Table of Contents
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Artificial Intelligence Applications and Innovations Ilias Maglogiannis, Lazaros Iliadis, John Macintyre, Manuel Dominguez |
Front Matter |
Cyber Security/Anomaly Detection
|
Implicit Directed Acyclic Graphs (DAGs) for Parallel Outlier/Anomaly Detection Ensembles David Muhr, Michael Affenzeller, Josef Küng |
3-15 |
Next Generation Automated Reservoir Computing for Cyber Defense Konstantinos Demertzis, Lazaros Iliadis |
16-27 |
One-Class Models for Intrusion Detection at ISP Customer Networks Nuno Schumacher, Pedro M. Santos, Pedro F. Souto, Nuno Martins, Joana Sousa, João M. Ferreira, Luís Almeida |
28-41 |
Explainable AI/Social Impact of AI
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An Innovative Method to Study the Social Impact of AI on the Work Environment Based on a Multi-dimensional Human-Centred Analysis of the Worker-AI Team Simona D’attanasio, Sara De Martino, Yann Ferguson |
45-56 |
CaTabRa: Efficient Analysis and Predictive Modeling of Tabular Data Alexander Maletzky, Sophie Kaltenleithner, Philipp Moser, Michael Giretzlehner |
57-68 |
Explaining Machine Learning-Based Feature Selection of IDS for IoT and CPS Devices Sesan Akintade, Seongtae Kim, Kaushik Roy |
69-80 |
Explaining the Unexplainable: Role of XAI for Flight Take-Off Time Delay Prediction Waleed Jmoona, Mobyen Uddin Ahmed, Mir Riyanul Islam, Shaibal Barua, Shahina Begum, Ana Ferreira, Nicola Cavagnetto |
81-93 |
Towards Autonomous Developmental Artificial Intelligence: Case Study for Explainable AI Andrew Starkey, Chinedu Pascal Ezenkwu |
94-105 |
Graph Neural Networks/Constraint Programming
|
Efficient Spatio-Temporal Graph Neural Networks for Traffic Forecasting Yackov Lubarsky, Alexei Gaissinski, Pavel Kisilev |
109-120 |
GCN-based Reinforcement Learning Approach for Scheduling DAG Applications Julius Roeder, Andy D. Pimentel, Clemens Grelck |
121-134 |
Prediction of Drug Interactions Using Graph-Topological Features and GNN Navyasree Balamuralidhar, Pranav Surendran, Gaurav Singh, Shrutilipi Bhattacharjee, Ramya D. Shetty |
135-144 |
Scheduling the Service of Cargo Vessels in a Single Port with Spatial and Temporal Constraints Loukas Chatzivasili, Emmanouil S. Rigas, Nick Bassiliades |
145-156 |
IoT/Fuzzy Modeling/Augmented Reality
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Improving Supply Chain Management by Integrating RFID with IoT Shared Database: Proposing a System Architecture Elena Puica |
159-170 |
Utilizing AR and Hybrid Cloud-Edge Platforms for Improving Accessibility in Exhibition Areas Dionysios Koulouris, Filimon Trastelis, Andreas Menychtas, Dimitrios Kosmopoulos, Ilias Maglogiannis |
171-182 |
Learning (Active-AutoEncoders-Federated)
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Active Learning Query Strategy Selection Using Dataset Meta-features Extraction Vangjel Kazllarof, Sotiris Kotsiantis |
185-194 |
Maritime Federated Learning for Decentralized On-Ship Intelligence Anastasios Giannopoulos, Nikolaos Nomikos, Georgios Ntroulias, Theodoros Syriopoulos, Panagiotis Trakadas |
195-206 |
OF-AE: Oblique Forest AutoEncoders Cristian Daniel Alecsa |
207-219 |
VAE-Based Generic Decoding via Subspace Partition and Priori Utilization Mingyang Sheng, Yongqiang Ma, Kai Chen, Nanning Zheng |
220-232 |
Machine Learning
|
A Difference Measuring Network for Few-Shot Learning Yu Wang, Junpeng Bao, Yanhua Li, Zhonghui Feng |
235-249 |
Accelerated Monitoring of Powder Bed Fusion Additive Manufacturing via High-Throughput Imaging and Low-Latency Machine Learning Ayyoub Ahar, Rob Heylen, Dries Verhees, Cyril Blanc, Abdellatif Bey-Temsamani |
250-265 |
AutoTiM - An Open-Source Service for Automated Provisioning and Operation of Time Series Based Machine Learning Models Andre Ebert, Jakob Kempter, Marina Siebold, Robert Pesch, Tetyana Turiy, Tevin Tchuinkam, Thomas Caffin Sune |
266-278 |
Characterization of an Absorption Machine Using Artificial Neural Networks A. Ferre, M. Castilla, J. A. Carballo, J. D. Álvarez |
