May 18, 2017

Virtual presentations

IWANN 2021. Video Virtual Presentations

Wednesday, June 16th 2021

(9:00-10:10) Session 1: 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 Atencia and Gonzalo Joya. Deep Learning for the Detection of Frames of Interest in Fetal Heart Assessment from First Trimester Ultrasound


  • Tim Roerup, Peter Gloesekoetter, Hector Pomares and Ignacio Rojas Ruiz. Deep Learning Based Neural Network for Six-Class-Classification of Alzheimer’s Disease Stages Based on MRI Images


  • Guillermo López-García, Jose M. Jerez, Nuria Ribelles, Emilio Alba and Francisco J. Veredas. Detection of Tumor Morphology Mentions in Clinical Reports in Spanish Using Transformers


  • Willard Zamora-Cardenas, Mauro Mendez, Saul Calderon-Ramirez, Martin Vargas, Gerardo Monge, Steve Quiros, David Elizondo, Jordina Torrents-Barrena and Miguel A. Molina-Cabello. Enforcing Morphological Information in Fully Convolutional Networks to Improve Cell Instance Segmentation in Fluorescence Microscopy Images


(10:15-11:00) Session 2: 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 and Luciano Santana-Cabrera. A Bayesian Classifier Combination Methodology forEarly Detection of Endotracheal Obstruction of COVID-19 Patients in ICU


  • Pablo Fernández-López, Carmen Paz Suárez-Araujo, Patricio García-Báez, Francisco Suárez-Díaz, Juan L. Navarro-Mesa, Guillermo Pérez-Acosta and José Blanco-López. Toward an Intelligent Computing Solution for Endothraqueal Obstruction Prediction in COVID-19 Patients in ICU


  • Jose Bermudez Castro, Jose Ruiz, Pedro Achanccaray Diaz, Smith Arauco Canchumuni, Cristian Muñoz Villalobos, Felipe Borges Coelho, Leonardo Forero Mendoza and Marco Aurelio Pacheco. A free web service for fast COVID-19classification of chest X-Ray images


(11:05-12:30) Session 3: Advanced topics in computational intelligence (Part.I)

  • Naohiro Ishii, Kazunori Iwata, Naoto Mukai, Kazuya Odagiri and Tokuro Matsuo. Features Spaces with Reduced Variables Based on Nearest Neighbor Relations and their Inheritances


  • Yinghua Shen, Hanyu E, Yuan Chen and Bingsheng Liu. High-dimensional data clustering with Fuzzy C-Means: problem, reason, and solution


  • André Artelt, Fabian Hinder, Valerie Vaquet, Robert Feldhans and Barbara Hammer. Contrastive Explanations for Explaining Model Adaptations


  • Laura Morán-Fernández and Verónica Bolón-Canedo. Dimensionality reduction: is feature selection more effective than random selection?


  • Moritz Heusinger and Frank-Michael Schleif. Classification in Non-Stationary Environments Using Coresets Over Sliding Windows


(12:30-14:00) Session 4: Applications in artificial intelligence (Part. I)

  • Alberto Sosa, Ylermi Cabrera-León, Pablo Fernandéz-López, Patricio García, Juan Luis Navarro-Mesa and Carmen Paz Suárez-Araujo. Detection of Alzheimer’s Disease versus Mild Cognitive Impairment using a New Modular Hybrid Neural Network


  • Mario Gonzalez, Angel Sanchez, David Dominguez and Francisco de Borja Rodriguez. Fine-tuning of patterns assignment to subnetworks increases the capacity of an attractor network ensemble


  • Silvia Cateni, Valentina Colla and Marco Vannucci. A combined approach for enhancing the stability of the variable selection stage in binary classification tasks


  • Catalin Stoean, Leonardo Ionescu, Ruxandra Stoean, Marinela Boicea, Miguel Atencia and Gonzalo Joya. A convolutional neural network as a proxy for the XRF approximation of the chemical composition of archaeological artefacts in the presence of inter-microscope variability


  • Fernando Puentes Marchal, María Dolores Pérez Godoy, Pedro Gonzalez and Maria Jose Del Jesus. Implementation of Data Stream Classification Neural Network Models over Big Data Platforms


  • Javier Lorenzo-Navarro, Silvia Serranti, Giuseppe Bonifazi and Giuseppe Capobianco. Performance Evaluation of Classical Classifiers and Deep Learning Approaches for Polymers Classification based on Hyperspectral Images


