35 citations · 166 across the 11 of their papers we have counts for
13 papers
Schizophrenia Detection from EEG Signals: A Transformer Framework with Spectrogram Representation
Abtin Shafiei, Mohsen Hooshmand, Majid Ramezani
Schizophrenia is a serious psychiatric disorder that affects millions of people worldwide, and its diagnosis remains primarily dependent on clinical assessment. Electroencephalogra…
CDAE: Enhancing Perturbation Robustness in Pretrained Language Models with Contrastive Denoising
Sina Heydari, Amirreza Abbasi, Mohsen Hooshmand +1
Pre-trained language models have significantly improved sentence representation learning, yet their embeddings remain sensitive to textual perturbations such as synonym substitutio…
HyperPersona: A Multi-Level Hypergraph Framework for Text-Based Automatic Personality Prediction
Sina Heydari, Majid Ramezani
As a modern commodity, language has become a vast repository of socially and psychologically significant traits and concepts, reflecting the ways people encode pattern of thoughts,…
MPEC: Manifold-Preserved EEG Classification via an Ensemble of Clustering-Based Classifiers
Shermin Shahbazi, Mohammad-Reza Nasiri, Majid Ramezani
Accurate classification of EEG signals is crucial for brain-computer interfaces (BCIs) and neuroprosthetic applications, yet many existing methods fail to account for the non-Eucli…
RSAttAE: An Information-Aware Attention-based Autoencoder Recommender System
Amirhossein Dadashzadeh Taromi, Sina Heydari, Mohsen Hooshmand +1
Recommender systems play a crucial role in modern life, including information retrieval, the pharmaceutical industry, retail, and entertainment. The entertainment sector, in partic…
RELIANCE: Reliable Ensemble Learning for Information and News Credibility Evaluation
Majid Ramezani, Hamed Mohammadshahi, Mahshid Daliry +2
In the era of information proliferation, discerning the credibility of news content poses an ever-growing challenge. This paper introduces RELIANCE, a pioneering ensemble learning…
Unsupervised Broadcast News Summarization; a comparative study on Maximal Marginal Relevance (MMR) and Latent Semantic Analysis (LSA)
Majid Ramezani, Mohammad-Salar Shahryari, Amir-Reza Feizi-Derakhshi +1
The methods of automatic speech summarization are classified into two groups: supervised and unsupervised methods. Supervised methods are based on a set of features, while unsuperv…
Text-Based Automatic Personality Prediction Using KGrAt-Net; A Knowledge Graph Attention Network Classifier
Majid Ramezani, Mohammad-Reza Feizi-Derakhshi, Mohammad-Ali Balafar
Nowadays, a tremendous amount of human communications occur on Internet-based communication infrastructures, like social networks, email, forums, organizational communication platf…
Knowledge Graph-Enabled Text-Based Automatic Personality Prediction
Majid Ramezani, Mohammad-Reza Feizi-Derakhshi, Mohammad-Ali Balafar
How people think, feel, and behave, primarily is a representation of their personality characteristics. By being conscious of personality characteristics of individuals whom we are…
Text-based automatic personality prediction: A bibliographic review
Ali-Reza Feizi-Derakhshi, Mohammad-Reza Feizi-Derakhshi, Majid Ramezani +6
Personality detection is an old topic in psychology and Automatic Personality Prediction (or Perception) (APP) is the automated (computationally) forecasting of the personality on…
Phraseformer: Multimodal Key-phrase Extraction using Transformer and Graph Embedding
Narjes Nikzad-Khasmakhi, Mohammad-Reza Feizi-Derakhshi, Meysam Asgari-Chenaghlu +7
Background: Keyword extraction is a popular research topic in the field of natural language processing. Keywords are terms that describe the most relevant information in a document…
Automatic Personality Prediction; an Enhanced Method Using Ensemble Modeling
Majid Ramezani, Mohammad-Reza Feizi-Derakhshi, Mohammad-Ali Balafar +7
Human personality is significantly represented by those words which he/she uses in his/her speech or writing. As a consequence of spreading the information infrastructures (specifi…
A Model to Measure the Spread Power of Rumors
Zoleikha Jahanbakhsh-Nagadeh, Mohammad-Reza Feizi-Derakhshi, Majid Ramezani +7
With technologies that have democratized the production and reproduction of information, a significant portion of daily interacted posts in social media has been infected by rumors…