Results 31 to 40 of about 3,494,638 (328)
Enhancing Missing Data Imputation for Migrants Data: A Neutrosophic Set-Based Machine Learning Approach [PDF]
Neutrosophic Sets and SystemsThis study tackles the problem of missing data in migrant datasets by introducing a new framework that combines machine learning techniques with neutrosophic sets.
Doaa A. Abdo +3 more
doaj +1 more source
Mixing and blending syntactic and semantic dependencies [PDF]
, 2008 Our system for the CoNLL 2008 shared task uses a set of individual parsers, a set of stand-alone semantic role labellers, and a joint system for parsing and semantic role labelling, all blended together. The system achieved a macro averaged labelled
Eklund, Johan +5 more
core +3 more sources
Predicting the Law Area and Decisions of French Supreme Court Cases [PDF]
, 2017 In this paper, we investigate the application of text classification methods to predict the law area and the decision of cases judged by the French Supreme Court.
Sulea, Octavia-Maria +3 more
core +2 more sources
Hybrid ensemble model for lactation milk yield prediction of holstein cows [PDF]
Kafkas Universitesi Veteriner Fakültesi DergisiMachine learning (ML) algorithms are widely employed across various domains to identify patterns and relationships in large datasets, and to perform tasks such as prediction and classification.
Derviş TOPUZ, Selçuk TEKGÖZ
doaj +1 more source
Remote Sensing, 2021 Infrared small-object segmentation (ISOS) has a persistent trade-off problem—that is, which came first, recall or precision? Constructing a fine balance between of them is, au fond, of vital importance to obtain the best performance in real applications,
Ikhwan Song, Sungho Kim
doaj +1 more source
Automatic Feature Segmentation in Dental Periapical Radiographs
Diagnostics, 2022 While a large number of archived digital images make it easy for radiology to provide data for Artificial Intelligence (AI) evaluation; AI algorithms are more and more applied in detecting diseases.
Tugba Ari +10 more
doaj +1 more source
Coreference Resolution through a seq2seq Transition-Based System
Transactions of the Association for Computational Linguistics, 2023 Most recent coreference resolution systems use search algorithms over possible spans to identify mentions and resolve coreference. We instead present a coreference resolution system that uses a text-to-text (seq2seq) paradigm to predict mentions and ...
Bernd Bohnet +2 more
doaj +1 more source
Confidence Intervals for the F1 Score: A Comparison of Four Methods
, 2023 31 pages, 3 ...
Lam, Kevin Fu Yuan +2 more
openaire +2 more sources
SQuAD: 100,000+ Questions for Machine Comprehension of Text [PDF]
Conference on Empirical Methods in Natural Language Processing, 2016 We present the Stanford Question Answering Dataset (SQuAD), a new reading comprehension dataset consisting of 100,000+ questions posed by crowdworkers on a set of Wikipedia articles, where the answer to each question is a segment of text from the ...
Pranav Rajpurkar +3 more
semanticscholar +1 more source
Identification of sleep apnea events using discrete wavelet transform of respiration, ECG and accelerometer signals [PDF]
, 2013 Sleep apnea is a common sleep disorder in which patient sleep patterns are disrupted due to recurrent pauses in breathing or by instances of abnormally low breathing. Current gold standard tests for the detection of apnea events are costly and have the
Dermot Diamond +7 more
core +1 more source