{"id":2161,"date":"2022-04-19T13:45:15","date_gmt":"2022-04-19T13:45:15","guid":{"rendered":"https:\/\/cyprusconferences.org\/eais2022\/?page_id=2161"},"modified":"2022-04-19T13:55:05","modified_gmt":"2022-04-19T13:55:05","slug":"accepted-papers","status":"publish","type":"page","link":"https:\/\/cyprusconferences.org\/eais2022\/accepted-papers\/","title":{"rendered":"Accepted Papers"},"content":{"rendered":"

[et_pb_section fb_built=”1″ _builder_version=”4.7.4″ _module_preset=”default” background_enable_color=”off” background_image=”https:\/\/cyprusconferences.org\/eais2022\/wp-content\/uploads\/2021\/03\/sand-2005066_1920.jpg” custom_padding=”5px||59px|||”][et_pb_row _builder_version=”4.7.4″ _module_preset=”default”][et_pb_column type=”4_4″ _builder_version=”4.7.4″ _module_preset=”default”][et_pb_text _builder_version=”4.7.4″ _module_preset=”default” header_font=”|700|||||||” header_text_align=”center” header_text_color=”#000000″ header_font_size=”50px” custom_margin=”49px|||||” hover_enabled=”0″ header_text_shadow_style=”preset3″ header_text_shadow_blur_strength=”0.36em” header_text_shadow_color=”#ffffff” sticky_enabled=”0″]<\/p>\n

Accepted Papers<\/h1>\n

[\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=”1″ _builder_version=”4.7.4″ _module_preset=”default”][et_pb_row _builder_version=”4.7.4″ _module_preset=”default”][et_pb_column type=”4_4″ _builder_version=”4.7.4″ _module_preset=”default”][et_pb_text _builder_version=”4.7.4″ _module_preset=”default” text_font_size=”16px” hover_enabled=”0″ sticky_enabled=”0″]<\/p>\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
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Collision-Free Navigation using Evolutionary Symmetrical Neural Networks<\/strong><\/p>\n

Hesham M. Eraqi, Mena Nagiub and Peter Sidra<\/p>\n<\/td>\n<\/tr>\n

\n

<\/strong><\/p>\n

Dynamic Hybrid Learning for Improving Facial Expression Classifier Reliability<\/strong><\/p>\n

Jordan Vice, Masood Khan, Tele Tan and Svetlana Yanushkevich<\/p>\n<\/td>\n<\/tr>\n

\n

<\/strong><\/p>\n

Adaptive Classification of Occluded Facial Expressions of Affective States<\/strong><\/p>\n

Jordan Vice, Masood Khan, Iain Murray and Svetlana Yanushkevich<\/p>\n<\/td>\n<\/tr>\n

\n

<\/strong><\/p>\n

Using Machine Learning for early prediction of Heart Disease<\/strong><\/p>\n

Martina Iammarino, Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Debora Montano and Chiara Verdone<\/p>\n<\/td>\n<\/tr>\n

\n

<\/strong><\/p>\n

A Machine Learning approach for Early Detectionof Parkinson\u2019s Disease Using acoustic traces<\/strong><\/p>\n

Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Martina Iammarino, Debora Montano and Chiara Verdone<\/p>\n<\/td>\n<\/tr>\n

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<\/strong><\/p>\n

EFNN-Gen — a uni-nullneuron-based evolving fuzzy neural network with generalist rules<\/strong><\/p>\n

Paulo Vitor de Campos Souza and Edwin Lughofer<\/p>\n<\/td>\n<\/tr>\n

\n

<\/strong><\/p>\n

Insect Collision Detection Using Machine Learning with Correlation to Climatic Conditions<\/strong><\/p>\n

Tudur David, Matt Jones, Paul Cross and Cristiano Palego<\/p>\n<\/td>\n<\/tr>\n

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<\/strong><\/p>\n

An Explainable and Evolving Car Driver Identification System based on Decision Trees<\/strong><\/p>\n

Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Pietro Ducange, Michela Fazzolari and Riccardo Pecori<\/p>\n<\/td>\n<\/tr>\n

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<\/strong><\/p>\n

Tiny-MLOps: a framework for orchestrating ML applications at the far edge of IoT systems<\/strong><\/p>\n

