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 Steven Reece

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Average citations per article3.67
Citation Count88
Publication count24
Publication years1992-2016
Available for download13
Average downloads per article200.46
Downloads (cumulative)2,606
Downloads (12 Months)338
Downloads (6 Weeks)34
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25 results found Export Results: bibtexendnoteacmrefcsv

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1
September 2016 Journal of Artificial Intelligence Research: Volume 57 Issue 1, September 2016
Publisher: AI Access Foundation
Bibliometrics:
Citation Count: 0

Major natural or man-made disasters such as Hurricane Katrina or the 9/11 terror attacks pose significant challenges for emergency responders. First, they have to develop an understanding of the unfolding event either using their own resources or through third-parties such as the local population and agencies. Second, based on the ...

2
January 2016 Autonomous Agents and Multi-Agent Systems: Volume 30 Issue 1, January 2016
Publisher: Kluwer Academic Publishers
Bibliometrics:
Citation Count: 2

In the aftermath of major disasters, first responders are typically overwhelmed with large numbers of, spatially distributed, search and rescue tasks, each with their own requirements. Moreover, responders have to operate in highly uncertain and dynamic environments where new tasks may appear and hazards may be spreading across the disaster ...
Keywords: Human---agent interaction, Disaster response, Human---agent collectives

3
May 2015 WWW '15: Proceedings of the 24th International Conference on World Wide Web
Publisher: International World Wide Web Conferences Steering Committee
Bibliometrics:
Citation Count: 4
Downloads (6 Weeks): 1,   Downloads (12 Months): 52,   Downloads (Overall): 192

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Social media has led to the democratisation of opinion sharing. A wealth of information about public opinions, current events, and authors' insights into specific topics can be gained by understanding the text written by users. However, there is a wide variation in the language used by different authors in different ...
Keywords: text classification, machine learning, crowdsourcing, classifier combination, human computation, sentiment analysis, variational bayes

4
May 2015 AAMAS '15: Proceedings of the 2015 International Conference on Autonomous Agents and Multiagent Systems
Publisher: International Foundation for Autonomous Agents and Multiagent Systems
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 5,   Downloads (12 Months): 20,   Downloads (Overall): 30

Full text available: PDFPDF
Keywords: disaster response, human and agents, innovative applications

5
May 2015 AAMAS '15: Proceedings of the 2015 International Conference on Autonomous Agents and Multiagent Systems
Publisher: International Foundation for Autonomous Agents and Multiagent Systems
Bibliometrics:
Citation Count: 5
Downloads (6 Weeks): 10,   Downloads (12 Months): 51,   Downloads (Overall): 118

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This paper proposes a novel disaster management system called HAC-ER that addresses some of the challenges faced by emergency responders by enabling humans and agents, using state-of-the-art algorithms, to collaboratively plan and carry out tasks in teams referred to as human-agent collectives. In particular, HAC-ER utilises crowdsourcing combined with machine ...
Keywords: human and agents, innovative applications, disaster response

6 published by ACM
April 2015 CHI '15: Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems
Publisher: ACM
Bibliometrics:
Citation Count: 6
Downloads (6 Weeks): 5,   Downloads (12 Months): 78,   Downloads (Overall): 303

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Command and control environments ranging from transport control rooms to disaster response have long been of interest to HCI and CSCW as rich sites of interactive technology use embedded in work practice. Drawing on our engagement with disaster response teams, including ethnography of their training work, we unpack the ways ...
Keywords: disaster response, situation awareness, ethnography, tabletop, collaboration, uncertainty, crisis informatics

7 published by ACM
March 2015 ACM Transactions on Intelligent Systems and Technology (TIST): Volume 6 Issue 1, April 2015
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 12,   Downloads (12 Months): 53,   Downloads (Overall): 201

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Minimizing the energy consumed by heating, ventilation, and air conditioning (HVAC) systems of residential buildings without impacting occupants’ comfort has been highlighted as an important artificial intelligence (AI) challenge. Typically, approaches that seek to address this challenge use a model that captures the thermal dynamics within a building, also referred ...
Keywords: Artificial intelligence, energy savings, latent force models, thermal models, HVAC, smart homes, residential buildings, sustainability

8
May 2014 AAMAS '14: Proceedings of the 2014 international conference on Autonomous agents and multi-agent systems
Publisher: International Foundation for Autonomous Agents and Multiagent Systems
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 4,   Downloads (12 Months): 21,   Downloads (Overall): 59

Full text available: PDFPDF
Keywords: flexible autonomy, human-agent collectives, disaster response

9
January 2014 The Journal of Machine Learning Research: Volume 15 Issue 1, January 2014
Publisher: JMLR.org
Bibliometrics:
Citation Count: 1
Downloads (6 Weeks): 1,   Downloads (12 Months): 10,   Downloads (Overall): 45

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Latent force models (LFM) are principled approaches to incorporating solutions to differential equations within non-parametric inference methods. Unfortunately, the development and application of LFMs can be inhibited by their computational cost, especially when closed-form solutions for the LFM are unavailable, as is the case in many real world problems where ...
Keywords: latent force models, Gaussian processes, Kalman filter, kernel principle component analysis, queueing theory

10
May 2013 AAMAS '13: Proceedings of the 2013 international conference on Autonomous agents and multi-agent systems
Publisher: International Foundation for Autonomous Agents and Multiagent Systems
Bibliometrics:
Citation Count: 1
Downloads (6 Weeks): 5,   Downloads (12 Months): 14,   Downloads (Overall): 53

