Intelligent Data Engineering and Automated Learning – IDEAL 2023

24th International Conference, Évora, Portugal, November 22–24, 2023, Proceedings

Häftad, Engelska, 2023

Av Paulo Quaresma, David Camacho, Hujun Yin, Teresa Gonçalves, Vicente Julian, Antonio J. Tallón-Ballesteros, Teresa Goncalves, Antonio J. Tallon-Ballesteros

1 229 kr

Beställningsvara. Skickas inom 5-8 vardagar

Fri frakt för medlemmar vid köp för minst 249 kr.

This book constitutes the proceedings of the 24th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2023, held in Évora, Portugal, during November 22–24, 2023. The 45 full papers and 4 short papers presented in this book were carefully reviewed and selected from 77 submissions.

Produktinformation

Utgivningsdatum2023-11-15
Mått155 x 235 x 31 mm
Vikt850 g
FormatHäftad
SpråkEngelska
SerieLecture Notes in Computer Science
Antal sidor549
FörlagSpringer International Publishing AG
ISBN9783031482311

Du kanske också är intresserad av

Experimental IR Meets Multilinguality, Multimodality, and Interaction

Norbert Fuhr, Paulo Quaresma, Teresa Gonçalves, Birger Larsen, Krisztian Balog, Craig Macdonald, Linda Cappellato, Nicola Ferro, Teresa Goncalves

739 kr

Intelligent Data Engineering and Automated Learning – IDEAL 2019

Hujun Yin, David Camacho, Peter Tino, Antonio J. Tallón-Ballesteros, Ronaldo Menezes, Richard Allmendinger, Antonio J. Tallon-Ballesteros

699 kr

Intelligent Data Engineering and Automated Learning – IDEAL 2019

Hujun Yin, David Camacho, Peter Tino, Antonio J. Tallón-Ballesteros, Ronaldo Menezes, Richard Allmendinger, Antonio J. Tallon-Ballesteros

699 kr

Intelligent Data Engineering and Automated Learning – IDEAL 2018

Hujun Yin, David Camacho, Paulo Novais, Antonio J. Tallón-Ballesteros

1 459 kr

Intelligent Data Engineering and Automated Learning – IDEAL 2024

Vicente Julian, David Camacho, Hujun Yin, Juan M. Alberola, Vitor Beires Nogueira, Paulo Novais, Antonio Tallón-Ballesteros, Antonio Tallon-Ballesteros

1 389 kr

Intelligent Data Engineering and Automated Learning – IDEAL 2018

Hujun Yin, David Camacho, Paulo Novais, Antonio J. Tallón-Ballesteros

739 kr

Intelligent Data Engineering and Automated Learning – IDEAL 2021

Hujun Yin, David Camacho, Peter Tino, Richard Allmendinger, Antonio J. Tallón-Ballesteros, Ke Tang, Sung-Bae Cho, Paulo Novais, Susana Nascimento, Antonio J. Tallon-Ballesteros

1 379 kr

Computational Processing of the Portuguese Language

Paulo Quaresma, Renata Vieira, Sandra Aluísio, Helena Moniz, Fernando Batista, Teresa Gonçalves, Sandra Aluisio, Teresa Goncalves

739 kr

Intelligent Data Engineering and Automated Learning – IDEAL 2024

Vicente Julian, David Camacho, Hujun Yin, Juan M. Alberola, Vitor Beires Nogueira, Paulo Novais, Antonio Tallón-Ballesteros, Antonio Tallon-Ballesteros

1 389 kr

Intelligent Data Engineering and Automated Learning – IDEAL 2016

Hujun Yin, Yang Gao, Bin Li, Daoqiang Zhang, Ming Yang, Yun Li, Frank Klawonn, Antonio J. Tallón-Ballesteros

739 kr

Tillhör följande kategorier

Systemvetenskap och AI inom Data och it
Programvaruutveckling inom Data och it
Material och digital teknik i undervisningen inom Psykologi och pedagogik
Databaser inom Data och it

