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EAIS 2024: Madrid, Spain
- José Antonio Iglesias Martínez, Rashmi Dutta Baruah, Dimitry Kangin, Paulo Vitor de Campos Souza:
IEEE International Conference on Evolving and Adaptive Intelligent Systems, EAIS 2024, Madrid, Spain, May 23-24, 2024. IEEE 2024, ISBN 979-8-3503-6623-5 - Manuel Parra-Royón, Álvaro Rodríguez-Gallardo, Susana Sánchez-Expósito, Laura Darriba-Pol, Jesús Sánchez-Castañeda, Maria Ángeles Mendoza, Julián Garrido, Javier Moldón, Lourdes Verdes-Montenegro:
Bringing computation to the data: A MOEA-driven approach for optimising data processing in the context of the SKA and SRCNet. 1-8 - Fathimah Syifa Nurkasyifah, Asep Kuswandi Supriatna, Asep Maulana:
Supervised GNNs for Node Label Classification in Highly Sparse Network: Comparative Analysis. 1-8 - Adam Broadbent, Andrea Corradini:
Using Genetic Algorithms for the Generation of Increasingly Challenging Terrain for Players to Navigate. 1-8 - Dana Utebayeva, Assel Yembergenova:
Study a deep learning-based audio classification for detecting the distance of UAV. 1-7 - Abdel Rahman Alqaddoumi, Anisha Mulinti, Srivalli Sreya Penagamuri, Yousaf Ghaly, Sanjana Chitnis, Weitian Wang, Michelle Zhu:
A Robot-Assisted Missing Child Search Approach. 1-6 - José Antonio Iglesias, José María Monterrubio, María Paz Sesmero, Araceli Sanchis:
Generation and Evaluation of Medical Images Based on Diffusion Models. 1-8 - Esteban García-Cuesta, Javier Huertas-Tato, Pablo Cardinal-Fernandez, José Barberán:
Explainable Risk Prediction on Streaming Data: a LSTMs application to SARS-CoV-2 Patients. 1-9 - Tharuka Kasthuri Arachchige, Selim Ickin, Shahrooz Abghari, Veselka Boeva:
Clients Behavior Monitoring in Federated Learning via Eccentricity Analysis. 1-8 - Vitor Barth, Henrique de Oliveira Caetano, Carlos Dias Maciel, Marco Aiello:
Quantifying uncertainty in Bayesian Networks structural learning. 1-8 - Diganta Baruah, Ritocheta Roy, Raunak Ahmed, Senthilmurugan Subbiah, Sonali Chouhan, Kumaresan Angappan:
Contextual Approaches to Data-Driven Fault Detection in Solar Photovoltaic System. 1-7 - Yin-Loon Khor, Yi Jie Wong, Mau-Luen Tham, Yoong Choon Chang, Ban-Hoe Kwan, Kok-Chin Khor:
Multi-Task YOLO for Vehicle Colour Recognition and Automatic License Plate Recognition. 1-7 - Rashmi Dutta Baruah, Mario Muñoz Organero:
A brief Review on the Role of Context in Explainable AI. 1-6 - Mohammed Elmahdi Khennour, Abdelhamid Bouchachia, Mohammed Lamine Kherfi, Khadra Bouanane, Oussama Aiadi:
Adapting Random Simple Recurrent Network for Online Forecasting Problems. 1-7 - Gabriella Casalino, Giovanna Castellano, Daniele Di Mitri, Katarzyna Kaczmarek-Majer, Gianluca Zaza:
A Human-centric Approach to Explain Evolving Data: A Case Study on Education. 1-8 - Agil Aghasanli, Plamen Angelov:
Edge Implementation of Unsupervised Self-evolving Vision Classifier. 1-8 - Mohammed Aburidi, Roummel F. Marcia:
Topological Adversarial Attacks on Graph Neural Networks Via Projected Meta Learning. 1-8 - Evangelos Athanasakis, Kyriaki Pantelidou, Nikolaos Siopis, Paschalis Bizopoulos, Antonios Lalas, Konstantinos Votis, Dimitrios Tzovaras:
