Sattar Hashemi

ORCID

Publication Activity (10 Years)

Years Active: 2006-2023
Publications (10 Years): 39

Top Venues

Publications

Fatemeh Alavi, Sattar Hashemi
An element-wise kernel learning framework. Appl. Intell. 53 (8) (2023)
Fatemeh Alavi, Sattar Hashemi
Data-adaptive kernel clustering with half-quadratic-based neighborhood relationship preservation. Knowl. Based Syst. 265 (2023)
Reza Sepahvand, Reza Akbari, Behnaz Jamasb, Sattar Hashemi, Omid Boushehrian
Using word embedding and convolution neural network for bug triaging by considering design flaws. Sci. Comput. Program. 228 (2023)
Lida Abdi, Sattar Hashemi
Correction to: Binary domain adaptation with independence maximization. Int. J. Mach. Learn. Cybern. 13 (6) (2022)
Reza Sepahvand, Reza Akbari, Behnaz Jamasb, Sattar Hashemi, Omid Boushehrian
Using Word Embedding and Convolution Neural Network for Bug Triaging by Considering Design Flaws. CoRR (2022)
Fatemeh Alavi, Sattar Hashemi
A bi-level formulation for multiple kernel learning via self-paced training. Pattern Recognit. 129 (2022)
Zahra Moti, Sattar Hashemi, Hadis Karimipour, Ali Dehghantanha, Amir Namavar Jahromi, Lida Abdi, Fatemeh Alavi
Generative adversarial network to detect unseen Internet of Things malware. Ad Hoc Networks 122 (2021)
Reyhane Attarian, Sattar Hashemi
An anonymity communication protocol for security and privacy of clients in IoT-based mobile health transactions. Comput. Networks 190 (2021)
Lida Abdi, Sattar Hashemi
Unsupervised Domain Adaptation Based on Correlation Maximization. IEEE Access 9 (2021)
Hamid Darabian, Ali Dehghantanha, Sattar Hashemi, Mohammad Taheri, Amin Azmoodeh, Sajad Homayoun, Kim-Kwang Raymond Choo, Reza M. Parizi
A multiview learning method for malware threat hunting: windows, IoT and android as case studies. World Wide Web 23 (2) (2020)
Shahrouz Sotoudeh, Sattar Hashemi, Hossein Gharaee Garakani
Security Framework of IoT-Based Smart Home. IST (2020)
Seyed Mehdi Hazrati Fard, Sattar Hashemi
Proposing a sparse representational based face verification system to run in a shortage of memory. Multim. Tools Appl. 79 (3-4) (2020)
Reza Sepahvand, Reza Akbari, Sattar Hashemi
Predicting the bug fixing time using word embedding and deep long short term memories. IET Softw. 14 (3) (2020)
Hamid Darabian, Sajad Homayoun, Ali Dehghantanha, Sattar Hashemi, Hadis Karimipour, Reza M. Parizi, Kim-Kwang Raymond Choo
Detecting Cryptomining Malware: a Deep Learning Approach for Static and Dynamic Analysis. J. Grid Comput. 18 (2) (2020)
Hamid Darabian, Ali Dehghantanha, Sattar Hashemi, Sajad Homayoun, Kim-Kwang Raymond Choo
An opcode-based technique for polymorphic Internet of Things malware detection. Concurr. Comput. Pract. Exp. 32 (6) (2020)
Sajad Homayoun, Ali Dehghantanha, Marzieh Ahmadzadeh, Sattar Hashemi, Raouf Khayami
Know Abnormal, Find Evil: Frequent Pattern Mining for Ransomware Threat Hunting and Intelligence. IEEE Trans. Emerg. Top. Comput. 8 (2) (2020)
Amir Namavar Jahromi, Sattar Hashemi, Ali Dehghantanha, Reza M. Parizi, Kim-Kwang Raymond Choo
An Enhanced Stacked LSTM Method With No Random Initialization for Malware Threat Hunting in Safety and Time-Critical Systems. IEEE Trans. Emerg. Top. Comput. Intell. 4 (5) (2020)
Zahra Moti, Sattar Hashemi, Amir Namavar Jahromi
A Deep Learning-based Malware Hunting Technique to Handle Imbalanced Data. ISCISC (2020)
