Calibrating the Classifier: Siamese Neural Network Architecture for End-to-End Arousal Recognition from ECG Andrea Patan`e and Marta Kwiatkowska Department of Computer Science, University of Oxford

Source URL: qav.comlab.ox.ac.uk

• Artificial neural networks
• Computational neuroscience
• Applied mathematics
• Neuroscience
• Cybernetics
• Computational statistics
• Market research
• Deep learning
• Heart rate variability
• Emotion recognition
• Recurrent neural network
• Affective computing

Secure Authentication in the Grid: A formal analysis of DNP3: SAv5 Cas Cremers, Martin Dehnel-Wild, Kevin Milner Department of Computer Science, University of Oxford. {cas.cremers,martin.dehnel-wild,kevin.milner}@cs.ox.a

Source URL: www.cs.ox.ac.uk

Comprehending Ringads for Phil Wadler, on the occasion of his 60th birthday Jeremy Gibbons Department of Computer Science, University of Oxford http://www.cs.ox.ac.uk/jeremy.gibbons/

Source URL: www.cs.ox.ac.uk

A Closed-loop quantitative verification of rate-adaptive pacemakers NICOLA PAOLETTI, University of Oxford, Department of Computer Science ANDREA PATANE` , University of Catania, Department of Mathematics and Computer Sci

Source URL: www.nicolapaoletti.com

AMULET3 Revealed J. D. Garside, S. B. Furber and S-H Chung Department of Computer Science, The University of Manchester, Oxford Road, Manchester M13 9PL, UK. {jgarside, sfurber, chungsh}@cs.man.ac.uk Abstract

Source URL: apt.cs.manchester.ac.uk

OFFER: Off-Environment Reinforcement Learning Kamil Ciosek Shimon Whiteson Department of Computer Science, University of Oxford

Source URL: www.ciosek.net

Quality of Service (QoS) for Asynchronous On-Chip Networks Tomaz Felicijan and Steve Furber Department of Computer Science The University of Manchester Oxford Road, Manchester, M13 9PL, UK {felicijt,sfurber}@cs.man.ac.uk

Source URL: apt.cs.manchester.ac.uk

OFFER: Off-Environment Reinforcement Learning Kamil Ciosek Shimon Whiteson Department of Computer Science, University of Oxford, United Kingdom

Source URL: www.cs.ox.ac.uk

Measuring third party tracker power across web and mobile∗ † REUBEN BINNS, JUN ZHAO, MAX VAN KLEEK, NIGEL SHADBOLT, University of Oxford, Department of Computer Science, UK Third-party networks collect vast amounts o

Source URL: arxiv.org

Short Paper: A Longitudinal Study of Financial Apps in the Google Play Store Vincent F. Taylor and Ivan Martinovic Department of Computer Science, University of Oxford, Oxford, United Kingdom.

Source URL: fc17.ifca.ai