Description

Book Synopsis

.- WILE 2024.

.- Expert System for Teaching Classification Systems Workflow.

.- Enhancing Student Theses with Advanced Text Analysis Using NLP and Pre-Trained Models.

.- Competence-Based Student Modelling with Dynamic Bayesian Networks.

.- XploRe: XR tool for learning about the Solar System and its physical phenomena.

.- Emotion Recognition in Virtual Reality Learning Environments: A Multimodal Machine Learning Approach.

.- Enhancing Dropout Prediction Models Through Feature Selection Techniques.

.- Assessing Cognitive Load in Programming Exercises Based on Readability and Lexical Richness.

.- CIAPP 2024.

.- Air Pollution, Socioeconomic Status, and Avoidable Hospitalizations in Mexico City: A Multifaceted Analysis.

.- Automatic Detection of Abnormal Pedestrian Flows, Using Classification and Tracking with Pre-Trained YOLOv8.

.- Computational time reduction in the induction of Convolutional Decision Trees.

.- Bean landraces color identification through image analysis and Gaussian Mixture Model.

.- Efficient Neural Architecture Search: Computational Cost Reduction Mechanisms in DeepGA.

.- Prediction of epileptic seizure using neuroevolved spiking neural network.

.- Identification of simple geometric figures using Matlab and ROS.

.- Experimental Study for Automatic Feature Construction to Segment Images of Lungs A↵ected by COVID-19 Using Genetic Programming.

.- Color quantification in common bean landraces using a supervised learning technique.

.- Explainable AI through Decision Trees for black-box models used to support Bacterial Vaginosis Diagnosis.

.- Improving lactation curve estimation in sheep: A comparative analysis of machine learning algorithms across multiple measurement systems.

Advances in Computational Intelligence. MICAI 2024 International Workshops

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    £47.49

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    Order before 4pm tomorrow for delivery by Sat 20 Jun 2026.

    A Paperback by Lourdes Martínez-Villaseñor

    15 in stock


      View other formats and editions of Advances in Computational Intelligence. MICAI 2024 International Workshops by Lourdes Martínez-Villaseñor

      Publisher: Springer
      Publication Date: 15/03/2025
      ISBN13: 9783031838811, 978-3031838811
      ISBN10:

      Description

      Book Synopsis

      .- WILE 2024.

      .- Expert System for Teaching Classification Systems Workflow.

      .- Enhancing Student Theses with Advanced Text Analysis Using NLP and Pre-Trained Models.

      .- Competence-Based Student Modelling with Dynamic Bayesian Networks.

      .- XploRe: XR tool for learning about the Solar System and its physical phenomena.

      .- Emotion Recognition in Virtual Reality Learning Environments: A Multimodal Machine Learning Approach.

      .- Enhancing Dropout Prediction Models Through Feature Selection Techniques.

      .- Assessing Cognitive Load in Programming Exercises Based on Readability and Lexical Richness.

      .- CIAPP 2024.

      .- Air Pollution, Socioeconomic Status, and Avoidable Hospitalizations in Mexico City: A Multifaceted Analysis.

      .- Automatic Detection of Abnormal Pedestrian Flows, Using Classification and Tracking with Pre-Trained YOLOv8.

      .- Computational time reduction in the induction of Convolutional Decision Trees.

      .- Bean landraces color identification through image analysis and Gaussian Mixture Model.

      .- Efficient Neural Architecture Search: Computational Cost Reduction Mechanisms in DeepGA.

      .- Prediction of epileptic seizure using neuroevolved spiking neural network.

      .- Identification of simple geometric figures using Matlab and ROS.

      .- Experimental Study for Automatic Feature Construction to Segment Images of Lungs A↵ected by COVID-19 Using Genetic Programming.

      .- Color quantification in common bean landraces using a supervised learning technique.

      .- Explainable AI through Decision Trees for black-box models used to support Bacterial Vaginosis Diagnosis.

      .- Improving lactation curve estimation in sheep: A comparative analysis of machine learning algorithms across multiple measurement systems.

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