Shahrokh Asadi

1. ACOkEL: Ant Colony Optimization for Selecting k-Labelsets for Multi-label Classification

Saghafi Erfan, Asadi Shahrokh (2024)., 10 th International Conference on Industrial and System Engineering, 18-19 September, Mashhad, Iran.

2. Optimizing Early Detection of Breast Cancer: A Cluster-Based Classification Approach

Shabani Alireza, Asadi Shahrokh (2024)., 10 th International Conference on Industrial and System Engineering, 18-19 September, Mashhad, Iran.

3. Demand forecasting based on deep learning methods for univariate time series

Mousavi Seyed Masoud, Asadi Shahrokh (2024)., 10 th International Conference on Industrial and System Engineering, 18-19 September, Mashhad, Iran.

4. Customer churn modeling in telecommunication using a novel multi-objective evolutionary clustering-based ensemble learning

فرجی گوگردچی کاوه, Asadi Shahrokh, Jafari Seyed Mohammadbagher (2024)., PLoS One, 19(6).

5. A New Combination of Ant Colony Optimization and Aquila Optimizer for Multi-Objective Feature Selection

Saghafi Erfan, Asadi Shahrokh (2024)., 19th Iranian International Industrial Engineering Conference, 15-16 May, Tehran, Iran.

6. An Evolutionary Hybrid Ensemble Learning Framework for Improving Call Option Price Prediction

Omidvar Mohammad Javad, Asadi Shahrokh (2024)., 19th Iranian International Industrial Engineering Conference, 15-16 May, Tehran, Iran.

1. Optimizing ensemble learning for accurate identification and prognostic evaluation of cardiovascular disease

Yazdi Fatemeh, Asadi Shahrokh (2023)., The ninth international conference on industrial and systems engineering (ICISE2023), 12-13 September, Iran.

2. AOACO : Aquila Optimizer Based on Ant Colony Optimization

Saghafi Erfan, Asadi Shahrokh (2023)., The ninth international conference on industrial and systems engineering (ICISE2023), 12-13 September, Iran.

3. Improvement of bagging by increasing probabilistic classifiers’ confidence in prediction: A Case study of SAPCO Parts Supply Company

Malekpour Shima, Asadi Shahrokh (2023)., The ninth international conference on industrial and systems engineering (ICISE2023), 12-13 September, Iran.

4. Development of fully convolutional neural networks based on discretization in time series classification

Hajizadeh Tahan Marzieh, Ghasemzadeh Mohammad, Asadi Shahrokh (2023)., IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 7(35), 1-1.

5. A Novel Embedded Discretization-Based Deep Learning Architecture for Multivariate Time Series Classification

Hajizadeh Tahan Marzieh, Ghasemzadeh Mohammad, Asadi Shahrokh (2023)., IEEE Transactions on Industrial Informatics, 19(4), 5976-5984.

1. Stock price prediction using fuzzy rule based systems

Mahmudian Mostafa, Asadi Shahrokh (2022)., Second International Conference on Optimization of Production and Service Systems (COPSS2022), 16-17 November, Iran.

2. Development of deep belief neural networks based on collective learning in disease diagnosis

مطلبی محمد, Asadi Shahrokh (2022)., Second International Conference on Optimization of Production and Service Systems (COPSS2022), 16-17 November, Iran.

3. A new method in robust data-driven optimization based on support vector clustering and kernel learning

همت یار امیرحسین, Asadi Shahrokh, Pishvaee Mir Saman (2022)., the 15th International Conference of The Iranian Operations Research Society, 16-17 November.

4. Development of an ensemble learning algorithm based on neural network multi-objective optimization in supplier selection: a case study, SAPCO Parts Supply Company

Mobini Samaneh, Asadi Shahrokh (2022)., Second International Conference on Optimization of Production and Service Systems (COPSS2022), 16-17 November, Iran.

5. Data-driven Robust Optimization in Genco Self-scheduling Problem

Hemmat yar Amirhosein, Asadi Shahrokh, پیشوایی میرسامان (2022)., 8th International Conference on Industrial and Systems Engineering, 7-8 September, Mashhad, Iran.

6. A dynamic hierarchical incremental learning-based supervised clustering for data stream with considering concept drift

Nikpour Soheila, Asadi Shahrokh (2022)., JOURNAL OF AMBIENT INTELLIGENCE AND HUMANIZED COMPUTING, 13(6), 2983-3003.

7. Face spoofing detection ensemble via multistage optimisation and pruning

Fatemifar Soroush, Asadi Shahrokh, Awais Muhammad, Akbari Ali, Kittler Josef (2022)., PATTERN RECOGNITION LETTERS, 158(6), 1-8.

1. Development of a semi-supervised learning based on multi-objective particle swarm optimization

Donyavi Zahra, Asadi Shahrokh (2021)., 2nd International Conference on Challenges and New Solutions in Industrial Engineering and Management and Accounting, 6-7 May, Damghan, Iran.

2. Customer response modeling through evolutionary multi-objective optimization a ensemble learning classifier

Asadi Shahrokh, باقری نژاد زهرا سادات (2021)., 2nd International Conference on Challenges and New Solutions in Industrial Engineering and Management and Accounting, 6-7 May, Damghan, Iran.

3. Flash flood susceptibility mapping using a novel deep learning model based on deep belief network, back propagation and genetic algorithm

Shahabi Himan, Shirzadi Ataollah, Ronoud Somayeh, Asadi Shahrokh, Thai Pham Binh, Mansouripour Fatemeh, Geertsema Marten, Clague John J., Tien Bui Dieu (2021)., Geoscience Frontiers, 12(3), 101100.

4. Development of ensemble learning classification with density peak decomposition-based evolutionary multi-objective optimization

Roshan SeyedEhsan, Asadi Shahrokh (2021)., International Journal of Machine Learning and Cybernetics, 12(1).

5. Development of an ensemble learning classifier based on support vector machines for customer churn modeling

Asadi Shahrokh, گودرزی نگین (2021)., 17th Iranian International Industrial Engineering Conference, 4 February, Mashhad, Iran.

6. Development of a classification model based on mixture of experts and deep learning for heart disease diagnosis

Asadi Shahrokh, حیدری حمیدرضا (2021)., 17th Iranian International Industrial Engineering Conference, 4 February, Mashhad, Iran.

7. Data-driven development of a fuzzy rule-based classification system to extract the structure of costumer decision in brand choice modeling

Asadi Shahrokh (2021)., 17th Iranian International Industrial Engineering Conference, 4 February, Mashhad, Iran.