Download or read book Proceedings of the 24th International Conference on World Wide Web written by Aldo Gangemi and published by . This book was released on 2015 with total page 1562 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Proceedings of the 20th International Conference Companion on World Wide Web written by S. Sadagopan and published by . This book was released on 2011 with total page 524 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Proceedings of the 19th International Conference on World Wide Web written by Paul Jones and published by . This book was released on 2010-04-26 with total page 1365 pages. Available in PDF, EPUB and Kindle. Book excerpt: WWW '10: The 19th International World Wide Web Conference Apr 26, 2010-Apr 30, 2010 Raleigh, USA. You can view more information about this proceeding and all of ACMs other published conference proceedings from the ACM Digital Library: http://www.acm.org/dl.
Download or read book Experimental IR Meets Multilinguality Multimodality and Interaction written by K. Selçuk Candan and published by Springer Nature. This book was released on 2021-09-14 with total page 487 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 12th International Conference of the CLEF Association, CLEF 2021, held virtually in September 2021. The conference has a clear focus on experimental information retrieval with special attention to the challenges of multimodality, multilinguality, and interactive search ranging from unstructured to semi structures and structured data. The 11 full papers presented in this volume were carefully reviewed and selected from 21 submissions. This year, the contributions addressed the following challenges: application of neural methods for entity recognition as well as misinformation detection in the health area, skills extraction in job-match databases, stock market prediction using financial news, and extraction of audio features for podcast retrieval. In addition to this, the volume presents 5 “best of the labs” papers which were reviewed as full paper submissions with the same review criteria. 12 lab overview papers were accepted and represent scientific challenges based on new data sets and real world problems in multimodal and multilingual information access.
Download or read book Data and Information in Online Environments written by Edgar Bisset Álvarez and published by Springer Nature. This book was released on 2021-06-14 with total page 479 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed post-conference proceedings of the Second International Conference on Data Information in Online Environments, DIONE 2021, which took place in March 2021. Due to COVID-19 pandemic the conference was held virtually. DIONE 2021 presents theoretical proposals and practical solutions in the treatment, processing and study of data and information produced in online environments, the latest trends in the analysis of network information, media metrics social, data processing technologies and open science. The 40 revised full papers were carefully reviewed and selected from 86 submissions. The papers are grouped in thematical sessions on evaluation of science in social networking environment; scholarly publishing and online communication; and education in online environments.
Download or read book ECAI 2020 written by G. De Giacomo and published by IOS Press. This book was released on 2020-09-11 with total page 3122 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the proceedings of the 24th European Conference on Artificial Intelligence (ECAI 2020), held in Santiago de Compostela, Spain, from 29 August to 8 September 2020. The conference was postponed from June, and much of it conducted online due to the COVID-19 restrictions. The conference is one of the principal occasions for researchers and practitioners of AI to meet and discuss the latest trends and challenges in all fields of AI and to demonstrate innovative applications and uses of advanced AI technology. The book also includes the proceedings of the 10th Conference on Prestigious Applications of Artificial Intelligence (PAIS 2020) held at the same time. A record number of more than 1,700 submissions was received for ECAI 2020, of which 1,443 were reviewed. Of these, 361 full-papers and 36 highlight papers were accepted (an acceptance rate of 25% for full-papers and 45% for highlight papers). The book is divided into three sections: ECAI full papers; ECAI highlight papers; and PAIS papers. The topics of these papers cover all aspects of AI, including Agent-based and Multi-agent Systems; Computational Intelligence; Constraints and Satisfiability; Games and Virtual Environments; Heuristic Search; Human Aspects in AI; Information Retrieval and Filtering; Knowledge Representation and Reasoning; Machine Learning; Multidisciplinary Topics and Applications; Natural Language Processing; Planning and Scheduling; Robotics; Safe, Explainable, and Trustworthy AI; Semantic Technologies; Uncertainty in AI; and Vision. The book will be of interest to all those whose work involves the use of AI technology.
