Hoda Eldardiry

According to our database, Hoda Eldardiry authored at least 66 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Graph Time-series Modeling in Deep Learning: A Survey.

Hongjie Chen, Hoda Eldardiry

ACM Trans. Knowl. Discov. Data, June, 2024

Learning-based optimal control of linear time-varying systems over large time intervals.

Vasanth Reddy, Almuatazbellah Boker, Hoda Eldardiry

Syst. Control. Lett., 2024

Learning-Based Pareto Optimal Control of Large-Scale Systems With Unknown Slow Dynamics.

Saeed Tajik Hesarkuchak, Almuatazbellah Boker, Vasanth Reddy, Lamine Mili, Hoda Eldardiry

IEEE Control. Syst. Lett., 2024

VTechAGP: An Academic-to-General-Audience Text Paraphrase Dataset and Benchmark Models.

Ming Cheng, Jiaying Gong, Chenhan Yuan, William A. Ingram, Edward A. Fox, Hoda Eldardiry

CoRR, 2024

Learning Emergence of Interaction Patterns across Independent RL Agents in Multi-Agent Environments.

Vasanth Reddy, Suat Gumussoy, Almuatazbellah Boker, Hoda Eldardiry

CoRR, 2024

Multi-Label Zero-Shot Product Attribute-Value Extraction.

Jiaying Gong, Hoda Eldardiry

Proceedings of the ACM on Web Conference 2024, 2024

Evolving Super Graph Neural Networks for Large-Scale Time-Series Forecasting.

Hongjie Chen, Ryan A. Rossi, Sungchul Kim, Kanak Mahadik, Hoda Eldardiry

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2024

Computer Science Student Attitudes Towards AI Ethics and Policy: A Preliminary Investigation.

James Weichert, Hoda Eldardiry

Proceedings of the IEEE International Symposium on Technology and Society, 2024

Prompt-based Zero-shot Relation Extraction with Semantic Knowledge Augmentation.

Jiaying Gong, Hoda Eldardiry

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Few-Shot Relation Extraction with Hybrid Visual Evidence.

Jiaying Gong, Hoda Eldardiry

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Searching for Sparse Controllers with a Budget: A Bottom-Up Approach.

Vasanth Reddy, Suat Gumussoy, Hoda Eldardiry, Almuatazbellah Boker

Proceedings of the American Control Conference, 2024

2023

Graph Deep Factors for Probabilistic Time-series Forecasting.

Hongjie Chen, Ryan A. Rossi, Kanak Mahadik, Sungchul Kim, Hoda Eldardiry

ACM Trans. Knowl. Discov. Data, February, 2023

Efficient Near-Optimal Control of Large-Size Second-Order Linear Time-Varying Systems.

Vishvendra Rustagi, Vasanth Reddy, Almuatazbellah Boker, Cornel Sultan, Hoda Eldardiry

IEEE Control. Syst. Lett., 2023

GradXKG: A Universal Explain-per-use Temporal Knowledge Graph Explainer.

Chenhan Yuan, Hoda Eldardiry

CoRR, 2023

Resource-Efficient Federated Learning for Heterogenous and Resource-Constrained Environments.

Humaid Ahmed Desai, Amr Hilal, Hoda Eldardiry

CoRR, 2023

Data-Driven Near-Optimal Control of Nonlinear Systems Over Finite Horizon.

Vasanth Reddy, Hoda Eldardiry, Almuatazbellah Boker

CoRR, 2023

A Preliminary Investigation of the Ethics Policy Concerns of Artificial Intelligence: Insights from AI Professionals Working in Policy-Related Roles.

Qin Zhu, Dayoung Kim, Hoda Eldardiry, Michelle C. Ausman

Proceedings of the IEEE Frontiers in Education Conference, 2023

Near-Optimal Trajectory Generation for Flexible Motion Systems using Two-Boundary Approach.

