Effect of Similar Behaving Attributes in Mining of Fuzzy Association Rules in the Large Databases. - Zahra Farzanyar; Mohammad Reza Kangavari 001; Sattar Hashemi (ICCSA (1), 2006)

A New Algorithm for Mining Fuzzy Association Rules in the Large Databases Based on Ontology. - Zahra Farzanyar; Mohammad Reza Kangavari 001; Sattar Hashemi (ICDM Workshops, 2006)

An Efficient Distributed Algorithm for Mining Association Rules. - Zahra Farzanyar; Mohammad Reza Kangavari 001; Sattar Hashemi (ISPA, 2006)

To Better Handle Concept Change and Noise: A Cellular Automata Approach to Data Stream Classification. - Sattar Hashemi; Ying Yang 001; Majid Pourkashani; Mohammad Reza Kangavari 001 (Australian Conference on Artificial Intelligence, 2007)

Flexible Classifier Selection for Accuracy-Based Classifier Systems. - Mashall Aryan; Sattar Hashemi; Morteza Analoui (IMECS, 2007)

Detecting intrusion transactions in databases using data item dependencies and anomaly analysis. - Sattar Hashemi; Ying Yang 001; Davoud Zabihzadeh; Mohammad Reza Kangavari 001 (Expert Syst. J. Knowl. Eng., 2008)

Class Specific Fuzzy Decision Trees for Mining High Speed Data Streams. - Sattar Hashemi; Mohammad Reza Kangavari 001; Ying Yang 001 (Fundam. Informaticae, 2008)

Automatic Refinement of Platform Independent Models Using Graph Transformation System. - Sattar Hashemi; M. R. ZadMiralvad (FCST, 2009)

Flexible decision tree for data stream classification in the presence of concept change, noise and missing values. - Sattar Hashemi; Ying Yang 001 (Data Min. Knowl. Discov., 2009)

A Recursive Classifier System for Partially Observable Environments. - Ali Hamzeh; Sattar Hashemi; Ashkan Sami; Adel Rahmani (Fundam. Informaticae, 2009)

Agent Based Decision Tree Learning: a Novel Approach. - Mohsen Rahmani; Sattar Hashemi; Ali Hamzeh; Ashkan Sami (Int. J. Softw. Eng. Knowl. Eng., 2009)

Adapted One-versus-All Decision Trees for Data Stream Classification. - Sattar Hashemi; Ying Yang 001; Zahra Mirzamomen; Mohammad Reza Kangavari 001 (IEEE Trans. Knowl. Data Eng., 2009)

Malware detection based on mining API calls. - Ashkan Sami; Babak Yadegari; Hossein Rahimi; Naser Peiravian; Sattar Hashemi; Ali Hamzeh (SAC, 2010)

Towards Efficient and Effective Negative Selection Algorithm: A Convex Hull Representation Scheme. - Mahshid Majd; Farzaneh Shoeleh; Ali Hamzeh; Sattar Hashemi (SEAL, 2010)

To Handle Real Valued Input in XCS: Using Fuzzy Hyper-trapezoidal Membership in Classifier Condition. - Farzaneh Shoeleh; Ali Hamzeh; Sattar Hashemi (SEAL, 2010)

Detecting Overlapping Communities in Social Networks by Game Theory and Structural Equivalence Concept. - Hamidreza Alvari; Sattar Hashemi; Ali Hamzeh (AICI (2), 2011)

Anomaly Detection in Categorical Datasets Using Bayesian Networks. - Lida Rashidi; Sattar Hashemi; Ali Hamzeh (AICI (2), 2011)

Voting based learning classifier system for multi-label classification. - Kaveh Ahmadi Abhari; Ali Hamzeh; Sattar Hashemi (GECCO (Companion), 2011)

Towards final rule set reduction in XCS: a fuzzy representation approach. - Farzaneh Shoeleh; Ali Hamzeh; Sattar Hashemi (GECCO, 2011)

An Effective Expert Team Formation in Social Networks Based on Skill Grading. - Farnoush Farhadi; Maryam Sorkhi; Sattar Hashemi; Ali Hamzeh (ICDM Workshops, 2011)

