Results 91 to 100 of about 23,977,071 (291)
An artificial immune system for fuzzy-rule induction in data mining [PDF]
, 2004 This work proposes a classification-rule discovery algorithm integrating artificial immune systems and fuzzy systems. The algorithm consists of two parts: a sequential covering procedure and a rule evolution procedure.
Heitor S. Lopes +7 more
core +1 more source
Peripheral lysosomes recruit PLEKHG3 to focal adhesions and restrain protrusion dynamics
FEBS Letters, EarlyView.Proximity‐dependent labeling at the LAMTOR complex revealed the Rho GEF PLEKHG3 as a lysosome‐proximal protein directing the study toward the influence of lysosome positioning on actin dynamics and cell motility. We show that PLEKHG3 colocalizes with lysosomes at focal adhesion sites and observe that forced peripheral dispersion of lysosomes hinders ...
Rainer Ettelt +8 more
wiley +1 more source
A rule based approach to classification of EEG datasets: a comparison between ANFIS and rough sets [PDF]
, 2008 This paper compares two different rule based classification methods in order to evaluate their relative efficiacy with respect to classification accuracy and the caliber of the resulting rules.
Jahankhani, P. +2 more
core +1 more source
Rule-based Classification of Visual Field Defects
Proceedings of the International Conference on Health Informatics, 2014 The automated recognition of the visual field defect type from results of visual field testing is crucial for the adequate diagnosis and treatment of the underlying disease of the visual system. This paper presents a reliable rule-based classifier that emulates the decision strategies of expert ophthalmologists based on a two-level approach that ...
Enkelejda Kasneci +3 more
openaire +1 more source
Engineering peptides into antibodies—opportunities and strategies for therapeutic innovation
FEBS Letters, EarlyView.Peptides and antibodies occupy complementary therapeutic niches. Peptides recognize difficult targets in a compact format, while antibodies add specificity, long half‐life, and effector functions. This review examines strategies that merge both modalities—peptide grafting into loops, terminal and Fc fusions, and bioconjugation—highlighting how ...
Jinling Wang +2 more
wiley +1 more source
Software defect prediction based on association rule classification. [PDF]
In software defect prediction, predictive models are estimated based on various code attributes to assess the likelihood of software modules containing errors. Many classification methods have been suggested to accomplish this task.
Vanthienen, Jan +3 more
core
Robust rule-based prediction [PDF]
, 2006 This paper studies a problem of robust rule-based classification, i.e. making predictions in the presence of missing values in data. This study differs from other missing value handling research in that it does not handle missing values but builds a rule
Li, Jiuyong, Li, J.
core +1 more source
Epigenetic reprogramming of lineage switching in cancer
FEBS Letters, EarlyView.Cancer cells rarely commit to a single identity. Epigenetic mechanisms and tumor microenvironment cues push epithelial cells toward flexible, hybrid states that can shift into mesenchymal, neuroendocrine, or stem‐like fates, driving metastasis, drug resistance, and tumor heterogeneity. Targeting the epigenetic regulators behind these transitions, using
Ezgi Boyvatlı +4 more
wiley +1 more source
Measuring interpretability in rule-based classification systems [PDF]
The 12th IEEE International Conference on Fuzzy Systems, 2003. FUZZ '03., 2004 The "unique selling point" of fuzzy systems is usually the interpretability of its rule base. However, very often only the accuracy of the rule base is measured and used to compare a fuzzy system to other solutions. We have suggested an index to measure the interpretability of fuzzy rule bases for classification problems. However, the index can be used
openaire +1 more source
J-PMCRI: a methodology for inducing pre-pruned modular classification rules [PDF]
, 2010 Inducing rules from very large datasets is one of the most challenging areas in data mining. Several approaches exist to scaling up classification rule induction to large datasets, namely data reduction and the parallelisation of classification rule ...
Frederic Stahl +8 more
core +1 more source