• Home
  • Call for Paper

Call for Paper

The ICPAPML emphasizes interdisciplinary collaboration by bringing together experts from diverse fields. It encourages research that integrates multiple perspectives to address complex global challenges.

Key areas such as Probability Theory are explored to promote cross-domain knowledge exchange and collaborative innovation.

Authors are invited to submit papers addressing, but not limited to, the following areas:

01
Probabilistic models in machine learning
02
Bayesian methods for machine learning
03
Stochastic processes in AI applications
04
Probabilistic graphical models in ML
05
Uncertainty quantification in machine learning
06
Applications of Bayesian networks
07
Probabilistic approaches to deep learning
08
Statistical learning theory and applications
09
Reinforcement learning with probabilistic models
10
Probabilistic methods for natural language processing
11
Machine learning for predictive analytics
12
Ensemble methods in probabilistic learning
13
Probabilistic models for time series analysis
14
Applications of Markov models in ML
15
Probabilistic reasoning in AI systems
16
Statistical methods for model evaluation
17
Machine learning with incomplete data
18
Probabilistic approaches to computer vision
19
Applications of probabilistic models in healthcare
20
Probabilistic methods for anomaly detection

All submissions will undergo peer review to ensure quality and interdisciplinary relevance.

Accepted papers will be presented and considered for publication in journals and conference proceedings.

Registration

Registering for the conference provides access to keynote sessions, technical presentations, and networking opportunities with global experts.

👉 Register Now

Publication

Publishing through the conference enhances the visibility of your research and connects your work with a broader academic audience.

👉 Submit Your Research Work

Event Highlights

  • Keynote sessions by experienced speakers
  • Technical paper presentations across multiple topics
  • Opportunities for academic and professional networking
  • Discussions on current research developments

Contact Us

    Have questions about submission, registration, or publication? We’re happy to help.

  • Email: [email protected]
  • Phone:+91 9940952512

We look forward to your participation and contribution to the ASPHER Conference.