Publications

  • Jacob Montiel, Jesse Read, Albert Bifet and Talel Abdessalem: “Scikit-Multiflow: A Multi-output Streaming Framework”. In: Journal of Machine Learning Research (2018). [Submitted]

  • Jacob Montiel, Jesse Read, Albert Bifet and Talel Abdessalem: “Scalable Model-based Cascaded Imputation of Missing Data”. In: Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD). 2018. [To appear]

  • Jacob Montiel, Albert Bifet and Talel Abdessalem: “Predicting over-indebtedness on batch and streaming data” In: IEEE International Conference on Big Data (Big Data), Boston, MA, 2017, pp. 1504-1513.

  • Jacob Montiel, Hamid Laga and Masayuki Nakajima: “Prototype-based Intraclass Pose Recognition of Partial 3D Scans”. In: NICOGRAPH International. 2009


Posters

  • “Scalable Model-based Cascaded Imputation of Missing Data”, Data Science Summer School (DS3), Paris, 2017

  • “A Framework for Over-indebtedness Risk Prediction”, Junior Conference on Data Science and Engineering (JDSE16), Paris, 2016