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ORCIDIWANN 2021, Virtual Event
- Ignacio Rojas
, Gonzalo Joya, Andreu Català:
Advances in Computational Intelligence - 16th International Work-Conference on Artificial Neural Networks, IWANN 2021, Virtual Event, June 16-18, 2021, Proceedings, Part I. Lecture Notes in Computer Science 12861, Springer 2021, ISBN 978-3-030-85029-6
Information Fusion in Deep Learning for Biomedicine
- Ruxandra Stoean, Dominic Iliescu, Catalin Stoean, Vlad Ilie, Ciprian Patru, Mircea Hotoleanu, Rodica Nagy, Dan Ruican, Rares Trocan, Andreea Marcu, Miguel A. Atencia Ruiz, Gonzalo Joya:
Deep Learning for the Detection of Frames of Interest in Fetal Heart Assessment from First Trimester Ultrasound. 3-14 - Tim Rörup, Ignacio Rojas, Héctor Pomares, Peter Glösekötter:
Deep Learning Based Neural Network for Six-Class-Classification of Alzheimer's Disease Stages Based on MRI Images. 15-23 - Guillermo López-García, José M. Jerez, Nuria Ribelles, Emilio Alba, Francisco J. Veredas:
Detection of Tumor Morphology Mentions in Clinical Reports in Spanish Using Transformers. 24-35 - Willard Zamora-Cárdenas, Mauro Mendez, Saúl Calderón Ramírez, Martin Vargas, Gerardo Monge, Steve Quirós, David A. Elizondo, Jordina Torrents-Barrena, Miguel A. Molina-Cabello:
Enforcing Morphological Information in Fully Convolutional Networks to Improve Cell Instance Segmentation in Fluorescence Microscopy Images. 36-46
Intelligent Computing Solutions for SARS-CoV-2 Covid-19 (INClutions COVID-19)
- Francisco J. Suárez-Díaz, Juan L. Navarro-Mesa, Antonio G. Ravelo-García, Pablo Fernández López, Carmen Paz Suárez Araujo, Guillermo Pérez-Acosta, Luciano Santana-Cabrera:
A Bayesian Classifier Combination Methodology for Early Detection of Endotracheal Obstruction of COVID-19 Patients in ICU. 49-60 - Pablo Fernández López, Carmen Paz Suárez Araujo, Patricio García Báez, Francisco J. Suárez-Díaz, Juan L. Navarro-Mesa, Guillermo Pérez-Acosta, José Blanco-López:
Toward an Intelligent Computing Solution for Endotracheal Obstruction Prediction in COVID-19 Patients in ICU. 61-73
Advanced Topics in Computational Intelligence
- Naohiro Ishii, Kazunori Iwata, Naoto Mukai, Kazuya Odagiri, Tokuro Matsuo:
Features Spaces with Reduced Variables Based on Nearest Neighbor Relations and Their Inheritances. 77-88 - Yinghua Shen, Hanyu E, Tianhua Chen, Zhi Xiao, Bingsheng Liu, Yuan Chen:
High-Dimensional Data Clustering with Fuzzy C-Means: Problem, Reason, and Solution. 89-100 - André Artelt, Fabian Hinder, Valerie Vaquet, Robert Feldhans, Barbara Hammer:
Contrastive Explanations for Explaining Model Adaptations. 101-112 - Laura Morán-Fernández, Verónica Bolón-Canedo:
Dimensionality Reduction: Is Feature Selection More Effective Than Random Selection? 113-125 - Moritz Heusinger, Frank-Michael Schleif:
Classification in Non-stationary Environments Using Coresets over Sliding Windows. 126-137 - Maria Bakhanova, Ilya Makarov:
Deep Reinforcement Learning in VizDoom via DQN and Actor-Critic Agents. 138-150 - Segundo Moreno, Antonio Miguel Mora:
Adaptive Ant Colony Optimization for Service Function Chaining in a Dynamic 5G Network. 151-164 - Alberto Ortiz, Esaú Ortiz, Juan-José Miñana, Óscar Valero:
On the Use of Fuzzy Metrics for Robust Model Estimation: A RANSAC-Based Approach. 165-177 - Addisson Salazar, Gonzalo Safont, Nancy Vargas, Luis Vergara:
A New Detector Based on Alpha Integration Decision Fusion. 178-189 - Ginés Moreno, José A. Riaza:
A Safe and Effective Tuning Technique for Similarity-Based Fuzzy Logic Programs. 190-201 - Modestus O. Okwu, Lagouge Kwanda Tartibu, Olusegun David Samuel, Henry O. Omoregbee, Anna E. Ivbanikaro:
Predictive Ability of Response Surface Methodology (RSM) and Artificial Neural Network (ANN) to Approximate Biogas Yield in a Modular Biodigester. 202-215
Biosignals Processing
- Beatriz García-Martínez, Antonio Fernández-Caballero, Arturo Martínez-Rodrigo, Paulo Novais:
Analysis of Electroencephalographic Signals from a Brain-Computer Interface for Emotions Detection. 219-229 - Vinicio Changoluisa, Pablo Varona, Francisco B. Rodríguez:
A Fine Dry-Electrode Selection to Characterize Event-Related Potentials in the Context of BCI. 230-241 - Beatriz García-Martínez, Antonio Fernández-Caballero, Raúl Alcaraz, Arturo Martínez-Rodrigo:
Detection of Emotions from Electroencephalographic Recordings by Means of a Nonlinear Functional Connectivity Measure. 242-252 - Vanessa Salazar, Vinicio Changoluisa, Francisco B. Rodríguez:
