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2205.02302
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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"
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Title
Securing RAG: A Risk Assessment and Mitigation Framework
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Christoph R. Landolt
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Model Lake: a New Alternative for Machine Learning Models Management and Governance
Moncef Garouani
Franck Ravat
Nathalie Valles-Parlangeau
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A Guide to Failure in Machine Learning: Reliability and Robustness from Foundations to Practice
Eric Heim
Oren Wright
David Shriver
OOD
FaML
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01 Mar 2025
ASTD Patterns for Integrated Continuous Anomaly Detection In Data Logs
Chaymae El Jabri
Marc Frappier
Pierre Martin Tardif
AI4TS
21
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10 Nov 2024
Towards certification: A complete statistical validation pipeline for supervised learning in industry
Lucas Lacasa
Abel Pardo
Pablo Arbelo
Miguel Sánchez
Pablo Yeste
...
Alejandro Martínez-Cava
G. Rubio
Ignacio Gómez
E. Valero
Javier de Vicente
AI4CE
42
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04 Nov 2024
Assessing the Auditability of AI-integrating Systems: A Framework and Learning Analytics Case Study
Linda Fernsel
Yannick Kalff
Katharina Simbeck
36
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29 Oct 2024
Towards Trustworthy Machine Learning in Production: An Overview of the Robustness in MLOps Approach
Firas Bayram
Bestoun S. Ahmed
OOD
34
1
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28 Oct 2024
Adapting MLOps for Diverse In-Network Intelligence in 6G Era: Challenges and Solutions
Peizheng Li
Ioannis Mavromatis
T. Farnham
Adnan Aijaz
Aftab Khan
AI4CE
14
1
0
24 Oct 2024
Gradient-Free Neural Network Training on the Edge
Dotan Di Castro
O. Joglekar
Shir Kozlovsky
Vladimir Tchuiev
Michal Moshkovitz
MQ
14
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0
13 Oct 2024
Prediction by Machine Learning Analysis of Genomic Data Phenotypic Frost Tolerance in Perccottus glenii
Lilin Fan
Xuqing Chai
Zhixiong Tian
Yihang Qiao
Zhen Wang
Yifan Zhang
21
1
0
11 Oct 2024
GaNDLF-Synth: A Framework to Democratize Generative AI for (Bio)Medical Imaging
Sarthak Pati
Szymon Mazurek
Spyridon Bakas
MedIm
26
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0
30 Sep 2024
Machine Learning Operations: A Mapping Study
Abhijit Chakraborty
Suddhasvatta Das
Kevin Gary
37
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28 Sep 2024
OML-AD: Online Machine Learning for Anomaly Detection in Time Series Data
Sebastian Wette
Florian Heinrichs
AI4TS
25
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15 Sep 2024
KModels: Unlocking AI for Business Applications
Roy Abitbol
Eyal Cohen
Muhammad Kanaan
Bhavna Agrawal
Yingjie Li
Anuradha Bhamidipaty
Erez Bilgory
20
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08 Sep 2024
Fishers Harvest Parallel Unlearning in Inherited Model Networks
Xiao Liu
Mingyuan Li
Xu Wang
Guangsheng Yu
Wei Ni
Lixiang Li
Haipeng Peng
Renping Liu
MoMe
MU
AI4CE
43
2
0
16 Aug 2024
Adaptive Data Quality Scoring Operations Framework using Drift-Aware Mechanism for Industrial Applications
Firas Bayram
Bestoun S. Ahmed
Erik Hallin
28
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0
13 Aug 2024
Backward Compatibility in Attributive Explanation and Enhanced Model Training Method
Ryuta Matsuno
41
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05 Aug 2024
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
62
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04 Jul 2024
Deriva-ML: A Continuous FAIRness Approach to Reproducible Machine Learning Models
Zhiwei Li
Carl Kesselman
Mike DÁrch
Michael Pazzani
B. Y. Xu
SyDa
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24
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0
27 Jun 2024
RadEx: A Framework for Structured Information Extraction from Radiology Reports based on Large Language Models
Daniel Reichenpfader
Jonas Knupp
André Sander
Kerstin Denecke
MedIm
18
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14 Jun 2024
Continuous fake media detection: adapting deepfake detectors to new generative techniques