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We present AgentSwitch, a prototype agent-based platform to solve the tariff selection problem for homeowners. AgentSwitch incorporates novel algorithms that work on the coarse data provided by smart meters to make predictions of hourly energy usage as well as detect (and suggest to the user) deferrable loads that could be ...
Keywords: provenance, energy, group buying, smart grids

11
May 2013 AAMAS '13: Proceedings of the 2013 international conference on Autonomous agents and multi-agent systems
Publisher: International Foundation for Autonomous Agents and Multiagent Systems
Bibliometrics:
Citation Count: 4
Downloads (6 Weeks): 5,   Downloads (12 Months): 12,   Downloads (Overall): 116

Full text available: PDFPDF
In this paper, we present AgentSwitch, a prototype agent-based platform to solve the electricity tariff selection problem. Agent-Switch incorporates novel algorithms to make predictions of hourly energy usage as well as detect (and suggest to the user) deferrable loads that could be shifted to off-peak times to maximise savings. To ...
Keywords: group buying, smart grid, electricity, optimisation, provenance, recommender systems

12 published by ACM
March 2013 IUI '13: Proceedings of the 2013 international conference on Intelligent user interfaces
Publisher: ACM
Bibliometrics:
Citation Count: 2
Downloads (6 Weeks): 3,   Downloads (12 Months): 29,   Downloads (Overall): 346

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We present a system and study of personalized energy-related recommendation. AgentSwitch utilizes electricity usage data collected from users' households over a period of time to realize a range of smart energy-related recommendations on energy tariffs, load detection and usage shifting. The web service is driven by a third party real-time ...
Keywords: load shifting, energy tariffs, personalization, smart grid, demand response, recommender systems

13
December 2012 ICDM '12: Proceedings of the 2012 IEEE 12th International Conference on Data Mining
Publisher: IEEE Computer Society
Bibliometrics:
Citation Count: 1

Novelty, or abnormality, detection aims to identify patterns within data streams that do not conform to expected behaviour. This paper introduces a novelty detection technique using a combination of Gaussian Processes and extreme value theory to identify anomalous behaviour in streaming data. The proposed combination of continuous and count stochastic ...
Keywords: Gaussian Process, Extreme Value, Maritime Traffic, Novelty Detection, Outlier Detection

14
November 2010 The Computer Journal: Volume 53 Issue 9, November 2010
Publisher: Oxford University Press
Bibliometrics:
Citation Count: 5

We introduce a new sequential algorithm for making robust predictions in the presence of changepoints. Unlike previous approaches, which focus on the problem of detecting and locating changepoints, our algorithm focuses on the problem of making predictions even when such changes might be present. We introduce nonstationary covariance functions to ...

15
October 2008 Journal of Artificial Intelligence Research: Volume 33 Issue 1, September 2008
Publisher: AI Access Foundation
Bibliometrics:
Citation Count: 4

In this paper, we elucidate the equivalence between inference in game theory and machine learning. Our aim in so doing is to establish an equivalent vocabulary between the two domains so as to facilitate developments at the intersection of both fields, and as proof of the usefulness of this approach, ...

16
July 2007 AAAI'07: Proceedings of the 22nd national conference on Artificial intelligence - Volume 1
Publisher: AAAI Press
Bibliometrics:
Citation Count: 8

In this paper we develop a novel probabilistic model of computational trust that allows agents to exchange and combine reputation reports over heterogeneous, correlated multi-dimensional contracts. We consider the specific case of an agent attempting to procure a bundle of services that are subject to correlated quality of service failures ...

17 published by ACM
May 2007 AAMAS '07: Proceedings of the 6th international joint conference on Autonomous agents and multiagent systems
Publisher: ACM
Bibliometrics:
Citation Count: 21
Downloads (6 Weeks): 2,   Downloads (12 Months): 12,   Downloads (Overall): 326

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In this paper we develop a novel probabilistic model of computational trust that explicitly deals with correlated multi-dimensional contracts. Our starting point is to consider an agent attempting to estimate the utility of a contract, and we show that this leads to a model of computational trust whereby an agent ...
Keywords: rumour propogation, Dirichlet distribution, multi-dimensional trust

18 published by ACM
May 2006 AAMAS '06: Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 1,   Downloads (12 Months): 11,   Downloads (Overall): 372

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Conventional information fusion architectures are challenged by developments in sensor networks that allow individually-owned (and thereby selfish) sensors to interact and share data. Given this, we advocate the use of tools and techniques from computational mechanism design, a field at the intersection of computer science, game theory and economics, to ...
Keywords: sensor networks, computational mechanism design

19
April 2002 IEEE Transactions on Signal Processing: Volume 50 Issue 4, April 2002
Publisher: IEEE Press
Bibliometrics:
Citation Count: 0

First Page of the Article

20
November 2001 IEEE Transactions on Signal Processing: Volume 49 Issue 11, November 2001
Publisher: IEEE Press
Bibliometrics:
Citation Count: 1

The problem of nonlinear estimation is reexamined, and a new semi-parametric representation of uncertainty called the Biscay distribution is presented. The Biscay distribution is combined with the extended Kalman filter (EKF) and a new filtering paradigm called the Biscay distribution filter (BDF) is developed. The BDF is provably optimal for ...



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