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1,473 search results for “machine learning” in the Public website

• 
  Rayyan Toutounji Researcher

  Faculteit der Sociale Wetenschappen

  r.toutounji@fsw.leidenuniv.nl | +31 71 527 2727

• 
  Diego Barbosa Arize Santos Ict developer

  Faculteit der Sociale Wetenschappen

  d.barbosa.arize.santos@fsw.leidenuniv.nl | +31 71 527 2727

• Numerical exploration of statistical physics Research output

  In this thesis, we examine various systems through the lens of several numerical methods.

• A document classifier for medicinal chemistry publications trained on the ChEMBL corpus Research output

  Source: J Cheminform, Volume 6, Issue 1 (2014)

• 
  Mathieu Cherpitel PhD candidate

  Science

  m.j.l.cherpitel@liacs.leidenuniv.nl | 071 5272727

• Model-assisted robust optimization for continuous black-box problems Research output

  Uncertainty and noise are frequently-encountered obstacles in real-world applications of numerical optimization. The practice of optimization that deals with uncertainties and noise is commonly referred to as robust optimization.

• Data-driven Predictive Maintenance and Time-Series Applications Research output

  Predictive maintenance (PdM) is a maintenance policy that uses the past, current, and prognosticated health condition of an asset to predict when timely maintenance should occur.

• Spectral imaging and tomographic reconstruction methods for industrial applications Research output

  Radiography is an important technique to inspect objects, with applications in airports and hospitals. X-ray imaging is also essential in industry, for instance in food safety checks for the presence of foreign objects.

• 
  Fons Verbeek Professor of Computational Bio-imaging

  Science

  f.j.verbeek@liacs.leidenuniv.nl | +31 71 527 5773

• 
  Gerard van Westen Professor Artificial Intelligence & Medicinal Chemistry

  Science

  gerard@lacdr.leidenuniv.nl | +31 71 527 3511

• Learning from small samples Research output

  Learning from small data sets in machine learning is a crucial challenge, especially when dealing with data imbalances and anomaly detection. This thesis delves into the challenges and methodologies of learning from small datasets in machine learning, with a particular focus on addressing data imbalances…

• Self-learning machines for better understanding of the universe News - 13 June 2019

  Bright explosions appear all over the radio and gravitational-wave sky. This dynamic side of the universe which has just been discovered, can be mapped by self-learning machines. The National Science Agenda granted 5 million euro’s to CORTEX, the Center for Optimal, Real-Time Machine Studies of the…

• Methods and Tools for Mining Multivariate Time Series Research output

  Mining time series is a machine learning subfield that focuses on a particular data structure, where variables are measured over (short or long) periods of time.

• Robust rules for prediction and description. Research output

  In this work, we attempt to answer the question:

• 
  Matthijs van Leeuwen Associate professor/Director of Education

  Science

  m.van.leeuwen@liacs.leidenuniv.nl | +31 71 527 7048

• 
  Evert van Nieuwenburg Assistant Professor

  Science

  e.p.l.van.nieuwenburg@liacs.leidenuniv.nl | +31 71 527 5523

• 
  Vincent Croft- Postdoc

  Science

  v.a.croft@liacs.leidenuniv.nl | +31 71 527 4799

• Grip on software: understanding development progress of SCRUM sprints and backlogs Research output

  Software development is a complex process. It is important that software products become stable and maintainable assets.

• 
  Chen Li Guest researcher

  Science

  c.li@cml.leidenuniv.nl | 071 5272727

• Using cryo-EM methods to uncover structure and function of bacteriophages Research output

  Bacteriophages, or phages for short, are the most abundant biological entity in nature. They shape bacterial communities and are a major driving force in bacterial evolution.

