Interpretable Neural Networks – Bücher zum Thema Interpretable Neural Networks finden und kaufen

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...

Deep Learning for Polymer Discovery

Gang Liu, Eric Inae, Meng Jiang
Springer International Publishing
42.79 € · Hardcover

Deep Learning for Polymer Discovery AI in Materials Science and Engineering Neural Networks for Polymer Property Prediction Inverse Polymer Design using Machine Learning Graph Neural Networks in Polymer Science Interpretable AI for Materials Research Semi-supervised Learning in Polymer Discovery Data-centric Transfer Learning for Polymers Machine Learning for Sustainable Materials Development Advanced Polymer Design Techniques using Artificial Intelligence

This book presents a comprehensive range of topics in deep learning for polymer discovery, from fundamental concepts to advanced methodologies.  These topics are crucial as they address critical challenges in polymer science and engineering. With a growing demand for new materials with specific...

Interpretable and Annotation-Efficient Learning for Medical Image Computing

Springer International Publishing
53.49 € · Paperback

artificial intelligence bioinformatics classification computer vision deep learning image analysis image processing image reconstruction image segmentation imaging systems imperfect data machine learning medical image analysis medical images neural networks

This book constitutes the refereed joint proceedings of the Third International Workshop on Interpretability of Machine Intelligence in Medical Image Computing, iMIMIC 2020, the Second International Workshop on Medical Image Learning with Less Labels and Imperfect Data, MIL3ID 2020, and the 5th Inte...

Interpretable and Annotation-Efficient Learning for Medical Image Computing

Springer International Publishing
53.49 € · eBook

artificial intelligence bioinformatics classification computer vision deep learning image analysis image processing image reconstruction image segmentation imaging systems imperfect data machine learning medical image analysis medical images neural networks

This book constitutes the refereed joint proceedings of the Third International Workshop on Interpretability of Machine Intelligence in Medical Image Computing, iMIMIC 2020, the Second International Workshop on Medical Image Learning with Less Labels and Imperfect Data, MIL3ID 2020, and the 5th Inte...

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 ...

Agents and Artificial Intelligence

Springer International Publishing
80.24 € · Paperback

Machine Learning Deep Learning Neural Networks Data Science Multi-Agent Systems Natural Language Processing Industrial Applications of AI AI and Creativity Data Mining Agent Models and Architectures Knowledge Representation and Reasoning Explainable Artificial Intelligence Autonomous Systems Interpretable Artificial Intelligence Planning and Scheduling

This two part-volume LNCS constitutes the refereed post proceedings of 16th International Conference, ICAART 2024, in Rome, Italy in February 2024. The 24 full papers and 13 short papers included in this book were carefully reviewed and selected from 375 submissions. They cover all aspects of formal...

Explainable Artificial Intelligence

Springer International Publishing
128.39 € · 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

This three-volume set constitutes the refereed proceedings of the First World Conference on Explainable Artificial Intelligence, xAI 2023, held in Lisbon, Portugal, in July 2023. The 94 papers presented were thoroughly reviewed and selected from the 220 qualified submissions. They are orga...

Deep Learning for Polymer Discovery

Gang Liu, Eric Inae, Meng Jiang
Springer International Publishing
42.79 € · eBook

Deep Learning for Polymer Discovery AI in Materials Science and Engineering Neural Networks for Polymer Property Prediction Inverse Polymer Design using Machine Learning Graph Neural Networks in Polymer Science Interpretable AI for Materials Research Semi-supervised Learning in Polymer Discovery Data-centric Transfer Learning for Polymers Machine Learning for Sustainable Materials Development Advanced Polymer Design Techniques using Artificial Intelligence

This book presents a comprehensive range of topics in deep learning for polymer discovery, from fundamental concepts to advanced methodologies.  These topics are crucial as they address critical challenges in polymer science and engineering. With a growing demand for new materials with specific...

Agents and Artificial Intelligence

Springer International Publishing
128.39 € · Paperback

Machine Learning Deep Learning Neural Networks Data Science Multi-Agent Systems Natural Language Processing Industrial Applications of AI AI and Creativity Data Mining Agent Models and Architectures Knowledge Representation and Reasoning Explainable Artificial Intelligence Autonomous Systems Interpretable Artificial Intelligence Planning and Scheduling

This two part-volume LNCS constitutes the refereed post proceedings of 16th International Conference, ICAART 2024, in Rome, Italy in February 2024. The 24 full papers and 13 short papers included in this book were carefully reviewed and selected from 375 submissions. They cover all aspects of formal...

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 ...

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...

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...

Pattern Recognition

Springer International Publishing
106.99 € · Paperback

deep learning computer vision data analysis photogrammetry remote sending neural networks weakly supervised learning online learning interpretable machine learning robust models 3D reconstruction neural rendering image segmentation action recognition pattern recognition in the life sciences

This book constitutes the proceedings of the 45th Annual Conference of the German Association for Pattern Recognition, DAGM-GCPR 2023, which took place in Heidelberg, Germany, during September 19-22, 2023. The 40 full papers included in these proceedings were carefully reviewed and selected from 76...

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 ...

Explainable Artificial Intelligence

Springer International Publishing
90.94 € · 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

This three-volume set constitutes the refereed proceedings of the First World Conference on Explainable Artificial Intelligence, xAI 2023, held in Lisbon, Portugal, in July 2023. The 94 papers presented were thoroughly reviewed and selected from the 220 qualified submissions. They are orga...

Explainable Artificial Intelligence

Springer International Publishing
139.09 € · 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

Chapters “Finding Spurious Correlations with Function-Semantic Contrast Analysis” and “Explaining Socio-Demographic and Behavioral Patterns of Vaccination Against the Swine Flu (H1N1) Pandemic” are available open access under a Creative Commons Attribution 4.0 International License via link....

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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