A Precise Statistical approach for concept change detection in unlabeled data streams. - Niloofar Mozafari; Sattar Hashemi; Ali Hamzeh (Comput. Math. Appl., 2011)

CBDL: Context-based distance learning for categorical attributes. - Zeinab Khorshidpour; Sattar Hashemi; Ali Hamzeh (Int. J. Intell. Syst., 2011)

Incorporating Hierarchical Information into the Matrix Factorization Model for Collaborative Filtering. - Ali Mashhoori; Sattar Hashemi (ACIIDS (3), 2012)

Improving Nearest Neighbor Classification by Elimination of Noisy Irrelevant Features. - M. Javad Zomorodian; Ali Adeli; Mehrnoosh Sinaee; Sattar Hashemi (ACIIDS (2), 2012)

Link Prediction in Social Network Using Co-clustering Based Approach. - Elham Hoseini; Sattar Hashemi; Ali Hamzeh (AINA Workshops, 2012)

Community Detection in Social Networks Using Information Diffusion. - Alireza Hajibagheri; Hamidreza Alvari; Ali Hamzeh; Sattar Hashemi (ASONAM, 2012)

To Incorporate Sequential Dynamic Features in Malware Detection Engines. - Mojtaba Eskandari; Zeinab Khorshidpour; Sattar Hashemi (EISIC, 2012)

A General Paradigm for Normalizing Metamorphic Malwares. - Seyed Emad Armoun; Sattar Hashemi (FIT, 2012)

A game theoretic framework for feature selection. - Seyed Mehdi Hazrati Fard; Ali Hamzeh; Sattar Hashemi (FSKD, 2012)

A Game-Theoretic Framework to Identify Top-K Teams in Social Networks. - Maryam Sorkhi; Hamidreza Alvari; Sattar Hashemi; Ali Hamzeh (KDIR, 2012)

TeamFinder: A Co-clustering based Framework for Finding an Effective Team of Experts in Social Networks. - Farnoush Farhadi; Elham Hoseini; Sattar Hashemi; Ali Hamzeh (ICDM Workshops, 2012)

A levelwise spectral co-clustering algorithm for collaborative filtering. - Elham Hoseini; Sattar Hashemi; Ali Hamzeh (ICUIMC, 2012)

Towards a variable size sliding window model for frequent itemset mining over data streams. - Mahmood Deypir; Mohammad Hadi Sadreddini; Sattar Hashemi (Comput. Ind. Eng., 2012)

Dispelling Classes Gradually to Improve Quality of Feature Reduction Approaches - Shervan Fekri Ershad; Sattar Hashemi (CoRR, 2012)

A Novel Strategy Selection Method for Multi-Objective Clustering Algorithms Using Game Theory - Mahsa Badami; Ali Hamzeh; Sattar Hashemi (CoRR, 2012)

DBFS: An effective Density Based Feature Selection scheme for small sample size and high dimensional imbalanced data sets. - Mina Alibeigi; Sattar Hashemi; Ali Hamzeh (Data Knowl. Eng., 2012)

An Effective Framework for Fast Expert Mining in Collaboration Networks: A Group-Oriented and Cost-Based Method. - Farnoush Farhadi; Maryam Sorkhi; Sattar Hashemi; Ali Hamzeh (J. Comput. Sci. Technol., 2012)

SPCF: a stepwise partitioning for collaborative filtering to alleviate sparsity problems. - Elham Hoseini; Sattar Hashemi; Ali Hamzeh (J. Inf. Sci., 2012)

ECFGM: enriched control flow graph miner for unknown vicious infected code detection. - Mojtaba Eskandari; Sattar Hashemi (J. Comput. Virol., 2012)

A graph mining approach for detecting unknown malwares. - Mojtaba Eskandari; Sattar Hashemi (J. Vis. Lang. Comput., 2012)

GAB-EPA: A GA Based Ensemble Pruning Approach to Tackle Multiclass Imbalanced Problems. - Lida Abdi; Sattar Hashemi (ACIIDS (1), 2013)

