| A survey on machine reading comprehension systems R Baradaran, R Ghiasi, H Amirkhani Natural Language Engineering 28 (6), 683-732, 2022 | 86 | 2022 |
| Bibliometrics of sentiment analysis literature A Keramatfar, H Amirkhani Journal of Information Science 45 (1), 3-15, 2019 | 78 | 2019 |
| Exploiting Experts' Knowledge for Structure Learning of Bayesian Networks H Amirkhani, M Rahmati, P Lucas, A Hommersom IEEE transactions on pattern analysis and machine intelligence 39 (11), 2154 …, 2017 | 73 | 2017 |
| New framework for using image contents in blind steganalysis systems H Amirkhani, M Rahmati Journal of Electronic Imaging 20 (1), 013016-013016-14, 2011 | 40 | 2011 |
| Fake news detection on social media using a natural language inference approach F Sadeghi, AJ Bidgoly, H Amirkhani Multimedia Tools and Applications 81 (23), 33801-33821, 2022 | 37 | 2022 |
| Farstail: A persian natural language inference dataset H Amirkhani, M AzariJafari, S Faridan-Jahromi, Z Kouhkan, Z Pourjafari, ... Soft Computing, 1-13, 2023 | 36 | 2023 |
| Graph Neural Networks: a bibliometrics overview A Keramatfar, M Rafiee, H Amirkhani Machine Learning with Applications 10, 100401, 2022 | 22 | 2022 |
| Anomaly Detection in Smart Homes Using Bayesian Networks. S Saqaeeyan, H Amirkhani KSII Transactions on Internet & Information Systems 14 (4), 2020 | 16 | 2020 |
| Deep anomaly detection in hyperspectral images based on membership maps and object area filtering M Yousefan, HE Najafabadi, H Amirkhani, H Leung, V Hajihashemi Expert Systems with Applications 191, 116200, 2022 | 15 | 2022 |
| Agreement/disagreement based crowd labeling H Amirkhani, M Rahmati Applied Intelligence 41 (1), 212-222, 2014 | 14 | 2014 |
| Multi-thread hierarchical deep model for context-aware sentiment analysis A Keramatfar, H Amirkhani, A Jalaly Bidgoly Journal of Information Science 49 (1), 133-144, 2023 | 13 | 2023 |
| Ensemble Learning-Based Approach for Improving Generalization Capability of Machine Reading Comprehension Systems R Baradaran, H Amirkhani Neurocomputing, 2021 | 12 | 2021 |
| Smart home resident identification based on behavioral patterns using ambient sensors FS Lesani, F Fotouhi Ghazvini, H Amirkhani Personal and Ubiquitous Computing 25, 151-162, 2021 | 11 | 2021 |
| Expectation maximization based ordering aggregation for improving the K2 structure learning algorithm H Amirkhani, M Rahmati Intelligent Data Analysis 19 (5), 1003-1018, 2015 | 11 | 2015 |
| Modeling tweet dependencies with graph convolutional networks for sentiment analysis A Keramatfar, H Amirkhani, AJ Bidgoly Cognitive Computation 14 (6), 2234-2245, 2022 | 8 | 2022 |
| An adversarial attack detection method in deep neural networks based on re-attacking approach MA Ahmadi, R Dianat, H Amirkhani Multimedia Tools and Applications 80, 10985-11014, 2021 | 8 | 2021 |
| FNID: Fake news inference dataset F Sadeghi, AJ Bidgoly, H Amirkhani IEEE Dataport, 2020 | 7 | 2020 |
| Don't Discard All the Biased Instances: Investigating a Core Assumption in Dataset Bias Mitigation Techniques H Amirkhani, MT Pilehvar Findings of EMNLP, 2021 | 6 | 2021 |
| A novel probabilistic hybrid model to detect anomaly in smart homes S Saqaeeyan, HHS Javadi, H Amirkhani Computer Modeling in Engineering & Sciences 121 (3), 815-834, 2019 | 6 | 2019 |
| Improving edit-based unsupervised sentence simplification using fine-tuned BERT MA Rashid, H Amirkhani Pattern Recognition Letters 166, 112-118, 2023 | 4 | 2023 |
Mohammad rahmatiProfessor of Computer Engineering, Amirkabir university of TechnologyDirección de correo verificada de aut.ac.ir
