390 search results for “tessa in automation” in the Public website
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Software developments in automated structure solution and crystallographic studies of the Sso10a2 and human C1 inhibitor protein
Promotor: J.P. Abrahams, Co-Promotor: N.S. Pannu
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Tessa YudithaFaculty of Humanities
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Tessa Assies
Faculty of Law
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Tessa GoteFaculty of Science
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Tessa Verburg
Faculteit Geneeskunde
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Tessa PhilippaLeiden University Library
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Tessa MinterSocial & Behavioural Sciences
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Tessa HagensFaculty of Science
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Tessa KelderFaculty of Humanities
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Tessa MearnsICLON
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Tessa VergroesenFaculty of Science
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Automated detection
The results of the investigations by citizens are used in an innovative research project that investigates the potential of machine learning and automated detection in archaeology.
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Tessa VerhoefFaculty of Science
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Tessa van der Miesen
Faculty of Governance and Global Affairs
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Tessa de RooLeiden University Library
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Tessa van Leeuwen
Student and Educational Affairs (SEA)
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Tessa de Vos
Faculty of Science
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Tessa Aleida ter Avest
Faculty of Law
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Automated Decision-Making and Effective Remedies
Simona Demková, Assistant professor at the Europa Institute of Leiden University, publishes her book ‘Automated Decision-Making and Effective Remedies: The New Dynamics in the Protection of EU Fundamental Rights in the Area of Freedom, Security and Justice’.
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Automated test grading
*Attention: as of September 1, this service will be discontinued.
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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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Francesco WalkerSocial & Behavioural Sciences
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Vertebrate automated screening technology (VAST)
How can you use robots and automatic recognition of microscopic images to test the effect of drugs exceptionally quickly?
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Tessa van BuchemFaculty of Law
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Efficient tuning of automated machine learning pipelines
Automated Machine Learning (AutoML) is widely used to automatically build a suitable practical Machine Learning (ML) model for an arbitrary real-world problem, reducing the effort of practitioners in the ML development cycle for real-world applications. Optimization is a key part of a typical AutoML…
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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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Automated de novo metabolite identification with mass spectrometry and cheminformatics
Promotor: Prof.dr. T. Hankemeier, Co-Promotores: T. Reijmers, L. Coulier
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Automated machine learning for dynamic energy management using time-series data
Time-series forecasting through modelling sequences of temporally dependent observations has many industrial and scientific applications. While machine learning models have been widely used to create time-series forecasting models, creating efficient and performant time-series forecasting models is…
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Automated text analysis of policy-related documentation
Political institution (like the Council of the European Union and the European Parliament) generate large bodies of text. These great amounts of text can impossibly be read by a researcher. Contrary to human researchers, computers are able to read thousands of documents a day. In this research project…
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Towards automated identification of metabolites using mass spectral trees
Promotor: Prof.dr. T. Hankemeier, Co-promotor: Dr. Theo Reijmers
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Smart Courts, Smart Justice? Automation and Digitisation of Courts in China
On Tuesday 3 September 2024 Straton Papagianneas successfully defended a doctoral thesis and graduated.
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Andreas ParaskevaFaculty of Science
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The use of Deep Learning in the automated detection of archaeological objects in remotely sensed data
Generally the data from remote sensing surveys - the scanning of the earth by satellite or aircraft in order to obtain information about it - is screened manually in archaeology. However, constant monitoring of the earth's surface causes a huge influx of data of high complexity and high quality. To…
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Innovative sample preparation and handling strategies for automated and high-throughput metabolomics
Metabolomics has the potential to play a pivotal role in understanding disease onset and progression, and ultimately personalized treatments. One of its major challenges is its large-scale implementation, which is necessary to deal with the high variability of the metabolome. In this work we have developed…
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Limiting Viral Spread: Automated Cyber Operations and the Principles of Distinction and Discrimination in the Grey Zone
Monica Kaminska, Dennis Broeders and Fabio Cristiano have contributed a chapter to the proceedings of the 13th International Conference on Cyber Conflict (CyCon 2021), which gathers 20 articles from the law, technology and strategy domains.
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Tessa Askamp: new project director Taalmuseum
As of February, Pepijn Reeser steps down as the project director of the Taalmuseum (the Language Museum). Exhibition designer and project manager Tessa Askamp takes over his role.
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Melanie Fink Presents on 'Good Administration in the Age of AI' at the European Ombudsman
On 26 June 2025, Melanie Fink delivered a presentation titled 'Good Administration in the Age of AI: Explanation Rights and Human Oversight under EU Law' at the European Ombudsman.
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Complexity, errors, and administrative burdens
The authors of the article expect automation to improve accuracy in less complex programmes but worsens with increased complexity
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Innovative (electro-driven) sample preparation tools for metabolomics study of muscle aging
This thesis focuses on the development of sample-preparation methods for small amounts of samples and applying the developed methods to muscle tissues to investigate the mechanisms involved in sarcopenia.
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Enabling Analytical Technology
Within the MAC our Enabling Analytical Technology team is working to innovate all steps of analytical workflows. This includes developing novel sample preparation modules, creative sample handling methods, automated workflows, and more. Several projects implement the microfluidic principle of segmented…
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Ruben HueleFaculty of Science
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Nusa ZidaricFaculty of Science
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Multitalented psychology students Tessa and Naomi run relay race in Rio
Tessa van Schagen and Naomi Sedney know exactly how to combine their Psychology study with top-level sport. Both students are running in the 4 x 100 metre relay at the Olympic Games. Van Schagen: 'Fellow students think it's great that I'm going to Rio.'
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Impact of automated decision-making on European public law
From 14 to 15 September 2023, Simona Demkova, AI researcher at the Europa Institute, participated in the INDIGO Project Final Conference, where she provided valuable perspectives on the implications of AI for European public law.
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Synthesis of phosphodiester-containing bacterial cell wall components: teichoic acids, capsular polysaccharides and phosphatidyl glycerol analogues
Promotor: G.A. van der Marel, Co-promotor: J.D.C. Codée
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Agnes SchneiderFaculty of Archaeology
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Julia WasalaFaculty of Science
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Abolfazl SajadiFaculty of Science
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Julian SteinkeSocial & Behavioural Sciences
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Simona DemkovaFaculty of Law