Ito Wasito

Lecturer

PhD (University of London) 

Email: ito.wasito@monash.edu
Telephone: +603 55159604
Room number: 4-8-23

Data Analytics Application, Bioinformatics and Medical Bioscience.

I. Wasito and B. Mirkin. 2005. Nearest Neighbour Approach in the Least Squares Data Imputation. Information Sciences, Vol. 169, pp 1-25, Elsevier.    

I. Wasito and B. Mirkin. 2006. Least Squares Data Imputation with Nearest Neighbour  Approach with Different Missing Patterns. Computational Statistics and Data Analysis,  Vol. 50,pp. 926-949., Elsevier.  

I. Wasito, S. Zaiton and S. Srikmaningrum. 2007.  Iterative local Gaussian clustering for expressed genes identification linked to malignancy of human colorectal carcinoma. Bioinformation 2 (5): 175-181.   

I. Wasito and N. Farihan Abd Azid.  2008.    Imputing Incomplete Software Metric Iterative Nearest Neighbour Based Algorithm. Journal of Information Technology, Vol. 20, No. 3, pp.42-54, UTM Publisher.   

G. Wahyudi, I. Wasito, T. Melia and I. Budi. 2011. Robust consensus clustering for identification of expressed genes linked to malignancy of human colorectal carcinoma. Bioinformation, Volume 6 Issue 7.   

A. Noviyanto and I. Wasito. 2012. Evaluation of Data Integration Strategies Based on Kernel Method of Clinical and Microarray Data. Bioinformation Vol 8, Issue 3.   

I. Wasito and I. Veritawati. 2012. Subtype of Cancer Identification for Patient Survival P rediction using Semi Supervised Method. Journal of Convergence Information Technology, Vol 7, No 14-25. 

A.F. Huda, I. Wasito, T. Basaruddin, M. Sadikin. 2013. Spatial Clustering Algorithm Based on Neighboring  Structure  Approach. Journal of Convergence Information Technology, Vol 8, Number 16.  

I. Wasito,  N. Istiqlal, M. Sadikin. 2014. Empirical Evaluation of Integration Biological  Data Model using  Kernel Based Approach. Journal of Convergence of Information Technology, Vol 7, No 14-25. 

A.Gunawan and I. Wasito. 2014. Nonretinotopic Particle Filter for Visual Tracking. Journal of Theoretical and Applied Information Technology. Vol. 63, No.1   

M. Sadikin and I. Wasito. 2015. A Novel Rule Based Approach For Entity Relations Extraction. Journal of Theoretical and Applied Information Technology vol. 74 

I.Veritawati. I. Wasito and T. Basaruddin. 2015. Text Preprocessing using Annotated Suffix Tree with Matching Keyphrase. International Journal of Electrical and Computer Engineering.  

O.Y. Viktorisa, I. Wasito, A.F. Syafiandini.  2016. Evaluating the Performance of Deep Supervised Auto Encoder in Single Sample Face Recognition Problem using Kullback-Leibler Divergence Sparsity Regularizer. Journal of Theoretical and Applied Information Technology vol. 87.

I. Wasito, Muh. Faturrahman, I. Veritawati, I. Budi, B. Nurina Sari. 2017. Iterative Scaling Fuzzy Additive Clustering (is-FADDIS) Algorithms for Subtypes Cancer Identification. Submitted to Advances in Bioinformatics.  

Multivariate Statistics, Mathematical Computation and Machine Learning Methods.

I. Wasito and N. Istiqlal. 2016. The Data Types Integration Model Development for Kernel Based Classification in Bioinformatics Application. Book Chapter in Computer Science:  Case study and its applications. UNDIP Press.

I. Wasito. 2014. Nearest Neighbour of Least Squares Data Imputation for Marketing Data. Book Chapter in Clusters, Orders and Trees: Methods and Applications. Springer

I. Wasito. 2009. The Extension of Singular Value Decomposition with Incomplete Data,  Book Chapter in Advance in Image Processing and Pattern Recognition, UTM Publisher  

 

  • Member of Journal Convergence of Information Technology (IEEE) (2010-2012)