• Optimization of deep learning precipitation models using categorical binary metrics 

  Larraondo P.R.; Renzullo L.J.; Van Dijk A.I.J.M.; Inza I.; Lozano J.A. (Journal of Advances in Modeling Earth Systems, 2020)

  This work introduces a methodology for optimizing neural network models using a combination of continuous and categorical binary indices in the context of precipitation forecasting. Probability of detection or false alarm ...

• A Bilinear Strategy for Calderón’s Problem 

  Ponce Vanegas F. (Revista Matemática Iberoamericana, 2020-05)

  Electrical Impedance Imaging would suffer a serious obstruction if two different conductivities yielded the same measurements of potential and current at the boundary. The Calderón’s problem is to decide whether the ...

• Reparameterization of ruled surfaces: toward generating smooth jerk-minimized toolpaths for multi-axis flank CNC milling 

  Hashemian A.; Bo P.; Barton M. (Computer-Aided Design, 2020-05)

  This paper presents a novel jerk minimization algorithm in the context of multi-axis flank CNC machining. The toolpath of the milling axis in a flank milling process, a ruled surface, is reparameterized by a B-spline ...

• Exact Constructions in the (Non-linear) Planar Theory of Elasticity: From Elastic Crystals to Nematic Elastomers 

  Cesana P.; Della Porta F.; Rüland A.; Zillinger C.; Zwicknagl B. (Archive for Rational Mechanics and Analysis, 2020-07)

  In this article we deduce necessary and sufficient conditions for the presence of “Conti-type”, highly symmetric, exactly stress-free constructions in the geometrically non-linear, planar n-well problem, generalising results ...

• A hypothesis about parallelism vs. seriality in dreams 

  Barcaro U.; Paradisi P.; Sebastiani L. (Front. Psychol., 2019-10-10)

  The current article discusses the hypothesis about parallelism vs. Seriality in dreams. The process of dream building implies the construction of a complex network of closely interrelated sources. On the other hand, the ...

Más