Flex Conference (Physical / Digital)

International Conference on Information Science and Machine Learning (ICISML - 26)

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Call for Paper

The ICISML provides a supportive platform for both experienced researchers and early-career academicians to present their work and gain recognition. The conference covers diverse topics such as Information Science encouraging participation from emerging researchers and fostering academic growth.

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

  • Machine Learning Algorithms for Information Science
  • Data Mining Techniques in Information Retrieval
  • Artificial Intelligence in Information Systems
  • Predictive Analytics for Decision Making
  • Big Data Analytics in Machine Learning
  • Natural Language Processing Applications
  • Information Visualization Techniques
  • Data Preprocessing and Feature Engineering
  • Deep Learning for Information Science
  • Reinforcement Learning in Data Analysis
  • Ethics in Machine Learning Applications
  • Collaborative Filtering and Recommendation Systems
  • Text Mining and Sentiment Analysis
  • Graph-Based Machine Learning Approaches
  • Data Quality and Management Challenges
  • Real-Time Data Processing Techniques
  • Information Retrieval in Social Networks
  • Scalable Machine Learning Solutions
  • Interdisciplinary Approaches in Information Science
  • Future Directions in Machine Learning Research

Review & Publication

Submissions will be reviewed to ensure quality and relevance, with a focus on encouraging emerging research contributions. Accepted papers will be presented and considered for publication opportunities.

Registration

Early-career researchers are encouraged to register and present their work, gaining valuable feedback and academic exposure.

Publication

The conference provides opportunities for emerging researchers to publish their work in recognized platforms.

Important Dates

Early Bird Registration :19th July 2026

Paper Submission Deadline :24th July 2026

Last Date of Registration : 3rd August 2026

Date of Conference : 18th - 19th August 2026

Supporting Academic Continuity

APSTE ensures that research and publication processes continue without interruption in the current global situation. Participants can present their work through digital and integrated formats.

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