Results 41 to 50 of about 341,780 (320)
Fractional graph-based semi-supervised learning [PDF]
2017 25th European Signal Processing Conference (EUSIPCO), 2017 Publication in the conference proceedings of EUSIPCO, Kos island, Greece ...
de Nigris, Sarah +4 more
openaire +3 more sources
Semi-supervised few-shot learning approach for plant diseases recognition
Plant Methods, 2021 Background Learning from a few samples to automatically recognize the plant leaf diseases is an attractive and promising study to protect the agricultural yield and quality.
Yang Li, Xuewei Chao
doaj +1 more source
Cardiac Imaging with Electrical Impedance Tomography (EIT) using Multilayer Perceptron Network
Jurnal Elektronika dan TelekomunikasiThis research explores the enhancement of Electrical Impedance Tomography (EIT) for cardiac imaging using Multilayer Perceptron (MLP) networks, focusing on supervised and semi-supervised learning approaches.
Amelia Putri Ristyawardani +6 more
doaj +1 more source
AI-Assisted Cotton Grading: Active and Semi-Supervised Learning to Reduce the Image-Labelling Burden
Sensors, 2023 The assessment of food and industrial crops during harvesting is important to determine the quality and downstream processing requirements, which in turn affect their market value. While machine learning models have been developed for this purpose, their
Oliver J. Fisher +4 more
doaj +1 more source
Towards Realistic Semi-supervised Learning
, 2022 Deep learning is pushing the state-of-the-art in many computer vision applications. However, it relies on large annotated data repositories, and capturing the unconstrained nature of the real-world data is yet to be solved. Semi-supervised learning (SSL) complements the annotated training data with a large corpus of unlabeled data to reduce annotation ...
Rizve, Mamshad Nayeem +2 more
openaire +2 more sources
On Ensemble SSL Algorithms for Credit Scoring Problem
Informatics, 2018 Credit scoring is generally recognized as one of the most significant operational research techniques used in banking and finance, aiming to identify whether a credit consumer belongs to either a legitimate or a suspicious customer group.
Ioannis E. Livieris +4 more
doaj +1 more source
Semi-supervised transductive speaker identification [PDF]
, 2009 We present an application of transductive semi-supervised learning to the problem of speaker identification. Formulating this problem as one of transduction is the most natural choice in some scenarios, such as when annotating archived speech data ...
Täckström, Oscar
core +1 more source
Learning From Labeled And Unlabeled Data: An Empirical Study Across Techniques And Domains
, 2011 There has been increased interest in devising learning techniques that combine unlabeled data with labeled data ? i.e. semi-supervised learning. However, to the best of our knowledge, no study has been performed across various techniques and different ...
Chawla, N. V., Karakoulas, Grigoris
core +1 more source
Lautum Regularization for Semi-supervised Transfer Learning [PDF]
, 2020 Transfer learning is a very important tool in deep learning as it allows propagating information from one "source dataset" to another "target dataset", especially in the case of a small number of training examples in the latter.
Giryes, Raja +2 more
core +1 more source
Molecular Oncology, EarlyView.Aldehyde dehydrogenase 1A1 (ALDH1A1) is a cancer stem cell marker in several malignancies. We established a novel epithelial cell line from rectal adenocarcinoma with unique overexpression of this enzyme. Genetic attenuation of ALDH1A1 led to increased invasive capacity and metastatic potential, the inhibition of proliferation activity, and ultimately ...
Martina Poturnajova +25 more
wiley +1 more source