Hoda Eldardiry

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 56

Top Topics

Attributed Graphs

Reinforcement Learning

Semantic Knowledge

Relation Extraction

Top Venues

ACM Trans. Knowl. Discov. Data

Publications

Hongjie Chen, Ryan A. Rossi, Sungchul Kim, Kanak Mahadik, Hoda Eldardiry
Evolving Super Graph Neural Networks for Large-Scale Time-Series Forecasting. PAKDD (6) (2024)
Jiaying Gong, Hoda Eldardiry
Multi-Label Zero-Shot Product Attribute-Value Extraction. WWW (2024)
Jiaying Gong, Hoda Eldardiry
Prompt-based Zero-shot Relation Extraction with Semantic Knowledge Augmentation. LREC/COLING (2024)
Hongjie Chen, Hoda Eldardiry
Graph Time-series Modeling in Deep Learning: A Survey. ACM Trans. Knowl. Discov. Data 18 (5) (2024)
Saeed Tajik Hesarkuchak, Almuatazbellah Boker, Vasanth Reddy, Lamine Mili, Hoda Eldardiry
Learning-Based Pareto Optimal Control of Large-Scale Systems With Unknown Slow Dynamics. IEEE Control. Syst. Lett. 8 (2024)
Vasanth Reddy, Almuatazbellah Boker, Hoda Eldardiry
Learning-based optimal control of linear time-varying systems over large time intervals. Syst. Control. Lett. 185 (2024)
Jiaying Gong, Hoda Eldardiry
Multi-Label Zero-Shot Product Attribute-Value Extraction. CoRR (2024)
Jiaying Gong, Hoda Eldardiry
Few-Shot Relation Extraction with Hybrid Visual Evidence. LREC/COLING (2024)
Jiaying Gong, Hoda Eldardiry
Few-Shot Relation Extraction with Hybrid Visual Evidence. CoRR (2024)
Yazan Mohammad Al-Rawashdeh, Mohammad Al Saaideh, Almuatazbellah M. Boker, Hoda Eldardiry, Marcel François Heertjes, Mohammad Al Janaideh
Trajectory Generation Using Activator-Inhibitor Systems. CDC (2023)
Jiaying Gong, Wei-Te Chen, Hoda Eldardiry
Knowledge-Enhanced Multi-Label Few-Shot Product Attribute-Value Extraction. CoRR (2023)
Vasanth Reddy, Hoda Eldardiry, Almuatazbellah Boker
Data-Driven Near-Optimal Control of Nonlinear Systems Over Finite Horizon. CoRR (2023)
Chenhan Yuan, Hoda Eldardiry
GradXKG: A Universal Explain-per-use Temporal Knowledge Graph Explainer. CoRR (2023)
Qin Zhu, Dayoung Kim, Hoda Eldardiry, Michelle C. Ausman
A Preliminary Investigation of the Ethics Policy Concerns of Artificial Intelligence: Insights from AI Professionals Working in Policy-Related Roles. FIE (2023)
Hongjie Chen, Ryan A. Rossi, Kanak Mahadik, Sungchul Kim, Hoda Eldardiry
Hypergraph Neural Networks for Time-series Forecasting. BigData (2023)
Yazan Mohammad Al-Rawashdeh, Vasanth Reddy, Mohammad Al Saaideh, Almuatazbellah Boker, Hoda Eldardiry, Mohammad Al Janaideh
Near-Optimal Trajectory Generation for Flexible Motion Systems using Two-Boundary Approach. ECC (2023)
Humaid Ahmed Desai, Amr Hilal, Hoda Eldardiry
Resource-Efficient Federated Learning for Heterogenous and Resource-Constrained Environments. CoRR (2023)
Jiaying Gong, Wei-Te Chen, Hoda Eldardiry
Knowledge-Enhanced Multi-Label Few-Shot Product Attribute-Value Extraction. CIKM (2023)
Vishvendra Rustagi, Vasanth Reddy, Almuatazbellah Boker, Cornel Sultan, Hoda Eldardiry
Efficient Near-Optimal Control of Large-Size Second-Order Linear Time-Varying Systems. IEEE Control. Syst. Lett. 7 (2023)
Hongjie Chen, Ryan A. Rossi, Kanak Mahadik, Sungchul Kim, Hoda Eldardiry
Graph Deep Factors for Probabilistic Time-series Forecasting. ACM Trans. Knowl. Discov. Data 17 (2) (2023)
Afrina Tabassum, Muntasir Wahed, Hoda Eldardiry, Ismini Lourentzou
Hard Negative Sampling Strategies for Contrastive Representation Learning. CoRR (2022)
