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ORCIDAlun D. Preece
Alun David Preece
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- affiliation: Cardiff University, Crime and Security Research Institute, UK
- affiliation: University of Aberdeen, UK
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2020 – today
- 2024
[i41]Jack Furby, Daniel Cunnington, Dave Braines, Alun D. Preece:
Can we Constrain Concept Bottleneck Models to Learn Semantically Meaningful Input Features? CoRR abs/2402.00912 (2024)- 2023
- [j54]Iain Barclay
, Alun D. Preece, Ian J. Taylor, Swapna Krishnakumar Radha, Jarek Nabrzyski:
Providing assurance and scrutability on shared data and machine learning models with verifiable credentials. Concurr. Comput. Pract. Exp. 35(18) (2023) - [j53]Marc Roig Vilamala, Tianwei Xing, Harrison Taylor, Luis Garcia, Mani Srivastava, Lance M. Kaplan, Alun D. Preece, Angelika Kimmig, Federico Cerutti:
DeepProbCEP: A neuro-symbolic approach for complex event processing in adversarial settings. Expert Syst. Appl. 215: 119376 (2023) - [j52]Dimosthenis Antypas, Alun D. Preece, José Camacho-Collados:
Negativity spreads faster: A large-scale multilingual twitter analysis on the role of sentiment in political communication. Online Soc. Networks Media 33: 100242 (2023) - [c100]Marc Roig Vilamala, Dave Braines, Federico Cerutti, Alun D. Preece:
Visualizing Logic Explanations for Social Media Moderation. AAMAS 2023: 3056-3058 - [i40]Jack Furby, Daniel Cunnington, Dave Braines, Alun D. Preece:
Towards a Deeper Understanding of Concept Bottleneck Models Through End-to-End Explanation. CoRR abs/2302.03578 (2023) - [i39]Cai Davies, Marc Roig Vilamala, Alun D. Preece, Federico Cerutti, Lance M. Kaplan, Supriyo Chakraborty:
Knowledge from Uncertainty in Evidential Deep Learning. CoRR abs/2310.12663 (2023) - 2022
- [j51]Iain Barclay, Chris Simpkin, Graham A. Bent, Tom La Porta, Declan Millar, Alun D. Preece, Ian J. Taylor, Dinesh C. Verma:
Trustable service discovery for highly dynamic decentralized workflows. Future Gener. Comput. Syst. 134: 236-246 (2022) - [j50]James R. Ashford, Liam D. Turner, Roger M. Whitaker, Alun D. Preece, Diane Felmlee:
Understanding the characteristics of COVID-19 misinformation communities through graphlet analysis. Online Soc. Networks Media 27: 100178 (2022) - [j49]David Rogers, Alun D. Preece, Martin Innes, Irena Spasic:
Real-Time Text Classification of User-Generated Content on Social Media: Systematic Review. IEEE Trans. Comput. Soc. Syst. 9(4): 1154-1166 (2022) - [c99]Graham A. Bent, Chris Simpkin, Yuhua Li, Alun D. Preece:
Hyperdimensional Computing Using Time-To-Spike Neuromorphic Circuits. IJCNN 2022: 1-8 - [i38]Dimosthenis Antypas, Alun D. Preece, José Camacho-Collados:
Politics and Virality in the Time of Twitter: A Large-Scale Cross-Party Sentiment Analysis in Greece, Spain and United Kingdom. CoRR abs/2202.00396 (2022) - 2021
- [j48]Iain Barclay, Harrison Taylor, Alun D. Preece, Ian J. Taylor, Dinesh C. Verma, Geeth de Mel:
A framework for fostering transparency in shared artificial intelligence models by increasing visibility of contributions. Concurr. Comput. Pract. Exp. 33(19) (2021) - [c98]Dimosthenis Antypas, José Camacho-Collados, Alun D. Preece, David Rogers:
