MLOps -- Definitions, Tools and Challenges

1 January 2022

Papers citing "MLOps -- Definitions, Tools and Challenges"

22 / 22 papers shown

Title
HarmonE: A Self-Adaptive Approach to Architecting Sustainable MLOps Hiya Bhatt Shaunak Biswas Srinivasan Rakhunathan Karthik Vaidhyanathan AI4CE 7 0 0 19 May 2025
Securing RAG: A Risk Assessment and Mitigation Framework Lukas Ammann Sara Ott Christoph R. Landolt Marco P. Lehmann SILM 36 0 0 13 May 2025
Architecting Digital Twins for Intelligent Transportation Systems Hiya Bhatt Sahil Karthik Vaidhyanathan Rahul Biju Deepak Gangadharan Ramona Trestian Purav Shah AI4CE 66 1 0 24 Feb 2025
Machine Learning Operations: A Mapping Study Abhijit Chakraborty Suddhasvatta Das Kevin Gary 37 0 0 28 Sep 2024
Backward Compatibility in Attributive Explanation and Enhanced Model Training Method Ryuta Matsuno 46 0 0 05 Aug 2024
Automating Code Adaptation for MLOps -- A Benchmarking Study on LLMs Harsh Patel Buvaneswari A. Ramanan Manzoor A. Khan Thomas Williams Brian D. Friedman Lawrence Drabeck ELM 26 0 0 10 May 2024
ADMIn: Attacks on Dataset, Model and Input. A Threat Model for AI Based Software Vimal Kumar Juliette Mayo Khadija Bahiss 31 2 0 15 Jan 2024
Performance of externally validated machine learning models based on histopathology images for the diagnosis, classification, prognosis, or treatment outcome prediction in female breast cancer: A systematic review Ricardo Gonzalez Peyman Nejat Ashirbani Saha Clinton J.V. Campbell Andrew P. Norgan Cynthia Lokker 31 4 0 09 Dec 2023
Seeing the random forest through the decision trees. Supporting learning health systems from histopathology with machine learning models: Challenges and opportunities Ricardo Gonzalez Ashirbani Saha Clinton J.V. Campbell Peyman Nejat Cynthia Lokker Andrew P. Norgan 41 13 0 06 Dec 2023
Extending Variability-Aware Model Selection with Bias Detection in Machine Learning Projects Cristina Tavares Nathalia Nascimento Paulo S. C. Alencar Donald D. Cowan 16 1 0 23 Nov 2023
Good Tools are Half the Work: Tool Usage in Deep Learning Projects Evangelia Panourgia Theodoros Plessas Ilias Balampanis D. Spinellis 22 0 0 29 Oct 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 15 2 0 27 Sep 2023
Towards an MLOps Architecture for XAI in Industrial Applications Leonhard Faubel Thomas Woudsma Leila Methnani Amir Ghorbani Ghezeljhemeidan Fabian Buelow ... Willem D. van Driel Benjamin Kloepper Andreas Theodorou Mohsen Nosratinia Magnus Bång 15 5 0 22 Sep 2023
MLOps: A Review S. Wazir Gautam Siddharth Kashyap P. Saxena 40 66 0 19 Aug 2023
MLOps: A Step Forward to Enterprise Machine Learning Abdullah Ikram VLM 24 6 0 27 May 2023
MLHOps: Machine Learning for Healthcare Operations Kristoffer Larsen Vallijah Subasri A. Krishnan Cláudio Tinoco Mesquita Diana Paez Laleh Seyyed-Kalantari Amalia Peix LM&MA AI4TS VLM 27 2 0 04 May 2023
Machine Learning with Requirements: a Manifesto Eleonora Giunchiglia F. Imrie M. Schaar Thomas Lukasiewicz AI4TS OffRL VLM 40 5 0 07 Apr 2023
Mithridates: Auditing and Boosting Backdoor Resistance of Machine Learning Pipelines Eugene Bagdasaryan Vitaly Shmatikov AAML 24 2 0 09 Feb 2023
A Data Source Dependency Analysis Framework for Large Scale Data Science Projects Laurent Boué Pratap Kunireddy Pavle Subotić 16 0 0 15 Dec 2022
DC-Check: A Data-Centric AI checklist to guide the development of reliable machine learning systems Nabeel Seedat F. Imrie M. Schaar 27 12 0 09 Nov 2022
AutoML to Date and Beyond: Challenges and Opportunities Shubhra (Santu) Karmaker Md. Mahadi Hassan Micah J. Smith Lei Xu Chengxiang Zhai K. Veeramachaneni 76 225 0 21 Oct 2020