Results 161 to 170 of about 5,397,718 (323)
EXPLOITING UNLABELED DATA IN CONCEPT DRIFT LEARNING
Learning unlabeled data in a drifting environment still receives little attention. This paper presents a concept tracker algorithm for learning concept drift that exploits unlabeled data.
Dwi Hendratmo Widyantoro
doaj
Roadmap of Concept Drift Adaptation in Data Stream Mining, Years Later
As machine learning models are increasingly applied to real-world scenarios, it is essential to consider the possibility of changes in the data distribution over time.
Osama A. Mahdi +5 more
doaj +1 more source
Driftage: a multi-agent system framework for concept drift detection. [PDF]
Vieira DM +3 more
europepmc +1 more source
Pharmacologic ascorbate (vitamin C) increases ROS, disrupts cellular metabolism, and induces DNA damage in CRPC cells. These effects sensitize tumors to PARP inhibition, producing synergistic growth suppression with olaparib in vitro and significantly delayed tumor progression in vivo. Pyruvate rescue confirms ROS‐dependent activity.
Nicolas Gordon +13 more
wiley +1 more source
LDAcoop: Integrating non‐linear population dynamics into the analysis of clonogenic growth in vitro
Limiting dilution assays (LDAs) quantify clonogenic growth by seeding serial dilutions of cells and scoring wells for colony formation. The fraction of negative wells is plotted against cells seeded and analyzed using the non‐linear modeling of LDAcoop.
Nikko Brix +13 more
wiley +1 more source
Cost-Sensitive Classification for Evolving Data Streams with Concept Drift and Class Imbalance. [PDF]
Sun Y, Li M, Li L, Shao H, Sun Y.
europepmc +1 more source
Plecstatin inhibits hepatocellular carcinoma tumorigenesis and invasion through cytolinker plectin
The ruthenium‐based metallodrug plecstatin exerts its anticancer effect in hepatocellular carcinoma (HCC) primarily through selective targeting of plectin. By disrupting plectin‐mediated cytoskeletal organization, plecstatin inhibits anchorage‐dependent growth, cell polarization, and tumor cell dissemination.
Zuzana Outla +10 more
wiley +1 more source
Measuring the Effectiveness of Adaptive Random Forest for Handling Concept Drift in Big Data Streams. [PDF]
AlQabbany AO, Azmi AM.
europepmc +1 more source
Nanosecond infrared laser (NIRL) low‐volume sampling combined with shotgun lipidomics uncovers distinct lipidome alterations in oropharyngeal squamous cell carcinoma (OPSCC) of the palatine tonsil. Several lipid species consistently differentiate tumor from healthy tissue, highlighting their potential as diagnostic markers.
Leonard Kerkhoff +11 more
wiley +1 more source
Non Stationary Multi-Armed Bandit: Empirical Evaluation of a New Concept Drift-Aware Algorithm. [PDF]
Cavenaghi E +3 more
europepmc +1 more source