COVID-19 and Misinformation: A Large-Scale Lexical Analysis on Twitter. ACL (student) 2021: 119-126 - [c97]Aleksandra Edwards, David Rogers, José Camacho-Collados, Hélène de Ribaupierre, Alun D. Preece:
Predicting Themes within Complex Unstructured Texts: A Case Study on Safeguarding Reports. DeepOntoNLP/X-SENTIMENT@ESWC 2021: 1-10 - [c96]Dave Braines, Alun D. Preece, Colin Roberts, Erik Blasch:
Supporting Agile User Fusion Analytics through Human-Agent Knowledge Fusion. FUSION 2021: 1-8 - [c95]Cai Davies, James R. Ashford, Luis Espinosa Anke, Alun D. Preece, Liam D. Turner, Roger M. Whitaker, Mudhakar Srivatsa, Diane Felmlee:
Multi-Scale User Migration on Reddit. ICWSM Workshops 2021 - [c94]Tianwei Xing, Luis Garcia, Federico Cerutti, Lance M. Kaplan, Alun D. Preece, Mani B. Srivastava:
DeepSQA: Understanding Sensor Data via Question Answering. IoTDI 2021: 106-118 - [i37]Iain Barclay, Harrison Taylor, Alun D. Preece, Ian J. Taylor, Dinesh C. Verma, Geeth de Mel:
A framework for fostering transparency in shared artificial intelligence models by increasing visibility of contributions. CoRR abs/2103.03610 (2021) - [i36]Iain Barclay, Michael Cooper, Alun D. Preece, Omer F. Rana, Ian J. Taylor:
Tokenising behaviour change: optimising blockchain technology for sustainable transport interventions. CoRR abs/2104.01852 (2021) - [i35]Iain Barclay, Alun D. Preece, Ian J. Taylor, Swapna Krishnakumar Radha, Jarek Nabrzyski:
Providing Assurance and Scrutability on Shared Data and Machine Learning Models with Verifiable Credentials. CoRR abs/2105.06370 (2021) - [i34]David Tuxworth, Dimosthenis Antypas, Luis Espinosa Anke, José Camacho-Collados, Alun D. Preece, David Rogers:
Deriving Disinformation Insights from Geolocalized Twitter Callouts. CoRR abs/2108.03067 (2021) - [i33]Marc Roig Vilamala, Tianwei Xing, Harrison Taylor, Luis Garcia, Mani B. Srivastava, Lance M. Kaplan, Alun D. Preece, Angelika Kimmig, Federico Cerutti:
Using DeepProbLog to perform Complex Event Processing on an Audio Stream. CoRR abs/2110.08090 (2021) - [i32]Aleksandra Edwards, Asahi Ushio, José Camacho-Collados, Hélène de Ribaupierre, Alun D. Preece:
Guiding Generative Language Models for Data Augmentation in Few-Shot Text Classification. CoRR abs/2111.09064 (2021) - [i31]Mihai Boicu, Erik Blasch, Alun D. Preece:
AAAI FSS-21: Artificial Intelligence in Government and Public Sector Proceedings. CoRR abs/2112.05614 (2021) - 2020
- [j47]Chris Simpkin, Ian J. Taylor, Daniel Harborne, Graham A. Bent, Alun D. Preece, Raghu K. Ganti:
Efficient orchestration of Node-RED IoT workflows using a Vector Symbolic Architecture. Future Gener. Comput. Syst. 111: 117-131 (2020) - [j46]Richard Tomsett, Alun D. Preece, Dave Braines, Federico Cerutti, Supriyo Chakraborty, Mani B. Srivastava, Gavin Pearson, Lance M. Kaplan:
Rapid Trust Calibration through Interpretable and Uncertainty-Aware AI. Patterns 1(4): 100049 (2020) - [c93]Richard Tomsett, Dan Harborne, Supriyo Chakraborty, Prudhvi Gurram, Alun D. Preece:
Sanity Checks for Saliency Metrics. AAAI 2020: 6021-6029 - [c92]James R. Ashford, Liam D. Turner, Roger M. Whitaker, Alun D. Preece, Diane Felmlee:
Assessing temporal and spatial features in detecting disruptive users on Reddit. ASONAM 2020: 892-896 - [c91]Aleksandra Edwards, José Camacho-Collados, Hélène de Ribaupierre, Alun D. Preece:
