Hybrid Conferencee

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

3rd - 4th November 2026 | Las vegas, USA
Sample Abstract
Download
Conference Brochure
Sample Full Paper
Download
Conference Notifications:

"Be sure to check this section regularly for all Research Plus International Conference updates. We’ll keep you informed about deadlines, event details, and more important notifications."

Call for Papers Extended:
"The deadline for full paper submissions has been extended for the Research Plus International Conference in Las vegas. Submit your research by today to participate in one of the top conferences."
Certificate of Presentation:
"Present your research and receive a Certificate of Presentation to recognise your valuable contribution to the conference."
Abstract Submissions Open:
"Abstract submissions for the Las vegas event are now open! Don’t miss the chance to present your research. Submit now."
Networking with Global Experts:
"Engage with researchers and professionals from around the world at the Las vegas conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Las vegas, featuring global leaders and innovators sharing their knowledge."
Best Paper & Best Paper Presentation Award:
"Submit your paper and stand a chance to win the Best Paper Presentation Award. The winner will be recognized at the conference in Las vegas."
SDG-Inspired Conference Focus:
"Our conference will highlight research that addresses global sustainability, inclusive education, and solutions for environmental challenges."

Call for Paper

The ICISML aims to explore emerging trends and future directions in research and innovation. It provides a collaborative platform for researchers and professionals to share ideas that shape the future of their respective domains.

The conference highlights advancements in Information Science, encouraging innovative, solution-oriented research that addresses global challenges and technological evolution.

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

01
Machine Learning Algorithms for Information Science
02
Data Mining Techniques in Information Retrieval
03
Artificial Intelligence in Information Systems
04
Predictive Analytics for Decision Making
05
Big Data Analytics in Machine Learning
06
Natural Language Processing Applications
07
Information Visualization Techniques
08
Data Preprocessing and Feature Engineering
09
Deep Learning for Information Science
10
Reinforcement Learning in Data Analysis
11
Ethics in Machine Learning Applications
12
Collaborative Filtering and Recommendation Systems
13
Text Mining and Sentiment Analysis
14
Graph-Based Machine Learning Approaches
15
Data Quality and Management Challenges
16
Real-Time Data Processing Techniques
17
Information Retrieval in Social Networks
18
Scalable Machine Learning Solutions
19
Interdisciplinary Approaches in Information Science
20
Future Directions in Machine Learning Research