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866 results on '"McClean, Sally"'

1. Eye Gaze Analysis Towards an AI System for Dynamic Content Layout

Author

Milliken, Michael, Kharechko, Andriy, Kegel, Ian, Allan, Brahim, Zhang, Shuai, McClean, Sally, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Foresti, Gian Luca, editor, Fusiello, Andrea, editor, and Hancock, Edwin, editor

Published
2024
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2. Profiling Television Watching Behaviour Using Bayesian Hierarchical Joint Models for Time-to-Event and Count Data

Author

Moral, Rafael A., Chen, Zhi, Zhang, Shuai, McClean, Sally, Palma, Gabriel R., Allan, Brahim, and Kegel, Ian

Subjects
Statistics - Methodology, Statistics - Machine Learning, 62F15, 62P99, 62J05
Abstract

Customer churn prediction is a valuable task in many industries. In telecommunications it presents great challenges, given the high dimensionality of the data, and how difficult it is to identify underlying frustration signatures, which may represent an important driver regarding future churn behaviour. Here, we propose a novel Bayesian hierarchical joint model that is able to characterise customer profiles based on how many events take place within different television watching journeys, and how long it takes between events. The model drastically reduces the dimensionality of the data from thousands of observations per customer to 11 customer-level parameter estimates and random effects. We test our methodology using data from 40 BT customers (20 active and 20 who eventually cancelled their subscription) whose TV watching behaviours were recorded from October to December 2019, totalling approximately half a million observations. Employing different machine learning techniques using the parameter estimates and random effects from the Bayesian hierarchical model as features yielded up to 92\% accuracy predicting churn, associated with 100\% true positive rates and false positive rates as low as 14\% on a validation set. Our proposed methodology represents an efficient way of reducing the dimensionality of the data, while at the same time maintaining high descriptive and predictive capabilities. We provide code to implement the Bayesian model at https://github.com/rafamoral/profiling_tv_watching_behaviour., Comment: 10 pages, 5 figures

Published
2022

3. The Empowering Role of Mobile Apps in Behavior Change Interventions: The Gray Matters Randomized Controlled Trial

Author

Hartin, Phillip J, Nugent, Chris D, McClean, Sally I, Cleland, Ian, Tschanz, JoAnn T, Clark, Christine J, and Norton, Maria C

Subjects
Information technology, T58.5-58.64, Public aspects of medicine, RA1-1270
Abstract

BackgroundHealth education and behavior change programs targeting specific risk factors have demonstrated their effectiveness in reducing the development of future diseases. Alzheimer disease (AD) shares many of the same risk factors, most of which can be addressed via behavior change. It is therefore theorized that a behavior change intervention targeting these risk factors would likely result in favorable rates of AD prevention. ObjectiveThe objective of this study was to reduce the future risk of developing AD, while in the short term promoting vascular health, through behavior change. MethodsThe study was an interventional randomized controlled trial consisting of subjects who were randomly assigned into either treatment (n=102) or control group (n=42). Outcome measures included various blood-based biomarkers, anthropometric measures, and behaviors related to AD risk. The treatment group was provided with a bespoke “Gray Matters” mobile phone app designed to encourage and facilitate behavior change. The app presented evidence-based educational material relating to AD risk and prevention strategies, facilitated self-reporting of behaviors across 6 behavioral domains, and presented feedback on the user’s performance, calculated from reported behaviors against recommended guidelines. ResultsThis paper explores the rationale for a mobile phone–led intervention and details the app’s effect on behavior change and subsequent clinical outcomes. Via the app, the average participant submitted 7.3 (SD 3.2) behavioral logs/day (n=122,719). Analysis of these logs against primary outcome measures revealed that participants who improved their high-density lipoprotein cholesterol levels during the study duration answered a statistically significant higher number of questions per day (mean 8.30, SD 2.29) than those with no improvement (mean 6.52, SD 3.612), t97.74=−3.051, P=.003. Participants who decreased their body mass index (BMI) performed significantly better in attaining their recommended daily goals (mean 56.21 SD 30.4%) than those who increased their BMI (mean 40.12 SD 29.1%), t80 = −2.449, P=.017. In total, 69.2% (n=18) of those who achieved a mean performance percentage of 60% or higher, across all domains, reduced their BMI during the study, whereas 60.7% (n=34) who did not, increased their BMI. One-way analysis of variance of systolic blood pressure category changes showed a significant correlation between reported efforts to reduce stress and category change as a whole, P=.035. An exit survey highlighted that respondents (n=83) reported that the app motivated them to perform physical activity (85.4%) and make healthier food choices (87.5%). ConclusionsIn this study, the ubiquitous nature of the mobile phone excelled as a delivery platform for the intervention, enabling the dissemination of educational intervention material while simultaneously monitoring and encouraging positive behavior change, resulting in desirable clinical effects. Sustained effort to maintain the achieved behaviors is expected to mitigate future AD risk. Trial RegistrationClinicalTrails.gov NCT02290912; https://clinicaltrials.gov/ct2/show/NCT02290912 (Archived by WebCite at http://www.webcitation.org/6ictUEwnm)

