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Explainable Artificial Intelligence: An Introduction to Interpretable Machine Learning

Uday Kamath, John Liu
Springer International Publishing
149.79 € · Hardcover

interpretability of models explainability intrinsic methods model-agnostic methods deep learning methods Interpretable Machine Learning Models

This book is written both for readers entering the field, and for practitioners with a background in AI and an interest in developing real-world applications. The book is a great resource for practitioners and researchers in both industry and academia, and the discussed case studies and associated m...

High-Dimensional Regression Analysis and Artificial Intelligence

Asaf Hajiyev, Jiuping Xu
Springer Singapore
181.89 € · Hardcover

interpretable artificial intelligence high-dimensional nonlinear regression credibility evaluation of AI model explanations explainable AI with confidence scoring robust statistical modeling statistical confidence for AI interpretations credibility assessment of AI explanations in real data

In this book, a novel high-dimensional linear and nonlinear regression model is introduced to address, in part, the challenges of evaluating the stability and confidence of large-scale models' interpretability. The book begins by reviewing foundational concepts in regression analysis, and discu...

Fuzzy Cognitive Maps

Springer International Publishing
171.19 € · Hardcover

Fuzzy Cognitive Maps Participatory Modeling Interpretable Neural Models Recurrent Neural Networks Mental Models Cognitive Networks Graphical Model Multi-Attribute Decision-Making Granular Computing Map-Based Reasoning Model

This book starts with the rationale for creating an FCM by contrast to other techniques for participatory modeling, as this rationale is a key element to justify the adoption of techniques in a research paper. Fuzzy cognitive mapping is an active research field with over 20,000 publications devoted ...

Multimodal Knowledge Systems

Changmeng Zheng, Qing Li
Springer International Publishing
160.49 € · Hardcover

Multimodal Knowledge Extraction Cross-Modal Graph Alignment Hierarchical Representation Learning Knowledge Graph Reasoning Bias Mitigation in AI Multimodal Dataset Construction Interpretable Neural Networks Multi-Agent Debate Systems Ethical AI Deployment Foundation Model Integration Social Media Analytics Human-in-the-Loop AI

This book focuses on advancing the integration of multimodal data (text, images, and structured knowledge) to enable precise knowledge extraction and human-like reasoning. The book’s primary objective is to address critical challenges such as modality gaps, semantic misalignment, dataset biases, a...

Explainable Artificial Intelligence: An Introduction to Interpretable Machine Learning

Uday Kamath, John Liu
Springer International Publishing
139.09 € · eBook

interpretability of models explainability intrinsic methods model-agnostic methods deep learning methods Interpretable Machine Learning Models

This book is written both for readers entering the field, and for practitioners with a background in AI and an interest in developing real-world applications. The book is a great resource for practitioners and researchers in both industry and academia, and the discussed case studies and associated m...

Explainable Artificial Intelligence: An Introduction to Interpretable Machine Learning

Uday Kamath, John Liu
Springer International Publishing
149.79 € · Paperback

interpretability of models explainability intrinsic methods model-agnostic methods deep learning methods Interpretable Machine Learning Models

This book is written both for readers entering the field, and for practitioners with a background in AI and an interest in developing real-world applications. The book is a great resource for practitioners and researchers in both industry and academia, and the discussed case studies and associated m...

Improved Software Cost Estimation.

Isabella Wieczorek
Fraunhofer IRB Verlag
37.5 € · Paperback

Fraunhofer IESE Software Cost Estimation Software Kosten Schätzung Cost Factors Kosten Faktoren Model Evaluation Modell Evaluierung Machine Learning Maschinelles Lernen Software Data Bases Software Datenbanken Data Analysis Daten Analyse Informatik Software-Entwicklung

Software Produkte im Zeit- und Kostenrahmen und in akzeptabler Qualität auszuliefern, ist essentiell für viele Organisationen. Aufgrund vieler Probleme in der Praxis wird allerdings nicht unbedingt verstanden wie Kostenvorhersagen zu ermitteln und zu interpretieren sind. Diese Probleme werden durc...

Practical Explainable AI Using Python

Pradeepta Mishra
APRESS
69.54 € · Paperback

Explainable Artificial Intelligence Interpretable Artificial Intelligence Python Interpret the Black-Box Models Model Biasness in neural networks Model Reliability Trusting Black-box models Time Series Models Natural Language Processing Deep Neural Networks Machine Learning Computer Vision

Learn the ins and outs of decisions, biases, and reliability of AI algorithms and how to make sense of these predictions. This book explores the so-called black-box models to boost the adaptability, interpretability, and explainability of the decisions made by AI algorithms using frameworks such as ...

