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Session V-18: Artificial Intelligence and Data Mining
7/3/24, 4:40 PM - 7/3/24, 7:00 PM (Europe/Malta) (2 hours 20 minutes)

Session chair(s): Akagic Amila & Nerval Junior

Paper  ID

Title

Authors

147 

Harnessing Machine Learning for Predictive Analytics: A Case Study of Lassa Fever Outbreaks in Nigeria 

Daniel Quezada*, Sampson Akwafuo, Samarth Halyal (USA)  

357 

Exploring Convolutional Autoencoder Efficacy in Noise Removal for Image Processing and Computer Vision: A Study Using the MNIST Dataset 

Elma Kandic, Amila Akagic*, Mahdi Bohlouli (Bosnia and Herzegovina) 

410 

Alzheimer’s Disease and Frontotemporal Dementia Prediction Using Variational Mode Decomposition and Machine Learning 

Samayan Bhattacharya*, Kseniia Kriukova, Alexis Bennett, Celina Alba, Dominique Duncan (India) 

184 

Comparative Analysis of Multilingual Text Classification Techniques: A Review of Current Approaches and Emerging Trends 

Kawther Dridi*, Wahiba Ben Abdessalem Karâa (Tunisia) 

624 

Mixed Reinforcement Learning and Sliding Mode Controller Design for Robot Application 

Amine Mebarki, Mohamed ZERROUGUI* (France) 

382 

Enabling Efficient and Flexible Interpretability of Data-Driven Anomaly Detection in Industrial Processes with AcME-AD 

Valentina Zaccaria, Chiara Masiero, David Dandolo, Gian Antonio Susto*, Riccardo De Monte (Italy)

68 

Pred-IFDSS: An Intelligent Financial Decision Support System Based on Machine Learning Models 

Zouaghia ZOUAGHIA*, Zahra Kodia, Lamjed Ben Said (Tunisia)

571 

Privacy-preserving gradient-based fair federated learning 

Janis Adamek*, Moritz Schulze Darup (Germany)