Published
2016
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8. Gated Task Interaction Framework for Multi-task Sequence Tagging

Author

Ampomah, Isaac K. E., McClean, Sally, Lin, Zhiwei, and Hawe, Glenn

Subjects
Computer Science - Machine Learning, Computer Science - Computation and Language, Statistics - Machine Learning
Abstract

Recent studies have shown that neural models can achieve high performance on several sequence labelling/tagging problems without the explicit use of linguistic features such as part-of-speech (POS) tags. These models are trained only using the character-level and the word embedding vectors as inputs. Others have shown that linguistic features can improve the performance of neural models on tasks such as chunking and named entity recognition (NER). However, the change in performance depends on the degree of semantic relatedness between the linguistic features and the target task; in some instances, linguistic features can have a negative impact on performance. This paper presents an approach to jointly learn these linguistic features along with the target sequence labelling tasks with a new multi-task learning (MTL) framework called Gated Tasks Interaction (GTI) network for solving multiple sequence tagging tasks. The GTI network exploits the relations between the multiple tasks via neural gate modules. These gate modules control the flow of information between the different tasks. Experiments on benchmark datasets for chunking and NER show that our framework outperforms other competitive baselines trained with and without external training resources., Comment: 8 pages

Published
2019

11. Quantifying consensus of rankings based on q-support patterns

Author

Xue, Zhengui, Lin, Zhiwei, Wang, Hui, and McClean, Sally

Subjects
Computer Science - Artificial Intelligence
Abstract

Rankings, representing preferences over a set of candidates, are widely used in many information systems, e.g., group decision making and information retrieval. It is of great importance to evaluate the consensus of the obtained rankings from multiple agents. An overall measure of the consensus degree provides an insight into the ranking data. Moreover, it could provide a quantitative indicator for consensus comparison between groups and further improvement of a ranking system. Existing studies are insufficient in assessing the overall consensus of a ranking set. They did not provide an evaluation of the consensus degree of preference patterns in most rankings. In this paper, a novel consensus quantifying approach, without the need for any correlation or distance functions as in existing studies of consensus, is proposed based on a concept of q-support patterns of rankings. The q-support patterns represent the commonality embedded in a set of rankings. A method for detecting outliers in a set of rankings is naturally derived from the proposed consensus quantifying approach. Experimental studies are conducted to demonstrate the effectiveness of the proposed approach.

Published
2019

13. Estimating Change Intensity and Duration in Human Activity Recognition Using Martingales

Author

Etumusei, Jonathan, Carracedo, Jorge Martinez, McClean, Sally, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Nicosia, Giuseppe, editor, Ojha, Varun, editor, La Malfa, Emanuele, editor, La Malfa, Gabriele, editor, Jansen, Giorgio, editor, Pardalos, Panos M., editor, Giuffrida, Giovanni, editor, and Umeton, Renato, editor

Published
2022
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17. An Event-Level Clustering Framework for Process Mining Using Common Sequential Rules

