Artificial Intelligence XXXVIII: Lecture Notes in Computer Science, cartea 13101
Editat de Max Bramer, Richard Ellisen Limba Engleză Paperback – 12 noi 2021
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Specificații
ISBN-13: 9783030910990
ISBN-10: 3030910997
Pagini: 400
Ilustrații: XIV, 384 p. 99 illus., 37 illus. in color.
Dimensiuni: 155 x 235 x 22 mm
Greutate: 0.6 kg
Ediția:1st edition 2021
Editura: Springer
Colecția Lecture Notes in Computer Science
Seria Lecture Notes in Computer Science
Locul publicării:Cham, Switzerland
ISBN-10: 3030910997
Pagini: 400
Ilustrații: XIV, 384 p. 99 illus., 37 illus. in color.
Dimensiuni: 155 x 235 x 22 mm
Greutate: 0.6 kg
Ediția:1st edition 2021
Editura: Springer
Colecția Lecture Notes in Computer Science
Seria Lecture Notes in Computer Science
Locul publicării:Cham, Switzerland
Cuprins
Technical Papers.- On the Generalization Abilities of Fine-Tuned Commonsense Language Representation Models (Best Technical Paper).- Machine Learning.- Generation of Human-aware Navigation Maps using Graph Neural Networks.- Extended Category Learning with Spiking Nets and Spike Timing Dependent Plasticity.- ORACLE: End-to-end Model Based Reinforcement Learning.- Towards Explaining Metaheuristic Solution Quality by Data Mining Surrogate Fitness Models for Importance of Variables.- AI Techniques.- Assessing the Impact of Agents in Weighted Bipolar Argumentation Frameworks.- Towards Explainable Metaheuristics: PCA for Trajectory Mining in Evolutionary Algorithms.- AI Methods of Autonomous Geological Target Selection in the Hunt for Signs of Extraterrestrial Life.- Probabilistic Rule Induction for Transparent CBR under Uncertainty.- Short Technical Stream Papers.- Detection of Brain Tumour using Deep Learning.- GaussianProductAttributes: Density-based Distributed Representations for Products.- Modelling Emotion Dynamics in Chatbots with Neural Hawkes Processes.- Knowledge-Based Composable Inductive Programming.- Named Entity Recognition and Relation Extraction for COVID-19: Explainable Active Learning with word2vec Embeddings and Transformer-based BERT Models.- Application Papers.- Patients Forecasting in Emergency Services by using Machine Learning and Exogenous variables (Best Application Paper).- Applications of Machine Learning.- Automatic Information Extraction from Electronic Documents using Machine Learning.- Modelling Satellite Data for Automobile Insurance Risk.- Ranking Pathology Data in the Absence of a Ground Truth.- Evolving Large Scale Prediction Models for Vehicle Volume Forecasting in Service Stations.- AI for Medicine.- Sequential Association Rule Mining Revisited: A Study Directed at Relational Pattern Mining for Multi-morbidity.- Addressing the Challenge of Data Heterogeneity using a Homogeneous Feature Vector Representation.- Context-aware Supportfor Cardiac Health Monitoring using Federated Machine Learning.- Using Automated Feature Selection for Building Case-Based Reasoning Systems: An Example from Patient-Reported Outcome Measurements.- Advances in Applied AI.- A Live-User Evaluation of a Visual Module Recommender & Advisory System for Undergraduate Students.- AdverseGen: A Practical Tool for Generating Adversarial Examples to Deep Neural Networks Using Black-box Approaches.- Adaptive Maneuver Planning for Autonomous Vehicles using Behavior Tree on Apollo Platform.- Behavioural User Identification from Clickstream Data for Business Improvement.- Short Application Stream Papers.- AI enabled Bio Waste Contamination-Scanner.- Parkinson's Disease Tremor Severity Classification - A Comparison Between ON and OFF Medication State.- Towards Publishing Ontology-based Data Quality Metadata of Open Data.- Towards a Brain Controller Interface for Generating Simple Berlin School Style Music with Interactive Genetic Algorithms.