Accepted Papers
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Collision-Free Navigation using Evolutionary Symmetrical Neural Networks Hesham M. Eraqi, Mena Nagiub and Peter Sidra |
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Dynamic Hybrid Learning for Improving Facial Expression Classifier Reliability Jordan Vice, Masood Khan, Tele Tan and Svetlana Yanushkevich |
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Adaptive Classification of Occluded Facial Expressions of Affective States Jordan Vice, Masood Khan, Iain Murray and Svetlana Yanushkevich |
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Using Machine Learning for early prediction of Heart Disease Martina Iammarino, Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Debora Montano and Chiara Verdone |
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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 |
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EFNN-Gen — a uni-nullneuron-based evolving fuzzy neural network with generalist rules Paulo Vitor de Campos Souza and Edwin Lughofer |
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Insect Collision Detection Using Machine Learning with Correlation to Climatic Conditions Tudur David, Matt Jones, Paul Cross and Cristiano Palego |
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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 |
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Tiny-MLOps: a framework for orchestrating ML applications at the far edge of IoT systems Mattia Antonini, Miguel Pincheira, Massimo Vecchio and Fabio Antonelli |
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Hybrid Classifier for Signal Aspect Detection in Railway Infrastructure Dirk Friedenberger, Felix Grzelka and Andreas Polze |
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Transformers-based time series forecasting for piezometric level prediction Nedra Mellouli, Mohamed Louay Rabah and Imed Riadh Farah |
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Spatio-Temporal Data Clustering using Deep Learning: A Review Aparna R and Dr. Sumam Mary Idicula |
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Evolving clustering algorithm based on average cluster distance – eCAD Goran Andonovski and Igor Škrjanc |
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Dilated Long Short-Term Attention For Chaotic Time Series Applications Fatimah Al-Yousif and Nora Alkhaldi |
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Kernel Evolving Participatory Fuzzy Modeling for Time Series Forecasting: New Perspectives Based on Similarity Measures Eduardo Santos, Kaike Alves, Direnc Pekaslan and Eduardo Aguiar |
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Multi-labeled Dataset of Arabic COVID-19 Tweets for Topic-Based Sentiment Classifications Fatima Alderazi, Abdulelah Algosaibi and Mohammed Alabdullatif |
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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 |
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An active learning approach for classifying explosion quake Antonino D’Alessandro, Andrea Di Benedetto, Giosue Lo Bosco and Anna Figlioli |
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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 |