Author

Tariq, Zeeshan, Charles, Darryl, McClean, Sally, McChesney, Ian, Taylor, Paul, Akan, Ozgur, Editorial Board Member, Bellavista, Paolo, Editorial Board Member, Cao, Jiannong, Editorial Board Member, Coulson, Geoffrey, Editorial Board Member, Dressler, Falko, Editorial Board Member, Ferrari, Domenico, Editorial Board Member, Gerla, Mario, Editorial Board Member, Kobayashi, Hisashi, Editorial Board Member, Palazzo, Sergio, Editorial Board Member, Sahni, Sartaj, Editorial Board Member, Shen, Xuemin (Sherman), Editorial Board Member, Stan, Mircea, Editorial Board Member, Jia, Xiaohua, Editorial Board Member, Zomaya, Albert Y., Editorial Board Member, Miraz, Mahdi H., editor, Southall, Garfield, editor, Ali, Maaruf, editor, Ware, Andrew, editor, and Soomro, Safeeullah, editor

Published
2021
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19. Novel Martingale Approaches for Change Point Detection

Author

Etumusei, Jonathan, Martinez Carracedo, Jorge, McClean, Sally, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Abraham, Ajith, editor, Piuri, Vincenzo, editor, Gandhi, Niketa, editor, Siarry, Patrick, editor, Kaklauskas, Arturas, editor, and Madureira, Ana, editor

Published
2021
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22. Integrating Lean Six Sigma and Discrete-Event Simulation for Shortening the Appointment Lead-Time in Gynecobstetrics Departments: A Case Study

Author

Ortíz-Barrios, Miguel, McClean, Sally, Jiménez-Delgado, Genett, Martínez-Sierra, David Enrique, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, and Duffy, Vincent G., editor

Published
2020
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25. Hybrid Demodulate-Forward Relay Protocol for Two-Way Relay Channels

Author

Luo, Chunbo, Peoples, Cathryn, Parr, Gerard, McClean, Sally, and Wang, Xinheng

Subjects
Computer Science - Information Theory, Computer Science - Networking and Internet Architecture
Abstract

Two-Way Relay Channel (TWRC) plays an important role in relay networks, and efficient relaying protocols are particularly important for this model. {\color{black} However, existing protocols may not be able to realize the potential of TWRC if the two independent fading channels are not carefully handled}. In this paper, a Hybrid DeModulate-Forward (HDMF) protocol is proposed to address such a problem. {\color{black} We first introduce the two basic components of HDMF - direct and differential DMF, and then propose the key decision criterion for HDMF based on the corresponding log-likelihood ratios. We further enhance the protocol so that it can be applied independently from the modulation schemes. Through extensive mathematical analysis, theoretical performance of the proposed protocol is investigated. By comparing with existing protocols, the proposed HDMF has lower error rate. A novel scheduling scheme for the proposed protocol is introduced, which has lower length than the benchmark method. The results also reveal the protocol's potential to improve spectrum efficiency of relay channels with unbalanced bilateral traffic.}, Comment: 12 pages. 12 figures, Accepted by IEEE Transactions on Wireless Communications

Published
2015
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26. Economic Impact of Resource Optimisation in Cloud Environment Using Different Virtual Machine Allocation Policies

Author

Ahmad, Bilal, Maroof, Zaib, McClean, Sally, Charles, Darryl, Parr, Gerard, Akan, Ozgur, Editorial Board Member, Bellavista, Paolo, Editorial Board Member, Cao, Jiannong, Editorial Board Member, Coulson, Geoffrey, Editorial Board Member, Dressler, Falko, Editorial Board Member, Ferrari, Domenico, Editorial Board Member, Gerla, Mario, Editorial Board Member, Kobayashi, Hisashi, Editorial Board Member, Palazzo, Sergio, Editorial Board Member, Sahni, Sartaj, Editorial Board Member, Shen, Xuemin (Sherman), Editorial Board Member, Stan, Mircea, Editorial Board Member, Xiaohua, Jia, Editorial Board Member, Zomaya, Albert Y., Editorial Board Member, Miraz, Mahdi H., editor, Excell, Peter S., editor, Ware, Andrew, editor, Soomro, Safeeullah, editor, and Ali, Maaruf, editor