Amir Namavar Jahromi, Sattar Hashemi, Ali Dehghantanha, Kim-Kwang Raymond Choo, Hadis Karimipour, David Ellis Newton, Reza M. Parizi
An improved two-hidden-layer extreme learning machine for malware hunting. Comput. Secur. 89 (2020)
Sajad Homayoun, Ali Dehghantanha, Marzieh Ahmadzadeh, Sattar Hashemi, Raouf Khayami, Kim-Kwang Raymond Choo, David Ellis Newton
DRTHIS: Deep ransomware threat hunting and intelligence system at the fog layer. Future Gener. Comput. Syst. 90 (2019)
Reyhane Attarian, Sattar Hashemi
Investigating the Streaming Algorithms Usage in Website Fingerprinting Attack Against Tor Privacy Enhancing Technology. ISCISC (2019)
Reyhane Attarian, Lida Abdi, Sattar Hashemi
AdaWFPA: Adaptive Online Website Fingerprinting Attack for Tor Anonymous Network: A Stream-wise Paradigm. Comput. Commun. 148 (2019)
Esmaeel Radkani, Sattar Hashemi, Alireza Keshavarz-Haddad, Maryam Amir Haeri
An entropy-based distance measure for analyzing and detecting metamorphic malware. Appl. Intell. 48 (6) (2018)
Zeinab Khorshidpour, Jafar Tahmoresnezhad, Sattar Hashemi, Ali Hamzeh
Domain invariant feature extraction against evasion attack. Int. J. Mach. Learn. Cybern. 9 (12) (2018)
Sajad Homayoun, Ali Dehghantanha, Marzieh Ahmadzadeh, Sattar Hashemi, Raouf Khayami
Know Abnormal, Find Evil: Frequent Pattern Mining for Ransomware Threat Hunting and Intelligence. CoRR (2018)
Jafar Tahmoresnezhad, Sattar Hashemi
Visual domain adaptation via transfer feature learning. Knowl. Inf. Syst. 50 (2) (2017)
Niloofar Mozafari, Ali Hamzeh, Sattar Hashemi
Modelling information diffusion based on non-dominated friends in social networks. J. Inf. Sci. 43 (6) (2017)
Niloofar Mozafari, Ali Hamzeh, Sattar Hashemi
Multi-objective perception model for diffusion of information in social networks. Int. J. Data Min. Model. Manag. 9 (3) (2017)
Hamed Haddad Pajouh, Gholamhossein Dastghaibyfard, Sattar Hashemi
Two-tier network anomaly detection model: a machine learning approach. J. Intell. Inf. Syst. 48 (1) (2017)
Jafar Tahmoresnezhad, Sattar Hashemi
Exploiting kernel-based feature weighting and instance clustering to transfer knowledge across domains. Turkish J. Electr. Eng. Comput. Sci. 25 (2017)
Fatemeh Jahedpari, Talal Rahwan, Sattar Hashemi, Tomasz P. Michalak, Marina De Vos, Julian A. Padget, Wei Lee Woon
Online Prediction via Continuous Artificial Prediction Markets. IEEE Intell. Syst. 32 (1) (2017)
Hashem Hashemi, Amin Azmoodeh, Ali Hamzeh, Sattar Hashemi
Graph embedding as a new approach for unknown malware detection. J. Comput. Virol. Hacking Tech. 13 (3) (2017)
Zeinab Khorshidpour, Jafar Tahmoresnezhad, Sattar Hashemi, Ali Hamzeh
Using domain adaptation in adversarial environment. Int. J. Data Min. Model. Manag. 9 (3) (2017)
Marzieh Bitaab, Sattar Hashemi
Hybrid Intrusion Detection: Combining Decision Tree and Gaussian Mixture Model. ISCISC (2017)
Zeinab Khorshidpour, Sattar Hashemi, Ali Hamzeh
Evaluation of random forest classifier in security domain. Appl. Intell. 47 (2) (2017)
Sina Famouri, Sattar Hashemi, Mohammad Taheri
Artificial Prediction Markets for Clustering. Australasian Conference on Artificial Intelligence (2016)
Jafar Tahmoresnezhad, Sattar Hashemi
An Efficient yet Effective Random Partitioning and Feature Weighting Approach for Transfer Learning. Int. J. Pattern Recognit. Artif. Intell. 30 (2) (2016)
