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Hamid Karimi
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2020 – today
- 2024
- [c28]Muhammad Fawad Akbar Khan, Max Ramsdell, Erik Falor, Hamid Karimi:
Assessing the Promise and Pitfalls of ChatGPT for Automated CS1-driven Code Generation. EDM 2024 - [c27]Aswani Yaramala, Soheila Farokhi, Hamid Karimi:
Navigating the Data-Rich Landscape of Online Learning: Insights and Predictions from ASSISTments. EDM 2024 - 2023
- [j6]Mahdi Shademan, Hamid Karimi, Shahram Jadid:
Safe resource management of non-cooperative microgrids based on deep reinforcement learning. Eng. Appl. Artif. Intell. 126: 106865 (2023) - [c26]Muhammad Fawad Akbar Khan, John Edwards, Paul M. Bodily, Hamid Karimi:
Deciphering Student Coding Behavior: Interpretable Keystroke Features and Ensemble Strategies for Grade Prediction. IEEE Big Data 2023: 5799-5808 - [c25]Kiana Kheiri, Muhammad Fawad Akbar Khan, Tyler Derr, Hamid Karimi:
An Analysis of the Dynamics of Ties on Twitter. IEEE Big Data 2023: 5809-5817 - [c24]Soheila Farokhi, Aswani Yaramala, Jiangtao Huang, Muhammad Fawad Akbar Khan, Xiaojun Qi, Hamid Karimi:
Enhancing the Performance of Automated Grade Prediction in MOOC using Graph Representation Learning. DSAA 2023: 1-10 - [c23]Hamid Karimi, Kaitlin Torphy Knake, Kenneth A. Frank:
An Analysis of Diffusion of Teacher-curated Resources on Pinterest. EDM 2023 - [i9]Kiana Kheiri, Hamid Karimi:
SentimentGPT: Exploiting GPT for Advanced Sentiment Analysis and its Departure from Current Machine Learning. CoRR abs/2307.10234 (2023) - [i8]Soheila Farokhi, Aswani Yaramala, Jiangtao Huang, Muhammad Fawad Akbar Khan, Xiaojun Qi, Hamid Karimi:
Enhancing the Performance of Automated Grade Prediction in MOOC using Graph Representation Learning. CoRR abs/2310.12281 (2023) - [i7]Muhammad Fawad Akbar Khan, Max Ramsdell, Erik Falor, Hamid Karimi:
Assessing the Promise and Pitfalls of ChatGPT for Automated Code Generation. CoRR abs/2311.02640 (2023) - 2022
- [j5]Hamid Karimi:
An Energy-Efficient Method for Global Connectivity and Minimum Number of Active Nodes in Wireless Sensor Networks. Ad Hoc Sens. Wirel. Networks 52(3-4): 297-315 (2022) - [c22]Hamid Karimi, Kaitlin Torphy Knake, Kenneth A. Frank:
Teachers in Social Media: A Gender-aware Behavior Analysis. IEEE Big Data 2022: 1842-1849 - [c21]Hamid Karimi, Muhammad Fawad Akbar Khan, Haochen Liu, Tyler Derr, Hui Liu:
Enhancing Individual Fairness through Propensity Score Matching. DSAA 2022: 1-10 - [c20]Muhammad Fawad Akbar Khan, Hamid Karimi:
A New Framework to Assess the Individual Fairness of Probabilistic Classifiers. ICMLA 2022: 876-881 - [c19]Hamid Karimi, Tyler Derr:
Decision Boundaries of Deep Neural Networks. ICMLA 2022: 1085-1092 - [i6]Mohadese Movahednia, Hamid Karimi, Shahram Jadid:
A Cooperative Game Approach for Energy Management of Interconnected Microgrids. CoRR abs/2201.03179 (2022) - 2021
- [c18]Haochen Liu, Wei Jin, Hamid Karimi, Zitao Liu, Jiliang Tang:
The Authors Matter: Understanding and Mitigating Implicit Bias in Deep Text Classification. ACL/IJCNLP (Findings) 2021: 74-85 - [c17]Hamid Karimi, Jiliang Tang, Xochitl Weiss, Jiangtao Huang:
Automatic Identification of Teachers in Social Media using Positive Unlabeled Learning. IEEE BigData 2021: 643-652 - [c16]Tyler Derr, Hamid Karimi, Xiaorui Liu, Jiejun Xu, Jiliang Tang:
Deep Adversarial Network Alignment. CIKM 2021: 352-361 - [c15]Aaron Brookhouse, Tyler Derr, Hamid Karimi, H. Russell Bernard, Jiliang Tang:
Road to the White House: Analyzing the Relations Between Mainstream and Social Media During the U.S. Presidential Primaries. HT 2021: 57-66 - [i5]Haochen Liu, Wei Jin, Hamid Karimi, Zitao Liu, Jiliang Tang:
The Authors Matter: Understanding and Mitigating Implicit Bias in Deep Text Classification. CoRR abs/2105.02778 (2021) - 2020
- [c14]Hamid Karimi, Tyler Derr, Kaitlin T. Torphy, Kenneth A. Frank, Jiliang Tang:
Towards Improving Sample Representativeness of Teachers on Online Social Media: A Case Study on Pinterest. AIED (2) 2020: 130-134 - [c13]Hamid Karimi, Tyler Derr, Jiangtao Huang, Jiliang Tang:
Online Academic Course Performance Prediction using Relational Graph Convolutional Neural Network. EDM 2020 - [c12]Hamid Karimi, Kaitlin T. Torphy, Tyler Derr, Kenneth A. Frank, Jiliang Tang:
Characterizing Teacher Connections in Online Social Media: A Case Study on Pinterest. L@S 2020: 249-252 - [c11]Hamid Karimi, Kaitlin T. Torphy, Tyler Derr, Kenneth A. Frank, Jiliang Tang:
Understanding and Promoting Teacher Connections in Online Social Media: A Case Study on Pinterest. TALE 2020: 536-541 - [c10]Hamid Karimi, Jiliang Tang:
Decision Boundary of Deep Neural Networks: Challenges and Opportunities. WSDM 2020: 919-920 - [i4]Aaron Brookhouse, Tyler Derr, Hamid Karimi, H. Russell Bernard, Jiliang Tang:
Road to the White House: Analyzing the Relations Between Mainstream and Social Media During the U.S. Presidential Primaries. CoRR abs/2009.09307 (2020)
2010 – 2019
- 2019
- [c9]Hamid Karimi, Tyler Derr, Aaron Brookhouse, Jiliang Tang:
Multi-factor congressional vote prediction. ASONAM 2019: 266-273 - [c8]Hamid Karimi, Jiliang Tang:
Learning Hierarchical Discourse-level Structure for Fake News Detection. NAACL-HLT (1) 2019: 3432-3442 - [i3]Tyler Derr, Hamid Karimi, Xiaorui Liu, Jiejun Xu, Jiliang Tang:
Deep Adversarial Network Alignment. CoRR abs/1902.10307 (2019) - [i2]Hamid Karimi, Jiliang Tang:
Learning Hierarchical Discourse-level Structure for Fake News Detection. CoRR abs/1903.07389 (2019) - [i1]Hamid Karimi, Tyler Derr, Jiliang Tang:
Characterizing the Decision Boundary of Deep Neural Networks. CoRR abs/1912.11460 (2019) - 2018
- [c7]Hamid Karimi, Courtland VanDam, Liyang Ye, Jiliang Tang:
End-to-End Compromised Account Detection. ASONAM 2018: 314-321 - [c6]Courtland VanDam, Pang-Ning Tan, Jiliang Tang, Hamid Karimi:
CADET: A Multi-View Learning Framework for Compromised Account Detection on Twitter. ASONAM 2018: 471-478 - [c5]Hamid Karimi, Jiliang Tang, Yanen Li:
Toward End-to-End Deception Detection in Videos. IEEE BigData 2018: 1278-1283 - [c4]Hamid Karimi, Proteek Roy, Sari Saba-Sadiya, Jiliang Tang:
Multi-Source Multi-Class Fake News Detection. COLING 2018: 1546-1557 - [c3]Hamid Karimi:
Interpretable Multimodal Deception Detection in Videos. ICMI 2018: 511-515 - 2013
- [j4]Amir Rahimi, Hamid Karimi, Behrouz Afshar-Nadjafi:
Using meta-heuristics for project scheduling under mode identity constraints. Appl. Soft Comput. 13(4): 2124-2135 (2013) - [j3]Hamid Karimi, Saleh Yousefi, Maghsud Solimanpur:
A segmentation approach for file broadcast scheduling. J. Parallel Distributed Comput. 73(10): 1375-1388 (2013) - 2012
- [j2]Hamid Karimi, Seyed Habib A. Rahmati, Mostafa Zandieh:
An efficient knowledge-based algorithm for the flexible job shop scheduling problem. Knowl. Based Syst. 36: 236-244 (2012) - [c2]Hamid Karimi, Saleh Yousefi, Maghsud Solimanpur, Raman Khenanisho:
Offline and online broadcast scheduling algorithms for file broadcast in mobile WiMAX. IST 2012: 615-620 - 2010
- [j1]Hamid Karimi, Mehdi Kargahi, Nasser Yazdani:
On the Handling of Node Failures: Energy-Efficient Job Allocation Algorithm for Real-time Sensor Networks. J. Inf. Process. Syst. 6(3): 413-434 (2010)
2000 – 2009
- 2009
- [c1]Hamid Karimi, Mehdi Kargahi, Nasser Yazdani:
Energy-Efficient Cluster-Based Scheme for Handling Node Failure in Real-Time Sensor Networks. DASC 2009: 143-148
Coauthor Index
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