5 papers
SHAP-Weighted Cross-Modal Expert Fusion for Emotion and Sentiment Recognition: Evidence and Limits
Adis Alihodzic, Selma Skopljakovic Hubljar
Multimodal emotion and sentiment recognition is commonly addressed by early fusion, which concatenates modalities before classification, or late fusion, which combines independentl…
Cyber-Physical Anomaly Detection in IoT-Enabled Smart Grids Using Machine Learning and Metaheuristic Feature Optimization
Adis AlihodžiÄ, Eva Tuba, Milan Tuba
Modern smart grids rely on dense measurement infrastructures, communication links, and intelligent field devices. Although this improves supervision and control, it also increases…
GPU-Accelerated Deep Learning for Heatwave Prediction and Urban Heat Risk Assessment
Adis AlihodžiÄ
Heatwaves are an important problem in cities, and climate change makes this problem more difficult. In this paper, we present a GPU-based deep learning framework for next-day predi…
Application of Audio Fingerprinting Techniques for Real-Time Scalable Speech Retrieval and Speech Clusterization
Kemal Altwlkany, Sead DelaliÄ, Adis AlihodžiÄ +2
Audio fingerprinting techniques have seen great advances in recent years, enabling accurate and fast audio retrieval even in conditions when the queried audio sample has been highl…
A Recurrent Neural Network Approach to the Answering Machine Detection Problem
Kemal Altwlkany, Sead Delalic, Elmedin Selmanovic +2
In the field of telecommunications and cloud communications, accurately and in real-time detecting whether a human or an answering machine has answered an outbound call is of param…