Ahmed K. Farahat

54 papers A* 6A 4B 1C 3Journal 25Unranked 15
YearRankTypeTitle / Venue / Authors
2026 A* conf
Building Domain-Specific Small Language Models via Guided Data Generation.
AAAI
Aman Kumar, Ekant Muljibhai Amin, Xian Yeow Lee, Lasitha Vidyaratne, Ahmed K. Farahat, Dipanjan Ghosh, Yuta Koreeda, Chetan Gupta
2025 J jnl
A Hierarchical Agentic Framework for Autonomous Drone-Based Visual Inspection.
CoRR
Ethan Herron, Xian Yeow Lee, Gregory Sin, Maria Teresa Gonzalez Diaz, Ahmed K. Farahat, Chetan Gupta
2025 J jnl
Building Domain-Specific Small Language Models via Guided Data Generation.
CoRR
Aman Kumar, Ekant Muljibhai Amin, Xian Yeow Lee, Lasitha Vidyaratne, Ahmed K. Farahat, Dipanjan Ghosh, Yuta Koreeda, Chetan Gupta
2025 J jnl
Exploring LLM-based Frameworks for Fault Diagnosis.
CoRR
Xian Yeow Lee, Lasitha Vidyaratne, Ahmed K. Farahat, Chetan Gupta
2025 — conf
Generating Troubleshooting Trees With FMEA Using Large Language Models (LLM).
ICPHM
Lasitha Vidyaratne, Huijuan Shao, Tsubasa Watanabe, Ahmed K. Farahat, Chetan Gupta
2025 J jnl
Weakly-supervised Latent Models for Task-specific Visual-Language Control.
CoRR
Xian Yeow Lee, Lasitha Vidyaratne, Gregory Sin, Ahmed K. Farahat, Chetan Gupta
2023 — conf
An ensemble of convolution-based methods for fault detection using vibration signals.
ICPHM
Xian Yeow Lee, Aman Kumar, Lasitha Vidyaratne, Aniruddha Rajendra Rao, Ahmed K. Farahat, Chetan Gupta
2023 J jnl
An ensemble of convolution-based methods for fault detection using vibration signals.
CoRR
Xian Yeow Lee, Aman Kumar, Lasitha Vidyaratne, Aniruddha Rajendra Rao, Ahmed K. Farahat, Chetan Gupta
2023 J jnl
CDA: Contrastive-adversarial Domain Adaptation.
CoRR
Nishant Yadav, Mahbubul Alam, Ahmed K. Farahat, Dipanjan Ghosh, Chetan Gupta, Auroop R. Ganguly
2023 J jnl
Knowledge-enhanced reinforcement learning for multi-machine integrated production and maintenance scheduling.
Comput. Ind. Eng.
Jueming Hu, Haiyan Wang, Hsiu-Khuern Tang, Takuya Kanazawa, Chetan Gupta, Ahmed K. Farahat
2023 — conf
XDNet: A Few-Shot Meta-Learning Approach for Cross-Domain Visual Inspection.
CVPR Workshops
Xian Yeow Lee, Lasitha Vidyaratne, Mahbubul Alam, Ahmed K. Farahat, Dipanjan Ghosh, Maria Teresa Gonzalez Diaz, Chetan Gupta
2021 J jnl
An Offline Deep Reinforcement Learning for Maintenance Decision-Making.
CoRR
Hamed Khorasgani, Haiyan Wang, Chetan Gupta, Ahmed K. Farahat
2021 J jnl
Data-driven Residual Generation for Early Fault Detection with Limited Data.
CoRR
Hamed Khorasgani, Ahmed K. Farahat, Chetan Gupta
2021 J jnl
Deep Time Series Models for Scarce Data.
CoRR
Qiyao Wang, Ahmed K. Farahat, Chetan Gupta, Shuai Zheng
2021 J jnl
Deep time series models for scarce data.
Neurocomputing
Qiyao Wang, Ahmed K. Farahat, Chetan Gupta, Shuai Zheng
2021 — conf
NeurIPS’22 Cross-Domain MetaDL Challenge: Results and lessons learned.
