Search Results for author: Hamid Karimi

Found 9 papers, 5 papers with code

Enhancing the Performance of Automated Grade Prediction in MOOC using Graph Representation Learning

1 code implementation18 Oct 2023 Soheila Farokhi, Aswani Yaramala, Jiangtao Huang, Muhammad F. A. Khan, Xiaojun Qi, Hamid Karimi

However, current automated assessment approaches overlook the structural links between different entities involved in the downstream tasks, such as the students and courses.

Graph Embedding Graph Representation Learning

SentimentGPT: Exploiting GPT for Advanced Sentiment Analysis and its Departure from Current Machine Learning

1 code implementation16 Jul 2023 Kiana Kheiri, Hamid Karimi

This study presents a thorough examination of various Generative Pretrained Transformer (GPT) methodologies in sentiment analysis, specifically in the context of Task 4 on the SemEval 2017 dataset.

Navigate Prompt Engineering +1

A Cooperative Game Approach for Energy Management of Interconnected Microgrids

no code implementations10 Jan 2022 Mohadese Movahednia, Hamid Karimi, Shahram Jadid

In the proposed model, microgrids are scheduled to achieve a global optimum for the cost of the multi-microgrid system.

energy management Management

The Authors Matter: Understanding and Mitigating Implicit Bias in Deep Text Classification

no code implementations Findings (ACL) 2021 Haochen Liu, Wei Jin, Hamid Karimi, Zitao Liu, Jiliang Tang

The results show that the text classification models trained under our proposed framework outperform traditional models significantly in terms of fairness, and also slightly in terms of classification performance.

Fairness General Classification +2

Characterizing the Decision Boundary of Deep Neural Networks

1 code implementation24 Dec 2019 Hamid Karimi, Tyler Derr, Jiliang Tang

In this regard, one crucial aspect of deep neural network classifiers that can help us deepen our knowledge about their decision-making behavior is to investigate their decision boundaries.

Decision Making

Deep Adversarial Network Alignment

no code implementations27 Feb 2019 Tyler Derr, Hamid Karimi, Xiaorui Liu, Jiejun Xu, Jiliang Tang

Network alignment, in general, seeks to discover the hidden underlying correspondence between nodes across two (or more) networks when given their network structure.

Graph Embedding Network Embedding

Learning Hierarchical Discourse-level Structure for Fake News Detection

2 code implementations NAACL 2019 Hamid Karimi, Jiliang Tang

Incorporating hierarchical discourse-level structure of fake and real news articles is one crucial step toward a better understanding of how these articles are structured.

Fake News Detection

Multi-Source Multi-Class Fake News Detection

no code implementations COLING 2018 Hamid Karimi, Proteek Roy, Sari Saba-Sadiya, Jiliang Tang

Fake news spreading through media outlets poses a real threat to the trustworthiness of information and detecting fake news has attracted increasing attention in recent years.

Fake News Detection

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