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ORCID26th EANN 2025: Limassol, Cyprus
- Lazaros S. Iliadis
, Ilias Maglogiannis, Efthyvoulos Kyriacou, Chrisina Jayne:
Engineering Applications of Neural Networks - 26th International Conference, EANN 2025, Limassol, Cyprus, June 26-29, 2025, Proceedings, Part I. Communications in Computer and Information Science 2581, Springer 2025, ISBN 978-3-031-96195-3
Deep Learning/Classification
- Yixuan Wang, Cristina Hava Muntean, Pramod Pathak, Paul Stynes:
A Real-Time Human Action Recognition Model for Assisted Living. 3-16 - Ahlem Harhad, David Durand, Cyril Drocourt, Gil Utard:
A Survey of Federated Learning-Based Intrusion Detection Methods in Medical IoT. 17-30 - Jordi Grau-Haro, Javier Naranjo-Alcazar, Jesús López Ballester, David Almenar, Pedro Zuccarello:
AI-Based Automatic Counting and Classification of aedes Mosquito Eggs In Field Traps. 31-44 - Gerico Vidanes, David Toal, Andy J. Keane, Daniel Xu Zhang, Marco Nunez, Jon Gregory:
An Empirical Review of Uncertainty Estimation for Quality Control in CAD Model Segmentation. 45-58 - Jayani Hewavitharana, Amida Anand, Karl Peter Giese, Carolina Moretti Ierardi, Kathleen Steinhofel:
Brain Inspired Learning for Neural Networks. 59-72 - Md. Rabiul Islam, Doina Logofatu:
Comparative Analysis of Machine Learning Techniques for Chronic Kidney Disease Prediction Efficiency. 73-86 - Farhaan Ebadulla, B. V. Gaurav, H. Manoj, Arti Arya, Nazmin Begum, K. Kruthik:
Detecting Anomalous Self-citations Using Citation Network Analysis and LLMs. 87-99 - Mouad El Omari, Younes El Belghiti, Hanae Belmajdoub, Khalid Minaoui, Samir Saoudi:
Early Detection of Voice Pathology from Cry Analysis Using Non-interpretable Features and Parallel 1D CNN. 100-111 - Sara Boanca:
Easy, Fast and Reliable Modulo and Linear Congruential Generator Approximation with Artificial Neural Networks. 112-127 - Asfak Ali, Jotiraditya Banerjee, Debam Saha, Akash Dutta, Friedhelm Schwenker, Ram Sarkar:
EEG-Based Hybrid Emotion Recognition Model with Statistical-Wavelet Features and Modality-Agnostic Loss. 128-140 - José Ramón Rodríguez-Ossorio, Antonio Morán, Juan José Fuertes, Claudio Gallicchio, Lidia Roca, Manuel Domínguez:
ESN with Delayed Inputs to Model Industrial Processes. 141-153 - Telma Garção, David Belo, Joana Sousa, João Ferreira:
Exploring Knowledge Distillation for Model Compression in Edge Environments. 154-167 - Muhammed Adil Yatkin, Mihkel Kõrgesaar, Jani Romanoff, Joshua Stuckner, Ümit Islak, Hasan Kurban:
Exploring Various Sequential Learning Methods for Deformation History Modeling. 168-180 - Sumedh Ravindran, Shreyas Mallesh, Raghavendra S. Bhatagunaki, Srikrishna R. Chitnis, Shylaja S. Sharath:
FusionNet: Leveraging Dual Speech Separation Networks for Enhanced Multi-speaker Isolation. 181-194 - Saddam Hossain, Doina Logofatu:
Hybrid Deep Learning and Gradient Boosting for Superior Sentiment Analysis: A Comparative Study. 195-208 - Reshma Maharjan, Per-Arne Andersen, Lei Jiao:
Implementing Hybrid Tsetlin Machine and Q-Learning for Solving the Job Shop Scheduling. 209-224 - Ioannis Karampinis, Konstantinos Morfidis, Konstantinos Kostinakis, Lazaros S. Iliadis:
Maximum Interstory Drift Ratio (MIDR) Equations for R/C Buildings Using Machine Learning Procedures. 225-239 - Anshuli Chikhale, Divyam Kakani:
MRI-Based Brain Tumor Classification Using Ensemble CNN, VGG16, and ResNet50 Model. 240-253 - Thomas Schuster, Marian Lambert, Nico Döring, Julius Trögele:
Needle-in-the-Haystack Testing LLMs with a Complex Reasoning Task. 254-266 - Hussain Otudi, Shelly Gupta, Ameen Abdel Hai, Rafaa Aljurbua, Abdulrahman Alharbi, Zoran Obradovic:
Utilizing Multiple Data Sources to Improve Prediction of Severe Weather Events Through Spatio-Temporal Analysis. 267-280
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