Francesco Tassone
Luca Maiano
Irene Amerini
43
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Survey for Landing Generative AI in Social and E-commerce Recsys -- the Industry Perspectives
Da Xu
Danqing Zhang
Guangyu Yang
Bo Yang
Shuyuan Xu
Lingling Zheng
Cindy Liang
32
2
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10 Jun 2024
Automating the Training and Deployment of Models in MLOps by Integrating Systems with Machine Learning
Penghao Liang
Bo Song
Xiaoan Zhan
Zhou Chen
Jiaqiang Yuan
14
17
0
16 May 2024
DeepFMEA -- A Scalable Framework Harmonizing Process Expertise and Data-Driven PHM
Christoph Netsch
Till Schöpe
Benedikt Schindele
Joyam Jayakumar
39
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0
13 May 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
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0
29 Apr 2024
A Framework to Model ML Engineering Processes
Sergio Morales
Robert Clarisó
Jordi Cabot
23
1
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29 Apr 2024
Quantum Cloud Computing: A Review, Open Problems, and Future Directions
H. T. Nguyen
P. Krishnan
Dilip Krishnaswamy
Muhammad Usman
Rajkumar Buyya
46
15
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17 Apr 2024
Model Callers for Transforming Predictive and Generative AI Applications
Mukesh Dalal
26
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0
17 Apr 2024
Is Your AI Truly Yours? Leveraging Blockchain for Copyrights, Provenance, and Lineage
Yilin Sai
Qin Wang
Guangsheng Yu
H.M.N. Dilum Bandara
Shiping Chen
46
1
0
09 Apr 2024
A Cyber Manufacturing IoT System for Adaptive Machine Learning Model Deployment by Interactive Causality Enabled Self-Labeling
Yutian Ren
Yuqi He
Xuyin Zhang
A. Yen
G. P. Li
40
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0
09 Apr 2024
XAIport: A Service Framework for the Early Adoption of XAI in AI Model Development
Zerui Wang
Yan Liu
Abishek Arumugam Thiruselvi
A. Hamou-Lhadj
21
2
0
25 Mar 2024
ADMIn: Attacks on Dataset, Model and Input. A Threat Model for AI Based Software
Vimal Kumar
Juliette Mayo
Khadija Bahiss
26
2
0
15 Jan 2024
Towards Message Brokers for Generative AI: Survey, Challenges, and Opportunities
Alaa Saleh
Roberto Morabito
Sasu Tarkoma
Susanna Pirttikangas
Lauri Lovén
58
3
0
22 Dec 2023
Speculative Exploration on the Concept of Artificial Agents Conducting Autonomous Research
Shiro Takagi
45
0
0
06 Dec 2023
Moderating Model Marketplaces: Platform Governance Puzzles for AI Intermediaries
Robert Gorwa
Michael Veale
11
10
0
21 Nov 2023
Continual Learning: Applications and the Road Forward
Eli Verwimp
Rahaf Aljundi
Shai Ben-David
Matthias Bethge
Andrea Cossu
...
Joost van de Weijer
Bing Liu
Vincenzo Lomonaco
Tinne Tuytelaars
Gido M. van de Ven
CLL
43
45
0
20 Nov 2023
Efficient Neural Networks for Tiny Machine Learning: A Comprehensive Review
M. Lê
Pierre Wolinski
Julyan Arbel
34
8
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
35
10
0
15 Nov 2023
The Flux Operator
Vanessa Sochat
Aldo Culquicondor
Antonio Ojea
Daniel Milroy
14
3
0
29 Sep 2023
OceanBench: The Sea Surface Height Edition
J. E. Johnson
Q. Febvre
Anastasia Gorbunova
Sammy Metref
M. Ballarotta
Julien Le Sommer
Ronan Fablet
38
2
0
27 Sep 2023
MLOps for Scarce Image Data: A Use Case in Microscopic Image Analysis
Angelo Jovin Yamachui Sitcheu
Nils Friederich
Simon Baeuerle
Oliver Neumann
Markus Reischl
Ralf Mikut
13
2
0
27 Sep 2023
Towards Data-centric Graph Machine Learning: Review and Outlook
Xin Zheng
Yixin Liu
Zhifeng Bao
Meng Fang
Xia Hu
Alan Wee-Chung Liew
Shirui Pan
GNN
AI4CE
34
19
0
20 Sep 2023
Biquality Learning: a Framework to Design Algorithms Dealing with Closed-Set Distribution Shifts
Pierre Nodet
V. Lemaire
A. Bondu
Antoine Cornuéjols
OOD
39
0
0
29 Aug 2023
On-Premise AIOps Infrastructure for a Software Editor SME: An Experience Report
Anes Bendimerad
Youcef Remil
Romain Mathonat
Mehdi Kaytoue
16
4
0
22 Aug 2023
MLOps: A Review
S. Wazir
Gautam Siddharth Kashyap
P. Saxena
32
66
0
19 Aug 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
A Comprehensive Study of Groundbreaking Machine Learning Research: Analyzing highly cited and impactful publications across six decades
Ezugwu E. Absalom
Japie Greeff
Y. Ho
26
3
0
01 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
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