Go Simple and Pre-Train on Domain-Specific Corpora: On the Role of Training Data for Text Classification. COLING 2020: 5522-5529 - [c90]Sam Vente, Angelika Kimmig, Alun David Preece, Federico Cerutti:
Increasing Negotiation Performance at the Edge of the Network. EUMAS/AT 2020: 351-365 - [c89]Harrison Taylor, Liam Hiley, Jack Furby, Alun D. Preece, Dave Braines:
VADR: Discriminative Multimodal Explanations for Situational Understanding. FUSION 2020: 1-8 - [c88]Tianwei Xing, Luis Garcia, Marc Roig Vilamala, Federico Cerutti, Lance M. Kaplan, Alun D. Preece, Mani B. Srivastava:
Neuroplex: learning to detect complex events in sensor networks through knowledge injection. SenSys 2020: 489-502 - [c87]Iain Barclay, Chris Simpkin, Graham A. Bent, Tom La Porta, Declan Millar, Alun D. Preece, Ian J. Taylor, Dinesh C. Verma:
Enabling Discoverable Trusted Services for Highly Dynamic Decentralized Workflows. WORKS@SC 2020: 41-48 - [i30]Sam Vente, Angelika Kimmig, Alun D. Preece, Federico Cerutti:
Increasing negotiation performance at the edge of the network. CoRR abs/2003.13668 (2020) - [i29]Liam Hiley, Alun D. Preece, Yulia Hicks, Supriyo Chakraborty, Prudhvi Gurram, Richard Tomsett:
Explaining Motion Relevance for Activity Recognition in Video Deep Learning Models. CoRR abs/2003.14285 (2020) - [i28]Sam Vente, Angelika Kimmig, Alun D. Preece, Federico Cerutti:
The current state of automated negotiation theory: a literature review. CoRR abs/2004.02614 (2020) - [i27]Iain Barclay, Swapna Krishnakumar Radha, Alun D. Preece, Ian J. Taylor, Jarek Nabrzyski:
Certifying Provenance of Scientific Datasets with Self-sovereign Identity and Verifiable Credentials. CoRR abs/2004.02796 (2020) - [i26]Marc Roig Vilamala, Harrison Taylor, Tianwei Xing, Luis Garcia, Mani B. Srivastava, Lance M. Kaplan, Alun D. Preece, Angelika Kimmig, Federico Cerutti:
A Hybrid Neuro-Symbolic Approach for Complex Event Processing. CoRR abs/2009.03420 (2020) - [i25]Iain Barclay, Maria Freytsis, Sherri L. Bucher, Swapna Krishnakumar Radha, Alun D. Preece, Ian J. Taylor:
Towards a Modelling Framework for Self-Sovereign Identity Systems. CoRR abs/2009.04327 (2020) - [i24]Dave Braines, Federico Cerutti, Marc Roig Vilamala, Mani B. Srivastava, Lance M. Kaplan, Alun D. Preece, Gavin Pearson:
Towards human-agent knowledge fusion (HAKF) in support of distributed coalition teams. CoRR abs/2010.12327 (2020) - [i23]Katie Barrett-Powell, Jack Furby, Liam Hiley, Marc Roig Vilamala, Harrison Taylor, Federico Cerutti, Alun D. Preece, Tianwei Xing, Luis Garcia, Mani B. Srivastava, Dave Braines:
An Experimentation Platform for Explainable Coalition Situational Understanding. CoRR abs/2010.14388 (2020) - [i22]Aleksandra Edwards, David Rogers, José Camacho-Collados, Hélène de Ribaupierre, Alun D. Preece:
Predicting Themes within Complex Unstructured Texts: A Case Study on Safeguarding Reports. CoRR abs/2010.14584 (2020) - [i21]Frank Stein, Alun D. Preece:
AAAI FSS-20: Artificial Intelligence in Government and Public Sector Proceedings. CoRR abs/2011.04527 (2020)
2010 – 2019
- 2019
- [c86]Aleksandra Edwards, Alun D. Preece, Hélène de Ribaupierre:
Knowledge Extraction from a Small Corpus of Unstructured Safeguarding Reports. ESWC (Satellite Events) 2019: 38-42 - [c85]Dave Braines, Richard Tomsett, Alun D. Preece:
Supporting User Fusion of AI Services through Conversational Explanations. FUSION 2019: 1-8 - [c84]Marc Roig Vilamala, Liam Hiley, Yulia Hicks, Alun D. Preece, Federico Cerutti:
A Pilot Study on Detecting Violence in Videos Fusing Proxy Models. FUSION 2019: 1-8 - [c83]Linsong Chu, Ramya Raghavendra, Mudhakar Srivatsa, Alun D. Preece, Daniel Harborne:
Feature Importance Identification through Bottleneck Reconstruction. ICCC 2019: 64-66 - [c82]Iain Barclay, Alun D. Preece, Ian J. Taylor, Dinesh C. Verma:
Towards Traceability in Data Ecosystems using a Bill of Materials Model. IWSG 2019 - [c81]Chris Simpkin, Ian J. Taylor, Alun D. Preece, Graham A. Bent, Richard Tomsett, Raghu K. Ganti, Olwen Worthington:
Coalition C3 Information Exchange Using Binary Symbolic Vectors. MILCOM 2019: 784-789 - [c80]Tianwei Xing, Marc Roig Vilamala, Luis Garcia, Federico Cerutti, Lance M. Kaplan, Alun D. Preece, Mani B. Srivastava:
DeepCEP: Deep Complex Event Processing Using Distributed Multimodal Information. SMARTCOMP 2019: 87-92 - [c79]Richard Tomsett, Graham A. Bent, Christopher Simpkin, Ian J. Taylor, Daniel Harborne, Alun D. Preece, Raghu K. Ganti:
Demonstration of Dynamic Distributed Orchestration of Node-RED IoT Workflows Using a Vector Symbolic Architecture. SMARTCOMP 2019: 464-467 - [c78]James R. Ashford, Liam D. Turner, Roger M. Whitaker, Alun D. Preece, Diane Felmlee, Don Towsley:
Understanding the Signature of Controversial Wikipedia Articles through Motifs in Editor Revision Networks. WWW (Companion Volume) 2019: 1180-1187 - [p2]Alun D. Preece:
Sensor Assignment to Missions: A Natural Language Knowledge-Based Approach. Mission-Oriented Sensor Networks and Systems (1) 2019: 227-263 - [i20]Iain Barclay, Alun D. Preece, Ian J. Taylor, Dinesh C. Verma:
A Conceptual Architecture for Contractual Data Sharing in a Decentralised Environment. CoRR abs/1904.03045 (2019) - [i19]Iain Barclay, Alun D. Preece, Ian J. Taylor, Dinesh C. Verma:
Towards Traceability in Data Ecosystems using a Bill of Materials Model. CoRR abs/1904.04253 (2019) - [i18]James R. Ashford, Liam D. Turner, Roger M. Whitaker, Alun D. Preece, Diane Felmlee, Don Towsley:
Understanding the Signature of Controversial Wikipedia Articles through Motifs in Editor Revision Networks. CoRR abs/1904.08139 (2019) - [i17]Laura D'Arcy, Padraig Corcoran, Alun D. Preece:
Deep Q-Learning for Directed Acyclic Graph Generation. CoRR abs/1906.02280 (2019) - [i16]Iain Barclay, Alun D. Preece, Ian J. Taylor, Dinesh C. Verma:
Quantifying Transparency of Machine Learning Systems through Analysis of Contributions. CoRR abs/1907.03483 (2019) - [i15]Liam Hiley, Alun D. Preece, Yulia Hicks, A. David Marshall, Harrison Taylor:
Discriminating Spatial and Temporal Relevance in Deep Taylor Decompositions for Explainable Activity Recognition. CoRR abs/1908.01536 (2019) - [i14]Liam Hiley, Alun D. Preece, Yulia Hicks:
Explainable Deep Learning for Video Recognition Tasks: A Framework & Recommendations. CoRR abs/1909.05667 (2019) - [i13]Alun D. Preece:
BMVC 2019: Workshop on Interpretable and Explainable Machine Vision. CoRR abs/1909.07245 (2019) - [i12]Alun D. Preece, Dave Braines, Federico Cerutti, Tien Pham:
Explainable AI for Intelligence Augmentation in Multi-Domain Operations. CoRR abs/1910.07563 (2019) - [i11]Frank Stein, Alun D. Preece:
