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2205.02302
Cited By
Machine Learning Operations (MLOps): Overview, Definition, and Architecture
4 May 2022
Dominik Kreuzberger
Niklas Kühl
Sebastian Hirschl
VLM
AI4CE
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Papers citing
"Machine Learning Operations (MLOps): Overview, Definition, and Architecture"
16 / 16 papers shown
Title
Securing RAG: A Risk Assessment and Mitigation Framework
Lukas Ammann
Sara Ott
Christoph R. Landolt
Marco P. Lehmann
SILM
33
0
0
13 May 2025
Model Lake: a New Alternative for Machine Learning Models Management and Governance
Moncef Garouani
Franck Ravat
Nathalie Valles-Parlangeau
37
1
0
27 Mar 2025
On the Workflows and Smells of Leaderboard Operations (LBOps): An Exploratory Study of Foundation Model Leaderboards
Zhimin Zhao
A. A. Bangash
F. Côgo
Bram Adams
Ahmed E. Hassan
59
1
0
04 Jul 2024
Mapping the Potential of Explainable AI for Fairness Along the AI Lifecycle
Luca Deck
Astrid Schomacker
Timo Speith
Jakob Schöffer
Lena Kästner
Niklas Kühl
41
4
0
29 Apr 2024
Model Callers for Transforming Predictive and Generative AI Applications
Mukesh Dalal
26
0
0
17 Apr 2024
Continual Learning: Applications and the Road Forward
Eli Verwimp
Rahaf Aljundi
Shai Ben-David
Matthias Bethge
Andrea Cossu
...
J. Weijer
Bing Liu
Vincenzo Lomonaco
Tinne Tuytelaars
Gido M. van de Ven
CLL
43
44
0
20 Nov 2023
sQUlearn -- A Python Library for Quantum Machine Learning
D. Kreplin
Moritz Willmann
Jan Schnabel
Frederic Rapp
Manuel Hagelüken
M. Roth
GP
30
9
0
15 Nov 2023
biquality-learn: a Python library for Biquality Learning
Pierre Nodet
V. Lemaire
A. Bondu
Antoine Cornuéjols
14
0
0
18 Aug 2023
CausalOps -- Towards an Industrial Lifecycle for Causal Probabilistic Graphical Models
R. Maier
A. Schlattl
Thomas Guess
J. Mottok
AI4CE
29
1
0
02 Aug 2023
Machine Learning-Assisted Pattern Recognition Algorithms for Estimating Ultimate Tensile Strength in Fused Deposition Modeled Polylactic Acid Specimens
Akshansh Mishra
V. Jatti
21
0
0
13 Jul 2023
ML-Based Teaching Systems: A Conceptual Framework
Philipp Spitzer
Niklas Kühl
Daniel Heinz
G. Satzger
33
6
0
12 May 2023
End-User Development for Artificial Intelligence: A Systematic Literature Review
Andrea Esposito
Miriana Calvano
Antonio Curci
Giuseppe Desolda
R. Lanzilotti
Claudia Lorusso
Antonio Piccinno
17
5
0
14 Apr 2023
Machine Learning with Requirements: a Manifesto
Eleonora Giunchiglia
F. Imrie
M. Schaar
Thomas Lukasiewicz
AI4TS
OffRL
VLM
32
5
0
07 Apr 2023
Quality Assurance in MLOps Setting: An Industrial Perspective
Ayan Chatterjee
Bestoun S. Ahmed
Erik Hallin
Anton Engman
20
2
0
23 Nov 2022
Operationalizing Machine Learning: An Interview Study
Shreya Shankar
Rolando Garcia
J. M. Hellerstein
Aditya G. Parameswaran
71
51
0
16 Sep 2022
How to avoid machine learning pitfalls: a guide for academic researchers
M. Lones
VLM
FaML
OnRL
62
77
0
05 Aug 2021
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