Ali Hamzeh

Orcid: 0000-0001-9873-4122

According to our database1, Ali Hamzeh authored at least 95 papers between 2005 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Detecting Overlapping Communities in Complex Networks: An Evolutionary Label Propagation Approach.
Int. J. Inf. Technol. Decis. Mak., January, 2024

2023
Local community detection based on influence maximization in dynamic networks.
Appl. Intell., August, 2023

IFMD: image fusion for malware detection.
J. Comput. Virol. Hacking Tech., June, 2023

LBCIM: Loyalty Based Competitive Influence Maximization with epsilon-greedy MCTS strategy.
CoRR, 2023

A subgraphs-density based overlapping community detection algorithm for large-scale complex networks.
Computing, 2023

2022
A novel approach for ransomware detection based on PE header using graph embedding.
J. Comput. Virol. Hacking Tech., 2022

Ransomware Detection Based on PE Header Using Convolutional Neural Networks.
ISC Int. J. Inf. Secur., 2022

Using Negative Ideas as a Tool to Maximize Positive Influence in Trust Social Networks.
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2022

How to Boost the Performance of Recommender Systems by Social Trust? Studying the Challenges and Proposing a Solution.
IEEE Access, 2022

High-Dimensional Axis-Aligned Bounding Box with Outliers.
Proceedings of the 34th Canadian Conference on Computational Geometry, 2022

2021
A novel method for malware detection based on hardware events using deep neural networks.
J. Comput. Virol. Hacking Tech., 2021

Dynamic feature weighting for multi-label classification problems.
Prog. Artif. Intell., 2021

A PE header-based method for malware detection using clustering and deep embedding techniques.
J. Inf. Secur. Appl., 2021

FAIMCS: A fast and accurate influence maximization algorithm in social networks based on community structures.
Comput. Intell., 2021

Static Detection of Ransomware Using LSTM Network and PE Header.
Proceedings of the 26th International Computer Conference, Computer Society of Iran, 2021

2020
Parallel-CNN network for malware detection.
IET Inf. Secur., 2020

Screening COVID-19 Based on CT/CXR Images & Building a Publicly Available CT-scan Dataset of COVID-19.
CoRR, 2020

DL-Reg: A Deep Learning Regularization Technique using Linear Regression.
CoRR, 2020

A New Method for Ransomware Detection Based on PE Header Using Convolutional Neural Networks.
Proceedings of the 17th International ISC Conference on Information Security and Cryptology, 2020

2019
Visual malware detection using local malicious pattern.
J. Comput. Virol. Hacking Tech., 2019

Music classification as a new approach for malware detection.
J. Comput. Virol. Hacking Tech., 2019

Forming a well-connected team of experts based on a social network graph: a novel weighting approach.
Soc. Netw. Anal. Min., 2019

Competitive Influence Maximization: Integrating Budget Allocation and Seed Selection.
CoRR, 2019

A new approach for malware detection based on evolutionary algorithm.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

2018
Human Strategy (HS) Optimization Algorithm.
Soft Comput., 2018

Continuous state online influence maximization in social network.
Soc. Netw. Anal. Min., 2018

Domain invariant feature extraction against evasion attack.
Int. J. Mach. Learn. Cybern., 2018

FSIM: A Fast and Scalable Influence Maximization Algorithm Based on Community Detection.
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2018

Incremental community miner for dynamic networks.
Appl. Intell., 2018

Change-aware community detection approach for dynamic social networks.
Appl. Intell., 2018

2017
Graph embedding as a new approach for unknown malware detection.
J. Comput. Virol. Hacking Tech., 2017

Discovering the Hidden Structure of a Social Network: A Semi Supervised Approach.
IEEE Trans. Comput. Soc. Syst., 2017

Community detection in dynamic social networks: A local evolutionary approach.
J. Inf. Sci., 2017

Modelling information diffusion based on non-dominated friends in social networks.
J. Inf. Sci., 2017

