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Automated Audio Captioning with Epochal Difficult Captions for Curriculum Learning [article]

Andrew Koh, Soham Tiwari, Chng Eng Siong
2022 arXiv   pre-print
In this paper, we propose an algorithm, Epochal Difficult Captions, to supplement the training of any model for the Automated Audio Captioning task.  ...  Epochal Difficult Captions is an elegant evolution to the keyword estimation task that previous work have used to train the encoder of the AAC model.  ...  The model encoder then performs Keyword Estimation to predict a set of keywords, which is then passed to the decoder for generation.  ... 
arXiv:2206.01918v1 fatcat:2ng5hp6xu5asxiutj3ltxto4zq

Mapping the Structure and Evolution of Software Testing Research Over the Past Three Decades [article]

Alireza Salahirad, Gregory Gay, Ehsan Mohammadi
2022 arXiv   pre-print
The field of software testing is growing and rapidly-evolving.  ...  Keywords are clustered based on edge density and frequency of connection.  ...  We grouped keywords if they were used to perform the same activity, were a technology used to perform an activity, were a source of data for an activity, or had some other clear shared purpose.  ... 
arXiv:2109.04086v4 fatcat:l66nc3ggyzd5tltalavtakpyaa

Can We Automate Away the Main Challenges of End-To-End Testing?

Renaud Rwemalika, Marinos Kintis, Mike Papadakis, Yves Le Traon
2018 BElgian-NEtherlands software eVOLution symposium  
Our solutions leverage existing software artifacts, namely the test suite and an automatically-created model of the system under test, to support the evolution of keyword-driven test suites.  ...  These challenges relate to difficulties in the creation of the automated tests, their maintenance and the evolution of the test code base.  ...  End-to-end testing aims at ensuring that the system under test (SUT) is performing as designed from start to finish.  ... 
dblp:conf/benevol/RwemalikaKPT18 fatcat:sx65qqq72fgqhcpmk4vvwkdmtu

AD-MAD: Automated Development and Optimization of Online Advertising Campaigns

Stamatina Thomaidou, Konstantinos Leymonis, Kyriakos Liakopoulos, Michalis Vazirgiannis
2012 2012 IEEE 12th International Conference on Data Mining Workshops  
Assisting or even automating the work of an advertising specialist will have an unrivaled commercial value.  ...  The prototype is experimentally evaluated on real world Google AdWords campaigns and shows a promising behavior with regards to campaign performance statistics outperforming systematically the competitive  ...  ACKNOWLEDGMENT The research of S. Thomaidou is co-financed by the European Union (ESF) and Greek national funds via Program Education and Lifelong Learning of the NSRF -Program: Heracleitus II. Prof.  ... 
doi:10.1109/icdmw.2012.144 dblp:conf/icdm/ThomaidouLLV12 fatcat:jfwsm6zw2ndu7dac6vfrbpiqva

Automating speech reception threshold measurements using automatic speech recognition

Hanne Deprez, Emre Yilmaz, Stefan Lievens, Hugo Van hamme
2013 Workshop on Speech and Language Processing for Assistive Technologies  
Speaker adapted acoustic models improve the performance yielding a keyword detection accuracy of up to 90.7%.  ...  A baseline recognizer using general acoustic models achieves a performance of 88.8% keyword detection rate.  ...  Acknowledgements The authors would like to thank the participants of the recording sessions of the LIST-tests.  ... 
dblp:conf/slpat/DeprezYLh13 fatcat:x5uhbeirqvd5dlpn2m6ewq4vku

Generation of surgical reports using keyword-augmented next sequence prediction

Richard Bieck, Valentina Wildfeuer, Viktor Kunz, Martin Sorge, Markus Pirlich, Max Rockstroh, Thomas Neumuth
2021 Current Directions in Biomedical Engineering  
The trained models reached an accuracy of 0.82 for the next sentence predictions.  ...  The model underperformed for not yet known keyword sequences and shows signs of overfitting when keyword sequences deviate from the baseline of the training set.  ...  Figure 1 : 1 Figure 1: Concept for the automated generation of surgical reports using intraoperatively recorded keywords spoken by the performing surgeon. https://github.com/google/sentencepiece  ... 
doi:10.1515/cdbme-2021-2098 fatcat:267c74bldrhw7b3xeccbaq3wsm

Modelling of an automated manual transmission system

Gianluca Lucente, Marcello Montanari, Carlo Rossi
2007 Mechatronics (Oxford)  
Abstract: To enable a realistic automated manual transmission (AMT) system performance dynamic characteristics of the AMT system are first explored. software skills for modeling and analysis. transmission  ...  Vehicles with automated manual transmissions (AMT) for gear shift control offer many advantages in terms of reduction of fuel consumption. system, the controller is designed by minimizing a quadratic performance  ...  Modelling Of An Automated Manual Transmission System >>>CLICK HERE<<< and real vehicle tests indicate that the system developed achieves preferable engine speed following-up Based on manual transmission  ... 
doi:10.1016/j.mechatronics.2006.11.002 fatcat:uagjtkjma5gldgpts3dyvvqa4y

