Results 251 to 260 of about 6,924,444 (307)
Eternal-MAML: a meta-learning framework for cross-domain defect recognition. [PDF]
Feng J, Zhang H, Wang Z.
europepmc +1 more source
Classification is one of the primary tasks of data mining and aims to assign a class label to unseen examples by using a model learned from a training dataset. Most of the accepted classifiers are designed to minimize the error rate but in practice data mining involves costs such as the cost of getting the data, and cost of making an error.
openaire
MACML: Marrying attention and convolution-based meta-learning method for few-shot IoT intrusion detection. [PDF]
Xu C, Yang J, Li P.
europepmc +1 more source
Abstract Premise Applied ecology can significantly influence policy decisions on environmental issues. Therefore, research in this field should be as transparent and reproducible as possible. Existing expertise from a broad range of disciplines should also be integrated into ecological research to allow researchers to maximize understanding of complex ...
Kailin Weitkämper +5 more
wiley +1 more source
International trade market forecasting and decision-making system: multimodal data fusion under meta-learning. [PDF]
Bai Y, Asif M.
europepmc +1 more source
Purpose To compare the clinical and radiographic outcomes—particularly the long‐term development of osteoarthritis—14 years after anterior cruciate ligament (ACL) reconstruction between anatomic double‐bundle (DB) and anatomic single‐bundle (SB) techniques.
Dlshad Qadir +6 more
wiley +1 more source
Inductive-Associative Meta-learning Pipeline with Human Cognitive Patterns for Unseen Drug-Target Interaction Prediction. [PDF]
Lian X +11 more
europepmc +1 more source
ABSTRACT High‐resolution and accurate synoptic images of terrestrial topography, even in densely forested areas, have proven valuable for archaeology by enabling the identification and characterization of relief patterns associated with ancient human activities. This study presents a novel approach that integrates digital terrain models (DTMs) obtained
Jhon A. Zabaleta‐Santisteban +13 more
wiley +1 more source
Few-shot crop disease recognition using sequence- weighted ensemble model-agnostic meta-learning. [PDF]
Li J, Feng Q, Yang J, Zhang J, Yang S.
europepmc +1 more source
Interlukin‐5 (IL‐5) plays a crucial role in the pathogenesis of eosinophilic granulomatosis with polyangiitis (EGPA) by promoting eosinophil differentiation, activation, and survival. We present here a typical case of EGPA in which treatment with IL‐5 pathway inhibitors is prescribed, showing to be beneficial for the patient.
Alvise Berti, Christian Pagnoux
wiley +1 more source

