Hoda Eldardiry

Orcid: 0000-0002-9712-6667

According to our database1, Hoda Eldardiry authored at least 56 papers between 2010 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Few-Shot Relation Extraction with Hybrid Visual Evidence.
CoRR, 2024

Multi-Label Zero-Shot Product Attribute-Value Extraction.
CoRR, 2024

2023
Graph Deep Factors for Probabilistic Time-series Forecasting.
ACM Trans. Knowl. Discov. Data, February, 2023

Efficient Near-Optimal Control of Large-Size Second-Order Linear Time-Varying Systems.
IEEE Control. Syst. Lett., 2023

GradXKG: A Universal Explain-per-use Temporal Knowledge Graph Explainer.
CoRR, 2023

Resource-Efficient Federated Learning for Heterogenous and Resource-Constrained Environments.
CoRR, 2023

Data-Driven Near-Optimal Control of Nonlinear Systems Over Finite Horizon.
CoRR, 2023

A Preliminary Investigation of the Ethics Policy Concerns of Artificial Intelligence: Insights from AI Professionals Working in Policy-Related Roles.
Proceedings of the IEEE Frontiers in Education Conference, 2023

Near-Optimal Trajectory Generation for Flexible Motion Systems using Two-Boundary Approach.
Proceedings of the European Control Conference, 2023

Knowledge-Enhanced Multi-Label Few-Shot Product Attribute-Value Extraction.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Trajectory Generation Using Activator-Inhibitor Systems.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

Hypergraph Neural Networks for Time-series Forecasting.
Proceedings of the IEEE International Conference on Big Data, 2023

2022
Role-Based Graph Embeddings.
IEEE Trans. Knowl. Data Eng., 2022

Hard Negative Sampling Strategies for Contrastive Representation Learning.
CoRR, 2022

Clustering-based Unsupervised Generative Relation Extraction.
Proceedings of the IEEE International Conference on Big Data, 2022

Singular Perturbation-based Reinforcement Learning of Two-Point Boundary Optimal Control Systems.
Proceedings of the American Control Conference, 2022

2021
Prompt-based Zero-shot Relation Classification with Semantic Knowledge Augmentation.
CoRR, 2021

Two-Stage Clustering of Household Electricity Load Shapes for Improved Temporal Pattern Representation.
IEEE Access, 2021

Graph Deep Factors for Forecasting with Applications to Cloud Resource Allocation.
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.
Proceedings of the Neural Information Processing - 28th International Conference, 2021

Unsupervised Relation Extraction: A Variational Autoencoder Approach.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Predicting Stock Price Movement Using Financial News Sentiment.
Proceedings of the 22nd Engineering Applications of Neural Networks Conference, 2021

Zero-shot Relation Classification from Side Information.
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.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020
Ensemble Learning for Relational Data.
J. Mach. Learn. Res., 2020

Zero-shot Learning for Relation Extraction.
CoRR, 2020

Graph Deep Factors for Forecasting.
CoRR, 2020

Reinforcement Learning-based N-ary Cross-Sentence Relation Extraction.
CoRR, 2020

A Context Integrated Relational Spatio-Temporal Model for Demand and Supply Forecasting.
CoRR, 2020

Investigating Misinformation in Online Marketplaces: An Audit Study on Amazon.
CoRR, 2020

Predicting Coordinated Actuated Traffic Signal Change Times using LSTM Neural Networks.
CoRR, 2020

Two-stage building energy consumption clustering based on temporal and peak demand patterns.
CoRR, 2020

2019
Secure Two-Party Feature Selection.
CoRR, 2019

Building Jarvis - A Learner-Aware Conversational Trainer.
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.
Proceedings of the Image Sensors and Imaging Systems 2019, 2019

Collaborative Learning of Concept Representations for Video Data.
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.
ACM Trans. Intell. Syst. Technol., 2018

Learning Role-based Graph Embeddings.
CoRR, 2018

Similarity-based Multi-label Learning.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Relational Similarity Machines (RSM): A Similarity-based Learning Framework for Graphs.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

2017
Representation Learning in Large Attributed Graphs.
CoRR, 2017

A Framework for Generalizing Graph-based Representation Learning Methods.
CoRR, 2017

Reports of the Workshops of the Thirty-First AAAI Conference on Artificial Intelligence.
AI Mag., 2017

2016
Provenance Segmentation.
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.
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.
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.
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.
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.
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.
J. Wirel. Mob. Networks Ubiquitous Comput. Dependable Appl., 2014

Ganging up on big data computer-intermediated collaborative analysis.
Proceedings of the 2014 International Conference on Collaboration Technologies and Systems, 2014

2013
Multi-Domain Information Fusion for Insider Threat Detection.
Proceedings of the 2013 IEEE Symposium on Security and Privacy Workshops, 2013

2012
An analysis of how ensembles of collective classifiers improve predictions in graphs.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

2011
Across-Model Collective Ensemble Classification.
Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011

Ensemble Classification for Relational Domains.
Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011

2010
Multi-network fusion for collective inference.
Proceedings of the Eighth Workshop on Mining and Learning with Graphs, 2010


  Loading...