Machine Learning and Python for Human Behavior, Emotion, and Health Status Analysis

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Publisher : CRC Press
ISBN 13 : 1040105467
Total Pages : 264 pages
Book Rating : 4.0/5 (41 download)

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Book Synopsis Machine Learning and Python for Human Behavior, Emotion, and Health Status Analysis by : Md Zia Uddin

Download or read book Machine Learning and Python for Human Behavior, Emotion, and Health Status Analysis written by Md Zia Uddin and published by CRC Press. This book was released on 2024-08-30 with total page 264 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a practical guide for individuals interested in exploring and implementing smart home applications using Python. Comprising six chapters enriched with hands-on codes, it seamlessly navigates from foundational concepts to cutting-edge technologies, balancing theoretical insights and practical coding experiences. In short, it is a gateway to the dynamic intersection of Python programming, smart home technology, and advanced machine learning applications, making it an invaluable resource for those eager to explore this rapidly growing field. Key Features: Throughout the book, practicality takes precedence, with hands-on coding examples accompanying each concept to facilitate an interactive learning journey Striking a harmonious balance between theoretical foundations and practical coding, the book caters to a diverse audience, including smart home enthusiasts and researchers The content prioritizes real-world applications, ensuring readers can immediately apply the knowledge gained to enhance smart home functionalities Covering Python basics, feature extraction, deep learning, and XAI, the book provides a comprehensive guide, offering an overall understanding of smart home applications

Using Machine Learning to Detect Emotions and Predict Human Psychology

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Publisher : IGI Global
ISBN 13 :
Total Pages : 332 pages
Book Rating : 4.3/5 (693 download)

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Book Synopsis Using Machine Learning to Detect Emotions and Predict Human Psychology by : Rai, Mritunjay

Download or read book Using Machine Learning to Detect Emotions and Predict Human Psychology written by Rai, Mritunjay and published by IGI Global. This book was released on 2024-02-26 with total page 332 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the realm of analyzing human emotions through Artificial Intelligence (AI), a myriad of challenges persist. From the intricate nuances of emotional subtleties to the broader concerns of ethical considerations, privacy implications, and the ongoing battle against bias, AI faces a complex landscape when venturing into the understanding of human emotions. These challenges underscore the intricate balance required to navigate the human psyche with accuracy. The book, Using Machine Learning to Detect Emotions and Predict Human Psychology, serves as a guide for innovative solutions in the field of emotion detection through AI. It explores facial expression analysis, where AI decodes real-time emotions through subtle cues such as eyebrow movements and micro-expressions. In speech and voice analysis, the book unveils how AI processes vocal nuances to discern emotions, considering elements like tone, pitch, and language intricacies. Additionally, the power of text analysis is of great importance, revealing how AI extracts emotional tones from diverse textual communications. By weaving these systems together, the book offers a holistic solution to the challenges faced by AI in understanding the complex landscape of human emotions.

Human Behaviour Analysis Using Intelligent Systems

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Publisher : Springer Nature
ISBN 13 : 3030351394
Total Pages : 205 pages
Book Rating : 4.0/5 (33 download)

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Book Synopsis Human Behaviour Analysis Using Intelligent Systems by : D. Jude Hemanth

Download or read book Human Behaviour Analysis Using Intelligent Systems written by D. Jude Hemanth and published by Springer Nature. This book was released on 2019-11-20 with total page 205 pages. Available in PDF, EPUB and Kindle. Book excerpt: Human–computer interaction (HCI) is one of the most significant areas of computational intelligence. This book focuses on the human emotion analysis aspects of HCI, highlighting innovative methodologies for emotion analysis by machines/computers and their application areas. The methodologies are presented with numerical results to enable researchers to replicate the work. This multidisciplinary book is useful to researchers and academicians, as well as students wanting to pursue a career in computational intelligence. It can also be used as a handbook, reference book, and a textbook for short courses.

