Tags

• asd 1
• fmri 1
• ml-ms 1
• eeg 2
• HPC-MS 1
• software 10
• preprint 2
• ML-seizure 4
• conference 1
• workshop 1
• Grants 1
• Academia 1

asd

• Characterization and diagnosis of Autism Spectrum

fmri

• Characterization and diagnosis of Autism Spectrum

ml-ms

• ML Ecosystem for Mass Spectrometry Data

eeg

• MLSPred-Bench: Reference EEG Benchmark for Prediction of Epileptic Seizures
• Predicting Epileptic Seizures

HPC-MS

• HPC Engine for Mass Spectrometry based Omics Data

software

• UtilLLM_EPS
• MAESTRO
• phyNGSC
• HiCOPS & GiCOPS
• Temporal Pattern Mining (TPM) algorithm
• ProteoRift
• Mass-Simulator
• MS-Reduce
• J-EROS
• ASD-DiagNet

preprint

• Predicting peptide properties from mass spectrometry data using deep attention-based multitask network and uncertainty quantification
• MLSPred-Bench: ML-Ready Benchmark Leveraging Seizure Detection EEG data for Predictive Models

ML-seizure

• Paras Parani Advances to University-Wide 3MT Competition
• Dr. Umair Mohammad Selected as an AES Fellow
• 2024 IEEE International Conference on Big Data workshop HPC-BOD Paper Acceptance
• CDMA Paper Acceptance

conference

• Utilizing Pretrained Vision Transfomers and Large Language Models for Epileptic Seizure Prediction

workshop

• Lightweight Transformer exhibits comparable performance to LLMs for Seizure Prediction: A case for light-weight models for EEG data

Grants

• NIH Funding Mechanisms (Research and Development) - part 1

Academia

• NIH Funding Mechanisms (Research and Development) - part 1