Accepted Papers

Collision-Free Navigation using Evolutionary Symmetrical Neural Networks

Hesham M. Eraqi, Mena Nagiub and Peter Sidra

Dynamic Hybrid Learning for Improving Facial Expression Classifier Reliability

Jordan Vice, Masood Khan, Tele Tan and Svetlana Yanushkevich

Adaptive Classification of Occluded Facial Expressions of Affective States

Jordan Vice, Masood Khan, Iain Murray and Svetlana Yanushkevich

Using Machine Learning for early prediction of Heart Disease

Martina Iammarino, Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Debora Montano and Chiara Verdone

A Machine Learning approach for Early Detectionof Parkinson’s Disease Using acoustic traces

Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino, Debora Montano and Chiara Verdone

EFNN-Gen — a uni-nullneuron-based evolving fuzzy neural network with generalist rules

Paulo Vitor de Campos Souza and Edwin Lughofer

Insect Collision Detection Using Machine Learning with Correlation to Climatic Conditions

Tudur David, Matt Jones, Paul Cross and Cristiano Palego

An Explainable and Evolving Car Driver Identification System based on Decision Trees

Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Pietro Ducange, Michela Fazzolari and Riccardo Pecori

Tiny-MLOps: a framework for orchestrating ML applications at the far edge of IoT systems

Mattia Antonini, Miguel Pincheira, Massimo Vecchio and Fabio Antonelli

Hybrid Classifier for Signal Aspect Detection in Railway Infrastructure

Dirk Friedenberger, Felix Grzelka and Andreas Polze

Transformers-based time series forecasting for piezometric level prediction

Nedra Mellouli, Mohamed Louay Rabah and Imed Riadh Farah

Spatio-Temporal Data Clustering using Deep Learning: A Review

Aparna R and Dr. Sumam Mary Idicula

Evolving clustering algorithm based on average cluster distance – eCAD

Goran Andonovski and Igor Škrjanc

Dilated Long Short-Term Attention For Chaotic Time Series Applications

Fatimah Al-Yousif and Nora Alkhaldi

Kernel Evolving Participatory Fuzzy Modeling for Time Series Forecasting: New Perspectives Based on Similarity Measures

Eduardo Santos, Kaike Alves, Direnc Pekaslan and Eduardo Aguiar

Multi-labeled Dataset of Arabic COVID-19 Tweets for Topic-Based Sentiment Classifications

Fatima Alderazi, Abdulelah Algosaibi and Mohammed Alabdullatif

Online Monitoring of Stance from Tweets: The case of Green Pass in Italy

Alessandro Bondielli, Giuseppe Cancello Tortora, Pietro Ducange, Armando Macrì, Francesco Marcelloni and Alessandro Renda

An active learning approach for classifying explosion quake

Antonino D’Alessandro, Andrea Di Benedetto, Giosue Lo Bosco and Anna Figlioli

Uncovering the conceptual evolution of sentiment analysis research field during the period 2017–2021

Manuel Jesus Cobo Martin, Ignacio J. Perez, Antonio Velez-Estevez and F.J. Cabrerizo