• Non-food vending machine Lecture Hall

  Lecture Hall, Einsteinweg 57, 2333 CC, Leiden

• The holographic glass bead game: from superconductivity to time machines Research output

  Promotores: Prof.dr. J. Zaanen & Prof.dr. K.E. Schalm

• Automated de novo metabolite identification with mass spectrometry and cheminformatics Research output

  Promotor: Prof.dr. T. Hankemeier, Co-Promotores: T. Reijmers, L. Coulier

• Non-food vending machine Huygens/Oort

  Huygens, Niels Bohrweg 2, 2333 CA, Leiden

• Non-food vending machine Plexus

  Plexus Student Centre, Kaiserstraat 25, 2311 GN, Leiden

• Non-food vending machine Snellius

  Snellius, Niels Bohrweg 1, 2333 CA, Leiden

• Non-food vending machine Schouwburgstraat

  Schouwburgstraat, Schouwburgstraat 2, 2511 VA, The Hague

• Non-food vending machine University Library

  University Library, Witte Singel 27, 2311 BG, Leiden

• Non-food vending machine Van Steenis

  Van Steenis, Einsteinweg 2, 2333 CC, Leiden

• Non-food vending machine KOG

  Kamerlingh Onnes Building, Steenschuur 25, 2311 ES, Leiden

• Quantum machine learning Event - 7 December 2023

  PhD defence

• Non-food vending machine Wijnhaven

  Wijnhaven, Turfmarkt 99, 2511 DP, The Hague

• Non-food vending machine Lipsius

  Lipsius, Cleveringaplaats 1, 2311 BD, Leiden

• 
  Marjolein Fokkema Associate professor

  Faculteit der Sociale Wetenschappen

  m.fokkema@fsw.leidenuniv.nl | +31 71 527 7996

• 
  Vasilii Bokov PhD candidate

  Science

  v.bokov@liacs.leidenuniv.nl | +31 71 527 2727

• 
  Alina Karakanta Assistant professor

  Faculty of Humanities

  a.karakanta@hum.leidenuniv.nl | +31 71 527 2978

• 
  Felix Frohnert PhD candidate

  Science

  f.frohnert@liacs.leidenuniv.nl | +31 71 527 2727

• 
  Roozbeh Siyadatzadeh PhD candidate

  Science

  s.r.siyadatzadeh@liacs.leidenuniv.nl | +31 71 527 4799

• 
  Hongchang Shan PhD candidate / guest

  Science

  h.shan@liacs.leidenuniv.nl | +31 71 527 7491

• 
  Julian Karch Assistant professor

  Faculteit der Sociale Wetenschappen

  j.d.karch@fsw.leidenuniv.nl | +31 71 527 3493

• 
  Ruchella Kock PhD

  Faculteit der Sociale Wetenschappen

  r.m.d.kock@fsw.leidenuniv.nl | +31 71 527 2727

• 
  Mert Yazan PhD candidate / self funded

  Science

  m.yazan@liacs.leidenuniv.nl | 071 5272727

• 
  Matt Young Assistant professor

  Faculty Governance and Global Affairs

  m.m.young@fgga.leidenuniv.nl | +31 70 800 9400

• 
  Jan van Rijn Assistant professor

  Science

  j.n.van.rijn@liacs.leidenuniv.nl | +31 71 527 2727

• 
  Aske Plaat Professor of Data science

  Science

  a.plaat@liacs.leidenuniv.nl | +31 71 527 7065

• Filter-based reconstruction methods for tomography Research output

  Promotor: K.J. Batenburg

• Novel analytical approaches to characterize particles in biopharmaceuticals Research output

  Particles are omnipresent in biopharmaceutical products. In protein-based therapeutics such particles are generally associated with impurities, either derived from the drug product itself (e.g. protein aggregates), or from extrinsic contaminations (e.g. cellulose fibers).

• 
  Alex Brandsen Postdoc

  Faculteit Archeologie

  a.brandsen@arch.leidenuniv.nl | +31 71 527 2727

• 
  Tom Wilderjans Associate professor

  Faculteit der Sociale Wetenschappen

  t.f.wilderjans@fsw.leidenuniv.nl | +31 71 527 6058

• 
  Bertram de Boer PhD candidate / guest

  Science

  b.f.de.boer@cml.leidenuniv.nl | +31 71 527 2727