  • Boris Tseytlin and Ilya Makarov. Hotel Recognition via Latent Image Embeddings


(16:00-16:55) Session 5: Biosignals Processing

  • Beatriz García Martínez, Antonio Fernández-Caballero, Arturo Martínez-Rodrigo and Paulo Novais. Analysis of Electroencephalographic Signals from a Brain-Computer Interface for Emotions Detection


  • Vinicio Changoluisa, Pablo Varona and Francisco de Borja Rodriguez. A fine dry-electrode selection to characterize event-related potentials in the context of BCI


  • Beatriz García Martínez, Antonio Fernández-Caballero, Raúl Alcaraz and Arturo Martínez-Rodrigo. Detection of Emotions from Electroencephalographic Recordings by means of a Nonlinear Functional Connectivity Measure


  • Vanessa Salazar, Vinicio Changoluisa and Francisco de Borja Rodriguez. P300 Characterization through Granger Causal Connectivity in the context of Brain-Computer Interface technologies


  • Roberto Sánchez-Reolid, Francisco López de la Rosa, Daniel Sánchez-Reolid, Maria T. Lopez and Antonio Fernández-Caballero. Feature and Time Series Extraction in ArtificialNeural Networks for Arousal Detection from Electrodermal Activity


(18:10-19:45) Session 6: Deep Learning (Part. I)

  • Asma Sattar and Davide Bacciu. Context-aware Graph Convolutional Autoencoder


  • Mauricio Andrés Gómez Zuluaga, Ahmad Ordikhani, Christoph Bauer and Peter Gloesekoetter. Development and implementation of a neural network-based abnormal state prediction system for a piston pump


  • Dmitry Chudakov, Sergey Alyamkin, Alexander Goncharenko and Andrey Denisov. Iterative adaptation to quantization noise


  • Rakia Saidi and Fethi Jarray. A BERT based approach for Arabic POS Tagging


  • Pablo Salgado, Oresti Banos and Claudia Villalonga. Facial expression interpretation in ASD using Deep Learning


  • Timo Friedrich, Barbara Hammer and Stefan Menzel. Voxel-based Three-dimensional Neural Style Transfer


  • Prithwish Sen, Anindita Das and Nilkanta Sahu. Rendering Scenes for Simulating Adverse Weather Conditions


  • Carlos Magalhães, João Ribeiro, Argentina Leite, Eduardo Solteiro Pires and João Pavão. Automatic Fall Detection using Long Short-Term Memory Network


  • Zemenu Endalamaw Amogne, Fu-Kwun Wang and Jia-Hong Chou. Deep Convolutional Neural Networks with Residual Blocks for Wafer Map Defect Pattern Recognition


Thursday, June 17th, 2021

(9:00-10:30) Session 7: Advanced topics in computational intelligence (Part.II)

  • Maria Bakhanova and Ilya Makarov. Deep Reinforcement Learning in VizDoom via DQN and Actor-Critic Agents


  • Segundo Moreno and Antonio Mora. Adaptive Ant Colony Optimization for Service Function Chaining in a Dynamic 5G Network


  • Alberto Ortiz, Esaú Ortiz, Juan José Miñana and Óscar Valero. On the Use of Fuzzy Metrics for Robust Model Estimation: a RANSAC-based Approach


  • Addisson Salazar, Gonzalo Safont, Nancy Vargas and Luis Vergara. A New Detector Based On Alpha Integration Decision Fusion


  • Gines Moreno and José Antonio Riaza Valverde. A Safe and Effective Tuning Technique for Similarity-based Fuzzy Logic Programs


  • Modestus Okwu, Lagouge Tartibu, Olusegun Samuel, Henry Omoregbee and Anna Ivbanikaro. Predictive ability of Response Surface Methodology (RSM) and Artificial Neural Network (ANN) to approximate biogas yield in a Modular biodigester


(10:35-11:25) Session 8: Meta-learning and other automatic learning approaches in intelligent systems

  • Adriano Rivolli, Luis Garcia, Ana Lorena and Andre Carvalho. A study of the correlation of metafeatures used for metalearning


  • Townim Chowdhury, Mahira Jalisha, Ali Cheraghian and Shafin Rahman. Learning without Forgetting for 3D Point Cloud Objects


