Mohammad-Parsa Hosseini

According to our database, Mohammad-Parsa Hosseini authored at least 15 papers between 2014 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Training-Free Agentic AI: Probabilistic Control and Coordination in Multi-Agent LLM Systems.

Mohammad-Parsa Hosseini, Ankit Shah, Saiyra Qureshi, Alex Huang, Connie Miao, Wei Wei

CoRR, March, 2026

2025

Improving LLM Retrieval with GraphRAG-SF: Semantic Filtering for Graph-Based RAG Systems.

Mohammad-Parsa Hosseini, Ankit Shah, Connie Miao, Wei Wei

Proceedings of the IEEE International Conference on Big Data, 2025

2020

Review of Machine Learning Algorithms for Brain Stroke Diagnosis and Prognosis by EEG Analysis.

Mohammad-Parsa Hosseini, Cecilia Hemingway, Jerard Madamba, Alexander McKee, Natalie Ploof, Jennifer Schuman, Elliot Voss

CoRR, 2020

Respiratory Sound Classification Using Long-Short Term Memory.

Chelsea Villanueva, Joshua Vincent, Alexander Slowinski, Mohammad-Parsa Hosseini

CoRR, 2020

Diagnosis of Autism in Children using Facial Analysis and Deep Learning.

Madison Beary, Alex Hadsell, Ryan Messersmith, Mohammad-Parsa Hosseini

CoRR, 2020

Multimodal data analysis of epileptic EEG and rs-fMRI via deep learning and edge computing.

Mohammad-Parsa Hosseini, Tuyen X. Tran, Dario Pompili, Kost V. Elisevich, Hamid Soltanian-Zadeh

Artif. Intell. Medicine, 2020

2018

Random ensemble learning for EEG classification.

Mohammad-Parsa Hosseini, Dario Pompili, Kost V. Elisevich, Hamid Soltanian-Zadeh

Artif. Intell. Medicine, 2018

2017

Optimized Deep Learning for EEG Big Data and Seizure Prediction BCI via Internet of Things.

Mohammad-Parsa Hosseini, Dario Pompili, Kost V. Elisevich, Hamid Soltanian-Zadeh

IEEE Trans. Big Data, 2017

Deep Learning with Edge Computing for Localization of Epileptogenicity Using Multimodal rs-fMRI and EEG Big Data.

Mohammad-Parsa Hosseini, Tuyen X. Tran, Dario Pompili, Kost V. Elisevich, Hamid Soltanian-Zadeh

Proceedings of the 2017 IEEE International Conference on Autonomic Computing, 2017

2016

Automatic and Manual Segmentation of Hippocampus in Epileptic Patients MRI.

Mohammad-Parsa Hosseini, Mohammad-Reza Nazem-Zadeh, Dario Pompili, Kourosh Jafari-Khouzani, Kost V. Elisevich, Hamid Soltanian-Zadeh

CoRR, 2016

Real-Time Epileptic Seizure Detection from EEG Signals via Random Subspace Ensemble Learning.

Mohammad-Parsa Hosseini, Abolfazl Hajisami, Dario Pompili

Proceedings of the 2016 IEEE International Conference on Autonomic Computing, 2016

Cloud-based deep learning of big EEG data for epileptic seizure prediction.

Mohammad-Parsa Hosseini, Hamid Soltanian-Zadeh, Kost V. Elisevich, Dario Pompili

Proceedings of the 2016 IEEE Global Conference on Signal and Information Processing, 2016

2014

Lateralization of temporal lobe epilepsy by imaging-based response-driven multinomial multivariate models.

Mohammad-Reza Nazem-Zadeh, Jason M. Schwalb, Hassan Bagher-Ebadian, Fariborz Mahmoudi, Mohammad-Parsa Hosseini, Kourosh Jafari-Khouzani, Kost V. Elisevich, Hamid Soltanian-Zadeh

Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

Statistical validation of automatic methods for hippocampus segmentation in MR images of epileptic patients.

Mohammad-Parsa Hosseini, Mohammad-Reza Nazem-Zadeh, Dario Pompili, Hamid Soltanian-Zadeh

Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

Support Vector Machine with nonlinear-kernel optimization for lateralization of epileptogenic hippocampus in MR images.

Mohammad-Parsa Hosseini, Mohammad-Reza Nazem-Zadeh, Fariborz Mahmoudi, Hao Ying, Hamid Soltanian-Zadeh

Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014