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A review of unsupervised feature learning and deep learning for time-series modeling
Sleep Stage Classification Using Unsupervised Feature Learning
The use of an unsupervised feature learning architecture called deep belief nets (DBNs) is proposed and how to apply it to sleep data in order to eliminate the use of handmade features is shown.
GiraffPlus: Combining social interaction and long term monitoring for promoting independent living
- S. Coradeschi, A. Cesta, B. Otslund
- Computer ScienceInternational Conference on Human System…
- 1 June 2013
A general overview of the GiraffPlus system is provided, which consists of a network of home sensors that can be automatically configured to collect data for a range of monitoring services; a semi-autonomous telepresence robot; a sophisticated context recognition system that can give high-level and long term interpretations of the collected data and respond to certain events.
Reasoning about Concurrent Interaction
It is demonstrated how TAL-C can represent a number of phenomena related to action concurrency: action duration, how the effects of one action interferes with or enables another action, synergistic effects of concurrent actions, conflicting and cumulative effect interactions, and resource conflicts.
An Ontology-based Context-aware System for Smart Homes: E-care@home
- Marjan Alirezaie, Jennifer Renoux, A. Loutfi
- Computer ScienceItalian National Conference on Sensors
- 1 July 2017
This paper presents a framework called E-care@home, consisting of an IoT infrastructure, which provides information with an unambiguous, shared meaning across IoT devices, end-users, relatives, health and care professionals and organizations.
Efficiently combining task and motion planning using geometric constraints
- F. Lagriffoul, Dimitar Dimitrov, J. Bidot, A. Saffiotti, L. Karlsson
- Computer ScienceInt. J. Robotics Res.
- 1 December 2014
A constraint-based approach is proposed to address a class of problems encountered in combined task and motion planning, which is called kinematically constrained problems, where a significant computational effort is spent on geometric backtrack search, which impairs search at the task level.
TAL: Temporal Action Logics Language Specification and Tutorial
- P. Doherty, J. Gustafsson, L. Karlsson, Jonas Kvarnström
- Computer ScienceElectronic Transactions on Artifical Intelligence
This article discusses distinctions and compatibility with FF, moves on to the lightweight language specication, and presents a tutorial in terms of an excursion through the different parts of a relatively complex narrative defined using TAL, an acronym for Temporal Action Logics.
Conditional progressive planning under uncertainty
- L. Karlsson
- Computer ScienceInternational Joint Conference on Artificial…
- 4 August 2001
PTLplan is a progressive planner that uses strategic knowledge encoded in a temporal logic to reduce its search space and provide some promising data from performance tests.
Geometric backtracking for combined task and motion planning in robotic systems
Constraint propagation on interval bounds for dealing with geometric backtracking
- F. Lagriffoul, Dimitar Dimitrov, A. Saffiotti, L. Karlsson
- Computer ScienceIEEE/RSJ International Conference on Intelligent…
- 24 December 2012
This paper uses intervals to represent geometric configurations, and constraint propagation techniques to shrink these intervals according to the geometric constraints of the problem, and reports experiments that show how the search space is reduced.