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ORCIDHoda Eldardiry
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2020 – today
- 2024
[j11]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: 838-843 (2024)- [j10]Vasanth Reddy, Almuatazbellah Boker, Hoda Eldardiry:
Learning-based optimal control of linear time-varying systems over large time intervals. Syst. Control. Lett. 185: 105750 (2024) - [j9]Hongjie Chen, Hoda Eldardiry:
Graph Time-series Modeling in Deep Learning: A Survey. ACM Trans. Knowl. Discov. Data 18(5): 119:1-119:35 (2024) - [c35]Vasanth Reddy, Suat Gumussoy, Hoda Eldardiry, Almuatazbellah Boker:
Searching for Sparse Controllers with a Budget: A Bottom-Up Approach. ACC 2024: 3674-3679 - [c34]Jiaying Gong, Hoda Eldardiry:
Few-Shot Relation Extraction with Hybrid Visual Evidence. LREC/COLING 2024: 7232-7247 - [c33]Jiaying Gong, Hoda Eldardiry:
Prompt-based Zero-shot Relation Extraction with Semantic Knowledge Augmentation. LREC/COLING 2024: 13143-13156 - [c32]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: 201-212 - [c31]Jiaying Gong, Hoda Eldardiry:
Multi-Label Zero-Shot Product Attribute-Value Extraction. WWW 2024: 2259-2270 - [i23]Jiaying Gong, Hoda Eldardiry:
Multi-Label Zero-Shot Product Attribute-Value Extraction. CoRR abs/2402.08802 (2024) - [i22]Jiaying Gong, Hoda Eldardiry:
Few-Shot Relation Extraction with Hybrid Visual Evidence. CoRR abs/2403.00724 (2024) - [i21]Vasanth Reddy, Suat Gumussoy, Almuatazbellah Boker, Hoda Eldardiry:
Learning Emergence of Interaction Patterns across Independent RL Agents in Multi-Agent Environments. CoRR abs/2410.02516 (2024) - 2023
- [j8]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: 3878-3883 (2023) - [j7]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): 26:1-26:30 (2023) - [c30]Hongjie Chen, Ryan A. Rossi, Kanak Mahadik, Sungchul Kim, Hoda Eldardiry:
Hypergraph Neural Networks for Time-series Forecasting. IEEE Big Data 2023: 1076-1080 - [c29]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: 8857-8863 - [c28]Jiaying Gong, Wei-Te Chen, Hoda Eldardiry:
Knowledge-Enhanced Multi-Label Few-Shot Product Attribute-Value Extraction. CIKM 2023: 3902-3907 - [c27]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: 1-6 - [c26]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: 1-4 - [i20]Vasanth Reddy, Hoda Eldardiry, Almuatazbellah Boker:
Data-Driven Near-Optimal Control of Nonlinear Systems Over Finite Horizon. CoRR abs/2306.05482 (2023) - [i19]Jiaying Gong, Wei-Te Chen, Hoda Eldardiry:
Knowledge-Enhanced Multi-Label Few-Shot Product Attribute-Value Extraction. CoRR abs/2308.08413 (2023) - [i18]Humaid Ahmed Desai, Amr Hilal, Hoda Eldardiry:
Resource-Efficient Federated Learning for Heterogenous and Resource-Constrained Environments. CoRR abs/2308.13662 (2023) - [i17]Chenhan Yuan, Hoda Eldardiry:
GradXKG: A Universal Explain-per-use Temporal Knowledge Graph Explainer. CoRR abs/2310.04889 (2023) - 2022
- [j6]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): 2401-2415 (2022) - [c25]Vasanth Reddy, Hoda Eldardiry, Almuatazbellah Boker:
Singular Perturbation-based Reinforcement Learning of Two-Point Boundary Optimal Control Systems. ACC 2022: 3323-3328 - [c24]Chenhan Yuan, Ryan A. Rossi, Andrew Katz, Hoda Eldardiry:
Clustering-based Unsupervised Generative Relation Extraction. IEEE Big Data 2022: 812-817 - [i16]Afrina Tabassum, Muntasir Wahed, Hoda Eldardiry, Ismini Lourentzou:
Hard Negative Sampling Strategies for Contrastive Representation Learning. CoRR abs/2206.01197 (2022) - 2021
- [j5]Milad Afzalan, Farrokh Jazizadeh, Hoda Eldardiry:
Two-Stage Clustering of Household Electricity Load Shapes for Improved Temporal Pattern Representation. IEEE Access 9: 151667-151680 (2021) - [c23]Hongjie Chen, Ryan A. Rossi, Kanak Mahadik, Hoda Eldardiry:
Context Integrated Relational Spatio-Temporal Resource Forecasting. IEEE BigData 2021: 1359-1368 - [c22]Jiaying Gong, Hoda Eldardiry:
Zero-shot Relation Classification from Side Information. CIKM 2021: 576-585 - [c21]Jiaying Gong, Bradley Paye, Gregory Kadlec, Hoda Eldardiry:
Predicting Stock Price Movement Using Financial News Sentiment. EANN 2021: 503-517 - [c20]Chenhan Yuan, Hoda Eldardiry:
Unsupervised Relation Extraction: A Variational Autoencoder Approach. EMNLP (1) 2021: 1929-1938 - [c19]Jiaying Gong, Hoda Eldardiry:
Multi-stage Hybrid Attentive Networks for Knowledge-Driven Stock Movement Prediction. ICONIP (4) 2021: 501-513 - [c18]Hongjie Chen, Ryan A. Rossi, Kanak Mahadik, Sungchul Kim, Hoda Eldardiry:
Graph Deep Factors for Forecasting with Applications to Cloud Resource Allocation. KDD 2021: 106-116 - [i15]Vasanth Reddy, Hoda Eldardiry, Almuatazbellah Boker:
Singular Perturbation-based Reinforcement Learning of Two-Point Boundary Optimal Control Systems. CoRR abs/2104.09652 (2021) - [i14]Jiaying Gong, Hoda Eldardiry:
Prompt-based Zero-shot Relation Classification with Semantic Knowledge Augmentation. CoRR abs/2112.04539 (2021) - 2020
- [j4]Hoda Eldardiry, Jennifer Neville, Ryan A. Rossi:
Ensemble Learning for Relational Data. J. Mach. Learn. Res. 21: 49:1-49:37 (2020) - [i13]Milad Afzalan, Farrokh Jazizadeh, Hoda Eldardiry:
Two-stage building energy consumption clustering based on temporal and peak demand patterns. CoRR abs/2008.04293 (2020) - [i12]Seifeldeen Eteifa, Hesham A. Rakha, Hoda Eldardiry:
Predicting Coordinated Actuated Traffic Signal Change Times using LSTM Neural Networks. CoRR abs/2008.08035 (2020) - [i11]Eslam Hussein, Hoda Eldardiry:
Investigating Misinformation in Online Marketplaces: An Audit Study on Amazon. CoRR abs/2009.12468 (2020) - [i10]Hongjie Chen, Ryan A. Rossi, Kanak Mahadik, Hoda Eldardiry:
A Context Integrated Relational Spatio-Temporal Model for Demand and Supply Forecasting. CoRR abs/2009.12469 (2020) - [i9]Chenhan Yuan, Ryan A. Rossi, Andrew Katz, Hoda Eldardiry:
Clustering-based Unsupervised Generative Relation Extraction. CoRR abs/2009.12681 (2020) - [i8]Chenhan Yuan, Ryan A. Rossi, Andrew Katz, Hoda Eldardiry:
Reinforcement Learning-based N-ary Cross-Sentence Relation Extraction. CoRR abs/2009.12683 (2020) - [i7]Hongjie Chen, Ryan A. Rossi, Kanak Mahadik, Sungchul Kim, Hoda Eldardiry:
Graph Deep Factors for Forecasting. CoRR abs/2010.07373 (2020) - [i6]Jiaying Gong, Hoda Eldardiry:
Zero-shot Learning for Relation Extraction. CoRR abs/2011.07126 (2020)
