Sattar Hashemi

According to our database, Sattar Hashemi authored at least 99 papers between 2006 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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., June, 2023

Data-adaptive kernel clustering with half-quadratic-based neighborhood relationship preservation.

Fatemeh Alavi, Sattar Hashemi

Knowl. Based Syst., April, 2023

An element-wise kernel learning framework.

Fatemeh Alavi, Sattar Hashemi

Appl. Intell., April, 2023

2022

A bi-level formulation for multiple kernel learning via self-paced training.

Fatemeh Alavi, Sattar Hashemi

Pattern Recognit., 2022

Correction to: Binary domain adaptation with independence maximization.

Lida Abdi, Sattar Hashemi

Int. J. Mach. Learn. Cybern., 2022

2021

An anonymity communication protocol for security and privacy of clients in IoT-based mobile health transactions.

Reyhane Attarian, Sattar Hashemi

Comput. Networks, 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

Unsupervised Domain Adaptation Based on Correlation Maximization.

Lida Abdi, Sattar Hashemi

IEEE Access, 2021

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

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

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

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

Predicting the bug fixing time using word embedding and deep long short term memories.

Reza Sepahvand, Reza Akbari, Sattar Hashemi

IET Softw., 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

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

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

Security Framework of IoT-Based Smart Home.

Shahrouz Sotoudeh, Sattar Hashemi, Hossein Gharaee Garakani

Proceedings of the 10th International Symposium on Telecommunications, 2020

A Deep Learning-based Malware Hunting Technique to Handle Imbalanced Data.

Zahra Moti, Sattar Hashemi, Amir Namavar Jahromi

Proceedings of the 17th International ISC Conference on Information Security and Cryptology, 2020

Active Spectral Botnet Detection Based on Eigenvalue Weighting.

Amin Azmoodeh, Ali Dehghantanha, Reza M. Parizi, Sattar Hashemi, Bahram Gharabaghi, Gautam Srivastava

Proceedings of the Handbook of Big Data Privacy., 2020

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

AdaWFPA: Adaptive Online Website Fingerprinting Attack for Tor Anonymous Network: A Stream-wise Paradigm.

Reyhane Attarian, Lida Abdi, Sattar Hashemi

Comput. Commun., 2019

Investigating the Streaming Algorithms Usage in Website Fingerprinting Attack Against Tor Privacy Enhancing Technology.

Reyhane Attarian, Sattar Hashemi

Proceedings of the 16th International ISC (Iranian Society of Cryptology) Conference on Information Security and Cryptology, 2019

2018

Domain invariant feature extraction against evasion attack.

Zeinab Khorshidpour, Jafar Tahmoresnezhad, Sattar Hashemi, Ali Hamzeh

Int. J. Mach. Learn. Cybern., 2018

An entropy-based distance measure for analyzing and detecting metamorphic malware.

Esmaeel Radkani, Sattar Hashemi, Alireza Keshavarz-Haddad, Maryam Amir Haeri

Appl. Intell., 2018

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

Visual domain adaptation via transfer feature learning.

Jafar Tahmoresnezhad, Sattar Hashemi

Knowl. Inf. Syst., 2017

Modelling information diffusion based on non-dominated friends in social networks.

Niloofar Mozafari, Ali Hamzeh, Sattar Hashemi

J. Inf. Sci., 2017

Two-tier network anomaly detection model: a machine learning approach.

Hamed Haddad Pajouh, Gholamhossein Dastghaibyfard, Sattar Hashemi

J. Intell. Inf. Syst., 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

Using domain adaptation in adversarial environment.

Zeinab Khorshidpour, Jafar Tahmoresnezhad, Sattar Hashemi, Ali Hamzeh

Int. J. Data Min. Model. Manag., 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

Exploiting kernel-based feature weighting and instance clustering to transfer knowledge across domains.

Jafar Tahmoresnezhad, Sattar Hashemi

Turkish J. Electr. Eng. Comput. Sci., 2017

Evaluation of random forest classifier in security domain.

