Results 41 to 50 of about 244,685 (311)

Self-Explaining Neural Networks for Respiratory Sound Classification with Scale-free Interpretability

, 2023
Analysis of respiratory sounds is an area where deep neural networks (DNNs) may benefit clinicians and patients for diagnostic purposes due to their classification power. However, explaining the predictions made by DNNs remains a challenge.
Ren, Z, Nguyen, TT, Zahed, MM, Nejdl, W
core   +1 more source

Social Functioning Within the First Years After Pediatric Brain Tumor Diagnosis and the Relationship With Family Psychosocial Risk

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Survivors of pediatric brain tumors (PBTs) can experience long‐term social difficulties, impacting quality of life. Beyond medical and environmental factors, family psychosocial risk may play a role in social outcomes by shaping the caregiving environment and may provide intervention options.
Renske H. Houben, Marisa H. Huisman, Martha A. Grootenhuis, Femke K. Aarsen, Marita Partanen   +4 more
wiley   +1 more source

Investigating the Performance of the Attention Mechanism and the Interpretability in the Concrete Strength Prediction Model

Buildings
To address the limitations of traditional models in capturing complex features for concrete strength prediction, this study proposes a hybrid deep learning approach that integrates multiple attention mechanisms with gated recurrent units (GRU).
Ziang Jia, Noor Azline Mohd Nasir, Nabilah Abu Bakar   +2 more
doaj   +1 more source

Explainable Machine Learning for Scientific Insights and Discoveries

IEEE Access, 2020
Machine learning methods have been remarkably successful for a wide range of application areas in the extraction of essential information from data. An exciting and relatively recent development is the uptake of machine learning in the natural sciences ...
Ribana Roscher, Bastian Bohn, Marco F. Duarte, Jochen Garcke   +3 more
doaj   +1 more source

Retrospective Analysis of Donor Lymphocyte Infusions in Pediatric Patients With Mixed Chimerism After Hematopoietic Stem Cell Transplantation

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Allogeneic hematopoietic stem cell transplantation (alloHSCT) is an essential therapy for several malignant and nonmalignant diseases, but relapse and graft loss remain the principal threats to its success. Routine monitoring of chimerism and minimal residual disease (MRD) enables early detection of imminent recurrence and guides ...
Carmen Junk, Sebastian Michaelis, Michaela Döring, Thomas Eichholz, Ursula Holzer, Martin Ebinger, Tim Flaadt, Rupert Handgretinger, Peter Lang, Jan Frederic Weller, Markus Mezger   +10 more
wiley   +1 more source

Geometric Reasoning in the Embedding Space

Machine Learning and Knowledge Extraction
While neural networks can solve complex geometric problems, as demonstrated by systems like AlphaGeometry, we have limited understanding of how they internally represent and reason about spatial relationships.
David Mojžíšek, Jan Hůla, Jiří Janeček, David Herel, Mikoláš Janota   +4 more
doaj   +1 more source

The Impact of the COVID‐19 Pandemic on Childhood Cancer Survival: A Population‐Based Assessment of Survival Patterns Between 2015 and 2023 in Germany

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Numerous international studies have reported declines in new cancer diagnoses, delayed diagnoses and disruptions in cancer treatment following the implementation of COVID‐19 pandemic public health measures, raising concerns that these effects may ultimately contribute to increased cancer mortality.
Friederike Erdmann, Maike Wellbrock, Javier Louro, Arndt Borkhardt, Martin Schrappe, Claudia Trübenbach, Desiree Grabow, Cécile M. Ronckers, Joachim Schüz   +8 more
wiley   +1 more source

A Review of Explainable Artificial Intelligence from the Perspectives of Challenges and Opportunities

Algorithms
The widespread adoption of Artificial Intelligence (AI) in critical domains, such as healthcare, finance, law, and autonomous systems, has brought unprecedented societal benefits.
Sami Kabir, Mohammad Shahadat Hossain, Karl Andersson   +2 more
doaj   +1 more source

Effectiveness of Resistance Intradialytic Exercise Compared to Aerobic Intradialytic Exercise for Patients With Chronic Kidney Disease: A Randomized Controlled Clinical Trial

Therapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Background Patients with chronic kidney disease undergoing hemodialysis commonly experience reduced physical function, fatigue, poor sleep quality, and impaired health‐related quality of life. Intradialytic exercise has been proposed as a non‐pharmacological strategy to improve these outcomes.
Klebson da Silva Almeida, Gisela Cristiane Miyamoto, Daniel da Costa Torres, Ian Setubal Reis Chaves, Jonas do Carmo Paschoalin, Braúlio Lima Nascimento, Luciana Dias Chiavegato   +6 more
wiley   +1 more source

Fuzzy-DogNet: A Lightweight and Interpretable Deep Unstructured Neuro-Fuzzy System Based on Band-Pass Filters for Traffic Sign Recognition

IEEE Access
Traffic Sign Recognition (TSR) plays a critical role in autonomous driving and advanced driver-assistance systems, necessitating accurate and efficient recognition under real-world constraints.
Sadra Berangi, Mohammad Mahdi Parchamijalal, Armin Salimi-Badr   +2 more
doaj   +1 more source