Results 81 to 90 of about 7,127,658 (298)

Feature Selection in Automatic Music Genre Classification [PDF]

, 2008
This paper presents the results of the application of a feature selection procedure to an automatic music genre classification system. The classification system is based on the use of multiple feature vectors and an ensemble approach, according to time ...
Celso A. A. Kaestner, Carlos N. Silla Jr., Alessandro L. Koerich, Silla Jr, Carlos N., Koerich, Alessandro L., Kaestner, Celso A.A.   +5 more
core   +1 more source

Feature importance of utilized AE dataset.

, 2021
Feature importance of utilized AE dataset.
Muhammad Shazwan Mahmud (9640767), Zazilah May (9306002), M. K. Alam (7751993), Nazrul Anuar Nayan (11846681), Noor A’in A. Rahman (9640770)   +4 more
core   +1 more source

“We Cannot Talk as a Family”: Complexities of Survivorship Communication Among Hispanic/Latino Young Adult Survivors of Childhood Cancer, Parents, and Clinicians

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Young adult childhood cancer survivors (YA‐CCS) have an increased risk of treatment‐related health complications throughout their lives. Lifelong survivorship care is recommended, yet many YA‐CCS experience disruptions in care during pediatric‐to‐adult transitions and do not receive recommended survivorship care.
Kevin Shanchen Pu, Nicole Fernández‐Viña, Briana C. Martin‐Villa, Daniela Ramirez, Rebecca M. Lewinsohn, Mary Smith, Heidi Boynton, Lidia Schapira, Stephanie M. Smith   +8 more
wiley   +1 more source

Feature importance using DT, RF, and XGBoost.

, 2022
Feature importance using DT, RF, and XGBoost.
Hong Siang Chua (11979210), Asoke K. Nandi (11979204), Chee Peng Lim (11979216), Kuldeep Kaur Randhawa (11979207), Manjeevan Seera (11979213)   +4 more
core   +1 more source

Identifying Patterns of Hospitalizations Among Childhood Cancer Survivors: A Population‐Based Study

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Childhood cancer survivors (CCSs) experience more hospitalizations than the general population. We aimed to identify distinct hospitalization patterns among Queensland CCSs and the associated characteristics. Methods Cases (aged ≤14 years) diagnosed between 1995 and 2019 while residents of Queensland were identified through the ...
Hai Pham, Teyl Engstrom, Peter Baade, Natalie Bradford, Sarah Pont, Louise Marquart‐Wilson, Natasha Nassar, Jason D. Pole   +7 more
wiley   +1 more source

Ranking Feature Importance Objectives for Explainable Classification

IEEE Access
Recent studies on explainable machine learning models often analyse feature importance after training, but this results in a model that does not capture feature dependencies and requires extra computational resources for explainability.
Pragya Gupta, Sanchita Mondal, Aishwaryaprajna, Debashree Guha, Debjani Chakraborty   +4 more
doaj   +1 more source

Inflammation as an important feature of osteoarthritis. [PDF]

Bulletin of the World Health Organization, 2003
This section looks back to some ground-breaking contributions to public health, reproducing them in their original form and adding a commentary on their significance from a modern-day perspective. To complement the theme of this month's Bulletin, Peter Brooks reviews osteoarthritis in the light of George E.
openaire   +3 more sources

Feature importance results using random forest.

, 2021
Feature importance results using random forest.
Sang Ok Choi (11426728), Sungyun Choi (11426725), Haneul Eom (11426722)   +2 more
core   +1 more source

Evidence‐Based Clinical Practice Guidelines for the Management of Pediatric Febrile Neutropenia: Resource‐Sensitive Recommendations for the Asian Continent

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Febrile neutropenia (FN) is a frequent and serious complication in children receiving cancer therapy. Standardizing FN management across Asia is challenging due to variable healthcare infrastructure, diagnostic capacity, and infection patterns; however, it could improve resource use and patient outcomes.
Joliza Patricia Cañeba, Shweta Bansal, Tea Reljic, Allyne Montecillo‐Aguelo, Hamidah Alias, Farrah Amaranto, Maria Stella Aquino‐Calingasan, Bambang Ardianto, Eggi Arguni, Sally Blair, Thi Tam Dang, Maria Beatriz Gepte, Samanmalee Gunasekara, Andini Handayani, Miriam Kimpo, Catherine G. Lam, Nawachai Lertvivatpong, Sergio Licona, Ana Loseo, Ratha Mlis, Vivian Moreno Berrio, Nguyen Hoai Anh, Anna Lisa Ong‐Lim, Ha Thu Pham, Krishna Sagar Sharma, Bun Sereyleak, Sally Jane G. Velasco‐Aro, Su Yadana, Ambuj Kumar, Sheena Mukkada   +29 more
wiley   +1 more source

Wrapper method for feature importance identification.

, 2023
Wrapper method for feature importance identification.
Thomas Decourselle (12238250), Raphaël Couturier (12238253), Zhihao Chen (513264), Thibaut Pommier (12238244), Yves Cottin (87013), Sheikh Shah Mohammad Motiur Rahman (15419064), Alexandre Cochet (87005), Alain Lalande (87007), Michel Salomon (12238247)   +8 more
core   +1 more source