Filters








500 Hits in 5.1 sec

A Data-driven Method for the Detection of Close Submitters in Online Learning Environments

José A. Ruipérez-Valiente, Srecko Joksimović, Vitomir Kovanović, Dragan Gašević, Pedro J. Muñoz-Merino, Carlos Delgado Kloos
2017 Proceedings of the 26th International Conference on World Wide Web Companion - WWW '17 Companion  
In this study, we focus on the direction of detecting 'invisible' collaboration ties between students in online learning environments.  ...  The paper reports on findings of a study that made use of the proposed method to investigate the presence of close submitters in two different massive open online courses.  ...  Moreover, an in-depth analysis of the couples and communities detected is necessary to characterize possible differences in links between close submitters -e.g., academically dishonest collaborations,  ... 
doi:10.1145/3041021.3054161 dblp:conf/www/ValienteJKGMK17 fatcat:ggzapp2alzhjzofgylheljqeyi

Identifying and characterizing students suspected of academic dishonesty in SPOCs for credit through learning analytics

Daniel Jaramillo-Morillo, José Ruipérez-Valiente, Mario F. Sarasty, Gustavo Ramírez-Gonzalez
2020 International Journal of Educational Technology in Higher Education  
We have developed a learning analytics algorithm to detect dishonest students based on submission time and exam responses providing as output a number of indicators that can be easily used to identify  ...  With MOOC-based degrees and SPOCs for credit becoming the norm in distance learning, we believe that if this issue is not tackled properly, it might endanger the future of the reliability and value of  ...  This publication reflects the views only of the authors, and the Commissionand the Agency cannot be held responsible for any use which may be made of the information contained therein.  ... 
doi:10.1186/s41239-020-00221-2 fatcat:u2oqi7eb7rgsvpxwarpm5nnire

MLPerf Inference Benchmark [article]

Vijay Janapa Reddi, Christine Cheng, David Kanter, Peter Mattson, Guenther Schmuelling, Carole-Jean Wu, Brian Anderson, Maximilien Breughe, Mark Charlebois, William Chou, Ramesh Chukka, Cody Coleman (+35 others)
2020 arXiv   pre-print
In this paper, we present our benchmarking method for evaluating ML inference systems.  ...  Machine-learning (ML) hardware and software system demand is burgeoning. Driven by ML applications, the number of different ML inference systems has exploded.  ...  In this section, we acknowledge all those who helped produce the first set of results or supported the overall benchmark development.  ... 
arXiv:1911.02549v2 fatcat:jewandlmivctjb7wywadxuuqju

MLPerf Training Benchmark [article]

Peter Mattson, Christine Cheng, Cody Coleman, Greg Diamos, Paulius Micikevicius, David Patterson, Hanlin Tang, Gu-Yeon Wei, Peter Bailis, Victor Bittorf, David Brooks, Dehao Chen (+24 others)
2020 arXiv   pre-print
Machine learning (ML) needs industry-standard performance benchmarks to support design and competitive evaluation of the many emerging software and hardware solutions for ML.  ...  Our analysis quantitatively evaluates MLPerf's efficacy at driving performance and scalability improvements across two rounds of results from multiple vendors.  ...  ACKNOWLEDGEMENTS In this section, we acknowledge all those who helped produce the first set of results or supported the overall benchmark development.  ... 
arXiv:1910.01500v3 fatcat:ciwfjyu3x5crrm2fy2275g3wiy