Road Traffic Prediction Using Context-Aware Random Forest Based on Volatility Nature of Traffic Flows. - Narjes Zarei; Mohammad Ali Ghayour; Sattar Hashemi (ACIIDS (1), 2013)

To Boost Graph Clustering Based on Power Iteration by Removing Outliers. - Amin Azmoodeh; Sattar Hashemi (DaEng, 2013)

Mining Jumping Emerging Patterns by Streaming Feature Selection. - Fatemeh Alavi; Sattar Hashemi (KSE (2), 2013)

An Ensemble Pruning Approach Based on Reinforcement Learning in Presence of Multi-class Imbalanced Data. - Lida Abdi; Sattar Hashemi (SocProS (1), 2013)

Discovering overlapping communities in social networks: A novel game-theoretic approach. - Hamidreza Alvari; Sattar Hashemi; Ali Hamzeh (AI Commun., 2013)

An enriched game-theoretic framework for multi-objective clustering. - Mahsa Badami; Ali Hamzeh; Sattar Hashemi (Appl. Soft Comput., 2013)

Using reinforcement learning to find an optimal set of features. - Seyed Mehdi Hazrati Fard; Ali Hamzeh; Sattar Hashemi (Comput. Math. Appl., 2013)

HDM-Analyser: a hybrid analysis approach based on data mining techniques for malware detection. - Mojtaba Eskandari; Zeinab Khorshidpour; Sattar Hashemi (J. Comput. Virol. Hacking Tech., 2013)

Multi-Document Summarization Using Graph-Based Iterative Ranking Algorithms and Information Theoretical Distortion Measures. - Borhan Samei; Marzieh Estiagh; Fazel Keshtkar; Sattar Hashemi (FLAIRS, 2014)

A statistical approach for clustering in streaming data. - Niloofar Mozafari; Sattar Hashemi; Ali Hamzeh (Artif. Intell. Res., 2014)

Detecting intrusion transactions in database systems: a novel approach. - Mina Sohrabi; Mohammad Masoud Javidi; Sattar Hashemi (J. Intell. Inf. Syst., 2014)

Adopting Community Features to Detect Social Spammers. - Yasaman Sarlati; Sattar Hashemi; Niloofar Mozafari (EISIC, 2015)

An ensemble game theoretic approach for multi-objective optimization. - Mahsa Badami; Niloofar Mozafari; Ali Hamzeh; Sattar Hashemi (AI Commun., 2015)

Effective team formation in collaboration networks using vertex and proficiency similarity measures. - Maryam Sorkhi; Sattar Hashemi (AI Commun., 2015)

Artificial Prediction Markets for Online Prediction of Continuous Variables-A Preliminary Report. - Fatemeh Jahedpari; Marina De Vos; Sattar Hashemi; Benjamin Hirsch; Julian A. Padget (CoRR, 2015)

Knowledge Representation in Learning Classifier Systems: A Review. - Farzaneh Shoeleh; Mahshid Majd; Ali Hamzeh; Sattar Hashemi (CoRR, 2015)

DFP-SEPSF: A dynamic frequent pattern tree to mine strong emerging patterns in streamwise features. - Fatemeh Alavi; Sattar Hashemi (Eng. Appl. Artif. Intell., 2015)

Scaling up the hybrid Particle Swarm Optimization algorithm for nominal data-sets. - Hedayatollah Dallaki; Kimia Bazargan Lari; Ali Hamzeh; Sattar Hashemi; Ashkan Sami (Intell. Data Anal., 2015)

HC-MOEA: A hierarchical clustering approach for increasing the solution's diversity in multiobjective evolutionary algorithms. - Kamyab Tahernezhad; Kimia Bazargan Lari; Ali Hamzeh; Sattar Hashemi (Intell. Data Anal., 2015)

To combat multi-class imbalanced problems by means of over-sampling and boosting techniques. - Lida Abdi; Sattar Hashemi (Soft Comput., 2015)

Artificial Prediction Markets for Clustering. - Sina Famouri; Sattar Hashemi; Mohammad Taheri (Australasian Conference on Artificial Intelligence, 2016)

Learning a Secure Classifier against Evasion Attack. - Zeinab Khorshidpour; Sattar Hashemi; Ali Hamzeh (ICDM Workshops, 2016)