Comparing SVM Libraries to Detect a Computer User's Emotion from Physiological Data

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Publisher :
ISBN 13 :
Total Pages : 58 pages
Book Rating : 4.:/5 (124 download)

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Book Synopsis Comparing SVM Libraries to Detect a Computer User's Emotion from Physiological Data by : Sunny Desai

Download or read book Comparing SVM Libraries to Detect a Computer User's Emotion from Physiological Data written by Sunny Desai and published by . This book was released on 2016 with total page 58 pages. Available in PDF, EPUB and Kindle. Book excerpt: Human-computer interactions result in psychological effects on human behavior. The analysis of the human behavior can be done using physiological data of a user in intense emotional states. A user may have intense emotions, which could make the user more nervous, sad or aggressive. The thesis shows how physiological data can be used to analyze user's emotional state and summarizes the findings of using two machine learning libraries to learn the user's emotional states. The thesis demonstrates how information is extracted from the test data and how to determine the best results based on a comparison between the accuracy outcomes from using different configurations and machine learning libraries. The thesis also discusses how to set up a test for a large dataset and choose an appropriate machine learning approach. The outcome will be helpful to analyze and understand about how to train the models with the given dataset. Results of this study can be utilized for future research and applications for mitigating the effects of the content on user's emotions.

Machine and Deep Learning Techniques for Emotion Detection

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Publisher : IGI Global
ISBN 13 :
Total Pages : 333 pages
Book Rating : 4.3/5 (693 download)

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Book Synopsis Machine and Deep Learning Techniques for Emotion Detection by : Rai, Mritunjay

Download or read book Machine and Deep Learning Techniques for Emotion Detection written by Rai, Mritunjay and published by IGI Global. This book was released on 2024-05-14 with total page 333 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computer understanding of human emotions has become crucial and complex within the era of digital interaction and artificial intelligence. Emotion detection, a field within AI, holds promise for enhancing user experiences, personalizing services, and revolutionizing industries. However, navigating this landscape requires a deep understanding of machine and deep learning techniques and the interdisciplinary challenges accompanying them. Machine and Deep Learning Techniques for Emotion Detection offer a comprehensive solution to this pressing problem. Designed for academic scholars, practitioners, and students, it is a guiding light through the intricate terrain of emotion detection. By blending theoretical insights with practical implementations and real-world case studies, our book equips readers with the knowledge and tools needed to advance the frontier of emotion analysis using machine and deep learning methodologies.

Proceedings of the 9th International Conference on Advanced Intelligent Systems and Informatics 2023

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Publisher : Springer Nature
ISBN 13 : 3031432479
Total Pages : 572 pages
Book Rating : 4.0/5 (314 download)

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Book Synopsis Proceedings of the 9th International Conference on Advanced Intelligent Systems and Informatics 2023 by : AboulElla Hassanien

Download or read book Proceedings of the 9th International Conference on Advanced Intelligent Systems and Informatics 2023 written by AboulElla Hassanien and published by Springer Nature. This book was released on 2023-09-17 with total page 572 pages. Available in PDF, EPUB and Kindle. Book excerpt: This proceedings book constitutes the refereed proceedings of the 9th International Conference on Advanced Intelligent Systems and Informatics (AISI 2023), which took place in Port Said University, Port Said, Egypt, during September 20–22, 2023, Egypt, and is an international interdisciplinary conference that presents a spectrum of scientific research on all aspects of informatics and intelligent systems, technologies, and applications.

Context-sensitive Machine Learning for Intelligent Human Behavior Analysis

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Publisher :
ISBN 13 :
Total Pages : 251 pages
Book Rating : 4.:/5 (835 download)

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Book Synopsis Context-sensitive Machine Learning for Intelligent Human Behavior Analysis by : Martin Wöllmer

Download or read book Context-sensitive Machine Learning for Intelligent Human Behavior Analysis written by Martin Wöllmer and published by . This book was released on 2012 with total page 251 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Historical Roots of Psychopathology

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Publisher : Frontiers Media SA
ISBN 13 : 2889199339
Total Pages : 62 pages
Book Rating : 4.8/5 (891 download)

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Book Synopsis Historical Roots of Psychopathology by : Diogo Telles Correia

Download or read book Historical Roots of Psychopathology written by Diogo Telles Correia and published by Frontiers Media SA. This book was released on 2016-08-12 with total page 62 pages. Available in PDF, EPUB and Kindle. Book excerpt: New advances of the neuroscience supported by a refined, reliable and valid phenotyping (e.g., at the level of symptoms and not at the level of disorders), are bringing some promising results. The mapping of clinical phenomenology on specific brain dysfunction is now becoming plausible and the resulting functional psychopathology may in the future significantly replace the present nosology (Jablensky, 2010). Nevertheless, as Andreasen (2007) points out: “Applying technology without companionship of wise clinicians with specific expertise in psychopathology will be a lonely, sterile and perhaps fruitless enterprise.” Some of the chapters of this Ebook deal with aspects which are essential to the historical understanding of mental symptoms and disorders.

