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Asset Management

Asset management in ML is a discipline that offers engineers the necessary management support for processes and operations on different types of ML assets.

Papers

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Showing 51–87 of 87 papers

TitleStatusHype
Smart Support for Mission Success—0
Cyberphysical Sequencing for Distributed Asset Management with Broad Traceability—0
Liquidity Stress Testing in Asset Management -- Part 3. Managing the Asset-Liability Liquidity Risk—0
RoadAtlas: Intelligent Platform for Automated Road Defect Detection and Asset Management—0
Power transformer faults diagnosis using undestructive methods (Roger and IEC) and artificial neural network for dissolved gas analysis applied on the functional transformer in the Algerian north-eastern: a comparative study—0
Liquidity Stress Testing in Asset Management -- Part 2. Modeling the Asset Liquidity Risk—0
Option to survive or surrender: carbon asset management and optimization in thermal power enterprises from China—0
Graphical Models for Financial Time Series and Portfolio Selection—0
Liquidity Stress Testing in Asset Management -- Part 1. Modeling the Liability Liquidity Risk—0
Bridging the gap between Markowitz planning and deep reinforcement learning—0
AAMDRL: Augmented Asset Management with Deep Reinforcement Learning—0
Using Machine Learning and Alternative Data to Predict Movements in Market Risk—0
Stochastic reserving with a stacked model based on a hybridized Artificial Neural Network—0
Predictive Analytics for Water Asset Management: Machine Learning and Survival Analysis—0
Long short-term memory networks and laglasso for bond yield forecasting: Peeping inside the black box—0
Machine Learning in Asset Management—Part 2: Portfolio Construction—Weight Optimization. The Journal of Financial Data ScienceCode2
Machine Learning in Asset Management—Part 1: Portfolio Construction—Trading StrategiesCode2
A Deep Neural Networks Approach for Pixel-Level Runway Pavement Crack Segmentation Using Drone-Captured Images—0
Semi-supervised Anomaly Detection using AutoEncodersCode1
A General Framework on Enhancing Portfolio Management with Reinforcement Learning—0
A deep adversarial approach based on multi-sensor fusion for remaining useful life prognostics—0
Concepts, Components and Collections of Trading Strategies and Market Color—0
Road Damage Detection Acquisition System based on Deep Neural Networks for Physical Asset Management—0
Myopic robust index tracking with Bregman divergence—0
Testing Sharpe ratio: luck or skill?—0
Connecting Sharpe ratio and Student t-statistic, and beyond—0
Enhancement of Power Equipment Management Using Knowledge Graph—0
Combining Unsupervised and Supervised Learning for Asset Class Failure Prediction in Power Systems—0
A Big data analytical framework for portfolio optimization—0
Conditional Transfer with Dense Residual Attention: Synthesizing traffic signs from street-view imagery—0
Data Fusion and Machine Learning Integration for Transformer Loss of Life Estimation—0
On Biased Correlation Estimation—0
S&P500 Forecasting and Trading using Convolution Analysis of Major Asset Classes—0
Dynamic portfolio strategy using clustering approach—0
Securities Lending Strategies: Exclusive Valuations and Auction Bids—0
Risk-sensitive investment in a finite-factor model—0
Large-scale empirical study on pairs trading for all possible pairs of stocks listed on the first section of the Tokyo Stock Exchange—0
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