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Pattern Recognition and Image Analysis

10th Iberian Conference, IbPRIA 2022, Aveiro, Portugal, May 4–6, 2022, Proceedings

  • Conference proceedings
  • © 2022

Overview

Editors:
  1. Armando J. Pinho

    1. University of Aveiro, Aveiro, Portugal

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  2. Petia Georgieva

    1. University of Aveiro, Aveiro, Portugal

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  3. Luís F. Teixeira

    1. University of Porto, Porto, Portugal

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  4. Joan Andreu Sánchez

    1. Universitat Politècnica de València, Valencia, Spain

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 13256)

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Conference proceedings info: IbPRIA 2022.

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About this book

This book constitutes the refereed proceedings of the 10th Iberian Conference on Pattern Recognition and Image Analysis, IbPRIA 2022, held in Aveiro, Portugal, in May 2022. 

The 54 papers accepted for these proceedings were carefully reviewed and selected from 72 submissions. They deal with document analysis; medical image processing; biometrics; pattern recognition and machine learning; computer vision; and other applications. 

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Table of contents (54 papers)

  1. Front Matter

    Pages i-xxvi
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  2. Document Analysis

    1. Front Matter

      Pages 1-1
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    2. Test Sample Selection for Handwriting Recognition Through Language Modeling

      • Adrian Rosello, Eric Ayllon, Jose J. Valero-Mas, Jorge Calvo-Zaragoza
      Pages 3-13

    3. Classification of Untranscribed Handwritten Notarial Documents by Textual Contents

      • Juan José Flores, Jose Ramón Prieto, David Garrido, Carlos Alonso, Enrique Vidal
      Pages 14-26

    4. Incremental Vocabularies in Machine Translation Through Aligned Embedding Projections

      • Salvador Carrión, Francisco Casacuberta
      Pages 27-40

    5. An Interactive Machine Translation Framework for Modernizing the Language of Historical Documents

      • Miguel Domingo, Francisco Casacuberta
      Pages 41-53

    6. From Captions to Explanations: A Multimodal Transformer-based Architecture for Natural Language Explanation Generation

      • Isabel Rio-Torto, Jaime S. Cardoso, Luís F. Teixeira
      Pages 54-65

  3. Medical Image Processing

    1. Front Matter

      Pages 67-67
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    2. Diagnosis of Skin Cancer Using Hierarchical Neural Networks and Metadata

      • Beatriz Alves, Catarina Barata, Jorge S. Marques
      Pages 69-80

    3. Lesion-Based Chest Radiography Image Retrieval for Explainability in Pathology Detection

      • João Pedrosa, Pedro Sousa, Joana Silva, Ana Maria Mendonça, Aurélio Campilho
      Pages 81-94

    4. Deep Learning for Diagnosis of Alzheimer’s Disease with FDG-PET Neuroimaging

      • José Bastos, Filipe Silva, Petia Georgieva
      Pages 95-107

    5. Deep Aesthetic Assessment and Retrieval of Breast Cancer Treatment Outcomes

      • Wilson Silva, Maria Carvalho, Carlos Mavioso, Maria J. Cardoso, Jaime S. Cardoso
      Pages 108-118

    6. Increased Robustness in Chest X-Ray Classification Through Clinical Report-Driven Regularization

      • Diogo Mata, Wilson Silva, Jaime S. Cardoso
      Pages 119-128

  4. Medical Applications

    1. Front Matter

      Pages 129-129
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    2. Deep Detection Models for Measuring Epidermal Bladder Cells

      • Angela Casado-García, Aitor Agirresarobe, Jon Miranda-Apodaca, Jónathan Heras, Usue Pérez-López
      Pages 131-142

    3. On the Performance of Deep Learning Models for Respiratory Sound Classification Trained on Unbalanced Data

      • Carlos Castorena, Francesc J. Ferri, Maximo Cobos
      Pages 143-155

    4. Automated Adequacy Assessment of Cervical Cytology Samples Using Deep Learning

      • Vladyslav Mosiichuk, Paula Viana, Tiago Oliveira, Luís Rosado
      Pages 156-170

    5. Exploring Alterations in Electrocardiogram During the Postoperative Pain

      • Daniela Pais, Susana Brás, Raquel Sebastião
      Pages 171-181

    6. Differential Gene Expression Analysis of the Most Relevant Genes for Lung Cancer Prediction and Sub-type Classification

      • Bernardo Ramos, Tania Pereira, Francisco Silva, José Luis Costa, Hélder P. Oliveira
      Pages 182-191

    7. Detection of Epilepsy in EEGs Using Deep Sequence Models – A Comparative Study

      • Miguel Marques, Catarina da Silva Lourenço, Luís F. Teixeira
      Pages 192-203
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Other volumes

  1. Pattern Recognition and Image Analysis

Editors and Affiliations

  • University of Aveiro, Aveiro, Portugal

    Armando J. Pinho, Petia Georgieva

  • University of Porto, Porto, Portugal

    Luís F. Teixeira

  • Universitat Politècnica de València, Valencia, Spain

    Joan Andreu Sánchez

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