Self-improvement for Computerized Adaptive Testing

Research output: Contributions to collected editions/worksArticle in conference proceedingsResearchpeer-review

Standard

Self-improvement for Computerized Adaptive Testing. / Rudolph, Yannick; Neubauer, Kai; Brefeld, Ulf.
Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2025, Porto, Portugal, September 15–19, 2025, Proceedings. ed. / Rita P. Ribeiro; Bernhard Pfahringer; Nathalie Japkowicz; Pedro Larrañaga; Alípio M. Jorge; Carlos Soares; Pedro H. Abreu; João Gama. Vol. 2 2025. p. 70-86 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence); Vol. 16014).

Research output: Contributions to collected editions/worksArticle in conference proceedingsResearchpeer-review

Harvard

Rudolph, Y, Neubauer, K & Brefeld, U 2025, Self-improvement for Computerized Adaptive Testing. in RP Ribeiro, B Pfahringer, N Japkowicz, P Larrañaga, AM Jorge, C Soares, PH Abreu & J Gama (eds), Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2025, Porto, Portugal, September 15–19, 2025, Proceedings. vol. 2, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence), vol. 16014, pp. 70-86.

APA

Rudolph, Y., Neubauer, K., & Brefeld, U. (2025). Self-improvement for Computerized Adaptive Testing. In R. P. Ribeiro, B. Pfahringer, N. Japkowicz, P. Larrañaga, A. M. Jorge, C. Soares, P. H. Abreu, & J. Gama (Eds.), Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2025, Porto, Portugal, September 15–19, 2025, Proceedings (Vol. 2, pp. 70-86). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence); Vol. 16014).

Vancouver

Rudolph Y, Neubauer K, Brefeld U. Self-improvement for Computerized Adaptive Testing. In Ribeiro RP, Pfahringer B, Japkowicz N, Larrañaga P, Jorge AM, Soares C, Abreu PH, Gama J, editors, Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2025, Porto, Portugal, September 15–19, 2025, Proceedings. Vol. 2. 2025. p. 70-86. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence)).

Bibtex

@inbook{7884b1b9ba284b9b9db84af25174e91a,
title = "Self-improvement for Computerized Adaptive Testing",
author = "Yannick Rudolph and Kai Neubauer and Ulf Brefeld",
year = "2025",
month = sep,
day = "23",
language = "English",
volume = "2",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence)",
publisher = "Springer Nature",
pages = "70--86",
editor = "Ribeiro, {Rita P.} and Bernhard Pfahringer and Nathalie Japkowicz and Pedro Larra{\~n}aga and Jorge, {Al{\'i}pio M.} and Carlos Soares and Abreu, { Pedro H.} and Gama, { Jo{\~a}o}",
booktitle = "Machine Learning and Knowledge Discovery in Databases",

}

RIS

TY - CHAP

T1 - Self-improvement for Computerized Adaptive Testing

AU - Rudolph, Yannick

AU - Neubauer, Kai

AU - Brefeld, Ulf

PY - 2025/9/23

Y1 - 2025/9/23

M3 - Article in conference proceedings

VL - 2

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence)

SP - 70

EP - 86

BT - Machine Learning and Knowledge Discovery in Databases

A2 - Ribeiro, Rita P.

A2 - Pfahringer, Bernhard

A2 - Japkowicz, Nathalie

A2 - Larrañaga, Pedro

A2 - Jorge, Alípio M.

A2 - Soares, Carlos

A2 - Abreu, Pedro H.

A2 - Gama, João

ER -