Modelling activities in molecular biology face the difficulty of prediction to link molecular knowledge with cell phenotypes. Even when the interaction graph between molecules is k...
This paper discusses novel research conducted to study the direct impact of learner's affective changes on the value of a well established EEG-mental engagement index. An acq...
Maher Chaouachi, Pierre Chalfoun, Imene Jraidi, Cl...
Semi-supervised learning has emerged as a popular framework for improving modeling accuracy while controlling labeling cost. Based on an extension of stochastic composite likeliho...
Joshua Dillon, Krishnakumar Balasubramanian, Guy L...
Finding the sparsest solution for an under-determined linear system of equations D = s is of interest in many applications. This problem is known to be NP-hard. Recent work studie...
Loop closure in proteins requires computing the values of the inverse kinematics (IK) map for a backbone fragment with 2n 6 torsional degrees of freedom (dofs). It occurs in a va...
R. James Milgram, Guanfeng Liu, Jean-Claude Latomb...