2010 – 2019
- 2019
- [c17]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 - [c16]Gaurang Gavai, Hoda Eldardiry, Wencheng Wu, Beilei Xu, Yoshihiro Komatsu, Shigeki Makino:
Hybrid image-based defect detection for railroad maintenance. IMSE 2019: 1-7 - [c15]Shiwali Mohan, Kalai Ramea, Bob Price, Matthew Shreve, Hoda Eldardiry, Les Nelson:
Building Jarvis - A Learner-Aware Conversational Trainer. IUI Workshops 2019 - [i5]Vanishree Rao, Yunhui Long, Hoda Eldardiry, Shantanu Rane, Ryan A. Rossi, Frank Torres:
Secure Two-Party Feature Selection. CoRR abs/1901.00832 (2019) - 2018
- [j3]Ryan A. Rossi, Nesreen K. Ahmed, Rong Zhou, Hoda Eldardiry:
Interactive Visual Graph Mining and Learning. ACM Trans. Intell. Syst. Technol. 9(5): 59:1-59:25 (2018) - [c14]Ryan A. Rossi, Rong Zhou, Nesreen K. Ahmed, Hoda Eldardiry:
Relational Similarity Machines (RSM): A Similarity-based Learning Framework for Graphs. IEEE BigData 2018: 1807-1816 - [c13]Ryan A. Rossi, Nesreen K. Ahmed, Hoda Eldardiry, Rong Zhou:
Similarity-based Multi-label Learning. IJCNN 2018: 1-8 - [i4]Nesreen K. Ahmed, Ryan A. Rossi, John Boaz Lee, Xiangnan Kong, Theodore L. Willke, Rong Zhou, Hoda Eldardiry:
Learning Role-based Graph Embeddings. CoRR abs/1802.02896 (2018) - 2017
- [j2]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): 72-82 (2017) - [i3]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 abs/1709.04596 (2017) - [i2]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 abs/1710.09471 (2017) - [i1]Ryan A. Rossi, Nesreen K. Ahmed, Hoda Eldardiry, Rong Zhou:
Similarity-based Multi-label Learning. CoRR abs/1710.10335 (2017) - 2016
- [c12]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: 81-88 - [c11]Rui Abreu, Dave Archer, Erin Chapman, James Cheney, Hoda Eldardiry, Adrià Gascón:
Provenance Segmentation. TaPP 2016 - 2015
- [c10]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: 529-533 - [c9]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: 175-182 - [c8]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: 193-200 - [c7]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: 209-216 - 2014
- [j1]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): 39-58 (2014) - [c6]Mark Stefik, Hoda Eldardiry:
Ganging up on big data computer-intermediated collaborative analysis. CTS 2014: 474-477 - 2013
- [c5]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: 45-51 - 2012
- [b1]Hoda Eldardiry:
Ensemble classification techniques for relational domains. Purdue University, USA, 2012 - [c4]Hoda Eldardiry, Jennifer Neville:
An analysis of how ensembles of collective classifiers improve predictions in graphs. CIKM 2012: 225-234 - 2011
- [c3]Hoda Eldardiry:
Ensemble Classification for Relational Domains. AAAI 2011 - [c2]Hoda Eldardiry, Jennifer Neville:
Across-Model Collective Ensemble Classification. AAAI 2011: 343-349 - 2010
- [c1]Hoda Eldardiry, Jennifer Neville:
Multi-network fusion for collective inference. MLG@KDD 2010: 46-54
Coauthor Index
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last updated on 2024-11-08 20:31 CET by the dblp team
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