Machine Learning and Knowledge Extraction: Information Systems and Applications, incl. Internet/Web, and HCI
Editat de Andreas Holzinger, Peter Kieseberg, A Min Tjoa, Edgar Weipplen Limba Engleză Paperback – 12 aug 2021
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Specificații
ISBN-13: 9783030840594
ISBN-10: 303084059X
Pagini: 376
Ilustrații: X, 365 p. 119 illus., 96 illus. in color.
Dimensiuni: 155 x 235 x 21 mm
Greutate: 0.57 kg
Ediția:1st edition 2021
Editura: Springer
Seria Information Systems and Applications, incl. Internet/Web, and HCI
Locul publicării:Cham, Switzerland
ISBN-10: 303084059X
Pagini: 376
Ilustrații: X, 365 p. 119 illus., 96 illus. in color.
Dimensiuni: 155 x 235 x 21 mm
Greutate: 0.57 kg
Ediția:1st edition 2021
Editura: Springer
Seria Information Systems and Applications, incl. Internet/Web, and HCI
Locul publicării:Cham, Switzerland
Cuprins
Digital Transformation for Sustainable Development Goals (SDGs) - a Security, Safety and Privacy Perspective on AI.- When in Doubt, Ask: Generating Answerable and Unanswerable Questions, Unsupervised.- Self-Propagating Malware Containment via Reinforcement Learning.- Text2PyCode : Machine Translation of Natural Language Intent to Python Source Code.- Automated Short Answer Grading using Deep Learning : A Survey.- Fair and Adequate Explanations.- Mining Causal Hypotheses in Categorical Time Series by Iterating on Binary Correlations.- Active Finite Reward Automaton Inference and Reinforcement Learning Using Queries and Counterexamples.- Rice seed image-to-image translation using Generative Adversarial Networks to improve weedy rice image classification.- Reliable AI through SVDD and rule extraction.- Airbnb Price Prediction Using Machine Learning and Sentiment Analysis.- Towards Financial Sentiment Analysis in a South African Landscape.- Decisions are not all equal. Introducing a utility metric based on the case-wise raters' perceptions.- Deep Convolutional Neural Network(CNN) design for pathology detection of COVID-19 in chest X-Ray Images.- Anomaly detection for skin lesion images using replicator neural networks.- On the overlap between Grad-CAM saliency maps and explainable visual features in skin cancer images.- From Explainable to Reliable Artificial Intelligence.- Explanatory Pluralism in Explainable AI.- On the Trustworthiness of Tree Ensemble Explainability Methods.- Human-in-the-loop model explanation via verbatim boundary identification in generated neighborhoods.- MAIRE - A Model-Agnostic Interpretable Rule Extraction Procedure for Explaining Classifiers.- Transparent Ensembles for Covid-19 Prognosis.
Caracteristici
Includes supplementary material: sn.pub/extras