Concepedia

Finite State Machine Extraction

Finite State Machine Extraction is a computational method that identifies and constructs a finite state machine model from observed system behaviors or execution traces, distinguishing itself from other modeling techniques by inferring states and transitions algorithmically from input-output sequences or behavioral data.

31

Publications

1.6K

Citations

84

Authors

46

Institutions

Publications per year

2017–2026

6

Variants

Fsm Extraction

Parents

Publications

31

Automatic extraction of object-oriented component interfaces

John Whaley, Michael C. Martin, Monica S. Lam · ACM SIGSOFT Software Engineering Notes · 2002 · 259 citations

, , +13

Road network extraction: a neural-dynamic framework based on deep learning and a finite state machine

Jun Wang, Jingwei Song, Mingquan Chen et al. · International Journal of Remote Sensing · 2015 · 182 citations

, , +16

The Dynamics of Discrete-Time Computation, with Application to Recurrent Neural Networks and Finite State Machine Extraction

M. Casey · Neural Computation · 1996 · 173 citations

, , +16

Automatic extraction of object-oriented component interfaces

John Whaley, Michael C. Martin, Monica S. Lam · 2002 · 144 citations

, , +13

Simple Recurrent Networks Learn Context-Free and Context-Sensitive Languages by Counting

Paul Rodriguez · Neural Computation · 2001 · 85 citations

, , +16

1–5 of 31

Authors

84

  1. JW
    John Whaley

    Stanford University, United States

    3 publications · 449 citations

    3

    h-index

  2. MC
    Michael C. Martin

    Stanford University, United States

    3 publications · 449 citations

    3

    h-index

  3. MS
    Monica S. Lam

    Stanford University, United States

    3 publications · 449 citations

    3

    h-index

  4. IH
    Ichiro Hasuo

    The University of Tokyo, Japan

    2 publications · 41 citations

    2

    h-index

  5. CN
    Cristina Nita-Rotaru

    Purdue University West Lafayette, United States

    2 publications · 77 citations

    2

    h-index

1–5 of 84

Institutions

46

  1. Stanford University

    Stanford, United States

    3 h-index

    9 publications

    1.3K citations

  2. National Institute of Informatics

    Tokyo, Japan

    2 h-index

    8 publications

    164 citations

  3. University of California San Diego

    San Diego, United States

    2 h-index

    2 publications

    258 citations

  4. Northeastern University

    Boston, United States

    2 h-index

    4 publications

    173 citations

  5. Austrian Research Institute for Artificial Intelligence

    Vienna, Austria

    1 h-index

    1 publications

    34 citations

  6. IBM (United States)

    Armonk, United States

    1 h-index

    1 publications

    13 citations

  7. Tel Aviv University

    Tel Aviv, Israel

    1 h-index

    3 publications

    72 citations

  8. Instituto de Salud Carlos III

    Madrid, Spain

    1 h-index

    3 publications

    30 citations

1–8 of 46

Venues

  1. Neural Computation

    4 publications · 280 citations

    4

    h-index

  2. IEEE Transactions on Neural Networks

    2 publications · 54 citations

    2

    h-index

  3. ACM SIGSOFT Software Engineering Notes

    SEN · 2 publications · 305 citations

    2

    h-index

  4. IEEE Design & Test of Computers

    1 publications · 13 citations

    1

    h-index

  5. arXiv (Cornell University)

    Repository · 1 publications · 30 citations

    1

    h-index

1–5