Defending Our Public Biological Databases as a Global Critical Infrastructure

Jacob Caswell, Jason D. Gans, Nicholas Generous, Corey M. Hudson, Eric Merkley, Curtis Johnson, Christopher Oehmen, Kristin Omberg, Emilie Purvine, Karen Taylor, Christina L. Ting, Murray Wolinsky (+1 others)
2019 Frontiers in Bioengineering and Biotechnology  
Progress in modern biology is being driven, in part, by the large amounts of freely available data in public resources such as the International Nucleotide Sequence Database Collaboration (INSDC), the  ...  unintentional errors, and offers recommendations for risk mitigation based on lessons learned from cybersecurity.  ...  A goal of the authors is to illuminate these concerns for a wide audience in the context of the historical lessons learned in cyberspace.  ... 
doi:10.3389/fbioe.2019.00058 pmid:31024904 pmcid:PMC6460893 fatcat:o6zrn7iep5foxll3hto5ktqkha

An Adapted Model of Cognitive Digital Twins for Building Lifecycle Management

Ibrahim Yitmen, Sepehr Alizadehsalehi, İlknur Akıner, Muhammed Ernur Akıner
2021 Applied Sciences  
Nevertheless, there is a lack of understanding of the real impact of CDT integration, Machine Learning (ML), Cyber-Physical Systems (CPS), Big Data, Artificial Intelligence (AI), and Internet of Things  ...  This study investigates the applicability, interoperability, and integrability of an adapted model of CDT for BLM to identify and close this gap.  ...  Acknowledgments: The authors would like to thank all the survey respondents in the AEC industry. Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/app11094276 fatcat:avozzhpg7za27poishrq4iqyxa

IBM's Health Analytics and Clinical Decision Support

M. S. Kohn, J. Sun, S. Knoop, A. Shabo, B. Carmeli, D. Sow, T. Syed-Mahmood, W. Rapp
2014 IMIA Yearbook of Medical Informatics  
Methods: Some problems in healthcare and strategies for change are described.  ...  There is a compelling need to manage and use big data to make better decisions to support the transformation of healthcare to the personalized, evidence-supported model of the future.  ...  We have shown that computer resources have been or are being developed to use the different kinds of healthcare information, big data, more effectively.  ... 
doi:10.15265/iy-2014-0002 pmid:25123736 pmcid:PMC4287097 fatcat:5gnwywsk7bgnhltc6mim73tuui

Abstracts: 23rd Annual RIMS Conference 2018

2018 Multiple Sclerosis  
The surveying team stated to have seen an organization working together around a patient as one. The external accreditation was a learning moment for the organization.  ...  Methods: A mixed method approach was used to explore circumstances of falls of 18 full-time wheelchair users with MS.  ...  Acknowledgements The survey was supported by a RIMS grant 2012 and unrestricted educational grant from Novartis Pharma AG to RIMS, 260388/ SVV/2017 and Progres Q35.  ... 
doi:10.1177/1352458518771862 pmid:29790435 fatcat:kzlnivlhgrdfporx7bflirtclu

Twelve principles for open innovation 2.0

Martin Curley
2016 Nature  
Evolve governance structures, practices and metrics to accelerate innovation in an era of digital connectivity, writes Martin Curley.  ...  For example in health care, wirelessly transmitting information from electrocardiograms (a heart-activity test), and using cloudbased analytics, could detect the early onset of conditions such as cardiac  ...  They shorten learning times and improve the results and pace of innovation.  ... 
doi:10.1038/533314a pmid:27193662 fatcat:eyezi7xmkvew7nyb5jciydspya

Designing EthAKUL: a mobile just-in-time learning environment for bioethics in Pakistan

Azra Naseem, Kulsoom Ghias, Sohail Bawani, Mohammad Ali Shahab, Sameer Nizamuddin, Waqar Kashif, Kausar S Khan, Tashfeen Ahmad, Murad Khan
2019 SOTL in the south  
Designing EthAKUL: a mobile just-in-time learning environment for bioethics in Pakistan. Scholarship of Teaching and Learning in the South. v. 3, n. 1, p. 36-56, Apr. 2019.  ...  These data sets were analyzed and synthesized into functional and technical specifications for the mobile app.  ...  SOTL in the  ... 
doi:10.36615/sotls.v3i1.70 fatcat:zfd2jfgyo5fzndg2l77y76fii4

