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The automated function prediction SIG looks back at 2013 and prepares for 2014

M. N. Wass, S. D. Mooney, M. Linial, P. Radivojac, I. Friedberg
2014 Bioinformatics  
The authors are also grateful for the ongoing guidance of the members of the CAFA steering committee: Patricia Babbitt, Steven Brenner, Christine Orengo and Burkhard Rost.  ...  Special thanks to Steven Leard for extraordinary support and professionalism.  ...  DISCUSSIONS IN AUTOMATED FUNCTION PREDICTION 2013 Automated Function Prediction (AFP) 2013 consisted of a series of invited talks and competitively selected presentations and posters from extended abstracts  ... 
doi:10.1093/bioinformatics/btu117 pmid:24590444 pmcid:PMC4080736 fatcat:te6jc35ozjfdpn5wfrzk4cle6y

Towards Effective Mitigation of the Digital Transformation and COVID-19 Risk on Unemployment in Mobile Operators in Egypt

Ashraf Elsafty, Ahmed Elzeftawy
2022 International Journal of Business and Management  
Other tasks also defined by Katharina Dengler, Britta Matthes and Wiebke Paulus, 2014 in which they use the assignment of activities explained by Alexandra Spitz-Oener for non-automatable tasks and categorize  ...  To mitigate the Risk of Automation and AI, there is a need for Upskilling and Reskilling the current workforce to perform the un-automatable tasks, created from the development of new products and services  ...  Accordingly, it is difficult to predict how the products and the solutions will look like in the future.  ... 
doi:10.5539/ijbm.v17n2p123 fatcat:ywtjznkkfbec7pxjy2iaitrxya

The changing technological environment and the future of behavioural research in accounting

Vicky Arnold
2016 Accounting and Finance  
I would like to thank Steve Sutton for his invaluable help in preparing both the plenary speech and writing this article. © 2016 AFAANZ Accounting and Finance 58 (2018) 315-339  ...  assurers of accounting information, and for providing ex ante enlightenment for policy-makers.  ...  and largely been automated (Beaubien, 2013) .  ... 
doi:10.1111/acfi.12218 fatcat:gjnzajnaevbshmwabkbym6pzbe

People Analytics and Performance of Deposit-Taking Micro Finance Institutions in Nyeri County, Kenya

Anne Wambui Muriithi, Paul Waithaka
2019 International Journal of Current Aspects  
A closer look at the operations of many deposit taking micro-finance institutions reveals that they all face challenges related to human resources management.  ...  Tables and graphs were used for data presentation. Results showed that the micro finance institutions had established infrastructure for the application of technology.  ...  There is much room for improvement (Cascio & Boudreau, 2014) . A closer look at the operations of many DTMs reveals that they all face challenges related to human resources management.  ... 
doi:10.35942/ijcab.v3iv.70 fatcat:jixlzp6z2bckpltvhgpudvorny

vtreat: a data.frame Processor for Predictive Modeling

Nina Zumel, John Mount
2016 Zenodo  
We look at common problems found in data that is used for predictive modeling tasks, and describe how to address them with the vtreat R package. vtreat prepares real-world data for predictive modeling  ...  We describe the theory of preparing variables so that data has fewer exceptional cases, making it easier to safely use models in production.  ...  on the principles of data preparation for predictive modeling can be found in Zumel and Mount (2014) and Zumel (2016a) .  ... 
doi:10.5281/zenodo.3265462 fatcat:2yjfdaqnj5f27gsy7iilqjeu4i

APLICABILIDADE DE MODELOS DE TOMADA DE DECISÃO DE RISCO PARA ENTENDER O COMPORTAMENTO DE MOTRISTAS DURANTE RETOMADAS DE CONTROLE EM AUTOMAÇÃO VEICULAR

Rafael Cirino Gonçalves, Tyron L. Louw, Gustav Markkula, Natasha Merat
2020 Revista ErgodesignHCI  
O artigo se foca na relação entre o conceito de "Out of the Loop" e consciência da situação. Uma discussão metodológica é feita, e suas implicaçóes para o design de produtos é apresentada.  ...  These challenges highlight an old irony of automation, where the more reliable the automation, the less prepared the human is to react in a time of need (Bainbridge, 1985) .  ...  acquire enough SA to take back control of the vehicle.  ... 
doi:10.22570/ergodesignhci.v7iespecial.1304 fatcat:77cgfq2gs5a7ppgx6igh3mt2iq

vtreat: a data.frame Processor for Predictive Modeling [article]

Nina Zumel, John Mount
2019 arXiv   pre-print
We look at common problems found in data that is used for predictive modeling tasks, and describe how to address them with the vtreat R package. vtreat prepares real-world data for predictive modeling  ...  We describe the theory of preparing variables so that data has fewer exceptional cases, making it easier to safely use models in production.  ...  for predictive modeling can be found in Zumel and Mount (2014) and Zumel (2016a) . atic types (NaN, Inf).  ... 
arXiv:1611.09477v9 fatcat:el4hpmhxerdcppsgfo364pkhzi

Dear Computer on My Desk, Which Candidate Fits Best? An Assessment of Candidates' Perception of Assessment Quality When Using AI in Personnel Selection

