Mohamed Farouk Abdel Hady

According to our database1, Mohamed Farouk Abdel Hady authored at least 21 papers between 2008 and 2017.

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

Timeline

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Bibliography

2017
Semi-supervised Classification: Cluster and Label Approach using Particle Swarm Optimization.
CoRR, 2017

2015
Feature Selection for Twitter Sentiment Analysis: An Experimental Study.
Proceedings of the Computational Linguistics and Intelligent Text Processing, 2015

A Language Modeling Approach for Acronym Expansion Disambiguation.
Proceedings of the Computational Linguistics and Intelligent Text Processing, 2015

2014
Unsupervised Active Learning of CRF Model for Cross Lingual Information Extraction.
Int. J. Comput. Linguistics Appl., 2014

Unsupervised Active Learning of CRF Model for Cross-Lingual Named Entity Recognition.
Proceedings of the Artificial Neural Networks in Pattern Recognition, 2014

2013
Semi-supervised Learning.
Proceedings of the Handbook on Neural Information Processing, 2013

Domain adaptation for cross-lingual query classification using search query logs and document classification.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

Class-dependent Canonical Correlation Analysis for scalable cross-lingual document categorization.
Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2013

2011
A Multi-objective Genetic Algorithm for Pruning Support Vector Machines.
Proceedings of the IEEE 23rd International Conference on Tools with Artificial Intelligence, 2011

2010
Semi-supervised learning with committees: exploiting unlabeled data using ensemble learning algorithms.
PhD thesis, 2010

Semi-supervised learning for tree-structured ensembles of RBF networks with Co-Training.
Neural Networks, 2010

Combining Committee-Based Semi-Supervised Learning and Active Learning.
J. Comput. Sci. Technol., 2010

When classifier selection meets information theory: A unifying view.
Proceedings of the Second International Conference of Soft Computing and Pattern Recognition, 2010

Combining Committee-Based Semi-supervised and Active Learning and Its Application to Handwritten Digits Recognition.
Proceedings of the Multiple Classifier Systems, 9th International Workshop, 2010

Semi-supervised Facial Expressions Annotation Using Co-Training with Fast Probabilistic Tri-Class SVMs.
Proceedings of the Artificial Neural Networks, 2010

2009
Decision Templates Based RBF Network for Tree-Structured Multiple Classifier Fusion.
Proceedings of the Multiple Classifier Systems, 8th International Workshop, 2009

Semi-supervised Learning for Regression with Co-training by Committee.
Proceedings of the Artificial Neural Networks, 2009

2008
Co-Training by Committee: A Generalized Framework for Semi-Supervised Learning with Committees.
Int. J. Softw. Informatics, 2008

Co-training by Committee: A New Semi-supervised Learning Framework.
Proceedings of the Workshops Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

Semi-supervised Learning of Tree-Structured RBF Networks Using Co-training.
Proceedings of the Artificial Neural Networks, 2008

Multi-View Forests of Tree-Structured Radial Basis Function Networks Based on Dempster-Shafer Evidence Theory.
Proceedings of the 16th European Symposium on Artificial Neural Networks, 2008


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