Results 41 to 50 of about 3,494,638 (328)
Unsupervised Cross-lingual Representation Learning at Scale [PDF]
Annual Meeting of the Association for Computational Linguistics, 2019 This paper shows that pretraining multilingual language models at scale leads to significant performance gains for a wide range of cross-lingual transfer tasks.
Alexis Conneau +9 more
semanticscholar +1 more source
Analyze Informant-Based Questionnaire for The Early Diagnosis of Senile Dementia Using Deep Learning
IEEE Journal of Translational Engineering in Health and Medicine, 2020 Objective: This paper proposes a multiclass deep learning method for the classification of dementia using an informant-based questionnaire. Methods: A deep neural network classification model based on Keras framework is proposed in this paper.
Fubao Zhu +8 more
doaj +1 more source
Interactive volumetric segmentation for textile micro-tomography data using wavelets and nonlocal means [PDF]
, 2019 This work addresses segmentation of volumetric images of woven carbon fiber textiles from micro-tomography data. We propose a semi-supervised algorithm to classify carbon fibers that requires sparse input as opposed to completely labeled images. The main
Barnard, HS +5 more
core +1 more source
Italian Event Detection Goes Deep Learning [PDF]
, 2018 This paper reports on a set of experiments with different word embeddings to initialize a state-of-the-art Bi-LSTM-CRF network for event detection and classification in Italian, following the EVENTI evaluation exercise.
Caselli, Tommaso
core +4 more sources
Thresholding Classifiers to Maximize F1 Score
, 2014 This paper provides new insight into maximizing F1 scores in the context of binary classification and also in the context of multilabel classification. The harmonic mean of precision and recall, F1 score is widely used to measure the success of a binary classifier when one class is rare.
Lipton, Zachary Chase +2 more
openaire +2 more sources
Machine learning approaches for anomaly detection of water quality on a real-world data set
Journal of Information and Telecommunication, 2019 Accurate detection of water quality changes is a crucial task of water companies. Water supply companies must provide safe drinking water. Nowadays in different areas, we find sensible sensors which monitor data during the time.
Fitore Muharemi +2 more
doaj +1 more source
JMIR Medical Informatics, 2020 BackgroundEmerging interest in precision health and the increasing availability of patient- and population-level data sets present considerable potential to enable analytical approaches to identify and mitigate the negative effects of social factors on ...
Kasthurirathne, Suranga N +5 more
doaj +1 more source
VirSorter2: a multi-classifier, expert-guided approach to detect diverse DNA and RNA viruses
Microbiome, 2021 Viruses are a significant player in many biosphere and human ecosystems, but most signals remain “hidden” in metagenomic/metatranscriptomic sequence datasets due to the lack of universal gene markers, database representatives, and insufficiently advanced
Jiarong Guo +10 more
semanticscholar +1 more source
Arabic Spelling Correction using Supervised Learning [PDF]
, 2014 In this work, we address the problem of spelling correction in the Arabic language utilizing the new corpus provided by QALB (Qatar Arabic Language Bank) project which is an annotated corpus of sentences with errors and their corrections.
Aly, Mohamed +2 more
core +2 more sources
Named Entity Recognition with Bidirectional LSTM-CNNs [PDF]
Transactions of the Association for Computational Linguistics, 2015 Named entity recognition is a challenging task that has traditionally required large amounts of knowledge in the form of feature engineering and lexicons to achieve high performance.
Jason P. C. Chiu, Eric Nichols
semanticscholar +1 more source