Results 51 to 60 of about 4,317,504 (301)

Multi-label code-smell dataset

, 2023
The multi-label code-smell dataset for studies related to multi-label ...
Binh Nguyen Thanh (13965222)
core   +1 more source

HamNava: A Dataset for Multi‑Label Instrument Classification

Transactions of the International Society for Music Information Retrieval
Despite significant advancements in music information retrieval, much of the progress has focused on musical traditions rooted in Western cultures. One of the hindrances preventing researchers from delving further into other musical traditions is the ...
Pouya Mohseni, Bagher BabaAli, Hooman Asadi   +2 more
doaj   +1 more source

Comments on “MLCM: Multi-Label Confusion Matrix”

IEEE Access, 2023
In the paper “MLCM: Multi-Label Confusion Matrix” a method for computing the confusion matrix for the multi-label classification problem is proposed. Although the authors state that there is no similar work on computing confusion matrix for
Damir Krstinic, Ljiljana Seric, Ivan Slapnicar   +2 more
doaj   +1 more source

Adversarial Extreme Multi-label Classification

CoRR, 2018
The goal in extreme multi-label classification is to learn a classifier which can assign a small subset of relevant labels to an instance from an extremely large set of target labels. Datasets in extreme classification exhibit a long tail of labels which have small number of positive training instances.
Rohit Babbar, Bernhard Schölkopf
openaire   +3 more sources

Therapeutic Apheresis in Nigeria: A Multi‐Center Summary of Abstracts From the Inaugural Nigerian Society for Apheresis Scientific Meeting

Therapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Background Therapeutic apheresis (TA) is an established treatment modality for hematologic, neurologic, and immunologic disorders, yet access remains severely limited in sub‐Saharan Africa. Donor apheresis, including platelet apheresis collection from healthy donors, represents an important complementary modality supporting blood product ...
Nosa Bazuaye, Chimezie Okwuonu, Evelyn Idam, Folasade Adelekan‐Popoola, Shakirat Gold‐Olufadi, Olufunto Olufela Kalejaiye, Abdullateef Ogala, Zinnah Aloziem, Blossom Amamchukwu, Patience Elimia, Mkpoikanabasi Obot‐Obot, Henry Mbakwe, Praises Maduagwuna, Olatunji Akinrodoye, Chiamaka Anyanwu, Benjamin Anyanwu, Adedamola Akinsiku, Oluwatoyin A. Akinsiku, Muzamil O. Hassan, Fatiu A. Arogundade, Olalekan E. Ojo, Homayemem Weli, Jesupelumi Adenihun, Aderemi Adelaja, Ebun Bamgboye, Olalekan Olatise, Ade E. Faponle, Ayoola Odeyemi, Michael Muoka, Stephen Asaolu, Qudrat Busari, Blessing Dawudu, Michael Naiyeju, Rasheed A. Balogun   +33 more
wiley   +1 more source

A new genetic algorithm for multi-label correlation-based feature selection. [PDF]

, 2015
This paper proposes a new Genetic Algorithm for Multi-Label Correlation-Based Feature Selection (GA-ML-CFS). This GA performs a global search in the space of candidate feature subset, in order to select a high-quality feature subset is used by a multi ...
Jungjit, Suwimol, Freitas, Alex A.
core   +1 more source

Extreme Learning Machine for Multi-Label Classification

Entropy, 2016
Extreme learning machine (ELM) techniques have received considerable attention in the computational intelligence and machine learning communities because of the significantly low computational time required for training new classifiers.
Xia Sun, Jingting Xu, Changmeng Jiang, Jun Feng, Su-Shing Chen, Feijuan He   +5 more
doaj   +1 more source

Multi-Label Remote Sensing Image Land Cover Classification Based on a Multi-Dimensional Attention Mechanism

Remote Sensing, 2023
For the multi-label classification task of remote sensing images (RSIs), it is difficult to accurately extract feature information from complex land covers, and it is easy to generate redundant features by ordinary convolution extraction features.
Haihui You, Juntao Gu, Weipeng Jing
doaj   +1 more source

Microbiome−host proteostasis crosstalk—An emerging perspective on mechanisms and interventions toward healthy longevity

FEBS Letters, EarlyView.
Proteostasis and the gut microbiota play a key role in shaping host physiology. Microbiota‐derived metabolites, vitamins, and RNA modulate host proteostasis. Findings from model systems, including C. elegans, indicate microbes can either stabilize or disrupt host proteostasis.
Abhishek Anil Dubey, Maria Ermolaeva
wiley   +1 more source

A review of associative classification mining [PDF]

, 2007
Associative classification mining is a promising approach in data mining that utilizes the association rule discovery techniques to construct classification systems, also known as associative classifiers.
Fadi Abdeljaber Thabtah, Thabtah, Fadi
core   +1 more source