International Conference on Machine Learning and Computing on February 14-17, 2025 in Guangzhou, China

International Conference on Machine Learning and Computing on February 14-17, 2025 in Guangzhou, China

Publication:

All submitted papers will be sent to 2-3 peer reviewers for reviewing. And accepted and presented papers will be published into ICMLC 2025 International Conference Proceedings Series by ACM (ISBN: 979-8-4007-0702-5), which will be indexed by Ei Compendex and Scopus index, like the previous conferences.

 

Accepted papers in ICMLC 2017-2024 have been included in ACM Digital Library, indexed by Ei Compendex, and Scopus successfully.

● ICMLC 2024 Conference Proceedings (ISBN: 979-8-4007-0923-4) | ACM Digital Library | Ei Compendex & Scopus

● ICMLC 2023 Conference Proceedings (ISBN: 978-1-4503-9841-1) | ACM Digital Library | Ei Compendex & Scopus

● ICMLC 2022 Conference Proceedings (ISBN: 978-1-4503-9570-0) | ACM Digital Library | Ei Compendex & Scopus

● ICMLC 2021 Conference Proceedings (ISBN: 978-1-4503-8931-0) | ACM Digital Library | Ei Compendex & Scopus

● ICMLC 2020 Conference Proceedings (ISBN: 978-1-4503-7642-6) | ACM Digital Library | Ei Compendex & Scopus

● ICMLC 2019 Conference Proceedings (ISBN: 978-1-4503-6600-7) | ACM Digital Library | Ei Compendex & Scopus

● ICMLC 2018 Conference Proceedings (ISBN: 978-1-4503-6353-2) | ACM Digital Library | Ei Compendex & Scopus

● ICMLC 2017 Conference Proceedings (ISBN: 978-1-4503-4817-1) | ACM Digital Library | Ei Compendex & Scopus

 

Conference Schedule:

February 14, 2025 | Conference Materials Collection & Welcome Reception

February 15, 2025 | Opening Remarks & Keynote Speeches & Invited Speeches & Parallel Sessions for Authors' Presentation

February 16, 2025 | Parallel Sessions for Authors' Presentations

February 17, 2025 | Parallel Sessions for Authors' Presentations & Closing Ceremony

 

Contact:

Ms. Allison Fung (Conference Secretary)

Email: [email protected]

Tel: +86-13258111117

WeChat No.: asr2020217 (Please note: ICMCL 2025)

TRACK 1: Machine Learning

* Unsupervised Learning

* Meaningful Compression

* Computational Theories of Learning

* Big Data Visualization

* Structure Discovery

* Feature Elicitation

* Recommender Systems

* Targetted Marketing

* Multitasking and Transfer Learning

* Customer Segmentation

* Deep learning

* Supervised Learning

* Image Classification

* Identity Fraud Detection

* Customer Retention

 

TRACK 2: Computing

* Computer Modeling

* Parallel Computing

* Quantum Computing

* High Performance Computing

* Distributed and parallel systems

* Cognitive Computing

* Cloud Computing

* Distributed Computing

* Grid Computing

* Embedded Computing

* Scientific Computing

* Scalable Computing

* Human-centred Computing

* Mobile computing

* Simulation

Name: The Asia Society of Researchers
Website: http://www.asr.org/

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