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Narjes Nikzad-Khasmakhi
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2020 – today
- 2024
- [c2]Anh Thu Maria Bui, Saskia Felizitas Brech, Natalie Hußfeldt, Tobias Jennert, Melanie Ullrich, Timo Breuer, Narjes Nikzad-Khasmakhi, Philipp Schaer:
The Two Sides of the Coin: Hallucination Generation and Detection with LLMs as Evaluators for LLMs. CLEF (Working Notes) 2024: 727-758 - [i13]Shervin Minaee, Tomás Mikolov, Narjes Nikzad, Meysam Chenaghlu, Richard Socher, Xavier Amatriain, Jianfeng Gao:
Large Language Models: A Survey. CoRR abs/2402.06196 (2024) - [i12]Anh Thu Maria Bui, Saskia Felizitas Brech, Natalie Hußfeldt, Tobias Jennert, Melanie Ullrich, Timo Breuer, Narjes Nikzad-Khasmakhi, Philipp Schaer:
The Two Sides of the Coin: Hallucination Generation and Detection with LLMs as Evaluators for LLMs. CoRR abs/2407.09152 (2024) - 2023
- [j7]Zoleikha Jahanbakhsh-Nagadeh, Mohammad-Reza Feizi-Derakhshi, Majid Ramezani, Taymaz Akan, Meysam Asgari-Chenaghlu, Narjes Nikzad-Khasmakhi, Ali-Reza Feizi-Derakhshi, Mehrdad Ranjbar-Khadivi, Elnaz Zafarani-Moattar, Mohammad Ali Balafar:
A model to measure the spread power of rumors. J. Ambient Intell. Humaniz. Comput. 14(10): 13787-13811 (2023) - [c1]Björn Engelmann, Fabian Haak, Christin Katharina Kreutz, Narjes Nikzad-Khasmakhi, Philipp Schaer:
Text Simplification of Scientific Texts for Non-Expert Readers. CLEF (Working Notes) 2023: 2987-2998 - [i11]Narjes Nikzad-Khasmakhi, Meysam Asgari-Chenaghlu, Nabiha Asghar, Philipp Schaer, Dietlind Zühlke:
ConvGenVisMo: Evaluation of Conversational Generative Vision Models. CoRR abs/2305.17784 (2023) - [i10]Björn Engelmann, Fabian Haak, Christin Katharina Kreutz, Narjes Nikzad-Khasmakhi, Philipp Schaer:
Text Simplification of Scientific Texts for Non-Expert Readers. CoRR abs/2307.03569 (2023) - 2022
- [j6]Shervin Minaee, Nal Kalchbrenner, Erik Cambria, Narjes Nikzad, Meysam Chenaghlu, Jianfeng Gao:
Deep Learning-based Text Classification: A Comprehensive Review. ACM Comput. Surv. 54(3): 62:1-62:40 (2022) - [j5]Ali-Reza Feizi-Derakhshi, Mohammad-Reza Feizi-Derakhshi, Majid Ramezani, Narjes Nikzad-Khasmakhi, Meysam Asgari-Chenaghlu, Taymaz Akan, Mehrdad Ranjbar-Khadivi, Elnaz Zafarni-Moattar, Zoleikha Jahanbakhsh-Nagadeh:
Text-based automatic personality prediction: a bibliographic review. J. Comput. Soc. Sci. 5(2): 1555-1593 (2022) - [j4]Majid Ramezani, Mohammad-Reza Feizi-Derakhshi, Mohammad Ali Balafar, Meysam Asgari-Chenaghlu, Ali-Reza Feizi-Derakhshi, Narjes Nikzad-Khasmakhi, Mehrdad Ranjbar-Khadivi, Zoleikha Jahanbakhsh-Nagadeh, Elnaz Zafarani-Moattar, Taymaz Akan:
Automatic personality prediction: an enhanced method using ensemble modeling. Neural Comput. Appl. 34(21): 18369-18389 (2022) - 2021
- [j3]Narjes Nikzad-Khasmakhi, Mohammad Ali Balafar, Mohammad-Reza Feizi-Derakhshi, Cina Motamed:
