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19th AIAI 2023: León, Spain
- Ilias Maglogiannis
, Lazaros S. Iliadis
Artificial Intelligence Applications and Innovations - 19th IFIP WG 12.5 International Conference, AIAI 2023, León, Spain, June 14-17, 2023, Proceedings, Part II. IFIP Advances in Information and Communication Technology 676, Springer 2023, ISBN 978-3-031-34106-9
Cyber Security/Anomaly Detection
- David Muhr
Implicit Directed Acyclic Graphs (DAGs) for Parallel Outlier/Anomaly Detection Ensembles. 3-15 - Konstantinos Demertzis, Lazaros S. Iliadis:
Next Generation Automated Reservoir Computing for Cyber Defense. 16-27 - Nuno Schumacher
One-Class Models for Intrusion Detection at ISP Customer Networks. 28-41
Explainable AI/Social Impact of AI
- Simona D'Attanasio
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. 45-56 - Alexander Maletzky
CaTabRa: Efficient Analysis and Predictive Modeling of Tabular Data. 57-68 - Sesan Akintade, Seongtae Kim
Explaining Machine Learning-Based Feature Selection of IDS for IoT and CPS Devices. 69-80 - Waleed Jmoona
Explaining the Unexplainable: Role of XAI for Flight Take-Off Time Delay Prediction. 81-93 - Andrew J. Starkey
Towards Autonomous Developmental Artificial Intelligence: Case Study for Explainable AI. 94-105
Graph Neural Networks/Constraint Programming
- Yackov Lubarsky, Alexei Gaissinski, Pavel Kisilev:
Efficient Spatio-Temporal Graph Neural Networks for Traffic Forecasting. 109-120 - Julius Roeder
GCN-based Reinforcement Learning Approach for Scheduling DAG Applications. 121-134 - Navyasree Balamuralidhar, Pranav Surendran, Gaurav Singh, Shrutilipi Bhattacharjee, Ramya D. Shetty:
Prediction of Drug Interactions Using Graph-Topological Features and GNN. 135-144 - Loukas Chatzivasili, Emmanouil S. Rigas, Nick Bassiliades:
Scheduling the Service of Cargo Vessels in a Single Port with Spatial and Temporal Constraints. 145-156
IoT/Fuzzy Modeling/Augmented Reality
- Elena Puica:
Improving Supply Chain Management by Integrating RFID with IoT Shared Database: Proposing a System Architecture. 159-170 - Dionysios Koulouris
Utilizing AR and Hybrid Cloud-Edge Platforms for Improving Accessibility in Exhibition Areas. 171-182
Learning (Active-AutoEncoders-Federated)
- Vangjel Kazllarof
Active Learning Query Strategy Selection Using Dataset Meta-features Extraction. 185-194 - Anastasios E. Giannopoulos, Nikolaos Nomikos, Georgios Ntroulias, Theodoros Syriopoulos, Panagiotis Trakadas:
Maritime Federated Learning for Decentralized On-Ship Intelligence. 195-206 - Cristian Daniel Alecsa
OF-AE: Oblique Forest AutoEncoders. 207-219 - Mingyang Sheng, Yongqiang Ma
VAE-Based Generic Decoding via Subspace Partition and Priori Utilization. 220-232
Machine Learning
- Yu Wang, Junpeng Bao, Yanhua Li, Zhonghui Feng:
A Difference Measuring Network for Few-Shot Learning. 235-249 - Ayyoub Ahar
Accelerated Monitoring of Powder Bed Fusion Additive Manufacturing via High-Throughput Imaging and Low-Latency Machine Learning. 250-265 - André Ebert
AutoTiM - An Open-Source Service for Automated Provisioning and Operation of Time Series Based Machine Learning Models. 266-278 - A. Ferre, María Castilla
Characterization of an Absorption Machine Using Artificial Neural Networks. 279-291 - Konstantinos Panagiotis Fourkiotis, Athanasios Tsadiras:
Comparing Machine Learning Techniques for House Price Prediction. 292-303 - Nikolaos Giannakoulas
Forecasting Goal Performance for Top League Football Players: A Comparative Study. 304-315 - Cristian Blanco, Jesús Enrique Sierra-García, Matilde Santos:
Forecasting of Wind Turbine Synthetic Signals Based on Nonlinear Autoregressive Networks. 316-324 - Raman Goyal
Hybrid Machine Learning and Autonomous Control Assisted Framework for Fault Diagnostics and Mitigation in Diesel Engines. 325-339 - Cláudia Afonso
Machine Learning for Predicting Production Disruptions in the Wood-Based Panels Industry: A Demonstration Case. 340-351 - Seyedeh Razieh Ehsani Amrei
ML-Based Prediction of Carbon Emissions for Potato Farms in Iran. 352-361 - Marios Arampatzis, Georgios Theodoridis, Athanasios Tsadiras:
Pre-launch Fashion Product Demand Forecasting Using Machine Learning Algorithms. 362-372 - Joong-Lyul Lee
Rapid Thrombogenesis Prediction in Covid-19 Patients Using Machine Learning. 373-384
Natural Language
- Péter Kardos, Richárd Farkas:
Are These Descriptions Referring to the Same Entity or Just to Similar Ones? 387-398 - Kushal Shree Dhani, Benedikt Zundel, Doina Logofatu:
Efficient Approaches for the Discovery of Sensitive Information by Using Natural Language Processing Techniques. 399-410 - Bora Kat
Natural Language Processing for the Turkish Academic Texts in the Engineering Field: Key-Term Extraction, Similarity Detection, Subject/Topic Assignment. 411-424 - Md. Riyadh, M. Omair Shafiq:
Towards Automatic Evaluation of NLG Tasks Using Conversational Large Language Models. 425-437
Optimization-Genetic Programming
- Atiq ur Rehman
Cognitive Digital Twin in Manufacturing: A Heuristic Optimization Approach. 441-453 - Eduardo Bayona
Generation of Optimum Frenet Curves by Genetic Algorithms for AGVs. 454-464 - Eduardo Muñoz Palomeque
MPPT Control in an Offshore Wind Turbine Optimized with Genetic Algorithms and Unsupervised Neural Networks. 465-477 - Rasha S. Al Jassim, Karan Jetly, Shqran Al Mansoory, Muna Al-Balushi, Hilal Al Maqbali:
Predicting Hotel Performance in Oman with AI-Driven Predictive Analytic. 478-490 - Ron Triepels:
SASHA: Hyperparameter Optimization by Simulated Annealing and Successive Halving. 491-502
Robotics
- Piotr Reczek
Data Collection Automation in Machine Learning Process Using Robotic Manipulator. 505-514 - Rafael Sendra-Arranz
Emergence of Communication Through Artificial Evolution in an Orientation Consensus Task in Swarm Robotics. 515-526
Spiking NN
- Yijie Miao, Makoto Ikeda:
Lossless Method of Constraining Membrane Potential in Deep Spiking Neural Networks. 529-540 - Alberto Ayala, Angel Lareo
Matching Patterns of Temporal Neural Activity Using the Victor-Purpura Distance in Real-Time. 541-553
Text Mining/Transfer Learning
- Harris Partaourides
Thematic Modeling of UN Sustainable Development Goals: A Comparative Meta-based Approach. 557-568 - Daniel Biermann, Morten Goodwin, Ole-Christoffer Granmo:
Transfer Learning Through Knowledge-Infused Representations with Contextual Experts. 569-578
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