AAAI FSS-19: Artificial Intelligence in Government and Public Sector Proceedings. CoRR abs/1911.01156 (2019) - [i10]Richard Tomsett, Dan Harborne, Supriyo Chakraborty, Prudhvi Gurram, Alun D. Preece:
Sanity Checks for Saliency Metrics. CoRR abs/1912.01451 (2019) - 2018
- [j45]Alun D. Preece:
Asking 'Why' in AI: Explainability of intelligent systems - perspectives and challenges. Intell. Syst. Account. Finance Manag. 25(2): 63-72 (2018) - [j44]Alun D. Preece, Irena Spasic, Kieran Evans, David Rogers, William M. Webberley, Colin Roberts, Martin Innes:
Sentinel: A Codesigned Platform for Semantic Enrichment of Social Media Streams. IEEE Trans. Comput. Soc. Syst. 5(1): 118-131 (2018) - [c77]Federico Cerutti, Moustafa Alzantot, Tianwei Xing, Daniel Harborne, Jonathan Z. Bakdash, Dave Braines, Supriyo Chakraborty, Lance M. Kaplan, Angelika Kimmig, Alun D. Preece, Ramya Raghavendra, Murat Sensoy, Mani B. Srivastava:
Learning and Reasoning in Complex Coalition Information Environments: A Critical Analysis. FUSION 2018: 1-8 - [c76]Daniel Harborne, Dave Braines, Alun D. Preece, Rafal Rzepka:
Conversational Control Interface to Facilitate Situational Understanding in a City Surveillance Setting. LaCATODA@IJCAI 2018: 59-66 - [c75]Alun D. Preece, Dan Harborne, Ramya Raghavendra, Richard Tomsett, Dave Braines:
Provisioning Robust and Interpretable AI/ML-Based Service Bundles. MILCOM 2018: 1-9 - [i9]Richard Tomsett, Dave Braines, Dan Harborne, Alun D. Preece, Supriyo Chakraborty:
Interpretable to Whom? A Role-based Model for Analyzing Interpretable Machine Learning Systems. CoRR abs/1806.07552 (2018) - [i8]Lance M. Kaplan, Federico Cerutti, Murat Sensoy, Alun D. Preece, Paul Sullivan:
Uncertainty Aware AI ML: Why and How. CoRR abs/1809.07882 (2018) - [i7]Iain Barclay, Alun D. Preece, Ian J. Taylor:
Defining the Collective Intelligence Supply Chain. CoRR abs/1809.09444 (2018) - [i6]Alun D. Preece, Dan Harborne, Dave Braines, Richard Tomsett, Supriyo Chakraborty:
Stakeholders in Explainable AI. CoRR abs/1810.00184 (2018) - [i5]Alun D. Preece, Rob Ashelford, Harry Armstrong, Dave Braines:
Hows and Whys of Artificial Intelligence for Public Sector Decisions: Explanation and Evaluation. CoRR abs/1810.02689 (2018) - [i4]Frank Stein, Alun D. Preece, Mihai Boicu:
AAAI FSS-18: Artificial Intelligence in Government and Public Sector Proceedings. CoRR abs/1810.06018 (2018) - 2017
- [j43]Alun D. Preece, William M. Webberley, Dave Braines, Erin G. Zaroukian, Jonathan Z. Bakdash:
Sherlock: Experimental Evaluation of a Conversational Agent for Mobile Information Tasks. IEEE Trans. Hum. Mach. Syst. 47(6): 1017-1028 (2017) - [c74]Alun D. Preece, Dave Braines:
Conversational Services for Multi-Agency Situational Understanding. AAAI Fall Symposia 2017: 179-186 - [c73]Erin G. Zaroukian, Jonathan Z. Bakdash, Alun D. Preece, Will Webberley:
Automation bias with a conversational interface: User confirmation of misparsed information. CogSIMA 2017: 1-3 - [c72]Supriyo Chakraborty, Alun D. Preece, Moustafa Alzantot, Tianwei Xing, Dave Braines, Mani B. Srivastava:
Deep learning for situational understanding. FUSION 2017: 1-8 - [c71]Dave Braines, Anna Thomas, Lance M. Kaplan, Murat Sensoy, Jonathan Z. Bakdash, Magdalena Ivanovska, Alun D. Preece, Federico Cerutti:
