Results 61 to 70 of about 146,129 (303)
Molecular Oncology, EarlyView.We developed and validated a DNA methylation–based biomarker panel to distinguish pleural mesothelioma from other pleural conditions. Using the IMPRESS technology, we translated this panel into a clinically applicable assay. The resulting two classifier models demonstrated excellent performance, achieving high AUC values and strong diagnostic accuracy.
Janah Vandenhoeck +12 more
wiley +1 more source
Order, please! Explicit sequence learning in hybrid search in younger and older age [PDF]
, 2021 Iris Wiegand +2 more
openalex +1 more source
Explicit Learning: An Effort Towards Human Scheduling Algorithms [PDF]
SSRN Electronic Journal, 2003 Scheduling problems are generally NP-hard combinatorial problems, and a lot of research has been done to solve these problems heuristically. However, most of the previous approaches are problem-specific and research into the development of a general scheduling algorithm is still in its infancy. Mimicking the natural evolutionary process of the survival
Li, Jingpeng, Aickelin, Uwe
openaire +4 more sources
Molecular Oncology, EarlyView.Liquid biopsy enables minimally invasive, real‐time molecular profiling through analysis of circulating biomarkers in biological fluids. This Perspective highlights the importance of training pathologists through integrative educational programs, such as the European Masters in Molecular Pathology, to ensure effective and equitable implementation of ...
Marius Ilié +13 more
wiley +1 more source
Speech Stream Composition Affects Statistical Learning: Behavioral and Neural Evidence
Brain SciencesStatistical learning (SL), the ability to extract patterns from the environment, has been assumed to play a central role in whole cognition, particularly in language acquisition. Evidence has been gathered, however, from behavioral experiments relying on
Ana Paula Soares +5 more
doaj +1 more source
Base-rate sensitivity through implicit learning.
PLoS ONE, 2017 Two experiments assessed the contributions of implicit and explicit learning to base-rate sensitivity. Using a factorial design that included both implicit and explicit learning disruptions, we tested the hypothesis that implicit learning underlies base ...
Andrew J Wismer, Corey J Bohil
doaj +1 more source
Inverse Reinforcement Learning with Explicit Policy Estimates [PDF]
, 2021 Navyata Sanghvi +4 more
openalex +1 more source
Deep Reinforcement Learning With Explicit Context Representation
IEEE Transactions on Neural Networks and Learning SystemsReinforcement learning (RL) has shown an outstanding capability for solving complex computational problems. However, most RL algorithms lack an explicit method that would allow learning from contextual information. Humans use context to identify patterns and relations among elements in the environment, along with how to avoid making wrong actions.
Francisco Munguia-Galeano +2 more
openaire +4 more sources
Next‐generation proteomics improves lung cancer risk prediction
Molecular Oncology, EarlyView.This is one of very few studies that used prediagnostic blood samples from participants of two large population‐based cohorts. We identified, evaluated, and validated an innovative protein marker model that outperformed an established risk prediction model and criteria employed by low‐dose computed tomography in lung cancer screening trials.
Megha Bhardwaj +4 more
wiley +1 more source
مجله پژوهش در علوم توانبخشی, 2014 Introduction: The aim of this study was to assess of both implicit and explicit motor sequence learning in children with attention deficit hyper activity disorder (ADHD) and typical peers , by serial reaction time task.
Navid Mirzakhany- Araghi +4 more
doaj +1 more source