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SKA Science Data Challenge 2: analysis and results

Publications associées (37)

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Unleashing the power of semantic text analysis: a complex systems approach

Andrea Martini

In the present information era, a huge amount of machine-readable data is available regarding scientific publications. Such unprecedented wealth of data offers the opportunity to investigate science itself as a complex interacting system by means of quanti ...

EPFL2018

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Advanced technologies based on Internet of Things (IOT) are blazing a trail to effective and efficient management of an overall plant. In this context, manufacturing companies require an innovative strategy to survive in a competitive business environment, ...

SPRINGER-VERLAG BERLIN2018

BEAT: An Open-Science Web Platform

Sébastien Marcel, André Anjos, Laurent El Shafey

With the increased interest in computational sciences, machine learning (ML), pattern recognition (PR) and big data, governmental agencies, academia and manufacturers are overwhelmed by the constant influx of new algorithms and techniques promising improve ...

2017

Continuously Reproducing Toolchains in Pattern Recognition and Machine Learning Experiments

Sébastien Marcel, André Anjos, Tiago De Freitas Pereira, Amir Mohammadi

Pattern recognition and machine learning research work often contains experimental results on real-world data, which corroborates hypotheses and provides a canvas for the development and comparison of new ideas. Results, in this context, are typically summ ...

2017

Open science practices in geospatial education and research

Stéphane Joost

This presentation was part of Day 5 of the Open Science in Practice Summer School #osip2017. Additional information can be found on osip2017.epfl.ch. ...

2017

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Brainhack events offer a novel workshop format with participant-generated content that caters to the rapidly growing open neuroscience community. Including components from hackathons and unconferences, as well as parallel educational sessions, Brainhack fo ...

2016

The reality of transdisciplinarity: a framework-based self-reflection from science and practice leaders

Claudia Rebeca Binder Signer, Thorsten Schilling

This paper provided results of a framework-based self-reflection process conducted by the science and the practice leaders of two transdisciplinary projects realized in co-leadership from 2011 until 2014. It analyzes from the perspectives of the science an ...

2015

Semi-supervised and unsupervised kernel-based novelty detection with application to remote sensing images

Frank Grégoire Jean de Morsier

The main challenge of new information technologies is to retrieve intelligible information from the large volume of digital data gathered every day. Among the variety of existing data sources, the satellites continuously observing the surface of the Earth ...

EPFL2014

Enabling Scientific Discovery Via Innovative Spatial Data Management

Anastasia Ailamaki, Thomas Heinis, Farhan Tauheed, Mirjana Pavlovic

Researchers in several scientific disciplines are struggling to cope with the masses of data resulting from either increasingly precise instruments or from simulation runs on ever more powerful supercomputers. Efficiently managing this deluge of data has b ...

2013

Corporate Science and Voluntary Disclosure

Markus Simeth

The dissertation investigates the phenomenon of firms that make voluntary contributions to the stock of scientific knowledge. Such a firm behaviour appears counterintuitive from a traditional viewpoint, since no direct financial returns can be expected whi ...

EPFL2013