The state-of-the-art in expert recommendation systems. - Narjes Nikzad-Khasmakhi; M. A. Balafar; Mohammad-Reza Feizi-Derakhshi (Eng. Appl. Artif. Intell., 2019)

A Model to Measure the Spread Power of Rumors. - 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 (CoRR, 2020)

Automatic Personality Prediction; an Enhanced Method Using Ensemble Modeling. - 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 (CoRR, 2020)

Multimodal price prediction. - Aidin Zehtab-Salmasi; Ali-Reza Feizi-Derakhshi; Narjes Nikzad-Khasmakhi; Meysam Asgari-Chenaghlu; Saeideh Nabipour (CoRR, 2020)

BERTERS: Multimodal Representation Learning for Expert Recommendation System with Transformer. - Narjes Nikzad-Khasmakhi; Mohammad Ali Balafar; Mohammad-Reza Feizi-Derakhshi; Cina Motamed (CoRR, 2020)

Covid-Transformer: Detecting COVID-19 Trending Topics on Twitter Using Universal Sentence Encoder. - Meysam Asgari-Chenaghlu; Narjes Nikzad-Khasmakhi; Shervin Minaee (CoRR, 2020)

Phraseformer: Multimodal Key-phrase Extraction using Transformer and Graph Embedding. - 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 (CoRR, 2021)

The state-of-the-art in text-based automatic personality prediction. - 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 (CoRR, 2021)

ExEm: Expert embedding using dominating set theory with deep learning approaches. - Narjes Nikzad-Khasmakhi; Mohammad Ali Balafar; Mohammad-Reza Feizi-Derakhshi; Cina Motamed (Expert Syst. Appl., 2021)

Cy: Chaotic yolo for user intended image encryption and sharing in social media. - 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 (Inf. Sci., 2021)

Deep Learning-based Text Classification: A Comprehensive Review. - Shervin Minaee; Nal Kalchbrenner; Erik Cambria; Narjes Nikzad; Meysam Chenaghlu; Jianfeng Gao 001 (ACM Comput. Surv., 2022)

Automatic personality prediction: an enhanced method using ensemble modeling. - 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 (Neural Comput. Appl., 2022)

Text-based automatic personality prediction: a bibliographic review. - 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 (J. Comput. Soc. Sci., 2022)

Text Simplification of Scientific Texts for Non-Expert Readers. - Björn Engelmann 002; Fabian Haak; Christin Katharina Kreutz; Narjes Nikzad-Khasmakhi; Philipp Schaer (CLEF (Working Notes), 2023)

ConvGenVisMo: Evaluation of Conversational Generative Vision Models. - Narjes Nikzad-Khasmakhi; Meysam Asgari-Chenaghlu; Nabiha Asghar; Philipp Schaer; Dietlind Zühlke (CoRR, 2023)

A model to measure the spread power of rumors. - 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 (J. Ambient Intell. Humaniz. Comput., 2023)

The Two Sides of the Coin: Hallucination Generation and Detection with LLMs as Evaluators for LLMs. - Anh Thu Maria Bui; Saskia Felizitas Brech; Natalie Hußfeldt; Tobias Jennert; Melanie Ullrich; Timo Breuer 002; Narjes Nikzad-Khasmakhi; Philipp Schaer (CLEF (Working Notes), 2024)

Large Language Models: A Survey. - Shervin Minaee; Tomás Mikolov; Narjes Nikzad; Meysam Chenaghlu; Richard Socher; Xavier Amatriain; Jianfeng Gao 001 (CoRR, 2024)

Fact vs. Fiction: Are the Reportedly "Magical" LLM-Based Recommenders Reproducible? - Shirin Tahmasebi; Narjes Nikzad; Amir Hossein Payberah; Meysam Asgari-Chenaghlu; Mihhail Matskin (ECIR (4), 2025)

Revolutionizing textual data insights: A comprehensive review of the dual relationship between transformers and clustering in textual data analysis. - Nazila Pourhaji Aghayengejeh; M. A. Balafar; Narjes Nikzad-Khasmakhi (Comput. Sci. Rev., 2025)