Explainable AI and Other Applications of Fuzzy Techniques: Proceedings of the 2021 Annual Conference of the North American Fuzzy Information Processin, Rayz Julia, Raskin Victor, Dick Scott
Описание: This book constitutes the proceedings of the 27th International Conference on Information Processing in Medical Imaging, IPMI 2021, which was held online during June 28-30, 2021.
Описание: This book constitutes the refereed proceedings of the 26th International Conference on Applications of Natural Language to Information Systems, NLDB 2021, held online in July 2021. The 19 full papers and 14 short papers were carefully reviewed and selected from 82 submissions.
Автор: Kumar N. Suresh, Sangaiah Arun Kumar, Arun M. Название: Advanced Image Processing Techniques and Applications ISBN: 1522520538 ISBN-13(EAN): 9781522520535 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 42273.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Today, the scope of image processing and recognition has broadened due to the gap in scientific visualization. Thus, new imaging techniques have developed, and it is imperative to study this progression for optimal utilization.The Handbook of Research on Advanced Image Processing Techniques and Applications is an essential reference publication for the latest research on digital image processing advancements. Featuring expansive coverage on a broad range of topics and perspectives, such as image and video steganography, pattern recognition, and artificial vision, this publication is ideally designed for scientists, professionals, researchers, and academicians seeking current research on solutions for new challenges in image processing.
Описание: The two-volume set CCIS 1332 and 1333 constitutes thoroughly refereed contributions presented at the 27th International Conference on Neural Information Processing, ICONIP 2020, held in Bangkok, Thailand, in November 2020.*For ICONIP 2020 a total of 378 papers was carefully reviewed and selected for publication out of 618 submissions.
Описание: The research presented in this book shows how combining deep neural networks with a special class of fuzzy logical rules and multi-criteria decision tools can make deep neural networks more interpretable - and even, in many cases, more efficient.
Описание: The book proposes techniques, with an emphasis on the financial sector, which will make recommendation systems both accurate and explainable. However, in many applications, e.g., medical diagnosis or venture capital investment recommendations, it is essential to explain the rationale behind AI systems decisions or recommendations.
Описание: Design of Explainable Fuzzy Systems (EXFS) is rooted in Interpretable Fuzzy Systems, which are thoroughly covered in the book. Finally, the book shows with practical examples how to design EXFS from interpretable fuzzy systems and natural language generation.
Описание: This book constitutes the refereed proceedings of the 25th International Conference on Applications of Natural Language to Information Systems, NLDB 2020, held in Saarbrucken, Germany, in June 2020.*The 15 full papers and 10 short papers were carefully reviewed and selected from 68 submissions.
Автор: Johnson I. Agbinya Название: Applied Data Analytics - Principles and Applications ISBN: 8770220964 ISBN-13(EAN): 9788770220965 Издательство: Taylor&Francis Рейтинг: Цена: 14851.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The emergence of huge amounts of data which require analysis and in some cases real-time processing has forced exploration into fast algorithms for handling very lage data sizes. Analysis of x-ray images in medical applications, cyber security data, crime data, telecommunications and stock market data, health records and business analytics data are but a few areas of interest. Applications and platforms including R, RapidMiner and Weka provide the basis for analysis, often used by practitioners who pay little to no attention to the underlying mathematics and processes impacting the data. This often leads to an inability to explain results or correct mistakes, or to spot errors.
Applied Data Analytics - Principles and Applications seeks to bridge this missing gap by providing some of the most sought after techniques in big data analytics. Establishing strong foundations in these topics provides practical ease when big data analyses are undertaken using the widely available open source and commercially orientated computation platforms, languages and visualisation systems. The book, when combined with such platforms, provides a complete set of tools required to handle big data and can lead to fast implementations and applications.
The book contains a mixture of machine learning foundations, deep learning, artificial intelligence, statistics and evolutionary learning mathematics written from the usage point of view with rich explanations on what the concepts mean. The author has thus avoided the complexities often associated with these concepts when found in research papers. The tutorial nature of the book and the applications provided are some of the reasons why the book is suitable for undergraduate, postgraduate and big data analytics enthusiasts.
