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Related publications (671)

Epistemic Images in Early-Modern Mixed Mathematics

Challenging Ancient textual authorities, images are ubiquitous in the early-modern regime of knowledge: from Vesalius’ De humani corporis fabrica to Newton’s Principia through Hooke’s Micrographia, illustrations, depictions, figures, diagrams, and schemati ...

Springer2020

Machine learning of multiscale active force generation models for the efficient simulation of cardiac electromechanics

Alfio Quarteroni, Francesco Regazzoni

High fidelity (HF) mathematical models describing the generation of active force in the cardiac muscle tissue typically feature a large number of state variables to capture the intrinsically complex underlying subcellular mechanisms. With the aim of drasti ...

2020

Workflows in AiiDA: Engineering a high-throughput, event-based engine for robust and modular computational workflows

Nicola Marzari, Giovanni Pizzi, Martin Uhrin, Sebastiaan Philippe Huber

Over the last two decades, the field of computational science has seen a dramatic shift towards incorporating high-throughput computation and big-data analysis as fundamental pillars of the scientific discovery process. This has necessitated the developmen ...

2020

Estimating The Degree of Sleepiness by Integrating Articulatory Feature Knowledge In Raw Waveform Based CNNs

Julian David Fritsch, Subrahmanya Pavankumar Dubagunta

Speech-based degree of sleepiness estimation is an emerging research problem. This paper investigates an end-to-end approach, where given raw waveform as input, a convolutional neural network (CNN) estimates at its output the degree of sleepiness. Within t ...

2020

How Values Play into Sustainability Assessments: Challenges and a Possible Way Forward

Franziska Meinherz, Livia Bianca Fritz

Any sustainability assessment uses some notion of sustainability as a reference. It is increasingly acknowledged that sustainability is a contested concept and that its different definitions are rooted in different values. Accordingly, researchers have sta ...

Cambridge University Press2020

Database of Embodied Quantity Outputs: Lowering Material Impacts Through Engineering

Corentin Jean Dominique Fivet, Endrit Hoxha, Catherine Elvire L. De Wolf

Current studies and performance labels focus mainly on the operational energy demand of buildings due to heating, cooling, ventilation, lighting, and hot water, but they rarely account for embodied impacts. Performing a life cycle assessment (LCA) on an en ...

2020

Cleaning Denial Constraint Violations through Relaxation

Anastasia Ailamaki, Manolis Karpathiotakis, Styliani Asimina Giannakopoulou

Data cleaning is a time-consuming process that depends on the data analysis that users perform. Existing solutions treat data cleaning as a separate offline process that takes place before analysis begins. Applying data cleaning before analysis assumes a p ...

ASSOC COMPUTING MACHINERY2020

Query-driven Repair of Functional Dependency Violations

Anastasia Ailamaki, Manolis Karpathiotakis, Styliani Asimina Giannakopoulou

IEEE COMPUTER SOC2020

Human Trajectory Forecasting in Crowds: A Deep Learning Perspective

Alexandre Massoud Alahi, Sven Kreiss, Parth Ashit Kothari

Since the past few decades, human trajectory forecasting has been a field of active research owing to its numerous real-world applications: evacuation situation analysis, traffic operations, deployment of social robots in crowded environments, to name a fe ...

2020

AlloHaptic: Robot-Mediated Haptic Collaboration for Learning Linear Functions*

Pierre Dillenbourg, Barbara Bruno, Wafa Monia Benkaouar Johal, Hala Khodr, Aditi Kothiyal, Soheil Kianzad

Collaborative learning appears in a joint intellectual efforts of individuals to understand an object of knowledge collectively. In their search for understanding the problems, meanings, and solutions, learners employ different multi-modal strategies. In t ...

IEEE2020

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