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IWANN 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 II. Lecture Notes in Computer Science 12862, Springer 2021, ISBN 978-3-030-85098-2
Convolutional Neural Networks: Beyond Traditional Solutions
- Javier Barbero-Gómez, Pedro Antonio Gutiérrez, César Hervás-Martínez:
Error-Correcting Output Codes in the Framework of Deep Ordinal Classification. 3-13 - Irina Perfilieva, David Adamczyk:
Features as Keypoints and How Fuzzy Transforms Retrieve Them. 14-27 - Anna Beketova, Ilya Makarov:
Instagram Hashtag Prediction Using Deep Neural Networks. 28-42
Bio-inspired Systems and Neuro-Engineering
- Nicolás Gallego-Molina, Marco A. Formoso, Andrés Ortiz, Francisco Jesús Martínez-Murcia, Juan Luis Luque:
Temporal EigenPAC for Dyslexia Diagnosis. 45-56 - Enrique Piñero-Fuentes, Salvador Canas-Moreno, Antonio Rios-Navarro, Tobi Delbrück, Alejandro Linares-Barranco:
Autonomous Driving of a Rover-Like Robot Using Neuromorphic Computing. 57-68 - Piotr Stawicki, Aya Rezeika, Ivan Volosyak:
Effects of Training on BCI Accuracy in SSMVEP-based BCI. 69-80 - Blanca Berbel, Alicia Garrido-Peña, Irene Elices, Roberto Latorre, Pablo Varona:
Effect of Electrical Synapses in the Cycle-by-Cycle Period and Burst Duration of Central Pattern Generators. 81-92 - Marina Sparvoli, Jonas S. Marma, Gabriel F. Nunes, Fábio O. Jorge:
Operation of Neuronal Membrane Simulator Circuit for Tests with Memristor Based on Graphene and Graphene Oxide. 93-102
Agent-Based Models for Policy Design Towards a More Sustainable World
- Patrycja Antosz, Wander Jager, Gary Polhill, Douglas Salt:
Informing Agent-Based Models of Social Innovation Uptake. 105-117 - Gary Polhill, Doug Salt, Tony Craig, Ruth Wilson, Kathryn Colley:
Sensitivity Analysis of an Empirical Agent-Based Model of District Heating Network Adoption. 118-127 - Amparo Alonso-Betanzos, Bertha Guijarro-Berdiñas, Alejandro Rodríguez-Arias, Noelia Sánchez-Maroño:
Generating a Synthetic Population of Agents Through Decision Trees and Socio Demographic Data. 128-140
Randomization in Deep Learning
- Peter Steiner, Azarakhsh Jalalvand, Peter Birkholz:
Improved Acoustic Modeling for Automatic Piano Music Transcription Using Echo State Networks. 143-154 - Antonello Rosato, Massimo Panella, Evgeny Osipov, Denis Kleyko:
On Effects of Compression with Hyperdimensional Computing in Distributed Randomized Neural Networks. 155-167 - Davide Bacciu, Daniele Di Sarli, Claudio Gallicchio, Alessio Micheli, Niccolò Puccinelli:
Benchmarking Reservoir and Recurrent Neural Networks for Human State and Activity Recognition. 168-179
Neural Networks for Time Series Forecasting
- Stefan van Deventer, Andries P. Engelbrecht:
Learning to Trade from Zero-Knowledge Using Particle Swarm Optimization. 183-195 - Grzegorz Dudek:
Randomized Neural Networks for Forecasting Time Series with Multiple Seasonality. 196-207 - Stanislaw Osowski:
Prediction of Air Pollution Using LSTM. 208-219
Applications in Artificial Intelligence
- Alberto Sosa-Marrero, Ylermi Cabrera-León, Pablo Fernández López, Patricio García Báez, Juan Luis Navarro Mesa, Carmen Paz Suárez Araujo:
Detection of Alzheimer's Disease Versus Mild Cognitive Impairment Using a New Modular Hybrid Neural Network. 223-235 - Mario González, Ángel Sánchez, David Dominguez, Francisco B. Rodríguez:
Fine-Tuning of Patterns Assignment to Subnetworks Increases the Capacity of an Attractor Network Ensemble. 236-247 - Silvia Cateni, Valentina Colla, Marco Vannucci:
A Combined Approach for Enhancing the Stability of the Variable Selection Stage in Binary Classification Tasks. 248-259 - Catalin Stoean, Leonard Ionescu, Ruxandra Stoean, Marinela Boicea, Miguel A. Atencia Ruiz, 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. 260-271 - Fernando Puentes-Marchal, María Dolores Pérez-Godoy, Pedro González, María José del Jesus:
Implementation of Data Stream Classification Neural Network Models Over Big Data Platforms. 272-280 - Boris Tseytlin, Ilya Makarov:
Hotel Recognition via Latent Image Embeddings. 293-305 - Federico Succetti, Andrea Ceschini, Francesco Di Luzio, Antonello Rosato, Massimo Panella:
Time Series Prediction with Autoencoding LSTM Networks. 306-317 - Roberto Amoroso, Lorenzo Baraldi, Rita Cucchiara:
Improving Indoor Semantic Segmentation with Boundary-Level Objectives. 318-329 - Luis Liñán-Villafranca, Mario García-Valdez, Juan Julián Merelo, Pedro Ángel Castillo Valdivieso:
EvoMLP: A Framework for Evolving Multilayer Perceptrons. 330-342 - Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas, Beatriz Pérez-Sánchez:
Regularized One-Layer Neural Networks for Distributed and Incremental Environments. 343-355 - Elsa Pérez, Jose E. Torres Rangel, Marta Musté, Carlos Pérez, Oscar Macho, Francisco S. del Corral Guijarro, Aris Somoano, Cristina Gianella, Luis Ramírez, Andreu Català:
Frailty Level Prediction in Older Age Using Hand Grip Strength Functions Over Time. 356-366 - Vincenzo Stefano D'Amato, Erica Volta, Luca Oneto, Gualtiero Volpe, Antonio Camurri, Davide Anguita:
Accuracy and Intrusiveness in Data-Driven Violin Players Skill Levels Prediction: MOCAP Against MYO Against KINECT. 367-379 - Carlos A. Silva, Rodolfo García-Bermúdez, Eduardo Casilari:
Features Selection for Fall Detection Systems Based on Machine Learning and Accelerometer Signals. 380-391 - A. M. Burgueño-Romero, J. R. Ruiz-Sarmiento, Javier González Jiménez:
Autonomous Docking of Mobile Robots by Reinforcement Learning Tackling the Sparse Reward Problem. 392-403 - Dirk Zinkhan, Sven Eiermann, Christina Klüver, Jürgen Klüver:
Decision Support Systems for Air Traffic Control with Self-enforcing Networks Based on Weather Forecast and Reference Types for the Direction of Operation. 404-415 - Faisal Saleem Alraddadi, Luis Fernando Lago-Fernández, Francisco de Borja Rodríguez:
Impact of Minority Class Variability on Anomaly Detection by Means of Random Forests and Support Vector Machines. 416-428 - Md. Ashikur Rahman Khan, Anika Khan, Shehzin Masud, Rashedur M. Rahman:
Analyzing the Land Cover Change and Degradation in Sundarbans Mangrove Forest Using Machine Learning and Remote Sensing Technique. 429-438
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