Mattia Antonini, Miguel Pincheira, Massimo Vecchio and Fabio Antonelli<\/p>\n<\/td>\n<\/tr>\n

\n

<\/strong><\/p>\n

Hybrid Classifier for Signal Aspect Detection in Railway Infrastructure<\/strong><\/p>\n

Dirk Friedenberger, Felix Grzelka and Andreas Polze<\/p>\n<\/td>\n<\/tr>\n

\n

<\/strong><\/p>\n

Transformers-based time series forecasting for piezometric level prediction <\/strong><\/p>\n

Nedra Mellouli, Mohamed Louay Rabah and Imed Riadh Farah<\/p>\n<\/td>\n<\/tr>\n

\n

<\/strong><\/p>\n

Spatio-Temporal Data Clustering using Deep Learning: A Review<\/strong><\/p>\n

Aparna R and Dr. Sumam Mary Idicula<\/p>\n<\/td>\n<\/tr>\n

\n

<\/strong><\/p>\n

Evolving clustering algorithm based on average cluster distance – eCAD<\/strong><\/p>\n

Goran Andonovski and Igor \u0160krjanc<\/p>\n<\/td>\n<\/tr>\n

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<\/strong><\/p>\n

Dilated Long Short-Term Attention For Chaotic Time Series Applications<\/strong><\/p>\n

Fatimah Al-Yousif and Nora Alkhaldi<\/p>\n<\/td>\n<\/tr>\n

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<\/strong><\/p>\n

Kernel Evolving Participatory Fuzzy Modeling for Time Series Forecasting: New Perspectives Based on Similarity Measures<\/strong><\/p>\n

Eduardo Santos, Kaike Alves, Direnc Pekaslan and Eduardo Aguiar<\/p>\n<\/td>\n<\/tr>\n

\n

<\/strong><\/p>\n

Multi-labeled Dataset of Arabic COVID-19 Tweets for Topic-Based Sentiment Classifications<\/strong><\/p>\n

Fatima Alderazi, Abdulelah Algosaibi and Mohammed Alabdullatif<\/p>\n<\/td>\n<\/tr>\n

\n

<\/strong><\/p>\n

Online Monitoring of Stance from Tweets: The case of Green Pass in Italy<\/strong><\/p>\n

Alessandro Bondielli, Giuseppe Cancello Tortora, Pietro Ducange, Armando Macr\u00ec, Francesco Marcelloni and Alessandro Renda<\/p>\n<\/td>\n<\/tr>\n

\n

<\/strong><\/p>\n

An active learning approach for classifying explosion quake<\/strong><\/p>\n

Antonino D’Alessandro, Andrea Di Benedetto, Giosue Lo Bosco and Anna Figlioli<\/p>\n<\/td>\n<\/tr>\n

\n

<\/strong><\/p>\n

Uncovering the conceptual evolution of sentiment analysis research field during the period 2017\u20132021<\/strong><\/p>\n

Manuel Jesus Cobo Martin, Ignacio J. Perez, Antonio Velez-Estevez and F.J. Cabrerizo<\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

[\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section]<\/p>\n","protected":false},"excerpt":{"rendered":"

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 […]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_et_pb_use_builder":"on","_et_pb_old_content":"","_et_gb_content_width":""},"_links":{"self":[{"href":"https:\/\/cyprusconferences.org\/eais2022\/wp-json\/wp\/v2\/pages\/2161"}],"collection":[{"href":"https:\/\/cyprusconferences.org\/eais2022\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/cyprusconferences.org\/eais2022\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/cyprusconferences.org\/eais2022\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/cyprusconferences.org\/eais2022\/wp-json\/wp\/v2\/comments?post=2161"}],"version-history":[{"count":3,"href":"https:\/\/cyprusconferences.org\/eais2022\/wp-json\/wp\/v2\/pages\/2161\/revisions"}],"predecessor-version":[{"id":2167,"href":"https:\/\/cyprusconferences.org\/eais2022\/wp-json\/wp\/v2\/pages\/2161\/revisions\/2167"}],"wp:attachment":[{"href":"https:\/\/cyprusconferences.org\/eais2022\/wp-json\/wp\/v2\/media?parent=2161"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}