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researcher

Thomas Bäck

Leiden University

62 papers hereh-index 5725.2k citations395 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author25
  • last author35

Across the 60 of 62 papers where every author was matched, so the position is known.

fields
  • cs.NE28
  • cs.LG12
  • quant-ph6
  • cs.CV5
  • cs.AI4
  • math.OC2
affiliations
  • Leiden University
  • Leiden Institute of Advanced Computer Science
HomepageORCID 0000-0001-6768-1478
same name
  • Thomas Bäck — 23 papers, h 6
  • Thomas Bäck — 7 papers, h 5
  • Thomas Bäck — 1 paper, h 3
  • Thomas Bäck — 1 paper, h 3
  • Thomas Bäck — 1 paper, h 2

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20132026
most citedQuantum Annealing for Industry Applications: Introduction and Review

347 citations · 813 across the 58 of their papers we have counts for

collaborators
Showing cs.AIShow all

4 papers · 1 filter

cs.AI2020★ 3 cited

On Initializing Airline Crew Pairing Optimization for Large-scale Complex Flight Networks

Divyam Aggarwal, Dhish Kumar Saxena, Thomas Bäck +1

Crew pairing optimization (CPO) is critically important for any airline, since its crew operating costs are second-largest, next to the fuel-cost. CPO aims at generating a set of f…

cs.AI2017★ 17 cited

Artificial Intelligence and Data Science in the Automotive Industry

Martin Hofmann, Florian Neukart, Thomas Bäck

Data science and machine learning are the key technologies when it comes to the processes and products with automatic learning and optimization to be used in the automotive industr…

cs.AI2017

A multi-method simulation of a high-frequency bus line using AnyLogic

Thierry van der Spek

In this work a mixed agent-based and discrete event simulation model is developed for a high frequency bus route in the Netherlands. With this model, different passenger growth sce…

cs.AI2016

Local Subspace-Based Outlier Detection using Global Neighbourhoods

Bas van Stein, Matthijs van Leeuwen, Thomas Bäck

Outlier detection in high-dimensional data is a challenging yet important task, as it has applications in, e.g., fraud detection and quality control. State-of-the-art density-based…

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