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05/26/2023
Towards Certification of Machine Learning-Based Distributed Systems
Machine Learning (ML) is increasingly used to drive the operation of com...
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04/18/2023
The Metaverse: Survey, Trends, Novel Pipeline Ecosystem Future Directions
The Metaverse offers a second world beyond reality, where boundaries are...
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10/30/2022
Reward Shaping Using Convolutional Neural Network
In this paper, we propose Value Iteration Network for Reward Shaping (VI...
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10/23/2022
Speaker Identification from emotional and noisy speech data using learned voice segregation and Speech VGG
Speech signals are subjected to more acoustic interference and emotional...
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10/20/2022
New data poison attacks on machine learning classifiers for mobile exfiltration
Most recent studies have shown several vulnerabilities to attacks with t...
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09/28/2022
On the Robustness of Ensemble-Based Machine Learning Against Data Poisoning
Machine learning is becoming ubiquitous. From financial to medicine, mac...
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09/07/2022
Explainable Artificial Intelligence to Detect Image Spam Using Convolutional Neural Network
Image spam threat detection has continually been a popular area of resea...
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08/31/2022
Explainable Artificial Intelligence Applications in Cyber Security: State-of-the-Art in Research
This survey presents a comprehensive review of current literature on Exp...
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02/21/2022
Poisoning Attacks and Defenses on Artificial Intelligence: A Survey
Machine learning models have been widely adopted in several fields. Howe...
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11/04/2021
Temporal Fusion Based Mutli-scale Semantic Segmentation for Detecting Concealed Baggage Threats
Detection of illegal and threatening items in baggage is one of the utmo...
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10/07/2021
Towards Federated Learning-Enabled Visible Light Communication in 6G Systems
Visible light communication (VLC) technology was introduced as a key ena...
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09/01/2021
Selecting Optimal Trace Clustering Pipelines with AutoML
Trace clustering has been extensively used to preprocess event logs. By ...
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03/23/2021
Using Meta-learning to Recommend Process Discovery Methods
Process discovery methods have obtained remarkable achievements in Proce...
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12/01/2020
Deep Learning-Based Arrhythmia Detection Using RR-Interval Framed Electrocardiograms
Deep learning applied to electrocardiogram (ECG) data can be used to ach...
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03/29/2019