Linguistic Biomarkers of Neurological, Cognitive, and Psychiatric Disorders: Verification, Analytical Validation, Clinical Validation, and Machine Learning

Download Linguistic Biomarkers of Neurological, Cognitive, and Psychiatric Disorders: Verification, Analytical Validation, Clinical Validation, and Machine Learning PDF Online Free

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Publisher : Frontiers Media SA
ISBN 13 : 2832552978
Total Pages : 122 pages
Book Rating : 4.8/5 (325 download)

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Book Synopsis Linguistic Biomarkers of Neurological, Cognitive, and Psychiatric Disorders: Verification, Analytical Validation, Clinical Validation, and Machine Learning by : Ratree Wayland

Download or read book Linguistic Biomarkers of Neurological, Cognitive, and Psychiatric Disorders: Verification, Analytical Validation, Clinical Validation, and Machine Learning written by Ratree Wayland and published by Frontiers Media SA. This book was released on 2024-08-07 with total page 122 pages. Available in PDF, EPUB and Kindle. Book excerpt: Degeneration of nerve cells that control cognitive, speech, and language processes leading to linguistic impairments at various levels, from verbal utterances to individual speech sounds, could indicate signs of neurological, cognitive and psychiatric disorders such as Alzheimer’s disease (AD), Parkinson’s disease (PD), amyotrophic lateral sclerosis (ALS), dementias, depression, autism spectrum disorder, schizophrenia, etc. Currently, these disorders are diagnosed using specific clinical diagnostic criteria and neuropsychological examinations. However, speech-based biomarkers could potentially offer many advantages over current clinical standards. In addition to being objective and naturalistic, they can also be collected remotely with minimal instruction and time requirements. Furthermore, Machine Learning algorithms developed to build automated diagnostic models using linguistic features extracted from speech could aid diagnosis of patients with probable diseases from a group of normal population. To ensure that speech-based biomarkers are providing accurate measurement and can serve as effective clinical tools for detecting and monitoring disease, speech features extracted and analyzed must be systematically and rigorously evaluated. Different machine learning architectures trained to classify different types of disordered speech must also be rigorously tested and systematically compared.

Videogame Sciences and Arts

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Publisher : Springer Nature
ISBN 13 : 3031514521
Total Pages : 347 pages
Book Rating : 4.0/5 (315 download)

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Book Synopsis Videogame Sciences and Arts by : Liliana Vale Costa

Download or read book Videogame Sciences and Arts written by Liliana Vale Costa and published by Springer Nature. This book was released on 2024-01-02 with total page 347 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the revised selected papers of the 13th International Conference on Videogame Sciences and Arts, VJ 2023, held in Aveiro, Portugal, during November 28–30, 2023. The 17 full papers and the 6 short papers presented were carefully reviewed and selected from 64 submissions. They are organized in topical sections named: game experience and evaluation; game-based learning and edutainment; games and culture; game design and development.

Artificial Intelligence in Behavioral and Mental Health Care

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Publisher : Academic Press
ISBN 13 : 0128007923
Total Pages : 309 pages
Book Rating : 4.1/5 (28 download)

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Book Synopsis Artificial Intelligence in Behavioral and Mental Health Care by : David D. Luxton

Download or read book Artificial Intelligence in Behavioral and Mental Health Care written by David D. Luxton and published by Academic Press. This book was released on 2015-09-10 with total page 309 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence in Behavioral and Mental Health Care summarizes recent advances in artificial intelligence as it applies to mental health clinical practice. Each chapter provides a technical description of the advance, review of application in clinical practice, and empirical data on clinical efficacy. In addition, each chapter includes a discussion of practical issues in clinical settings, ethical considerations, and limitations of use. The book encompasses AI based advances in decision-making, in assessment and treatment, in providing education to clients, robot assisted task completion, and the use of AI for research and data gathering. This book will be of use to mental health practitioners interested in learning about, or incorporating AI advances into their practice and for researchers interested in a comprehensive review of these advances in one source. Summarizes AI advances for use in mental health practice Includes advances in AI based decision-making and consultation Describes AI applications for assessment and treatment Details AI advances in robots for clinical settings Provides empirical data on clinical efficacy Explores practical issues of use in clinical settings

