Energy-Efficient Cluster-Based Scheme for Handling Node Failure in Real-Time Sensor Networks. - Hamid Karimi; Mehdi Kargahi; Nasser Yazdani (DASC, 2009)

On the Handling of Node Failures: Energy-Efficient Job Allocation Algorithm for Real-time Sensor Networks. - Hamid Karimi; Mehdi Kargahi; Nasser Yazdani (J. Inf. Process. Syst., 2010)

Offline and online broadcast scheduling algorithms for file broadcast in mobile WiMAX. - Hamid Karimi; Saleh Yousefi; Maghsud Solimanpur; Raman Khenanisho (IST, 2012)

An efficient knowledge-based algorithm for the flexible job shop scheduling problem. - Hamid Karimi; Seyed Habib A. Rahmati; Mostafa Zandieh (Knowl. Based Syst., 2012)

Using meta-heuristics for project scheduling under mode identity constraints. - Amir Rahimi; Hamid Karimi; Behrouz Afshar-Nadjafi (Appl. Soft Comput., 2013)

A segmentation approach for file broadcast scheduling. - Hamid Karimi; Saleh Yousefi; Maghsud Solimanpur (J. Parallel Distributed Comput., 2013)

End-to-End Compromised Account Detection. - Hamid Karimi; Courtland VanDam; Liyang Ye; Jiliang Tang (ASONAM, 2018)

CADET: A Multi-View Learning Framework for Compromised Account Detection on Twitter. - Courtland VanDam; Pang-Ning Tan; Jiliang Tang; Hamid Karimi (ASONAM, 2018)

Toward End-to-End Deception Detection in Videos. - Hamid Karimi; Jiliang Tang; Yanen Li (IEEE BigData, 2018)

Multi-Source Multi-Class Fake News Detection. - Hamid Karimi; Proteek Roy; Sari Saba-Sadiya; Jiliang Tang (COLING, 2018)

Interpretable Multimodal Deception Detection in Videos. - Hamid Karimi (ICMI, 2018)

Multi-factor congressional vote prediction. - Hamid Karimi; Tyler Derr; Aaron Brookhouse; Jiliang Tang (ASONAM, 2019)

Learning Hierarchical Discourse-level Structure for Fake News Detection. - Hamid Karimi; Jiliang Tang (NAACL-HLT (1), 2019)

Characterizing the Decision Boundary of Deep Neural Networks. - Hamid Karimi; Tyler Derr; Jiliang Tang (CoRR, 2019)

Towards Improving Sample Representativeness of Teachers on Online Social Media: A Case Study on Pinterest. - Hamid Karimi; Tyler Derr; Kaitlin T. Torphy; Kenneth A. Frank; Jiliang Tang (AIED (2), 2020)

Online Academic Course Performance Prediction using Relational Graph Convolutional Neural Network. - Hamid Karimi; Tyler Derr; Jiangtao Huang; Jiliang Tang (EDM, 2020)

Characterizing Teacher Connections in Online Social Media: A Case Study on Pinterest. - Hamid Karimi; Kaitlin T. Torphy; Tyler Derr; Kenneth A. Frank; Jiliang Tang (L@S, 2020)

Understanding and Promoting Teacher Connections in Online Social Media: A Case Study on Pinterest. - Hamid Karimi; Kaitlin T. Torphy; Tyler Derr; Kenneth A. Frank; Jiliang Tang (TALE, 2020)

Decision Boundary of Deep Neural Networks: Challenges and Opportunities. - Hamid Karimi; Jiliang Tang (WSDM, 2020)

The Authors Matter: Understanding and Mitigating Implicit Bias in Deep Text Classification. - Haochen Liu; Wei Jin 009; Hamid Karimi; Zitao Liu 001; Jiliang Tang (ACL/IJCNLP (Findings), 2021)

Automatic Identification of Teachers in Social Media using Positive Unlabeled Learning. - Hamid Karimi; Jiliang Tang; Xochitl Weiss; Jiangtao Huang (IEEE BigData, 2021)

Deep Adversarial Network Alignment. - Tyler Derr; Hamid Karimi; Xiaorui Liu; Jiejun Xu; Jiliang Tang (CIKM, 2021)

Road to the White House: Analyzing the Relations Between Mainstream and Social Media During the U.S. Presidential Primaries. - Aaron Brookhouse; Tyler Derr; Hamid Karimi; H. Russell Bernard; Jiliang Tang (HT, 2021)

