23 citations · 52 across the 14 of their papers we have counts for
5 papers · 1 filter
Online Guest Detection in a Smart Home using Pervasive Sensors and Probabilistic Reasoning
Jennifer Renoux, Uwe Köckemann, Amy Loutfi
Smart home environments equipped with distributed sensor networks are capable of helping people by providing services related to health, emergency detection or daily routine manage…
Symbolic Learning and Reasoning with Noisy Data for Probabilistic Anchoring
Pedro Zuidberg Dos Martires, Nitesh Kumar, Andreas Persson +2
Robotic agents should be able to learn from sub-symbolic sensor data, and at the same time, be able to reason about objects and communicate with humans on a symbolic level. This ra…
Learning from Implicit Information in Natural Language Instructions for Robotic Manipulations
Ozan Arkan Can, Pedro Zuidberg Dos Martires, Andreas Persson +5
Human-robot interaction often occurs in the form of instructions given from a human to a robot. For a robot to successfully follow instructions, a common representation of the worl…
Semantic Referee: A Neural-Symbolic Framework for Enhancing Geospatial Semantic Segmentation
Marjan Alirezaie, Martin Längkvist, Michael Sioutis +1
Understanding why machine learning algorithms may fail is usually the task of the human expert that uses domain knowledge and contextual information to discover systematic shortcom…
Reasoning for Improved Sensor Data Interpretation in a Smart Home
Marjan Alirezaie, Amy Loutfi
In this paper an ontological representation and reasoning paradigm has been proposed for interpretation of time-series signals. The signals come from sensors observing a smart envi…