Zeinab Khorshidpour, Sattar Hashemi, Ali Hamzeh

Appl. Intell., 2017

Hybrid Intrusion Detection: Combining Decision Tree and Gaussian Mixture Model.

Marzieh Bitaab, Sattar Hashemi

Proceedings of the 14th International ISC (Iranian Society of Cryptology) Conference on Information Security and Cryptology, 2017

2016

To Combat Multi-Class Imbalanced Problems by Means of Over-Sampling Techniques.

Lida Abdi, Sattar Hashemi

IEEE Trans. Knowl. Data Eng., 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

Learning a Secure Classifier against Evasion Attack.

Zeinab Khorshidpour, Sattar Hashemi, Ali Hamzeh

Proceedings of the IEEE International Conference on Data Mining Workshops, 2016

Artificial Prediction Markets for Clustering.

Sina Famouri, Sattar Hashemi, Mohammad Taheri

Proceedings of the AI 2016: Advances in Artificial Intelligence, 2016

2015

To combat multi-class imbalanced problems by means of over-sampling and boosting techniques.

Lida Abdi, Sattar Hashemi

Soft Comput., 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

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

DFP-SEPSF: A dynamic frequent pattern tree to mine strong emerging patterns in streamwise features.

Fatemeh Alavi, Sattar Hashemi

Eng. Appl. Artif. Intell., 2015

Knowledge Representation in Learning Classifier Systems: A Review.

Farzaneh Shoeleh, Mahshid Majd, Ali Hamzeh, Sattar Hashemi

CoRR, 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

Effective team formation in collaboration networks using vertex and proficiency similarity measures.

Maryam Sorkhi, Sattar Hashemi

AI Commun., 2015

An ensemble game theoretic approach for multi-objective optimization.

Mahsa Badami, Niloofar Mozafari, Ali Hamzeh, Sattar Hashemi

AI Commun., 2015

Adopting Community Features to Detect Social Spammers.

Yasaman Sarlati, Sattar Hashemi, Niloofar Mozafari

Proceedings of the 2015 European Intelligence and Security Informatics Conference, 2015

2014

Detecting intrusion transactions in database systems: a novel approach.

Mina Sohrabi, Mohammad Masoud Javidi, Sattar Hashemi

J. Intell. Inf. Syst., 2014

A statistical approach for clustering in streaming data.

Niloofar Mozafari, Sattar Hashemi, Ali Hamzeh

Artif. Intell. Res., 2014

Multi-Document Summarization Using Graph-Based Iterative Ranking Algorithms and Information Theoretical Distortion Measures.

Borhan Samei, Marzieh Estiagh, Fazel Keshtkar, Sattar Hashemi

Proceedings of the Twenty-Seventh International Florida Artificial Intelligence Research Society Conference, 2014

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

Using reinforcement learning to find an optimal set of features.

Seyed Mehdi Hazrati Fard, Ali Hamzeh, Sattar Hashemi

Comput. Math. Appl., 2013

An enriched game-theoretic framework for multi-objective clustering.

Mahsa Badami, Ali Hamzeh, Sattar Hashemi

Appl. Soft Comput., 2013

Discovering overlapping communities in social networks: A novel game-theoretic approach.

Hamidreza Alvari, Sattar Hashemi, Ali Hamzeh

AI Commun., 2013

An Ensemble Pruning Approach Based on Reinforcement Learning in Presence of Multi-class Imbalanced Data.

Lida Abdi, Sattar Hashemi

Proceedings of the Third International Conference on Soft Computing for Problem Solving, 2013

Mining Jumping Emerging Patterns by Streaming Feature Selection.

Fatemeh Alavi, Sattar Hashemi

Proceedings of the Knowledge and Systems Engineering, 2013

To Boost Graph Clustering Based on Power Iteration by Removing Outliers.

Amin Azmoodeh, Sattar Hashemi

Proceedings of the First International Conference on Advanced Data and Information Engineering, 2013

Road Traffic Prediction Using Context-Aware Random Forest Based on Volatility Nature of Traffic Flows.

