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Author: Sergio Gómez Publisher: PUBLICACIONS UNIVERSITAT ROVIRA I VIRGILI ISBN: 8484244954 Category : Mathematics Languages : en Pages : 68
Book Description
This proceeding book contains the contributions presented at the 3rd URV Doctoral workshop in Computer Science and Mathematics, held in November 2016. The main aim of this workshop is to promote the dissemination of the ideas, methods and results that are developed by the students of our PhD program.
Author: Sergio Gómez Publisher: PUBLICACIONS UNIVERSITAT ROVIRA I VIRGILI ISBN: 8484244954 Category : Mathematics Languages : en Pages : 68
Book Description
This proceeding book contains the contributions presented at the 3rd URV Doctoral workshop in Computer Science and Mathematics, held in November 2016. The main aim of this workshop is to promote the dissemination of the ideas, methods and results that are developed by the students of our PhD program.
Author: Diversos autores Publisher: PUBLICACIONS UNIVERSITAT ROVIRA I VIRGILI ISBN: 8413651476 Category : Mathematics Languages : en Pages : 59
Book Description
This book contains the proceedings of the 8th Doctoral Workshop in Computer Science and Mathematics - DCSM 2023. It was celebrated in Universitat Rovira i Virgili (URV), Campus Sescelades, Tarragona, on May 3, 2023. The aim of this workshop is to promote the dissemination of ideas, methods, and results developed by the students of the PhD program in Computer Science and Mathematics from URV.
Author: Marc Sánchez Artigas Publisher: PUBLICACIONS UNIVERSITAT ROVIRA I VIRGILI ISBN: 8484243990 Category : Languages : en Pages : 84
Book Description
This proceeding book contains the contributions presented at the 2nd URV Doctoral workshop in Computer Science and Mathematics. The main aim of this workshop is to promote the dissemination of the ideas, methods and results that are developed by the students of our PhD program.
Author: Diversos autores Publisher: PUBLICACIONS UNIVERSITAT ROVIRA I VIRGILI ISBN: 841365033X Category : Computers Languages : en Pages : 67
Book Description
This book of proceedings gathers the contributions presented at the 7th URV Doctoral Workshop in Computer Science and Mathematics. The main aim of this workshop is to promote the dissemination of the ideas, methods and results that are developed in the Doctoral Thesis of the students of this doctorate program, and to promote the knowledge sharing, collaboration and discussion between their respective research groups.
Author: M. Villaret Publisher: IOS Press ISBN: 1643682113 Category : Computers Languages : en Pages : 486
Book Description
Artificial intelligence has become an indispensible part of our lives in recent years, affecting all aspects from business and leisure to transport and health care. This book presents the proceedings of the 23rd edition of the International Conference of the Catalan Association for Artificial Intelligence (CCIA), an annual event that serves as a meeting point for researchers in Artificial Intelligence in the area of the Catalan speaking territories and from around the world. The 2021 edition was held online as a virtual conference from 20 - 22 October 2021 due to the COVID-19 pandemic. The book contains 42 long papers and 9 short papers, carefully reviewed and selected. The papers cover all aspects of artificial intelligence and are divided under six section headings: combinatorial problem solving and logics for artificial intelligence; sentiment analysis and tekst analysis; data science and decision support systems; machine learning; computer vision; and explainability and argumentation. Abstracts of the 2 invited talks delivered at the conference by Prof. Patty Kostkova and Prof. João Marques-Silva are also included. Offering a state of the art overview of the subject from a regional perspective, the book will be of interest to all those working in the field of artificial intelligence.
Author: Laure Berti-Équille Publisher: Morgan & Claypool Publishers ISBN: 1627057722 Category : Computers Languages : en Pages : 157
Book Description
In the Web, a massive amount of user-generated contents are available through various channels (e.g., texts, tweets, Web tables, databases, multimedia-sharing platforms, etc.). Conflicting information, rumors, erroneous and fake contents can be easily spread across multiple sources, making it hard to distinguish between what is true and what is not. This monograph gives an overview of fundamental issues and recent contributions for ascertaining the veracity of data in the era of Big Data. The text is organized into six chapters, focusing on structured data extracted from texts. Chapter One introduces the problem of ascertaining the veracity of data in a multi-source and evolving context. Issues related to information extraction are presented in chapter Two. It is followed by practical techniques for evaluating data source reputation and authoritativeness in Chapter Three, including a review of the main models and Bayesian approaches of trust management. Current truth discovery computation algorithms are presented in details in Chapter Four. The theoretical foundations and various approaches for modeling diffusion phenomenon of misinformation spreading in networked systems is studied in Chapter Five. Finally, truth discovery computation from extracted data in a dynamic context of misinformation propagation raises interesting challenges that are explored in Chapter Six. Supplementary material including source codes, datasets, and slides are offered online. This text is intended for a seminar course at the graduate level. It is also to serve as a useful resource for researchers and practitioners who are interested in the study of fact-checking, truth discovery or rumor spreading.
Author: Sergio Consoli Publisher: Springer Nature ISBN: 3030668916 Category : Application software Languages : en Pages : 357
Book Description
This open access book covers the use of data science, including advanced machine learning, big data analytics, Semantic Web technologies, natural language processing, social media analysis, time series analysis, among others, for applications in economics and finance. In addition, it shows some successful applications of advanced data science solutions used to extract new knowledge from data in order to improve economic forecasting models. The book starts with an introduction on the use of data science technologies in economics and finance and is followed by thirteen chapters showing success stories of the application of specific data science methodologies, touching on particular topics related to novel big data sources and technologies for economic analysis (e.g. social media and news); big data models leveraging on supervised/unsupervised (deep) machine learning; natural language processing to build economic and financial indicators; and forecasting and nowcasting of economic variables through time series analysis. This book is relevant to all stakeholders involved in digital and data-intensive research in economics and finance, helping them to understand the main opportunities and challenges, become familiar with the latest methodological findings, and learn how to use and evaluate the performances of novel tools and frameworks. It primarily targets data scientists and business analysts exploiting data science technologies, and it will also be a useful resource to research students in disciplines and courses related to these topics. Overall, readers will learn modern and effective data science solutions to create tangible innovations for economic and financial applications.
Author: Filippo Menczer Publisher: Cambridge University Press ISBN: 1108579612 Category : Science Languages : en Pages : 275
Book Description
Networks are everywhere: networks of friends, transportation networks and the Web. Neurons in our brains and proteins within our bodies form networks that determine our intelligence and survival. This modern, accessible textbook introduces the basics of network science for a wide range of job sectors from management to marketing, from biology to engineering, and from neuroscience to the social sciences. Students will develop important, practical skills and learn to write code for using networks in their areas of interest - even as they are just learning to program with Python. Extensive sets of tutorials and homework problems provide plenty of hands-on practice and longer programming tutorials online further enhance students' programming skills. This intuitive and direct approach makes the book ideal for a first course, aimed at a wide audience without a strong background in mathematics or computing but with a desire to learn the fundamentals and applications of network science.
Author: Sergio Gómez
Author: Sergio Gómez
Author: Diversos autores
Author: Marc Sánchez Artigas
Author: Diversos autores
Author: M. Villaret
Author: Laure Berti-Équille
Author: Gerard de Vaucouleurs
Author: M.S. Moonen
Author: Sergio Consoli
Author: Filippo Menczer