Reflective writing analytics

Thomas Daniel Ullmann
2017 Proceedings of the Seventh International Learning Analytics & Knowledge Conference on - LAK '17  
This research presents keywords that are specific to several categories of a reflective writing model.  ...  Both performance measures, the accuracy and the Cohen's κ, for these keywords were estimated with ten-fold cross validation.  ...  Such keywords are highly important as they often form the nucleus of automated text analysis systems. This study is based on a comprehensive model of reflective writing [19, 21] .  ... 
doi:10.1145/3027385.3027394 fatcat:jumrd67f5rfvhgt5glxl73muzm

An HMM-Like Dynamic Time Warping Scheme for Automatic Speech Recognition

Ing-Jr Ding, Yen-Ming Hsu
2014 Mathematical Problems in Engineering  
This paper proposed an intelligent speech recognition system using an improved DTW approach for multimedia and home automation services.  ...  with the HMM-like recognition model will have the capability to further perform model adaptation (also known as speaker adaptation).  ...  Conflict of Interests The authors declare that there is no conflict of interests regarding the publication of this paper.  ... 
doi:10.1155/2014/898729 fatcat:77xwhzngj5bp3dhb7lkvlaldau

ASSESSING STUDENT LEARNING WITH AUTOMATED TEXT PROCESSING TECHNIQUES

Yi-fang Brook Wu, Xin Chen
2019 Online Learning  
This paper presents a model for learning assessment using an automated text processing technique to analyze class messages with an emphasis on course topics produced in an online class.  ...  evaluating the performance of students in the class.  ...  ABOUT THE AUTHORS Yi-fang Brook Wu is an Assistant Professor in the Information Systems Department at New Jersey Institute of Technology.  ... 
doi:10.24059/olj.v9i3.1789 fatcat:5t7mywfeyjcqlji3o7vfvzm4ly

Development Status and Hotspot Visualized Analysis of Autonomous Vehicles Based on CiteSpace

Lixin Yan, Tao Zeng, Guangyang Deng, Qiujie Xu, Alessandro Severino
2022 Journal of Advanced Transportation  
, research areas, literature co-citation, keywords, and trends.  ...  This study collects the literature in the field of autonomous driving in the Web of Science core data collection from 2005 to 2020.  ...  Decision planning is a direct manifestation of the intelligence of automated driving systems. e difference between an unmanned driving system and an ADAS system is whether it has automated decision-making  ... 
doi:10.1155/2022/2116814 fatcat:6gkwb7tbljaxhngu7x3xyg2p5m

Yard Operations and Management in Automated Container Terminals: A Review

Hang Yu, Yiyun Deng, Leijie Zhang, Xin Xiao, Caimao Tan
2022 Sustainability  
With the increasing volume of global moving containers and the application of automation technologies, it is important for container terminals to improve handling efficiency.  ...  in automated container terminals for future research.  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/su14063419 doaj:cf8fb11e14b14c4181d1b9254c254ea1 fatcat:53duzmlkurhejjrify4tzbcy34

Model-Based Testing with a General Purpose Keyword-Driven Test Automation Framework

Tuomas Pajunen, Tommi Takala, Mika Katara
2011 2011 IEEE Fourth International Conference on Software Testing, Verification and Validation Workshops  
This paper focuses upon the integration of the TEMA model-based graphical user interface test generator with a keyword-driven test automation framework, Robot Framework.  ...  OperatingSystem Keywords for operating system tasks, such as file system operations and executing commands. Telnet  ...  We appreciate help from Lotta Liikkanen, who conducted the Selenium Library case study, and the rest of the TEMA team. Anonymous reviewers provided helpful comments.  ... 
doi:10.1109/icstw.2011.39 dblp:conf/icst/PajunenTK11 fatcat:izky4zney5blhisvxuvqfgewku

Keyword querying and ranking in databases

Surajit Chaudhuri, Gautam Das
2009 Proceedings of the VLDB Endowment  
Automated Result Ranking: This is the task of automatically determining an order to the result tuples of any SQL query identified in the previous step.  ...  Thus, it is desirable to be able to use the paradigm of keyword querying and automated result ranking over contents of databases.  ... 
doi:10.14778/1687553.1687622 fatcat:t4c2i64dzzbj3cirbybgg65c7q

An Application of Artificial Intelligence Techniques to Automated Key-Wording

James R. Driscoll
1988 Open research Areas in Information Retrieval  
This research and developnent was conducted under contract (N61339*85*0*0024} to the Defense Training and Performance Data Center (TPOC) in support of read iness, exercise, and joint service interoperability  ...  This paper has benefited from the technical direction and assistance of Martin J. Costellic and Paul E. Uanpner of the Collective and Joint Training Division, TPDC.  ...  This work is mentioned as an exairple because i t also reports an experiment (by the American Petroleun In stitu te ) to develop an automated indexing system which models human indexing behavior CBREN84  ... 
dblp:conf/riao/Driscoll88 fatcat:qcp3ybu27ne7lnc36jk2w4fd2m
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