Narjes Zarei, Mohammad Ali Ghayour, Sattar Hashemi

Proceedings of the Intelligent Information and Database Systems - 5th Asian Conference, 2013

GAB-EPA: A GA Based Ensemble Pruning Approach to Tackle Multiclass Imbalanced Problems.

Lida Abdi, Sattar Hashemi

Proceedings of the Intelligent Information and Database Systems - 5th Asian Conference, 2013

2012

A graph mining approach for detecting unknown malwares.

Mojtaba Eskandari, Sattar Hashemi

J. Vis. Lang. Comput., 2012

ECFGM: enriched control flow graph miner for unknown vicious infected code detection.

Mojtaba Eskandari, Sattar Hashemi

J. Comput. Virol., 2012

SPCF: a stepwise partitioning for collaborative filtering to alleviate sparsity problems.

Elham Hoseini, Sattar Hashemi, Ali Hamzeh

J. Inf. Sci., 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

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

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

Mahsa Badami, Ali Hamzeh, Sattar Hashemi

CoRR, 2012

Dispelling Classes Gradually to Improve Quality of Feature Reduction Approaches

Shervan Fekri Ershad, Sattar Hashemi

CoRR, 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

A levelwise spectral co-clustering algorithm for collaborative filtering.

Elham Hoseini, Sattar Hashemi, Ali Hamzeh

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.

Farnoush Farhadi, Elham Hoseini, Sattar Hashemi, Ali Hamzeh

Proceedings of the 12th IEEE International Conference on Data Mining Workshops, 2012

A Game-Theoretic Framework to Identify Top-K Teams in Social Networks.

Maryam Sorkhi, Hamidreza Alvari, Sattar Hashemi, Ali Hamzeh

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.

Seyed Mehdi Hazrati Fard, Ali Hamzeh, Sattar Hashemi

Proceedings of the 9th International Conference on Fuzzy Systems and Knowledge Discovery, 2012

A General Paradigm for Normalizing Metamorphic Malwares.

Seyed Emad Armoun, Sattar Hashemi

Proceedings of the 10th International Conference on Frontiers of Information Technology, 2012

To Incorporate Sequential Dynamic Features in Malware Detection Engines.

Mojtaba Eskandari, Zeinab Khorshidpour, Sattar Hashemi

Proceedings of the 2012 European Intelligence and Security Informatics Conference, 2012

Community Detection in Social Networks Using Information Diffusion.

Alireza Hajibagheri, Hamidreza Alvari, Ali Hamzeh, Sattar Hashemi

Proceedings of the International Conference on Advances in Social Networks Analysis and Mining, 2012

Link Prediction in Social Network Using Co-clustering Based Approach.

Elham Hoseini, Sattar Hashemi, Ali Hamzeh

Proceedings of the 26th International Conference on Advanced Information Networking and Applications Workshops, 2012

Improving Nearest Neighbor Classification by Elimination of Noisy Irrelevant Features.

M. Javad Zomorodian, Ali Adeli, Mehrnoosh Sinaee, Sattar Hashemi

Proceedings of the Intelligent Information and Database Systems - 4th Asian Conference, 2012

Incorporating Hierarchical Information into the Matrix Factorization Model for Collaborative Filtering.

Ali Mashhoori, Sattar Hashemi

Proceedings of the Intelligent Information and Database Systems - 4th Asian Conference, 2012

2011

CBDL: Context-based distance learning for categorical attributes.

Zeinab Khorshidpour, Sattar Hashemi, Ali Hamzeh

Int. J. Intell. Syst., 2011

A Precise Statistical approach for concept change detection in unlabeled data streams.

Niloofar Mozafari, Sattar Hashemi, Ali Hamzeh

Comput. Math. Appl., 2011

An Effective Expert Team Formation in Social Networks Based on Skill Grading.

Farnoush Farhadi, Maryam Sorkhi, Sattar Hashemi, Ali Hamzeh

Proceedings of the Data Mining Workshops (ICDMW), 2011

Towards final rule set reduction in XCS: a fuzzy representation approach.

