An Optimized NL2SQL System for Enterprise Data Mart

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	ECML PKDD (2021 : Online) Machine Learning and Knowledge Discovery in Databases ; Part 5: Applied Data Science Track
1. Verfasser:	Dong, Kaiwen (VerfasserIn)
Weitere Verfasser:	Lu, Kai (VerfasserIn), Xia, Xin (VerfasserIn), Cieslak, David (VerfasserIn), Chawla, Nitesh V. (VerfasserIn)
Pages:	5
Format:	UnknownFormat
Sprache:	eng
Veröffentlicht:	2021
Schlagworte:
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Bestellen

Titel	Jahr	Verfasser
AutoML Meets Time Series Regression Design and Analysis of the AutoSeries Challenge	2021	Xu, Zhen
Enabling Machine Learning on the Edge Using SRAM Conserving Efficient Neural Networks Execution Approach	2021	Sudharsan, Bharath
Effects of Boundary Conditions in Fully Convolutional Networks for Learning Spatio-Temporal Dynamics	2021	Alguacil, Antonio
MMNet: Multi-granularity Multi-mode Network for Item-Level Share Rate Prediction	2021	Yu, Haomin
Quantifying Explanations of Neural Networks in E-Commerce Based on LRP	2021	Nguyen, Anna
Time Aspect in Making an Actionable Prediction of a Conversation Breakdown	2021	Janiszewski, Piotr
An Optimized NL2SQL System for Enterprise Data Mart	2021	Dong, Kaiwen
Checking Robustness of Representations Learned by Deep Neural Networks	2021	Szyc, Kamil
Automated Machine Learning for Satellite Data: Integrating Remote Sensing Pre-trained Models into AutoML Systems	2021	Salinas, Nelly Rosaura Palacios
PuzzleShuffle: Undesirable Feature Learning for Semantic Shift Detection	2021	Kanebako, Yusuke
Methods for Automatic Machine-Learning Workflow Analysis	2021	Wendlinger, Lorenz
DeepPE: Emulating Parameterization in Numerical Weather Forecast Model Through Bidirectional Network	2021	Xu, Fengyang
ConCAD: Contrastive Learning-Based Cross Attention for Sleep Apnea Detection	2021	Huang, Guanjie
Action Set Based Policy Optimization for Safe Power Grid Management	2021	Zhou, Bo
Conditional Neural Relational Inference for Interacting Systems	2021	Ramos, Joao A. Candido
On Inferring a Meaningful Similarity Metric for Customer Behaviour	2021	Berg, Sophie van den
Robust Learning for Text Classification with Multi-source Noise Simulation and Hard Example Mining	2021	Xu, Guowei
Multi-task Learning for User Engagement and Adoption in Live Video Streaming Events	2021	Antaris, Stefanos
Calling to CNN-LSTM for Rumor Detection: A Deep Multi-channel Model for Message Veracity Classification in Microblogs	2021	Azri, Abderrazek
Physics Knowledge Discovery via Neural Differential Equation Embedding	2021	Xue, Yexiang

Alle Artikel auflisten