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A Cloud-based Framework for Implementing Portable Machine Learning Pipelines for Neural Data Analysis.

, , , , , and . EMBC, page 4466-4469. IEEE, (2019)

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A Machine Learning Model for Exploring Aberrant Functional Network Connectivity Transition in Schizophrenia., , , , , and . SSIAI, page 112-115. IEEE, (2020)Temperature Compensation in CMOS Peaking Current References., , , and . IEEE Trans. Circuits Syst. II Express Briefs, 65-II (9): 1139-1143 (2018)Visualizing functional network connectivity difference between middle adult and older subjects using an explainable machine-learning method., , and . BIBE, page 955-960. IEEE, (2020)Aberrant Functional Network Connectivity Transition Probability in Major Depressive Disorder., , , , , , , , , and 4 other author(s). EMBC, page 1493-1496. IEEE, (2020)Hierarchical Neural Network with Layer-wise Relevance Propagation for Interpretable Multiclass Neural State Classification., , , and . NER, page 351-354. IEEE, (2021)CMOS-compatible structure for voltage-mode multiple-valued logic circuits., , and . ICECS, page 438-441. IEEE, (2011)Zero-power mismatch-independent Digital to Analog converter., , , and . NEWCAS, page 1-4. IEEE, (2015)Algorithm-Agnostic Explainability for Unsupervised Clustering., , , , and . CoRR, (2021)Brain age gap difference between healthy and mild dementia subjects: Functional network connectivity analysis., , and . EMBC, page 1636-1639. IEEE, (2021)A low-power temperature-compensated CMOS peaking current reference in subthreshold region., , , , , and . ISCAS, page 1-4. IEEE, (2017)