Lida Abdi, Sattar Hashemi
To Combat Multi-Class Imbalanced Problems by Means of Over-Sampling Techniques. IEEE Trans. Knowl. Data Eng. 28 (1) (2016)
Zeinab Khorshidpour, Sattar Hashemi, Ali Hamzeh
Learning a Secure Classifier against Evasion Attack. ICDM Workshops (2016)
Fatemeh Alavi, Sattar Hashemi
DFP-SEPSF: A dynamic frequent pattern tree to mine strong emerging patterns in streamwise features. Eng. Appl. Artif. Intell. 37 (2015)
Fatemeh Jahedpari, Marina De Vos, Sattar Hashemi, Benjamin Hirsch, Julian A. Padget
Artificial Prediction Markets for Online Prediction of Continuous Variables-A Preliminary Report. CoRR (2015)
Lida Abdi, Sattar Hashemi
To combat multi-class imbalanced problems by means of over-sampling and boosting techniques. Soft Comput. 19 (12) (2015)
Farzaneh Shoeleh, Mahshid Majd, Ali Hamzeh, Sattar Hashemi
Knowledge Representation in Learning Classifier Systems: A Review. CoRR (2015)
Hedayatollah Dallaki, Kimia Bazargan Lari, Ali Hamzeh, Sattar Hashemi, Ashkan Sami
Scaling up the hybrid Particle Swarm Optimization algorithm for nominal data-sets. Intell. Data Anal. 19 (4) (2015)
Mahsa Badami, Niloofar Mozafari, Ali Hamzeh, Sattar Hashemi
An ensemble game theoretic approach for multi-objective optimization. AI Commun. 28 (3) (2015)
Kamyab Tahernezhad, Kimia Bazargan Lari, Ali Hamzeh, Sattar Hashemi
HC-MOEA: A hierarchical clustering approach for increasing the solution's diversity in multiobjective evolutionary algorithms. Intell. Data Anal. 19 (1) (2015)
Yasaman Sarlati, Sattar Hashemi, Niloofar Mozafari
Adopting Community Features to Detect Social Spammers. EISIC (2015)
Maryam Sorkhi, Sattar Hashemi
Effective team formation in collaboration networks using vertex and proficiency similarity measures. AI Commun. 28 (4) (2015)
Borhan Samei, Marzieh Estiagh, Fazel Keshtkar, Sattar Hashemi
Multi-Document Summarization Using Graph-Based Iterative Ranking Algorithms and Information Theoretical Distortion Measures. FLAIRS Conference (2014)
Niloofar Mozafari, Sattar Hashemi, Ali Hamzeh
A statistical approach for clustering in streaming data. Artif. Intell. Res. 3 (1) (2014)
Mina Sohrabi, Mohammad Masoud Javidi, Sattar Hashemi
Detecting intrusion transactions in database systems: a novel approach. J. Intell. Inf. Syst. 42 (3) (2014)
Lida Abdi, Sattar Hashemi
GAB-EPA: A GA Based Ensemble Pruning Approach to Tackle Multiclass Imbalanced Problems. ACIIDS (1) (2013)
Lida Abdi, Sattar Hashemi
An Ensemble Pruning Approach Based on Reinforcement Learning in Presence of Multi-class Imbalanced Data. SocProS (1) (2013)
Seyed Mehdi Hazrati Fard, Ali Hamzeh, Sattar Hashemi
Using reinforcement learning to find an optimal set of features. Comput. Math. Appl. 66 (10) (2013)
Fatemeh Alavi, Sattar Hashemi
Mining Jumping Emerging Patterns by Streaming Feature Selection. KSE (2) (2013)
Amin Azmoodeh, Sattar Hashemi
To Boost Graph Clustering Based on Power Iteration by Removing Outliers. DaEng (2013)
Narjes Zarei, Mohammad Ali Ghayour, Sattar Hashemi
Road Traffic Prediction Using Context-Aware Random Forest Based on Volatility Nature of Traffic Flows. ACIIDS (1) (2013)
Mojtaba Eskandari, Zeinab Khorshidpour, Sattar Hashemi
HDM-Analyser: a hybrid analysis approach based on data mining techniques for malware detection. J. Comput. Virol. Hacking Tech. 9 (2) (2013)