Automated Dynamic Resource Provisioning and Monitoring in Virtualized Large-Scale Datacenter

Sameera Abar, Pierre Lemarinier, Georgios K. Theodoropoulos, Gregory M.P. OHare
2014 2014 IEEE 28th International Conference on Advanced Information Networking and Applications  
test in a closed feedback control loop.  ...  Machine provisioning is a central function in cloud-oriented environments, that is, the physical machines are brought online and new virtual machines are created on a very regular basis.  ...  Runtime error information is matched with a predefined string or precondition. and an event is generated SimInvoke-Ag Linux-based Shell script NovaBoot.sh Clearing cache of inactive and delayed  ... 
doi:10.1109/aina.2014.117 dblp:conf/aina/AbarLTO14 fatcat:i6zfmjfmuzaq7fipcy3lan3aoa

Using Genomics to Track Global Antimicrobial Resistance

Rene S. Hendriksen, Valeria Bortolaia, Heather Tate, Gregory H. Tyson, Frank M. Aarestrup, Patrick F. McDermott
2019 Frontiers in Public Health  
As a consequence, each tool has strengths and limitations in sensitivity and specificity of detection of AMR determinants and in application, which for some of the tools have been highlighted in benchmarking  ...  The advancement in whole genome sequencing and the application of online tools for real-time detection of AMR determinants are essential to identify control and prevention strategies to combat the increasing  ...  In principle, in silico AMR detection is performed by using a search algorithm to query input DNA or amino acid sequence data for the presence of a pre-determined set of AMR determinants contained in AMR  ... 
doi:10.3389/fpubh.2019.00242 pmid:31552211 pmcid:PMC6737581 fatcat:opk2dnbgxbcancw4n6tgkuroc4

Knowledge Integration to Support Networking for Laboratory Preparedness and Response to Emerging Pathogens [chapter]

Shamir N., Lai King, Theodore I., May Chu
2012 New Research on Knowledge Management Technology  
the laboratory technical advisers of their experience in managing global laboratory networks.  ...  The authors are grateful to the World Health Organization for supporting developing the GLaD conceptual ideas under the International Health Regulations Coordination Office, Geneva, Switzerland and to  ...  component will utilize some of the above-mentioned principles and lessons learned in developing a novel closed social network for laboratory professionals to facilitate global collaboration and consultation  ... 
doi:10.5772/33113 fatcat:ouglkqv42bezpnhnclbtxtjgxq

Driver perceptions and sources of user dissatisfaction in the implementation of variable speed limit systems

Suzanna Long, Lance Gentry, Ghulam H. Bham
2012 Transport Policy  
Lack of success is often linked to 41 failures in understanding the change environment or failure to account for human factors in the 42 implementation of a new technology.  ...  95 traffic conditions as part of the pre-planning efforts for the deployment of a VSL system.  ...  The research design for this study followed a mixed methods approach (19, 20) and builds on the 199 similarities of quantitative and qualitative data analysis.  ... 
doi:10.1016/j.tranpol.2012.05.007 fatcat:kjq5hilfcbfhnfhqwkumfinfp4

Online data collection with special populations over the World Wide Web

Michael Marcell, Amanda Falls
2001 Down Syndrome Research and Practice  
The quick ascendance of the World Wide Web as the dominant vehicle for Internet communication has recently made experimentation in a multimedia environment feasible on the Internet.  ...  Although web sites containing online psychology demonstrations and experiments for non-handicapped individuals have appeared in recent years (especially in the areas of cognitive and social psychology)  ...  We are indebted to Professors Ken McGraw and Mark Tew of the University of Mississippi for creating PsychExperiments, an excellent model of online psychological research, for offering training in the use  ... 
doi:10.3104/reports.120 fatcat:uarbmzkbyrc2la36oto3gfezxq
« Previous Showing results 1 — 15 out of 500 results