International Conference on

Deep Learning and Machine Learning Integration (ICDLML-26)

8th – 9th Oct 2026 | Barcelona, Spain | Hybrid Mode
Proudly organized by the : Institute for Global Academic Excellence (IGAE)

Call for Papers

The International Conference on Deep Learning and Machine Learning Integration invites researchers, academicians, industry professionals, and practitioners to submit original and high-quality research contributions. The conference aims to provide a global platform for knowledge exchange, innovation, and collaboration across diverse research domains.

This conference focuses on emerging trends, practical challenges, and cutting-edge advancements in areas such as Machine Learning encouraging interdisciplinary research and innovative approaches to solving real-world problems.

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

01
Deep learning architectures for ML integration
02
Transfer learning in deep learning applications
03
Hybrid models combining deep learning and ML
04
Neural networks for predictive analytics
05
Feature extraction techniques in deep learning
06
Optimization algorithms for deep learning
07
Real-world applications of deep learning
08
Challenges in deep learning integration
09
Explainability in deep learning models
10
Deep learning for time series forecasting
11
Generative models in machine learning
12
Deep reinforcement learning applications
13
Multi-modal learning with deep networks
14
Scalability issues in deep learning
15
Deep learning for image recognition tasks
16
Natural language processing with deep learning
17
Deep learning in healthcare applications
18
Adversarial attacks on deep learning models
19
Data augmentation techniques for deep learning
20
Future trends in deep learning integration
Conference Registration
  • Accepted authors must register for the conference to present their work.
  • Early registration allows you to take advantage of discounted fees.
  • Check the registration page for more details.
Publication Opportunities

Selected papers will be published in the IGAE Conference Proceedings or other journals affiliated with IGAE. Authors whose papers are accepted for publication will be notified in advance.

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

Quick Links

IGAE Banner