P300 Characterization Through Granger Causal Connectivity in the Context of Brain-Computer Interface Technologies. 253-264 - Roberto Sánchez-Reolid, Francisco López de la Rosa, Daniel Sánchez-Reolid, María T. López, Antonio Fernández-Caballero:
Feature and Time Series Extraction in Artificial Neural Networks for Arousal Detection from Electrodermal Activity. 265-276
Deep Learning
- Asma Sattar, Davide Bacciu:
Context-Aware Graph Convolutional Autoencoder. 279-290 - Mauricio Andrés Gómez Zuluaga, Ahmad Ordikhani, Christoph Bauer, Peter Glösekötter:
Development and Implementation of a Neural Network-Based Abnormal State Prediction System for a Piston Pump. 291-302 - Dmitry Chudakov, Sergey Alyamkin, Alexander Goncharenko, Andrey Denisov:
Iterative Adaptation to Quantization Noise. 303-310 - Rakia Saidi, Fethi Jarray, Mahmud Mansour:
A BERT Based Approach for Arabic POS Tagging. 311-321 - Pablo Salgado, Oresti Banos, Claudia Villalonga:
Facial Expression Interpretation in ASD Using Deep Learning. 322-333 - Timo Friedrich, Barbara Hammer, Stefan Menzel:
Voxel-Based Three-Dimensional Neural Style Transfer. 334-346 - Prithwish Sen, Anindita Das, Nilkanta Sahu:
Rendering Scenes for Simulating Adverse Weather Conditions. 347-358 - Carlos Magalhães, João Ribeiro, Argentina Leite, E. J. Solteiro Pires, João Pavão:
Automatic Fall Detection Using Long Short-Term Memory Network. 359-371 - Zemenu Endalamaw Amogne, Fu-Kwun Wang, Jia-Hong Chou:
Deep Convolutional Neural Networks with Residual Blocks for Wafer Map Defect Pattern Recognition. 372-384 - Idowu Aruleba, Serestina Viriri:
Enhanced Convolutional Neural Network for Age Estimation. 385-394 - Lucas Y. W. Hui, De Wen Soh:
Deep Interpretation with Sign Separated and Contribution Recognized Decomposition. 395-406 - Idowu Aruleba, Serestina Viriri:
Deep Learning for Age Estimation Using EfficientNet. 407-419 - Wejden Abdallah, Dalel Kanzari, Kurosh Madani:
Towards a Deep Reinforcement Approach for Crowd Flow Management. 420-431 - José Miguel López-Rubio, Miguel A. Molina-Cabello, Gonzalo Ramos-Jiménez, Ezequiel López-Rubio:
Classification of Images as Photographs or Paintings by Using Convolutional Neural Networks. 432-442 - Yohannes Biadgligne, Kamel Smaïli:
Parallel Corpora Preparation for English-Amharic Machine Translation. 443-455 - Dmitrii Maslov, Ilya Makarov:
Fast Depth Reconstruction Using Deep Convolutional Neural Networks. 456-467
Meta-Learning and Other Automatic Learning Approaches in Intelligent Systems
- Adriano Rivolli, Luís Paulo F. Garcia, Ana Carolina Lorena, André C. P. L. F. de Carvalho:
A Study of the Correlation of Metafeatures Used for Metalearning. 471-483 - Townim F. Chowdhury, Mahira Jalisha, Ali Cheraghian, Shafin Rahman:
Learning Without Forgetting for 3D Point Cloud Objects. 484-497 - Tahmid Hasan Pranto, Abdulla All Noman, Asaduzzaman Noor, Ummeh Habiba Deepty, Rashedur M. Rahman:
Patch-Wise Semantic Segmentation of Sedimentation from High-Resolution Satellite Images Using Deep Learning. 498-509 - Héctor F. Satizábal, Andrés Pérez-Uribe:
Learning Image Segmentation from Few Annotations - A REPTILE Application. 510-522
Artificial Intelligence and Biomedicine
- James Faure, Andries P. Engelbrecht:
Impacted Tooth Detection in Panoramic Radiographs. 525-536 - Ciro Rodriguez-Leon, William Arevalo, Oresti Banos, Claudia Villalonga:
Deep Learning for Diabetic Retinopathy Prediction. 537-546 - Shih-Kai Hung, John Q. Gan:
Facial Image Augmentation from Sparse Line Features Using Small Training Data. 547-558 - Juan Carlos Morales Vega, Francisco Carrillo-Perez, Jesús Toledano Pavón, Luis Javier Herrera Maldonado, Ignacio Rojas Ruiz:
Ensemble Models for Covid Prediction in X-Ray Images. 559-569 - Marta Díaz Boladeras, Xavier Parra Llanas, Marta Musté, Elsa Pérez, Carlos Pérez, Alex Barco, Andreu Català:
Validation of a Nonintrusive Wearable Device for Distress Estimation During Robotic Roller Assisted Gait. 570-582 - John Gelpud, Silvia Castillo, Mario Jojoa, Begonya Garcia-Zapirain, Wilson Achicanoy, David Rodrigo:
Deep Learning for Heart Sounds Classification Using Scalograms and Automatic Segmentation of PCG Signals. 583-596 - Mohammad Ashraful Haque Abir, Golam Kibria Anik, Shazid Hasan Riam, Mohammed Ariful Karim, Azizul Hakim Tareq, Rashedur M. Rahman:
Skin Disease Classification Using Machine Learning Techniques. 597-608 - Masaru Yamashita:
Construction of Suitable DNN-HMM for Classification Between Normal and Abnormal Respiration. 609-619
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