Results 31 to 40 of about 567,216 (263)

FusionSense: Emotion Classification Using Feature Fusion of Multimodal Data and Deep Learning in a Brain-Inspired Spiking Neural Network

Sensors, 2020
Using multimodal signals to solve the problem of emotion recognition is one of the emerging trends in affective computing. Several studies have utilized state of the art deep learning methods and combined physiological signals, such as the ...
Clarence Tan, Gerardo Ceballos, Nikola Kasabov, Narayan Puthanmadam Subramaniyam   +3 more
doaj   +1 more source

Psychosocial Functioning After Pediatric Bone Sarcoma: Generic and Survivor‐Specific Outcomes in Adolescent and Young Adult Patients

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Pediatric bone sarcoma patients and survivors may experience psychosocial challenges related to childhood cancer after their intensive, body‐altering treatment. This cross‐sectional study aimed to evaluate generic and survivor‐specific psychosocial outcomes in a national cohort of pediatric bone sarcoma patients and survivors, and ...
Hinke van der Hoek, Heleen Maurice‐Stam, Laura R. Beek, Jennifer van Dijk, Marjolein E. M. Langemeijer, Relinde W. Slooff‐Lentink, Alied M. van der Aa‐van Delden, Anne Westerweel, Marloes van Gorp, Hendrik W. B. Schreuder, Lianne M. Haveman, W. Peter Bekkering, Leonie G. Tigelaar, Johannes H. M. Merks, Martha A. Grootenhuis   +14 more
wiley   +1 more source

Application of a Brain-Inspired Spiking Neural Network Architecture to Odor Data Classification

Sensors, 2020
Existing methods in neuromorphic olfaction mainly focus on implementing the data transformation based on the neurobiological architecture of the olfactory pathway. While the transformation is pivotal for the sparse spike-based representation of odor data,
Anup Vanarse, Josafath Israel Espinosa-Ramos, Adam Osseiran, Alexander Rassau, Nikola Kasabov   +4 more
doaj   +1 more source

Ga s rule for knowledge discovery

Applied Artificial Intelligence, 2003
This article presents a new approach for structural rule extraction and knowledge discovery by means of Structural Galois Lattice and genetic algorithms. The approach synthesizes symbolic learning in feature extraction as a pre-processing and a subsymbolic learning as a post-processing for extracting rules.
Binti Abdullah, Nik Nailah, Liquière, Michel, Cerri, Stefano A.   +2 more
openaire   +2 more sources

Association Between Dinutuximab Beta Exposure and Post‐End‐of‐Treatment Survival in Neuroblastoma: A Weighted Patient‐Level Analysis of Three Clinical Studies

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Objectives The association between exposure to dinutuximab beta (DB) and event‐free survival (EFS) or overall survival (OS) of neuroblastoma patients was assessed using data collected during three clinical trials (five cohorts). Methods A systematic review (March 2026) was conducted to identify relevant studies (prospective; registered DB ...
Przemysław Holko, Holger N. Lode, Alberto Garaventa, Carla Manzitti, Roberto Luksch, Dominique Valteau‐Couanet, Marion Gambart, John Anderson, Juliet Gray, Adela Canete, Lucas Moreno, Aleksandra Wieczorek, Cormac Owens, Shifra Ash, Isaac Yaniv, Genevieve Laureys, Hans Loibner, Katarzyna Śladowska, Ruth Ladenstein, Paweł Kawalec   +19 more
wiley   +1 more source

Responsible AI for Cybercrime Investigations Using Knowledge-Graph and Semantic Technologies: A Systematic Literature Review

IEEE Access
Cybercrime investigations in the digital space often require the analysis of evidences that are dispersed across various digital devices and computing platforms.
Sadegh Aalizadeh, Bijan Raahemi
doaj   +1 more source

Improving FMEA Comprehensibility via Common-Sense Knowledge Graph Completion Techniques

IEEE Access, 2023
The Failure Mode Effect Analysis process (FMEA) is widely used in industry for risk assessment, as it effectively captures and documents domain-specific knowledge. This process is mainly concerned with causal domain knowledge.
Houssam Razouk, Xing Lan Liu, Roman Kern
doaj   +1 more source

The Relationship Between Physical Activity and Left Ventricular Remodeling in Childhood Cancer Survivors Treated With Anthracyclines: A Cross‐Sectional Study

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Introduction Anthracycline‐related cardiac remodeling precedes heart failure in childhood cancer survivors. The objectives of this study were to determine the relationships between patient‐specific factors, moderate‐to‐vigorous physical activity (MVPA), and cardiac remodeling.
Hari K. Narayan, Sitong Chen, F. Lennie Wong, Nathan Young, Anna Qi, Christopher Davis, Sanjeet Hegde, Nicholas Gloude, Kasey J. Leger, Kelly D. Getz, Francisco Contijoch, Kirsten Ness, Bonnie Ky, Dennis Kuo, Sheri J. Hartman, Saro H. Armenian   +15 more
wiley   +1 more source

Mining Semantic Knowledge Graphs to Add Explainability to Black Box Recommender Systems

IEEE Access, 2019
Recommender systems are being increasingly used to predict the preferences of users on online platforms and recommend relevant options that help them cope with information overload.
Mohammed Alshammari, Olfa Nasraoui, Scott Sanders   +2 more
doaj   +1 more source

Tracking Health Related Quality of Life From Diagnosis to Follow‐Up Among Australian Children With Acute Lymphoblastic Leukaemia

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Acute lymphoblastic leukaemia (ALL) is one of the most treatable forms of paediatric cancer; however, there is a substantial burden of treatment‐related toxicities (TRTs). In addition, the long‐term changes in children's health‐related quality of life (HRQoL) due to toxic treatments are not well understood.
Clare Ghows, Clarissa E. Schilstra, Karen McCleary, Nancy E. Briggs, Rishi S. Kotecha, Richard De Abreu Lourenco, Shanti Ramachandran, Ruelleyn Cockcroft, Rachel Conyers, Siobhan Cross, Luciano Dalla‐Pozza, Peter Downie, Tamas Revesz, Michael Osborn, Frank Alvaro, Claire E. Wakefield, Glenn M. Marshall, Toby Trahair, Marion K. Mateos, Joanna E. Fardell   +19 more
wiley   +1 more source