Automata Learning
Automata Learning is a computational method that systematically infers the structure of a finite automaton from observed input-output behaviors, distinguishing itself from general machine learning by leveraging formal language theory to ensure the learned model precisely captures the regularities of the target system.
714
Publications
33.5K
Citations
1.3K
Authors
554
Institutions
Publications per year
2017–2026
144
714
Complexity of automaton identification from given data
Eric Gold · Information and Control · 1978 · 770 citations
A fast automaton-based method for detecting anomalous program behaviors
R. Sekar, Mr. Rushant Bendre, Dinakar Dhurjati et al. · 2002 · 561 citations
On the regularization of Zeno hybrid automata
Karl Henrik Johansson, Magnus Egerstedt, John Lygeros et al. · Systems & Control Letters · 1999 · 555 citations · Full text
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554
Amirkabir University of Technology
Tehran, Iran
28 h-index
88 publications
3.1K citations

Carleton University
Ottawa, Canada
19 h-index
43 publications
2.1K citations

Indian Institute of Science Bangalore
Bengaluru, India
17 h-index
39 publications
2.6K citations
Yale University
New Haven, United States
13 h-index
22 publications
2.2K citations
Princeton University
Princeton, United States
13 h-index
27 publications
1.9K citations

Islamic Azad University, Arak
Arak, Iran
12 h-index
13 publications
497 citations
University of Maryland, College Park
College Park, United States
12 h-index
33 publications
2.8K citations

University of Agder
Kristiansand, Norway
11 h-index
30 publications
935 citations
1–8 of 554
30 publications · 2.6K citations
21
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22 publications · 1.4K citations
18
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16 publications · 934 citations
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Repository · 20 publications · 468 citations
13
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13 publications · 349 citations
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