Zobrazeno 1 - 10
of 149
pro vyhledávání: '"DARABI, HOUSHANG"'
Deep learning models utilizing convolution layers have achieved state-of-the-art performance on univariate time series classification tasks. In this work, we propose improving CNN based time series classifiers by utilizing Octave Convolutions (OctCon
Externí odkaz:
http://arxiv.org/abs/2109.13696
Paralytic Ileus (PI) patients are at high risk of death when admitted to the Intensive care unit (ICU), with mortality as high as 40\%. There is minimal research concerning PI patient mortality prediction. There is a need for more accurate prediction
Externí odkaz:
http://arxiv.org/abs/2108.01267
Autor:
Theis, Julian, Darabi, Houshang
Decay Replay Mining is a deep learning method that utilizes process model notations to predict the next event. However, this method does not intertwine the neural network with the structure of the process model to its full extent. This paper proposes
Externí odkaz:
http://arxiv.org/abs/2108.00404
Process mining algorithms discover a process model from an event log. The resulting process model is supposed to describe all possible event sequences of the underlying system. Generalization is a process model quality dimension of interest. A genera
Externí odkaz:
http://arxiv.org/abs/2107.06319
Classification models for the multivariate time series have gained significant importance in the research community, but not much research has been done on generating adversarial samples for these models. Such samples of adversaries could become a se
Externí odkaz:
http://arxiv.org/abs/2004.00410
Autor:
Theis, Julian, Darabi, Houshang
Publikováno v:
IEEE Access, vol. 8, pp. 194410-194427, 2020
In process mining, process models are extracted from event logs using process discovery algorithms and are commonly assessed using multiple quality dimensions. While the metrics that measure the relationship of an extracted process model to its event
Externí odkaz:
http://arxiv.org/abs/2003.12168
This paper presents an approach to model an unknown Ladder Logic based Programmable Logic Controller (PLC) program consisting of Boolean logic and counters using Process Mining techniques. First, we tap the inputs and outputs of a PLC to create a dat
Externí odkaz:
http://arxiv.org/abs/1903.09513
Determining the optimal initial dose for warfarin is a critically important task. Several factors have an impact on the therapeutic dose for individual patients, such as patients' physical attributes (Age, Height, etc.), medication profile, co-morbid
Externí odkaz:
http://arxiv.org/abs/1903.09267
Autor:
Theis, Julian, Darabi, Houshang
Publikováno v:
IEEE Access, vol. 7, pp. 119787-119803, 2019
In complex processes, various events can happen in different sequences. The prediction of the next event given an a-priori process state is of importance in such processes. Recent methods have proposed deep learning techniques such as recurrent neura
Externí odkaz:
http://arxiv.org/abs/1903.05084
Time series classification models have been garnering significant importance in the research community. However, not much research has been done on generating adversarial samples for these models. These adversarial samples can become a security conce
Externí odkaz:
http://arxiv.org/abs/1902.10755