Explainable and Interpretable Models in Computer Vision and Machine Learning

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Publisher : Springer
ISBN 13 : 3319981315
Total Pages : 299 pages
Book Rating : 4.3/5 (199 download)

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Book Synopsis Explainable and Interpretable Models in Computer Vision and Machine Learning by : Hugo Jair Escalante

Download or read book Explainable and Interpretable Models in Computer Vision and Machine Learning written by Hugo Jair Escalante and published by Springer. This book was released on 2018-11-29 with total page 299 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book compiles leading research on the development of explainable and interpretable machine learning methods in the context of computer vision and machine learning. Research progress in computer vision and pattern recognition has led to a variety of modeling techniques with almost human-like performance. Although these models have obtained astounding results, they are limited in their explainability and interpretability: what is the rationale behind the decision made? what in the model structure explains its functioning? Hence, while good performance is a critical required characteristic for learning machines, explainability and interpretability capabilities are needed to take learning machines to the next step to include them in decision support systems involving human supervision. This book, written by leading international researchers, addresses key topics of explainability and interpretability, including the following: · Evaluation and Generalization in Interpretable Machine Learning · Explanation Methods in Deep Learning · Learning Functional Causal Models with Generative Neural Networks · Learning Interpreatable Rules for Multi-Label Classification · Structuring Neural Networks for More Explainable Predictions · Generating Post Hoc Rationales of Deep Visual Classification Decisions · Ensembling Visual Explanations · Explainable Deep Driving by Visualizing Causal Attention · Interdisciplinary Perspective on Algorithmic Job Candidate Search · Multimodal Personality Trait Analysis for Explainable Modeling of Job Interview Decisions · Inherent Explainability Pattern Theory-based Video Event Interpretations

ICT Analysis and Applications

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Publisher : Springer Nature
ISBN 13 : 9811583544
Total Pages : 817 pages
Book Rating : 4.8/5 (115 download)

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Book Synopsis ICT Analysis and Applications by : Simon Fong

Download or read book ICT Analysis and Applications written by Simon Fong and published by Springer Nature. This book was released on 2020-12-15 with total page 817 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book proposes new technologies and discusses future solutions for ICT design infrastructures, as reflected in high-quality papers presented at the 5th International Conference on ICT for Sustainable Development (ICT4SD 2020), held in Goa, India, on 23–24 July 2020. The conference provided a valuable forum for cutting-edge research discussions among pioneering researchers, scientists, industrial engineers, and students from all around the world. Bringing together experts from different countries, the book explores a range of central issues from an international perspective.

fMRI Neurofeedback

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Publisher : Academic Press
ISBN 13 : 0128224363
Total Pages : 366 pages
Book Rating : 4.1/5 (282 download)

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Book Synopsis fMRI Neurofeedback by : Michelle Hampson

Download or read book fMRI Neurofeedback written by Michelle Hampson and published by Academic Press. This book was released on 2021-10-09 with total page 366 pages. Available in PDF, EPUB and Kindle. Book excerpt: fMRI Neurofeedback provides a perspective on how the field of functional magnetic resonance imaging (fMRI) neurofeedback has evolved, an introduction to state-of-the-art methods used for fMRI neurofeedback, a review of published neuroscientific and clinical applications, and a discussion of relevant ethical considerations. It gives a view of the ongoing research challenges throughout and provides guidance for researchers new to the field on the practical implementation and design of fMRI neurofeedback protocols. This book is designed to be accessible to all scientists and clinicians interested in conducting fMRI neurofeedback research, addressing the variety of different knowledge gaps that readers may have given their varied backgrounds and avoiding field-specific jargon. The book, therefore, will be suitable for engineers, computer scientists, neuroscientists, psychologists, and physicians working in fMRI neurofeedback. Provides a reference on fMRI neurofeedback covering history, methods, mechanisms, clinical applications, and basic research, as well as ethical considerations Offers contributions from international experts—leading research groups are represented, including from Europe, Japan, Israel, and the United States Includes coverage of data analytic methods, study design, neuroscience mechanisms, and clinical considerations Presents a perspective on future translational development

The Experience of Alzheimer's Disease

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Publisher : Wiley-Blackwell
ISBN 13 : 9780631216667
Total Pages : 376 pages
Book Rating : 4.2/5 (166 download)

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Book Synopsis The Experience of Alzheimer's Disease by : Steven R. Sabat

Download or read book The Experience of Alzheimer's Disease written by Steven R. Sabat and published by Wiley-Blackwell. This book was released on 2001-06-08 with total page 376 pages. Available in PDF, EPUB and Kindle. Book excerpt: At a time when the incidence of Alzheimer's Disease is increasing dramatically, this accessible account revolutionises our stereotypes of Alzheimer's patients and their care.

