Ahmed K. Farahat

Maria Teresa Gonzalez Diaz

Proceedings of the IEEE International Conference on Prognostics and Health Management, 2023

XDNet: A Few-Shot Meta-Learning Approach for Cross-Domain Visual Inspection.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2021

Deep time series models for scarce data.

[BibT_eX]

[DOI]

Neurocomputing, 2021

Data-driven Residual Generation for Early Fault Detection with Limited Data.

[BibT_eX]

[DOI]

Hamed Khorasgani

Maria Teresa Gonzalez Diaz

CoRR, 2021

An Offline Deep Reinforcement Learning for Maintenance Decision-Making.

[BibT_eX]

[DOI]

CoRR, 2021

NeurIPS’22 Cross-Domain MetaDL Challenge: Results and lessons learned.

[BibT_eX]

[DOI]

Proceedings of the NeurIPS 2022 Competition Track, 2021

2020

Wisdom of the Ensemble: Improving Consistency of Deep Learning Models.

[BibT_eX]

[DOI]

Lijing Wang

Dipanjan Ghosh

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Deep Learning for Industrial AI: Challenges, New Methods and Best Practices.

[BibT_eX]

[DOI]

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Health Indicator Forecasting for Improving Remaining Useful Life Estimation.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Prognostics and Health Management, 2020

2019

Generative Adversarial Networks for Failure Prediction.

[BibT_eX]

[DOI]

Shuai Zheng

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

Multilayer Perceptron for Sparse Functional Data.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2019

Remaining Useful Life Estimation Using Functional Data Analysis.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE International Conference on Prognostics and Health Management, 2019

Fault Detection and Isolation in Industrial Networks using Graph Convolutional Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE International Conference on Prognostics and Health Management, 2019

Risk-Based Dynamic Pricing via Failure Prediction.

[BibT_eX]

[DOI]

Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019

Evaluation of Event Impact on Key Performance Indicators.

[BibT_eX]

[DOI]

Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019

2018

Equipment Health Indicator Learning Using Deep Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018

What Maintenance is Worth the Money? A Data-Driven Answer.

[BibT_eX]

[DOI]

Proceedings of the 16th IEEE International Conference on Industrial Informatics, 2018

Two Birds with One Network: Unifying Failure Event Prediction and Time-to-failure Modeling.

[BibT_eX]

[DOI]

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

2017

Long Short-Term Memory Network for Remaining Useful Life estimation.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Prognostics and Health Management, 2017

2016

Detecting emerging and evolving novelties with locally adaptive density ratio estimation.

[BibT_eX]

[DOI]

Knowl. Inf. Syst., 2016

2015

Greedy column subset selection for large-scale data sets.

[BibT_eX]

[DOI]

Knowl. Inf. Syst., 2015

Supervised Dictionary Learning and Sparse Representation-A Review.

[BibT_eX]

[DOI]

CoRR, 2015

Short-Text Clustering using Statistical Semantics.

[BibT_eX]

[DOI]

Proceedings of the 24th International Conference on World Wide Web Companion, 2015

Locally Adaptive Density Ratio for Detecting Novelty in Twitter Streams.

[BibT_eX]

[DOI]

Proceedings of the 24th International Conference on World Wide Web Companion, 2015

Exemplar-Based Topic Detection in Twitter Streams.

[BibT_eX]

[DOI]

Proceedings of the Ninth International Conference on Web and Social Media, 2015

Ensemble Kernel Mean Matching.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

2014

Discriminative Density-ratio Estimation.

[BibT_eX]

[DOI]

Proceedings of the 2014 SIAM International Conference on Data Mining, 2014

Embed and Conquer: Scalable Embeddings for Kernel <i>k</i>-Means on MapReduce.

[BibT_eX]

[DOI]

Proceedings of the 2014 SIAM International Conference on Data Mining, 2014

2013

Efficient greedy feature selection for unsupervised learning.

[BibT_eX]

[DOI]

Knowl. Inf. Syst., 2013

A Fast Greedy Algorithm for Generalized Column Subset Selection.

[BibT_eX]

[DOI]

CoRR, 2013

Embed and Conquer: Scalable Embeddings for Kernel $k$-Means on MapReduce.

[BibT_eX]

[DOI]

CoRR, 2013

Auto-Tuning Kernel Mean Matching.

[BibT_eX]

[DOI]

Proceedings of the 13th IEEE International Conference on Data Mining Workshops, 2013

Distributed Column Subset Selection on MapReduce.

[BibT_eX]

[DOI]

Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

2011

Statistical semantics for enhancing document clustering.

[BibT_eX]

[DOI]

Knowl. Inf. Syst., 2011

A novel greedy algorithm for Nyström approximation.

[BibT_eX]

[DOI]

Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, 2011

An Efficient Greedy Method for Unsupervised Feature Selection.

[BibT_eX]

[DOI]

Proceedings of the 11th IEEE International Conference on Data Mining, 2011

2009

Document Clustering Using Semantic Kernels Based on Term-Term Correlations.

[BibT_eX]

[DOI]