Zobrazeno 1 - 10
of 17 470
pro vyhledávání: '"A. Coon"'
Information theoretic leakage metrics quantify the amount of information about a private random variable $X$ that is leaked through a correlated revealed variable $Y$. They can be used to evaluate the privacy of a system in which an adversary, from w
Externí odkaz:
http://arxiv.org/abs/2409.13003
In this paper, we propose a new model for indoor THz communication assisted by RIS. We conduct a realistic modeling of indoor obstacles and analyze their impact on performance. Order statistics are applied to calculate the cumulative distribution fun
Externí odkaz:
http://arxiv.org/abs/2407.08386
Autor:
Rahman, Aniq Ur, Coon, Justin P.
In this paper, we propose an online algorithm mspace for forecasting node features in temporal graphs, which captures spatial cross-correlation among different nodes as well as the temporal auto-correlation within a node. The algorithm can be used fo
Externí odkaz:
http://arxiv.org/abs/2401.16800
Autor:
Rahman, Aniq Ur, Coon, Justin P.
This document aims to familiarize readers with temporal graph learning (TGL) through a concept-first approach. We have systematically presented vital concepts essential for understanding the workings of a TGL framework. In addition to qualitative exp
Externí odkaz:
http://arxiv.org/abs/2401.03988
In this paper, we study the problem of graph compression with side information at the decoder. The focus is on the situation when an unlabelled graph (which is also referred to as a structure) is to be compressed or is available as side information.
Externí odkaz:
http://arxiv.org/abs/2311.09111
Autor:
Emily DiBlasi, Erin A. Kaufman, Sam Webster, Emily E. Hagn, Andrey A. Shabalin, Danli Chen, Seonggyun Han, Rana Jawish, Eric T. Monson, Michael J. Staley, Brooks R. Keeshin, Anna R. Docherty, Amanda V. Bakian, Akiko Okifuji, Hilary Coon
Publikováno v:
BMC Medicine, Vol 22, Iss 1, Pp 1-10 (2024)
Abstract Background Chronic pain, regardless of its type, is a significant risk factor for suicide. However, not all individuals with chronic pain also experience suicidal thoughts and behaviors. Better characterization of clinical risk profiles and
Externí odkaz:
https://doaj.org/article/69c9783159fe4769bd3add20ee6721dc
Autor:
Kyle A. Sullivan, Matthew Lane, Mikaela Cashman, J. Izaak Miller, Mirko Pavicic, Angelica M. Walker, Ashley Cliff, Jonathon Romero, Xuejun Qin, Niamh Mullins, Anna Docherty, Hilary Coon, Douglas M. Ruderfer, International Suicide Genetics Consortium, VA Million Veteran Program, MVP Suicide Exemplar Workgroup, Michael R. Garvin, John P. Pestian, Allison E. Ashley-Koch, Jean C. Beckham, Benjamin McMahon, David W. Oslin, Nathan A. Kimbrel, Daniel A. Jacobson, David Kainer
Publikováno v:
Communications Biology, Vol 7, Iss 1, Pp 1-16 (2024)
Abstract Genome-wide association studies (GWAS) identify genetic variants underlying complex traits but are limited by stringent genome-wide significance thresholds. We present GRIN (Gene set Refinement through Interacting Networks), which increases
Externí odkaz:
https://doaj.org/article/f343f4bdee8040aa88cb30c2c4276f5a
The stochastic block model (SBM) is extensively used to model networks in which users belong to certain communities. In recent years, the study of information-theoretic compression of such networks has gained attention, with works primarily focusing
Externí odkaz:
http://arxiv.org/abs/2309.14464
Measuring the complexity of tree structures can be beneficial in areas that use tree data structures for storage, communication, and processing purposes. This complexity can then be used to compress tree data structures to their information-theoretic
Externí odkaz:
http://arxiv.org/abs/2309.09779
The Internet of Things (IoT) is an emerging next-generation technology in the fourth industrial revolution. In industrial IoT networks, sensing devices are largely deployed to monitor various types of physical processes. They are required to transmit
Externí odkaz:
http://arxiv.org/abs/2309.08297