Dr. Wadii Boulila

Assistant Professor
Taibah University, Saudi Arabia

Highest Degree
Ph.D. in Computer Science from University of Rennes 1, France

My URL
https://livedna.org/216.16803

Share this Profile

Area of Interest:

Computer Sciences
Artificial Intelligence
Image Processing
Cloud Computing
Data Mining

Selected Publications

  1. Boulila, W., 2019. A top-down approach for semantic segmentation of big remote sensing images. Earth Sci. Inf., Vol. 2019. .
    Direct Link  |  

  2. Ferchichi, A., W. Boulila and I.R. Farah, 2018. Reducing uncertainties in land cover change models using sensitivity analysis. Knowl. Inf. Syst., 55: 719-740.
    Direct Link  |  

  3. Boulila, W., M. Al-kmali, M. Farid and H. Mugahed, 2018. A business intelligence based solution to support academic affairs: Case of Taibah University. Wireless Networks, Vol. 2018 .
    Direct Link  |  

  4. Boulila, W., I.R. Farah, A. Hussain, 2018. A novel decision support system for the interpre-tation of remote sensing big data. Earth Sci. Inf., 11: 31-45.
    Direct Link  |  

  5. Ferchichi, A., W. Boulila and I.R. Farah, 2017. Towards an uncertainty reduction framework for land-cover change prediction using possibility theory. Vietnam J. Comput. Sci., 4: 195-209.
    CrossRef  |  Direct Link  |  

  6. Ferchichi, A., W. Boulila and I.R. Farah, 2017. Propagating aleatory and epistemic uncertainty in land cover change prediction process. Ecol. Inform., 37: 24-37.
    CrossRef  |  Direct Link  |  

  7. Boulila, W., Z. Ayadi and I.R. Farah, 2017. Sensitivity analysis approach to model epistemic and aleatory imperfection: Application to land cover change prediction model. J. Comput. Sci., 23: 58-70.
    Direct Link  |  

  8. Boulila, W., A. Bouatay and I.R. Farah, 2014. A probabilistic collocation method for the imperfection propagation: Application to land cover change prediction. J. Multimedia Process. Technol., 5: 12-32.
    Direct Link  |  

  9. Ettabaa, K.S., W. Boulila, I.R. Farah and B. Solaiman, 2012. Decision fusion approaches to spatiotemporal change prediction in satellite images: A comparative study. Int. J. Remote Sens. GIS, 3: 13-23.

  10. Boulila, W., I.R. Farah, K.S. Ettabaa, B. Solaiman and H.B. Ghezala, 2011. A data mining based approach to predict spatiotemporal changes in satellite images. Int. J. Applied Earth Observ. Geoinform., 13: 386-395.
    CrossRef  |  Direct Link  |  

  11. Boulila, W., I.R. Farah, K.S. Ettabaa and B. Solaiman, 2011. Combining decision fusion and uncertainty propagation to improve land cover change prediction in satellite image databases. J. Multimedia Process. Technol., 2: 127-139.
    Direct Link  |  

  12. Boulila, W., I.R. Farah, B. Solaiman and H.B. Ghezala, 2011. Interesting spatiotemporal rules discovery: Application to remotely sensed image databases. VINE: J. Inform. Knowledge Manage. Syst., 41: 167-191.
    CrossRef  |  Direct Link  |  

  13. Boulila, W. and I.R. Farah, 2011. Multi-approach satellite images fusion based on blind sources separation. Int. J. Image Graphics, 11: 117-136.
    CrossRef  |  Direct Link  |  

  14. Boulila, W., K.S. Ettabaa, I.R. Farah, B. Solaiman and H.B. Guezala, 2009. Towards a multi-approach system for uncertain spatio-temporal knowledge discovery in satellite imagery. Int. J. Graphics Vision Image Process., 9: 19-25.
    Direct Link  |  

  15. Farah, I.R., W. Boulila, K.S. Ettabaa, B. Solaiman and M.B. Ahmed, 2008. Interpretation of multisensor remote sensing images: Multiapproach fusion of uncertain information. IEEE Trans. Geosci. Remote Sens., 46: 4142-4152.
    CrossRef  |  Direct Link  |  

  16. Farah, I.R., W. Boulila, K.S. Ettabaa and M.B. Ahmed, 2008. Multiapproach system based on fusion of multispectral images for land-cover classification. IEEE Trans. Geosci. Remote Sens., 46: 4153-4161.
    CrossRef  |  Direct Link  |  
Member since August, 2017