12,072 Hits in 6.4 sec

Deep Learning-Based Prediction of Paresthesia after Third Molar Extraction: A Preliminary Study

Byung Su Kim, Han Gyeol Yeom, Jong Hyun Lee, Woo Sang Shin, Jong Pil Yun, Seung Hyun Jeong, Jae Hyun Kang, See Woon Kim, Bong Chul Kim
2021 Diagnostics  
The dataset was randomly divided into a training and validation set (n = 150 [50%]), and a test set (n = 150 [50%]). CNNs of SSD300 and ResNet-18 were used for deep learning.  ...  A total of 100 images taken of patients who had paresthesia after tooth extraction were classified as Group 1, and 200 images taken of patients without paresthesia were classified as Group 2.  ...  The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript, or in the decision to publish the results.  ... 
doi:10.3390/diagnostics11091572 pmid:34573914 fatcat:4xseoqwcnjeeha4lm252poyzxa

Lung Segmentation on High-Resolution Computerized Tomography Images Using Deep Learning: A Preliminary Step for Radiomics Studies

Albert Comelli, Claudia Coronnello, Navdeep Dahiya, Viviana Benfante, Stefano Palmucci, Antonio Basile, Carlo Vancheri, Giorgio Russo, Anthony Yezzi, Alessandro Stefano
2020 Journal of Imaging  
The aim of this work is to identify an automatic, accurate, and fast deep learning segmentation approach, applied to the parenchyma, using a very small dataset of high-resolution computed tomography images  ...  In this way, we aim to enhance the methodology performed by healthcare operators in radiomics studies where operator-independent segmentation methods must be used to correctly identify the target and,  ...  Antony Yezzi and Navdeep Dahiya are supported by a grant (W911NF-18-1-0281) from the USA Army Research Office (ARO) to Anthony Yezzi and by a grant (R01-HL-143350) from the National Institute of Health  ... 
doi:10.3390/jimaging6110125 pmid:34460569 pmcid:PMC8321165 fatcat:jqo5orkrizexbf7rdevlpea47e

10. Convict labour in early colonial Northern Nigeria: a preliminary study [chapter]

Mohammed Bashir Salau
2015 From Dust to Digital: Ten Years of the Endangered Archives Programme  
We are very grateful to the Krasnoyarsk Territory Regional Museum for permission to reproduce all the images in this article.  ...  The work on the attributions and the writing of this article was funded by the Economic and Social Research Council (ESRC ES/K006428/1), "Etnos: A Life History of the Etnos Concept Among the Peoples of  ...  This rich cultural heritage is particularly vulnerable to damage, loss and destruction, and requires a variety of approaches for its preservation.  ... 
doi:10.11647/obp.0052.10 fatcat:4uejoyxb25bwlcfaiuuw36yasq

Scenario support for effective requirements

Thomas A. Alspaugh, Annie I. Antón
2008 Information and Software Technology  
The informal nature of scenarios requires that analysts do much manual work with them, and much tedious and detailed effort is needed to make a collection of scenarios well-defined, relatively complete  ...  Scenarios are widely used as requirements, and the quality of requirements is an important factor in the efficiency and success of a development project.  ...  Acknowledgements The authors thank Aldo Dagnino of Asea Brown Boveri, BellSouth Telecommunications, and the anonymous referees of a previous submission of this paper.  ... 
doi:10.1016/j.infsof.2006.12.003 fatcat:tjn6nhf7xnc5znp5o4onfro2za

Stakeholders' social interaction in requirements engineering of open source software

Tanmay Bhowmik
2014 2014 IEEE 22nd International Requirements Engineering Conference (RE)  
particular, requirements identification, creativity in RE, and requirements implementation of OSS systems.  ...  This research enables us to gain valuable insights to generate guidelines for enhancing software engineering practice in relevant areas.  ...  In fact, for CONNECT, we find the number to be zero. 9 Details about the stakeholders who do not appear in structural hole positions in every version is also a subject to further study.  ... 
doi:10.1109/re.2014.6912300 dblp:conf/re/Bhowmik14 fatcat:uqlfwtmmwnfonm22sidbps5nsi

Semantic constraints to represent common sense required in household actions for multi-modal Learning-from-observation robot [article]

Katsushi Ikeuchi, Naoki Wake, Riku Arakawa, Kazuhiro Sasabuchi, Jun Takamatsu
2021 arXiv   pre-print
The paradigm of learning-from-observation (LfO) enables a robot to learn how to perform actions by observing human-demonstrated actions.  ...  Finally, we conduct a preliminary experiment using textual input to explore the possibilities of combining verbal and visual input for recognizing the task groups.  ...  Although several LfD studies have incorporated robots' experiences by applying reinforcement learning as in the work by [16, 17] or meta-learning by [18] , they do not aim to learn semantic constraints  ... 
arXiv:2103.02201v1 fatcat:2fj4hllv3nbhpohp5oaaevtigu

Morphed vertical tailplane assessment for certification requirements

Miguel Angel Castillo-Acero
2015 Zenodo  
The research leading to these results received funding from the European Union's Seventh Framework Programme (FP7/2007(FP7/ -2013  ...  Case study and results The design approach consists in the preliminary design of a short medium range aircraft, in accordance to some defined requirements (see table 1 ).  ...  This activity can be seen as a preliminary study to create an algorithm able to propose alternative routes in case replanning actions would be required.  ... 
doi:10.5281/zenodo.3905083 fatcat:jegirrd5jbgeho7qtr7o3sfzpi

On Parameter Tuning in Meta-learning for Computer Vision [article]