Multi-objective perception model for diffusion of information in social networks.
Int. J. Data Min. Model. Manag., 2017

Using domain adaptation in adversarial environment.
Int. J. Data Min. Model. Manag., 2017

A heuristic local community detection method (HLCD).
Appl. Intell., 2017

Evaluation of random forest classifier in security domain.
Appl. Intell., 2017

Continuous states latency aware influence maximization in social networks.
AI Commun., 2017

2016
A PSO-based multi-robot cooperation method for target searching in unknown environments.
Neurocomputing, 2016

A coevolutionary approach to many objective optimization based on a novel ranking method.
Intell. Data Anal., 2016

A diversity control mechanism in many objective optimizations.
Appl. Intell., 2016

An efficient and fast influence maximization algorithm based on community detection.
Proceedings of the 12th International Conference on Natural Computation, 2016

Learning a Secure Classifier against Evasion Attack.
Proceedings of the IEEE International Conference on Data Mining Workshops, 2016

A parameter-free method for detecting local communities based on attainable information.
Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2016

2015
An enriched social behavioural information diffusion model in social networks.
J. Inf. Sci., 2015

A fuzzy based approach for fitness approximation in multi-objective evolutionary algorithms.
J. Intell. Fuzzy Syst., 2015

HC-MOEA: A hierarchical clustering approach for increasing the solution's diversity in multiobjective evolutionary algorithms.
Intell. Data Anal., 2015

Scaling up the hybrid Particle Swarm Optimization algorithm for nominal data-sets.
Intell. Data Anal., 2015

Trust based latency aware influence maximization in social networks.
Eng. Appl. Artif. Intell., 2015

Knowledge Representation in Learning Classifier Systems: A Review.
CoRR, 2015

An ensemble game theoretic approach for multi-objective optimization.
AI Commun., 2015

Team formation in social networks based on local distance metric.
Proceedings of the 12th International Conference on Fuzzy Systems and Knowledge Discovery, 2015

2014
Reducing the Computational Cost in Multi-objective Evolutionary Algorithms by Filtering Worthless Individuals.
CoRR, 2014

A Martingale Approach to Detect Peak of News in Social Network.
CoRR, 2014

A statistical approach for clustering in streaming data.
Artif. Intell. Res., 2014

2013
Using reinforcement learning to find an optimal set of features.
Comput. Math. Appl., 2013

An enriched game-theoretic framework for multi-objective clustering.
Appl. Soft Comput., 2013

Discovering overlapping communities in social networks: A novel game-theoretic approach.
AI Commun., 2013

Modeling information diffusion and community membership using stochastic optimization.
Proceedings of the Advances in Social Networks Analysis and Mining 2013, 2013

2012
A novel steganalysis for TPVD steganographic method based on differences of pixel difference histogram.
Multim. Tools Appl., 2012

SPCF: a stepwise partitioning for collaborative filtering to alleviate sparsity problems.
J. Inf. Sci., 2012

An Effective Framework for Fast Expert Mining in Collaboration Networks: A Group-Oriented and Cost-Based Method.
J. Comput. Sci. Technol., 2012

DBFS: An effective Density Based Feature Selection scheme for small sample size and high dimensional imbalanced data sets.
Data Knowl. Eng., 2012

A Novel Strategy Selection Method for Multi-Objective Clustering Algorithms Using Game Theory
CoRR, 2012

Using Noun Similarity to Adapt an Acceptability Measure for Persian Light Verb Constructions.
Proceedings of the Eighth International Conference on Language Resources and Evaluation, 2012

A levelwise spectral co-clustering algorithm for collaborative filtering.
Proceedings of the 6th International Conference on Ubiquitous Information Management and Communication, 2012

TeamFinder: A Co-clustering based Framework for Finding an Effective Team of Experts in Social Networks.
Proceedings of the 12th IEEE International Conference on Data Mining Workshops, 2012

