index - Artificial Intelligence Applications and Innovations
   


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Table of Contents
Artificial Intelligence Applications and Innovations
Ilias Maglogiannis, Lazaros Iliadis, John Macintyre, Paulo Cortez
Front Matter

Brain Cognition


A Communication Data Layer for Distributed Neuromorphic Systems
András Veres, Péter Hága, András Rácz, Tamas Borsos, Zsolt Kenesi
3-16
Brainstorming Fuzzy Cognitive Maps for Camera-Based Assistive Navigation
Georgia Sovatzidi, Dimitris K. Iakovidis
17-28
Creating a Bridge Between Probabilities and Fuzzy Sets and Its Impact on Drought Severity Assessment
Nikos Mylonas, Mike Spiliotis, Basil Papapdopoulos
29-40
SAF: A Peer to Peer IoT LoRa System for Smart Supply Chain in Agriculture
Aristeidis Karras, Christos Karras, Georgios Drakopoulos, Dimitrios Tsolis, Phivos Mylonas, Spyros Sioutas
41-50

Machine Learning Classification


A Multi-label Time Series Classification Approach for Non-intrusive Water End-Use Monitoring
Dimitris Papatheodoulou, Pavlos Pavlou, Stelios G. Vrachimis, Kleanthis Malialis, Demetrios G. Eliades, Theocharis Theocharides
53-66
A Primer for tinyML Predictive Maintenance: Input and Model Optimisation
Emil Njor, Jan Madsen, Xenofon Fafoutis
67-78
Allocating Orders to Printing Machines for Defect Minimization: A Comparative Machine Learning Approach
Angelos Angelopoulos, Anastasios Giannopoulos, Sotirios Spantideas, Nikolaos Kapsalis, Chris Trochoutsos, Stamatis Voliotis, Panagiotis Trakadas
79-88
Bias in Face Image Classification Machine Learning Models: The Impact of Annotator’s Gender and Race
Andreas Kafkalias, Stylianos Herodotou, Zenonas Theodosiou, Andreas Lanitis
89-100
Decision Tree Induction Through Meta-learning
Caique Augusto Ferreira, Adriano Henrique Cantão, José Augusto Baranauskas
101-111
Hybrid (CPU/GPU) Exact Nearest Neighbors Search in High-Dimensional Spaces
David Muhr, Michael Affenzeller
112-123
Machine Learning Approach to Detect Malicious Mobile Apps
Hassan Kazemian
124-135
Prediction of Wafer Map Categories Using Wafer Acceptance Test Parameters in Semiconductor Manufacturing
Martin Lim, Anurag Sharma, Cheng Siong Chin, Tommy Yip, Jonathan Ong
136-144

Machine Learning Modeling /Feature Selection


An Improved Neural Network Model for Treatment Effect Estimation
Niki Kiriakidou, Christos Diou
147-158
An Industry 4.0 Intelligent Decision Support System for Analytical Laboratories
António João Silva, Paulo Cortez
159-169
Combining Cox Model and Tree-Based Algorithms to Boost Performance and Preserve Interpretability for Health Outcomes
Diana Shamsutdinova, Daniel Stamate, Angus Roberts, Daniel Stahl
170-181
Distribution Guided Neural Disaggregation of PM10 and O3 Hourly Concentrations from Daily Statistics and Low-Cost Sensors
Evangelos Bagkis, Theodosios Kassandros, Kostas Karatzas
182-193
Experimental Comparison of Metaheuristics for Feature Selection in Machine Learning in the Medical Context
Thibault Anani, Francois Delbot, Jean-François Pradat-Peyre
194-205
Exploring the Pertinence of Distance Functions for Nominal Multi-label Data
Payel Sadhukhan
206-216
Feature Selection Methods for Uplift Modeling and Heterogeneous Treatment Effect
Zhenyu Zhao, Yumin Zhang, Totte Harinen, Mike Yung
217-230
Machine Learning Applications in Real Estate: Critical Review of Recent Development
Jamal Al-Qawasmi
231-249
Predictive Maintenance Based on Machine Learning Model
Bassem Hichri, Anass Driate, Andrea Borghesi, Francesco Giovannini
250-261
Production Time Prediction for Contract Manufacturing Industries Using Automated Machine Learning
Afonso Sousa, Luís Ferreira, Rui Ribeiro, João Xavier, André Pilastri, Paulo Cortez
262-273

Social Media, Sentiment Analysis/Natural Language - Text Mining


A Multi-Objective Optimization Algorithm for Out-of-Home Advertising
Nader Nader, Rafael Alexandrou, Iasonas Iasonos, Andreas Pamboris, Harris Papadopoulos, Andreas Konstantinidis
277-288
AutoMC: Learning Regular Expressions for Automated Management Change Event Extraction from News Articles
Murat Kalender
289-300
How Dimensionality Reduction Affects Sentiment Analysis NLP Tasks: An Experimental Study
Leonidas Akritidis, Panayiotis Bozanis
301-312
Invention Concept Latent Spaces for Analogical Ideation
Nicholas Walker
313-324
Multilingual Sentiment Analysis on Twitter Data Towards Enhanced Policy Making
George Manias, Athanasios Kiourtis, Argyro Mavrogiorgou, Dimosthenis Kyriazis
325-337
On the Evaluation of the Plausibility and Faithfulness of Sentiment Analysis Explanations
Julia El Zini, Mohamad Mansour, Basel Mousi, Mariette Awad
338-349
Sentiment Analysis on COVID-19 Twitter Data: A Sentiment Timeline
Makrina Karagkiozidou, Paraskevas Koukaras, Christos Tjortjis
350-359
Social Media Sentiment Analysis Related to COVID-19 Vaccines: Case Studies in English and Greek Language
Evridiki Kapoteli, Paraskevas Koukaras, Christos Tjortjis
360-372

Time Series Modeling/Transfer Learning


Comparing Boosting and Deep Learning Methods on Multivariate Time Series for Retail Demand Forecasting
Georgios Theodoridis, Athanasios Tsadiras
375-386
Equilibrium Resolution for Epoch Partitioning
Wojciech Wisniewski, Yuri Kalnishkan, David Lindsay, Siân Lindsay
387-401
Topological Data Analysis of Time-Series as an Input Embedding for Deep Learning Models
Morgan Byers, Lee B. Hinkle, Vangelis Metsis
402-413
Transfer Learning for Predicting Gene Regulatory Effects of Chemicals
Bahattin Can Maral, Mehmet Tan
414-425
Transfer Learning with Jukebox for Music Source Separation
Wadhah Zai El Amri, Oliver Tautz, Helge Ritter, Andrew Melnik
426-433

Unsupervised Modeling


An Inductive System Monitoring Approach for GNSS Activation
Shahrooz Abghari, Veselka Boeva, Emiliano Casalicchio, Peter Exner
437-449
Client Segmentation of Mobile Payment Parking Data Using Machine Learning
Ilze Andersone, Agris Ņikitenko, Valdis Bergs, Uldis Jansons
450-459
Determining Column Numbers in Résumés with Clustering
Sultan N. Turhan, Şeref Recep Keskin, Yavuz Balı, Günce Keziban Orman, F. Serhan Daniş
460-471
High Rank Self-Organising Maps for Image Fingerprinting
Anthony Benjamin Kolenic, Duncan Anthony Coulter
472-483
Implicit Maximum Likelihood Clustering
Georgios Vardakas, Aristidis Likas
484-495
Query Driven Data Subspace Mapping
Panagiotis Fountas, Maria Papathanasaki, Kostas Kolomvatsos, Christos Anagnostopoulos
496-508