Wednesday – Dec 18, 2024 |
10:00 – 10:40 | Opening Session |
10:40 – 11:20 | Tutorial talk: From Curse to Cure: Dimensionality Reduction Techniques in Machine Learning (Fatemeh Shakeri) |
11:20 – 12:00 | Tutorial talk: Vision Transformer (Mansoor Rezghi) |
12:00 – 13:30 | Lunch – on your own |
| | Session 1A | Session 1B |
13:00 – 13:15 | A One-Dimensional Convolutional Neural Network Intrusion Detection System on the CICDDoS2019 Dataset in Cloud Environments (Payam Mahmoudi Nasr, Elmira Majidi Hatkehloui) | Predicting Patient’s Recovery Process using Electronic Health Records with Supervised Variational Autoencoder (A Batooei, E Nazerfard, A Askari) |
13:15 – 13:30 | An Artificial Neural Networks Approach in Estimating Implied Volatility (Navideh Modarresi, Reza Kazemi, Alireza Mousavi) | Re-evaluation and Validation of Graph Neural Network for Predicting Drug-Target Binding Affinity (Kowsar Ghomi, Bahram Sadeghi Bigham) |
13:30 – 13:45 | Anomaly Detection using ConvLSTM Autoencoder in Smart Home Environments (Zahra Atashgahi, Mohammadreza Jafaei, Ehsan Nazerfard, Alireza Nadali) | Advancing Ocean Level Prediction with Machine Learning (Nilufar Makky, Ahmad Moradi) |
13:45 – 14:00 | A Novel Multi-Task Learning Architecture for COVID-19 Detection and Lung Infection Segmentation in CT Scans (Shirin Kordnoori, Maliheh Sabeti, Hamidreza Mostafaei, Saeed Seyed Agha Banihashemi) | The Application and Effectiveness of Machine Learning and Deep Learning Methods in Analyzing and Predicting the Shanghai Stock Index (Raziye Rafibakhsh, Ali Mohades Khorasani, MohammadAmin Rezazadeh) |
14:00 – 14:15 | Comparative Analysis of MLP and RBF Neural Networks for Heart Disease Diagnosis: The Impact of Feature Selection on Model Performance (Fatemeh Moaven, Mostafa Abbaszadeh, Mahboubeh Molavi-Arabshahi) | Transfer Time Reduction for Offloading in the Mobile Edge Computing using Machine Learning (Sorayya Gharravi, Seyed Morteza Babamir) |
14:15 – 14:30 | Application of Fixed Structure Learning Automata for Designing Intrusion Detection Systems (Kayvan Asghari) | Enhancing Temporal Action Localization with 3D Input and Attention Mechanisms (Mozhgan Mokari, Khosrow Haj Sadeghi) |
14:30 – 14:45 | Enhanced Parameter Estimation in the Generalized Kuramoto Sivashinsky Equation Using Physics Informed Neural Networks and Maximum Likelihood Estimation (Mahya Pashapour, Mostafa Abbaszadeh, Mehdi Dehghan) | Optimizing Drug-Disease Association Analysis: A Resource-Efficient Approach Using Numerical Linear Algebra and Machine Learning (Zahra Rafei, Seyedeh Fatemeh Hosseini, Behnam Yousefimehr, Sajed Tavakkoli, Mehdi Ghatee) |
14:45 – 15:00 | RFBfeat Deep Neural Network for Cross-View Remote Sensing Image Matching (Mohammad Erfan Messbah, Ali Jafari) | Improving Breast Cancer Prognosis via Multi-Gene Machine Learning Model (Fateme Azizi, Bahram Sadeghi Bigham, Mahboobe Zarrabi) |
15:00 – 16:00 | Invited talk: Understanding the Dynamics of Learning Linguistic Knowledge in Large Language Models (Hadi Amiri) |
16:00 – 17:00 | Invited talk: Innovative Uses of Machine Learning to Help Decision-Makers Build, Apply, and Interpret Simulation Models (Philippe J. Giabbanelli) |
| | Session 2A | Session 2B |
17:00 – 17:15 | Relational Graph Convolutional Networks for Sentiment Analysis (Asal Khosravi, Zahed Rahmati, Ali Vefghi) | Is Evaluation Based on Accuracy of Classification Algorithms Misleading? An Approach to Model Validation Using Bayes Error Rate (Hossein Kazemzadeh G., Adel Mohammadpour) |
17:15 – 17:30 | Analyzing Persian Twitter Sentiments on the Arbaeen Walk: A Comparative Study of LDA and BERTopic with the Arbaeen Tweets Dataset (Zeynab Didehkhani) | Metaheuristic Algorithms in Video Games: A Case Study of Pac-Man (Rashin Gholijani Farahani, Niloofar Mirzaei Chahardeh) |
17:30 – 17:45 | Two-Stage Classifier for Detecting Campaign Negativity with Axis Embeddings in Persian Tweets (Fatemeh Rajabi, Ali Mohades) | The Effect of Computer Games on the Personality and Creativity of Students of University Interested in Gaming Using Data Mining Techniques (Niloofar Mirzaei Chahardeh, Mahdi Mazinani) |
17:45 – 18:00 | Conditions of an Appropriate Dataset for Movie Conversational Recommender: The Users’ Point of View (Tayyebeh Saeedi, Ali Mohades, Hossein Zeinali) | |