ExEm: Expert embedding using dominating set theory with deep learning approaches. Expert Syst. Appl. 177: 114913 (2021) - [j2]Meysam Asgari-Chenaghlu, Mohammad-Reza Feizi-Derakhshi, Narjes Nikzad-Khasmakhi, Ali-Reza Feizi-Derakhshi, Majid Ramezani, Zoleikha Jahanbakhsh-Nagadeh, Taymaz Rahkar-Farshi, Elnaz Zafarani-Moattar, Mehrdad Ranjbar-Khadivi, Mohammad Ali Balafar:
Cy: Chaotic yolo for user intended image encryption and sharing in social media. Inf. Sci. 542: 212-227 (2021) - [i9]Narjes Nikzad-Khasmakhi, Mohammad-Reza Feizi-Derakhshi, Meysam Asgari-Chenaghlu, Mohammad Ali Balafar, Ali-Reza Feizi-Derakhshi, Taymaz Rahkar-Farshi, Majid Ramezani, Zoleikha Jahanbakhsh-Nagadeh, Elnaz Zafarani-Moattar, Mehrdad Ranjbar-Khadivi:
Phraseformer: Multimodal Key-phrase Extraction using Transformer and Graph Embedding. CoRR abs/2106.04939 (2021) - [i8]Ali-Reza Feizi-Derakhshi, Mohammad-Reza Feizi-Derakhshi, Majid Ramezani, Narjes Nikzad-Khasmakhi, Meysam Asgari-Chenaghlu, Taymaz Akan, Mehrdad Ranjbar-Khadivi, Elnaz Zafarni-Moattar, Zoleikha Jahanbakhsh-Nagadeh:
The state-of-the-art in text-based automatic personality prediction. CoRR abs/2110.01186 (2021) - 2020
- [i7]Narjes Nikzad-Khasmakhi, M. A. Balafar, Mohammad-Reza Feizi-Derakhshi, Cina Motamed:
ExEm: Expert Embedding using dominating set theory with deep learning approaches. CoRR abs/2001.08503 (2020) - [i6]Zoleikha Jahanbakhsh-Nagadeh, Mohammad-Reza Feizi-Derakhshi, Majid Ramezani, Taymaz Rahkar-Farshi, Meysam Asgari-Chenaghlu, Narjes Nikzad-Khasmakhi, Ali-Reza Feizi-Derakhshi, Mehrdad Ranjbar-Khadivi, Elnaz Zafarani-Moattar, Mohammad Ali Balafar:
A Model to Measure the Spread Power of Rumors. CoRR abs/2002.07563 (2020) - [i5]Shervin Minaee, Nal Kalchbrenner, Erik Cambria, Narjes Nikzad, Meysam Chenaghlu, Jianfeng Gao:
Deep Learning Based Text Classification: A Comprehensive Review. CoRR abs/2004.03705 (2020) - [i4]Majid Ramezani, Mohammad-Reza Feizi-Derakhshi, Mohammad Ali Balafar, Meysam Asgari-Chenaghlu, Ali-Reza Feizi-Derakhshi, Narjes Nikzad-Khasmakhi, Mehrdad Ranjbar-Khadivi, Zoleikha Jahanbakhsh-Nagadeh, Elnaz Zafarani-Moattar, Taymaz Rahkar-Farshi:
Automatic Personality Prediction; an Enhanced Method Using Ensemble Modeling. CoRR abs/2007.04571 (2020) - [i3]Aidin Zehtab-Salmasi, Ali-Reza Feizi-Derakhshi, Narjes Nikzad-Khasmakhi, Meysam Asgari-Chenaghlu, Saeideh Nabipour:
Multimodal price prediction. CoRR abs/2007.05056 (2020) - [i2]Narjes Nikzad-Khasmakhi, Mohammad Ali Balafar, Mohammad-Reza Feizi-Derakhshi, Cina Motamed:
BERTERS: Multimodal Representation Learning for Expert Recommendation System with Transformer. CoRR abs/2007.07229 (2020) - [i1]Meysam Asgari-Chenaghlu, Narjes Nikzad-Khasmakhi, Shervin Minaee:
Covid-Transformer: Detecting COVID-19 Trending Topics on Twitter Using Universal Sentence Encoder. CoRR abs/2009.03947 (2020)
2010 – 2019
- 2019
- [j1]Narjes Nikzad-Khasmakhi, M. A. Balafar, Mohammad-Reza Feizi-Derakhshi:
The state-of-the-art in expert recommendation systems. Eng. Appl. Artif. Intell. 82: 126-147 (2019)
Coauthor Index
aka: Meysam Chenaghlu
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last updated on 2024-08-22 19:45 CEST by the dblp team
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