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Sattar Hashemi
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2020 – today
- 2023
- [j57]Fatemeh Alavi
, Sattar Hashemi:
An element-wise kernel learning framework. Appl. Intell. 53(8): 9531-9547 (2023) - [j56]Fatemeh Alavi
Data-adaptive kernel clustering with half-quadratic-based neighborhood relationship preservation. Knowl. Based Syst. 265: 110373 (2023) - [j55]Reza Sepahvand, Reza Akbari
Using word embedding and convolution neural network for bug triaging by considering design flaws. Sci. Comput. Program. 228: 102945 (2023) - 2022
- [j54]Lida Abdi
Correction to: Binary domain adaptation with independence maximization. Int. J. Mach. Learn. Cybern. 13(6): 1795 (2022) - [j53]Fatemeh Alavi, Sattar Hashemi:
A bi-level formulation for multiple kernel learning via self-paced training. Pattern Recognit. 129: 108770 (2022) - [i6]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 abs/2209.09553 (2022) - 2021
- [j52]Lida Abdi
Unsupervised Domain Adaptation Based on Correlation Maximization. IEEE Access 9: 127054-127067 (2021) - [j51]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: 102591 (2021) - [j50]Reyhane Attarian
An anonymity communication protocol for security and privacy of clients in IoT-based mobile health transactions. Comput. Networks 190: 107976 (2021) - 2020
- [j49]Amir Namavar Jahromi
An improved two-hidden-layer extreme learning machine for malware hunting. Comput. Secur. 89 (2020) - [j48]Hamid Darabian, Ali Dehghantanha, Sattar Hashemi, Sajad Homayoun
An opcode-based technique for polymorphic Internet of Things malware detection. Concurr. Comput. Pract. Exp. 32(6) (2020) - [j47]Hamid Darabian, Sajad Homayoun
Detecting Cryptomining Malware: a Deep Learning Approach for Static and Dynamic Analysis. J. Grid Comput. 18(2): 293-303 (2020) - [j46]Reza Sepahvand
Predicting the bug fixing time using word embedding and deep long short term memories. IET Softw. 14(3): 203-212 (2020) - [j45]Seyed Mehdi Hazrati Fard
Proposing a sparse representational based face verification system to run in a shortage of memory. Multim. Tools Appl. 79(3-4): 2965-2985 (2020) - [j44]Sajad Homayoun
Know Abnormal, Find Evil: Frequent Pattern Mining for Ransomware Threat Hunting and Intelligence. IEEE Trans. Emerg. Top. Comput. 8(2): 341-351 (2020) - [j43]Amir Namavar Jahromi, Sattar Hashemi, Ali Dehghantanha
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): 630-640 (2020) - [j42]Hamid Darabian, Ali Dehghantanha, Sattar Hashemi, Mohammad Taheri
A multiview learning method for malware threat hunting: windows, IoT and android as case studies. World Wide Web 23(2): 1241-1260 (2020) - [c37]Zahra Moti, Sattar Hashemi, Amir Namavar Jahromi:
A Deep Learning-based Malware Hunting Technique to Handle Imbalanced Data. ISCISC 2020: 48-53 - [c36]Shahrouz Sotoudeh, Sattar Hashemi, Hossein Gharaee Garakani:
Security Framework of IoT-Based Smart Home. IST 2020: 251-256 - [p1]Amin Azmoodeh, Ali Dehghantanha
Active Spectral Botnet Detection Based on Eigenvalue Weighting. Handbook of Big Data Privacy 2020: 385-397
2010 – 2019
- 2019
- [j41]Reyhane Attarian
AdaWFPA: Adaptive Online Website Fingerprinting Attack for Tor Anonymous Network: A Stream-wise Paradigm. Comput. Commun. 148: 74-85 (2019) - [j40]Sajad Homayoun
DRTHIS: Deep ransomware threat hunting and intelligence system at the fog layer. Future Gener. Comput. Syst. 90: 94-104 (2019) - [c35]Reyhane Attarian
Investigating the Streaming Algorithms Usage in Website Fingerprinting Attack Against Tor Privacy Enhancing Technology. ISCISC 2019: 33-38 - 2018
- [j39]Esmaeel Radkani, Sattar Hashemi
An entropy-based distance measure for analyzing and detecting metamorphic malware. Appl. Intell. 48(6): 1536-1546 (2018) - [j38]Zeinab Khorshidpour, Jafar Tahmoresnezhad
