Publications

Refereed Journal Papers
Miao, Y-Q., Farahat, A.K., and Kamel, M.S. (2016) Detecting Emerging and Evolving Novelties with Locally-adaptive Density Ratio Estimation. Knowledge and Information Systems. 49(3): 1131–1159 
Impact Factor: 2.004

Farahat, A.K., Elgohary, A., Ghodsi, A., and Kamel, M.S. (2015) Greedy Column Subset Selection for Large-scale Data Sets.  Knowledge and Information Systems. 45(1): 1–34 [Link] [Preprint] [Code] 
Impact Factor: 2.004

Gangeh, M.J., Farahat, A.K., Ghodsi, A., and Kamel, M.S (2015) Supervised Dictionary Learning and Sparse Representation-A Review, arXiv preprint arXiv:1502.05928 [Link]

Farahat, A.K., Ghodsi, A., and Kamel, M.S. (2013) Efficient Greedy Feature Selection for Unsupervised Learning. Knowledge and Information Systems. 35(2): 285-310  [Link][Preprint][Code]  
Impact Factor: 2.004

Farahat, A.K., and Kamel, M.S. (2011) Statistical Semantics for Enhancing Document Clustering. Knowledge and Information Systems. Special Issue on Context-Aware Data Mining (CADM). 28(2): 365-393  [Link] [Code] 
Impact Factor: 2.004 – Special Issue Acceptance Rate: 26% (7/27)

Refereed Proceedings

Zheng, S., Ristovski, K., Farahat, A.K., and Gupta, C. (2017) Long Short-Term Memory Network for Remaining Useful Life Estimation. The 2017 IEEE International Conference on Prognostics and Health Management (ICPHM): 88-95 [Preprint][Link]  – Best Paper Award Finalist 


Miao, Y-Q., Farahat, A.K., and Kamel, M.S. (2015) Ensemble Kernel Mean Matching. The Fifteenth IEEE International Conference on Data Mining (ICDM): 330-338.  [Preprint] – Acceptance Rate: 8.4%

Elbagoury, A., Ibrahim, R., Farahat, A.K., Kamel, M.S, and Karray, F. (2015) Exemplar-Based Topic Detection in Twitter Streams. The Ninth International AAAI Conference on Web and Social Media (ICWSM): 610-613 [Link]

Miao, Y-Q., Farahat, A.K., and Kamel, M.S. (2015) Locally Adaptive Density Ratio for Detecting Novelty in Twitter Streams. International World Wide Web Conference Workshops: 799-804 [Link]

Seifzadeh, S, Farahat, A.K., Kamel, M.S, and Karray, F. (2015) Short-Text Clustering using Statistical Semantics. International World Wide Web Conference Workshops: 805-810 [Link]

Elgohary, A., Farahat, A.K., Kamel, M.S, and Karray, F. (2014) Embed and Conquer: Scalable Embeddings for Kernel k-Means on MapReduce.  The SIAM International Conference on Data Mining (SDM): 425-433. Oral [Preprint] [arXiv] – Acceptance Rate: 15.42%

Miao, Y-Q., Farahat, A.K., and Kamel, M.S. (2014).  Discriminative Density-ratio Estimation. The SIAM International Conference on Data Mining (SDM): 830-838. 
Poster 
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Link
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– Acceptance Rate: 30.84%

Farahat, A.K., Elgohary, A., Ghodsi, A., and Kamel, M.S. (2013) Distributed Column Subset Selection on MapReduce. The Thirteenth IEEE International Conference on Data Mining (ICDM): 171-180. Oral.  [Link][Preprint][Code]  – Acceptance Rate: 11.62% (94 /809) – Best Paper Award Runner-Up   

Miao, Y-Q., Farahat, A.K., and Kamel, M.S. (2013). Auto-tuning Kernel Mean Matching. Workshop on Incremental Clustering, Concept Drift and Novelty Detection at the Thirteenth IEEE International Conference on Data Mining (ICDM): 560-567. Oral   [Preprint]

Farahat, A.K., Ghodsi, A., and Kamel, M.S. (2011) An Efficient Greedy Method for Unsupervised Feature Selection. The Eleventh IEEE International Conference on Data Mining (ICDM): 161-170. Oral  [Link] [Preprint] [Code]  – Acceptance Rate: 12.85% (101/786) – Best Paper Candidate 

Farahat, A.K., Ghodsi, A., and Kamel, M.S. (2011) A Novel Greedy Algorithm for Nyström Approximation. The Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS): 269-277. Poster  [PDF] [Code]  – Acceptance Rate: 36.4% (99/272)

Farahat, A.K., and Kamel, M.S. (2010) Enhancing Document Clustering Using Hybrid Models for Semantic Similarity. The Eighth Workshop on Text Mining at the SIAM International Conference on Data Mining (SDM): 83-92. Oral [PDF]

Farahat, A.K., and Kamel, M.S. (2009) Document Clustering Using Semantic Kernels Based on Term-Term Correlations. The Second International Workshop on Semantic Aspects in Data Mining at the IEEE International Conference on Data Mining (ICDM): 459-464. Oral  [Link][Code] – Best Paper Award

Refereed Workshops (No Proceedings)
Farahat, A.K., Ghodsi, A., and Kamel, M.S. (2013) A Fast Greedy Algorithm for Generalized Column Subset Selection. Workshop on Greedy Algorithms, Frank-Wolfe and Friends at the Neural Information Processing Systems (NIPS): 7 pages. Poster  [PDF] [Code] 

Miao, Y-Q., Farahat, A.K., and Kamel, M.S. (2013).  Class-wise Density-ratios for Covariate Shift. Workshop on New Directions in Transfer and Multi-Task at the Neural Information Processing Systems (NIPS): 5 pages. Oral – Best Abstract Award [PDF]

Elgohary, A., Farahat, A.K., Kamel, M.S, and Karray, F. (2013) Approximate Nearest Centroid Embedding for Kernel k-Means. Big Learning Workshop at the Neural Information Processing Systems (NIPS): 6 pages. Poster [PDF]

Farahat, A.K., Ghodsi, A., and Kamel, M.S. (2010) Greedy Nyström Approximation. Workshop on Low-rank Methods for Large-scale Machine Learning at the Neural Information Processing Systems (NIPS): 4 pages. Oral [PDF] [Supplementary] [Code] 

Theses
Farahat, A.K. (2012) Greedy Representative Selection for Unsupervised Data Analysis, Ph.D. Dissertation, University of Waterloo [PDF]

Farahat, A.K. (2007) Semi-supervised Learning using Bipartite Graphs, M.Sc. Dissertation, Cairo University

Patents (Granted)
Detecting Anomalous Process Behavior. US Patent No. US8719190. Filed by IBM Corporation, July 2008. Granted, May 2014. With Hassan, H.M., El-Rafei S.M., and Mahfouz, T.A  [Link]  

Method and System for Detecting and Predicting Anomalous Situations in a Computer System. UK Patent No. GB2465860. Filed by IBM Corporation, August 2009. Granted, December 2010. With Hassan, H.M., and El-Rafei S.M. [Link]