Zobrazeno 1 - 10
of 2 376
pro vyhledávání: '"P. Lamothe"'
With the advent of data-centric and machine learning (ML) systems, data quality is playing an increasingly critical role in ensuring the overall quality of software systems. Data preparation, an essential step towards high data quality, is known to b
Externí odkaz:
http://arxiv.org/abs/2412.05240
Software performance modeling plays a crucial role in developing and maintaining software systems. A performance model analytically describes the relationship between the performance of a system and its runtime activities. This process typically exam
Externí odkaz:
http://arxiv.org/abs/2411.17548
Autor:
Nouriinanloo, Baharan, Lamothe, Maxime
Large Language Models (LLMs) have been revolutionizing a myriad of natural language processing tasks with their diverse zero-shot capabilities. Indeed, existing work has shown that LLMs can be used to great effect for many tasks, such as information
Externí odkaz:
http://arxiv.org/abs/2406.18740
Defect reduction planning plays a vital role in enhancing software quality and minimizing software maintenance costs. By training a black box machine learning model and "explaining" its predictions, explainable AI for software engineering aims to ide
Externí odkaz:
http://arxiv.org/abs/2405.13740
Autor:
Haley K. Andersen, Duncan G. Vardakas, Julie A. Lamothe, Tannis E. A. Perault, Kenneth B. Walsh, Robert B. Laprairie
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-10 (2024)
Abstract The type 1 cannabinoid receptor (CB1R) mediates neurotransmitter release and synaptic plasticity in the central nervous system. Endogenous, plant-derived, synthetic cannabinoids bind to CB1R, initiating the inhibitory G-protein (Gi) and the
Externí odkaz:
https://doaj.org/article/d71659cbb0bd4ebfacbd131960cfbc84
Machine learning (ML), including deep learning, has recently gained tremendous popularity in a wide range of applications. However, like traditional software, ML applications are not immune to the bugs that result from programming errors. Explicit pr
Externí odkaz:
http://arxiv.org/abs/2304.12857
The strengthening of linear relaxations and bounds of mixed integer linear programs has been an active research topic for decades. Enumeration-based methods for integer programming like linear programming-based branch-and-bound exploit strong dual bo
Externí odkaz:
http://arxiv.org/abs/2303.15573
In this work, we consider the dynamic unsplittable flow problem. This variation of the unsplittable flow problem has received little attention so far. The unsplittable flow problem is an NP-hard extension of the multi-commodity flow problem where eac
Externí odkaz:
http://arxiv.org/abs/2303.15558
Unsplittable flow problems cover a wide range of telecommunication and transportation problems and their efficient resolution is key to a number of applications. In this work, we study algorithms that can scale up to large graphs and important number
Externí odkaz:
http://arxiv.org/abs/2303.15550
Autor:
Damayantee Das, Anson Wong, Timothy N. Friedman, Bradley J Kerr, Harley T. Kurata, Shawn M. Lamothe
Publikováno v:
Channels, Vol 18, Iss 1 (2024)
The patch clamp method is a widely applied electrophysiological technique used to understand ion channel activity and cellular excitation. The formation of a high resistance giga-ohm seal is required to obtain high-quality recordings but can be chall
Externí odkaz:
https://doaj.org/article/16fad8fdf91f46d4ae05f38b525c4fad