Zobrazeno 1 - 10
of 169
pro vyhledávání: '"P. ZYCHOWSKI"'
Autor:
Ren, Shangsi, Beeche, Cameron A., Shi, Zhiyi, Garcia, Maria Acevedo, Zychowski, Katherine, Leng, Shuguang, Roghanchi, Pedram, Pu, Jiantao
This study aims to establish the causal relationship network between various factors leading to workday loss in underground coal mines using a novel causal artificial intelligence (AI) method. The analysis utilizes data obtained from the National Ins
Externí odkaz:
http://arxiv.org/abs/2402.05940
In recent years, there has been growing interest in developing robust machine learning (ML) models that can withstand adversarial attacks, including one of the most widely adopted, efficient, and interpretable ML algorithms-decision trees (DTs). This
Externí odkaz:
http://arxiv.org/abs/2312.09078
Autor:
Kartika Wardhani, Sydnee Yazzie, Onamma Edeh, Martha Grimes, Connor Dixson, Quiteria Jacquez, Katherine E. Zychowski
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-16 (2024)
Abstract Woodsmoke (WS) exposure is associated with significant health-related sequelae. Different populations can potentially exhibit varying susceptibility, based on endocrine phenotypes, to WS and investigating neurological impacts following inhal
Externí odkaz:
https://doaj.org/article/734c33db363446aaa1c386c1e9883581
Autor:
Kartika Wardhani, Sydnee Yazzie, Charlotte McVeigh, Onamma Edeh, Martha Grimes, Quiteria Jacquez, Connor Dixson, Edward Barr, Rui Liu, Alicia M. Bolt, Changjian Feng, Katherine E. Zychowski
Publikováno v:
Particle and Fibre Toxicology, Vol 21, Iss 1, Pp 1-20 (2024)
Abstract Background Rural regions of the western United States have experienced a noticeable surge in both the frequency and severity of acute wildfire events, which brings significant challenges to both public safety and environmental conservation e
Externí odkaz:
https://doaj.org/article/f6fcd3dbc87b44e19de66eafa8db5e9e
Autor:
Żychowski, Adam, Mańdziuk, Jacek, Bondi, Elizabeth, Venugopal, Aravind, Tambe, Milind, Ravindran, Balaraman
Publikováno v:
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, IJCAI 2022, 620-627
Green Security Games have become a popular way to model scenarios involving the protection of natural resources, such as wildlife. Sensors (e.g. drones equipped with cameras) have also begun to play a role in these scenarios by providing real-time in
Externí odkaz:
http://arxiv.org/abs/2204.14173
Autor:
Żychowski, Adam, Mańdziuk, Jacek
Publikováno v:
International Conference on Neural Information Processing, ICONIP 2021, CCIS 1516, 530-539
The paper proposes a novel neuroevolutionary method (NESG) for calculating leader's payoff in Stackelberg Security Games. The heart of NESG is strategy evaluation neural network (SENN). SENN is able to effectively evaluate leader's strategies against
Externí odkaz:
http://arxiv.org/abs/2109.13036
An underlying assumption of Stackelberg Games (SGs) is perfect rationality of the players. However, in real-life situations (which are often modeled by SGs) the followers (terrorists, thieves, poachers or smugglers) -- as humans in general -- may act
Externí odkaz:
http://arxiv.org/abs/1912.03564
Autor:
Żychowski, Adam, Mańdziuk, Jacek
Publikováno v:
International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2020, 2089-2091, ISBN: 978-1-4503-7518-4
The paper introduces a generic approach to solving Sequential Security Games (SGs) which utilizes Evolutionary Algorithms. Formulation of the method (named EASG) is general and largely game-independent, which allows for its application to a wide rang
Externí odkaz:
http://arxiv.org/abs/1911.05706
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