Towards safer indoor spaces: A machine learning based CO2 forecasting approach for smart systems. 1-9 - Domenico Amato, Salvatore Calderaro, Giosuè Lo Bosco, Riccardo Rizzo, Filippo Vella:
Bacteria Taxonomic Classification using Graph Neural Networks. 1-6 - Lucas P. Valente, Marcelo M. S. de Souza, Alan M. Da Rocha:
Speech Audio Deepfake Detection via Convolutional Neural Networks. 1-6 - José Ramón Trillo, Francisco Javier Cabrerizo, Ignacio Javier Pérez, Juan Antonio Morente-Molinera, Enrique Herrera-Viedma:
A new Consensus Reaching Method for Group Decision-Making based on the Large Language Model Gemini for Detecting Hostility During the Discussion Process. 1-8 - Asier Urio-Larrea, Graçaliz Pereira Dimuro, Javier Andréu Pérez, Heloisa Camargo, Humberto Bustince:
Towards Analysing Climate Change Temperature Patterns through Stream Clustering Methods. 1-5 - Daniel Francisco Merino Delgado, María Jesús Rufo Bazaga, Alfonso Mateos Caballero, Carlos Javier Pérez Sánchez:
Convolutional neural networks to detect Parkinson's disease based on voice recordings and transfer learning. 1-5 - Irina Arévalo, Jose L. Salmeron, Ivan Romero:
Privacy-preserving distributed learning with chaotic maps. 1-7 - Haleema Sadia, Parvez Alam:
Enhanced K-means Color Clustering Based on SLIC Superpixels Merging incorporated within the Entomology Software: AInsectID. 1-9 - Giovanni Panella, Pietro Ducange, Manuele Bettelli, Filippo Vurro, Michela Fazzolari, Riccardo Pecori:
Leveraging Incremental Decision Trees and In-Vivo Biosensors for an Explainable Plant Health Monitoring System. 1-8 - Álvaro Díez, Fidel Aznar:
Autonomous Swarm Navigation Using Multi-Agent Reinforcement Learning and Neuro-Evolution. 1-9 - Jan Corfixen Sørensen, Eva Reybroeck:
Adaptive Intelligent Supplemental Light Optimization based on Fluctuating Electricity Prices. 1-7 - Miha Ozbot, Igor Skrjanc:
Online Design of Experiments with Fuzzy Confidence Interval for Identification of Nonlinear Dynamical Processes. 1-8 - Junzhe Chen, Zhiqiang Pan, Honghui Chen:
Correlation-enhanced Dynamic Graph Learning for Temporal Link Prediction. 1-7 - Rogelio Hernández, Gabriel Mujica, Jorge Portilla:
Situational Awareness I2X Pipeline Methodology for LiDAR-based Sensor Networks at the Edge of Internet of Things. 1-8 - Milena Angelova, Veselka Boeva, Shahrooz Abghari:
EdgeCluster: A Resource-Aware Evolving Clustering for Streaming Data. 1-10 - Fernando Viadero-Monasterio, Miguel Meléndez-Useros, Manuel Jiménez-Salas, Beatriz L. Boada, María Jesús López Boada:
What are the most influential factors in a vehicle platoon? 1-7 - Alba María López González, Esteban García-Cuesta:
On the transferability of local model-agnostic explanations of machine learning models to unseen data. 1-10 - Omid Orang, Fabricio Javier Erazo-Costa, Petrônio C. L. Silva, Guilherme de Alencar Barreto, Frederico Gadelha Guimarães:
A Large Reservoir Computing Forecasting Method Based on Randomized Fuzzy Cognitive Maps. 1-8 - Leandro Maciel, Fernando A. C. Gomide:
Recursive Level Set Fuzzy Modeling. 1-6 - Miriam Elia, Fabian Stieler, Fabian Ripke, Marius Nann, Sarah Dopfer, Bernhard Bauer:
Towards Certifiable AI in Medicine: Illustrated for Multi-label ECG Classification Performance Metrics. 1-8 - Fabian Fingerhut, Mathias Verbeke, Elena Tsiporkova:
Unsupervised context-sensitive anomaly detection on streaming data relying on multi-view profiling. 1-10 - Henrique de Oliveira Caetano, Matheus de Souza Sant'Anna Fogliatto, Luiz Desuó Neto, Benvindo R. Pereira Júnior, Carlos Dias Maciel, Marco Aiello:
Intelligent Resource Allocation in Power Grids: Leveraging Variable Neighborhood Search for Optimal Switch Allocation. 1-8 - Rasha S. Al Jassim, Shqran Al Mansoory, Karan Jetly, Hilal Al Maqbali:
Enhancing Hotel Performance Prediction in Oman's Tourism Industry: Insights from Machine Learning, Feature Analysis, and Predictive Factors. 1-8 - Morsinaldo Medeiros, Thommas K. S. Flores, Marianne Silva, Ivanovitch Silva:
A Multi-Layered Methodology for Driver Behavior Analysis Using TinyML and Edge Computing. 1-8 - Ali Rodan:
Reflected PSO for Robot Path Planning. 1-8 - Vincenzo Mariano Scarrica, Antonino Staiano:
Unveiling Graph Power: SegmentAnything and GCN Synergy for Instance Segmentation and Classification. 1-7 - Shih-Chun Deng, Hung-Jen Lin, Ping-Liang Chung, An-Chi Liu, Joe-Air Jiang:
Biological Trajectory Prediction of Beet Armyworm Larva Based on Computer Vision and Time-Series Forecasting Model. 1-7 - Alberto Roberto Marinelli, Antonio Carta, Lucia C. Passaro:
Updating knowledge in Large Language Models: an Empirical Evaluation. 1-8 - Paulo Vitor de Campos Souza, Mauro Dragoni:
Knowledge extraction in auction verification employing techniques from machine learning and fuzzy neural networks. 1-8 - Pietro Ducange, Michela Fazzolari, Francesco Marcelloni, Martina Marino, Roberta Matrella:
Continuous Monitoring of Body Shaming Actions in Social Networks. 1-8 - Xiaoyu Ge, Ali Hosseinipour, Saskia Putri, Faegheh Moazeni, Javad Khazaei:
Learning the Dynamics of Future Marine Microgrids Using Temporal Convolutional Neural Network. 1-7 - Veronica Duarte-Martínez, Ignacio J. Pérez, Pietro Ducange, Manuel J. Cobo:
Understanding the Conceptual Structure of Large Language Models through Bibliographical Network. 1-7 - Daniel F. Leite, Alisson Silva, Gabriella Casalino, Arnab Sharma, Danielle Fortunato, Axel-Cyrille Ngonga Ngomo:
EGNN-C+: Interpretable Evolving Granular Neural Network and Application in Classification of Weakly-Supervised EEG Data Streams. 1-10 - Gonzalo Nápoles, Isel Grau:
Long Short-term Cognitive Networks: An Empirical Performance Study. 1-8 - Miriam Chlumsky-Harttmann, Ahmad Ayad, Anke Schmeink:
HypoTreat: Reducing Hypoglycemia in Artificial Pancreas Simulation. 1-7 - Myoung Hoon Ha, Seung-geun Chi, Sang Wan Lee:
Learning to Escape: Multi-mode Policy Learning for the Traveling Salesmen Problem. 1-11 - Giuseppe Fenza, Mariacristina Gallo, Vincenzo Loia, Claudio Stanzione:
Evaluating Web Domain Credibility: A Multifactorial Score for Analyzing Online Reliability. 1-8
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