Канал: WeaMyLProject

Comparing One- and Binary-class SVM-based Software Defect Predictors

Comparing One- and Binary-class SVM-based Software Defect Predictors

The WeaMyL Forecasting Platform

The WeaMyL Forecasting Platform

The WeaMyL Annotated Atlas of Meteorological Observations

The WeaMyL Annotated Atlas of Meteorological Observations

Enhancing the Performance of Quantitative Precipitation Estimation Using ML Models on Radar Data

Enhancing the Performance of Quantitative Precipitation Estimation Using ML Models on Radar Data

Enhancing the Performance of Software Authorship Attribution Using Deep Autoencoders

Enhancing the Performance of Software Authorship Attribution Using Deep Autoencoders

Video Completion Conditioned by Natural Language-Based Descriptions

Video Completion Conditioned by Natural Language-Based Descriptions

Automatic Code Generation for Malware Detection Based on MITRE ATT&CK Techniques

Automatic Code Generation for Malware Detection Based on MITRE ATT&CK Techniques

Protein-Protein Interaction Prediction using a Deep Learning Approach based on Autoencoders

Protein-Protein Interaction Prediction using a Deep Learning Approach based on Autoencoders

Generation and Simulation of Artificial Societies using Learning Agents

Generation and Simulation of Artificial Societies using Learning Agents

MBMT-Net: A Multi-Backbone, Multi-Task Deep Convolutional Neural Network

MBMT-Net: A Multi-Backbone, Multi-Task Deep Convolutional Neural Network

ConvLSTM architectures for meteorological nowcasting based on satellite imagery

ConvLSTM architectures for meteorological nowcasting based on satellite imagery

A brief introduction on the netCDF file format, the OPeNDAP protocol and THREDDS Data server

A brief introduction on the netCDF file format, the OPeNDAP protocol and THREDDS Data server

How to use the WeaMyL machine learning forecasting platform

How to use the WeaMyL machine learning forecasting platform

Using convolutional autoencoders for precipitation nowcasting based on radar data

Using convolutional autoencoders for precipitation nowcasting based on radar data

Processing and filtering of radar end-product composite reflectivity

Processing and filtering of radar end-product composite reflectivity

How nowcasting is used in today’s danger warnings

How nowcasting is used in today’s danger warnings

Variability of precipitation in Romania: recent trends and projected changes in climate scenarios

Variability of precipitation in Romania: recent trends and projected changes in climate scenarios

A country scale assessment of the heat hazard-risk in urban areas

A country scale assessment of the heat hazard-risk in urban areas

DNA classification using supervised deep learning

DNA classification using supervised deep learning

Nowcasting on Yr – opportunities and challenges

Nowcasting on Yr – opportunities and challenges

Weather radars – basic principles and application in nowcasting in Romania

Weather radars – basic principles and application in nowcasting in Romania

Technology in weather forecasting

Technology in weather forecasting

A brief introduction to the netCDF format and THREDDS data server

A brief introduction to the netCDF format and THREDDS data server

Computational models for nowcasting

Computational models for nowcasting

Supervised and unsupervised machine learning for nowcasting in the central Transylvania region

Supervised and unsupervised machine learning for nowcasting in the central Transylvania region

Deep learning models for composite reflectivity prediction

Deep learning models for composite reflectivity prediction

Deep neural network models for nowcasting using satellite data

Deep neural network models for nowcasting using satellite data

Enhancing the performance of indoor-outdoor image classifications using depth-map features

Enhancing the performance of indoor-outdoor image classifications using depth-map features

Review and analysis of grayscale photography colorization using CNNs

Review and analysis of grayscale photography colorization using CNNs

A machine learning approach for data protection in VR therapy applications

A machine learning approach for data protection in VR therapy applications

Training data augmentation for RL based trading algorithms using adversarial techniques

Training data augmentation for RL based trading algorithms using adversarial techniques