911 search results for “machine” in the Public website
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Pascal chair 2023
Peter Flach is Professor of Artificial Intelligence at the University of Bristol. An internationally leading scholar in the evaluation and improvement of machine learning models using ROC analysis and calibration, he has also published on mining highly structured data, on knowledge-driven and explainable…
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Discovering the preference hypervolume: an interactive model for real world computational co-creativity
In this thesis it is posed that the central object of preference discovery is a co-creative process in which the Other can be represented by a machine. It explores efficient methods to enhance introverted intuition using extraverted intuition's communication lines.
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Flagships
In CCLS several subgroups have formed, below you can find an overview of these groups with the names of the leading researchers and a short outline of the project.
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BNAIC/Benelearn conference big success
Reinforcement learning, agents and classification: these are just some of the topics researchers on Artificial Intelligence and Machine Learning discussed at the BNAIC/BeneLearn conference 2020. It was the first time Leiden University hosted the annually held Belgium Netherlands Artificial Intelligence…
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Artifical intelligence gets a boost from quantum computing
Machine learning - on classical computers- has made great progress in the past five years. Computer translation of speech and text is just one example. In Leiden, some researchers expect that machine learning, empowered by quantum systems, even if they only contain a few dozen qubits, can lead to a…
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Previous SAILS Workshops
SAILS likes to occasionally organise workshops about topics that relate to our programme. On this page you can find more information about previous workshops.
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Holger Hoos in NRC about AI brain drain
Dutch newspaper NRC contacted four Dutch universities regarding the brain drain in the field of Artificial Intelligence (AI) that is going on in the Netherlands.
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Alex Brandsen
Faculteit Archeologie
- Publications
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Automated Design and Analysis of Algorithms
The Automated Design and Analysis of Algorithms (ADA) research group pursues the development of Artificial Intelligence techniques that complement, rather than replace, human intelligence.
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Reduction of single use coffee cups
The goal is to reduce single use coffee cup use both at the university cafés and cofee machines.
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Translation
Empirical and experimental research focusing on literary, legal, medical and audiovisual translation.
- Data Science & Artificial Intelligence
- Meet our staff
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Proteins in harmony: Tuning selectivity in early drug discovery
This thesis describes the importance of being able to control the selectivity of potential drug candidates.
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Transforming data into knowledge for intelligent decision-making in early drug discovery
Promotor: A.P.IJzerman Co-promotor: A. Bender
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LTP Lecture Machine Learning in Science: Just a toy?
Lecture
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Leiden workshop in Political Science: Outsiders Against the Party Machine
Lecture
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Florence Nightingale Colloquium
Here you can find the recordings of previous Florence Nightingale Colloquia.
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'Europe loses AI battle'
Europe falls behind China and the United States in the field of artificial intelligence (AI), which creates a brain drain for talented students and scientists. A high standard research institute for AI can turn the tide, claims initiator Holger Hoos, Professor of Machine Learning.
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The Hybrid Intelligence Centre
Hybrid Intelligence (HI) is the combination of human and machine intelligence, expanding human intellect instead of replacing it. HI takes human expertise and intentionality into account when making meaningful decisions and perform appropriate actions, together with ethical, legal and societal values.…
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Radiomics-based machine learning classification of bone chondrosarcoma
PhD defence
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Computational speedups and learnability in quantum machine learning
PhD defence
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Machine Learning and Computer Vision for Urban Drainage Inspections
PhD defence
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Reliable and Fair Machine Learning for Risk Assessment
PhD defence
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Tessa Verhoef: 'An algorithm still has a lot to learn from human interaction'
If an algorithm has to learn to understand language, simply having a lot of data doesn’t help much. Like us, a computer has to learn the language in interaction with others. Tessa Verhoef is fascinated by how this interaction works.
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Scientific computing for Drug Discovery in Python and/or R
Data analysis with Python and R are rapidly becoming essential skills for modern scientists. Therefore, we are offering courses to develop your scientific computing skills. Those courses are optional for LACDR PhD candidates.
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Computational Linguistics
In this theme you will be supplied with a firm background in the core of current computational linguistics and a solid comprehension of its neighboring fields.
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From data to discoveries: machine learning and optimization in space
Lecture
- About this minor
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Algorithms for quantum software
Top scientists of three Dutch universities are working on software and systems for quantum computers. Researchers of the Leiden Institute of Advanced Computer Science (LIACS) and the Leiden Institute of Physics (LION) are developing new algorithms to make those super computers work. The coming years,…
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History
Life Sciences Artificial Intelligence Data Science
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Small Grants 2024 Research Projects
The LUCDH foster the development of new digital research by awarding a number of Small Grants each year. As in previous years the LUCDH received a large number of excellent grant applications for Research and Personal Development funds. Congratulations to the recipients of this year's research award…
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Applied statistics as a pillar of data science
Data science is now growing fast in many places, but scholars at Leiden University have been developing data science techniques for a long time already. Thanks to their broad-based expertise, Leiden statisticians are currently combining the achievements in statistics with the latest methods of statistical…
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Elise Dusseldorp
Faculteit der Sociale Wetenschappen
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Guillermo Guerrero Egido
Science
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Marjolein Fokkema
Faculteit der Sociale Wetenschappen
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Vasilii Bokov
Science
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Alina Karakanta
Faculty of Humanities
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Felix Frohnert
Science
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Roozbeh Siyadatzadeh
Science
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Julian Steinke
Faculteit der Sociale Wetenschappen
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Vincent Croft-
Science
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Daniel Vale
Faculteit Rechtsgeleerdheid
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Dovile Rimkute
Faculty Governance and Global Affairs
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Hongchang Shan
Science
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Julian Karch
Faculteit der Sociale Wetenschappen
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Mert Yazan
Science
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Fons Verbeek
Science
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Michael Lew
Science