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Author: Alberto Alvarellos González
Publisher: MDPI
ISBN: 3039214438
Category : Computers
Languages : en
Pages : 159
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Book Description
This issue of Proceedings gathers papers presented at XOVETIC2019 (A Coruña, Spain, 5-6 September 2019), a conference with the main goal of bringing together young researchers working in big data, artificial intelligence, Internet of Things, HPC(High-performance computing), cybersecurity, bioinformatics, natural language processing, 5G and others areas from the field of ICT (Information Communications Technology), and offering a platform to present the results of their research to a national audience in Galicia and north of Portugal. This second edition aims to serve as the basis of this event, which will be consolidated over time and acquire international projection. The conference is co-funded by Xunta de Galicia and European Union. European Regional Development Fund (ERDF).
Author: Alberto Alvarellos González
Publisher: MDPI
ISBN: 3039214438
Category : Computers
Languages : en
Pages : 159
Get Book Here
Book Description
This issue of Proceedings gathers papers presented at XOVETIC2019 (A Coruña, Spain, 5-6 September 2019), a conference with the main goal of bringing together young researchers working in big data, artificial intelligence, Internet of Things, HPC(High-performance computing), cybersecurity, bioinformatics, natural language processing, 5G and others areas from the field of ICT (Information Communications Technology), and offering a platform to present the results of their research to a national audience in Galicia and north of Portugal. This second edition aims to serve as the basis of this event, which will be consolidated over time and acquire international projection. The conference is co-funded by Xunta de Galicia and European Union. European Regional Development Fund (ERDF).
Author: Joaquim de Moura
Publisher: Mdpi AG
ISBN: 9783036508566
Category : Technology & Engineering
Languages : en
Pages : 216
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Book Description
This volume of Proceedings gathers papers presented at XOVETIC2020 (A Coruña, Spain, 8-9 October 2020), a conference with the main goal of bringing together young researchers working in big data, artificial intelligence, Internet of Things, HPC (High-performance computing), cybersecurity, bioinformatics, natural language processing, 5G, and other areas from the field of ICT (Information Communications Technology); and offering a platform to present the results of their research to a national audience in Portugal. This third edition aims to serve as the basis of this event, which will be consolidated over time and acquire international projection.
Author: Danilo Tardioli
Publisher: Springer Nature
ISBN: 3031210654
Category : Technology & Engineering
Languages : en
Pages : 616
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Book Description
This book contains a selection of papers accepted for presentation and discussion at ROBOT 2022—Fifth Iberian Robotics Conference, held in Zaragoza, Spain, on November 23-25, 2022. ROBOT 2022 is part of a series of conferences that are a joint organization of SEIDROB—Sociedad Española para la Investigación y Desarrollo en Robótica/Spanish Society for Research and Development in Robotics, and SPR—Sociedade Portuguesa de Robótica/Portuguese Society for Robotic. ROBOT 2022 builds upon several previous successful events, including three biennial workshops and the four previous editions of the Iberian Robotics Conference, and is focused on presenting the research and development of new applications, on the field of Robotics, in the Iberian Peninsula, although open to research and delegates from other countries. ROBOT 2022 featured four plenary talks on state-of-the-art subjects on robotics and 15 special sessions, plus a main/general robotics track. In total, after a careful review process, 98 high-quality papers were selected for publication, with a total of 219 unique authors, from 22 countries.
Author: Orna Braun-Lewensohn
Publisher: MDPI
ISBN: 3039434462
Category : Technology & Engineering
Languages : en
Pages : 226
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Book Description
This volume of Proceedings gathers papers presented at XOVETIC2020 (A Coruña, Spain, 8–9 October 2020), a conference with the main goal of bringing together young researchers working in big data, artificial intelligence, Internet of Things, HPC (High-performance computing), cybersecurity, bioinformatics, natural language processing, 5G, and other areas from the field of ICT (Information Communications Technology); and offering a platform to present the results of their research to a national audience in Portugal. This third edition aims to serve as the basis of this event, which will be consolidated over time and acquire international projection.