Jessica Schick, Sebastian Fischer
2021 Frontiers in Psychology  
We also found interactive relationships of all three dimensions for the assessment of motivation.  ...  By investigating the effects of the dimensions of AI complexity, intangibility, and reliability on the perceived quality of assessment of potential candidates, we found that AI complexity and intangibility  ...  Looking back on the post hoc test, no significant difference between the factor levels can be demonstrated, concluding that Hypothesis 3 is rejected.  ... 
doi:10.3389/fpsyg.2021.739711 pmid:34777128 pmcid:PMC8581759 fatcat:hflkjsfr3zfxbjklhrnqx25nee

Vtreat: A Data.Frame Processor For Predictive Modeling

Nina Zumel, John Mount
2016 Zenodo  
We look at common problems found in data that is used for predictive modeling tasks, and describe how to address them with the vtreat R package. vtreat prepares real-world data for predictive modeling  ...  We describe the theory of preparing variables so that data has fewer exceptional cases, making it easier to safely use models in production.  ...  on the principles of data preparation for predictive modeling can be found in Zumel and Mount (2014) and Zumel (2016a) .  ... 
doi:10.5281/zenodo.1173314 fatcat:ck5m5wtx2rc3vkudxuutviuzxq

What do my Students Think of my Way of Teaching? An Approach in a Developing Country

Jesús Gabalán-Coello, Fredy Eduardo Vásquez-Rizo, Michel Laurier
2019 Saber ciencia y libertad  
This intends to conclude on the incidence of particular satisfaction in teacher performance variables regarding overall satisfaction, seen at both disciplinary and institutional levels.  ...  community are: compliance, commitment, ownership, methodology, evaluation and relationships interpersonal.  ...  , 2013, and 2014) .  ... 
doi:10.18041/2382-3240/saber.2019v14n2.5888 fatcat:2fpxhuf6bvgctjm7yrdce2escy

Network Issue Agendas on Twitter During the 2012 U.S. Presidential Election

Chris J. Vargo, Lei Guo, Maxwell McCombs, Donald L. Shaw
2014 Journal of Communication  
We have arrived at these conclusions by utilizing several computer science methods, including automated data mining and aggregation, sentiment analysis, network analysis, machine learning, and computer-assisted  ...  Evidence for findings are provided through the NAS model, which measures the agenda-setting effect not in terms of issue frequency alone, but also in terms of the interconnections and relationships issues  ...  The trained model then looks for the same features in new texts to predict their polarity (Pak & Paroubek, 2010; Pang, Lee, & Vaithyanathan, 2002) .  ... 
doi:10.1111/jcom.12089 fatcat:murua6cjmnf4nbwimmelmyyoee

Investigating the Correlation Between Students' Reading Fluency and Comprehension

Tadiwos Hambamo Makebo, Mebratu Mulatu Bachore, Zeleke Arficho Ayele
2022 Journal of Language Teaching and Research  
The purpose of this research was to investigate the relationship between students' reading fluency and comprehension. It is a correlational design.  ...  In addition, the linear regression outputs confirmed that the higher the students' reading rate and accuracy level, the higher their reading comprehension (Beta = 0.42, t = 4.53, p < 0.05).  ...  The researchers informed the students to be ready to read from the screen at a given time, and they answered the multiple-choice questions without looking back at the screen.  ... 
doi:10.17507/jltr.1302.02 fatcat:bfs23pvhj5bk7f6pkcb3mrzwqm

Effect of Ease of Use and Fallibility of Biometric Fingerprint Technology in Criminal Identification in Kenya

Monica Mwashumbe Tangai, Joyce Kaguta
2019 International Journal of Academic Research in Business and Social Sciences  
The study targeted140 fingerprint officers working at the National Registration Bureau at the Huduma Centers, National Registration Bureau headquarters, and Langata, Kariakor, Pumwani and Makadara stations  ...  The specific objectives for the study were toassess the effect of Ease of use and fallibility of biometric fingerprint technology on Criminal Identification in Kenya.  ...  can unfavorably influence the collected sample from every person resulting in biometric fingerprint failure, Bustard et al (2013) looked at the effect of targeted impersonation as an instrument for  ... 
doi:10.6007/ijarbss/v9-i3/5750 fatcat:cp4qq2ehdjhzbdgyzm35deemd4

The Impact of Social Influence, Technophobia, and Perceived Safety on Autonomous Vehicle Technology Adoption

Sahil Koul, Ali Eydgahi
2019 Periodica Polytechnica Transportation Engineering  
An online survey was the primary method of data collection. Pearson's correlation and multiple linear regression were used for data analysis.  ...  and the intention to use autonomous vehicles.  ...  Moreover, official planners are closely observing research on autonomous vehicles (AV), and they are keenly looking to comprehend and prepare for future impacts (Guerra, 2016) .  ... 
doi:10.3311/pptr.11332 fatcat:fm7e7kleprb6po77nw4mlio7dm

vtreat: a data.frame Processor for Predictive Modeling

Nina Zumel, John Mount
2016 Zenodo  
We look at common problems found in data that is used for predictive modeling tasks, and describe how to address them with the vtreat R package. vtreat prepares real-world data for predictive modeling  ...  We describe the theory of preparing variables so that data has fewer exceptional cases, making it easier to safely use models in production.  ...  for predictive modeling can be found in Zumel and Mount (2014) and Zumel (2016a) . atic types (NaN, Inf).  ... 
doi:10.5281/zenodo.1173313 fatcat:4l53vxafczafrdhesyeqthvu6q
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