Scientific workflows: Past, present and future
This special issue and our editorial celebrate 10 years of progress with data-intensive or
scientific workflows. There have been very substantial advances in the representation of …
scientific workflows. There have been very substantial advances in the representation of …
Exploring the role of machine learning in scientific workflows: Opportunities and challenges
In this survey, we discuss the challenges of executing scientific workflows as well as existing
Machine Learning (ML) techniques to alleviate those challenges. We provide the context …
Machine Learning (ML) techniques to alleviate those challenges. We provide the context …
Quantifying reproducibility in computational biology: the case of the tuberculosis drugome
How easy is it to reproduce the results found in a typical computational biology paper?
Either through experience or intuition the reader will already know that the answer is with …
Either through experience or intuition the reader will already know that the answer is with …
Artificial intelligence for modeling complex systems: taming the complexity of expert models to improve decision making
Major societal and environmental challenges involve complex systems that have diverse
multi-scale interacting processes. Consider, for example, how droughts and water reserves …
multi-scale interacting processes. Consider, for example, how droughts and water reserves …
A new approach for publishing workflows: abstractions, standards, and linked data
In recent years, a variety of systems have been developed that export the workflows used to
analyze data and make them part of published articles. We argue that the workflows that are …
analyze data and make them part of published articles. We argue that the workflows that are …
Will AI write scientific papers in the future?
Y Gil - AI Magazine, 2022 - ojs.aaai.org
In this presidential address, I would like to start with a personal reflection on the field and
then share with you the research directions I am pursuing and my excitement about the …
then share with you the research directions I am pursuing and my excitement about the …
Abstract, link, publish, exploit: An end to end framework for workflow sharing
Scientific workflows are increasingly used to manage and share scientific computations and
methods to analyze data. A variety of systems have been developed that store the workflows …
methods to analyze data. A variety of systems have been developed that store the workflows …
Toward long-term and archivable reproducibility
M Akhlaghi, R Infante-Sainz… - … in Science & …, 2021 - ieeexplore.ieee.org
Analysis pipelines commonly use high-level technologies that are popular when created, but
are unlikely to be readable, executable, or sustainable in the long term. A set of criteria is …
are unlikely to be readable, executable, or sustainable in the long term. A set of criteria is …
Planning bioinformatics workflows using an expert system
Motivation Bioinformatic analyses are becoming formidably more complex due to the
increasing number of steps required to process the data, as well as the proliferation of …
increasing number of steps required to process the data, as well as the proliferation of …
[HTML][HTML] Perspectives on automated composition of workflows in the life sciences
Scientific data analyses often combine several computational tools in automated pipelines,
or workflows. Thousands of such workflows have been used in the life sciences, though their …
or workflows. Thousands of such workflows have been used in the life sciences, though their …