5 citations · 16 across the 10 of their papers we have counts for
10 papers
Modeling Induced Pleasure through Cognitive Appraisal Prediction via Multimodal Fusion
Nastaran Dab, Raziyeh Zall, Mohammadreza Kangavari
Multimodal affective computing analyzes user-generated social media content to predict emotional states. However, a critical gap remains in understanding how visual content shapes…
A Comparative Study on Transfer Learning and Distance Metrics in Semantic Clustering over the COVID-19 Tweets
Elnaz Zafarani-Moattar, Mohammad Reza Kangavari, Amir Masoud Rahmani
This paper is a comparison study in the context of Topic Detection on COVID-19 data. There are various approaches for Topic Detection, among which the Clustering approach is select…
Transfer-based adaptive tree for multimodal sentiment analysis based on user latent aspects
Sana Rahmani, Saeid Hosseini, Raziyeh Zall +3
Multimodal sentiment analysis benefits various applications such as human-computer interaction and recommendation systems. It aims to infer the users' bipolar ideas using visual, t…
Cognitive-aware Short-text Understanding for Inferring Professions
Sayna Esmailzadeh, Saeid Hosseini, Mohammad Reza Kangavari +1
Leveraging short-text contents to estimate the occupation of microblog authors has significant gains in many applications. Yet challenges abound. Firstly brief textual contents com…
EmoDNN: Understanding emotions from short texts through a deep neural network ensemble
Sara Kamran, Raziyeh Zall, Mohammad Reza Kangavari +3
The latent knowledge in the emotions and the opinions of the individuals that are manifested via social networks are crucial to numerous applications including social management, d…
SoulMate: Short-text author linking through Multi-aspect temporal-textual embedding
Saeed Najafipour, Saeid Hosseini, Wen Hua +2
Linking authors of short-text contents has important usages in many applications, including Named Entity Recognition (NER) and human community detection. However, certain challenge…
TEAGS: Time-aware Text Embedding Approach to Generate Subgraphs
Saeid Hosseini, Saeed Najafipour, Ngai-Man Cheung +3
Contagions (e.g. virus, gossip) spread over the nodes in propagation graphs. We can use the temporal and textual data of the nodes to compute the edge weights and then generate sub…
MCP: a Multi-Component learning machine to Predict protein secondary structure
Leila Khalatbari, Mohammad Reza Kangavari, Saeid Hosseini +2
The Gene or DNA sequence in every cell does not control genetic properties on its own; Rather, this is done through translation of DNA into protein and subsequent formation of a ce…
A Novel Approach for Video Temporal Annotation
Hadi Restgou Haghi, Mohammadreza Kangavari, Behrang QasemiZadeh
Recent advances in computing, communication, and data storage have led to an increasing number of large digital libraries publicly available on the Internet. Main problem of conten…
An Architecture for Context-Aware Knowledge Flow Management Systems
Ali Jarrahi, Mohammad Reza Kangavari
The organizational knowledge is one of the most important and valuable assets of organizations. In such environment, organizations with broad, specialized and up-to-date knowledge,…