Artificial intelligence XXXVIII = 41...
SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence (2021 :)

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  • Artificial intelligence XXXVIII = 41st SGAI International Conference on Artificial Intelligence, AI 2021, Cambridge, UK, December 14-16, 2021 : proceedings /
  • Record Type: Electronic resources : Monograph/item
    Title/Author: Artificial intelligence XXXVIII/ edited by Max Bramer, Richard Ellis.
    Reminder of title: 41st SGAI International Conference on Artificial Intelligence, AI 2021, Cambridge, UK, December 14-16, 2021 : proceedings /
    remainder title: Artificial intelligence 38
    other author: Bramer, M. A.
    corporate name: SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence
    Published: Cham :Springer International Publishing : : 2021.,
    Description: xiv, 384 p. :ill. (some col.), digital ;24 cm.
    [NT 15003449]: 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 Support for 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.
    Contained By: Springer Nature eBook
    Subject: Artificial intelligence - Congresses. -
    Online resource: https://doi.org/10.1007/978-3-030-91100-3
    ISBN: 9783030911003
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