3 papers
eess.IV2020
Diverse Knowledge Distillation (DKD): A Solution for Improving The Robustness of Ensemble Models Against Adversarial Attacks
Ali Mirzaeian, Jana Kosecka, Houman Homayoun +2
This paper proposes an ensemble learning model that is resistant to adversarial attacks. To build resilience, we introduced a training process where each member learns a radically…
eess.SP2019
End-to-End CNN+LSTM Deep Learning Approach for Bearing Fault Diagnosis
Amin Khorram, Mohammad Khalooei, Mansoor Rezghi
Fault diagnostics and prognostics are important topics both in practice and research. There is an intense pressure on industrial plants to continue reducing unscheduled downtime, p…
cs.CV2019
Self-Supervised Representation Learning via Neighborhood-Relational Encoding
Mohammad Sabokrou, Mohammad Khalooei, Ehsan Adeli
In this paper, we propose a novel self-supervised representation learning by taking advantage of a neighborhood-relational encoding (NRE) among the training data. Conventional unsu…