Results 1 to 10 of about 171 (72)

A Maximal Correlation Framework for Fair Machine Learning [PDF]

Entropy, 2022
As machine learning algorithms grow in popularity and diversify to many industries, ethical and legal concerns regarding their fairness have become increasingly relevant.
Joshua Lee, Yuheng Bu, Prasanna Sattigeri, Rameswar Panda, Gregory W. Wornell, Leonid Karlinsky, Rogerio Schmidt Feris   +6 more
doaj   +4 more sources

Maximal Correlation Regression

IEEE Access, 2020
In this paper, we propose a novel regression analysis approach, called maximal correlation regression, by exploiting the ideas from the Hirschfeld-Gebelein-Rényi (HGR) maximal correlation. We show that in supervised learning problems, the optimal
Xiangxiang Xu, Shao-Lun Huang
doaj   +3 more sources

HGR Correlation Pooling Fusion Framework for Recognition and Classification in Multimodal Remote Sensing Data

Remote Sensing
This paper investigates remote sensing data recognition and classification with multimodal data fusion. Aiming at the problems of low recognition and classification accuracy and the difficulty in integrating multimodal features in existing methods, a ...
Hongkang Zhang, Shao-Lun Huang, Ercan Engin Kuruoglu   +2 more
doaj   +3 more sources

MHFNet: An Improved HGR Multimodal Network for Informative Correlation Fusion in Remote Sensing Image Classification

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
In the realm of urban development, the precise classification and identification of land types are crucial for improving land use efficiency. This article proposes a land recognition and classification method based on data sparsity and improved Soft ...
Hongkang Zhang, Shao-Lun Huang, Ercan Engin Kuruoglu   +2 more
doaj   +3 more sources

Reliability and differences between the classic and the impulse model of isometric testing in function of maximal and explosive strength: Pilot research [PDF]

Fizička Kultura, 2022
The evaluation of maximal and explosive strength with isometric testing has a significant role in scientific and training practice, from which can be drawn needed information about the segment of the physical state of athletes.
Dopsaj Milivoj, Klisarić Dragan, Kapeleti Marko, Ubović Miloš, Rebić Nemanja, Piper David, Trikoš Bogdan, Stančić Damjan, Samardžić Nemanja, Rajkovac Aleksandar, Nikolić David, Nikolić Milan, Vasiljević Marko, Božović Branislav   +13 more
doaj   +1 more source

Data Augmentation for Audio-Visual Emotion Recognition with an Efficient Multimodal Conditional GAN

Applied Sciences, 2022
Audio-visual emotion recognition is the research of identifying human emotional states by combining the audio modality and the visual modality simultaneously, which plays an important role in intelligent human-machine interactions.
Fei Ma, Yang Li, Shiguang Ni, Shao-Lun Huang, Lin Zhang   +4 more
doaj   +1 more source

Learning Better Representations for Audio-Visual Emotion Recognition with Common Information

Applied Sciences, 2020
Audio-visual emotion recognition aims to distinguish human emotional states by integrating the audio and visual data acquired in the expression of emotions.
Fei Ma, Wei Zhang, Yang Li, Shao-Lun Huang, Lin Zhang   +4 more
doaj   +1 more source

Enzymatic Redox Properties and Cytotoxicity of Irreversible Nitroaromatic Thioredoxin Reductase Inhibitors in Mammalian Cells. [PDF]

Int J Mol Sci, 2023
Nemeikaitė-Čėnienė A, Misevičienė L, Marozienė A, Jonušienė V, Čėnas N.   +4 more
europepmc   +1 more source

MetaTransformer: deep metagenomic sequencing read classification using self-attention models. [PDF]

NAR Genom Bioinform, 2023
Wichmann A, Buschong E, Müller A, Jünger D, Hildebrandt A, Hankeln T, Schmidt B.   +6 more
europepmc   +1 more source

Growth-rate model predicts in vivo tumor response from in vitro data. [PDF]

CPT Pharmacometrics Syst Pharmacol, 2022
Diegmiller R, Salphati L, Alicke B, Wilson TR, Stout TJ, Hafner M.   +5 more
europepmc   +1 more source