Teachers in Social Media: A Gender-aware Behavior Analysis. - Hamid Karimi; Kaitlin Torphy Knake; Kenneth A. Frank (IEEE Big Data, 2022)

Enhancing Individual Fairness through Propensity Score Matching. - Hamid Karimi; Muhammad Fawad Akbar Khan; Haochen Liu; Tyler Derr; Hui Liu 031 (DSAA, 2022)

Decision Boundaries of Deep Neural Networks. - Hamid Karimi; Tyler Derr (ICMLA, 2022)

A New Framework to Assess the Individual Fairness of Probabilistic Classifiers. - Muhammad Fawad Akbar Khan; Hamid Karimi (ICMLA, 2022)

An Energy-Efficient Method for Global Connectivity and Minimum Number of Active Nodes in Wireless Sensor Networks. - Hamid Karimi (Ad Hoc Sens. Wirel. Networks, 2022)

A Cooperative Game Approach for Energy Management of Interconnected Microgrids. - Mohadese Movahednia; Hamid Karimi; Shahram Jadid (CoRR, 2022)

Deciphering Student Coding Behavior: Interpretable Keystroke Features and Ensemble Strategies for Grade Prediction. - Muhammad Fawad Akbar Khan; John Edwards 002; Paul M. Bodily; Hamid Karimi (IEEE Big Data, 2023)

An Analysis of the Dynamics of Ties on Twitter. - Kiana Kheiri; Muhammad Fawad Akbar Khan; Tyler Derr; Hamid Karimi (IEEE Big Data, 2023)

Enhancing the Performance of Automated Grade Prediction in MOOC using Graph Representation Learning. - Soheila Farokhi; Aswani Yaramala; Jiangtao Huang; Muhammad Fawad Akbar Khan; Xiaojun Qi 001; Hamid Karimi (DSAA, 2023)

An Analysis of Diffusion of Teacher-curated Resources on Pinterest. - Hamid Karimi; Kaitlin Torphy Knake; Kenneth A. Frank (EDM, 2023)

SentimentGPT: Exploiting GPT for Advanced Sentiment Analysis and its Departure from Current Machine Learning. - Kiana Kheiri; Hamid Karimi (CoRR, 2023)

Enhancing the Performance of Automated Grade Prediction in MOOC using Graph Representation Learning. - Soheila Farokhi; Aswani Yaramala; Jiangtao Huang; Muhammad Fawad Akbar Khan; Xiaojun Qi; Hamid Karimi (CoRR, 2023)

Assessing the Promise and Pitfalls of ChatGPT for Automated Code Generation. - Muhammad Fawad Akbar Khan; Max Ramsdell; Erik Falor; Hamid Karimi (CoRR, 2023)

Safe resource management of non-cooperative microgrids based on deep reinforcement learning. - Mahdi Shademan; Hamid Karimi; Shahram Jadid (Eng. Appl. Artif. Intell., 2023)

EDGE-UP: Enhanced Dynamic GNN Ensemble for Unfollow Prediction in Online Social Networks. - Soheila Farokhi; Arash Azizian Foumani; Xiaojun Qi; Tyler Derr; Hamid Karimi (ASONAM (1), 2024)

Advancing Tabular Data Classification with Graph Neural Networks: A Random Forest Proximity Method. - Soheila Farokhi; Haozhe Chen; Kevin R. Moon; Hamid Karimi (IEEE Big Data, 2024)

SentimentGPT: Leveraging GPT for Advancing Sentiment Analysis. - Kiana Kheiri; Hamid Karimi (IEEE Big Data, 2024)

Human Evaluation of GPT for Scalable Python Programming Exercise Generation. - Muhammad Fawad Akbar Khan; Max Ramsdell; Ha Nguyen; Hamid Karimi (DSAA, 2024)

Assessing the Promise and Pitfalls of ChatGPT for Automated CS1-driven Code Generation. - Muhammad Fawad Akbar Khan; Max Ramsdell; Erik Falor; Hamid Karimi (EDM, 2024)

Navigating the Data-Rich Landscape of Online Learning: Insights and Predictions from ASSISTments. - Aswani Yaramala; Soheila Farokhi; Hamid Karimi (EDM, 2024)

A Comprehensive Analysis of Social Tie Strength: Definitions, Prediction Methods, and Future Directions. - Xueqi Cheng; Catherine Yang; Yuying Zhao; Yu Wang 160; Hamid Karimi; Tyler Derr (CoRR, 2024)