Download or read book Intelligent Environments 2021 written by M. Luštrek and published by IOS Press. This book was released on 2021-07 with total page 284 pages. Available in PDF, EPUB and Kindle. Book excerpt: Intelligent environments (IE) combine physical spaces with ICT and pervasive technology to improve a user’s awareness of their surroundings, empower them to carry out tasks, enrich their experience, and enhance their ability to manage such environments. A growing community, from academia to practitioners, is working to bring intelligent environments to life. This work is driven by the innovative ideas and technological progress that are making the sensors and computing devices required for intelligent environments more affordable and energy-efficient. This book presents papers from Workshops held during the 17th International Conference on Intelligent Environments, IE2021. The conference was due to take place in Dubai, UAE, but was held as a virtual event from 21 to 24 June 2021 due to the restrictions associated with the Covid-19 pandemic. Included here are the proceedings of the 10th International Workshop on the Reliability of Intelligent Environments (WoRIE’21), the 3rd International Workshop on Intelligent Environments and Buildings (IEB’21), the 1st International Workshop on Self-Learning in Intelligent Environments (SeLIE’21), and the 1st International Workshop on Artificial Intelligence and Machine Learning for Emerging Topics (ALLEGET’21). The contributions to these workshops reflect the multi-disciplinary and transversal aspects of intelligent environments, and cover the latest research and development in intelligent environments and related areas, focusing on pushing the boundaries and contributing to the establishment of intelligent environments in the real world. Offering a state-of-the-art overview of current progress, the book will be of particular interest to all those working in the field of intelligent environments.
Download or read book Internet Science written by Svetlana S. Bodrunova and published by Springer. This book was released on 2018-09-25 with total page 313 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the 5th International Conference on Internet Science held in St. Petersburg, Russia, in October 2018. The 23 papers presented were carefully reviewed and selected for inclusion in this volume. They were organized in topical sections named: risks on the Internet: detecting harmful content and discussing regulation; methodologies for studies of online audiences; and online media and public issues.
Download or read book Information Retrieval written by Pavel Braslavski and published by Springer. This book was released on 2016-07-26 with total page 202 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the thoroughly refereed proceedings of the 9th Russian Summer School on Information Retrieval, RuSSIR 2015, held in Saint Petersburg, Russia, in August 2015. The volume includes 5 tutorial papers, summarizing lectures given at the event, and 6 revised papers from the school participants. The papers focus on various aspects of information retrieval.
Download or read book Social Network Computing written by Jiang Wu and published by Springer Nature. This book was released on with total page 643 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Human Centered Computing written by Danijela Milošević and published by Springer Nature. This book was released on 2020-01-20 with total page 729 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes thoroughly reviewed, revised and selected papers from the 5th International Conference on Human Centered Computing, HCC 2019, held in Čačak, Serbia, in August 2019. The 48 full and 23 short papers presented in this volume were carefully reviewed and selected from a total of 133 submissions. The papers focus on deep learning and its applications on a variety of real-life problems, ranging from image/video analysis, to human-computer interaction, and to logistics and supply chain management.
Download or read book Data Driven Mathematical and Statistical Models of Online Social Networks written by Shudong Li and published by Frontiers Media SA. This book was released on 2022-03-07 with total page 194 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Heterogeneous Graph Representation Learning and Applications written by Chuan Shi and published by Springer Nature. This book was released on 2022-01-30 with total page 329 pages. Available in PDF, EPUB and Kindle. Book excerpt: Representation learning in heterogeneous graphs (HG) is intended to provide a meaningful vector representation for each node so as to facilitate downstream applications such as link prediction, personalized recommendation, node classification, etc. This task, however, is challenging not only because of the need to incorporate heterogeneous structural (graph) information consisting of multiple types of node and edge, but also the need to consider heterogeneous attributes or types of content (e.g. text or image) associated with each node. Although considerable advances have been made in homogeneous (and heterogeneous) graph embedding, attributed graph embedding and graph neural networks, few are capable of simultaneously and effectively taking into account heterogeneous structural (graph) information as well as the heterogeneous content information of each node. In this book, we provide a comprehensive survey of current developments in HG representation learning. More importantly, we present the state-of-the-art in this field, including theoretical models and real applications that have been showcased at the top conferences and journals, such as TKDE, KDD, WWW, IJCAI and AAAI. The book has two major objectives: (1) to provide researchers with an understanding of the fundamental issues and a good point of departure for working in this rapidly expanding field, and (2) to present the latest research on applying heterogeneous graphs to model real systems and learning structural features of interaction systems. To the best of our knowledge, it is the first book to summarize the latest developments and present cutting-edge research on heterogeneous graph representation learning. To gain the most from it, readers should have a basic grasp of computer science, data mining and machine learning.
