Naoki Kawashima

15 papers Journal 13Unranked 2
YearRankTypeTitle / Venue / Authors
2025 J jnl
Plastic tensor networks for interpretable generative modeling.
CoRR
Katsuya O. Akamatsu, Kenji Harada, Tsuyoshi Okubo, Naoki Kawashima
2025 J jnl
Project For Advancement of Software Usability in Materials Science.
CoRR
Kazuyoshi Yoshimi, Yuichi Motoyama, Tatsumi Aoyama, Mitsuaki Kawamura, Naoki Kawashima
2025 J jnl
TeNeS-v2: Enhancement for real-time and finite temperature simulations of quantum many-body systems.
Comput. Phys. Commun.
Yuichi Motoyama, Tsuyoshi Okubo, Kazuyoshi Yoshimi, Satoshi Morita, Tatsumi Aoyama, Takeo Kato, Naoki Kawashima
2025 J jnl
Tensor tree learns hidden relational structures in data to construct generative models.
Mach. Learn. Sci. Technol.
Kenji Harada, Tsuyoshi Okubo, Naoki Kawashima
2024 J jnl
Tensor tree learns hidden relational structures in data to construct generative models.
CoRR
Kenji Harada, Tsuyoshi Okubo, Naoki Kawashima
2024 J jnl
Update of HΦ: Newly added functions and methods in versions 2 and 3.
Comput. Phys. Commun.
Kota Ido, Mitsuaki Kawamura, Yuichi Motoyama, Kazuyoshi Yoshimi, Youhei Yamaji, Synge Todo, Naoki Kawashima, Takahiro Misawa
2022 J jnl
TeNeS: Tensor network solver for quantum lattice systems.
Comput. Phys. Commun.
Yuichi Motoyama, Tsuyoshi Okubo, Kazuyoshi Yoshimi, Satoshi Morita, Takeo Kato, Naoki Kawashima
2021 J jnl
DSQSS: Discrete Space Quantum Systems Solver.
Comput. Phys. Commun.
Yuichi Motoyama, Kazuyoshi Yoshimi, Akiko Masaki-Kato, Takeo Kato, Naoki Kawashima
2021 J jnl
Kω - Open-source library for the shifted Krylov subspace method of the form (zI-H)x=b.
Comput. Phys. Commun.
Takeo Hoshi, Mitsuaki Kawamura, Kazuyoshi Yoshimi, Yuichi Motoyama, Takahiro Misawa, Youhei Yamaji, Synge Todo, Naoki Kawashima, Tomohiro Sogabe
2020 J jnl
K$ω$ - Open-source library for the shifted Krylov subspace method.
CoRR
Takeo Hoshi, Mitsuaki Kawamura, Kazuyoshi Yoshimi, Yuichi Motoyama, Takahiro Misawa, Youhei Yamaji, Synge Todo, Naoki Kawashima, Tomohiro Sogabe
2019 J jnl
Calculation of higher-order moments by higher-order tensor renormalization group.
Comput. Phys. Commun.
Satoshi Morita, Naoki Kawashima
2018 — conf
A multi-year analysis of students' build errors in agile software development educational projects.
ICSE (Companion Volume)
Erina Makihara, Hiroshi Igaki, Norihiro Yoshida, Kenji Fujiwara, Naoki Kawashima, Hajimu Iida
2017 J jnl
Quantum lattice model solver HΦ.
Comput. Phys. Commun.
Mitsuaki Kawamura, Kazuyoshi Yoshimi, Takahiro Misawa, Youhei Yamaji, Synge Todo, Naoki Kawashima
2015 J jnl
Fault-Prone Module Prediction Approaches Using Identifiers in Source Code.
Int. J. Softw. Innov.
Osamu Mizuno, Naoki Kawashima, Kimiaki Kawamoto
2014 — conf
Predicting Fault-Prone Modules by Word Occurrence in Identifiers.
Software Engineering Research, Management and Applications
Naoki Kawashima, Osamu Mizuno
redb/extractors/macho_extractors/__init__.py
← Index redb/extractors/macho_extractors/__init__.py python 
# MachO extractors package

from .macho_features import MachOFeaturesExtractor
from .macho_segments import MachOSegmentExtractor
from .macho_imports import MachOImportExtractor
from .macho_exports import MachOExportExtractor
from .macho_dylibs import MachODylibExtractor
from .macho_signature import MachOSignatureExtractor
from .macho_similarity_hashes import MachOSimilarityHashExtractor
# MachOUniversalExtractor is deprecated - FAT binary relationships are now
# tracked via parent_sha256 column in redb_basic_properties
# from .macho_universal import MachOUniversalExtractor

__all__ = [
    'MachOFeaturesExtractor',
    'MachOSegmentExtractor',
    'MachOImportExtractor',
    'MachOExportExtractor',
    'MachODylibExtractor',
    'MachOSignatureExtractor',
    'MachOSimilarityHashExtractor',
    # 'MachOUniversalExtractor',  # Deprecated
]