Results 151 to 160 of about 1,612,054 (235)

Deep learning of cuneiform sign detection with weak supervision using transliteration alignment. [PDF]

PLoS One, 2020
Dencker T, Klinkisch P, Maul SM, Ommer B.   +3 more
europepmc   +1 more source

Leveraging Symbolic Artificial Intelligence and Fuzzy Logic for Materials Science: A Review of Methods, Challenges, and Applications to Scarce and Imperfect Experimental Data

Advanced Engineering Materials, EarlyView.
This article explores the transformative potential of symbolic artificial intelligence (AI) in the field of materials science, particularly in leveraging experimental data. The article presents several symbolic AI models and discusses their applications in materials science.
Ahmed Amrani, Mohamed‐Ali Belloum, Laurence Boudet, Valentin Fouillard, Edwin Friedmann, Guillaume Lacharme, Ali Mahmoud, Jean‐Philippe Poli   +7 more
wiley   +1 more source

Weak supervision as an efficient approach for automated seizure detection in electroencephalography. [PDF]

NPJ Digit Med, 2020
Saab K, Dunnmon J, Ré C, Rubin D, Lee-Messer C.   +4 more
europepmc   +1 more source

A Novel Approach to Estimate the Transition Temperature via Dynamic Nanoindentation

Advanced Engineering Materials, EarlyView.
A new dynamic nanoindentation‐based method was developed that uses the stiffness ratio as an indicator of the elastic–plastic deformation contributions at different temperatures. The approach successfully identified transition temperatures in ferritic steel and distinguished them from continuously ductile austenitic steel.
Stefan Zeiler, Nikolaus Kostwein, Ronald Schnitzer, Christian Mitterer, Verena Maier‐Kiener   +4 more
wiley   +1 more source

Benchmarking multiple instance learning architectures from patches to pathology for prostate cancer detection and grading using attention-based weak supervision. [PDF]

Sci Rep
Butt NA, Sarwat D, Noya ID, Tutusaus K, Samee NA, Ashraf I.   +5 more
europepmc   +1 more source

A Multi‐Scale Machine Learning Framework for the Inverse Design of High Entropy Alloys

Advanced Engineering Materials, EarlyView.
High‐entropy alloys offer vast potential for various applications, including electrocatalysis; however, their compositional complexity challenges conventional screening. We introduce an inverse‐design framework combining two neural networks to determine optimal compositions and reconstruct nanoparticle geometry from targeted properties and conventional
Mikael Takoutsin, Marta Campolucci, Nicolas de Andrade Ishiki, Nathan Mirgot, Nadir Zhamantay, Frédéric Kanoufi, Jennifer Peron, Jean Charlety, Emiliano Fonda, Valérie Briois, Marco Faustini, Maria‐Letizia De Marco, Christine Goyhenex, Ovidiu Ersen, Hervé Bulou   +14 more
wiley   +1 more source

Data-efficient protein mutational effect prediction with weak supervision by molecular simulation and protein language models. [PDF]

Brief Bioinform
Deguchi T, Ab Ghani NS, Kurumida Y, Iida S, Kobayashi K, Saito Y.   +5 more
europepmc   +1 more source

Snorkel: rapid training data creation with weak supervision. [PDF]

VLDB J, 2020
Ratner A, Bach SH, Ehrenberg H, Fries J, Wu S, Ré C.   +5 more
europepmc   +1 more source

Detecting Anomalous Cell Behavior in Electrochemical Battery Testing Using Machine Learning

Advanced Engineering Materials, EarlyView.
Machine‐learning‐based screening enables automated identification of anomalous battery cells from complementary electrochemical tests. A curated battery database supports configuration‐aware comparison of rate‐capability and impedance data. Supervised classification of rate‐test data achieves 90% accuracy, while CNN‐VAE‐based impedance analysis reaches
Minu Rose, Sanxchep Sharma, Veit Königer, Vincent Nebel, Jonas Oehm, Christian Weisenberger, Laura Bies, Volker Knoblauch   +7 more
wiley   +1 more source

Supervision

, 2015
Even within the context of this book, the term ‘group supervision’ could suggest any one of a range of potential meanings. It could conceivably mean the practice-related meetings of a handful of human service workers who, having a common professional ...
Andrew Frost (9797366)
core