Download or read book Omics Data Integration towards Mining of Phenotype Specific Biomarkers in Cancer Volume II written by Liang Cheng and published by Frontiers Media SA. This book was released on 2022-11-29 with total page 793 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book The Dangerous Art of Text Mining written by Jo Guldi and published by Cambridge University Press. This book was released on 2023-08-31 with total page 497 pages. Available in PDF, EPUB and Kindle. Book excerpt: Shows how text mining - the art of counting words over time - spurs insights into politics, culture, and historical change.
Download or read book Computational Modeling and Data Analysis in COVID 19 Research written by Chhabi Rani Panigrahi and published by CRC Press. This book was released on 2021-05-09 with total page 271 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers recent research on the COVID-19 pandemic. It includes the analysis, implementation, usage, and proposed ideas and models with architecture to handle the COVID-19 outbreak. Using advanced technologies such as artificial intelligence (AI) and machine learning (ML), techniques for data analysis, this book will be helpful to mitigate exposure and ensure public health. We know prevention is better than cure, so by using several ML techniques, researchers can try to predict the disease in its early stage and develop more effective medications and treatments. Computational technologies in areas like AI, ML, Internet of Things (IoT), and drone technologies underlie a range of applications that can be developed and utilized for this purpose. Because in most cases there is no one solution to stop the spreading of pandemic diseases, and the integration of several tools and tactics are needed. Many successful applications of AI, ML, IoT, and drone technologies already exist, including systems that analyze past data to predict and conclude some useful information for controlling the spread of COVID-19 infections using minimum resources. The AI and ML approach can be helpful to design different models to give a predictive solution for mitigating infection and preventing larger outbreaks. This book: Examines the use of artificial intelligence (AI), machine learning (ML), Internet of Things (IoT), and drone technologies as a helpful predictive solution for controlling infection of COVID-19 Covers recent research related to the COVID-19 pandemic and includes the analysis, implementation, usage, and proposed ideas and models with architecture to handle a pandemic outbreak Examines the performance, implementation, architecture, and techniques of different analytical and statistical models related to COVID-19 Includes different case studies on COVID-19 Dr. Chhabi Rani Panigrahi is Assistant Professor in the Department of Computer Science at Rama Devi Women’s University, Bhubaneswar, India. Dr. Bibudhendu Pati is Associate Professor and Head of the Department of Computer Science at Rama Devi Women’s University, Bhubaneswar, India. Dr. Mamata Rath is Assistant Professor in the School of Management (Information Technology) at Birla Global University, Bhubaneswar, India. Prof. Rajkumar Buyya is a Redmond Barry Distinguished Professor and Director of the Cloud Computing and Distributed Systems (CLOUDS) Laboratory at the University of Melbourne, Australia.
Download or read book Deep Learning Applications In Computer Vision Signals And Networks written by Qi Xuan and published by World Scientific. This book was released on 2023-03-21 with total page 309 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book proposes various deep learning models featuring how deep learning algorithms have been applied and used in real-life settings. The complexity of real-world scenarios and constraints imposed by the environment, together with budgetary and resource limitations, have posed great challenges to engineers and developers alike, to come up with solutions to meet these demands. This book presents case studies undertaken by its contributors to overcome these problems. These studies can be used as references for designers when applying deep learning in solving real-world problems in the areas of vision, signals, and networks.The contents of this book are divided into three parts. In the first part, AI vision applications in plant disease diagnostics, PM2.5 concentration estimation, surface defect detection, and ship plate identification, are featured. The second part introduces deep learning applications in signal processing; such as time series classification, broad-learning based signal modulation recognition, and graph neural network (GNN) based modulation recognition. Finally, the last section of the book reports on graph embedding applications and GNN in AI for networks; such as an end-to-end graph embedding method for dispute detection, an autonomous System-GNN architecture to infer the relationship between Apache software, a Ponzi scheme detection framework to identify and detect Ponzi schemes, and a GNN application to predict molecular biological activities.
