LOD 2018 Best Paper Award
Springer sponsors the LOD 2018 Best Paper Award with a cash prize of 1,000 Euro.
Past Awards
- LOD 2018:
“Calibrating the Classifier: Siamese Neural Network Architecture for End-to-End Arousal Recognition from ECG”
Andrea Patanè* and Marta Kwiatkowska*
*Department of Computer Science, University of Oxford, UK
andrea.patane@chch.ox.ac.uk - MOD 2017:
“Recipes for Translating Big Data Machine Reading to Executable Cellular Signaling Models”
Khaled Sayed*, Cheryl Telmer**, Adam Butchy* & Natasa Miskov-Zivanov**
*University of Pittsburgh, USA **Carnegie Mellon University, USA k.sayed@pitt.edu, ctelmer@andrew.cmu.edu, aab133@pitt.edu, nmiskov@andrew.cmu.edu - MOD 2016:
“Machine Learning: Multi-site Evidence-based Best Practice Discovery”
Eva Lee*, Yuanbo Wang and Matthew Hagen
*Professor Director, Center for Operations Research in Medicine and HealthCare H. Milton Stewart School of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta, GA, USA
eva.lee@gatech.edu - MOD 2015:
“Learning with Discrete Least Squares on Multivariate Polynomial Spaces using Evaluations at Random or Low-Discrepancy Point Sets”
Giovanni Migliorati
Ecole Polytechnique Fédérale de Lausanne – EPFL, Lausanne, Switzerland
giovanni.migliorati@gmail.com