A Game-Theoretic Framework to Identify Top-K Teams in Social Networks.
Proceedings of the KDIR 2012 - Proceedings of the International Conference on Knowledge Discovery and Information Retrieval, Barcelona, Spain, 4, 2012

A game theoretic framework for feature selection.
Proceedings of the 9th International Conference on Fuzzy Systems and Knowledge Discovery, 2012

Community Detection in Social Networks Using Information Diffusion.
Proceedings of the International Conference on Advances in Social Networks Analysis and Mining, 2012

Link Prediction in Social Network Using Co-clustering Based Approach.
Proceedings of the 26th International Conference on Advanced Information Networking and Applications Workshops, 2012

Harmony-Based Feature Weighting to Improve the Nearest Neighbor Classification.
Proceedings of the Advances in Computing and Information Technology - Proceedings of the Second International Conference on Advances in Computing and Information Technology (ACITY) July 13-15, 2012, Chennai, India, 2012

2011
CBDL: Context-based distance learning for categorical attributes.
Int. J. Intell. Syst., 2011

A Precise Statistical approach for concept change detection in unlabeled data streams.
Comput. Math. Appl., 2011

An Effective Expert Team Formation in Social Networks Based on Skill Grading.
Proceedings of the Data Mining Workshops (ICDMW), 2011

Towards final rule set reduction in XCS: a fuzzy representation approach.
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

Voting based learning classifier system for multi-label classification.
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

Anomaly Detection in Categorical Datasets Using Bayesian Networks.
Proceedings of the Artificial Intelligence and Computational Intelligence, 2011

Detecting Overlapping Communities in Social Networks by Game Theory and Structural Equivalence Concept.
Proceedings of the Artificial Intelligence and Computational Intelligence, 2011

2010
To Handle Real Valued Input in XCS: Using Fuzzy Hyper-trapezoidal Membership in Classifier Condition.
Proceedings of the Simulated Evolution and Learning - 8th International Conference, 2010

Towards Efficient and Effective Negative Selection Algorithm: A Convex Hull Representation Scheme.
Proceedings of the Simulated Evolution and Learning - 8th International Conference, 2010

Malware detection based on mining API calls.
Proceedings of the 2010 ACM Symposium on Applied Computing (SAC), 2010

2009
Agent Based Decision Tree Learning: a Novel Approach.
Int. J. Softw. Eng. Knowl. Eng., 2009

A Recursive Classifier System for Partially Observable Environments.
Fundam. Informaticae, 2009

Improving Security of Pixel Value Differencing Steganographic Method.
Proceedings of the NTMS 2009, 2009

A Grid Based Cooperative Co-evolutionary Multi-Objective Algorithm.
Proceedings of the Artificial Intelligence and Computational Intelligence, 2009

2008
Approximating Arbitrary Reinforcement Signal by Learning Classifier Systems using Micro Genetic Algorithm.
Fundam. Informaticae, 2008

A New Architecture for Learning Classifier Systems to Solve POMDP Problems.
Fundam. Informaticae, 2008

2007
A New Architecture of XCS to Approximate Real-Valued Functions Based on High Order Polynomials Using Variable-Length GA.
Proceedings of the Third International Conference on Natural Computation, 2007

2006
A Pattern Based Evolutionary Approach to Prediction Computation in XCSF.
Proceedings of the Advances in Natural Computation, Second International Conference, 2006

Extending XCSFG beyond Linear Approximation.
Proceedings of the IEEE International Conference on Evolutionary Computation, 2006

2005
A Fuzzy System to Control Exploration Rate in XCS.
Proceedings of the Learning Classifier Systems, International Workshops, 2005

Intelligent exploration method for XCS.
Proceedings of the Genetic and Evolutionary Computation Conference, 2005

An Evolutionary Function Approximation Approach to Compute Prediction in XCSF.
Proceedings of the Machine Learning: ECML 2005, 2005


  Loading...