This text should ease the fear of mathematics often associated with practical data analytics and support rapid applications in artificial intelligence, environmental sensor data modelling and analysis, health informatics, business data analytics, data from Internet of Things and deep learning applications.
Описание: Full Papers.- Extraction of Statements in News for a Media Response Analysis.- Sentiment-Based Ranking of Blog Posts Using Rhetorical Structure Theory.- Automatic Detection of Ambiguous Terminology for Software Requirements.- An OpenCCG-Based Approach to Question Generation from Concepts.- A Hybrid Approach for Arabic Diacritization.- EDU-Based Similarity for Paraphrase Identification.- Exploiting Query Logs and Field-Based Models to Address Term Mismatch in an HIV/AIDS FAQ Retrieval System.- Exploring Domain-Sensitive Features for Extractive Summarization in the Medical Domain.- A Corpus-Based Approach for the Induction of Ontology Lexica.- SQUALL: A Controlled Natural Language as Expressive as SPARQL 1.1.- Evaluating Syntactic Sentence Compression for Text Summarisation.- An Unsupervised Aspect Detection Model for Sentiment Analysis of Reviews.- Cross-Lingual Natural Language Querying over the Web of Data.- Extractive Text Summarization: Can We Use the Same Techniques for Any Text?.- Unsupervised Medical Subject Heading Assignment Using Output Label Co-occurrence Statistics and Semantic Predications.- Bayesian Model Averaging and Model Selection for Polarity Classification.- An Approach for Extracting and Disambiguating Arabic Persons' Names Using Clustered Dictionaries and Scored Patterns.- ANEAR: Automatic Named Entity Aliasing Resolution.- Improving Candidate Generation for Entity Linking.- Person Name Recognition Using the Hybrid Approach.- A Broadly Applicable and Flexible Conceptual Metagrammar as a Basic Tool for Developing a Multilingual Semantic Web.- Short Papers.- MOSAIC: A Cohesive Method for Orchestrating Discrete Analytics in a Distributed Model.- Ranking Search Intents Underlying a Query.- Linguistic Sentiment Features for Newspaper Opinion Mining.- Text Classification of Technical Papers Based on Text Segmentation.- Product Features Categorization Using Constrained Spectral Clustering.- A New Approach for Improving Cross-Document Knowledge Discovery Using Wikipedia.- Using Grammar-Profiles to Intrinsically Expose Plagiarism in Text Documents.- Feature Selection Methods in Persian Sentiment Analysis.- Towards the Refinement of the Arabic Soundex.- An RDF-Based Semantic Index.- Experiments in Producing Playful "Explanations" for Given Names (Anthroponyms) in Hebrew and English.- Collaborative Enrichment of Electronic Dictionaries Standardized-LMF.- Enhancing Machine Learning Results for Semantic Relation Extraction.- GenDesc: A Partial Generalization of Linguistic Features for Text Classification.- Entangled Semantics.- Poster Papers.- Phrase Table Combination Deficiency Analyses in Pivot-Based SMT.- Analysing Customers Sentiments: An Approach to Opinion Mining and Classification of Online Hotel Reviews.- An Improved Discriminative Category Matching in Relation Identification.- Extracting Fine-Grained Entities Based on Coordinate Graph.- NLP-Driven Event Semantic Ontology Modeling for Story.- The Development of an Ontology for Reminiscence.- Chinese Sentence Analysis Based on Linguistic Entity-Relationship Model.- A Dependency Graph Isomorphism for News Sentence Searching.- Unsupervised Gazette Creation Using Information Distance.- A Multi-purpose Online Toolset for NLP Applications.- A Test-Bed for Text-to-Speech-Based Pedestrian Navigation Systems.- Automatic Detection of Arabic Causal Relations.- A Framework for Employee Appraisals Based on Inductive Logic Programming and Data Mining Methods.- A Method for Improving Business Intelligence Interpretation through the Use of Semantic Technology.- Code Switch Point Detection in Arabic.- SurveyCoder: A System for Classification of Survey Responses.- Rhetorical Representation and Vector Representation in Summarizing Arabic Text.
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