An Efficient yet Effective Random Partitioning and Feature Weighting Approach for Transfer Learning. - Jafar Tahmoresnezhad; Sattar Hashemi (Int. J. Pattern Recognit. Artif. Intell., 2016)

To Combat Multi-Class Imbalanced Problems by Means of Over-Sampling Techniques. - Lida Abdi; Sattar Hashemi (IEEE Trans. Knowl. Data Eng., 2016)

Hybrid Intrusion Detection: Combining Decision Tree and Gaussian Mixture Model. - Marzieh Bitaab; Sattar Hashemi (ISCISC, 2017)

Evaluation of random forest classifier in security domain. - Zeinab Khorshidpour; Sattar Hashemi; Ali Hamzeh (Appl. Intell., 2017)

Exploiting kernel-based feature weighting and instance clustering to transfer knowledge across domains. - Jafar Tahmoresnezhad; Sattar Hashemi (Turkish J. Electr. Eng. Comput. Sci., 2017)

Online Prediction via Continuous Artificial Prediction Markets. - Fatemeh Jahedpari; Talal Rahwan; Sattar Hashemi; Tomasz P. Michalak; Marina De Vos; Julian A. Padget; Wei Lee Woon (IEEE Intell. Syst., 2017)

Using domain adaptation in adversarial environment. - Zeinab Khorshidpour; Jafar Tahmoresnezhad; Sattar Hashemi; Ali Hamzeh (Int. J. Data Min. Model. Manag., 2017)

Multi-objective perception model for diffusion of information in social networks. - Niloofar Mozafari; Ali Hamzeh; Sattar Hashemi (Int. J. Data Min. Model. Manag., 2017)

Two-tier network anomaly detection model: a machine learning approach. - Hamed Haddad Pajouh; Gholamhossein Dastghaibyfard; Sattar Hashemi (J. Intell. Inf. Syst., 2017)

Modelling information diffusion based on non-dominated friends in social networks. - Niloofar Mozafari; Ali Hamzeh; Sattar Hashemi (J. Inf. Sci., 2017)

Visual domain adaptation via transfer feature learning. - Jafar Tahmoresnezhad; Sattar Hashemi (Knowl. Inf. Syst., 2017)

Graph embedding as a new approach for unknown malware detection. - Hashem Hashemi; Amin Azmoodeh; Ali Hamzeh; Sattar Hashemi (J. Comput. Virol. Hacking Tech., 2017)

An entropy-based distance measure for analyzing and detecting metamorphic malware. - Esmaeel Radkani; Sattar Hashemi; Alireza Keshavarz-Haddad; Maryam Amir Haeri (Appl. Intell., 2018)

Domain invariant feature extraction against evasion attack. - Zeinab Khorshidpour; Jafar Tahmoresnezhad; Sattar Hashemi; Ali Hamzeh (Int. J. Mach. Learn. Cybern., 2018)

Investigating the Streaming Algorithms Usage in Website Fingerprinting Attack Against Tor Privacy Enhancing Technology. - Reyhane Attarian; Sattar Hashemi (ISCISC, 2019)

AdaWFPA: Adaptive Online Website Fingerprinting Attack for Tor Anonymous Network: A Stream-wise Paradigm. - Reyhane Attarian; Lida Abdi; Sattar Hashemi (Comput. Commun., 2019)

DRTHIS: Deep ransomware threat hunting and intelligence system at the fog layer. - Sajad Homayoun; Ali Dehghantanha; Marzieh Ahmadzadeh; Sattar Hashemi; Raouf Khayami; Kim-Kwang Raymond Choo; David Ellis Newton (Future Gener. Comput. Syst., 2019)

Active Spectral Botnet Detection Based on Eigenvalue Weighting. - Amin Azmoodeh; Ali Dehghantanha; Reza M. Parizi; Sattar Hashemi; Bahram Gharabaghi; Gautam Srivastava 001 (Handbook of Big Data Privacy, 2020)

A Deep Learning-based Malware Hunting Technique to Handle Imbalanced Data. - Zahra Moti; Sattar Hashemi; Amir Namavar Jahromi (ISCISC, 2020)

