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ORCID18th AIAI 2025: Limassol, Cyprus
- Ilias Maglogiannis
, Lazaros S. Iliadis, Andreas Andreou, Antonios Papaleonidas:
Artificial Intelligence Applications and Innovations - 21st IFIP WG 12.5 International Conference, AIAI 2025, Limassol, Cyprus, June 26-29, 2025, Proceedings, Part III. IFIP Advances in Information and Communication Technology 757, Springer 2025, ISBN 978-3-031-96230-1 - Youssef El Kouch, Stéphanie Combettes, Bérangère Lartigue:
A Multi-agent System Approach for Dynamic and Adaptive Daily Profile Detection in Building Data. 1-14 - Aikaterini Vouta Papageorgiou, Georgios Symeonidis, Evangelos Nerantzis, George A. Papakostas:
Agile MLOps: Bridging the Gap Between Agility and Machine Learning Operations. 15-27 - Markus Aho, Jukka Niittymaa, Pia Heilmann, George Nikolakopoulos, Anton Koval, Esa Hiltunen:
Artificial Intelligence in Finnish and Swedish Workflows: A Comparative Survey of Micro- and Large-Scale Enterprises. 28-42 - Jhelum Das, Vandana M. Ladwani, V. Ramasubramanian:
Clustering by Limit-Cycles in Hopfield Neural Network. 43-56 - Amjad Alraizza, Abdulmohsen Algarni, Asmaa Alrayzah:
Enhancing Ransomware Detection Using Storage Access Pattern. 57-73 - Gregory Davrazos, Nikos Fazakis, Sotiris Kotsiantis:
Fault Detection in Inverter-Driven Permanent Magnet Synchronous Motor Systems Using Semi-Supervised Learning. 74-86 - Franck Monga Tamala, Dustin van der Haar:
Fingerprint Minutiae-Based Cryptographic Key Generation: Towards Secure and Usable Authentication. 87-98 - Selvine G. Mathias, Muhammad Uzair Akmal, Saara Asif, Simon Knollmeyer, Leonid Koval, Daniel Grossmann:
Handling Anonymized Non-numerical Features in Data Using Transformations for Regression Models. 99-111 - Matteo De Rizzo, Jan Treur:
Higher-Order Multi-adaptive Neural Network Modeling of the Role of Epigenetics in Epilepsy. 112-128 - Ladislav Lenc, Jirí Martínek, Pavel Král:
Historical Map Understanding Using End-to-End Methods. 129-139 - Prathmesh Dudhe, Jason Li, Muhammad Hamza Yousuf, Jens Lehmann, Sahar Vahdati:
ICU Mechanical Ventilation Data Imputation. 140-154 - Dimitrios Taranis, Gerasimos Razis, Ioannis Anagnostopoulos:
Immigration Detection in Multilanguage Tweets Using Machine Learning Algorithms. 155-168 - Konstantinos Chrysanthos Sofianos, Stefanidakis Michael, Maragoudakis Manolis, Kaponis Alexios, Georgaki Anastasia, Bukauskas Linas:
Integrating Artificial Intelligence and Digital Tools to Enhance Learning and Accessibility in Music Education. 169-181 - Emna Klai, Ahmed Toujani, Manel Zaghdoudi, Wahbi Jaouadi, Imed Riadh Farah, Sami Faïz:
Interest-Based Pattern Mining for Deforestation Analysis in the Kroumiria Region, Tunisia. 182-195 - Farzad Vazinram:
Large-to-Small: Energy Consumption Reduction of Training the Fully Connected Layers. 196-210 - Neshat Ali Dad, Luis Fernando Lago-Fernández, Francisco B. Rodríguez:
Malware Detection Through API Call Frequency: Assessing Early-Stage versus Full-Time Classification Potential. 211-224 - Paul Jideani, Aurona Gerber:
Metaheuristics-Based Long Short-Term Memory Optimization for Emotion Classification. 225-239 - Jacob Aderetti, Jan Treur:
Multi-order Adaptive Dynamical System Modeling of the Role of Epigenetics in the Development of Hypomania. 240-256 - Abdul Sami Mohammed, Emmanuel Okafor:
Off-Policy Inspired Imitation Learning for Generation of Adversarial Malware. 257-269 - Christos Petridis, Abhudaya Shrivastava, Marijana Vacic, Zoran Obradovic:
PixelPath: Predicting UAV Trajectories in GPS-Restricted Environments Using Image Feature Extraction and Machine Learning. 270-284 - Anfal Albloushi, Ioannis Karamitsos, Andreas Kanavos, Sanjay Modak:
Predicting Vessel Arrival Time Using Machine Learning for Enhanced Port Efficiency and Optimal Berth Allocation. 285-299 - George Raftopoulos, Gregory Davrazos, Theodor Panagiotakopoulos, Sotiris Kotsiantis, Achilles Kameas:
Semi-supervised Learning for Early Certification Prediction in MOOCs. 300-314 - Panthadeep Bhattacharjee, Angshuman Jana, Sandeep Vidyapu:
So-Connect: Recommending Layer-Wise Connections in Social Networks Using SNN-DBSCAN. 315-329 - Abhijeet Kumar, M. Srinivas, R. B. V. Subramanyam:
Time Series Analysis Using Memory Enhanced Liquid Neural Network. 330-341 - Dionysios Koulouris, Dimitrios Kalathas, Andreas Menychtas, Apostolos Pasias, Vasileios Athanasiou, Panayiotis Tsanakas, Ilias Maglogiannis:
A Web-Based Information System for Medical Forensics Incorporating Generative AI in Reports Compilation. 342-352 - Mohammed Yacoubi, Omar Moussaoui, Cyril Drocourt:
Explainable AI-Driven Feature Selection for Improved Intrusion Detection Systems in the Internet of Medical Things. 353-366 - Lulu Ito, Naoya Sawada, Katsuyuki Maeda, Kilho Shin:
Explainable Surface-Level Malware Analysis Through Scalable and Accurate Feature Selection. 367-382 - Apostolos Mavridis, Stergios Tegos, Christos Anastasiou, Maria Papoutsoglou, Georgios Meditskos:
Integrating AI and RDF Knowledge Graphs with MITRE ATT&CK for CTI Insights. 383-393 - Aziz Amari, Mohamed Achref Ben Ammar:
Markov-Enhanced Clustering for Long Document Summarization: Tackling the 'Lost in the Middle' Challenge with Large Language Models. 394-405 - Aroua Hedhili, Yasmine Ben Tiba:
Merged LIME and SHAP eXplanation (MLSX): BERT Case in NER Task. 406-420 - Ionut Catalin Grecu, Paul-Stefan Popescu, Marian Cristian Mihaescu:
OPJUSTICE - A Multi-label Text Classification Model. 421-433 - Syed Abdul Gaffar Shakhadri, Kruthika KR, Rakshit Aralimatti:
SHAKTI: A 2.5 Billion Parameter Small Language Model Optimized for Edge AI and Low-Resource Environments. 434-447 - Dan Dodun-Des-Perrieres, Madalina Raschip:
Unified Mental Health Disorder Detection on Social Media. 448-463
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