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09/21/2023
Predictability and Comprehensibility in Post-Hoc XAI Methods: A User-Centered Analysis
Post-hoc explainability methods aim to clarify predictions of black-box ...
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07/17/2023
Towards eXplainable AI for Mobility Data Science
This paper presents our ongoing work towards XAI for Mobility Data Scien...
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05/16/2023
Low-complexity deep learning frameworks for acoustic scene classification using teacher-student scheme and multiple spectrograms
In this technical report, a low-complexity deep learning system for acou...
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10/16/2022
Robust, General, and Low Complexity Acoustic Scene Classification Systems and An Effective Visualization for Presenting a Sound Scene Context
In this paper, we present a comprehensive analysis of Acoustic Scene Cla...
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06/13/2022
Low-complexity deep learning frameworks for acoustic scene classification
In this report, we presents low-complexity deep learning frameworks for ...
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05/30/2022
Machine Learning Methods for Health-Index Prediction in Coating Chambers
Coating chambers create thin layers that improve the mechanical and opti...
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10/08/2021
Minimal-Configuration Anomaly Detection for IIoT Sensors
The increasing deployment of low-cost IoT sensor platforms in industry b...
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06/12/2021
A Low-Compexity Deep Learning Framework For Acoustic Scene Classification
In this paper, we presents a low-complexity deep learning frameworks for...
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04/02/2020
Multi-Modal Video Forensic Platform for Investigating Post-Terrorist Attack Scenarios
The forensic investigation of a terrorist attack poses a significant cha...
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04/16/2019