NeurIPS (Competition and Demos)
Dustin Carrión-Ojeda, Mahbubul Alam, Sergio Escalera, Ahmed K. Farahat, Dipanjan Ghosh, Maria Teresa Gonzalez Diaz, Chetan Gupta, Isabelle Guyon, Joël Roman Ky, Xian Yeow Lee, Xin Liu, Felix Mohr, Manh Hung Nguyen, Emmanuel Pintelas, Stefan Roth, Simone Schaub-Meyer, Haozhe Sun, Ihsan Ullah, Joaquin Vanschoren, Lasitha Vidyaratne, Jiamin Wu, Xiaotian Yin
2020 A* conf
Deep Learning for Industrial AI: Challenges, New Methods and Best Practices.
KDD
Chetan Gupta, Ahmed K. Farahat
2020 — conf
Health Indicator Forecasting for Improving Remaining Useful Life Estimation.
ICPHM
Qiyao Wang, Ahmed K. Farahat, Chetan Gupta, Haiyan Wang
2020 J jnl
Health Indicator Forecasting for Improving Remaining Useful Life Estimation.
CoRR
Qiyao Wang, Ahmed K. Farahat, Chetan Gupta, Haiyan Wang
2020 A* conf
Wisdom of the Ensemble: Improving Consistency of Deep Learning Models.
NeurIPS
Lijing Wang, Dipanjan Ghosh, Maria Teresa Gonzalez Diaz, Ahmed K. Farahat, Mahbubul Alam, Chetan Gupta, Jiangzhuo Chen, Madhav V. Marathe
2020 J jnl
Wisdom of the Ensemble: Improving Consistency of Deep Learning Models.
CoRR
Lijing Wang, Dipanjan Ghosh, Maria Teresa Gonzalez Diaz, Ahmed K. Farahat, Mahbubul Alam, Chetan Gupta, Jiangzhuo Chen, Madhav V. Marathe
2019 C conf
Evaluation of Event Impact on Key Performance Indicators.
ICMLA
Qiyao Wang, Ahmed K. Farahat, Kosta Ristovski, Chetan Gupta, Shuai Zheng
2019 — conf
Fault Detection and Isolation in Industrial Networks using Graph Convolutional Neural Networks.
ICPHM
Hamed Khorasgani, Arman Hasanzadeh, Ahmed K. Farahat, Chetan Gupta
2019 — conf
Generative Adversarial Networks for Failure Prediction.
ECML/PKDD (3)
Shuai Zheng, Ahmed K. Farahat, Chetan Gupta
2019 J jnl
Generative Adversarial Networks for Failure Prediction.
CoRR
Shuai Zheng, Ahmed K. Farahat, Chetan Gupta
2019 B conf
Multilayer Perceptron for Sparse Functional Data.
IJCNN
Qiyao Wang, Shuai Zheng, Ahmed K. Farahat, Susumu Serita, Takashi Saeki, Chetan Gupta
2019 — conf
Remaining Useful Life Estimation Using Functional Data Analysis.
ICPHM
Qiyao Wang, Shuai Zheng, Ahmed K. Farahat, Susumu Serita, Chetan Gupta
2019 J jnl
Remaining Useful Life Estimation Using Functional Data Analysis.
CoRR
Qiyao Wang, Shuai Zheng, Ahmed K. Farahat, Susumu Serita, Chetan Gupta
2019 C conf
Risk-Based Dynamic Pricing via Failure Prediction.
ICMLA
Chi Zhang, Chetan Gupta, Seiji Joichi, Ahmed K. Farahat, Huijuan Shao
2018 — conf
Equipment Health Indicator Learning Using Deep Reinforcement Learning.
ECML/PKDD (3)
Chi Zhang, Chetan Gupta, Ahmed K. Farahat, Kosta Ristovski, Dipanjan Ghosh
2018 — conf
Two Birds with One Network: Unifying Failure Event Prediction and Time-to-failure Modeling.
IEEE BigData
Karan Aggarwal, Onur Atan, Ahmed K. Farahat, Chi Zhang, Kosta Ristovski, Chetan Gupta
2018 J jnl
Two Birds with One Network: Unifying Failure Event Prediction and Time-to-failure Modeling.
CoRR
Karan Aggarwal, Onur Atan, Ahmed K. Farahat, Chi Zhang, Kosta Ristovski, Chetan Gupta
2018 C conf
What Maintenance is Worth the Money? A Data-Driven Answer.
