Results 121 to 130 of about 379,537 (253)

LARGE-SCALE MULTIVARIATE SPARSE REGRESSION WITH APPLICATIONS TO UK BIOBANK. [PDF]

Ann Appl Stat, 2022
Qian J, Tanigawa Y, Li R, Tibshirani R, Rivas MA, Hastie T.   +5 more
europepmc   +1 more source

Propagating Confidences through CNNs for Sparse Data Regression

, 2018
In most computer vision applications, convolutional neural networks (CNNs) operate on dense image data generated by ordinary cameras. Designing CNNs for sparse and irregularly spaced input data is still an open problem with numerous applications in ...
Eldesokey, Abdelrahman, Felsberg, Michael, Khan, Fahad Shahbaz   +2 more
core  

Surface‐Capped Protein Nanoparticles for Nonviral Gene Delivery

Advanced Materials, EarlyView.
ABSTRACT Developing simple, safe, and efficient nonviral delivery systems remains a significant challenge in bioengineering. Nanoparticles offer promising gene delivery capabilities with reduced toxicity; however, long‐standing challenges related to effective plasmid encapsulation and delivery exist.
Fjorela Xhyliu, Yao Yao, Yeongun Ko, Grant Grasman, Jeffery E. Raymond, Albert Chang, Yuxuan Deng, Grant Dominic, Michael Triebwasser, Joerg Lahann   +9 more
wiley   +1 more source

Generative Models for Crystalline Materials

Advanced Materials, EarlyView.
Generative machine learning models are increasingly used in crystalline materials design. This review outlines major generative approaches and assesses their strengths and limitations. It also examines how generative models can be adapted to practical applications, discusses key experimental considerations for evaluating generated structures, and ...
Houssam Metni, Laura Ruple, Lauren N. Walters, Luca Torresi, Jonas Teufel, Henrik Schopmans, Jona Östreicher, Yumeng Zhang, Marlen Neubert, Yuri Koide, Kevin Steiner, Paul Link, Lukas Bär, Mariana Petrova, Gerbrand Ceder, Pascal Friederich   +15 more
wiley   +1 more source

Sparse sufficient dimension reduction for directional regression

Journal of Big Data
Sufficient dimension reduction has emerged as a powerful tool for extracting meaningful information within high dimensional datasets over the past few decades.
Gayun Kwon, Gijeong Noh, Kyongwon Kim
doaj   +1 more source

Discovery of nonlinear dynamical systems using a Runge-Kutta inspired dictionary-based sparse regression approach. [PDF]

Proc Math Phys Eng Sci, 2022
Goyal P, Benner P.
europepmc   +1 more source

Catch, Release, Repeat: Reversible Protein Capture in Electric Fields Using Antifouling Polymer Brushes

Advanced Materials Interfaces, EarlyView.
ABSTRACT Capturing proteins is easy since their amphiphilic nature allows them to bind to almost any surface. Because of this, releasing them is challenging since various interactions need to be considered for this. We present a simple method to reversibly adsorb proteins on stabilized electrodes.
Erik J. Postma, Andriy R. Kuzmyn, Karin Schroën, Sissi de Beer   +3 more
wiley   +1 more source

Sparse Regression in Cancer Genomics: Comparing Variable Selection and Predictions in Real World Data. [PDF]

Cancer Inform, 2021
O'Shea RJ, Tsoka S, Cook GJ, Goh V.
europepmc   +1 more source

Flow‐Adaptive Gas Sensing Enabled Using a Uniform Au Nanosheet Sensor Array and a Neural Network Inference

Advanced Materials Technologies, EarlyView.
Integrated Au nanosheet sensor array enables simultaneous inference of gas concentration and flow rate via deep neural network analysis, without external flow control. ABSTRACT Gas sensor responses are considerably affected by gas flow rates, thereby inhibiting the accurate detection of target gas concentrations in variable‐flow applications such as ...
Taro Kato, Takahisa Tanaka, Yusuke Hamanaka, Ryo Toyoshima, Ken Uchida   +4 more
wiley   +1 more source

Sparse regression for low-dimensional time-dynamic varying coefficient models with application to air quality data. [PDF]

J Appl Stat, 2023
Liang J, Tian M.
europepmc   +1 more source