Hamidreza Alvari, Sattar Hashemi, Ali Hamzeh
Discovering overlapping communities in social networks: A novel game-theoretic approach. AI Commun. 26 (2) (2013)
Mahsa Badami, Ali Hamzeh, Sattar Hashemi
An enriched game-theoretic framework for multi-objective clustering. Appl. Soft Comput. 13 (4) (2013)
Mina Alibeigi, Sattar Hashemi, Ali Hamzeh
DBFS: An effective Density Based Feature Selection scheme for small sample size and high dimensional imbalanced data sets. Data Knowl. Eng. (2012)
Farnoush Farhadi, Elham Hoseini, Sattar Hashemi, Ali Hamzeh
TeamFinder: A Co-clustering based Framework for Finding an Effective Team of Experts in Social Networks. ICDM Workshops (2012)
Mahmood Deypir, Mohammad Hadi Sadreddini, Sattar Hashemi
Towards a variable size sliding window model for frequent itemset mining over data streams. Comput. Ind. Eng. 63 (1) (2012)
Mojtaba Eskandari, Zeinab Khorshidpour, Sattar Hashemi
To Incorporate Sequential Dynamic Features in Malware Detection Engines. EISIC (2012)
Farnoush Farhadi, Maryam Sorkhi, Sattar Hashemi, Ali Hamzeh
An Effective Framework for Fast Expert Mining in Collaboration Networks: A Group-Oriented and Cost-Based Method. J. Comput. Sci. Technol. 27 (3) (2012)
Shervan Fekri Ershad, Sattar Hashemi
Dispelling Classes Gradually to Improve Quality of Feature Reduction Approaches CoRR (2012)
Maryam Sorkhi, Hamidreza Alvari, Sattar Hashemi, Ali Hamzeh
A Game-Theoretic Framework to Identify Top-K Teams in Social Networks. KDIR (2012)
M. Javad Zomorodian, Ali Adeli, Mehrnoosh Sinaee, Sattar Hashemi
Improving Nearest Neighbor Classification by Elimination of Noisy Irrelevant Features. ACIIDS (2) (2012)
Seyed Mehdi Hazrati Fard, Ali Hamzeh, Sattar Hashemi
A game theoretic framework for feature selection. FSKD (2012)
Ali Mashhoori, Sattar Hashemi
Incorporating Hierarchical Information into the Matrix Factorization Model for Collaborative Filtering. ACIIDS (3) (2012)
Mojtaba Eskandari, Sattar Hashemi
A graph mining approach for detecting unknown malwares. J. Vis. Lang. Comput. 23 (3) (2012)
Mahsa Badami, Ali Hamzeh, Sattar Hashemi
A Novel Strategy Selection Method for Multi-Objective Clustering Algorithms Using Game Theory CoRR (2012)
Seyed Emad Armoun, Sattar Hashemi
A General Paradigm for Normalizing Metamorphic Malwares. FIT (2012)
Elham Hoseini, Sattar Hashemi, Ali Hamzeh
SPCF: a stepwise partitioning for collaborative filtering to alleviate sparsity problems. J. Inf. Sci. 38 (6) (2012)
Elham Hoseini, Sattar Hashemi, Ali Hamzeh
Link Prediction in Social Network Using Co-clustering Based Approach. AINA Workshops (2012)
Elham Hoseini, Sattar Hashemi, Ali Hamzeh
A levelwise spectral co-clustering algorithm for collaborative filtering. ICUIMC (2012)
Mojtaba Eskandari, Sattar Hashemi
ECFGM: enriched control flow graph miner for unknown vicious infected code detection. J. Comput. Virol. 8 (3) (2012)
Alireza Hajibagheri, Hamidreza Alvari, Ali Hamzeh, Sattar Hashemi
Community Detection in Social Networks Using Information Diffusion. ASONAM (2012)
Lida Rashidi, Sattar Hashemi, Ali Hamzeh
Anomaly Detection in Categorical Datasets Using Bayesian Networks. AICI (2) (2011)
Farzaneh Shoeleh, Ali Hamzeh, Sattar Hashemi
Towards final rule set reduction in XCS: a fuzzy representation approach. GECCO (2011)
Kaveh Ahmadi Abhari, Ali Hamzeh, Sattar Hashemi
