Results 81 to 90 of about 728,259 (295)

A drop-out mechanism for active learning based on one-attribute heuristics

Frontiers in Artificial Intelligence
Active Learning (AL) leverages the principle that machine learning models can achieve high accuracy with fewer labeled samples by strategically selecting the most informative data points for training.
Sriram Ravichandran, Nandan Sudarsanam, Nandan Sudarsanam, Balaraman Ravindran, Balaraman Ravindran, Konstantinos V. Katsikopoulos   +5 more
doaj   +1 more source

Machine perfusion in clinical trials: the preservation solution bias [PDF]

, 2011
Nicolas Chatauret, Raphaël Thuillier, Benoı̂t Barrou, Thierry Hauet, Michel Eugène   +4 more
openalex   +1 more source

RaMBat: Accurate identification of medulloblastoma subtypes from diverse data sources with severe batch effects

Molecular Oncology, EarlyView.
To integrate multiple transcriptomics data with severe batch effects for identifying MB subtypes, we developed a novel and accurate computational method named RaMBat, which leveraged subtype‐specific gene expression ranking information instead of absolute gene expression levels to address batch effects of diverse data sources.
Mengtao Sun, Jieqiong Wang, Shibiao Wan
wiley   +1 more source

WILLINGNESS TO PAY FOR NON-GENETICALLY MODIFIED FOOD: EVIDENCE OF HYPOTHETICAL BIAS FROM AN AUCTION EXPERIMENT IN JAPAN [PDF]

, 2004
Naoya Kaneko, Wen S. Chern, Kaneko, Naoya, Chern, Wen S.   +3 more
openalex   +1 more source

Genetic attenuation of ALDH1A1 increases metastatic potential and aggressiveness in colorectal cancer

Molecular Oncology, EarlyView.
Aldehyde dehydrogenase 1A1 (ALDH1A1) is a cancer stem cell marker in several malignancies. We established a novel epithelial cell line from rectal adenocarcinoma with unique overexpression of this enzyme. Genetic attenuation of ALDH1A1 led to increased invasive capacity and metastatic potential, the inhibition of proliferation activity, and ultimately ...
Martina Poturnajova, Zuzana Kozovska, Ondrej Pos, Kristina Pavlov, Sachin Gulati, Peter Makovicky, Kristina Jakic, Monika Burikova, Eva Sedlackova, Barbora Svitkova, Silvia Tyciakova, Vojtech Bystry, Nicolas Blavet, Boris Tichy, Matej Hrnciar, Jaroslav Budis, Miroslav Tomas, Peter Dubovan, Georgina Kolnikova, Veronika Repaska, Nikoleta Mojzesova, Eva Zomborska, Daniel Pindak, Michal Mego, Tomas Szemes, Miroslava Matuskova   +25 more
wiley   +1 more source

When Irrational Biases Are Smart: A Fuzzy-Trace Theory of Complex Decision Making

Journal of Intelligence, 2018
I take a decision-making approach to consider ways of addressing the “unresolved and dramatic problems in the world”. Traditional approaches to good decision-making are reviewed.
Valerie Reyna
doaj   +1 more source

There is no shortcut to de‐biasing biases

Medical Education, 2019
Rotgans and Schmidt put forth an argument that knowledge gain is the only true antidote for problematic clinical biases. In doing so, they suggest that a case‐based curriculum is possibly the best way to create bias‐resistant heuristics.
Jerome I Rotgans, Henk G Schmidt
openaire   +3 more sources

Counterfactually Augmented Data and Unintended Bias: The Case of Sexism and Hate Speech Detection [PDF]

, 2022
Indira Sen, Mattia Samory, Claudia Wagner, Isabelle Augenstein   +3 more
openalex   +1 more source

Targeted modulation of IGFL2‐AS1 reveals its translational potential in cervical adenocarcinoma

Molecular Oncology, EarlyView.
Cervical adenocarcinoma patients face worse outcomes than squamous cell carcinoma counterparts despite similar treatment. The identification of IGFL2‐AS1's differential expression provides a molecular basis for distinguishing these histotypes, paving the way for personalized therapies and improved survival in vulnerable populations globally.
Ricardo Cesar Cintra, Lucca Paolo Hsu Helmich, Daniel Rodrigues de Bastos, Laura Sichero, Patrícia Savio de Araujo‐Souza, Fabio Passetti, Luisa Lina Villa   +6 more
wiley   +1 more source

Network divergence analysis identifies adaptive gene modules and two orthogonal vulnerability axes in pancreatic cancer

Molecular Oncology, EarlyView.
Tumors contain diverse cellular states whose behavior is shaped by context‐dependent gene coordination. By comparing gene–gene relationships across biological contexts, we identify adaptive transcriptional modules that reorganize into distinct vulnerability axes.
Brian Nelson, Lyanne Delgado‐Coka, Natalia Marchenko, Luisa F. Escobar‐Hoyos, Kenneth R. Shroyer, Alisa Yurovsky, Trey Ideker, Gabor Balázsi, Thomas MacCarthy, Scott Powers   +9 more
wiley   +1 more source