Author: Ido Roll
Publisher: Springer Nature
ISBN: 3030782700
Category : Computers
Languages : en
Pages : 536
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Book Description
This two-volume set LNAI 12748 and 12749 constitutes the refereed proceedings of the 22nd International Conference on Artificial Intelligence in Education, AIED 2021, held in Utrecht, The Netherlands, in June 2021.* The 40 full papers presented together with 76 short papers, 2 panels papers, 4 industry papers, 4 doctoral consortium, and 6 workshop papers were carefully reviewed and selected from 209 submissions. The conference provides opportunities for the cross-fertilization of approaches, techniques and ideas from the many fields that comprise AIED, including computer science, cognitive and learning sciences, education, game design, psychology, sociology, linguistics as well as many domain-specific areas. *The conference was held virtually due to the COVID-19 pandemic.
Author: Joaquim de Moura
Publisher: Mdpi AG
ISBN: 9783036524962
Category : Computers
Languages : en
Pages : 258
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Book Description
This volume of Engineering Proceedings gathers papers presented at XOVETIC2021 (A Coruña, Spain, 7-8 October 2021), a conference with the main goal of bringing together young researchers working in big data, artificial intelligence, the Internet of Things, HPC (High-performance computing), cybersecurity, bioinformatics, natural language processing, 5G and others areas from the field of ICT (Information Communications Technology) and offering a platform to present the results of their research to a national audience and Portugal. This fourth edition aims to serve as the basis of this event, which will be consolidated over time and acquire international projection. Financial support from Vice-rectorate for Science Policy, Research and Transfer of Universidade da Coruña and Consellería de Cultura, Educación e Universidade of the Xunta de Galicia (Convenio I+D+i Centro de investigación de Galicia 2019-2022) and the European Union (European Regional Development Fund-ERDF) is gratefully acknowledged.
Author: Ciza Thomas
Publisher: BoD – Books on Demand
ISBN: 1838802398
Category : Computers
Languages : en
Pages : 132
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Book Description
This book on computer security threats explores the computer security threats and includes a broad set of solutions to defend the computer systems from these threats. The book is triggered by the understanding that digitalization and growing dependence on the Internet poses an increased risk of computer security threats in the modern world. The chapters discuss different research frontiers in computer security with algorithms and implementation details for use in the real world. Researchers and practitioners in areas such as statistics, pattern recognition, machine learning, artificial intelligence, deep learning, data mining, data analytics and visualization are contributing to the field of computer security. The intended audience of this book will mainly consist of researchers, research students, practitioners, data analysts, and business professionals who seek information on computer security threats and its defensive measures.
Author: Isabel Castanheira
Publisher: MDPI
ISBN: 3036503684
Category : Science
Languages : en
Pages : 156
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Book Description
The seeds and fruits (or their parts) of Iberoamerican crops have high nutritional and functional properties which could be utilized in a wide range of foods. The crops included in this book are amaranth (Amaranthus spp.), quinoa (Chenopodium quinoa), kañiwa (Chenopodium pallidicaule), chia (Salvia hispanica L.), Andean maize (Zea mays L.), moringa (Moringa oleifera), yvapuru (Plinia peruviana), kurugua (Sicana odorifera), sacha inchi (Plukenetia huayllabambana), camu camu (Myrciaria dubia), mango (Mangifera indica), tarwi (Lupinus mutabilis), peanut (Arachis hypogaea L.) and taro (Colocasia esculenta), all of them still underutilized. Their cultivation is low; nevertheless, in recent years, the worldwide demand for some of them has increased immensely, resulting in an increase in their production. The ancient Iberoamerican crops have been widely recognized for their nutritional value by food scientists and food producers because they contain high-quality proteins and large quantities of micronutrients such as minerals, vitamins and bioactive compounds. In addition, they are gluten-free, which makes them suitable for people suffering from various gluten intolerances. This book summarizes the large amount of investigations in this field in the last year and provides knowledge within all the relevant areas of food science. The editors hope that this book will contribute to an increased use of these products in human nutrition by consumers worldwide.