Microsoft Azure Essentials Azure Machine Learning

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Publisher : Microsoft Press
ISBN 13 : 073569818X
Total Pages : 393 pages
Book Rating : 4.7/5 (356 download)

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Book Synopsis Microsoft Azure Essentials Azure Machine Learning by : Jeff Barnes

Download or read book Microsoft Azure Essentials Azure Machine Learning written by Jeff Barnes and published by Microsoft Press. This book was released on 2015-04-25 with total page 393 pages. Available in PDF, EPUB and Kindle. Book excerpt: Microsoft Azure Essentials from Microsoft Press is a series of free ebooks designed to help you advance your technical skills with Microsoft Azure. This third ebook in the series introduces Microsoft Azure Machine Learning, a service that a developer can use to build predictive analytics models (using training datasets from a variety of data sources) and then easily deploy those models for consumption as cloud web services. The ebook presents an overview of modern data science theory and principles, the associated workflow, and then covers some of the more common machine learning algorithms in use today. It builds a variety of predictive analytics models using real world data, evaluates several different machine learning algorithms and modeling strategies, and then deploys the finished models as machine learning web services on Azure within a matter of minutes. The ebook also expands on a working Azure Machine Learning predictive model example to explore the types of client and server applications you can create to consume Azure Machine Learning web services. Watch Microsoft Press’s blog and Twitter (@MicrosoftPress) to learn about other free ebooks in the Microsoft Azure Essentials series.

Programming Collective Intelligence

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Publisher : "O'Reilly Media, Inc."
ISBN 13 : 0596550685
Total Pages : 361 pages
Book Rating : 4.5/5 (965 download)

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Book Synopsis Programming Collective Intelligence by : Toby Segaran

Download or read book Programming Collective Intelligence written by Toby Segaran and published by "O'Reilly Media, Inc.". This book was released on 2007-08-16 with total page 361 pages. Available in PDF, EPUB and Kindle. Book excerpt: Want to tap the power behind search rankings, product recommendations, social bookmarking, and online matchmaking? This fascinating book demonstrates how you can build Web 2.0 applications to mine the enormous amount of data created by people on the Internet. With the sophisticated algorithms in this book, you can write smart programs to access interesting datasets from other web sites, collect data from users of your own applications, and analyze and understand the data once you've found it. Programming Collective Intelligence takes you into the world of machine learning and statistics, and explains how to draw conclusions about user experience, marketing, personal tastes, and human behavior in general -- all from information that you and others collect every day. Each algorithm is described clearly and concisely with code that can immediately be used on your web site, blog, Wiki, or specialized application. This book explains: Collaborative filtering techniques that enable online retailers to recommend products or media Methods of clustering to detect groups of similar items in a large dataset Search engine features -- crawlers, indexers, query engines, and the PageRank algorithm Optimization algorithms that search millions of possible solutions to a problem and choose the best one Bayesian filtering, used in spam filters for classifying documents based on word types and other features Using decision trees not only to make predictions, but to model the way decisions are made Predicting numerical values rather than classifications to build price models Support vector machines to match people in online dating sites Non-negative matrix factorization to find the independent features in a dataset Evolving intelligence for problem solving -- how a computer develops its skill by improving its own code the more it plays a game Each chapter includes exercises for extending the algorithms to make them more powerful. Go beyond simple database-backed applications and put the wealth of Internet data to work for you. "Bravo! I cannot think of a better way for a developer to first learn these algorithms and methods, nor can I think of a better way for me (an old AI dog) to reinvigorate my knowledge of the details." -- Dan Russell, Google "Toby's book does a great job of breaking down the complex subject matter of machine-learning algorithms into practical, easy-to-understand examples that can be directly applied to analysis of social interaction across the Web today. If I had this book two years ago, it would have saved precious time going down some fruitless paths." -- Tim Wolters, CTO, Collective Intellect