279-291 |
Comparing Machine Learning Techniques for House Price Prediction Konstantinos Panagiotis Fourkiotis, Athanasios Tsadiras |
292-303 |
Forecasting Goal Performance for Top League Football Players: A Comparative Study Nikolaos Giannakoulas, George Papageorgiou, Christos Tjortjis |
304-315 |
Forecasting of Wind Turbine Synthetic Signals Based on Nonlinear Autoregressive Networks Cristian Blanco, J. Enrique Sierra-García, Matilde Santos |
316-324 |
Hybrid Machine Learning and Autonomous Control Assisted Framework for Fault Diagnostics and Mitigation in Diesel Engines Raman Goyal, Dhrubajit Chowdhury, Subhashis Hazarika, Raj Pradip Khawale, Shubhendu Kumar Singh, Lara Crawford, Rahul Rai |
325-339 |
Machine Learning for Predicting Production Disruptions in the Wood-Based Panels Industry: A Demonstration Case Cláudia Afonso, Arthur Matta, Luís Miguel Matos, Miguel Bastos Gomes, Antonina Santos, André Pilastri, Paulo Cortez |
340-351 |
ML-Based Prediction of Carbon Emissions for Potato Farms in Iran Seyedeh Razieh Ehsani Amrei, Lakshmi Babu-Saheer, Cristina Luca |
352-361 |
Pre-launch Fashion Product Demand Forecasting Using Machine Learning Algorithms Marios Arampatzis, G Eorgios Theodoridis, Athanasios Tsadiras |
362-372 |
Rapid Thrombogenesis Prediction in Covid-19 Patients Using Machine Learning Joong-Lyul Lee, Safaa Alwajidi, Mike Tree, Angelo Cristobal, Haitao Zhao |
373-384 |
Natural Language
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Are These Descriptions Referring to the Same Entity or Just to Similar Ones? Péter Kardos, Richárd Farkas |
387-398 |
Efficient Approaches for the Discovery of Sensitive Information by Using Natural Language Processing Techniques Kushal Shree Dhani, Benedikt Zundel, Doina Logofătu |
399-410 |
Natural Language Processing for the Turkish Academic Texts in the Engineering Field: Key-Term Extraction, Similarity Detection, Subject/Topic Assignment Bora Kat |
411-424 |
Towards Automatic Evaluation of NLG Tasks Using Conversational Large Language Models Md Riyadh, M. Omair Shafiq |
425-437 |
Optimization-Genetic Programming
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Cognitive Digital Twin in Manufacturing: A Heuristic Optimization Approach Atiq Ur Rehman, Mobyen Uddin Ahmed, Shahina Begum |
441-453 |
Generation of Optimum Frenet Curves by Genetic Algorithms for AGVs Eduardo Bayona, J. Enrique Sierra-Garc, Matilde Santos |
454-464 |
MPPT Control in an Offshore Wind Turbine Optimized with Genetic Algorithms and Unsupervised Neural Networks Eduardo Muñoz-Palomeque, Jesús Enrique Sierra-García, Matilde Santos |
465-477 |
Predicting Hotel Performance in Oman with AI-Driven Predictive Analytic R. S. Al Jassim, Karan Jetly, Shqran Al Mansoory, Muna Al-Balushi, Hilal Al Maqbali |
478-490 |
SASHA: Hyperparameter Optimization by Simulated Annealing and Successive Halving Ron Triepels |
491-502 |
Robotics
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Data Collection Automation in Machine Learning Process Using Robotic Manipulator Piotr Reczek, Jakub Panczyk, Andrzej Wetula, Andrzej Młyniec |
505-514 |
Emergence of Communication Through Artificial Evolution in an Orientation Consensus Task in Swarm Robotics Rafael Sendra-Arranz, Álvaro Gutiérrez |
515-526 |
Spiking NN
|
Lossless Method of Constraining Membrane Potential in Deep Spiking Neural Networks Yijie Miao, Makoto Ikeda |
529-540 |
Matching Patterns of Temporal Neural Activity Using the Victor-Purpura Distance in Real-Time Alberto Ayala, Angel Lareo, Pablo Varona, Francisco B. Rodriguez |
541-553 |
Text Mining/Transfer Learning
|
Thematic Modeling of UN Sustainable Development Goals: A Comparative Meta-based Approach Harris Partaourides, Emily Kouzaridi, Nicolas Tsapatsoulis, Constantinos Djouvas |
557-568 |
Transfer Learning Through Knowledge-Infused Representations with Contextual Experts Daniel Biermann, Morten Goodwin, Ole-Christoffer Granmo |
569-578 |