MLKD 2024

December 18-19, 2024
Amirkabir University of Technology - Tehran Polytechnic

Click on the links below to join the virtual session rooms.

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)

ICSE: Interpretable Counterfactual/SemiFactual Explanations (Sooroush Riazi, Mohamad Akbari, Zahed Rahmati)

Thursday – Dec 19, 2024

 

Session 3A

Session 3B

8:30 – 8:45

Machine Learning for Food Demand Prediction: A CatBoost Regression Model (Pouria Mirzaei, Dr. Ali Shahande)

Fuzzy Ex-RL: Fuzzy Experience-Based Reinforcement Learning (Ali Ghandi, Saeed Bagheri Shouraki)

8:45 – 9:00

The Predictor-Based Method for Signal Detection in Time Series Data, Case Study: Financial Markets of Iran in Corona Virus Pandemic (Amir Hossein Ghatari, Seyed Reza Seyed Ali Mortezaei)

Optimizing Data Curation through Spectral Analysis and Joint Batch Selection (SALN) (Sharifi Mohammadreza)

9:00 – 9:15

Enhancing Epidemiological Models with Parameter Estimation and Symbolic Regression: A Case Study on COVID-19 (Shila Rezvani)

BCGNN: Machine Learning based Breast Cancer Classification Improvement Using Graph Neural Network (Alireza Kazempoor Choobari, Sadegh Sulaimany)

9:15 – 9:30

Using Deep Reinforcement Learning Technique for Distributed Denial of Service Attack Detection in Software Defined Networks (Khashayar Delavari,Mehran Shetabi,Sayed Alireza Sadrossadat)

A Convolutional Neural Network Approach to Schizophrenia Detection Based on Wavelet Transformed EEG Signals (Mohammad Reza Sheikh, Maliheh Sabeti)

9:30 – 9:45

A Comparative Study of YOLOv8 Segmentation and Detection Models for Urban Object Detection & Classification in SAR Images (Arya Ahadi, Mohammadreza Hassannejad Bibalan)

Find Effective Features and Optimal Algorithms for Predicting Student Performance in Mathematics and Science (Mahboubeh Molavi Arabshahi, Narges Ghanbari)

9:45 – 10:00

On the Space Complexity of Counting Triangles Using Oracles (Hossein Jowhari, Arash Rahmati)

Enhanced MOGA-DBSCAN: Improving Clustering Quality with a Density-Adjusted Outlier Index (Hossein Eyvazi , Ali Rajaei)

10:00 – 10:15

Self-Representation Unsupervised Feature Selection based on Non-Negative Matrix Factorization (Hossein Nasser Assadi, Faranges Kyanfar, Farid Saberi-Movahed, Abbas Salemi)

From Images to Insights: Advanced CNN Architectures for Accurate Malaria Cell Classification (Tahereh Majidi. Samira Qasemi, Saeedeh Kamjoo, Mehrdad Lakestani)

10:15 – 10:30

An Improvement of the Performance of Polar-Space-Trained DuAT Models for the Segmentation of Dermoscopic Images Parham Izadi Ghahfarokhi

Climate Forecasting by Bidirectional Recurrent Neural Networks (Sepehr Abbaspour, Hedieh Sajedi)

10:30 – 11:00

Coffee Break

 

Session 4A

Session 4B

11:00 – 11:15

Early Detection of Alzheimer’s-like Behavior Using Deep Learning and Sensor Data in a Smart Home Environment (Mohammadamin Ahanin, Mobina Riahi, Mohammad Sadegh Rezaei)

Identifying factors affecting tourist destinations in Iran: Supervised Learning Approach (Mahdi Nezami)

11:15 – 11:30

Applications of Deep Learning to Predict Ocean-Atmospheric Characteristics (Atefeh Pourkarimian, Mahdi Mohammad Mahdizadeh, Mohammad Reza Khalilabadi)

Spinal sagittal alignment: investigation of postoperative pelvic kinematic improvement in patients with spinal sagittal imbalance using machine learning methods (Sadegh Madadi, Mostafa Rostami, Hadi Farahani, Farshad Nikouee, Mohammad Samadian, Ram Haddas)

11:30 – 11:45

Impact of Feature Types on Boundary Detection Between Metadata and Body in Persian Theses (Nima Shadman, Jalal A. Nasiri)

A Modified Fractional Physics-Informed Neural Networks for Solving Fractional Reaction-Diffusion Problems (Maryam Mohammadi, Mohadese Ramezani, Reza Mokhtari)

11:45 – 12:00

Automated Defect Detection and Grading of Piarom Dates Using Deep Learning (Nasrin Azimi Danial Mohammad Rezaei)

A Hybrid Method Based on Least Squares Support‎ ‎Vector‎ ‎Regression and Orthonormal Bernoulli Polynomials for Solving Fredholm Integral Equations (Marzieh Pourbabaee)

12:00 – 12:15

Pattern Vectors with the Characteristic Coefficients

(Asma Zeynali, Dariush Kiani, Sara Saeedi Madani)

The Neural Network Method for Solving Lane–Emden Equation with Chebyshev Polynomials of Second Kind (Marzieh Pourbabaee)

12:15 – 12:30

CTENet: A Weakly Supervised Approach to Camouflage Detection Using Enhanced Texture, Contrast, and Edges (Fateme Ekhtiari, Dr.Ali Jafari, MohammadErfan Mesbah)

PhIGT: Physics-Informed Graph Transformer for Planar Cable-Driven Parallel Robot Forward Kinematics (Javad Khoramdel, Ahmad Moori)

12:30 – 12:45

 

Proximal Policy Optimization with Adaptive Generalized Advantage Estimate (Naemeh Mohammadpour, Meysam Fozi, Mohammad Mehdi Ebadzadeh, Ali Azimi, Ali Kamalie Iglie)