Author: Cornelis W Oosterlee
Publisher: World Scientific
ISBN: 1786347962
Category : Business & Economics
Languages : en
Pages : 1310
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Book Description
This book discusses the interplay of stochastics (applied probability theory) and numerical analysis in the field of quantitative finance. The stochastic models, numerical valuation techniques, computational aspects, financial products, and risk management applications presented will enable readers to progress in the challenging field of computational finance.When the behavior of financial market participants changes, the corresponding stochastic mathematical models describing the prices may also change. Financial regulation may play a role in such changes too. The book thus presents several models for stock prices, interest rates as well as foreign-exchange rates, with increasing complexity across the chapters. As is said in the industry, 'do not fall in love with your favorite model.' The book covers equity models before moving to short-rate and other interest rate models. We cast these models for interest rate into the Heath-Jarrow-Morton framework, show relations between the different models, and explain a few interest rate products and their pricing.The chapters are accompanied by exercises. Students can access solutions to selected exercises, while complete solutions are made available to instructors. The MATLAB and Python computer codes used for most tables and figures in the book are made available for both print and e-book users. This book will be useful for people working in the financial industry, for those aiming to work there one day, and for anyone interested in quantitative finance. The topics that are discussed are relevant for MSc and PhD students, academic researchers, and for quants in the financial industry.
Author: Robert (Munro) Monarch
Publisher: Simon and Schuster
ISBN: 1638351031
Category : Computers
Languages : en
Pages : 422
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Book Description
Human-in-the-Loop Machine Learning lays out methods for humans and machines to work together effectively. Summary Most machine learning systems that are deployed in the world today learn from human feedback. However, most machine learning courses focus almost exclusively on the algorithms, not the human-computer interaction part of the systems. This can leave a big knowledge gap for data scientists working in real-world machine learning, where data scientists spend more time on data management than on building algorithms. Human-in-the-Loop Machine Learning is a practical guide to optimizing the entire machine learning process, including techniques for annotation, active learning, transfer learning, and using machine learning to optimize every step of the process. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology Machine learning applications perform better with human feedback. Keeping the right people in the loop improves the accuracy of models, reduces errors in data, lowers costs, and helps you ship models faster. About the book Human-in-the-Loop Machine Learning lays out methods for humans and machines to work together effectively. You’ll find best practices on selecting sample data for human feedback, quality control for human annotations, and designing annotation interfaces. You’ll learn to create training data for labeling, object detection, and semantic segmentation, sequence labeling, and more. The book starts with the basics and progresses to advanced techniques like transfer learning and self-supervision within annotation workflows. What's inside Identifying the right training and evaluation data Finding and managing people to annotate data Selecting annotation quality control strategies Designing interfaces to improve accuracy and efficiency About the author Robert (Munro) Monarch is a data scientist and engineer who has built machine learning data for companies such as Apple, Amazon, Google, and IBM. He holds a PhD from Stanford. Robert holds a PhD from Stanford focused on Human-in-the-Loop machine learning for healthcare and disaster response, and is a disaster response professional in addition to being a machine learning professional. A worked example throughout this text is classifying disaster-related messages from real disasters that Robert has helped respond to in the past. Table of Contents PART 1 - FIRST STEPS 1 Introduction to human-in-the-loop machine learning 2 Getting started with human-in-the-loop machine learning PART 2 - ACTIVE LEARNING 3 Uncertainty sampling 4 Diversity sampling 5 Advanced active learning 6 Applying active learning to different machine learning tasks PART 3 - ANNOTATION 7 Working with the people annotating your data 8 Quality control for data annotation 9 Advanced data annotation and augmentation 10 Annotation quality for different machine learning tasks PART 4 - HUMAN–COMPUTER INTERACTION FOR MACHINE LEARNING 11 Interfaces for data annotation 12 Human-in-the-loop machine learning products
