Výsledky vyhledávání - "Ramakrishna Govindu"

Predicting inmates misconduct using the SHAP approach

Autor: Fábio M. Oliveira, Marcelo S. Balbino, Luis E. Zarate, Fawn Ngo, Ramakrishna Govindu, Anurag Agarwal, Cristiane N. Nobre

Publikováno v: Artificial Intelligence and Law.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::62701c1ec30dd9bf5df3013fbfbc1fc6
https://doi.org/10.1007/s10506-023-09352-z

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Malicious Software Threats

Autor: Anurag Agarwal, Calen MacDonald, Fawn T. Ngo, Ramakrishna Govindu

Publikováno v: The Palgrave Handbook of International Cybercrime and Cyberdeviance ISBN: 9783319784397
The Palgrave Handbook of International Cybercrime and Cyberdeviance ISBN: 9783319903071

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3ad50ba50c0f534515cddfa30df0010a
https://doi.org/10.1007/978-3-319-78440-3_35

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Traditional Regression Methods versus the Utility of Machine Learning Techniques in Forecasting Inmate Misconduct in the United States: An Exploration of the Prospects of the Techniques

Autor: Fawn T. Ngo, Ramakrishna Govindu, Anurag Agarwal

In the U.S., prison administrators often rely on risk assessment instruments to place and supervise inmates, as well as manage, plan and allocate resources. Hence, any improvement in the accuracy performance of risk assessment instruments is likely t

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0e93b667a94449afc327ed984ce7f33e

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Assessing the Predictive Utility of Logistic Regression, Classification and Regression Tree, Chi-Squared Automatic Interaction Detection, and Neural Network Models in Predicting Inmate Misconduct

Autor: Anurag Agarwal, Fawn T. Ngo, Ramakrishna Govindu

Publikováno v: American Journal of Criminal Justice. 40:47-74

This study assesses the relative utility of a traditional regression approach - logistic regression (LR) - and three classification techniques - classification and regression tree (CART), chi-squared automatic interaction detection (CHAID), and multi

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::2a69c070e8c251bfa37477b04686628b
https://doi.org/10.1007/s12103-014-9246-6

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A Software Agent-Component Based Framework for Multi-Agent Supply Chain Modelling and Simulation

Autor: Ratna Babu Chinnam, Ramakrishna Govindu

Publikováno v: Scopus-Elsevier

Multi-agent systems (MASs) have emerged as the most natural intrinsic paradigm for modelling complex systems, such as supply chains (SCs). However, their development process remains quite involved and extremely time consuming, hindering wide-spread a

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3ac028e647257d10d053ad121a8a326f
https://doi.org/10.1080/02286203.2010.11442569

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MASCF: A generic process-centered methodological framework for analysis and design of multi-agent supply chain systems

Autor: Ratna Babu Chinnam, Ramakrishna Govindu

Publikováno v: Computers & Industrial Engineering. 53:584-609

Multi-agent systems (MAS) are becoming popular for modeling complex systems such as supply chains. However, development of multi-agent systems remain quite involved and extremely time consuming. Currently, there exist no generic methodologies for mod

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::22908c820bf7979b1f12828f826c9876
https://doi.org/10.1016/j.cie.2007.06.003

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