Alert button

"Time": models, code, and papers
Alert button

Anatomy-aware Self-supervised Learning for Anomaly Detection in Chest Radiographs

May 09, 2022
Junya Sato, Yuki Suzuki, Tomohiro Wataya, Daiki Nishigaki, Kosuke Kita, Kazuki Yamagata, Noriyuki Tomiyama, Shoji Kido

Figure 1 for Anatomy-aware Self-supervised Learning for Anomaly Detection in Chest Radiographs
Figure 2 for Anatomy-aware Self-supervised Learning for Anomaly Detection in Chest Radiographs
Figure 3 for Anatomy-aware Self-supervised Learning for Anomaly Detection in Chest Radiographs
Figure 4 for Anatomy-aware Self-supervised Learning for Anomaly Detection in Chest Radiographs
Viaarxiv icon

Mingling Foresight with Imagination: Model-Based Cooperative Multi-Agent Reinforcement Learning

Apr 20, 2022
Zhiwei Xu, Dapeng Li, Bin Zhang, Yuan Zhan, Yunpeng Bai, Guoliang Fan

Figure 1 for Mingling Foresight with Imagination: Model-Based Cooperative Multi-Agent Reinforcement Learning
Figure 2 for Mingling Foresight with Imagination: Model-Based Cooperative Multi-Agent Reinforcement Learning
Figure 3 for Mingling Foresight with Imagination: Model-Based Cooperative Multi-Agent Reinforcement Learning
Figure 4 for Mingling Foresight with Imagination: Model-Based Cooperative Multi-Agent Reinforcement Learning
Viaarxiv icon

Decentralized Stochastic Proximal Gradient Descent with Variance Reduction over Time-varying Networks

Dec 20, 2021
Xuanjie Li, Yuedong Xu, Jessie Hui Wang, Xin Wang, John C. S. Lui

Figure 1 for Decentralized Stochastic Proximal Gradient Descent with Variance Reduction over Time-varying Networks
Figure 2 for Decentralized Stochastic Proximal Gradient Descent with Variance Reduction over Time-varying Networks
Figure 3 for Decentralized Stochastic Proximal Gradient Descent with Variance Reduction over Time-varying Networks
Figure 4 for Decentralized Stochastic Proximal Gradient Descent with Variance Reduction over Time-varying Networks
Viaarxiv icon

WavThruVec: Latent speech representation as intermediate features for neural speech synthesis

Mar 31, 2022
Hubert Siuzdak, Piotr Dura, Pol van Rijn, Nori Jacoby

Figure 1 for WavThruVec: Latent speech representation as intermediate features for neural speech synthesis
Figure 2 for WavThruVec: Latent speech representation as intermediate features for neural speech synthesis
Figure 3 for WavThruVec: Latent speech representation as intermediate features for neural speech synthesis
Figure 4 for WavThruVec: Latent speech representation as intermediate features for neural speech synthesis
Viaarxiv icon

A New Feature Selection Method for LogNNet and its Application for Diagnosis and Prognosis of COVID-19 Disease Using Routine Blood Values

May 20, 2022
Mehmet Tahir Huyut, Andrei Velichko

Figure 1 for A New Feature Selection Method for LogNNet and its Application for Diagnosis and Prognosis of COVID-19 Disease Using Routine Blood Values
Figure 2 for A New Feature Selection Method for LogNNet and its Application for Diagnosis and Prognosis of COVID-19 Disease Using Routine Blood Values
Figure 3 for A New Feature Selection Method for LogNNet and its Application for Diagnosis and Prognosis of COVID-19 Disease Using Routine Blood Values
Figure 4 for A New Feature Selection Method for LogNNet and its Application for Diagnosis and Prognosis of COVID-19 Disease Using Routine Blood Values
Viaarxiv icon

An Extensive Data Processing Pipeline for MIMIC-IV

Apr 29, 2022
Mehak Gupta, Brennan Gallamoza, Nicolas Cutrona, Pranjal Dhakal, Raphael Poulain, Rahmatollah Beheshti

Figure 1 for An Extensive Data Processing Pipeline for MIMIC-IV
Figure 2 for An Extensive Data Processing Pipeline for MIMIC-IV
Figure 3 for An Extensive Data Processing Pipeline for MIMIC-IV
Figure 4 for An Extensive Data Processing Pipeline for MIMIC-IV
Viaarxiv icon

Machining Cycle Time Prediction: Data-driven Modelling of Machine Tool Feedrate Behavior with Neural Networks

Jun 18, 2021
Chao Sun, Javier Dominguez-Caballero, Rob Ward, Sabino Ayvar-Soberanis, David Curtis

Figure 1 for Machining Cycle Time Prediction: Data-driven Modelling of Machine Tool Feedrate Behavior with Neural Networks
Figure 2 for Machining Cycle Time Prediction: Data-driven Modelling of Machine Tool Feedrate Behavior with Neural Networks
Figure 3 for Machining Cycle Time Prediction: Data-driven Modelling of Machine Tool Feedrate Behavior with Neural Networks
Figure 4 for Machining Cycle Time Prediction: Data-driven Modelling of Machine Tool Feedrate Behavior with Neural Networks
Viaarxiv icon

Multivariate Quantile Bayesian Structural Time Series (MQBSTS) Model

Oct 04, 2020
Ning Ning

Figure 1 for Multivariate Quantile Bayesian Structural Time Series (MQBSTS) Model
Figure 2 for Multivariate Quantile Bayesian Structural Time Series (MQBSTS) Model
Figure 3 for Multivariate Quantile Bayesian Structural Time Series (MQBSTS) Model
Figure 4 for Multivariate Quantile Bayesian Structural Time Series (MQBSTS) Model
Viaarxiv icon

Gen6D: Generalizable Model-Free 6-DoF Object Pose Estimation from RGB Images

Apr 22, 2022
Yuan Liu, Yilin Wen, Sida Peng, Cheng Lin, Xiaoxiao Long, Taku Komura, Wenping Wang

Figure 1 for Gen6D: Generalizable Model-Free 6-DoF Object Pose Estimation from RGB Images
Figure 2 for Gen6D: Generalizable Model-Free 6-DoF Object Pose Estimation from RGB Images
Figure 3 for Gen6D: Generalizable Model-Free 6-DoF Object Pose Estimation from RGB Images
Figure 4 for Gen6D: Generalizable Model-Free 6-DoF Object Pose Estimation from RGB Images
Viaarxiv icon

Empirical Analysis of Lifelog Data using Optimal Feature Selection based Unsupervised Logistic Regression (OFS-ULR) Model with Spark Streaming

Apr 12, 2022
Sadhana Tiwari, Sonali Agarwal

Figure 1 for Empirical Analysis of Lifelog Data using Optimal Feature Selection based Unsupervised Logistic Regression (OFS-ULR) Model with Spark Streaming
Figure 2 for Empirical Analysis of Lifelog Data using Optimal Feature Selection based Unsupervised Logistic Regression (OFS-ULR) Model with Spark Streaming
Figure 3 for Empirical Analysis of Lifelog Data using Optimal Feature Selection based Unsupervised Logistic Regression (OFS-ULR) Model with Spark Streaming
Figure 4 for Empirical Analysis of Lifelog Data using Optimal Feature Selection based Unsupervised Logistic Regression (OFS-ULR) Model with Spark Streaming
Viaarxiv icon