Main Track: Optimization of Image Acquisition for Earth Observation Satellites via Quantum Computing.- Complexity-driven sampling for Bagging.- A pseudo-label guided hybrid approach for unsupervised domain adaptation⋆.- Combining of Markov Random Field and Convolutional Neural Networks for Hyper/Multispectral Image Classification.- Plant Disease Detection and Classification using a Deep learning-based framework.- Evaluating Text Classification in the Legal Domain Using BERT Embeddings.- Rapid and Low-Cost Evaluation of Multi-Fidelity Scheduling Algorithms for Hyperparameter Optimization.- The Applicability of Federated Learning to Official Statistics.- Generating Wildfire Heat Maps with Twitter and BERT.- An urban simulator integrated with a genetic algorithm for efficient traffic light coordination.- GPU-Based Acceleration of the Rao Optimization Algorithms: Application to the Solution of Large Systems of Nonlinear Equations.- Direct determination of Operational Value-at-Risk using Descriptive Statistics.- Using Deep Learning models to Predict the Electrical Conductivity of the influent in a Wastewater Treatment Plant. -Unsupervised Defect Detection for Infrastructure Inspection.- Generating Adversarial Examples using LAD.- Emotion extraction from Likert-Scale questionnaires – an additional dimension to Psychology Instruments.- Recent applications of pre-aggregation functions.- A Probabilistic Approach: Querying Web Resources In The Presence Of Uncertainty.- Domain Adaptation in Transformer models: Question Answering of Dutch Government Policies.- Sustainable On-Street Parking Mapping with Deep Learning and Airborne Imagery.- Hebbian Learning-Guided Random Walks for Enhanced Community Detection in Correlation-Based Brain Networks.- Hebbian Learning-Guided Random Walks for Enhanced Community Detection in Correlation-Based Brain Networks.- Language Models for Automatic Distribution of Review Notes in Movie Production.- Extracting Knowledge from Incompletely Known Models.- Threshold-based Classification to Enhance Confidence in Open Set of Legal Texts.- Comparing ranking learning algorithms for information retrieval systems.- Analyzing the influence of market event correction for forecasting stock prices using Recurrent Neural Networks.- Measuring the relationship between the use of typical Manosphere discourse and the engagement of a user with the pick-up artist community⋆.- Uniform Design of Experiments for Equality Constraints.- Globular Cluster Detection in M33 Using Multiple Views Representation Learning.- Segmentation of Brachial Plexus Ultrasound Images Based on Modified SegNet Model.- Unsupervised Online Event Ranking for IT Operations⋆.- A Subgraph Embedded GIN with Attention for Graph Classification.- A Machine Learning Approach to Predict Cyclists’ Functional Threshold Power.- Combining Regular Expressions and Supervised Algorithms for Clinical Text Classification.- MODELING THE INK TUNING PROCESS USING MACHINE LEARNING.- Depth and Width Adaption of DNN for Data Stream Classification with Concept Drifts*.- FETCH: A Memory-Efficient Replay Approach for Continual Learning in Image Classification.- Enhanced SVM-SMOTE with Cluster Consistency for Imbalanced Data Classification.- Preliminary Study on Unexploded Ordnance Classification in Underwater Environment Based on the Raw Magnetometry Data..- Efficient Model For Probabilistic Web resources under uncertainty.- Unlocking the Black Box: Towards Interactive Explainable Automated Machine Learning.- Machine Learning for Time Series Forecasting Using State Space Models.- Causal graph discovery for explainable insights on marine biotoxin shellfish contamination.- Special Session on Federated Learning and (pre) Aggregation in Machine Learning: Adaptative fuzzy measure for edge detection.- Special Session on Intelligent Techniques for Real-world Applications of Renewable Energy and Green Transport: Prediction and Uncertainty Estimation in Power Curves of Wind Turbines Using ε-SVR.- Glide Ratio Optimization for Wind Turbine Airfoils based on Genetic Algorithms.- Special Session on Data Selection in Machine Learning: Detecting Image Forgery Using Support Vector Machine and Texture Features.- Instance selection techniques for large volumes of data.

Intelligent Data Engineering and Automated Learning – IDEAL 2023

24th International Conference, Évora, Portugal, November 22–24, 2023, Proceedings

Produktinformation

Du kanske också är intresserad av

Experimental IR Meets Multilinguality, Multimodality, and Interaction

Intelligent Data Engineering and Automated Learning – IDEAL 2019

Intelligent Data Engineering and Automated Learning – IDEAL 2019

Intelligent Data Engineering and Automated Learning – IDEAL 2018

Intelligent Data Engineering and Automated Learning – IDEAL 2024

Intelligent Data Engineering and Automated Learning – IDEAL 2018

Intelligent Data Engineering and Automated Learning – IDEAL 2021

Computational Processing of the Portuguese Language

Intelligent Data Engineering and Automated Learning – IDEAL 2024

Intelligent Data Engineering and Automated Learning – IDEAL 2016

Tillhör följande kategorier

Innehållsförteckning

Akademibokhandeln

Akademibokhandeln

Hjälp

Hjälp

Tjänster

Tjänster

Erbjudanden

Erbjudanden

Inspiration

Inspiration