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ORCIDEAIS 2022: Larnaca, Cyprus
- Plamen Angelov, George A. Papadopoulos, Giovanna Castellano, José A. Iglesias, Gabriella Casalino, Edwin Lughofer, Daniel Leite:
IEEE International Conference on Evolving and Adaptive Intelligent System, EAIS 2022, Larnaca, Cyprus, May 25-26, 2022. IEEE 2022, ISBN 978-1-6654-3706-6 - Lerina Aversano, Mario Luca Bernardi
, Marta Cimitile, Pietro Ducange, Michela Fazzolari, Riccardo Pecori:
An Explainable and Evolving Car Driver Identification System based on Decision Trees. 1-8 - Antonino D'Alessandro, Andrea Di Benedetto, Giosuè Lo Bosco, Anna Figlioli:
An Active Learning Approach for Classifying Explosion Quakes. 1-6 - Nedra Mellouli, Mohamed Louay Rabah, Imed Riadh Farah:
Transformers-based time series forecasting for piezometric level prediction. 1-6 - Manuel Jesus Cobo, Ignacio Javier Pérez, Antonio Velez-Estevez, Francisco Javier Cabrerizo:
Uncovering the conceptual evolution of sentiment analysis research field during the period 2017-2021. 1-8 - Eduardo Santos de Oliveira Marques, Kaike Sa Teles Rocha Alves, Direnc Pekaslan, Eduardo Pestana de Aguiar:
Kernel Evolving Participatory Fuzzy Modeling for Time Series Forecasting: New Perspectives Based on Similarity Measures. 1-8 - Paulo Vitor de Campos Souza, Edwin Lughofer:
EFNN-Gen - a uni-nullneuron-based evolving fuzzy neural network with generalist rules. 1-10 - Tudur Wyn David, Matt Jones, Paul Cross, Cristiano Palego:
Insect Collision Detection Using Machine Learning with Correlation to Climatic Conditions. 1-5 - Jordan Vice, Masood Mehmood Khan, Iain Murray, Svetlana N. Yanushkevich:
Adaptive Classification of Occluded Facial Expressions of Affective States. 1-8 - Fatima Mustafa Alderazi, Abdulelah Abdallah Algosaibi, Mohammed Abdulrahman Alabdullatif:
Multi-labeled Dataset of Arabic COVID-19 Tweets for Topic-Based Sentiment Classifications. 1-8 - R. Aparna, Sumam Mary Idicula:
Spatio-Temporal Data Clustering using Deep Learning: A Review. 1-10 - Mattia Antonini, Miguel Pincheira, Massimo Vecchio, Fabio Antonelli:
Tiny-MLOps: a framework for orchestrating ML applications at the far edge of IoT systems. 1-8 - Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino, Debora Montano, Chiara Verdone:
Using Machine Learning for early prediction of Heart Disease. 1-8 - Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino, Debora Montano, Chiara Verdone:
A Machine Learning approach for Early Detection of Parkinson's Disease Using acoustic traces. 1-8 - Jordan Vice, Masood Mehmood Khan, Tele Tan, Svetlana N. Yanushkevich:
Dynamic Hybrid Learning for Improving Facial Expression Classifier Reliability. 1-8 - Dirk Friedenberger, Felix Grzelka, Andreas Polze:
Hybrid Classifier for Signal Aspect Detection in Railway Infrastructure. 1-8 - Hesham M. Eraqi, Mena Nagiub, Peter Sidra:
Collision-Free Navigation using Evolutionary Symmetrical Neural Networks. 1-8 - Fatimah J. Alyousif, Nora A. Alkhaldi:
Dilated Long Short-Term Attention For Chaotic Time Series Applications. 1-8 - Goran Andonovski, Igor Skrjanc:
Evolving clustering algorithm based on average cluster distance - eCAD. 1-5 - Alessandro Bondielli, Giuseppe Cancello Tortora, Pietro Ducange, Armando Macri, Francesco Marcelloni, Alessandro Renda:
Online Monitoring of Stance from Tweets: The case of Green Pass in Italy. 1-8
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