research
∙
04/06/2023
Spintronic Physical Reservoir for Autonomous Prediction and Long-Term Household Energy Load Forecasting
In this study, we have shown autonomous long-term prediction with a spin...
share
research
∙
09/05/2022
RX-ADS: Interpretable Anomaly Detection using Adversarial ML for Electric Vehicle CAN data
Recent year has brought considerable advancements in Electric Vehicles (...
research
∙
02/25/2022
Self-Supervised and Interpretable Anomaly Detection using Network Transformers
Monitoring traffic in computer networks is one of the core approaches fo...
research
∙
06/05/2019
Combining Physics-Based Domain Knowledge and Machine Learning using Variational Gaussian Processes with Explicit Linear Prior
Centuries of development in natural sciences and mathematical modeling p...
research
∙
12/06/2018
On Critical Infrastructures, Their Security and Resilience - Trends and Vision
This short paper is presented in observance and promotion of November, t...
research
∙
11/28/2018
An Adversarial Approach for Explainable AI in Intrusion Detection Systems
Despite the growing popularity of modern machine learning techniques (e....
research
∙
10/29/2016
Building Energy Load Forecasting using Deep Neural Networks
Ensuring sustainability demands more efficient energy management with mi...
research
∙
08/25/2016
