( en | de | ru )

 

Disambiguation of "Khoshgoftaar, Taghi M."

Author of the publication

copydeleteadd this publication to your clipboard
Stability Analysis of Feature Ranking Techniques on Biological Datasets.

, , , and . BIBM, page 252-256. IEEE Computer Society, (2011)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Taghi Kishmardi

Taghi Pouradjam

Taghi Abdollahnia

Azadeh Taghipour

Nina Taghizadeh

 

Other publications of authors with the same name

Transfer Learning Techniques., , and . Big Data Technologies and Applications, Springer, (2016)Software quality modeling: The impact of class noise on the random forest classifier., , , and . IEEE Congress on Evolutionary Computation, page 3853-3859. IEEE, (2008)Detecting Outliers Using Rule-Based Modeling for Improving CBR-Based Software Quality Classification Models., , and . ICCBR, volume 2689 of Lecture Notes in Computer Science, page 216-230. Springer, (2003)Deep Learning with Maxout Activations for Visual Recognition and Verification., , and . IRI, page 135-142. IEEE, (2019)Survey of review spam detection using machine learning techniques., , , , and . J. Big Data, (2015)Using Twitter Content to Predict Psychopathy., , , and . ICMLA (2), page 394-401. IEEE, (2012)978-1-4673-4651-1.A Comparative Study on the Stability of Software Metric Selection Techniques., , , and . ICMLA (2), page 301-307. IEEE, (2012)978-1-4673-4651-1.Random Forest with 200 Selected Features: An Optimal Model for Bioinformatics Research., , , and . ICMLA (1), page 154-160. IEEE, (2013)Comparative Analysis on the Stability of Feature Selection Techniques Using Three Frameworks on Biological Datasets., , , and . ICMLA (1), page 418-423. IEEE, (2013)Comparing Transfer Learning and Traditional Learning Under Domain Class Imbalance., and . ICMLA, page 337-343. IEEE, (2017)