Chenhan Yuan, Ryan A. Rossi, Andrew Katz, Hoda Eldardiry
Clustering-based Unsupervised Generative Relation Extraction. Big Data (2022)
Nesreen K. Ahmed, Ryan A. Rossi, John Boaz Lee, Theodore L. Willke, Rong Zhou, Xiangnan Kong, Hoda Eldardiry
Role-Based Graph Embeddings. IEEE Trans. Knowl. Data Eng. 34 (5) (2022)
Vasanth Reddy, Hoda Eldardiry, Almuatazbellah Boker
Singular Perturbation-based Reinforcement Learning of Two-Point Boundary Optimal Control Systems. ACC (2022)
Jiaying Gong, Hoda Eldardiry
Multi-stage Hybrid Attentive Networks for Knowledge-Driven Stock Movement Prediction. ICONIP (4) (2021)
Jiaying Gong, Hoda Eldardiry
Prompt-based Zero-shot Relation Classification with Semantic Knowledge Augmentation. CoRR (2021)
Milad Afzalan, Farrokh Jazizadeh, Hoda Eldardiry
Two-Stage Clustering of Household Electricity Load Shapes for Improved Temporal Pattern Representation. IEEE Access 9 (2021)
Chenhan Yuan, Hoda Eldardiry
Unsupervised Relation Extraction: A Variational Autoencoder Approach. EMNLP (1) (2021)
Hongjie Chen, Ryan A. Rossi, Kanak Mahadik, Hoda Eldardiry
Context Integrated Relational Spatio-Temporal Resource Forecasting. IEEE BigData (2021)
Vasanth Reddy, Hoda Eldardiry, Almuatazbellah Boker
Singular Perturbation-based Reinforcement Learning of Two-Point Boundary Optimal Control Systems. CoRR (2021)
Jiaying Gong, Hoda Eldardiry
Zero-shot Relation Classification from Side Information. CIKM (2021)
Jiaying Gong, Bradley Paye, Gregory Kadlec, Hoda Eldardiry
Predicting Stock Price Movement Using Financial News Sentiment. EANN (2021)
Hongjie Chen, Ryan A. Rossi, Kanak Mahadik, Sungchul Kim, Hoda Eldardiry
Graph Deep Factors for Forecasting with Applications to Cloud Resource Allocation. KDD (2021)
Chenhan Yuan, Ryan A. Rossi, Andrew Katz, Hoda Eldardiry
Clustering-based Unsupervised Generative Relation Extraction. CoRR (2020)
Hongjie Chen, Ryan A. Rossi, Kanak Mahadik, Hoda Eldardiry
A Context Integrated Relational Spatio-Temporal Model for Demand and Supply Forecasting. CoRR (2020)
Chenhan Yuan, Ryan A. Rossi, Andrew Katz, Hoda Eldardiry
Reinforcement Learning-based N-ary Cross-Sentence Relation Extraction. CoRR (2020)
Seifeldeen Eteifa, Hesham A. Rakha, Hoda Eldardiry
Predicting Coordinated Actuated Traffic Signal Change Times using LSTM Neural Networks. CoRR (2020)
Milad Afzalan, Farrokh Jazizadeh, Hoda Eldardiry
Two-stage building energy consumption clustering based on temporal and peak demand patterns. CoRR (2020)
Hongjie Chen, Ryan A. Rossi, Kanak Mahadik, Sungchul Kim, Hoda Eldardiry
Graph Deep Factors for Forecasting. CoRR (2020)
Eslam Hussein, Hoda Eldardiry
Investigating Misinformation in Online Marketplaces: An Audit Study on Amazon. CoRR (2020)
Jiaying Gong, Hoda Eldardiry
Zero-shot Learning for Relation Extraction. CoRR (2020)
Hoda Eldardiry, Jennifer Neville, Ryan A. Rossi
Ensemble Learning for Relational Data. J. Mach. Learn. Res. 21 (2020)
Vanishree Rao, Yunhui Long, Hoda Eldardiry, Shantanu Rane, Ryan A. Rossi, Frank Torres
Secure Two-Party Feature Selection. CoRR (2019)
Gaurang Gavai, Hoda Eldardiry, Wencheng Wu, Beilei Xu, Yoshihiro Komatsu, Shigeki Makino
Hybrid image-based defect detection for railroad maintenance. IMSE (2019)
Shiwali Mohan, Kalai Ramea, Bob Price, Matthew Shreve, Hoda Eldardiry, Les Nelson
Building Jarvis - A Learner-Aware Conversational Trainer. IUI Workshops (2019)
Francisco Torres, Hoda Eldardiry, Gaurang Gavai, Chad Ramos