Domain invariant feature extraction against evasion attack. Int. J. Mach. Learn. Cybern. 9(12): 2093-2104 (2018) - [i5]Sajad Homayoun, Ali Dehghantanha, Marzieh Ahmadzadeh, Sattar Hashemi, Raouf Khayami:
Know Abnormal, Find Evil: Frequent Pattern Mining for Ransomware Threat Hunting and Intelligence. CoRR abs/1808.01957 (2018) - 2017
- [j37]Zeinab Khorshidpour, Sattar Hashemi
Evaluation of random forest classifier in security domain. Appl. Intell. 47(2): 558-569 (2017) - [j36]Jafar Tahmoresnezhad
Exploiting kernel-based feature weighting and instance clustering to transfer knowledge across domains. Turkish J. Electr. Eng. Comput. Sci. 25: 292-307 (2017) - [j35]Fatemeh Jahedpari, Talal Rahwan
Online Prediction via Continuous Artificial Prediction Markets. IEEE Intell. Syst. 32(1): 61-68 (2017) - [j34]Zeinab Khorshidpour, Jafar Tahmoresnezhad, Sattar Hashemi, Ali Hamzeh:
Using domain adaptation in adversarial environment. Int. J. Data Min. Model. Manag. 9(3): 201-219 (2017) - [j33]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): 249-273 (2017) - [j32]Hamed Haddad Pajouh, Gholamhossein Dastghaibyfard, Sattar Hashemi
Two-tier network anomaly detection model: a machine learning approach. J. Intell. Inf. Syst. 48(1): 61-74 (2017) - [j31]Niloofar Mozafari
Modelling information diffusion based on non-dominated friends in social networks. J. Inf. Sci. 43(6): 801-815 (2017) - [j30]Jafar Tahmoresnezhad
Visual domain adaptation via transfer feature learning. Knowl. Inf. Syst. 50(2): 585-605 (2017) - [j29]Hashem Hashemi, Amin Azmoodeh, Ali Hamzeh
Graph embedding as a new approach for unknown malware detection. J. Comput. Virol. Hacking Tech. 13(3): 153-166 (2017) - [c34]Marzieh Bitaab, Sattar Hashemi:
Hybrid Intrusion Detection: Combining Decision Tree and Gaussian Mixture Model. ISCISC 2017: 8-12 - 2016
- [j28]Jafar Tahmoresnezhad
An Efficient yet Effective Random Partitioning and Feature Weighting Approach for Transfer Learning. Int. J. Pattern Recognit. Artif. Intell. 30(2): 1651003:1-1651003:23 (2016) - [j27]Lida Abdi, Sattar Hashemi
To Combat Multi-Class Imbalanced Problems by Means of Over-Sampling Techniques. IEEE Trans. Knowl. Data Eng. 28(1): 238-251 (2016) - [c33]Sina Famouri, Sattar Hashemi
Artificial Prediction Markets for Clustering. Australasian Conference on Artificial Intelligence 2016: 365-377 - [c32]Zeinab Khorshidpour, Sattar Hashemi
Learning a Secure Classifier against Evasion Attack. ICDM Workshops 2016: 295-302 - 2015
- [j26]Mahsa Badami, Niloofar Mozafari
An ensemble game theoretic approach for multi-objective optimization. AI Commun. 28(3): 553-566 (2015) - [j25]Maryam Sorkhi, Sattar Hashemi
Effective team formation in collaboration networks using vertex and proficiency similarity measures. AI Commun. 28(4): 637-654 (2015) - [j24]Fatemeh Alavi, Sattar Hashemi
DFP-SEPSF: A dynamic frequent pattern tree to mine strong emerging patterns in streamwise features. Eng. Appl. Artif. Intell. 37: 54-70 (2015) - [j23]Kamyab Tahernezhad, Kimia Bazargan Lari, Ali Hamzeh
HC-MOEA: A hierarchical clustering approach for increasing the solution's diversity in multiobjective evolutionary algorithms. Intell. Data Anal. 19(1): 187-208 (2015) - [j22]Hedayatollah Dallaki
Scaling up the hybrid Particle Swarm Optimization algorithm for nominal data-sets. Intell. Data Anal. 19(4): 825-844 (2015) - [j21]Lida Abdi, Sattar Hashemi
To combat multi-class imbalanced problems by means of over-sampling and boosting techniques. Soft Comput. 19(12): 3369-3385 (2015) - [c31]Yasaman Sarlati, Sattar Hashemi
Adopting Community Features to Detect Social Spammers. EISIC 2015: 153-156 - [i4]Farzaneh Shoeleh, Mahshid Majd, Ali Hamzeh, Sattar Hashemi:
Knowledge Representation in Learning Classifier Systems: A Review. CoRR abs/1506.04002 (2015) - [i3]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 abs/1508.02681 (2015) - 2014
- [j20]Niloofar Mozafari
A statistical approach for clustering in streaming data. Artif. Intell. Res. 3(1): 38-45 (2014) - [j19]Mina Sohrabi, Mohammad Masoud Javidi
Detecting intrusion transactions in database systems: a novel approach. J. Intell. Inf. Syst. 42(3): 619-644 (2014) - [c30]Borhan Samei, Marzieh Estiagh, Fazel Keshtkar, Sattar Hashemi:
Multi-Document Summarization Using Graph-Based Iterative Ranking Algorithms and Information Theoretical Distortion Measures. FLAIRS 2014 - 2013
- [j18]Hamidreza Alvari, Sattar Hashemi
Discovering overlapping communities in social networks: A novel game-theoretic approach. AI Commun. 26(2): 161-177 (2013) - [j17]Mahsa Badami, Ali Hamzeh
An enriched game-theoretic framework for multi-objective clustering. Appl. Soft Comput. 13(4): 1853-1868 (2013) - [j16]Seyed Mehdi Hazrati Fard, Ali Hamzeh
Using reinforcement learning to find an optimal set of features. Comput. Math. Appl. 66(10): 1892-1904 (2013) - [j15]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): 77-93 (2013) - [c29]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: 196-205 - [c28]Lida Abdi, Sattar Hashemi
GAB-EPA: A GA Based Ensemble Pruning Approach to Tackle Multiclass Imbalanced Problems. ACIIDS (1) 2013: 246-254 - [c27]Amin Azmoodeh, Sattar Hashemi
To Boost Graph Clustering Based on Power Iteration by Removing Outliers. DaEng 2013: 249-258 - [c26]Fatemeh Alavi, Sattar Hashemi
Mining Jumping Emerging Patterns by Streaming Feature Selection. KSE (2) 2013: 337-349 - [c25]Lida Abdi, Sattar Hashemi
An Ensemble Pruning Approach Based on Reinforcement Learning in Presence of Multi-class Imbalanced Data. SocProS (1) 2013: 589-600 - 2012
- [j14]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): 161-172 (2012) - [j13]Mina Alibeigi, Sattar Hashemi
DBFS: An effective Density Based Feature Selection scheme for small sample size and high dimensional imbalanced data sets. Data Knowl. Eng. 81-82: 67-103 (2012) - [j12]Farnoush Farhadi, Maryam Sorkhi, Sattar Hashemi
An Effective Framework for Fast Expert Mining in Collaboration Networks: A Group-Oriented and Cost-Based Method. J. Comput. Sci. Technol. 27(3): 577-590 (2012) - [j11]Elham Hoseini, Sattar Hashemi
SPCF: a stepwise partitioning for collaborative filtering to alleviate sparsity problems. J. Inf. Sci. 38(6): 578-592 (2012) - [j10]Mojtaba Eskandari, Sattar Hashemi
ECFGM: enriched control flow graph miner for unknown vicious infected code detection. J. Comput. Virol. 8(3): 99-108 (2012) - [j9]Mojtaba Eskandari, Sattar Hashemi
A graph mining approach for detecting unknown malwares. J. Vis. Lang. Comput. 23(3): 154-162 (2012) - [c24]M. Javad Zomorodian
Improving Nearest Neighbor Classification by Elimination of Noisy Irrelevant Features. ACIIDS (2) 2012: 11-21 - [c23]Ali Mashhoori, Sattar Hashemi
Incorporating Hierarchical Information into the Matrix Factorization Model for Collaborative Filtering. ACIIDS (3) 2012: 504-513 - [c22]Elham Hoseini, Sattar Hashemi
Link Prediction in Social Network Using Co-clustering Based Approach. AINA Workshops 2012: 795-800 - [c21]Alireza Hajibagheri, Hamidreza Alvari, Ali Hamzeh
Community Detection in Social Networks Using Information Diffusion. ASONAM 2012: 702-703 - [c20]Mojtaba Eskandari, Zeinab Khorshidpour, Sattar Hashemi
To Incorporate Sequential Dynamic Features in Malware Detection Engines. EISIC 2012: 46-52 - [c19]Seyed Emad Armoun, Sattar Hashemi
A General Paradigm for Normalizing Metamorphic Malwares. FIT 2012: 348-353 - [c18]Seyed Mehdi Hazrati Fard, Ali Hamzeh
A game theoretic framework for feature selection. FSKD 2012: 845-850 - [c17]Maryam Sorkhi, Hamidreza Alvari, Sattar Hashemi, Ali Hamzeh:
A Game-Theoretic Framework to Identify Top-K Teams in Social Networks. KDIR 2012: 252-257 - [c16]Farnoush Farhadi, Elham Hoseini, Sattar Hashemi
TeamFinder: A Co-clustering based Framework for Finding an Effective Team of Experts in Social Networks. ICDM Workshops 2012: 107-114 - [c15]Elham Hoseini, Sattar Hashemi
A levelwise spectral co-clustering algorithm for collaborative filtering. ICUIMC 2012: 6:1-6:6 - [i2]Shervan Fekri Ershad, Sattar Hashemi:
Dispelling Classes Gradually to Improve Quality of Feature Reduction Approaches. CoRR abs/1206.1458 (2012) - [i1]Mahsa Badami, Ali Hamzeh, Sattar Hashemi:
A Novel Strategy Selection Method for Multi-Objective Clustering Algorithms Using Game Theory. CoRR abs/1208.3432 (2012) - 2011
- [j8]Niloofar Mozafari
A Precise Statistical approach for concept change detection in unlabeled data streams. Comput. Math. Appl. 62(4): 1655-1669 (2011) - [j7]Zeinab Khorshidpour, Sattar Hashemi
CBDL: Context-based distance learning for categorical attributes. Int. J. Intell. Syst. 26(11): 1076-1100 (2011) - [c14]Lida Rashidi
Anomaly Detection in Categorical Datasets Using Bayesian Networks. AICI (2) 2011: 610-619 - [c13]Hamidreza Alvari, Sattar Hashemi
Detecting Overlapping Communities in Social Networks by Game Theory and Structural Equivalence Concept. AICI (2) 2011: 620-630 - [c12]Kaveh Ahmadi Abhari, Ali Hamzeh
Voting based learning classifier system for multi-label classification. GECCO (Companion) 2011: 355-360 - [c11]Farzaneh Shoeleh, Ali Hamzeh
Towards final rule set reduction in XCS: a fuzzy representation approach. GECCO 2011: 1211-1218 - [c10]Farnoush Farhadi, Maryam Sorkhi, Sattar Hashemi
An Effective Expert Team Formation in Social Networks Based on Skill Grading. ICDM Workshops 2011: 366-372 - 2010
- [c9]Ashkan Sami
Malware detection based on mining API calls. SAC 2010: 1020-1025 - [c8]Mahshid Majd, Farzaneh Shoeleh, Ali Hamzeh
Towards Efficient and Effective Negative Selection Algorithm: A Convex Hull Representation Scheme. SEAL 2010: 45-54 - [c7]Farzaneh Shoeleh, Ali Hamzeh
To Handle Real Valued Input in XCS: Using Fuzzy Hyper-trapezoidal Membership in Classifier Condition. SEAL 2010: 55-64
2000 – 2009
- 2009
- [j6]Sattar Hashemi
Flexible decision tree for data stream classification in the presence of concept change, noise and missing values. Data Min. Knowl. Discov. 19(1): 95-131 (2009) - [j5]Ali Hamzeh
A Recursive Classifier System for Partially Observable Environments. Fundam. Informaticae 97(1-2): 15-40 (2009) - [j4]Mohsen Rahmani
Agent Based Decision Tree Learning: a Novel Approach. Int. J. Softw. Eng. Knowl. Eng. 19(7): 1015-1022 (2009) - [j3]Sattar Hashemi
Adapted One-versus-All Decision Trees for Data Stream Classification. IEEE Trans. Knowl. Data Eng. 21(5): 624-637 (2009) - [c6]Sattar Hashemi
Automatic Refinement of Platform Independent Models Using Graph Transformation System. FCST 2009: 424-428 - 2008
- [j2]Sattar Hashemi
Detecting intrusion transactions in databases using data item dependencies and anomaly analysis. Expert Syst. J. Knowl. Eng. 25(5): 460-473 (2008) - [j1]Sattar Hashemi, Mohammad Reza Kangavari, Ying Yang:
Class Specific Fuzzy Decision Trees for Mining High Speed Data Streams. Fundam. Informaticae 88(1-2): 135-160 (2008) - 2007
- [c5]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: 669-674 - [c4]Mashall Aryan, Sattar Hashemi, Morteza Analoui:
Flexible Classifier Selection for Accuracy-Based Classifier Systems. IMECS 2007: 162-165 - 2006
- [c3]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: 1100-1109 - [c2]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: 65-69 - [c1]Zahra Farzanyar, Mohammad Reza Kangavari, Sattar Hashemi:
An Efficient Distributed Algorithm for Mining Association Rules. ISPA 2006: 383-393
Coauthor Index
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