workshop1
Title: Instant recognition of emotions from facial expressions on smartphones using deep learning
Presenter: Omid Ghadami
Email:omidghadami1995@gmail.com
Workshop Outlines:
– Introduction to Convolutional Neural Networks, Quantization, Scaling
– Challenges
– Review of the approach on smartphone processors and Tesla T4 GPU
– Data loading, preprocessing, and training in TensorFlow
– Quantization-aware training in TensorFlow
workshop2
Title: Analysis of different types of Generative Adversarial Networks (GANs)
Presenter: Mohammad Hojjat
Email: mohammad.shamami21@gmail.com
Workshop Outline:
– Introduction to Generative Adversarial Networks (GANs)
– Different GAN architectures
– Practical applications of GANs
– Challenges and limitations in training and optimizing GANs
– Future directions in GAN research and development
workshop3
Title: Generative AI in RapidMiner software
Presenter: Behzad Solimani Neisiani
Email: b.soleimani@demisco.com
Workshop Outline: In this 1-hour workshop, participants will be introduced to the practical use and implementation of generative AI tools in RapidMiner software, and a simple project for sentiment analysis using generative AI will be conducted.
- Brief introduction to GAI
- Overview of the GAI plugin in RapidMiner and how to install it
- Introduction to the operator for downloading AI models from the Hugging Face website
- Introduction to the operator for loading AI models
- Overview of the 10 GAI operators, including Conversational, Fill Mask, Question Answering, Summarization, Text2Text Generation, Text Classification, Text Generation, Token Classification, Translation, and Zero Shot Classification
- Introduction to fine-tuning a generative AI model using our practical materials (our custom and personal dataset)
workshop4
Title: How to Write a Bibliometrics Paper for Publication in Renowned International Journals
Presenter: Fatemeh Azimzadeh
Email: f.azimzadeh@gmail.com
Workshop Outline:
– Familiarity with important bibliographic information sources and how to use them
– Familiarity with key tools for analyzing bibliographic data
– Ability to review and analyze publications in a scientific field (suitable for graduate students)
– Ability to publish bibliometric analysis results in reputable international journals