Zobrazeno 1 - 10
of 350
pro vyhledávání: '"Filar, P."'
Environmental scientists frequently rely on time series of explanatory variables to explain their impact on an important response variable. However, sometimes, researchers are less interested in raw observations of an explanatory variable than in der
Externí odkaz:
http://arxiv.org/abs/2303.16073
Publikováno v:
Prace Geograficzne, Vol 2023, Iss 3, Pp 127-145 (2024)
Protected areas (PAs) serve as significant tourist destinations, drawing a substantial number of visitors annually. Over the past century, managers and scientists overseeing PAs have sought to identify indicators that specify the maximum number of to
Externí odkaz:
https://doaj.org/article/f3a3af5445e146a9b99f2c269a80e7f2
Autor:
Tejas Patil, MD, Alyse Staley, MS, Yunan Nie, MD, Mandy Sakamoto, MD, Margaret Stalker, MD, James M. Jurica, MD, MBA, Kenna Koehler, BA, Amanda Cass, PharmD, Halle Kuykendall, BA, Emily Schmitt, MS, Emma Filar, BA, Evelina Reventaite, MS, Kurt D. Davies, PhD, Hala Nijmeh, PhD, Mary Haag, PhD, Benjamin A. Yoder, PharmD, Paul A. Bunn, MD, Erin L. Schenk, MD, PhD, Dara L. Aisner, MD, PhD, Wade T. Iams, MD, Melina E. Marmarelis, MD, D. Ross Camidge, MD, PhD
Publikováno v:
JTO Clinical and Research Reports, Vol 5, Iss 2, Pp 100637- (2024)
Introduction: Acquired MET gene amplification, MET exon 14 skip mutations, or MET fusions can emerge as resistance mechanisms to tyrosine kinase inhibitors (TKIs) in patients with lung cancer. The efficacy and safety of combining MET TKIs (such as cr
Externí odkaz:
https://doaj.org/article/63d7bcf67c604305b7273bb565a9b37b
Autor:
Raff, Edward, Fleshman, William, Zak, Richard, Anderson, Hyrum S., Filar, Bobby, McLean, Mark
Recent works within machine learning have been tackling inputs of ever-increasing size, with cybersecurity presenting sequence classification problems of particularly extreme lengths. In the case of Windows executable malware detection, inputs may ex
Externí odkaz:
http://arxiv.org/abs/2012.09390
False positives (FPs) have been an issue of extreme importance for anti-virus (AV) systems for decades. As more security vendors turn to machine learning, alert deluge has hit critical mass with over 20% of all alerts resulting in FPs and, in some or
Externí odkaz:
http://arxiv.org/abs/2010.12080
Autor:
Raff, Edward, Zak, Richard, Munoz, Gary Lopez, Fleming, William, Anderson, Hyrum S., Filar, Bobby, Nicholas, Charles, Holt, James
Yara rules are a ubiquitous tool among cybersecurity practitioners and analysts. Developing high-quality Yara rules to detect a malware family of interest can be labor- and time-intensive, even for expert users. Few tools exist and relatively little
Externí odkaz:
http://arxiv.org/abs/2009.03779
We consider the problem of sensitivity of threshold risk, defined as the probability of a function of a random variable falling below a specified threshold level $\delta >0.$ We demonstrate that for polynomial and rational functions of that random va
Externí odkaz:
http://arxiv.org/abs/2008.12440
Autor:
Filar, Bobby, French, David
It is becoming more common that adversary attacks consist of more than a standalone executable or script. Often, evidence of an attack includes conspicuous process heritage that may be ignored by traditional static machine learning models. Advanced a
Externí odkaz:
http://arxiv.org/abs/2008.04676
Autor:
Filar, Jerzy, Streipert, Sabrina
We introduce the term net-proliferation in the context of fisheries and establish relations between the proliferation and net-proliferation that are economically and sustainably favored. The resulting square root laws are analytically derived for spe
Externí odkaz:
http://arxiv.org/abs/2005.00913
Publikováno v:
Annals of Operations Research, 261(1-2):393-399, 2018
An instance of Hamiltonian cycle problem can be solved by converting it to an instance of Travelling salesman problem, assigning any choice of weights to edges of the underlying graph. In this note we demonstrate that, for difficult instances, choosi
Externí odkaz:
http://arxiv.org/abs/1902.10356