Results 101 to 110 of about 603,409 (311)

2M BeautyNet: Facial Beauty Prediction Based on Multi-Task Transfer Learning

IEEE Access, 2020
Facial beauty prediction (FBP) has become an emerging area in the field of artificial intelligence. However, the lacks of data and accurate face representation hinder the development of FBP. Multi-task transfer learning can effectively avoid over-fitting,
Junying Gan, Li Xiang, Yikui Zhai, Chaoyun Mai, Guohui He, Junying Zeng, Zhenfeng Bai, Ruggero Donida Labati, Vincenzo Piuri, Fabio Scotti   +9 more
doaj   +1 more source

Online Learning Task Force report

, 2009
Title from PDF cover (viewed on January 31, 2020)."Senate Bill 767 (2009) established the Online Learning Task Force to craft a thoughtful policy for online learning in Oregon"--Page 1.This archived document is maintained by the State Library of Oregon ...

core  

Towards Defect Phase Diagrams: From Research Data Management to Automated Workflows

Advanced Engineering Materials, EarlyView.
A research data management infrastructure is presented for the systematic integration of heterogeneous experimental and simulation data required for defect phase diagrams. The approach combines openBIS with a companion application for large‐object storage, automated metadata extraction, provenance tracking and federated data access, thereby supporting ...
Khalil Rejiba, Sang‐Hyeok Lee, Christina Gasper, Martina Freund, Sandra Korte‐Kerzel, Ulrich Kerzel   +5 more
wiley   +1 more source

Microstructure Evolution of a VMnFeCoNi High‐Entropy Alloy After Synthesis, Swaging, and Annealing

Advanced Engineering Materials, EarlyView.
The synthesis and processing (rotary swaging and annealing) of the novel VMnFeCoNi alloy is investigated, alongside the estimation of the grain size effect on hardness. Analysis of a wide grain size range of recrystallized microstructures (12–210 µm) reveals a low annealing twin density.
Aditya Srinivasan Tirunilai, Zeki Ayrildi, Buse Şen, Maik Rajkowski, Mathias Redondo Garcia, Markus Stricker, Guillaume Laplanche   +6 more
wiley   +1 more source

Knowledge‐based deep learning system for classifying Alzheimer's disease for multi‐task learning

CAAI Transactions on Intelligence Technology
Deep learning has recently become a viable approach for classifying Alzheimer's disease (AD) in medical imaging. However, existing models struggle to efficiently extract features from medical images and may squander additional information resources for ...
Amol Dattatray Dhaygude, Gaurav Kumar Ameta, Ihtiram Raza Khan, Pavitar Parkash Singh, Renato R. Maaliw III, Natrayan Lakshmaiya, Mohammad Shabaz, Muhammad Attique Khan, Hany S. Hussein, Hammam Alshazly   +9 more
doaj   +1 more source

Generative Multi-Task Learning for Text Classification

IEEE Access, 2020
Multi-task learning leverages potential correlations among related tasks to extract common features and yield performance gains. In this paper, a generative multi-task learning (MTL) approach for text classification and categorization is proposed, which ...
Wei Zhao, Hui Gao, Shuhui Chen, Nan Wang
doaj   +1 more source

Multi-Task Representation Learning.

, 2017
The majority of existing machine learning algorithms assume that training examples are already represented with sufficiently good features, in practice ones that are designed manually. This traditional way of preprocessing the data is not only tedious and time consuming, but also not sufficient to capture all the different aspects of the available ...
Bouguelia, Mohamed-Rafik, Pashami, Sepideh, Nowaczyk, Sławomir   +2 more
openaire   +2 more sources

A Lightweight Procedural Layer for Hybrid Experimental–Computational Workflows in Materials Science

Advanced Engineering Materials, EarlyView.
We unveil a prototype hybrid‐workflow framework that fuses automatedcomputation with hands‐on experiments. Built atop pyiron, a lightweight, parameterized layer translates procedure descriptions into executable manual steps, syncing instrument settings, human interventions, and data capture in real‐time today.
Steffen Brinckmann, Sarath Menon, Raphael Röske, Johannes Steinhülb, Michael Selzer, Jan Janssen, Tilmann Hickel, Ruth Schwaiger, Jörg Neugebauer   +8 more
wiley   +1 more source

Joint DOA and TOA estimation method based on Pareto multi-task learning

上海师范大学学报. 自然科学版
A joint estimation method for direction of arrival （DOA） and time of arrival （TOA） was proposed based on Pareto multi-task learning， which transformed the traditional multi-task learning problem into a multi-objective optimization problem for solution. A
CHEN Erqi, WEI Shuang
doaj   +1 more source

Consensus Graph Learning for Multi-Task Multi-View Clustering [PDF]

Jisuanji gongcheng
Multi-view clustering focuses on mining consistency information between different views to improve performance. Most existing multi-view clustering algorithms focus on single-task multi-view clustering while ignoring the similarity of related tasks ...
WANG Lijuan, LI Xueyan, YIN Ming, HAO Zhifeng, CAI Ruichu, CHEN Wei, LIU Rui
doaj   +1 more source