Efficient colossal pattern mining in high dimensional datasets. - Mohammad Karim Sohrabi; Ahmad Abdollahzadeh Barforoush (Knowl. Based Syst., 2012)

Parallel frequent itemset mining using systolic arrays. - Mohammad Karim Sohrabi; Ahmad Abdollahzadeh Barforoush (Knowl. Based Syst., 2013)

A comprehensive study on the effects of using data mining techniques to predict tie strength. - Mohammad Karim Sohrabi; Soodeh Akbari (Comput. Hum. Behav., 2016)

Online Farsi Handwritten Character Recognition Using Hidden Markov Model. - Vahid Ghods; Mohammad Karim Sohrabi (J. Comput., 2016)

Materialized View Selection for a Data Warehouse Using Frequent Itemset Mining. - Mohammad Karim Sohrabi; Vahid Ghods (J. Comput., 2016)

Multi-objective feature selection for warfarin dose prediction. - Mohammad Karim Sohrabi; Alireza Tajik (Comput. Biol. Chem., 2017)

Frequent itemset mining using cellular learning automata. - Mohammad Karim Sohrabi; Reza Roshani (Comput. Hum. Behav., 2017)

Proposing a new clustering method to detect phishing websites. - Morteza Arab; Mohammad Karim Sohrabi (Turkish J. Electr. Eng. Comput. Sci., 2017)

TSGV: a table-like structure-based greedy method for materialized view selection in data warehouses. - Mohammad Karim Sohrabi; Hossein Azgomi (Turkish J. Electr. Eng. Comput. Sci., 2017)

Parallel set similarity join on big data based on Locality-Sensitive Hashing. - Mohammad Karim Sohrabi; Hossein Azgomi (Sci. Comput. Program., 2017)

A Novel Virtual Machine Selection Policy for Virtual Machine Consolidation. - Mohammad Karim Sohrabi; Vahid Ghods; Seyed Yahya Zahedi Fard (ISCBI, 2018)

A game theory based framework for materialized view selection in data warehouses. - Hossein Azgomi; Mohammad Karim Sohrabi (Eng. Appl. Artif. Intell., 2018)

A gossip based information fusion protocol for distributed frequent itemset mining. - Mohammad Karim Sohrabi (Enterp. Inf. Syst., 2018)

A survey on classification techniques for opinion mining and sentiment analysis. - Fatemeh Hemmatian; Mohammad Karim Sohrabi (Artif. Intell. Rev., 2019)

A novel coral reefs optimization algorithm for materialized view selection in data warehouse environments. - Hossein Azgomi; Mohammad Karim Sohrabi (Appl. Intell., 2019)

Toward a semantic-based location tagging news feed system: Constructing a conceptual hierarchy on geographical hashtags. - Mohammad Hossein Davarpour; Mohammad Karim Sohrabi; Milad Naderi (Comput. Electr. Eng., 2019)

A Systematic Survey on High Utility Itemset Mining. - Bahareh Rahmati; Mohammad Karim Sohrabi (Int. J. Inf. Technol. Decis. Mak., 2019)

Finding Similar Documents Using Frequent Pattern Mining Methods. - Mohammad Karim Sohrabi; Hossein Azgomi (Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2019)

Evolutionary game theory approach to materialized view selection in data warehouses. - Mohammad Karim Sohrabi; Hossein Azgomi (Knowl. Based Syst., 2019)

An efficient preprocessing method for supervised sentiment analysis by converting sentences to numerical vectors: a twitter case study. - Mohammad Karim Sohrabi; Fatemeh Hemmatian (Multim. Tools Appl., 2019)

Improving performance of node clustering in wireless sensor networks using meta-heuristic algorithms and a novel validity index. - Mohammad Karim Sohrabi; Somayyeh Alimirzaee (J. Supercomput., 2019)

A cloud resource management framework for multiple online scientific workflows using cooperative reinforcement learning agents. - Ali Asghari; Mohammad Karim Sohrabi; Farzin Yaghmaee (Comput. Networks, 2020)

Providing effective recommendations in discussion groups using a new hybrid recommender system based on implicit ratings and semantic similarity. - Masoumeh Riyahi; Mohammad Karim Sohrabi (Electron. Commer. Res. Appl., 2020)

MVPP-Based Materialized View Selection in Data Warehouses Using Simulated Annealing. - Mohsen Mohseni; Mohammad Karim Sohrabi (Int. J. Cooperative Inf. Syst., 2020)

An efficient projection-based method for high utility itemset mining using a novel pruning approach on the utility matrix. - Mohammad Karim Sohrabi (Knowl. Inf. Syst., 2020)

Online scheduling of dependent tasks of cloud's workflows to enhance resource utilization and reduce the makespan using multiple reinforcement learning-based agents. - Ali Asghari; Mohammad Karim Sohrabi; Farzin Yaghmaee (Soft Comput., 2020)

Exploiting parallel graphics processing units to improve association rule mining in transactional databases using butterfly optimization algorithm. - Ali Abbas Zoraghchian; Mohammad Karim Sohrabi; Farzin Yaghmaee (Clust. Comput., 2021)

Combined use of coral reefs optimization and reinforcement learning for improving resource utilization and load balancing in cloud environments. - Ali Asghari; Mohammad Karim Sohrabi (Computing, 2021)

MR-MVPP: A map-reduce-based approach for creating MVPP in data warehouses for big data applications. - Hossein Azgomi; Mohammad Karim Sohrabi (Inf. Sci., 2021)

Energy-Aware and Proactive Host Load Detection in Virtual Machine Consolidation. - Seyed Yahya Zahedi Fard; Mohammad Karim Sohrabi; Vahid Ghods (Inf. Technol. Control., 2021)

A model-driven approach for semantic web service modeling using web service modeling languages. - Mohsen Mohseni; Mohammad Karim Sohrabi; Morteza Dorrigiv (J. Softw. Evol. Process., 2021)

Task scheduling, resource provisioning, and load balancing on scientific workflows using parallel SARSA reinforcement learning agents and genetic algorithm. - Ali Asghari; Mohammad Karim Sohrabi; Farzin Yaghmaee (J. Supercomput., 2021)

Combined use of coral reefs optimization and multi-agent deep Q-network for energy-aware resource provisioning in cloud data centers using DVFS technique. - Ali Asghari; Mohammad Karim Sohrabi (Clust. Comput., 2022)

Multiobjective Edge Server Placement in Mobile-Edge Computing Using a Combination of Multiagent Deep Q-Network and Coral Reefs Optimization. - Ali Asghari; Mohammad Karim Sohrabi (IEEE Internet Things J., 2022)

Ensemble transfer learning-based multimodal sentiment analysis using weighted convolutional neural networks. - Alireza Ghorbanali; Mohammad Karim Sohrabi; Farzin Yaghmaee (Inf. Process. Manag., 2022)

Parallel frequent itemsets mining using distributed graphic processing units. - Ali Abbas Zoraghchian; Mohammad Karim Sohrabi; Farzin Yaghmaee (Multim. Tools Appl., 2022)

Mining fuzzy high average-utility itemsets using fuzzy utility lists and efficient pruning approach. - Manijeh Hajihoseini; Mohammad Karim Sohrabi (Soft Comput., 2022)

HLHUI: An improved version of local high utility itemset mining. - Mohammad Sedghi; Mohammad Karim Sohrabi (ANT/EDI40, 2023)

Exploiting bi-directional deep neural networks for multi-domain sentiment analysis using capsule network. - Alireza Ghorbanali; Mohammad Karim Sohrabi (Multim. Tools Appl., 2023)

An improved learning automata based multi-objective whale optimization approach for multi-objective portfolio optimization in financial markets. - Hakimeh Morteza; Seyed Mahdi Jameii; Mohammad Karim Sohrabi (Expert Syst. Appl., 2023)

A comprehensive survey on deep learning-based approaches for multimodal sentiment analysis. - Alireza Ghorbanali; Mohammad Karim Sohrabi (Artif. Intell. Rev., 2023)

An Enhanced Deep Reinforcement Learning-based Slice Acceptance Control System (EDRL-SACS) for Cloud-Radio Access Network. - Mohsen Khani; Shahram Jamali; Mohammad Karim Sohrabi (Phys. Commun., 2023)

Server placement in mobile cloud computing: A comprehensive survey for edge computing, fog computing and cloudlet. - Ali Asghari; Mohammad Karim Sohrabi (Comput. Sci. Rev., 2024)

Capsule network-based deep ensemble transfer learning for multimodal sentiment analysis. - Alireza Ghorbanali; Mohammad Karim Sohrabi (Expert Syst. Appl., 2024)

Slice admission control in 5G cloud radio access network using deep reinforcement learning: A survey. - Mohsen Khani; Shahram Jamali; Mohammad Karim Sohrabi; Mohammad Mohsen Sadr; Ali Ghaffari (Int. J. Commun. Syst., 2024)

Resource allocation in 5G cloud-RAN using deep reinforcement learning algorithms: A review. - Mohsen Khani; Shahram Jamali; Mohammad Karim Sohrabi; Mohammad Mohsen Sadr; Ali Ghaffari (Trans. Emerg. Telecommun. Technol., 2024)

Bi-objective cloud resource management for dependent tasks using Q-learning and NSGA-3. - Ali Asghari; Mohammad Karim Sohrabi (J. Ambient Intell. Humaniz. Comput., 2024)

Approximate Q-learning-based (AQL) network slicing in mobile edge-cloud for delay-sensitive services. - Mohsen Khani; Shahram Jamali; Mohammad Karim Sohrabi (J. Supercomput., 2024)

Three-layer data center-based intelligent slice admission control algorithm for C-RAN using approximate reinforcement learning. - Mohsen Khani; Shahram Jamali; Mohammad Karim Sohrabi (Clust. Comput., 2024)

Self-supervised CondenseNet for feature learning to increase the accuracy in image classification. - Mahmoud Darvish-Motevali; Mohammad Karim Sohrabi; Israfil Roshdi (Multim. Tools Appl., 2024)

BreastCNet: Breast Cancer Detection, Classification, and Localization Convolutional Neural Network With Advanced Optimization Techniques. - Hassan Mahichi; Vahid Ghods; Mohammad Karim Sohrabi; Arash Sabbaghi (IEEE Access, 2025)

Aspect-based sentiment analysis: A dual-task learning architecture using imbalanced maximized-area under the curve proximate support vector machine and reinforcement learning. - Mohammad Mahdi Motevalli; Mohammad Karim Sohrabi; Farzin Yaghmaee (Inf. Sci., 2025)