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Hossein Amirkhani
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2020 – today
- 2023
- [j17]Abdalsamad Keramatfar, Hossein Amirkhani, Amir Jalaly Bidgoly:
Multi-thread hierarchical deep model for context-aware sentiment analysis. J. Inf. Sci. 49(1): 133-144 (2023) - [j16]Razieh Ghiasi, Hossein Amirkhani, Alireza Bosaghzadeh:
Multi-view graph structure learning using subspace merging on Grassmann manifold. Multim. Tools Appl. 82(11): 17135-17157 (2023) - [j15]Mohammad Amin Rashid, Hossein Amirkhani:
Improving edit-based unsupervised sentence simplification using fine-tuned BERT. Pattern Recognit. Lett. 166: 112-118 (2023) - [j14]Amir Jalaly Bidgoly, Hossein Amirkhani, Razieh Baradaran:
Clustering-based Sequence to Sequence Model for Generative Question Answering in a Low-resource Language. ACM Trans. Asian Low Resour. Lang. Inf. Process. 22(2): 57:1-57:14 (2023) - [c4]Ali Modarressi, Hossein Amirkhani, Mohammad Taher Pilehvar:
Guide the Learner: Controlling Product of Experts Debiasing Method Based on Token Attribution Similarities. EACL 2023: 1946-1951 - [i8]Ali Modarressi, Hossein Amirkhani, Mohammad Taher Pilehvar:
Guide the Learner: Controlling Product of Experts Debiasing Method Based on Token Attribution Similarities. CoRR abs/2302.02852 (2023) - 2022
- [j13]Abdalsamad Keramatfar, Hossein Amirkhani, Amir Jalaly Bidgoly:
Modeling Tweet Dependencies with Graph Convolutional Networks for Sentiment Analysis. Cogn. Comput. 14(6): 2234-2245 (2022) - [j12]Mahdi Yousefan, Hamid Esmaeili Najafabadi, Hossein Amirkhani, Henry Leung, Vahid Hajihashemi:
Deep anomaly detection in hyperspectral images based on membership maps and object area filtering. Expert Syst. Appl. 191: 116200 (2022) - [j11]Fariba Sadeghi, Amir Jalaly Bidgoly, Hossein Amirkhani:
Fake news detection on social media using a natural language inference approach. Multim. Tools Appl. 81(23): 33801-33821 (2022) - [j10]Razieh Baradaran, Razieh Ghiasi, Hossein Amirkhani:
A Survey on Machine Reading Comprehension Systems. Nat. Lang. Eng. 28(6): 683-732 (2022) - [i7]Abdalsamad Keramatfar, Mohadeseh Rafiee, Hossein Amirkhani:
Graph Neural Networks: a bibliometrics overview. CoRR abs/2201.01188 (2022) - [i6]Razieh Ghiasi, Hossein Amirkhani, Alireza Bosaghzadeh:
Multi-view graph structure learning using subspace merging on Grassmann manifold. CoRR abs/2204.05258 (2022) - 2021
- [j9]Razieh Baradaran, Hossein Amirkhani:
Ensemble learning-based approach for improving generalization capability of machine reading comprehension systems. Neurocomputing 466: 229-242 (2021) - [j8]Morteza Ali Ahmadi, Rouhollah Dianat, Hossein Amirkhani:
An adversarial attack detection method in deep neural networks based on re-attacking approach. Multim. Tools Appl. 80(7): 10985-11014 (2021) - [j7]Fatemeh Sadat Lesani, Faranak Fotouhi-Ghazvini, Hossein Amirkhani:
Smart home resident identification based on behavioral patterns using ambient sensors. Pers. Ubiquitous Comput. 25(1): 151-162 (2021) - [c3]Razieh Baradaran, Hossein Amirkhani:
Zero-Shot Estimation of Base Models' Weights in Ensemble of Machine Reading Comprehension Systems for Robust Generalization. CSICC 2021: 1-5 - [c2]Mohammad Amin Rashid, Hossein Amirkhani:
The Effect of Using Masked Language Models in Random Textual Data Augmentation. CSICC 2021: 1-5 - [c1]Hossein Amirkhani, Mohammad Taher Pilehvar:
Don't Discard All the Biased Instances: Investigating a Core Assumption in Dataset Bias Mitigation Techniques. EMNLP (Findings) 2021: 4720-4728 - [i5]Razieh Baradaran, Hossein Amirkhani:
Zero-Shot Estimation of Base Models' Weights in Ensemble of Machine Reading Comprehension Systems for Robust Generalization. CoRR abs/2106.16013 (2021) - [i4]Razieh Baradaran, Hossein Amirkhani:
Ensemble Learning-Based Approach for Improving Generalization Capability of Machine Reading Comprehension Systems. CoRR abs/2107.00368 (2021) - [i3]Hossein Amirkhani, Mohammad Taher Pilehvar:
Don't Discard All the Biased Instances: Investigating a Core Assumption in Dataset Bias Mitigation Techniques. CoRR abs/2109.00521 (2021) - 2020
- [j6]Sasan Saqaeeyan, Hamid Haj Seyyed Javadi, Hossein Amirkhani:
Anomaly Detection in Smart Homes Using Bayesian Networks. KSII Trans. Internet Inf. Syst. 14(4): 1796-1816 (2020) - [d1]Fariba Sadeghi, Amir Jalaly Bidgoly, Hossein Amirkhani:
FNID: Fake News Inference Dataset. IEEE DataPort, 2020 - [i2]Razieh Baradaran, Razieh Ghiasi, Hossein Amirkhani:
A Survey on Machine Reading Comprehension Systems. CoRR abs/2001.01582 (2020) - [i1]Hossein Amirkhani, Mohammad AzariJafari, Zohreh Pourjafari, Soroush Faridan-Jahromi, Zeinab Kouhkan, Azadeh Amirak:
FarsTail: A Persian Natural Language Inference Dataset. CoRR abs/2009.08820 (2020)
2010 – 2019
- 2019
- [j5]Abdalsamad Keramatfar, Hossein Amirkhani:
Bibliometrics of sentiment analysis literature. J. Inf. Sci. 45(1) (2019) - 2017
- [j4]Hossein Amirkhani, Mohammad Rahmati, Peter J. F. Lucas, Arjen Hommersom:
Exploiting Experts' Knowledge for Structure Learning of Bayesian Networks. IEEE Trans. Pattern Anal. Mach. Intell. 39(11): 2154-2170 (2017) - 2015
- [j3]Hossein Amirkhani, Mohammad Rahmati:
Expectation maximization based ordering aggregation for improving the K2 structure learning algorithm. Intell. Data Anal. 19(5): 1003-1018 (2015) - 2014
- [j2]Hossein Amirkhani, Mohammad Rahmati:
Agreement/disagreement based crowd labeling. Appl. Intell. 41(1): 212-222 (2014) - 2011
- [j1]Hossein Amirkhani, Mohammad Rahmati:
New framework for using image contents in blind steganalysis systems. J. Electronic Imaging 20(1): 013016 (2011)
Coauthor Index
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