Farzaneh Shoeleh, Ali Hamzeh, Sattar Hashemi

Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

Voting based learning classifier system for multi-label classification.

Kaveh Ahmadi Abhari, Ali Hamzeh, Sattar Hashemi

Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

Anomaly Detection in Categorical Datasets Using Bayesian Networks.

Lida Rashidi, Sattar Hashemi, Ali Hamzeh

Proceedings of the Artificial Intelligence and Computational Intelligence, 2011

Detecting Overlapping Communities in Social Networks by Game Theory and Structural Equivalence Concept.

Hamidreza Alvari, Sattar Hashemi, Ali Hamzeh

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.

Farzaneh Shoeleh, Ali Hamzeh, Sattar Hashemi

Proceedings of the Simulated Evolution and Learning - 8th International Conference, 2010

Towards Efficient and Effective Negative Selection Algorithm: A Convex Hull Representation Scheme.

Mahshid Majd, Farzaneh Shoeleh, Ali Hamzeh, Sattar Hashemi

Proceedings of the Simulated Evolution and Learning - 8th International Conference, 2010

Malware detection based on mining API calls.

Ashkan Sami, Babak Yadegari, Hossein Rahimi, Naser Peiravian, Sattar Hashemi, Ali Hamzeh

Proceedings of the 2010 ACM Symposium on Applied Computing (SAC), 2010

2009

Adapted One-versus-All Decision Trees for Data Stream Classification.

Sattar Hashemi, Ying Yang, Zahra Mirzamomen, Mohammad Reza Kangavari

IEEE Trans. Knowl. Data Eng., 2009

Agent Based Decision Tree Learning: a Novel Approach.

Mohsen Rahmani, Sattar Hashemi, Ali Hamzeh, Ashkan Sami

Int. J. Softw. Eng. Knowl. Eng., 2009

A Recursive Classifier System for Partially Observable Environments.

Ali Hamzeh, Sattar Hashemi, Ashkan Sami, Adel Rahmani

Fundam. Informaticae, 2009

Flexible decision tree for data stream classification in the presence of concept change, noise and missing values.

Sattar Hashemi, Ying Yang

Data Min. Knowl. Discov., 2009

Automatic Refinement of Platform Independent Models Using Graph Transformation System.

Sattar Hashemi, M. R. ZadMiralvad

Proceedings of the Fourth International Conference on Frontier of Computer Science and Technology, 2009

2008

Class Specific Fuzzy Decision Trees for Mining High Speed Data Streams.

Sattar Hashemi, Mohammad Reza Kangavari, Ying Yang

Fundam. Informaticae, 2008

Detecting intrusion transactions in databases using data item dependencies and anomaly analysis.

Sattar Hashemi, Ying Yang, Davoud Zabihzadeh, Mohammad Reza Kangavari

Expert Syst. J. Knowl. Eng., 2008

2007

Flexible Classifier Selection for Accuracy-Based Classifier Systems.

Mashall Aryan, Sattar Hashemi, Morteza Analoui

Proceedings of the International MultiConference of Engineers and Computer Scientists 2007, 2007

To Better Handle Concept Change and Noise: A Cellular Automata Approach to Data Stream Classification.

Sattar Hashemi, Ying Yang, Majid Pourkashani, Mohammad Reza Kangavari

Proceedings of the AI 2007: Advances in Artificial Intelligence, 2007

2006

An Efficient Distributed Algorithm for Mining Association Rules.

Zahra Farzanyar, Mohammad Reza Kangavari, Sattar Hashemi

Proceedings of the Parallel and Distributed Processing and Applications, 2006

A New Algorithm for Mining Fuzzy Association Rules in the Large Databases Based on Ontology.

Zahra Farzanyar, Mohammad Reza Kangavari, Sattar Hashemi

Proceedings of the Workshops Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006

Effect of Similar Behaving Attributes in Mining of Fuzzy Association Rules in the Large Databases.

Zahra Farzanyar, Mohammad Reza Kangavari, Sattar Hashemi

Proceedings of the Computational Science and Its Applications, 2006