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245 1 0 _aArtificial Intelligence XXXVIII
_h[electronic resource] :
_b41st SGAI International Conference on Artificial Intelligence, AI 2021, Cambridge, UK, December 14-16, 2021, Proceedings /
_cedited by Max Bramer, Richard Ellis.
250 _a1st ed. 2021.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2021.
300 _aXIV, 384 p. 99 illus., 37 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
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_2rdacarrier
347 _atext file
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490 1 _aLecture Notes in Artificial Intelligence,
_x2945-9141 ;
_v13101
505 0 _aTechnical 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.
520 _aThis book constitutes the proceedings of the 41st SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence, AI 2021, which was supposed to be held in Cambridge, UK, in December 2021. The conference was held virtually due to the COVID-19 pandemic. The 22 full papers and 10 short papers presented in this volume were carefully reviewed and selected from 37 submissions. The volume includes technical papers presenting new and innovative developments in the field as well as application papers presenting innovative applications of AI techniques in a number of subject domains. The papers are organized in the following topical sections: technical paper; machine learning; AI techniques; short technical stream papers; application papers; applications of machine learning; AI for medicine; advances in applied AI; and short application stream papers.
650 0 _aArtificial intelligence.
_93407
650 0 _aComputer engineering.
_910164
650 0 _aComputer networks .
_931572
650 0 _aAlgorithms.
_93390
650 0 _aInformation technology
_xManagement.
_95368
650 0 _aEducation
_xData processing.
_982607
650 1 4 _aArtificial Intelligence.
_93407
650 2 4 _aComputer Engineering and Networks.
_9122674
650 2 4 _aDesign and Analysis of Algorithms.
_931835
650 2 4 _aComputer Application in Administrative Data Processing.
_931588
650 2 4 _aComputers and Education.
_941129
700 1 _aBramer, Max.
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_9122675
700 1 _aEllis, Richard.
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_9122676
710 2 _aSpringerLink (Online service)
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773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
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776 0 8 _iPrinted edition:
_z9783030911010
830 0 _aLecture Notes in Artificial Intelligence,
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856 4 0 _uhttps://doi.org/10.1007/978-3-030-91100-3
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