Results 71 to 80 of about 3,156,706 (370)

A conceptual approach to gene expression analysis enhanced by visual analytics [PDF]

, 2013
The analysis of gene expression data is a complex task for biologists wishing to understand the role of genes in the formation of diseases such as cancer.
Andrews, Simon, Aufaire, Marie-Aude, Burger, Albert, McLeod, Kenneth, Melo, Cassio, Orphanides, Constantinos   +5 more
core   +2 more sources

Deep recommender engine based on efficient product embeddings neural pipeline

, 2019
Predictive analytics systems are currently one of the most important areas of research and development within the Artificial Intelligence domain and particularly in Machine Learning.
Damian, Andrei, Dumitrescu, Bogdan, Piciu, Laurentiu, Simion-Constantinescu, Andrei, Tapus, Nicolae   +4 more
core   +1 more source

A Complete and Terminating Execution Model for Constraint Handling Rules [PDF]

Theory and Practice of Logic Programming, Volume 10, Special Issue 4-6, July 2010, pp 597-610, 2010
We observe that the various formulations of the operational semantics of Constraint Handling Rules proposed over the years fall into a spectrum ranging from the analytical to the pragmatic. While existing analytical formulations facilitate program analysis and formal proofs of program properties, they cannot be implemented as is.
arxiv   +1 more source

A review of artificial intelligence in brachytherapy

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Artificial intelligence (AI) has the potential to revolutionize brachytherapy's clinical workflow. This review comprehensively examines the application of AI, focusing on machine learning and deep learning, in various aspects of brachytherapy.
Jingchu Chen, Richard L. J. Qiu, Tonghe Wang, Shadab Momin, Xiaofeng Yang   +4 more
wiley   +1 more source

Novel CT radiomics models for the postoperative prediction of early recurrence of resectable pancreatic adenocarcinoma: A single‐center retrospective study in China

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose To assess the predictive capability of CT radiomics features for early recurrence (ER) of pancreatic ductal adenocarcinoma (PDAC). Methods Postoperative PDAC patients were retrospectively selected, all of whom had undergone preoperative CT imaging and surgery. Both patients with resectable or borderline‐resectable pancreatic cancer met
Xinze Du, Yongsu Ma, Kexin Wang, Xiejian Zhong, Jianxin Wang, Xiaodong Tian, Xiaoying Wang, Yinmo Yang   +7 more
wiley   +1 more source

Clinical and Imaging Features of Sporadic and Genetic Frontotemporal Lobar Degeneration TDP‐43 A and B

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Certain frontotemporal lobar degeneration subtypes, including TDP‐A and B, can either occur sporadically or in association with specific genetic mutations. It is uncertain whether syndromic or imaging features previously associated with these patient groups are subtype or genotype specific.
Sean Coulborn, Rhiana Schafer, Ashlin R. K. Roy, Andrzej Sokolowski, Noah G. Cryns, Dana Leichter, Argentina Lario Lago, Eliana Marisa Ramos, Yann Cobigo, Salvatore Spina, Lea T. Grinberg, Daniel H. Geschwind, Maria L. Gorno‐Tempini, Joel H. Kramer, Howard J. Rosen, Bruce L. Miller, William W. Seeley, David C. Perry   +17 more
wiley   +1 more source

Semantic-aware Workflow Construction and Analysis for Distributed Data Analytics Systems

IEEE International Symposium on High-Performance Parallel Distributed Computing, 2019
Logging is a universal approach to recording important events in system workflows of distributed systems. Current log analysis tools ignore the semantic knowledge that is key to workflow construction and analysis.
Aidi Pi, Wei Chen, Shaoqi Wang, Xiaobo Zhou   +3 more
semanticscholar   +1 more source

COSIBAS Platform—Cognitive Services for IoT-Based Scenarios: Application in P2P Networks for Energy Exchange

Sensors, 2023
The revolution generated by the Internet of Things (IoT) has radically changed the world; countless objects with remote sensing, actuation, analysis and sharing capabilities are interconnected over heterogeneous communication networks.
Diego Gutiérrez Martín, Sebastian Lopez Florez, Alfonso González-Briones, Juan M. Corchado   +3 more
doaj   +1 more source

Decidable Tag-Based Semantic Subtyping for Nominal Types, Tuples, and Unions [PDF]

Proceedings of the 21st Workshop on Formal Techniques for Java-like Programs (FTfJP '19). ACM, New York, NY, USA, 2019, Article 3, 11 pages, 2019
Semantic subtyping enables simple, set-theoretical reasoning about types by interpreting a type as the set of its values. Previously, semantic subtyping has been studied primarily in the context of statically typed languages with structural typing. In this paper, we explore the applicability of semantic subtyping in the context of a dynamic language ...
arxiv   +1 more source

Using linked data for data analytic literary research: Case BookSampo—Finnish fiction literature on the semantic web [PDF]

Journal of the Association for Information Science and Technology, EarlyView.
Abstract The BookSampo Linked Data portal was deployed in 2011 by the Finnish Public Libraries and has today nearly 2 million annual users. Its Linked Data covers virtually all Finnish fiction literature but the data has not been used for data analyses in Digital Humanities. This paper discusses how the Knowledge Graph can be used for literary research
Annastiina Ahola, Telma Peura, Eero Hyvönen   +2 more
openalex   +2 more sources