Table of Contents

• Deep Learning for the Detection of Frames of Interest in Fetal Heart Assessment from First Trimester UltrasoundRuxandra Stoean, Dominic Iliescu, Catalin Stoean, Vlad Ilie, Ciprian Patru, Mircea Hotoleanu, Rodica Nagy, Dan Ruican, Rares Trocan, Andreea Marcu, Miguel Atencia, Gonzalo Joya. 3-14 [doi]
• Deep Learning Based Neural Network for Six-Class-Classification of Alzheimer's Disease Stages Based on MRI ImagesTim Rörup, Ignacio Rojas, Héctor Pomares, Peter Glösekötter. 15-23 [doi]
• Detection of Tumor Morphology Mentions in Clinical Reports in Spanish Using TransformersGuillermo López-García, José M. Jerez, Nuria Ribelles, Emilio Alba, Francisco J. Veredas. 24-35 [doi]
• Enforcing Morphological Information in Fully Convolutional Networks to Improve Cell Instance Segmentation in Fluorescence Microscopy ImagesWillard Zamora-Cárdenas, Mauro Mendez, Saúl Calderón Ramírez, Martin Vargas, Gerardo Monge, Steve Quiros, David A. Elizondo, Jordina Torrents-Barrena, Miguel A. Molina-Cabello. 36-46 [doi]
• A Bayesian Classifier Combination Methodology for Early Detection of Endotracheal Obstruction of COVID-19 Patients in ICUFrancisco J. Suárez-Díaz, Juan L. Navarro-Mesa, Antonio G. Ravelo-García, Pablo Fernández López, Carmen Paz Suárez Araujo, Guillermo Pérez-Acosta, Luciano Santana-Cabrera. 49-60 [doi]
• Toward an Intelligent Computing Solution for Endotracheal Obstruction Prediction in COVID-19 Patients in ICUPablo Fernández López, Carmen Paz Suárez Araujo, Patricio García Báez, Francisco Suárez-Díaz, Juan L. Navarro-Mesa, Guillermo Pérez-Acosta, José Blanco-López. 61-73 [doi]
• Features Spaces with Reduced Variables Based on Nearest Neighbor Relations and Their InheritancesNaohiro Ishii, Kazunori Iwata 0001, Naoto Mukai, Kazuya Odagiri, Tokuro Matsuo. 77-88 [doi]
• High-Dimensional Data Clustering with Fuzzy C-Means: Problem, Reason, and SolutionYinghua Shen, Hanyu E, Tianhua Chen, Zhi Xiao, Bingsheng Liu, Yuan Chen. 89-100 [doi]
• Contrastive Explanations for Explaining Model AdaptationsAndré Artelt, Fabian Hinder, Valerie Vaquet, Robert Feldhans, Barbara Hammer. 101-112 [doi]
• Dimensionality Reduction: Is Feature Selection More Effective Than Random Selection?Laura Morán-Fernández, Verónica Bolón-Canedo. 113-125 [doi]
• Classification in Non-stationary Environments Using Coresets over Sliding WindowsMoritz Heusinger, Frank-Michael Schleif. 126-137 [doi]
• Deep Reinforcement Learning in VizDoom via DQN and Actor-Critic AgentsMaria Bakhanova, Ilya Makarov. 138-150 [doi]
• Adaptive Ant Colony Optimization for Service Function Chaining in a Dynamic 5G NetworkSegundo Moreno, Antonio Miguel Mora. 151-164 [doi]
• On the Use of Fuzzy Metrics for Robust Model Estimation: A RANSAC-Based ApproachAlberto Ortiz, Esaú Ortiz, Juan-José Miñana, Óscar Valero. 165-177 [doi]
• A New Detector Based on Alpha Integration Decision FusionAddisson Salazar, Gonzalo Safont, Nancy Vargas, Luis Vergara. 178-189 [doi]
• A Safe and Effective Tuning Technique for Similarity-Based Fuzzy Logic ProgramsGinés Moreno, José A. Riaza. 190-201 [doi]
• Predictive Ability of Response Surface Methodology (RSM) and Artificial Neural Network (ANN) to Approximate Biogas Yield in a Modular BiodigesterModestus O. Okwu, Lagouge Kwanda Tartibu, Olusegun D. Samuel, Henry O. Omoregbee, Anna E. Ivbanikaro. 202-215 [doi]
• Analysis of Electroencephalographic Signals from a Brain-Computer Interface for Emotions DetectionBeatriz García-Martínez, Antonio Fernández-Caballero 0001, Arturo Martínez-Rodrigo, Paulo Novais. 219-229 [doi]
• A Fine Dry-Electrode Selection to Characterize Event-Related Potentials in the Context of BCIVinicio Changoluisa, Pablo Varona, Francisco B. Rodríguez. 230-241 [doi]
• Detection of Emotions from Electroencephalographic Recordings by Means of a Nonlinear Functional Connectivity MeasureBeatriz García-Martínez, Antonio Fernández-Caballero 0001, Raúl Alcaraz, Arturo Martínez-Rodrigo. 242-252 [doi]
• P300 Characterization Through Granger Causal Connectivity in the Context of Brain-Computer Interface TechnologiesVanessa Salazar, Vinicio Changoluisa, Francisco B. Rodríguez. 253-264 [doi]
