output
20142021
most citedBeyond temperature scaling: Obtaining well-calibrated multiclass probabilities with Dirichlet calibration

162 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions
Showing 2018Show all

6 papers · 1 filter

eess.SP2018★ 12 cited

Energy Efficiency in Reinforcement Learning for Wireless Sensor Networks

Michal Kozlowski, Ryan McConville, Raul Santos-Rodriguez +1

As sensor networks for health monitoring become more prevalent, so will the need to control their usage and consumption of energy. This paper presents a method which leverages the…

cs.CV2018

DeepKey: Towards End-to-End Physical Key Replication From a Single Photograph

Rory Smith, Tilo Burghardt

This paper describes DeepKey, an end-to-end deep neural architecture capable of taking a digital RGB image of an 'everyday' scene containing a pin tumbler key (e.g. lying on a tabl…

stat.AP2018★ 4 cited

Online Heart Rate Prediction using Acceleration from a Wrist Worn Wearable

Ryan McConville, Gareth Archer, Ian Craddock +4

In this paper we study the prediction of heart rate from acceleration using a wrist worn wearable. Although existing photoplethysmography (PPG) heart rate sensors provide reliable…

stat.ML2018★ 3 cited

Non-Parametric Calibration of Probabilistic Regression

Hao Song, Meelis Kull, Peter Flach

The task of calibration is to retrospectively adjust the outputs from a machine learning model to provide better probability estimates on the target variable. While calibration has…

cs.OH2018★ 2 cited

A Guide to the SPHERE 100 Homes Study Dataset

Atis Elsts, Tilo Burghardt, Dallan Byrne +18

The SPHERE project has developed a multi-modal sensor platform for health and behavior monitoring in residential environments. So far, the SPHERE platform has been deployed for dat…

cs.CV2018★ 7 cited

Action Completion: A Temporal Model for Moment Detection

Farnoosh Heidarivincheh, Majid Mirmehdi, Dima Damen

We introduce completion moment detection for actions - the problem of locating the moment of completion, when the action's goal is confidently considered achieved. The paper propos…