Farid Ghareh Mohammadi, M. Hadi Amini, Hamid R. Arabnia
2020 arXiv   pre-print
In this paper, we investigate mage recognition for unseen categories of a given dataset with limited training information. We deploy a zero-shot learning (ZSL) algorithm to achieve this goal.  ...  Learning to learn plays a pivotal role in meta-learning (MTL) to obtain an optimal learning model.  ...  Algorithm 1 Implementation of optimized zero-shot learning (SAE) [24] Require: A batch set of training input (X , Y ) and training size Ensure: The best mapping matrix (W ) for zero-shot learning 1:  ... 
arXiv:2003.00837v1 fatcat:on7rogajqvd23nxw3d7sntanru

Improving Zero-Shot Cross-Lingual Transfer Learning via Robust Training [article]

Kuan-Hao Huang, Wasi Uddin Ahmad, Nanyun Peng, Kai-Wei Chang
2021 arXiv   pre-print
In this work, we propose a learning strategy for training robust models by drawing connections between adversarial examples and the failure cases of zero-shot cross-lingual transfer.  ...  Especially, learning alignments in the multilingual embedding space usually requires sentence-level or word-level parallel corpora, which are expensive to be obtained for low-resource languages.  ...  This work is supported in part by a Google Research Scholar Award, an Amazon Research Award, and the Intelligence Advanced Research Projects Activity (IARPA) via Contract No. 2019-19051600007.  ... 
arXiv:2104.08645v2 fatcat:qdzq7alqr5farkwuedxhsekf3u

Maps of Lessons Learnt in Requirements Engineering: A Research Preview [chapter]

Ibtehal Noorwali, Nazim H. Madhavji
2013 Lecture Notes in Computer Science  
Such maps would thus be: (a) a driver for research to "light up" the darker areas of RE and (b) a guide for practice to benefit from the brighter areas.  ...  Keywords: lessons learnt in requirements engineering, lesson maps, software engineering, software quality, empirical study. ii I would also like to thank my friends and colleagues: Avi Walia, Quanjun Yin  ...  Acknowledgements First and foremost, my sincere thanks go to Professor Nazim Madhavji for his continuous guidance, supervision, and encouragement during the course of my research.  ... 
doi:10.1007/978-3-642-37422-7_9 fatcat:m67nibzpmna6rmedkg2rmy3zwu

The Time WTO Panels Require to Issue Reports

Henrik Horn
2013 Social Science Research Network  
This is often seen to indicate a more general problem for panels to manage their tasks.  ...  It finds that variables intended to capture quantitative aspects of panel workloads, as well as some complexity aspects, are positively related to the time required.  ...  The purpose of this paper is to take a complementary approach, using the whole body of WTO panel reports from the years 1995-2012, to examine how a number of factors relate to the time required for panels  ... 
doi:10.2139/ssrn.2478594 fatcat:fijkvpqko5aslmax5guzr67ueu

Capturing, eliciting, predicting and prioritizing (CEPP) non-functional requirements metadata during the early stages of agile software development

Richard R. Maiti, Frank J. Mitropoulos
2015 SoutheastCon 2015  
Another goal of this study was to improve the prioritization of NFRs compared to prior studies.  ...  The sub-process of the αβγ-framework was modified in a way that provided a very attractive feature to agile team members.  ...  Acknowledgements The CEP methodology was validated with three case studies using the European Union eProcurement System.  ... 
doi:10.1109/secon.2015.7133007 fatcat:6d7a2ls7t5fnfovuderqreznwe

Improving natural language information extraction from cancer pathology reports using transfer learning and zero-shot string similarity

Briton Park, Nicholas Altieri, John DeNero, Anobel Y Odisho, Bin Yu
2021 JAMIA Open  
Our hierarchical cancer to cancer transfer (HCTC) and zero-shot string similarity (ZSS) methods are designed to exploit shared information between cancers and auxiliary class features, respectively, to  ...  We compare HCTC and ZSS methods to the state-of-the-art including conventional machine learning methods as well as deep learning methods.  ...  All authors were involved in designing and developing the study and writing the paper.  ... 
doi:10.1093/jamiaopen/ooab085 pmid:34604711 pmcid:PMC8484934 fatcat:xb3sfetbvrdpnpssk74citl4ii

Evaluating knowledge transfer and zero-shot learning in a large-scale setting

Marcus Rohrbach, Michael Stark, Bernt Schiele
2011 CVPR 2011  
In a first setting they are directly compared to one-vs-all classification often neglected in KT papers and in a second setting we evaluate their ability to enable zero-shot learning.  ...  While none of the KT methods can improve over one-vs-all classification they prove valuable for zero-shot learning, especially hierarchical and direct similarity based KT.  ...  Large-scale zero-shot recognition In this section, we apply the knowledge transfer approaches of Sec. 2 to a zero-shot recognition setting, in which the sets of object classes of training and test are  ... 
doi:10.1109/cvpr.2011.5995627 dblp:conf/cvpr/RohrbachSS11 fatcat:uc655tnp7bb6jau4bcvdudjgzy

Unsupervised Meta-Learning For Few-Shot Image Classification [article]

Siavash Khodadadeh, Ladislau Bölöni, Mubarak Shah
2019 arXiv   pre-print
Few-shot or one-shot learning of classifiers requires a significant inductive bias towards the type of task to be learned.  ...  Compared to supervised model-agnostic meta-learning approaches, UMTRA trades off some classification accuracy for a reduction in the required labels of several orders of magnitude.  ...  Government is authorized to reproduce and distribute reprints for Governmental purposes notwithstanding any copyright annotation thereon.  ... 
arXiv:1811.11819v2 fatcat:ufsuh3tdozas5nw2vu5crlw2je
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