Anticipation of Political Party Voting Using Artificial Intelligence

[1]  R. Eisinga,et al.  Timing of Vote Decision in First and Second Order Dutch Elections 1978–1995: Evidence from Artificial Neural Networks , 1998, Political Analysis.

[2]  Mirsad Hadzikadic,et al.  Learning to Predict: INC2.5 , 1997, IEEE Trans. Knowl. Data Eng..

[3]  Christopher Monterola,et al.  Feasibility of a Neural Network as Classifier of Undecided Respondents in a Public Opinion Survey , 2002 .

[4]  Michael Thrasher,et al.  Forecasting the 2005 General Election: A Neural Network Approach , 2005 .

[5]  A. Khashman,et al.  Comparison Criteria for Optimum Image Compression , 2005, EUROCON 2005 - The International Conference on "Computer as a Tool".

[6]  Adnan Khashman,et al.  Face Recognition Using Neural Networks and Pattern Averaging , 2006, ISNN.

[7]  Estevam R. Hruschka,et al.  Bayesian networks for imputation in classification problems , 2007, Journal of Intelligent Information Systems.

[8]  A. Asuncion,et al.  UCI Machine Learning Repository, University of California, Irvine, School of Information and Computer Sciences , 2007 .

[9]  A. Khashman,et al.  Neural Networks Arbitration for Optimum DCT Image Compression , 2007, EUROCON 2007 - The International Conference on "Computer as a Tool".

[10]  Adnan Khashman,et al.  A Novel Thresholding Method for Text Separation and Document Enhancement , 2007 .

[11]  Dimitris K. Tasoulis,et al.  Generalizing the k-Windows clustering algorithm in metric spaces , 2007, Math. Comput. Model..

[12]  G. S. Gill ELECTION RESULT FORECASTING USING TWO LAYER PERCEPTRON NETWORK , 2008 .

[13]  Adnan Khashman IBCIS: Intelligent blood cell identification system , 2008 .

[14]  Stefan Kaufmann,et al.  Classifying Party Affiliation from Political Speech , 2008 .

[15]  Adnan Khashman,et al.  Application of an emotional neural network to facial recognition , 2009, Neural Computing and Applications.

[16]  Jesús Cardeñosa Lera,et al.  Categorical Missing Data Imputation Using Fuzzy Neural Networks with Numerical and Categorical Inputs , 2009 .

[17]  Adnan Khashman,et al.  Blood Cell Identification using Emotional Neural Networks , 2009, J. Inf. Sci. Eng..

[18]  Pilar Rey-del-Castillo,et al.  Categorical Missing Data Imputation Using Fuzzy Neural Networks with Numerical and Categorical Inputs , 2009 .

[19]  Adnan Khashman,et al.  Modeling cognitive and emotional processes: A novel neural network architecture , 2010, Neural Networks.

[20]  Jesús Cardeñosa Lera,et al.  Fuzzy min–max neural networks for categorical data: application to missing data imputation , 2012, Neural Comput. Appl..

[21]  Adnan Khashman,et al.  Support Vector Machines versus Back Propagation Algorithm for Oil Price Prediction , 2011, ISNN.

[22]  Stefan Kaufmann,et al.  Language and Ideology in Congress , 2011, British Journal of Political Science.