  • Mohammad Rashedur Rahman. Patch-wise semantic segmentation of sedimentation from high-resolution satellite images using deep learning


  • Hector F. Satizabal and Andres Perez-Uribe. Learning Image Segmentation from Few Annotations. A REPTILE Application


(11:30-12:55) Session 9: Artificial intelligence and Biomedicine

  • James Faure and Andries Engelbrecht. Impacted Tooth Detection in Panoramic Radiographs


  • Ciro Rodriguez-Leon, William Arevalo, Oresti Banos and Claudia Villalonga. Deep learning for diabetic retinopathy prediction


  • Shih-Kai Hung and John Gan. Facial Image Augmentation from Sparse Line Features Using Small Training Data


  • Juan Carlos Morales Vega, Francisco Carrillo-Perez, Jesús Toledano Pavón, Ignacio Rojas Ruiz and Luis Javier Herrera Maldonado. Ensemble models for covid prediction in X-Ray images


  • Marta Díaz-Boladeras, Xavier Llanas, Elsa Pérez, Marta Musté, Carlos Pérez, Àlex Barco and Andreu Català. Validation of a Nonintrusive Wearable Device for Distress Estimation During Robotic Roller Assisted Gait


  • John Gelpud, Silvia Castillo, Mario Jojoa, Begonya Garcia, Wilson Achicanoy and David Carbonero. Deep Learning for Heart Sounds Classification using Scalograms and Automatic Segmentation of PCG Signals


  • Mohammad Rashedur Rahman. Skin Disease Classification Using Machine Learning Techniques


  • Masaru Yamashita. Construction of Suitable DNN-HMM for Classification between Normal and Abnormal Respiration


(16:00-17:00) Session 10: Applications in artificial intelligence (Part. II)

  • Federico Succetti, Andrea Ceschini, Francesco Di Luzio, Antonello Rosato and Massimo Panella. Time Series Prediction with Autoencoding LSTM Networks


  • Roberto Amoroso, Lorenzo Baraldi and Rita Cucchiara. Improving Indoor Semantic Segmentation with Boundary-level Objectives


  • Luis Liñán-Villafranca, Mario Garcia Valdez, Jj Merelo and Pedro Castillo. EvoMLP: a framework for evolving multilayer perceptrons


  • Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas and Beatriz Pérez-Sánchez. Regularized One-Layer Neural Networks for Distributed and Incremental Environments


  • Abbassa Nadira, Amir Abdessamad and Bahri Sidi Mohamed. The Jacobi wavelets regularization for support vector machines


  • Elsa Pérez, José E. Torres Rangel, Marta Musté, Carlos Pérez, Oscar Macho, Francisco S. del Corral Guijarro, Aris Somoano, Cristina Giamella, Luis Ramírez and Andreu Català. Frailty level prediction in older age using hand grip strength functions over time


(18:10-19:30) Session 11: Deep Learning (Part. II)

  • Idowu Aruleba and Serestina Viriri. Enhanced Convolutional Neural Network for Age Estimation


  • Lucas Y W Hui and De Wen Soh. Deep Interpretation with Sign Separated and Contribution Recognized Decomposition


  • Idowu Aruleba and Serestina Viriri. Deep Learning for Age Estimation Using EfficientNet


  • Wejden Abdallah, Dalel Kanzari and Kurosh Madani. Towards a Deep Reinforcement Approach for Crowd Flow Management


  • Jose Miguel Lopez-Rubio, Miguel A. Molina-Cabello, Gonzalo Ramos-Jimenez and Ezequiel López-Rubio. Classification of images as photographs or paintings by using convolutional neural networks


  • Yohannes Biadgligne and Kamel Smaili. Parallel Corpora Preparation for English-Amharic Machine Translation


  • Dmitrii Maslov and Ilya Makarov. Fast Depth Reconstruction using Deep Convolutional Neural Networks


(19:30-20:15) Session 12: Convolutional neural networks: beyond traditional solutions

  • Javier Barbero-Gómez, Pedro Antonio Gutiérrez and César Hervás-Martínez. Error-correcting output codes in the framework of deep ordinal classification


  • Irina Perfilieva and David Adamczyk. Features as Keypoints and How Fuzzy Transforms Retrieve Them


  • Anna Beketova and Ilya Makarov. Instagram Hashtag Prediction using Deep Neural Networks


