1. Bengio, Y., Larochelle, H., & Vincent, P. (2005). Non-local manifold parzen windows. In Advances in Neural Information Processing Systems (pp. 115–122).
2. Bishop, C. M. (2006). Pattern recognition and machine learning Berlin, Heidelberg: Springer.
3. Bittar, M., & Aki, A. (2015). Advancement and economic benefit of geosteering and well- placement technology. The Leading Edge, 34(5), 524–528.
4. Bittar, M. S. (2002, November 5). Electromagnetic wave resistivity tool having a tilted an- tenna for geosteering within a desired payzone. Google Patents. (US Patent 6,476,609)
5. Bittar, M. S., Klein, J. D., Randy B., Hu, G., Wu, M., Pitcher, J. L., et al. (2009). A new azimuthal deep-reading resistivity tool for geosteering and advanced formation evaluation. SPE Reservoir Evaluation & Engineering, 12(02), 270–279.