Practical Explainable AI Using Python

Pradeepta Mishra
APRESS
66.99 € · eBook

Explainable Artificial Intelligence Interpretable Artificial Intelligence Python Interpret the Black-Box Models Model Biasness in neural networks Model Reliability Trusting Black-box models Time Series Models Natural Language Processing Deep Neural Networks Machine Learning Computer Vision

Learn the ins and outs of decisions, biases, and reliability of AI algorithms and how to make sense of these predictions. This book explores the so-called black-box models to boost the adaptability, interpretability, and explainability of the decisions made by AI algorithms using frameworks such as ...

Buch Cover Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners, Doctoral Consortium, Blue Sky, and WideAIED

Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners, Doctoral Consortium, Blue Sky, and WideAIED

Springer International Publishing
64.19 € · Paperback

Intelligent Tutoring Systems, Personalization & Adaptation Generative AI (Large Language Model, Large Multimodal Model) Educational Data Mining & Learning Analytics Knowledge Representation Cognitive, Self-regulation & Metacognition modelling Pedagogy, Learning & Instruction Social, Collaborative & Lifelong Learning Assessment And Feedback (Open) Learner Model Accountability, Bias, Fairness, Transparency, Ethics & Privacy Cultural Awareness & Societal Impact Pedagogical And Conversational Agents Multi-agent Architectures & Agentic AI Authoring Tools Games & Gamification For AIED

This three-volume set CCIS 3031–3033 brings together papers from the Late Breaking Results Track, the Practitioners, Industry and Policy Track, the Doctoral Consortium, the Blue Sky Track, and the wideAIED Track, as well as descriptions of workshops and tutorials presented at the 27th Internationa...

Dynamic Data Driven Applications Systems

Springer International Publishing
128.39 € · eBook

Data Driven Applications Systems DDDAS InfoSymbiotic Systems InfoSymbiotics DDDAS-based Digital Twins (DT) Dynamic Digital Twins (DT) Predictive Digital Twins (DT) Reliable AI Multimodal learning Multimodality and Model-based Real-time Decision Support Optimization methods Learning Methods and AI/ML Techniques Explainable and Interpretable Methods advanced Computer Vision methods, planning and control Materials Fundaments & Design Structural Health Monitoring, Aerospace, and Geomechanics System

This book constitutes the refereed proceedings of the 5th International Conference on Dynamic Data Driven Applications Systems, DDDAS/Infosymbiotics for Reliable AI 2024, held in New Brunswick, NJ, USA, during November 6–8, 2024. The 43 full papers included in this book were carefully reviewe...

Explainable Artificial Intelligence

Springer International Publishing
85.59 € · eBook

artificial intelligence interpretable machine learning causal inference & explanations argumentative-based approaches for explanations decomposition of neural network-based models for XAI convolutional Neural Networks natural language processing for explanations reinforcement learning for enhancing XAI explainability neural networks explainable Artificial Intelligence Ante-hoc approaches for interpretability Auto-encoders & explainability of latent spaces Case-based explanations for AI systems Graph neural networks for explainability

This four-volume set constitutes the refereed proceedings of the Second World Conference on Explainable Artificial Intelligence, xAI 2024, held in Valletta, Malta, during July 17-19, 2024.  The 95 full papers presented were carefully reviewed and selected from 204 submissions. The conference p...

Practical Statistical Learning and Data Science Methods

Springer International Publishing
223.63 € · eBook

statistical learning data science machine learning data classification time series machine learning classifiers predictive modeling deep learning models SHAP LIME Shapley Additive Explanation Local Interpretable Model-agnostic Explanations

This contributed volume offers practical implementation strategies for statistical learning and data science techniques, with fully peer-reviewed papers that embody insights and experiences gathered within the LISA 2020 Global Network. Through a series of compelling case studies, readers are immerse...

Explainable Artificial Intelligence

Springer International Publishing
42.79 € · Paperback

Open Access eXplainable Artificial Intelligence Artificial Intelligence Machine Learning Interpretable machine learning Causal inference & explanations Ante-hoc approaches for interpretability Argumentative-based approaches for explanations Auto-encoders & explainability of latent spaces Black-boxes vs white-boxes Case-based explanations for AI systems Decomposition of neural network-based models for XAI Graph neural networks for explainability Interpreting & explaining Convolutional Neural Networks Interpretable representational learning

This open access five-volume set constitutes the refereed proceedings of the Second World Conference on Explainable Artificial Intelligence, xAI 2025, held in Istanbul, Turkey, during July 2025. The 96 revised full papers presented in these proceedings were carefully reviewed and selected from 224 s...

