\ua9 2019 IEEE. Deep learning is one of the most exciting and fast-growing techniques in Artificial Intelligence. The unique capacity of deep learning models to automatically learn patterns from the data differentiates it from other machine learning techniques. Deep learning is responsible for a significant number of recent breakthroughs in AI. However, deep learning models are highly dependent on the underlying data. So, consistency, accuracy, and completeness of data is essential for a deep learning model. Thus, data management principles and practices need to be adopted throughout the development process of deep learning models. The objective of this study is to identify and categorise data management challenges faced by practitioners in...
Dynamic data and continuously evolving sets of records are essential for a wide variety of today’s d...
International audienceWith the emergence of machine learning (ML) techniques in database research, M...
Deep learning (DL) is a highly impactful field in machine learning that has revolutionized various d...
Deep learning (DL) based software systems are difficult to develop and maintain in industrial settin...
Deep learning (DL) based software systems are difficult to develop and maintain in industrial settin...
Data scarcity is a major challenge when training deep learning (DL) models. DL demands a large amoun...
Data-centric AI is at the center of a fundamental shift in software engineering where machine learni...
Deep learning is currently an extremely active research area in pattern recognition society. It has ...
Invited paperDeep learning with neural networks is applied by an increasing number of people outside...
Due to the impact of Deep Learning both in industry and academia, there is a growing demand of gradu...
In the recent years deep learning has become more and more popular and it is applied in a variety o...
In the real world, data used to build machine learning models always has different sizes and charact...
Context: With the advent of Machine Learning (ML) and especially Deep Learning (DL) technology, comp...
This Deep learning is a forthcoming field ofMachine Learning (ML). Deep Learning (DL) consists of se...
Over the past decade, deep learning has pro- foundly transformed the landscape of science and tech-...
Dynamic data and continuously evolving sets of records are essential for a wide variety of today’s d...
International audienceWith the emergence of machine learning (ML) techniques in database research, M...
Deep learning (DL) is a highly impactful field in machine learning that has revolutionized various d...
Deep learning (DL) based software systems are difficult to develop and maintain in industrial settin...
Deep learning (DL) based software systems are difficult to develop and maintain in industrial settin...
Data scarcity is a major challenge when training deep learning (DL) models. DL demands a large amoun...
Data-centric AI is at the center of a fundamental shift in software engineering where machine learni...
Deep learning is currently an extremely active research area in pattern recognition society. It has ...
Invited paperDeep learning with neural networks is applied by an increasing number of people outside...
Due to the impact of Deep Learning both in industry and academia, there is a growing demand of gradu...
In the recent years deep learning has become more and more popular and it is applied in a variety o...
In the real world, data used to build machine learning models always has different sizes and charact...
Context: With the advent of Machine Learning (ML) and especially Deep Learning (DL) technology, comp...
This Deep learning is a forthcoming field ofMachine Learning (ML). Deep Learning (DL) consists of se...
Over the past decade, deep learning has pro- foundly transformed the landscape of science and tech-...
Dynamic data and continuously evolving sets of records are essential for a wide variety of today’s d...
International audienceWith the emergence of machine learning (ML) techniques in database research, M...
Deep learning (DL) is a highly impactful field in machine learning that has revolutionized various d...