• Search: "Machine learning workflow"

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1

Automating MLOps Pipelines with GitHub Actions and Azure: A Case Study on Diabetes Prediction
Chikkala, Lokesh Kumar ; Pathi, Nishanth Kumar ; Abhi, Shinu
2025 International Conference on Emerging Technologies in Computing and Communication (ETCC) Emerging Technologies in Computing and Communication (ETCC), 2025 International Conference on. :1-6 Jun, 2025

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2

Couler: Unified Machine Learning Workflow Optimization in Cloud
Wang, Xiaoda ; Tang, Yuan ; Guo, Tengda ; et al.
2024 IEEE 40th International Conference on Data Engineering (ICDE) ICDE Data Engineering (ICDE), 2024 IEEE 40th International Conference on. :5224-5237 May, 2024

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3

Machine Learning Workflow Recommendations Based on Hierarchical Topics
Song, Xiaoping ; Rao, Wenbi ; Liu, Xing
2024 4th International Conference on Computer, Control and Robotics (ICCCR) Computer, Control and Robotics (ICCCR), 2024 4th International Conference on. :338-342 Apr, 2024

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4

Scanflow-K8s: Agent-based Framework for Autonomic Management and Supervision of ML Workflows in Kubernetes Clusters
Liu, Peini ; Bravo-Rocca, Gusseppe ; Guitart, Jordi ; et al.
2022 22nd IEEE International Symposium on Cluster, Cloud and Internet Computing (CCGrid) CCGRID Cluster, Cloud and Internet Computing (CCGrid), 2022 22nd IEEE International Symposium on. :376-385 May, 2022

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5

Developing tunable machine learning workflow for traffic analysis in SDN
Samaan Sama Salam ; Jeiad Hassan Awheed
Serbian Journal of Electrical Engineering, Vol 22, Iss 2, Pp 183-199 (2025)

machine learning pipelin... machine learning workflo... sdn spark traffic analysis Electrical engineering.... …
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6

Introducing Data-Driven Materials Informatics into Undergraduate Courses through a Polymer Science Workshop
Mona Amrihesari ; Blair Brettmann

Biochemistry Science Policy Plant Biology Space Science Biological Sciences not... Chemical Sciences not el... …
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7

A comprehensive review of cyberbullying-related content classification in online social media
Teng, Teoh Hwai ; Varathan, Kasturi Dewi ; Crestani, Fabio
In Expert Systems With Applications 15 June 2024 244

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8

Fundamental Components and Principles of Supervised Machine Learning Workflows with Numerical and Categorical Data
Styliani I. Kampezidou ; Archana Tikayat Ray ; Anirudh Prabhakara Bhat ; et al.
Eng, Vol 5, Iss 1, Pp 384-416 (2024)

machine learning workflo... supervised learning numerical data categorical data data engineering extraction, loading, tra... …
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9

ML4IoT: A Framework to Orchestrate Machine Learning Workflows on Internet of Things Data
Alves, J.M. ; Honorio, L.M. ; Capretz, M.A.M.
IEEE Access Access, IEEE. 7:152953-152967 2019

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10

Detailed Implementation of a Reproducible Machine Learning-Enabled Workflow
Kenneth E. Schackart III ; Heidi J. Imker ; Charles E. Cook
Data Science Journal, Vol 23, Pp 23-23 (2024)

computational reproducib... open science research software fair data machine learning workflo... biodata resource invento... …
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11

Detailed Implementation of a Reproducible Machine Learning-Enabled Workflow
Schackart III, Kenneth E. ; orcid:0000-0002-1658- ; Imker, Heidi J. ; et al.

computational reproducib... FAIR data open science research software Python machine learning workflo... …
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12

Scanflow: an end-to-end agent-based autonomic ML workflow manager for clusters
Liu, Peini ; Bravo Rocca, Gusseppe Jesus ; Guitart Fernández, Jordi ; et al.

Àrees temàtiques de la U... Machine learning Multiagent systems Scanflow Machine learning workflo... Autonomic …
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13

Machine Learning Operations (MLOps) and DevOps Integration with Artificial Intelligence: Techniques for Automated Model Deployment and Management
Tatineni, Sumanth ; Chinamanagonda, Sandeep
Journal of Artificial Intelligence Research; Vol. 2 No. 1 (2022): Journal of Artificial Intelligence Research; 47-81 ; 2583-7435

Machine Learning Operati... DevOps Artificial Intelligence... Automated Model Deployme... Version Control Model Lifecycle Manageme... …
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14

GradeML:Towards holistic performance analysis for machine learning workflows
Hegeman, Tim ; Jansen, Matthijs ; Iosup, Alexandru ; et al.
Hegeman, T, Jansen, M, Iosup, A & Trivedi, A 2021, GradeML : Towards holistic performance analysis for machine learning workflows. in ICPE 2021 : Companion of the ACM/SPEC International Conference on Performance Engineering. Association for Computing Machinery, Inc, pp. 57-63, 2021 ACM/SPEC International Conference on Performance Engineering, ICPE 2021, Virtual, Online, France, 19/04/21. https://doi.org/10.1145/3447545.3451185

Data gathering GradeML Machine learning workflo... MLDevOps Modeling Performance analysis …
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15

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16

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17

Data-Driven Multi-Objective Optimization Tactics for Catalytic Asymmetric Reactions Using Bisphosphine Ligands
Jordan J. Dotson (9017687) ; Lucy van Dijk (14305678) ; Jacob C. Timmerman (5412011) ; et al.

Biophysics Biochemistry Genetics Molecular Biology Biotechnology Immunology …
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18

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19

Scanflow-K8s: agent-based framework for autonomic management and supervision of ML workflows in Kubernetes clusters
Universitat Politècnica de Catalunya. Doctorat en Arquitectura de Computadors ; Universitat Politècnica de Catalunya. Departament d'Arquitectura de Computadors ; Barcelona Supercomputing Center ; et al.

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20

Scanflow: an end-to-end agent-based autonomic ML workflow manager for clusters
Universitat Politècnica de Catalunya. Doctorat en Arquitectura de Computadors ; Universitat Politècnica de Catalunya. Departament d'Arquitectura de Computadors ; Barcelona Supercomputing Center ; et al.

Electronic Resource
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