Dynamic Data Driven Applications Systems

Springer International Publishing
139.09 € · Paperback

Data Driven Applications Systems DDDAS InfoSymbiotic Systems InfoSymbiotics DDDAS-based Digital Twins (DT) Dynamic Digital Twins (DT) Predictive Digital Twins (DT) Reliable AI Multimodal learning Multimodality and Model-based Real-time Decision Support Optimization methods Learning Methods and AI/ML Techniques Explainable and Interpretable Methods advanced Computer Vision methods, planning and control Materials Fundaments & Design Structural Health Monitoring, Aerospace, and Geomechanics System

This book constitutes the refereed proceedings of the 5th International Conference on Dynamic Data Driven Applications Systems, DDDAS/Infosymbiotics for Reliable AI 2024, held in New Brunswick, NJ, USA, during November 6–8, 2024. The 43 full papers included in this book were carefully reviewe...

Multimodal Knowledge Systems

Changmeng Zheng, Qing Li
Springer International Publishing
160.49 € · eBook

Multimodal Knowledge Extraction Cross-Modal Graph Alignment Hierarchical Representation Learning Knowledge Graph Reasoning Bias Mitigation in AI Multimodal Dataset Construction Interpretable Neural Networks Multi-Agent Debate Systems Ethical AI Deployment Foundation Model Integration Social Media Analytics Human-in-the-Loop AI

This book focuses on advancing the integration of multimodal data (text, images, and structured knowledge) to enable precise knowledge extraction and human-like reasoning. The book’s primary objective is to address critical challenges such as modality gaps, semantic misalignment, dataset biases, a...

Explainable Artificial Intelligence

Springer International Publishing
85.59 € · Paperback

artificial intelligence interpretable machine learning causal inference & explanations argumentative-based approaches for explanations decomposition of neural network-based models for XAI convolutional Neural Networks natural language processing for explanations reinforcement learning for enhancing XAI explainability neural networks explainable Artificial Intelligence Ante-hoc approaches for interpretability Auto-encoders & explainability of latent spaces Case-based explanations for AI systems Graph neural networks for explainability

This four-volume set constitutes the refereed proceedings of the Second World Conference on Explainable Artificial Intelligence, xAI 2024, held in Valletta, Malta, during July 17-19, 2024.  The 95 full papers presented were carefully reviewed and selected from 204 submissions. The conference p...

Fuzzy Cognitive Maps

Springer International Publishing
128.39 € · eBook

Fuzzy Cognitive Maps Participatory Modeling Interpretable Neural Models Recurrent Neural Networks Mental Models Cognitive Networks Graphical Model Multi-Attribute Decision-Making Granular Computing Map-Based Reasoning Model

This book starts with the rationale for creating an FCM by contrast to other techniques for participatory modeling, as this rationale is a key element to justify the adoption of techniques in a research paper. Fuzzy cognitive mapping is an active research field with over 20,000 publications devoted ...

High-Dimensional Regression Analysis and Artificial Intelligence

Asaf Hajiyev, Jiuping Xu
Springer Singapore
181.89 € · eBook

interpretable artificial intelligence high-dimensional nonlinear regression credibility evaluation of AI model explanations explainable AI with confidence scoring robust statistical modeling statistical confidence for AI interpretations credibility assessment of AI explanations in real data

In this book, a novel high-dimensional linear and nonlinear regression model is introduced to address, in part, the challenges of evaluating the stability and confidence of large-scale models' interpretability. The book begins by reviewing foundational concepts in regression analysis, and discu...

Explainable Artificial Intelligence

Springer International Publishing
€ · eBook

Open Access eXplainable Artificial Intelligence Artificial Intelligence Machine Learning Interpretable machine learning Causal inference & explanations Ante-hoc approaches for interpretability Argumentative-based approaches for explanations Auto-encoders & explainability of latent spaces Black-boxes vs white-boxes Case-based explanations for AI systems Decomposition of neural network-based models for XAI Graph neural networks for explainability Interpreting & explaining Convolutional Neural Networks Interpretable representational learning

This open access five-volume set constitutes the refereed proceedings of the Second World Conference on Explainable Artificial Intelligence, xAI 2025, held in Istanbul, Turkey, during July 2025.  The 96 revised full papers presented in these proceedings were carefully reviewed and selected from...

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