Published
2019
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28. Contributing Features-Based Schemes for Software Defect Prediction

Author

Ali, Aftab, Abu-Tair, Mamun, Noppen, Joost, McClean, Sally, Lin, Zhiwei, McChesney, Ian, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Bramer, Max, editor, and Petridis, Miltos, editor

Published
2019
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29. A Generic Model for End State Prediction of Business Processes Towards Target Compliance

Author

Khan, Naveed, Ali, Zulfiqar, Ali, Aftab, McClean, Sally, Charles, Darryl, Taylor, Paul, Nauck, Detlef, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Bramer, Max, editor, and Petridis, Miltos, editor

Published
2019
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30. JASs: Joint Attention Strategies for Paraphrase Generation

Author

Ampomah, Isaac K. E., McClean, Sally, Lin, Zhiwei, Hawe, Glenn, Hutchison, David, Editorial Board Member, Kanade, Takeo, Editorial Board Member, Kittler, Josef, Editorial Board Member, Kleinberg, Jon M., Editorial Board Member, Mattern, Friedemann, Editorial Board Member, Mitchell, John C., Editorial Board Member, Naor, Moni, Editorial Board Member, Pandu Rangan, C., Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Terzopoulos, Demetri, Editorial Board Member, Tygar, Doug, Editorial Board Member, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Métais, Elisabeth, editor, Meziane, Farid, editor, Vadera, Sunil, editor, Sugumaran, Vijayan, editor, and Saraee, Mohamad, editor

Published
2019
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31. Discrete-Event Simulation for Performance Evaluation and Improvement of Gynecology Outpatient Departments: A Case Study in the Public Sector

Author

Ortiz-Barrios, Miguel, Lopez-Meza, Pedro, McClean, Sally, Polifroni-Avendaño, Giselle, Hutchison, David, Editorial Board Member, Kanade, Takeo, Editorial Board Member, Kittler, Josef, Editorial Board Member, Kleinberg, Jon M., Editorial Board Member, Mattern, Friedemann, Editorial Board Member, Mitchell, John C., Editorial Board Member, Naor, Moni, Editorial Board Member, Pandu Rangan, C., Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Terzopoulos, Demetri, Editorial Board Member, Tygar, Doug, Editorial Board Member, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, and Duffy, Vincent G., editor

Published
2019
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32. Using Computer Simulation for Reducing the Appointment Lead-Time in a Public Pediatric Outpatient Department

Author

Ortiz-Barrios, Miguel, Jiménez-Delgado, Genett, McClean, Sally, Polifroni-Avendaño, Giselle, Hutchison, David, Editorial Board Member, Kanade, Takeo, Editorial Board Member, Kittler, Josef, Editorial Board Member, Kleinberg, Jon M., Editorial Board Member, Mattern, Friedemann, Editorial Board Member, Mitchell, John C., Editorial Board Member, Naor, Moni, Editorial Board Member, Pandu Rangan, C., Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Terzopoulos, Demetri, Editorial Board Member, Tygar, Doug, Editorial Board Member, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, and Duffy, Vincent G., editor

Published
2019
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34. Adaptive Measurement-Based Policy-Driven QoS Management with Fuzzy-Rule-based Resource Allocation

Author

Yerima, Suleiman Y., Parr, Gerard P., McClean, Sally I., and Morrow, Philip J.

