Results 51 to 60 of about 7,127,658 (298)

Overall feature importance from RF.

, 2022
Overall feature importance from RF.
Lora Cavuoto (4358752), Jacqueline Hannan (14241821), Sahand Hajifar (14241818), Saeb Ragani Lamooki (14241815), Hongyue Sun (1469695), Fadel Megahed (14241824)   +5 more
core   +1 more source

Feature-importance-aware transmission control in semantic communications

ICT Express
Semantic communication shifts the focus from bit-level accuracy to task-relevant meaning. However, most methods assume equal importance across semantic units and rely on costly retraining, limiting scalability.
Seonghun Hong, Donghyun Lee, Dongwook Won, Wonjong Noh, Sungrae Cho   +4 more
doaj   +1 more source

Bridging the Loneliness Gap: Depression, Connectivity, and Isolation in Pediatric Oncology Patients and Their Peers

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Loneliness is associated with adverse physical and mental health outcomes and remains understudied in children and adolescents undergoing cancer therapy. Pediatric oncology patients may be at increased risk due to medical isolation and disruption of social networks.
Charlotte N. Stahlfeld, Scott H. Maurer, Michelle D. Watkinson, John Nury, Elise Barberis, Molly C. Mack   +5 more
wiley   +1 more source

Energy Conservation in Wireless Sensor Networks Using Partly-Informed Sparse Autoencoder

IEEE Access, 2019
The energy in wireless sensor networks is considered a scarce commodity, especially in scenarios where it is difficult or impossible to provide supplementary energy sources once the initially available energy is used up.
Babajide O. Ayinde, Abdulaziz Y. Barnawi
doaj   +1 more source

Feature-interaction detection based on feature-based specifications

, 2018
Formal specification and verification techniques have been used successfully to detect feature interactions. We investigate whether feature-based specifications can be used for this task. Feature-based specifications are a special class of specifications
Sven Apel (5428658), Christian Kästner (5428652), Thomas Thüm (5428715), Alexander von Rhein (5428712)   +3 more
core   +1 more source

Early Body Mass Index z‐Score Change and Resolution of Severe Malnutrition in Children With Sickle Cell Anemia in a Low‐Income Setting: A Prospective Single‐Arm Extension Study

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Children with sickle cell anemia (SCA) in low‐income settings are at risk of severe malnutrition, but optimal nutritional management has not been established. We evaluated an intensified ready‐to‐use therapeutic food (RUTF) regimen in children with persistent severe malnutrition after initial treatment and assessed whether early ...
Safiya Gambo, Shehu Umar Abdullahi, Hassan Adam Murtala, Halima Kabir, Khadija A. Shamsu, Sari A. Acra, Virginia A. Stallings, Mark Rodeghier, Michael R. DeBaun, Lauren J. Klein   +9 more
wiley   +1 more source

Soil liquefaction assessment using machine learning

Artificial Intelligence in Geosciences
Liquefaction is one of the prominent factors leading to damage to soil and structures. In this study, the relationship between liquefaction potential and soil parameters is determined by applying feature importance methods to Random Forest (RF), Logistic
Gamze Maden Muftuoglu, Kaveh Dehghanian
doaj   +1 more source

The importance of features and exponents

Linguistic Approaches to Bilingualism
Abstract Formal approaches to bi- and multilingual grammars rely on two important claims: (i) the grammatical architecture should be able to deal with mono- and bi-/multilingual data without any specific constraints for the latter, (ii) features play a pivotal role in accounting for patterns across and ...
Terje Lohndal, Michael T. Putnam
openaire   +1 more source

Central Nervous System Tumors Among Infants in Canada: A Report From CYP‐C

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Central nervous system (CNS) tumors in infants are rare, pose unique clinical challenges, and lack large‐scale evidence‐based data to guide management. This study seeks to describe CNS tumors in Canadian infants and to compare their outcomes with those of older children.
Samuel Sassine, Hallie Coltin, Sylvia Cheng, Lucie Lafay‐Cousin, Vanan Issai Magimairajan, Craig Erker, Stéphanie Vairy, Lynette Bowes, Adam Fleming, Donna Johnston, Sarah McKillop, Roona Sinha, Julie Bennett, Christina Coleman, Laura Wheaton, Shayna Zelcer, Samuele Renzi, Thai Hoa Tran   +17 more
wiley   +1 more source

Feature Selection Combining Artificial Bee Colony with [K-means] Clustering [PDF]

Jisuanji kexue yu tansuo
K-means clustering is a simple and efficient, fast in convergence and easy to implement statistical analysis method. However, the traditional [K-means] clustering algorithm is sensitive to the selection of initial clustering centers and easy to fall into
SUN Lin, LIU Menghan, XUE Zhan’ao
doaj   +1 more source