Subjective Bayesian Networks and Human-in-the-Loop Situational Understanding. GKR 2017: 29-53 - [c70]Supriyo Chakraborty, Richard Tomsett, Ramya Raghavendra, Daniel Harborne, Moustafa Alzantot, Federico Cerutti, Mani B. Srivastava, Alun D. Preece, Simon Julier, Raghuveer M. Rao, Troy D. Kelley, Dave Braines, Murat Sensoy, Christopher J. Willis, Prudhvi Gurram:
Interpretability of deep learning models: A survey of results. SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2017: 1-6 - [c69]Alistair Nottle, Daniel Harborne, Dave Braines, Moustafa Alzantot, Santiago Quintana-Amate, Richard Tomsett, Lance M. Kaplan, Mani B. Srivastava, Supriyo Chakraborty, Alun D. Preece:
Distributed opportunistic sensing and fusion for traffic congestion detection. SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2017: 1-6 - [c68]Alun D. Preece, Federico Cerutti, Dave Braines, Supriyo Chakraborty, Mani B. Srivastava:
Cognitive computing for coalition situational understanding. SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2017: 1-6 - 2016
- [c67]Alice Toniolo, Alun D. Preece, Will Webberley, Timothy J. Norman, Paul Sullivan, Timothy Dropps:
Conversational intelligence analysis. ICDCN 2016: 42:1-42:6 - 2015
- [j42]Lowri Williams, Christian Bannister, Michael Arribas-Ayllon, Alun D. Preece, Irena Spasic:
The role of idioms in sentiment analysis. Expert Syst. Appl. 42(21): 7375-7385 (2015) - [c66]Christos Parizas, Geeth de Mel, Alun D. Preece, Murat Sensoy, Seraphin B. Calo, Tien Pham:
Interest-Based Negotiation for Policy-Regulated Asset Sharing. COIN@AAMAS/IJCAI 2015: 300-319 - [c65]Dave Braines, John Ibbotson, Darren Shaw, Alun D. Preece:
Building a "living database" for human-machine intelligence analysis. FUSION 2015: 1977-1984 - [c64]Kieran Evans, Andrew Jones, Alun D. Preece, Francisco Quevedo, David Rogers, Irena Spasic, Ian J. Taylor, Vlado Stankovski, Salman Taherizadeh, Jernej Trnkoczy, George Suciu, Victor Suciu, Paul Martin, Junchao Wang, Zhiming Zhao:
Dynamically reconfigurable workflows for time-critical applications. WORKS@SC 2015: 7:1-7:10 - 2014
- [j41]Alun D. Preece, Dave Braines, Diego Pizzocaro, Christos Parizas:
Human-machine conversations to support multi-agency missions. ACM SIGMOBILE Mob. Comput. Commun. Rev. 18(1): 75-84 (2014) - [c63]Dave Braines, Alun D. Preece, Geeth de Mel, Tien Pham:
Enabling CoIST users: D2D at the network edge. FUSION 2014: 1-8 - [c62]Christos Parizas, Diego Pizzocaro, Alun D. Preece, Petros Zerfos:
Sharing smart environment assets in dynamic multi-partner scenarios. NOMS 2014: 1-6 - [c61]Christos Parizas, Diego Pizzocaro, Alun D. Preece, Petros Zerfos:
Sharing policies for multi-partner asset management in smart environments. NOMS 2014: 1-4 - [i3]Alun D. Preece, Christopher Gwilliams, Christos Parizas, Diego Pizzocaro, Jonathan Z. Bakdash, Dave Braines:
Conversational Sensing. CoRR abs/1406.1907 (2014) - 2013
- [j40]Irena Spasic, Robert Mark Greenwood, Alun D. Preece, Nick Francis, Glyn Elwyn:
FlexiTerm: a flexible term recognition method. J. Biomed. Semant. 4: 27 (2013) - [j39]Alun D. Preece, Timothy J. Norman, Geeth de Mel, Diego Pizzocaro, Murat Sensoy, Tien Pham:
Agilely Assigning Sensing Assets to Mission Tasks in a Coalition Context. IEEE Intell. Syst. 28(1): 57-63 (2013) - [c60]Robert Mark Greenwood, Glyn Elwyn, Nick Francis, Alun D. Preece, Irena Spasic:
Automatic Extraction of Personal Experiences from Patients' Blogs: A Case Study in Chronic Obstructive Pulmonary Disease. CGC 2013: 377-382 - [c59]Yin Chen, Paul Martin, Barbara Magagna, Herbert Schentz, Zhiming Zhao, Alex R. Hardisty, Alun D. Preece, Malcolm P. Atkinson, Robert Huber, Yannick Legré:
A Common Reference Model for Environmental Science Research Infrastructures. EnviroInfo 2013: 665-673 - [c58]Nan Hu, Diego Pizzocaro, Matthew P. Johnson, Thomas La Porta, Alun D. Preece:
Resource Allocation with Non-deterministic Demands and Profits. MASS 2013: 145-153 - [c57]Jonathan Z. Bakdash, Diego Pizzocaro, Alun D. Preece:
Human Factors in Intelligence, Surveillance, and Reconnaissance: Gaps for Soldiers and Technology Recommendations. MILCOM 2013: 1900-1905 - [c56]Alun D. Preece, Dave Braines, Diego Pizzocaro, Christos Parizas:
Human-machine conversations to support mission-oriented information provision. MiSeNet@MobiCom 2013: 43-50 - 2012
- [j38]Hmood Al-Dossari, Jianhua Shao, Alun D. Preece:
Improving QoS assessment over multiple attributes with asynchonous data. Comput. Syst. Sci. Eng. 27(2) (2012) - [c55]Alun D. Preece, Diego Pizzocaro, Dave Braines, David H. Mott, Geeth de Mel, Tien Pham:
Integrating hard and soft information sources for D2D using controlled natural language. FUSION 2012: 1330-1337 - [c54]Christopher Gwilliams, Alun D. Preece, Alex R. Hardisty:
Poster: using local and global knowledge in wireless sensor networks. MobiSys 2012: 515-516 - 2011
- [j37]Murat Sensoy, Thao P. Le, Wamberto Weber Vasconcelos, Timothy J. Norman, Alun D. Preece:
Resource Determination and Allocation in Sensor Networks: A Hybrid Approach. Comput. J. 54(3): 356-372 (2011) - [j36]Susan C. Peirce, Alex R. Hardisty, Alun D. Preece, Glyn Elwyn:
Designing and implementing telemonitoring for early detection of deterioration in chronic disease: Defining the requirements. Health Informatics J. 17(3): 173-190 (2011) - [j35]Alex R. Hardisty, Susan C. Peirce, Alun D. Preece, Charlotte E. Bolton, Edward C. Conley, W. Alex Gray, Omer F. Rana, Zaheer Yousef, Glyn Elwyn:
Bridging two translation gaps: A new informatics research agenda for telemonitoring of chronic disease. Int. J. Medical Informatics 80(10): 734-744 (2011) - [c53]Diego Pizzocaro, Alun D. Preece, Fangfei Chen, Tom La Porta, Amotz Bar-Noy:
A distributed architecture for heterogeneous multi sensor-task allocation. DCOSS 2011: 1-8 - [c52]Diego Pizzocaro, Alun D. Preece, Fangfei Chen, Tom La Porta, Amotz Bar-Noy:
Demo: A distributed architecture for heterogeneous multi sensor-task allocation. DCOSS 2011: 1-2 - [c51]Przemyslaw Woznowski, Alun D. Preece:
Rule-Based Semantic Sensing. RuleML America (2) 2011 - [e4]Stefano Bragaglia, Carlos Viegas Damásio, Marco Montali, Alun D. Preece, Charles J. Petrie, Mark Proctor, Umberto Straccia:
Proceedings of the 5th International RuleML2011@BRF Challenge, co-located with the 5th International Rule Symposium, Fort Lauderdale, Florida, USA, November 3-5, 2011. CEUR Workshop Proceedings 799, CEUR-WS.org 2011 [contents] - [i2]Carlos Viegas Damásio, Alun D. Preece, Umberto Straccia:
Proceedings of the Doctoral Consortium and Poster Session of the 5th International Symposium on Rules (RuleML 2011@IJCAI). CoRR abs/1107.1686 (2011) - [i1]