Voting based learning classifier system for multi-label classification. GECCO (Companion) (2011)
Niloofar Mozafari, Sattar Hashemi, Ali Hamzeh
A Precise Statistical approach for concept change detection in unlabeled data streams. Comput. Math. Appl. 62 (4) (2011)
Farnoush Farhadi, Maryam Sorkhi, Sattar Hashemi, Ali Hamzeh
An Effective Expert Team Formation in Social Networks Based on Skill Grading. ICDM Workshops (2011)
Zeinab Khorshidpour, Sattar Hashemi, Ali Hamzeh
CBDL: Context-based distance learning for categorical attributes. Int. J. Intell. Syst. 26 (11) (2011)
Hamidreza Alvari, Sattar Hashemi, Ali Hamzeh
Detecting Overlapping Communities in Social Networks by Game Theory and Structural Equivalence Concept. AICI (2) (2011)
Farzaneh Shoeleh, Ali Hamzeh, Sattar Hashemi
To Handle Real Valued Input in XCS: Using Fuzzy Hyper-trapezoidal Membership in Classifier Condition. SEAL (2010)
Mahshid Majd, Farzaneh Shoeleh, Ali Hamzeh, Sattar Hashemi
Towards Efficient and Effective Negative Selection Algorithm: A Convex Hull Representation Scheme. SEAL (2010)
Ashkan Sami, Babak Yadegari, Hossein Rahimi, Naser Peiravian, Sattar Hashemi, Ali Hamzeh
Malware detection based on mining API calls. SAC (2010)
Sattar Hashemi, M. R. ZadMiralvad
Automatic Refinement of Platform Independent Models Using Graph Transformation System. FCST (2009)
Mohsen Rahmani, Sattar Hashemi, Ali Hamzeh, Ashkan Sami
Agent Based Decision Tree Learning: a Novel Approach. Int. J. Softw. Eng. Knowl. Eng. 19 (7) (2009)
Ali Hamzeh, Sattar Hashemi, Ashkan Sami, Adel Rahmani
A Recursive Classifier System for Partially Observable Environments. Fundam. Informaticae 97 (1-2) (2009)
Sattar Hashemi, Ying Yang, Zahra Mirzamomen, Mohammad Reza Kangavari
Adapted One-versus-All Decision Trees for Data Stream Classification. IEEE Trans. Knowl. Data Eng. 21 (5) (2009)
Sattar Hashemi, Ying Yang
Flexible decision tree for data stream classification in the presence of concept change, noise and missing values. Data Min. Knowl. Discov. 19 (1) (2009)
Sattar Hashemi, Mohammad Reza Kangavari, Ying Yang
Class Specific Fuzzy Decision Trees for Mining High Speed Data Streams. Fundam. Informaticae 88 (1-2) (2008)
Sattar Hashemi, Ying Yang, Davoud Zabihzadeh, Mohammad Reza Kangavari
Detecting intrusion transactions in databases using data item dependencies and anomaly analysis. Expert Syst. J. Knowl. Eng. 25 (5) (2008)
Sattar Hashemi, Ying Yang, Majid Pourkashani, Mohammad Reza Kangavari
To Better Handle Concept Change and Noise: A Cellular Automata Approach to Data Stream Classification. Australian Conference on Artificial Intelligence (2007)
Mashall Aryan, Sattar Hashemi, Morteza Analoui
Flexible Classifier Selection for Accuracy-Based Classifier Systems. IMECS (2007)
Zahra Farzanyar, Mohammad Reza Kangavari, Sattar Hashemi
A New Algorithm for Mining Fuzzy Association Rules in the Large Databases Based on Ontology. ICDM Workshops (2006)
Zahra Farzanyar, Mohammad Reza Kangavari, Sattar Hashemi
Effect of Similar Behaving Attributes in Mining of Fuzzy Association Rules in the Large Databases. ICCSA (1) (2006)
Zahra Farzanyar, Mohammad Reza Kangavari, Sattar Hashemi
An Efficient Distributed Algorithm for Mining Association Rules. ISPA (2006)

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Publication Activity (10 Years)

Top Topics

Top Venues

Sattar Hashemi