Neha Das

13 papers A 1Misc 1Journal 9Unranked 2
YearRankTypeTitle / Venue / Authors
2024 — conf
Framework for Learning a Hand Intent Recognition Model from sEMG for FES-Based control.
BioRob
Neha Das, Satoshi Endo, Hossein Kavianirad, Sandra Hirche
2024 J jnl
Human Digital Twins in Rehabilitation: A Case Study on Exoskeleton and Serious-Game-Based Stroke Rehabilitation Using the ETHICA Methodology.
IEEE Access
Martin Wolfgang Lauer-Schmaltz, Philip J. Cash, John Paulin Hansen, Neha Das
2023 — conf
Assessing Human-Human Kinematics for the Implementation of Robot-Assisted Physical Therapy in Humanoids: A Pilot Study.
ICORR
Simone Nertinger, Neha Das, Satoshi Endo, Abdeldjallil Naceri, Sandra Hirche, Sami Haddadin
2023 J jnl
Multimodal Learning of Keypoint Predictive Models for Visual Object Manipulation.
IEEE Trans. Robotics
Sarah Bechtle, Neha Das, Franziska Meier
2023 J jnl
Online detection of compensatory strategies in human movement with supervised classification: a pilot study.
Frontiers Neurorobotics
Neha Das, Satoshi Endo, Sabrina Patel, Carmen Krewer, Sandra Hirche
2023 J jnl
Time Series Classification for Detecting Parkinson's Disease from Wrist Motions.
CoRR
Cedric Donié, Neha Das, Satoshi Endo, Sandra Hirche
2022 J jnl
Safe Learning-Based Control of Elastic Joint Robots via Control Barrier Functions.
CoRR
Armin Lederer, Azra Begzadic, Neha Das, Sandra Hirche
2020 J jnl
Learning Extended Body Schemas from Visual Keypoints for Object Manipulation.
CoRR
Sarah Bechtle, Neha Das, Franziska Meier
2020 A conf
Learning State-Dependent Losses for Inverse Dynamics Learning.
IROS
Kristen Morse, Neha Das, Yixin Lin, Austin S. Wang, Akshara Rai, Franziska Meier
2020 J jnl
Learning State-Dependent Losses for Inverse Dynamics Learning.
CoRR
Kristen Morse, Neha Das, Yixin Lin, Austin S. Wang, Akshara Rai, Franziska Meier
2020 Misc conf
Model-Based Inverse Reinforcement Learning from Visual Demonstrations.
CoRL
Neha Das, Sarah Bechtle, Todor Davchev, Dinesh Jayaraman, Akshara Rai, Franziska Meier
2020 J jnl
Model-Based Inverse Reinforcement Learning from Visual Demonstrations.
CoRR
Neha Das, Sarah Bechtle, Todor Davchev, Dinesh Jayaraman, Akshara Rai, Franziska Meier
2019 J jnl
Beta DVBF: Learning State-Space Models for Control from High Dimensional Observations.
CoRR
Neha Das, Maximilian Karl, Philip Becker-Ehmck, Patrick van der Smagt
redb/extractors/apk_extractors/__init__.py
← Index redb/extractors/apk_extractors/__init__.py python 
# APK extractors package

from .apk_features import APKFeaturesExtractor
from .apk_manifest import APKManifestExtractor
from .apk_permissions import APKPermissionsExtractor
from .apk_signature import APKSignatureExtractor
from .apk_dex import APKDexExtractor
from .apk_resources import APKResourceExtractor
from .apk_native_libs import APKNativeLibExtractor
from .apk_inconsistency_tests import APKInconsistencyTestsExtractor

__all__ = [
    'APKFeaturesExtractor',
    'APKManifestExtractor',
    'APKPermissionsExtractor',
    'APKSignatureExtractor',
    'APKDexExtractor',
    'APKResourceExtractor',
    'APKNativeLibExtractor',
    'APKInconsistencyTestsExtractor',
]