Yazan Mohammad Al-Rawashdeh, Vasanth Reddy, Mohammad Al Saaideh, Almuatazbellah Boker, Hoda Eldardiry, Mohammad Al Janaideh

Proceedings of the European Control Conference, 2023

Knowledge-Enhanced Multi-Label Few-Shot Product Attribute-Value Extraction.

Jiaying Gong, Wei-Te Chen, Hoda Eldardiry

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Trajectory Generation Using Activator-Inhibitor Systems.

Yazan Mohammad Al-Rawashdeh, Mohammad Al Saaideh, Almuatazbellah M. Boker, Hoda Eldardiry, Marcel François Heertjes, Mohammad Al Janaideh

Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

Hypergraph Neural Networks for Time-series Forecasting.

Hongjie Chen, Ryan A. Rossi, Kanak Mahadik, Sungchul Kim, Hoda Eldardiry

Proceedings of the IEEE International Conference on Big Data, 2023

2022

Role-Based Graph Embeddings.

Nesreen K. Ahmed, Ryan A. Rossi, John Boaz Lee, Theodore L. Willke, Rong Zhou, Xiangnan Kong, Hoda Eldardiry

IEEE Trans. Knowl. Data Eng., 2022

Hard Negative Sampling Strategies for Contrastive Representation Learning.

Afrina Tabassum, Muntasir Wahed, Hoda Eldardiry, Ismini Lourentzou

CoRR, 2022

Clustering-based Unsupervised Generative Relation Extraction.

Chenhan Yuan, Ryan A. Rossi, Andrew Katz, Hoda Eldardiry

Proceedings of the IEEE International Conference on Big Data, 2022

Singular Perturbation-based Reinforcement Learning of Two-Point Boundary Optimal Control Systems.

Vasanth Reddy, Hoda Eldardiry, Almuatazbellah Boker

Proceedings of the American Control Conference, 2022

2021

Prompt-based Zero-shot Relation Classification with Semantic Knowledge Augmentation.

Jiaying Gong, Hoda Eldardiry

CoRR, 2021

Two-Stage Clustering of Household Electricity Load Shapes for Improved Temporal Pattern Representation.

Milad Afzalan, Farrokh Jazizadeh, Hoda Eldardiry

IEEE Access, 2021

Graph Deep Factors for Forecasting with Applications to Cloud Resource Allocation.

Hongjie Chen, Ryan A. Rossi, Kanak Mahadik, Sungchul Kim, Hoda Eldardiry

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Multi-stage Hybrid Attentive Networks for Knowledge-Driven Stock Movement Prediction.

Jiaying Gong, Hoda Eldardiry

Proceedings of the Neural Information Processing - 28th International Conference, 2021

Unsupervised Relation Extraction: A Variational Autoencoder Approach.

Chenhan Yuan, Hoda Eldardiry

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Predicting Stock Price Movement Using Financial News Sentiment.

Jiaying Gong, Bradley Paye, Gregory Kadlec, Hoda Eldardiry

Proceedings of the 22nd Engineering Applications of Neural Networks Conference, 2021

Zero-shot Relation Classification from Side Information.

Jiaying Gong, Hoda Eldardiry

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Context Integrated Relational Spatio-Temporal Resource Forecasting.

Hongjie Chen, Ryan A. Rossi, Kanak Mahadik, Hoda Eldardiry

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020

Ensemble Learning for Relational Data.

Hoda Eldardiry, Jennifer Neville, Ryan A. Rossi

J. Mach. Learn. Res., 2020

Zero-shot Learning for Relation Extraction.

Jiaying Gong, Hoda Eldardiry

CoRR, 2020

Graph Deep Factors for Forecasting.

Hongjie Chen, Ryan A. Rossi, Kanak Mahadik, Sungchul Kim, Hoda Eldardiry

CoRR, 2020

Reinforcement Learning-based N-ary Cross-Sentence Relation Extraction.