INDIN
Qiyao Wang, Ahmed K. Farahat, Kosta Ristovski, Hsiu-Khuern Tang, Susumu Serita, Chetan Gupta
2017 — conf
Long Short-Term Memory Network for Remaining Useful Life estimation.
ICPHM
Shuai Zheng, Kosta Ristovski, Ahmed K. Farahat, Chetan Gupta
2016 J jnl
Detecting emerging and evolving novelties with locally adaptive density ratio estimation.
Knowl. Inf. Syst.
Yun-Qian Miao, Ahmed K. Farahat, Mohamed S. Kamel
2015 A* conf
Ensemble Kernel Mean Matching.
ICDM
Yun-Qian Miao, Ahmed K. Farahat, Mohamed S. Kamel
2015 A conf
Exemplar-Based Topic Detection in Twitter Streams.
ICWSM
Ahmed Elbagoury, Rania Ibrahim, Ahmed K. Farahat, Mohamed S. Kamel, Fakhri Karray
2015 J jnl
Greedy column subset selection for large-scale data sets.
Knowl. Inf. Syst.
Ahmed K. Farahat, Ahmed Elgohary, Ali Ghodsi, Mohamed S. Kamel
2015 — conf
Locally Adaptive Density Ratio for Detecting Novelty in Twitter Streams.
WWW (Companion Volume)
Yun-Qian Miao, Ahmed K. Farahat, Mohamed S. Kamel
2015 — conf
Short-Text Clustering using Statistical Semantics.
WWW (Companion Volume)
Sepideh Seifzadeh, Ahmed K. Farahat, Mohamed S. Kamel, Fakhri Karray
2015 J jnl
Supervised Dictionary Learning and Sparse Representation-A Review.
CoRR
Mehrdad J. Gangeh, Ahmed K. Farahat, Ali Ghodsi, Mohamed S. Kamel
2014 A conf
Discriminative Density-ratio Estimation.
SDM
Yun-Qian Miao, Ahmed K. Farahat, Mohamed S. Kamel
2014 A conf
Embed and Conquer: Scalable Embeddings for Kernel
SDM
Ahmed Elgohary, Ahmed K. Farahat, Mohamed S. Kamel, Fakhri Karray
2013 J jnl
A Fast Greedy Algorithm for Generalized Column Subset Selection.
CoRR
Ahmed K. Farahat, Ali Ghodsi, Mohamed S. Kamel
2013 — conf
Auto-Tuning Kernel Mean Matching.
ICDM Workshops
Yun-Qian Miao, Ahmed K. Farahat, Mohamed S. Kamel
2013 J jnl
Discriminative Density-ratio Estimation.
CoRR
Yun-Qian Miao, Ahmed K. Farahat, Mohamed S. Kamel
2013 A* conf
Distributed Column Subset Selection on MapReduce.
ICDM
Ahmed K. Farahat, Ahmed Elgohary, Ali Ghodsi, Mohamed S. Kamel
2013 J jnl
Efficient greedy feature selection for unsupervised learning.
Knowl. Inf. Syst.
Ahmed K. Farahat, Ali Ghodsi, Mohamed S. Kamel
2013 J jnl
Embed and Conquer: Scalable Embeddings for Kernel $k$-Means on MapReduce.
CoRR
Ahmed Elgohary, Ahmed K. Farahat, Mohamed S. Kamel, Fakhri Karray
2013 J jnl
Greedy Column Subset Selection for Large-scale Data Sets.
CoRR
Ahmed K. Farahat, Ahmed Elgohary, Ali Ghodsi, Mohamed S. Kamel
2011 A conf
A novel greedy algorithm for Nyström approximation.
AISTATS
Ahmed K. Farahat, Ali Ghodsi, Mohamed S. Kamel
2011 A* conf
An Efficient Greedy Method for Unsupervised Feature Selection.
ICDM
Ahmed K. Farahat, Ali Ghodsi, Mohamed S. Kamel
2011 J jnl
Statistical semantics for enhancing document clustering.
Knowl. Inf. Syst.
Ahmed K. Farahat, Mohamed S. Kamel
2009 — conf
Document Clustering Using Semantic Kernels Based on Term-Term Correlations.
ICDM Workshops
Ahmed K. Farahat, Mohamed S. Kamel