Friday, June 18th, 2021

(9:00-10:10) Session 13: Bio-inspired systems and neuro-engineering

  • Nicolás J. Gallego, Marco Formoso, Andrés Ortiz, Francisco J. Martinez-Murcia and Juan L. Luque. Temporal EigenPAC for dyslexia diagnosis


  • Enrique Piñero-Fuentes, Salvador Canas-Moreno, Alejandro Linares-Barranco, Antonio Rios-Navarro and Tobi Delbruck. Autonomous Driving of a Rover-like Robot using Neuromorphic Computing


  • Piotr Stawicki, Aya Rezeika and Ivan Volosyak. Effects of Training on BCI Accuracy in SSMVEP-based BCI


  • Blanca Berbel Fernández, Alicia Garrido, Irene Elices, Roberto Latorre and Pablo Varona. Effect of electrical synapses in the cycle-by-cycle period and burst duration of central pattern generators


  • Marina Sparvoli, Jonas Marma, Gabriel Nunes and Fábio Jorge. Operation of neuronal membrane simulator circuit for tests with memristor based on graphene and graphene oxide


(10:15-11:35) Session 14: Applications in artificial intelligence (Part. III)

  • Vincenzo D’Amato, Erica Volta, Luca Oneto, Gualtiero Volpe, Antonio Camurri and Davide Anguita. Accuracy and Intrusiveness in Data-Driven Violin Players Skill Levels Prediction: MOCAP against MYO against KINECT


  • Carlos Alfredo Silva Villafuerte, Rodolfo Valentin García Bermudez and Eduardo Casilari Pérez. Features selection for fall detection systems based on machine learning and accelerometer signals


  • Antonio Manuel Burgueño Romero, Jose Raul Ruiz Sarmiento and Javier Gonzalez Jimenez. Autonomous Docking of Mobile Robots by Reinforcement Learning Tackling the Sparse Reward Problem


  • Alejandro Bastidas, Juan Carlos Velez Díaz, Winston Percybrooks, Alexander Ortega, Jacobo Ruano and Mario Jojoa. A Pisum Sativum L. (Pea) Leaves Image Dataset: Collection, Protocol, and Machine Learning Algorithms


  • Dirk Zinkhan, Sven Eiermann, Christina Kluever and Juergen Kluever. Decision Support Systems for Air Traffic Control with Self-Enforcing Networks based on Weather Forecast and Reference Types for the Direction of Operation


  • Faisal Saleem S Alraddadi, Luis F. Lago-Fernández and Francisco B. Rodríguez. Impact of minority class variability on anomaly detection by means of Random Forests and Support Vector Machines


  • Mohammad Rashedur Rahman. Analyzing the Land Cover Change and Degradation in Sundarbans Mangrove Forest using Machine Learning and Remote Sensing Technique


(11:40-12:40) Session 15: Agent-based models for policy design towards a more sustainable world

  • Patrycja Antosz, Wander Jager, J. Gareth Polhill and Douglas Salt. Informing agent-based models of social innovation uptake


  • Gary Polhill, Doug Salt, Tony Craig, Ruth Wilson and Kathryn Colley. Sensitivity analysis of an empirical agent-based model of district heating network adoption


  • Amparo Alonso-Betanzos, Bertha Guijarro-Berdiñas, Alejandro Rodríguez Arias and Noelia Sanchez-Maroño. Generating a synthetic population of agents through decision trees and socio demographic data


(12:45-13:45) Session 16: Randomization in Deep Learning

  • Peter Steiner, Azarakhsh Jalalvand and Peter Birkholz. Improved Acoustic Modeling for Automatic Piano Music Transcription using Echo State Networks


  • Antonello Rosato, Massimo Panella, Evgeny Osipov and Denis Kleyko. On Effects of Compression with Hyperdimensional Computing in Distributed Randomized Neural Networks


  • Davide Bacciu, Daniele Di Sarli, Claudio Gallicchio, Alessio Micheli and Niccolò Puccinelli. Benchmarking Reservoir and Recurrent Neural Networks for Human State and Activity Recognition


(15:30-16:15) Session 17: Neural Networks for Time Series Forecasting

  • Stefan Van Deventer and Andries Engelbrecht. Learning to Trade from Zero-Knowledge using Particle Swarm Optimization


  • Grzegorz Dudek. Randomized Neural Networks for Forecasting Time Series with Multiple Seasonality


  • Stanislaw Osowski. Prediction of air pollution using LSTM