Collaborative Learning of Concept Representations for Video Data. AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering (2019)
Ryan A. Rossi, Rong Zhou, Nesreen K. Ahmed, Hoda Eldardiry
Relational Similarity Machines (RSM): A Similarity-based Learning Framework for Graphs. IEEE BigData (2018)
Ryan A. Rossi, Nesreen K. Ahmed, Hoda Eldardiry, Rong Zhou
Similarity-based Multi-label Learning. IJCNN (2018)
Nesreen K. Ahmed, Ryan A. Rossi, John Boaz Lee, Xiangnan Kong, Theodore L. Willke, Rong Zhou, Hoda Eldardiry
Learning Role-based Graph Embeddings. CoRR (2018)
Ryan A. Rossi, Nesreen K. Ahmed, Rong Zhou, Hoda Eldardiry
Interactive Visual Graph Mining and Learning. ACM Trans. Intell. Syst. Technol. 9 (5) (2018)
Nesreen K. Ahmed, Ryan A. Rossi, Rong Zhou, John Boaz Lee, Xiangnan Kong, Theodore L. Willke, Hoda Eldardiry
Representation Learning in Large Attributed Graphs. CoRR (2017)
Nesreen K. Ahmed, Ryan A. Rossi, Rong Zhou, John Boaz Lee, Xiangnan Kong, Theodore L. Willke, Hoda Eldardiry
A Framework for Generalizing Graph-based Representation Learning Methods. CoRR (2017)
Ryan A. Rossi, Nesreen K. Ahmed, Hoda Eldardiry, Rong Zhou
Similarity-based Multi-label Learning. CoRR (2017)
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
Reports of the Workshops of the Thirty-First AAAI Conference on Artificial Intelligence. AI Mag. 38 (3) (2017)
Rui Abreu, Dave Archer, Erin Chapman, James Cheney, Hoda Eldardiry, Adrià Gascón
Provenance Segmentation. TaPP (2016)
Jonathan Rubin, Rui Abreu, Shane Ahern, Hoda Eldardiry, Daniel G. Bobrow
Time, frequency & complexity analysis for recognizing panic states from physiologic time-series. PervasiveHealth (2016)
Jonathan Rubin, Hoda Eldardiry, Rui Abreu, Shane Ahern, Honglu Du, Ashish Pattekar, Daniel G. Bobrow
Towards a mobile and wearable system for predicting panic attacks. UbiComp (2015)
Tomonori Honda, Linxia Liao, Hoda Eldardiry, Bhaskar Saha, Rui Abreu, Radu Pavel, Jonathan Iverson
Device Health Estimation by Combining Contextual Control Information with Sensor Data. DX (2015)
Luis Cruz, Jonathan Rubin, Rui Abreu, Shane Ahern, Hoda Eldardiry, Daniel G. Bobrow
A wearable and mobile intervention delivery system for individuals with panic disorder. MUM (2015)
Rui Abreu, Daniel G. Bobrow, Hoda Eldardiry, Alexander Feldman, John Hanley, Tomonori Honda, Johan de Kleer, Alexandre Perez, Dave Archer, David Burke
Diagnosing Advanced Persistent Threats: A Position Paper. DX (2015)
Hoda Eldardiry, Kumar Sricharan, Juan Liu, John Hanley, Bob Price, Oliver Brdiczka, Eugene Bart
Multi-source fusion for anomaly detection: using across-domain and across-time peer-group consistency checks. J. Wirel. Mob. Networks Ubiquitous Comput. Dependable Appl. 5 (2) (2014)
Mark Stefik, Hoda Eldardiry
Ganging up on big data computer-intermediated collaborative analysis. CTS (2014)
Hoda Eldardiry, Evgeniy Bart, Juan Liu, John Hanley, Bob Price, Oliver Brdiczka
Multi-Domain Information Fusion for Insider Threat Detection. IEEE Symposium on Security and Privacy Workshops (2013)
Hoda Eldardiry, Jennifer Neville
An analysis of how ensembles of collective classifiers improve predictions in graphs. CIKM (2012)
Hoda Eldardiry
Ensemble Classification for Relational Domains. AAAI (2011)
Hoda Eldardiry, Jennifer Neville
Across-Model Collective Ensemble Classification. AAAI (2011)
Hoda Eldardiry, Jennifer Neville
Multi-network fusion for collective inference. MLG@KDD (2010)