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Papers
2012.03301
Cited By

Deep Transfer Learning for Industrial Automation: A Review and
Discussion of New Techniques for Data-Driven Machine Learning

Deep Transfer Learning for Industrial Automation: A Review and Discussion of New Techniques for Data-Driven Machine Learning

IEEE Industrial Electronics Magazine (IEM), 2020

6 December 2020

Benjamin Maschler

ArXiv (abs)PDF HTML

Papers citing "Deep Transfer Learning for Industrial Automation: A Review and Discussion of New Techniques for Data-Driven Machine Learning"

10 / 10 papers shown

HarmonE: A Self-Adaptive Approach to Architecting Sustainable MLOps

HarmonE: A Self-Adaptive Approach to Architecting Sustainable MLOpsEuropean Conference on Software Architecture (ECSA), 2025

Srinivasan Rakhunathan

Karthik Vaidhyanathan

195

1

0

19 May 2025

Event-Based Crossing Dataset (EBCD)

Event-Based Crossing Dataset (EBCD)

Dhandeep Challagundla

192

0

0

21 Mar 2025

FovEx: Human-Inspired Explanations for Vision Transformers and Convolutional Neural Networks

FovEx: Human-Inspired Explanations for Vision Transformers and Convolutional Neural NetworksInternational Journal of Computer Vision (IJCV), 2024

Mahadev Prasad Panda

Martina G. Vilas

Bjoern M. Eskofier

383

1

0

04 Aug 2024

Towards Artificial General Intelligence (AGI) in the Internet of Things
(IoT): Opportunities and Challenges

Towards Artificial General Intelligence (AGI) in the Internet of Things (IoT): Opportunities and Challenges

...

Changying Li

Tianming Liu

200

36

0

14 Sep 2023

A Comprehensive Survey of Deep Transfer Learning for Anomaly Detection
in Industrial Time Series: Methods, Applications, and Directions

A Comprehensive Survey of Deep Transfer Learning for Anomaly Detection in Industrial Time Series: Methods, Applications, and DirectionsIEEE Access (IEEE Access), 2023

Ahmed Abdulkadir

Paul-Philipp Luley

Matthias Rosenthal

Gerrit A. Schatte

Thilo Stadelmann

279

128

0

11 Jul 2023

Deep representation learning: Fundamentals, Perspectives, Applications,
and Open Challenges

Deep representation learning: Fundamentals, Perspectives, Applications, and Open Challenges

Amirreza Payandeh

Pooya Fayyazsanavi

Somayeh Bakhtiari Ramezani

215

10

0

27 Nov 2022

Enhancing an Intelligent Digital Twin with a Self-organized
Reconfiguration Management based on Adaptive Process Models

Enhancing an Intelligent Digital Twin with a Self-organized Reconfiguration Management based on Adaptive Process Models

Benjamin Lindemann

178

20

0

07 Jul 2021

A Survey on Anomaly Detection for Technical Systems using LSTM Networks

A Survey on Anomaly Detection for Technical Systems using LSTM Networks

Benjamin Lindemann

Benjamin Maschler

190

355

0

28 May 2021

Regularization-based Continual Learning for Anomaly Detection in
Discrete Manufacturing

Regularization-based Continual Learning for Anomaly Detection in Discrete ManufacturingProcedia CIRP (Procedia CIRP), 2021

Benjamin Maschler

217

38

0

02 Jan 2021

Transfer Learning as an Enabler of the Intelligent Digital Twin

Transfer Learning as an Enabler of the Intelligent Digital TwinProcedia CIRP (PC), 2020

Benjamin Maschler

Dominik I. Braun

172

46

0

03 Dec 2020