• Feature and Time Series Extraction in Artificial Neural Networks for Arousal Detection from Electrodermal ActivityRoberto Sánchez-Reolid, Francisco López de la Rosa, Daniel Sánchez-Reolid, María T. López, Antonio Fernández-Caballero 0001. 265-276 [doi]
• Context-Aware Graph Convolutional AutoencoderAsma Sattar, Davide Bacciu. 279-290 [doi]
• Development and Implementation of a Neural Network-Based Abnormal State Prediction System for a Piston PumpMauricio Andrés Gómez Zuluaga, Ahmad Ordikhani, Christoph Bauer, Peter Glösekötter. 291-302 [doi]
• Iterative Adaptation to Quantization NoiseDmitry Chudakov, Sergey Alyamkin, Alexander Goncharenko, Andrey Denisov. 303-310 [doi]
• A BERT Based Approach for Arabic POS TaggingRakia Saidi, Fethi Jarray, Mahmud Mansour. 311-321 [doi]
• Facial Expression Interpretation in ASD Using Deep LearningPablo Salgado, Oresti Banos, Claudia Villalonga. 322-333 [doi]
• Voxel-Based Three-Dimensional Neural Style TransferTimo Friedrich, Barbara Hammer, Stefan Menzel. 334-346 [doi]
• Rendering Scenes for Simulating Adverse Weather ConditionsPrithwish Sen, Anindita Das, Nilkanta Sahu. 347-358 [doi]
• Automatic Fall Detection Using Long Short-Term Memory NetworkCarlos Magalhães, João Ribeiro, Argentina Leite, E. J. Solteiro Pires, João Pavão. 359-371 [doi]
• Deep Convolutional Neural Networks with Residual Blocks for Wafer Map Defect Pattern RecognitionZemenu Endalamaw Amogne, Fu-Kwun Wang, Jia-Hong Chou. 372-384 [doi]
• Enhanced Convolutional Neural Network for Age EstimationIdowu Aruleba, Serestina Viriri. 385-394 [doi]
• Deep Interpretation with Sign Separated and Contribution Recognized DecompositionLucas Y. W. Hui, De Wen Soh. 395-406 [doi]
• Deep Learning for Age Estimation Using EfficientNetIdowu Aruleba, Serestina Viriri. 407-419 [doi]
• Towards a Deep Reinforcement Approach for Crowd Flow ManagementWejden Abdallah, Dalel Kanzari, Kurosh Madani. 420-431 [doi]
• Classification of Images as Photographs or Paintings by Using Convolutional Neural NetworksJosé Miguel López-Rubio, Miguel A. Molina-Cabello, Gonzalo Ramos-Jiménez, Ezequiel López-Rubio. 432-442 [doi]
• Parallel Corpora Preparation for English-Amharic Machine TranslationYohanens Biadgligne, Kamel Smaïli. 443-455 [doi]
• Fast Depth Reconstruction Using Deep Convolutional Neural NetworksDmitrii Maslov, Ilya Makarov. 456-467 [doi]
• A Study of the Correlation of Metafeatures Used for MetalearningAdriano Rivolli, Luís Paulo F. Garcia, Ana Carolina Lorena, André C. P. L. F. de Carvalho. 471-483 [doi]
• Learning Without Forgetting for 3D Point Cloud ObjectsTownim F. Chowdhury, Mahira Jalisha, Ali Cheraghian, Shafin Rahman. 484-497 [doi]
• Patch-Wise Semantic Segmentation of Sedimentation from High-Resolution Satellite Images Using Deep LearningTahmid Hasan Pranto, Abdulla All Noman, Asaduzzaman Noor, Ummeh Habiba Deepty, Rashedur M. Rahman. 498-509 [doi]
• Learning Image Segmentation from Few Annotations - A REPTILE ApplicationHéctor F. Satizábal, Andrés Pérez-Uribe. 510-522 [doi]
• Impacted Tooth Detection in Panoramic RadiographsJames Faure, Andries P. Engelbrecht. 525-536 [doi]
• Deep Learning for Diabetic Retinopathy PredictionCiro Rodriguez-Leon, William Arevalo, Oresti Banos, Claudia Villalonga. 537-546 [doi]
• Facial Image Augmentation from Sparse Line Features Using Small Training DataShih-Kai Hung, John Q. Gan. 547-558 [doi]
• Ensemble Models for Covid Prediction in X-Ray ImagesJuan Carlos Morales Vega, Francisco Carrillo-Perez, Jesús Toledano Pavón, Luis Javier Herrera Maldonado, Ignacio Rojas Ruiz. 559-569 [doi]
• Validation of a Nonintrusive Wearable Device for Distress Estimation During Robotic Roller Assisted GaitMarta Díaz Boladeras, Xavier Parra Llanas, Marta Musté, Elsa Pérez, Carlos Pérez, Alex Barco, Andreu Català. 570-582 [doi]
• Deep Learning for Heart Sounds Classification Using Scalograms and Automatic Segmentation of PCG SignalsJohn Gelpud, Silvia Castillo, Mario Jojoa, Begonya Garcia-Zapirain, Wilson Achicanoy, David Rodrigo. 583-596 [doi]
• Skin Disease Classification Using Machine Learning TechniquesMohammad Ashraful Haque Abir, Golam Kibria Anik, Shazid Hasan Riam, Mohammed Ariful Karim, Azizul Hakim Tareq, Rashedur M. Rahman. 597-608 [doi]
• Construction of Suitable DNN-HMM for Classification Between Normal and Abnormal RespirationMasaru Yamashita. 609-619 [doi]