EAIS

Keyphrases

Publications

2024

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. EAIS (2024)
Jan Corfixen Sørensen, Eva Reybroeck
Adaptive Intelligent Supplemental Light Optimization based on Fluctuating Electricity Prices. EAIS (2024)
Veronica Duarte-Martínez, Ignacio J. Pérez, Pietro Ducange, Manuel J. Cobo
Understanding the Conceptual Structure of Large Language Models through Bibliographical Network. EAIS (2024)
Asier Urio-Larrea, Graçaliz Pereira Dimuro, Javier Andréu Pérez, Heloisa Camargo, Humberto Bustince
Towards Analysing Climate Change Temperature Patterns through Stream Clustering Methods. EAIS (2024)
Álvaro Díez, Fidel Aznar
Autonomous Swarm Navigation Using Multi-Agent Reinforcement Learning and Neuro-Evolution. EAIS (2024)
Diganta Baruah, Ritocheta Roy, Raunak Ahmed, Senthilmurugan Subbiah, Sonali Chouhan, Kumaresan Angappan
Contextual Approaches to Data-Driven Fault Detection in Solar Photovoltaic System. EAIS (2024)
Miriam Chlumsky-Harttmann, Ahmad Ayad, Anke Schmeink
HypoTreat: Reducing Hypoglycemia in Artificial Pancreas Simulation. EAIS (2024)
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? EAIS (2024)
Miha Ozbot, Igor Skrjanc
Online Design of Experiments with Fuzzy Confidence Interval for Identification of Nonlinear Dynamical Processes. EAIS (2024)
Irina Arévalo, Jose L. Salmeron, Ivan Romero
Privacy-preserving distributed learning with chaotic maps. EAIS (2024)
Abdel Rahman Alqaddoumi, Anisha Mulinti, Srivalli Sreya Penagamuri, Yousaf Ghaly, Sanjana Chitnis, Weitian Wang, Michelle Zhu
A Robot-Assisted Missing Child Search Approach. EAIS (2024)
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. EAIS (2024)
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. EAIS (2024)
Vitor Barth, Henrique de Oliveira Caetano, Carlos Dias Maciel, Marco Aiello
Quantifying uncertainty in Bayesian Networks structural learning. EAIS (2024)
Myoung Hoon Ha, Seung-geun Chi, Sang Wan Lee
Learning to Escape: Multi-mode Policy Learning for the Traveling Salesmen Problem. EAIS (2024)
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. EAIS (2024)
Dana Utebayeva, Assel Yembergenova
Study a deep learning-based audio classification for detecting the distance of UAV. EAIS (2024)
Leandro Maciel, Fernando A. C. Gomide
Recursive Level Set Fuzzy Modeling. EAIS (2024)
Morsinaldo Medeiros, Thommas K. S. Flores, Marianne Silva, Ivanovitch Silva
A Multi-Layered Methodology for Driver Behavior Analysis Using TinyML and Edge Computing. EAIS (2024)
Rogelio Hernández, Gabriel Mujica, Jorge Portilla
Situational Awareness I2X Pipeline Methodology for LiDAR-based Sensor Networks at the Edge of Internet of Things. EAIS (2024)
Giuseppe Fenza, Mariacristina Gallo, Vincenzo Loia, Claudio Stanzione
Evaluating Web Domain Credibility: A Multifactorial Score for Analyzing Online Reliability. EAIS (2024)
Fathimah Syifa Nurkasyifah, Asep Kuswandi Supriatna, Asep Maulana
Supervised GNNs for Node Label Classification in Highly Sparse Network: Comparative Analysis. EAIS (2024)
Domenico Amato, Salvatore Calderaro, Giosuè Lo Bosco, Riccardo Rizzo, Filippo Vella
Bacteria Taxonomic Classification using Graph Neural Networks. EAIS (2024)
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. EAIS (2024)
Ali Rodan
Reflected PSO for Robot Path Planning. EAIS (2024)
Adam Broadbent, Andrea Corradini
Using Genetic Algorithms for the Generation of Increasingly Challenging Terrain for Players to Navigate. EAIS (2024)
IEEE International Conference on Evolving and Adaptive Intelligent Systems, EAIS 2024, Madrid, Spain, May 23-24, 2024 EAIS (2024)
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. EAIS (2024)
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. EAIS (2024)
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. EAIS (2024)
Agil Aghasanli, Plamen Angelov
Edge Implementation of Unsupervised Self-evolving Vision Classifier. EAIS (2024)
Haleema Sadia, Parvez Alam
Enhanced K-means Color Clustering Based on SLIC Superpixels Merging incorporated within the Entomology Software: AInsectID. EAIS (2024)
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. EAIS (2024)
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. EAIS (2024)
Mohammed Elmahdi Khennour, Abdelhamid Bouchachia, Mohammed Lamine Kherfi, Khadra Bouanane, Oussama Aiadi
Adapting Random Simple Recurrent Network for Online Forecasting Problems. EAIS (2024)
Milena Angelova, Veselka Boeva, Shahrooz Abghari
EdgeCluster: A Resource-Aware Evolving Clustering for Streaming Data. EAIS (2024)
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. EAIS (2024)
José Antonio Iglesias, José María Monterrubio, María Paz Sesmero, Araceli Sanchis
Generation and Evaluation of Medical Images Based on Diffusion Models. EAIS (2024)
Mohammed Aburidi, Roummel F. Marcia
Topological Adversarial Attacks on Graph Neural Networks Via Projected Meta Learning. EAIS (2024)
Alba María López González, Esteban García-Cuesta
On the transferability of local model-agnostic explanations of machine learning models to unseen data. EAIS (2024)
Lucas P. Valente, Marcelo M. S. de Souza, Alan M. Da Rocha
Speech Audio Deepfake Detection via Convolutional Neural Networks. EAIS (2024)
Pietro Ducange, Michela Fazzolari, Francesco Marcelloni, Martina Marino, Roberta Matrella
Continuous Monitoring of Body Shaming Actions in Social Networks. EAIS (2024)
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. EAIS (2024)
Alberto Roberto Marinelli, Antonio Carta, Lucia C. Passaro
Updating knowledge in Large Language Models: an Empirical Evaluation. EAIS (2024)
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. EAIS (2024)
Vincenzo Mariano Scarrica, Antonino Staiano
Unveiling Graph Power: SegmentAnything and GCN Synergy for Instance Segmentation and Classification. EAIS (2024)
Fabian Fingerhut, Mathias Verbeke, Elena Tsiporkova
Unsupervised context-sensitive anomaly detection on streaming data relying on multi-view profiling. EAIS (2024)
Rashmi Dutta Baruah, Mario Muñoz Organero
A brief Review on the Role of Context in Explainable AI. EAIS (2024)
Xiaoyu Ge, Ali Hosseinipour, Saskia Putri, Faegheh Moazeni, Javad Khazaei
Learning the Dynamics of Future Marine Microgrids Using Temporal Convolutional Neural Network. EAIS (2024)
Gonzalo Nápoles, Isel Grau
Long Short-term Cognitive Networks: An Empirical Performance Study. EAIS (2024)