What is DAI-DAY
Dai-day
The first session of the “Amirkabir Data Mining and Artificial Intelligence Day” event will be held in the month of Bahman this year at the Faculty of Mathematics and Computer Science at Amirkabir University of Technology. This gathering, titled Amirkabir’s Datamining & Artificial Intelligence Day (Amirkabir’s DAI-DAY), provides a unique opportunity for discussion and sharing experiences in the field of data mining and artificial intelligence. In addition to scientific lectures, competitions will be held during this event to enable individuals to exchange knowledge and gain practical experience in the areas of data mining and artificial intelligence. All interested and active individuals in the fields of data processing, machine learning, artificial intelligence, and related areas are invited to benefit from this opportunity for expanding their professional knowledge and connections.
در خبرگزاری های داخلی DAI-DAY
شبکه چهار سیما
برگزاری رویداد روز داده کاوی و هوش مصنوعی (امیرکبیر دی دی)
Events
Causal Inference
2:00 pm – 2:20 pm
Time: 14:00 – 14:20 Presenters: Ahmadreza Horobi, Moammad Barati Dehaghi Location: Bahman Hall (Central Amphitheater)
Pseudocounts for transcription factor binding sites
2:00 pm – 2:20 pm
Time: 14:00 – 14:20 Presenters: Yasamin Tafakor, Sarina Heshmati Location: Fajr Hall (Central Amphitheater)
Predicting financial market prices using linear regression
2:00 pm – 3:00 pm
Time: 14:40- 15:00 Presenters: Kiarash Esmaeilbeigi Location: Fajr Hall (Central Amphitheater)
Voice-Controlled Persian Language AI Assistant
2:20 pm – 2:40 pm
Time: 14:20 – 14:40 Presenters: Seyed Hashem Sanaei Nezhad Hamidreza Nasrabadi Location: Fajr Hall (Central Amphitheater)
Genetic Algorithm Clustering
2:20 pm – 2:40 pm
Time: 14:20 – 14:40 Presenters: Sina Moradi Arian Fathi Parsa Khadem Location: Bahman Hall (Central Amphitheater)
Vision-based housing price estimation using interior, exterior & satellite images
2:40 pm – 3:00 pm
Time: 14:40- 15:00 Presenters: Mohammad Mahdi Haji Abbasi Ali Vefghi Location: Bahman Hall (Central Amphitheater)
Prostate Cancer Diagnosis Based on Multi-Parametric MRI, Clinical and Pathological Factors Using Deep Learning
3:00 pm – 3:20 pm
Time: 15:00 – 15:20 Presenters: Haniye Sherafatmandjoo Location: Fajr Hall (Central Amphitheater)
Revolutionizing Car Sales with AI: A Look at Our Advanced Recommendation System
3:00 pm – 3:20 pm
Time: 15:00 – 15:20 Presenters: Reza Shirazi Location: Bahman Hall (Central Amphitheater)
Industrial-scale applications of TinyML
3:20 pm – 3:40 pm
Time: 15:20 – 15:40 Presenters: Alireza Keivanimehr, Mohammad Ali Keshavarz Location: Bahman Hall (Central Amphitheater)
A comparative study of GNN and MLP based machine learning for the diagnosis of Alzheimer’s Disease involving data synthesis
3:20 pm – 3:40 pm
Time: 15:20- 15:40 Presenters: Zahra Rafei Seyedeh Fatemeh Hosseini Location: Fajr Hall (Central Amphitheater)
Data Mining and Artificial Intelligence Roadmap
3:40 pm – 4:00 pm
Time: 15:40 – 16:00 Presenters: Aref Azizian Location: Bahman Hall (Central Amphitheater)
The Role of Artificial Intelligence in Banking Industry
3:40 pm – 4:00 pm
Time: 15:40- 16:00 Presenters: : Fateme Sadat Hoseini Sadi Location: Fajr Hall (Central Amphitheater)
A brief introduction to GANs with applications to understanding biological data
4:00 pm – 4:20 pm
Time: 16:00 – 16:20 Presenters: Mohammad Amin Askari Location: Fajr Hall (Central Amphitheater)
GENERATE RATHER THAN RETRIEVE: LARGE LANGUAGE MODELS ARE STRONG CONTEXT GENERATORS
4:00 pm – 4:20 pm
Time: 16:00 – 16:20 Presenters: Rosa Hamidi AmirHossein Joghatayi Location: Bahman Hall (Central Amphitheater)
AI in Industry
4:20 pm – 4:40 pm
Time: 16:20- 16:40 Presenters: Fatemeh Shiri Location: Fajr Hall (Central Amphitheater)
Quantum frontier data mining, discovery of electron tunneling communities in breast cancer
4:20 pm – 4:40 pm
Time: 16:20- 16:40 Presenters: Elahe Daviran Seyed Ali Shahcheragh Location: Bahman Hall (Central Amphitheater)
Knowledge-Based Agents
4:40 pm – 5:00 pm
Time: 16:40 – 17:00 Presenters: Ali Alefkhani Amin Hossein Seyedghaleh Sina Enayat Location: Bahman Hall (Central Amphitheater)
Adaptive Random Walk Gradient Descent for Decentralized Optimization
4:40 pm – 5:00 pm
Time: 16:40- 17:00 Presenters: Emad Izadifar Location: Fajr Hall (Central Amphitheater)
Competitions
Coding
You have a dataset with 69,000 Persian news articles, each categorized. It has been decided to provide a portion of the dataset and ask for a model to be trained on it. The goal is to rank models based on accuracy using the provided test data.