Chenhan Yuan, Ryan A. Rossi, Andrew Katz, Hoda Eldardiry

CoRR, 2020

A Context Integrated Relational Spatio-Temporal Model for Demand and Supply Forecasting.

Hongjie Chen, Ryan A. Rossi, Kanak Mahadik, Hoda Eldardiry

CoRR, 2020

Investigating Misinformation in Online Marketplaces: An Audit Study on Amazon.

Eslam Hussein, Hoda Eldardiry

CoRR, 2020

Predicting Coordinated Actuated Traffic Signal Change Times using LSTM Neural Networks.

Seifeldeen Eteifa, Hesham A. Rakha, Hoda Eldardiry

CoRR, 2020

Two-stage building energy consumption clustering based on temporal and peak demand patterns.

Milad Afzalan, Farrokh Jazizadeh, Hoda Eldardiry

CoRR, 2020

2019

Secure Two-Party Feature Selection.

Vanishree Rao, Yunhui Long, Hoda Eldardiry, Shantanu Rane, Ryan A. Rossi, Frank Torres

CoRR, 2019

Building Jarvis - A Learner-Aware Conversational Trainer.

Shiwali Mohan, Kalai Ramea, Bob Price, Matthew Shreve, Hoda Eldardiry, Les Nelson

Proceedings of the Joint Proceedings of the ACM IUI 2019 Workshops co-located with the 24th ACM Conference on Intelligent User Interfaces (ACM IUI 2019), 2019

Hybrid image-based defect detection for railroad maintenance.

Gaurang Gavai, Hoda Eldardiry, Wencheng Wu, Beilei Xu, Yoshihiro Komatsu, Shigeki Makino

Proceedings of the Image Sensors and Imaging Systems 2019, 2019

Collaborative Learning of Concept Representations for Video Data.

Francisco Torres, Hoda Eldardiry, Gaurang Gavai, Chad Ramos

Proceedings of the AAAI 2019 Spring Symposium on Combining Machine Learning with Knowledge Engineering (AAAI-MAKE 2019) Stanford University, 2019

2018

Interactive Visual Graph Mining and Learning.

Ryan A. Rossi, Nesreen K. Ahmed, Rong Zhou, Hoda Eldardiry

ACM Trans. Intell. Syst. Technol., 2018

Learning Role-based Graph Embeddings.

Nesreen K. Ahmed, Ryan A. Rossi, John Boaz Lee, Xiangnan Kong, Theodore L. Willke, Rong Zhou, Hoda Eldardiry

CoRR, 2018

Similarity-based Multi-label Learning.

Ryan A. Rossi, Nesreen K. Ahmed, Hoda Eldardiry, Rong Zhou

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Relational Similarity Machines (RSM): A Similarity-based Learning Framework for Graphs.

Ryan A. Rossi, Rong Zhou, Nesreen K. Ahmed, Hoda Eldardiry

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

2017

Representation Learning in Large Attributed Graphs.

Nesreen K. Ahmed, Ryan A. Rossi, Rong Zhou, John Boaz Lee, Xiangnan Kong, Theodore L. Willke, Hoda Eldardiry

CoRR, 2017

A Framework for Generalizing Graph-based Representation Learning Methods.

Nesreen K. Ahmed, Ryan A. Rossi, Rong Zhou, John Boaz Lee, Xiangnan Kong, Theodore L. Willke, Hoda Eldardiry

CoRR, 2017

Reports of the Workshops of the Thirty-First AAAI Conference on Artificial Intelligence.

Monica Anderson, Roman Barták, John S. Brownstein, David L. Buckeridge, Hoda Eldardiry, Christopher W. Geib, Maria L. Gini, Aaron Isaksen, Sarah Keren, Robert Laddaga, Viliam Lisý, Rodney Martin, David R. Martinez, Martin Michalowski, Loizos Michael, Reuth Mirsky, Thanh Hai Nguyen, Michael J. Paul, Enrico Pontelli, Scott Sanner, Arash Shaban-Nejad, Arunesh Sinha, Shirin Sohrabi, Kumar Sricharan, Biplav Srivastava, Mark Stefik, William W. Streilein, Nathan R. Sturtevant, Kartik Talamadupula, Michael Thielscher, Julian Togelius, Tran Cao Son, Long Tran-Thanh, Neal Wagner, Byron C. Wallace, Szymon Wilk, Jichen Zhu

AI Mag., 2017

2016

Provenance Segmentation.

