2018) (5)
- AltibbiVec: A Word Embedding Model for Medical and Health Applications in the Arabic Language (2021) (5)
- Introduction to Evolutionary Machine Learning Techniques (2019) (5)
- Developing Trip Generation Rates for Hospitals in Amman (2014) (5)
- Classification of Arabic healthcare questions based on word embeddings learned from massive consultations: a deep learning approach (2021) (5)
- Grey wolf optimizer: a review of recent variants and applications (2017) (5)
- A cooperative coevolutionary method for optimizing random weight networks and its application for medical classification problems (2020) (4)
- F ermentation Process Modeling Using Takagi-Sugeno Fuzzy Model (2012) (4)
- Improving Knowledge Handling by Building Intelligent Systems Using Social Agent Modelling (2009) (4)
- On Computerizing the Ancient Game of Ṭāb (2018) (4)
- A Robust Multi-Objective Feature Selection Model Based on Local Neighborhood Multi-Verse Optimization (2021) (4)
- Total Dissolved Salt Prediction Using Neurocomputing Models: Case Study of Gypsum Soil Within Iraq Region (2021) (4)
- Toward an Automatic Quality Assessment of Voice-Based Telemedicine Consultations: A Deep Learning Approach (2021) (4)
- AutoRWN: automatic construction and training of random weight networks using competitive swarm of agents (2020) (4)
- Users Profiling Using Clickstream Data Analysis and Classification (2016) (4)
- Optimizing connection weights in neural networks using the whale optimization algorithm (2016) (3)
- Optimizing Thermostable Enzymes Production Using Multigene Symbolic Regression Genetic Programming (2013) (3)
- Influence of Nitrogen-di-Oxide, Temperature and Relative Humidity on Surface Ozone Modeling Process Using Multigene Symbolic Regression Genetic Programming (2015) (3)
- Robotics Evolution: from Remote Brain to Cloud (2019) (3)
- Evolving Genetic Programming Models for Predicting Quantities of Adhesive Wear in Low and Medium Carbon Steel (2019) (3)
- An Evolutionary-based Random Weight Networks with Taguchi Method for Arabic Web Pages Classification (2021) (3)
- Forecasting Business Failure in Highly Imbalanced Distribution based on Delay Line Reservoir (2018) (3)
- Predicting Different Types of Imbalanced Intrusion Activities Based on a Multi-Stage Deep Learning Approach (2021) (3)
- Identification of players' positions in a multi-agent game using artificial neural networks and C4.5 algorithm: A comparative study (2013) (2)
- Towards Automated Comprehensive Feature Engineering for Spam Detection (2019) (2)
- Predicting Stock Market Exchange Prices for the Reserve Bank of Australia Using Auto-Regressive Feedforward Neural Network Model (2015) (2)
- Dead Sea Water Level and Surface Area Monitoring Using Spatial Data Extraction from Remote Sensing Images (2013) (2)
- EMFET: E-mail Features Extraction Tool (2017) (2)
- A Comprehensive Review of Evaluation and Fitness Measures for Evolutionary Data Clustering (2021) (2)
- Estimating ARMA Model Parameters of an Industrial Process Using Meta-Heuristic Search Algorithms (2018) (2)
- A Grey Wolf-Based Clustering Algorithm for Medical Diagnosis Problems (2021) (2)
- Predicting Surface Ozone Concentrations using Support Vector Regression (2014) (2)
- Visualization analysis of feed forward neural network input contribution (2014) (2)
- Evaluation of Spatial Image Processing Approaches for Calculating Water Surface Area : Case of the Dead Sea (2014) (2)
- Automatic symptoms identification from a massive volume of unstructured medical consultations using deep neural and BERT models (2022) (1)
- Introduction to Evolutionary Data Clustering and Its Applications (2021) (1)
- An Intelligent Approach for the Effect of Social Media on Undergraduate Students Performance: A Case Study in the University of Jordan (2020) (1)
- An enhanced associative learning-based exploratory whale optimizer for global optimization (2019) (1)
- Cost-Sensitive Metaheuristic Optimization-Based Neural Network with Ensemble Learning for Financial Distress Prediction (2022) (1)
- Offensive Language Detection in Arabic Social Networks Using Evolutionary-Based Classifiers Learned From Fine-Tuned Embeddings (2022) (1)
- Spam Reviews Detection in the Time of COVID-19 Pandemic: Background, Definitions, Methods and Literature Analysis (2022) (1)
- Demystifying echo state network with deterministic simple topologies (2019) (1)
- SHAPING AN EXPERTS LOCATOR SYSTEM: RECOMMENDING THE RIGHT EXPERT (2014) (1)
- Corporate e-Learning Environment Using Concept Maps: a Case Study (2013) (1)
- Evolutionary competitive swarm exploring optimal support vector machines and feature weighting (2021) (1)
- Developing and Calibrating Single-Regime Traffic Flow Models for Urban Multi-Lane Roads (2014) (0)
- Training radial basis function networks using biogeography-based optimizer (2016) (0)
- A multi-verse optimizer approach for feature selection and optimizing SVM parameters based on a robust system architecture (2017) (0)
- EvoCC: An Open-Source Classification-Based Nature-Inspired Optimization Clustering Framework in Python (2022) (0)
- Identifying Botnets by Analysing Twitter Traffic during the Super Bowl (2020) (0)
- Correction to: Evolutionary competitive swarm exploring optimal support vector machines and feature weighting (2021) (0)
- Prediction of Hysteresis Loop of Barium Hexaferrite Nanoparticles Based on Neuroevolutionary Models (2021) (0)
- Contributors (2019) (0)
- On Symbolic Regression for Optimizing Thermostable Lipase Production (2014) (0)
- Developing Population Behavioral Parameters Influencing Earthquake Disaster Preparedness and Planning : A Genetic Algorithm Approach (2015) (0)
- prediction using Genetic Programming : A Case Study in Salt , Jordan (2014) (0)
- Correction to: Evolutionary competitive swarm exploring optimal support vector machines and feature weighting (2021) (0)
- AN SQL EXTENSION FOR LATENT SEMANTIC ANALYSIS (2011) (0)
- An efficient hybrid multilayer perceptron neural network with grasshopper optimization (2018) (0)
- Telecom Industry using Multilayer Preceptron Neural Networks : Modeling and Analysis (2016) (0)
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What Schools Are Affiliated With Hossam Faris?
Hossam Faris is affiliated with the following schools: