Incremental learning approach for semantic segmentation of skin histology images. [PDF]
Fatima S +4 more
europepmc +1 more source
Geometry and connectivity are complementary structures, which have demonstrated their ability to represent the brain's functional activity. This study evaluates geometric and connectome eigenmodes as biologically informed constraints for EEG source localization.
Pok Him Siu +6 more
wiley +1 more source
Agile human activity recognition for wearable devices based on online incremental learning. [PDF]
Fan L +6 more
europepmc +1 more source
Interactive and incremental learning of spatial object relations from human demonstrations. [PDF]
Kartmann R, Asfour T.
europepmc +1 more source
Computational annotation of various tissue types in heterogeneous samples such as colorectal cancer liver metastasis (CRLM) using spatial autocorrelation analysis on non‐destructive mid‐infrared (MIR) imaging data enabled correlative multimodal mass spectrometry imaging (MSI) for spatial investigation of lipid tumor marker candidates. The method can be
Miriam F. Rittel +12 more
wiley +1 more source
EMDS-7-FSCIL: a benchmark for Few-Shot Class-Incremental Learning in environmental microorganism recognition. [PDF]
Zhou J +5 more
europepmc +1 more source
Few Shot Class Incremental Learning via Efficient Prototype Replay and Calibration. [PDF]
Zhang W, Gu X.
europepmc +1 more source
Machine Learning for Green Solvents: Assessment, Selection and Substitution
Environmental regulations have intensified demand for green solvents, but discovery is limited by Solvent Selection Guides (SSGs) that quantify solvent sustainability. Training a machine learning model on GlaxoSmithKline SSG, a database of sustainability metrics for 10,189 solvents, GreenSolventDB is developed. Integrated with Hansen solubility metrics,
Rohan Datta +4 more
wiley +1 more source
Incremental attribute reduction algorithm for dominance-based neighborhood relative decision entropy
ObjectiveIn the big data environment, data is constantly being dynamically updated, which poses certain limitations and challenges to traditional machine learning algorithms.
CHEN Baoguo +4 more
doaj
IViT: An Incremental Learning Method for Object Detection of Hidden Hazards in Transmission Line Corridors. [PDF]
Li M, Fan K, Luo P, Liu J.
europepmc +1 more source