Rui Abreu, Dave Archer, Erin Chapman, James Cheney, Hoda Eldardiry, Adrià Gascón

Proceedings of the 8th USENIX Workshop on the Theory and Practice of Provenance, 2016

Time, frequency & complexity analysis for recognizing panic states from physiologic time-series.

Jonathan Rubin, Rui Abreu, Shane Ahern, Hoda Eldardiry, Daniel G. Bobrow

Proceedings of the 10th EAI International Conference on Pervasive Computing Technologies for Healthcare, 2016

2015

Device Health Estimation by Combining Contextual Control Information with Sensor Data.

Tomonori Honda, Linxia Liao, Hoda Eldardiry, Bhaskar Saha, Rui Abreu, Radu Pavel, Jonathan Iverson

Proceedings of the 26th International Workshop on Principles of Diagnosis (DX-2015) co-located with 9th IFAC Symposium on Fault Detection, Supervision and Safety for Technical Processes (Safeprocess 2015), Paris, France, August 31, 2015

Diagnosing Advanced Persistent Threats: A Position Paper.

Rui Abreu, Daniel G. Bobrow, Hoda Eldardiry, Alexander Feldman, John Hanley, Tomonori Honda, Johan de Kleer, Alexandre Perez, Dave Archer, David Burke

Proceedings of the 26th International Workshop on Principles of Diagnosis (DX-2015) co-located with 9th IFAC Symposium on Fault Detection, Supervision and Safety for Technical Processes (Safeprocess 2015), Paris, France, August 31, 2015

A wearable and mobile intervention delivery system for individuals with panic disorder.

Luis Cruz, Jonathan Rubin, Rui Abreu, Shane Ahern, Hoda Eldardiry, Daniel G. Bobrow

Proceedings of the 14th International Conference on Mobile and Ubiquitous Multimedia, Linz, Austria, November 30, 2015

Towards a mobile and wearable system for predicting panic attacks.

Jonathan Rubin, Hoda Eldardiry, Rui Abreu, Shane Ahern, Honglu Du, Ashish Pattekar, Daniel G. Bobrow

Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2015

2014

Multi-source fusion for anomaly detection: using across-domain and across-time peer-group consistency checks.

Hoda Eldardiry, Kumar Sricharan, Juan Liu, John Hanley, Bob Price, Oliver Brdiczka, Eugene Bart

J. Wirel. Mob. Networks Ubiquitous Comput. Dependable Appl., 2014

Ganging up on big data computer-intermediated collaborative analysis.

Mark Stefik, Hoda Eldardiry

Proceedings of the 2014 International Conference on Collaboration Technologies and Systems, 2014

2013

Multi-Domain Information Fusion for Insider Threat Detection.

Hoda Eldardiry, Evgeniy Bart, Juan Liu, John Hanley, Bob Price, Oliver Brdiczka

Proceedings of the 2013 IEEE Symposium on Security and Privacy Workshops, 2013

2012

Ensemble classification techniques for relational domains

Hoda Eldardiry

PhD thesis, 2012

An analysis of how ensembles of collective classifiers improve predictions in graphs.

Hoda Eldardiry, Jennifer Neville

Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

2011

Across-Model Collective Ensemble Classification.

Hoda Eldardiry, Jennifer Neville

Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011

Ensemble Classification for Relational Domains.

Hoda Eldardiry

Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011

2010

Multi-network fusion for collective inference.

Hoda Eldardiry, Jennifer Neville

Proceedings of the Eighth Workshop on Mining and Learning with Graphs, 2010