Subjects
Computer Science - Networking and Internet Architecture, Computer Science - Artificial Intelligence
Abstract

Fixed and wireless networks are increasingly converging towards common connectivity with IP-based core networks. Providing effective end-to-end resource and QoS management in such complex heterogeneous converged network scenarios requires unified, adaptive and scalable solutions to integrate and co-ordinate diverse QoS mechanisms of different access technologies with IP-based QoS. Policy-Based Network Management (PBNM) is one approach that could be employed to address this challenge. Hence, a policy-based framework for end-to-end QoS management in converged networks, CNQF (Converged Networks QoS Management Framework) has been proposed within our project. In this paper, the CNQF architecture, a Java implementation of its prototype and experimental validation of key elements are discussed. We then present a fuzzy-based CNQF resource management approach and study the performance of our implementation with real traffic flows on an experimental testbed. The results demonstrate the efficacy of our resource-adaptive approach for practical PBNM systems., Comment: 26 pages, 17 figures

Published
2013
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41. Definition of Strategies for the Reduction of Operational Inefficiencies in a Stroke Unit

Author

Ortiz-Barrios, Miguel, Neira-Rodado, Dionicio, Jiménez-Delgado, Genett, McClean, Sally, Lara, Osvaldo, Hutchison, David, Series Editor, Kanade, Takeo, Series Editor, Kittler, Josef, Series Editor, Kleinberg, Jon M., Series Editor, Mattern, Friedemann, Series Editor, Mitchell, John C., Series Editor, Naor, Moni, Series Editor, Pandu Rangan, C., Series Editor, Steffen, Bernhard, Series Editor, Terzopoulos, Demetri, Series Editor, Tygar, Doug, Series Editor, and Duffy, Vincent G., editor

Published
2018
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42. Abnormality Detection in the Cloud Using Correlated Performance Metrics

Author

McClean, Sally, Khan, Naveed, Currie, Adam, Khan, Kashaf, Hutchison, David, Series Editor, Kanade, Takeo, Series Editor, Kittler, Josef, Series Editor, Kleinberg, Jon M., Series Editor, Mattern, Friedemann, Series Editor, Mitchell, John C., Series Editor, Naor, Moni, Series Editor, Pandu Rangan, C., Series Editor, Steffen, Bernhard, Series Editor, Terzopoulos, Demetri, Series Editor, Tygar, Doug, Series Editor, Weikum, Gerhard, Series Editor, Bramer, Max, editor, and Petridis, Miltos, editor

Published
2018
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46. Discrete-Event Simulation to Reduce Waiting Time in Accident and Emergency Departments: A Case Study in a District General Clinic

Author

Nuñez-Perez, Nixon, Ortíz-Barrios, Miguel, McClean, Sally, Salas-Navarro, Katherinne, Jimenez-Delgado, Genett, Castillo-Zea, Anyeliz, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Ochoa, Sergio F., editor, Singh, Pritpal, editor, and Bravo, José, editor

Published
2017
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47. Tree Similarity Measurement for Classifying Questions by Syntactic Structures

Author

Lin, Zhiwei, Wang, Hui, McClean, Sally, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Huang, De-Shuang, editor, Han, Kyungsook, editor, and Hussain, Abir, editor

Published
2016
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48. Impact of Medical History on Technology Adoption in Utah Population Database

Author

Chaurasia, Priyanka, McClean, Sally I., Nugent, Chris D., Cleland, Ian, Zhang, Shuai, Donnelly, Mark P., Scotney, Bryan W., Sanders, Chelsea, Smith, Ken, Norton, Maria C., Tschanz, JoAnn, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, García, Carmelo R., editor, Caballero-Gil, Pino, editor, Burmester, Mike, editor, and Quesada-Arencibia, Alexis, editor

Published
2016
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49. Reducing Appointment Lead-Time in an Outpatient Department of Gynecology and Obstetrics Through Discrete-Event Simulation: A Case Study

Author

Ortiz, Miguel Angel, McClean, Sally, Nugent, Chris D., Castillo, Anyeliz, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, García, Carmelo R., editor, Caballero-Gil, Pino, editor, Burmester, Mike, editor, and Quesada-Arencibia, Alexis, editor

Published
2016
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50. Change Point Detection Using Multivariate Exponentially Weighted Moving Average (MEWMA) for Optimal Parameter in Online Activity Monitoring

Author

Khan, Naveed, McClean, Sally, Zhang, Shuai, Nugent, Chris, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, García, Carmelo R., editor, Caballero-Gil, Pino, editor, Burmester, Mike, editor, and Quesada-Arencibia, Alexis, editor

Published
2016
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