Results 261 to 270 of about 283,141 (292)

Machine-learning classifiers for imbalanced tornado data

Computational Management Science, 2013
Learning from imbalanced data, where the number of observations in one class is significantly larger than the ones in the other class, has gained considerable attention in the machine learning community. Assuming the difficulty in predicting each class is similar, most standard classifiers will tend to predict the majority class well.
Theodore B. Trafalis, Indra Adrianto, Michael B. Richman, S. Lakshmivarahan   +3 more
openaire   +1 more source

A Meta-Cognitive Learning Algorithm for an Extreme Learning Machine Classifier

Cognitive Computation, 2013
This paper presents an efficient fast learning classifier based on the Nelson and Narens model of human meta-cognition, namely ‘Meta-cognitive Extreme Learning Machine (McELM).’ McELM has two components: a cognitive component and a meta-cognitive component.
Suresh, Sundaram, Savitha, R., Kim, H. J.   +2 more
openaire   +3 more sources

Classifying protein kinase conformations with machine learning

Protein Science
AbstractProtein kinases are key actors of signaling networks and important drug targets. They cycle between active and inactive conformations, distinguished by a few elements within the catalytic domain. One is the activation loop, whose conserved DFG motif can occupy DFG‐in, DFG‐out, and some rarer conformations.
Ivan Reveguk, Thomas Simonson
openaire   +2 more sources

Classifying Legal Norms with Active Machine Learning

2017
This paper describes an extended machine learning approach to classify legal norms in German statutory texts. We implemented an active machine learning (AML) framework based on open-source software. Within the paper we discuss different query strategies to optimize the selection of instances during the learning phase to decrease the required training ...
Bernhard Waltl, Johannes Muhr, Ingo Glaser, Georg Bonczek, Elena Scepankova, Florian Matthes   +5 more
openaire   +1 more source

A Machine Learning approach to classify ventilatory efficiency

2023 IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE), 2023
Prisco, Giuseppe, Komici, Klara, Mercaldo, Francesco, Donisi, Leandro, Cesarelli, Mario, Guerra, Germano, Santone, Antonella   +6 more
openaire   +2 more sources

Quantum Machine Learning Classifier

2022
Avery Leider, Gio Abou Jaoude, Abigail E. Strobel, Pauline Mosley   +3 more
openaire   +1 more source

Optimized Machine Learning for Classifying Colorectal Tissues

SN Computer Science, 2023
Ashish Tripathi, Anuradha Misra, Kuldeep Kumar, Brijesh Kumar Chaurasia   +3 more
openaire   +1 more source

Performance Evaluation Indicator (PEI): A new paradigm to evaluate the competence of machine learning classifiers in predicting rockmass conditions

Advanced Engineering Informatics, 2021
MengQi Zhu, Marte Gutierrez, Hehua Zhu   +2 more
exaly  

Machine Learning Classifiers

2020
Rachna Behl, Indu Kashyap
openaire   +1 more source

Machine Learning for Classifying Images with Motion Blur

2022 21st IEEE International Conference on Machine Learning and Applications (ICMLA), 2022
Rogelio E. Garcia, Jacqueline Alvarez, Roummel F. Marcia   +2 more
openaire   +1 more source