Security Framework of IoT-Based Smart Home. - Shahrouz Sotoudeh; Sattar Hashemi; Hossein Gharaee Garakani (IST, 2020)

An improved two-hidden-layer extreme learning machine for malware hunting. - Amir Namavar Jahromi; Sattar Hashemi; Ali Dehghantanha; Kim-Kwang Raymond Choo; Hadis Karimipour; David Ellis Newton; Reza M. Parizi (Comput. Secur., 2020)

An opcode-based technique for polymorphic Internet of Things malware detection. - Hamid Darabian; Ali Dehghantanha; Sattar Hashemi; Sajad Homayoun; Kim-Kwang Raymond Choo (Concurr. Comput. Pract. Exp., 2020)

Detecting Cryptomining Malware: a Deep Learning Approach for Static and Dynamic Analysis. - Hamid Darabian; Sajad Homayoun; Ali Dehghantanha; Sattar Hashemi; Hadis Karimipour; Reza M. Parizi; Kim-Kwang Raymond Choo (J. Grid Comput., 2020)

Predicting the bug fixing time using word embedding and deep long short term memories. - Reza Sepahvand; Reza Akbari; Sattar Hashemi (IET Softw., 2020)

Proposing a sparse representational based face verification system to run in a shortage of memory. - Seyed Mehdi Hazrati Fard; Sattar Hashemi (Multim. Tools Appl., 2020)

Know Abnormal, Find Evil: Frequent Pattern Mining for Ransomware Threat Hunting and Intelligence. - Sajad Homayoun; Ali Dehghantanha; Marzieh Ahmadzadeh; Sattar Hashemi; Raouf Khayami (IEEE Trans. Emerg. Top. Comput., 2020)

An Enhanced Stacked LSTM Method With No Random Initialization for Malware Threat Hunting in Safety and Time-Critical Systems. - Amir Namavar Jahromi; Sattar Hashemi; Ali Dehghantanha; Reza M. Parizi; Kim-Kwang Raymond Choo (IEEE Trans. Emerg. Top. Comput. Intell., 2020)

A multiview learning method for malware threat hunting: windows, IoT and android as case studies. - Hamid Darabian; Ali Dehghantanha; Sattar Hashemi; Mohammad Taheri; Amin Azmoodeh; Sajad Homayoun; Kim-Kwang Raymond Choo; Reza M. Parizi (World Wide Web, 2020)

Unsupervised Domain Adaptation Based on Correlation Maximization. - Lida Abdi; Sattar Hashemi (IEEE Access, 2021)

Generative adversarial network to detect unseen Internet of Things malware. - Zahra Moti; Sattar Hashemi; Hadis Karimipour; Ali Dehghantanha; Amir Namavar Jahromi; Lida Abdi; Fatemeh Alavi (Ad Hoc Networks, 2021)

An anonymity communication protocol for security and privacy of clients in IoT-based mobile health transactions. - Reyhane Attarian; Sattar Hashemi (Comput. Networks, 2021)

Correction to: Binary domain adaptation with independence maximization. - Lida Abdi; Sattar Hashemi (Int. J. Mach. Learn. Cybern., 2022)

A bi-level formulation for multiple kernel learning via self-paced training. - Fatemeh Alavi; Sattar Hashemi (Pattern Recognit., 2022)

An element-wise kernel learning framework. - Fatemeh Alavi; Sattar Hashemi (Appl. Intell., 2023)

Data-adaptive kernel clustering with half-quadratic-based neighborhood relationship preservation. - Fatemeh Alavi; Sattar Hashemi (Knowl. Based Syst., 2023)

Using word embedding and convolution neural network for bug triaging by considering design flaws. - Reza Sepahvand; Reza Akbari; Behnaz Jamasb; Sattar Hashemi; Omid Boushehrian (Sci. Comput. Program., 2023)

Assessing Vulnerability in Smart Contracts: The Role of Code Complexity Metrics in Security Analysis. - Masoud Jamshidiyan Tehrani; Sattar Hashemi (CoRR, 2024)