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48,453 grants matching machine learning

Validating of Machine Learning-Based EEG Treatment Biomarkers in Depression

$1,016,513
Amit Etkin · Alto Neuroscience, Inc. · R44 · FY2022 · MH

III: Medium: Geometric and topological approaches to biomolecular structure and dynamics

$1,016,489
Guowei Wei · Michigan State University · · FY2013 · CSE

III: Medium: Linear Algebra Operators in Databases to Support Analytic and Machine-Learning Workloads

$1,016,318
Kenneth A Ross · Columbia University · · FY2023 · CSE

SBIR Phase II: Using Data Mining to Optimally Customize Therapy for Individuals with Autism

$1,016,170
John T Nosek · Guiding Technologies Corporation · · FY2016 · TIP

Circuit function and visual signal processing in the retina

$1,016,097
Jeffrey S Diamond · National Institute Of Neurological Disorders And Stroke · ZIA · FY2024 · NS

PFI-RP: BioSPACE: Biosensing Surveillance of Pathogens in Aquaculture and Coastal Environments

$1,016,000
Yan Luo · University Of Massachusetts Lowell · · FY2023 · TIP

III: Medium: Machine Learning with Humans in the Loop

$1,016,000
Thorsten Joachims · Cornell University · · FY2015 · CSE

III: Medium: Knowledge-Guided Meta Learning for Multi-Omics Survival Analysis

$1,016,000
Aidong Zhang · University Of Virginia Main Campus · · FY2021 · CSE

CyberTraining: Implementation: Medium: C2D - Cybertraining for Chemical Data scientists

$1,016,000
Xiangliang Zhang · University Of Notre Dame · · FY2023 · CSE

CyberTraining: Implementation: Medium: Advanced Cyber Infrastructure Training in Policy Informatics

$1,016,000
Sukumar Ganapati · Florida International University · · FY2019 · CSE

SBIR Phase II: Sound-object Recognition for Real-time or Offline Systems

$1,016,000
Jason Leboeuf · Imagine Research, Inc · · FY2010 · TIP

BIGDATA: IA: Predictive Analytics of Driver's Engagement for Injury Prevention

$1,015,993
Bhupesh Shetty · Drexel University · · FY2018 · CSE

CCRI: ABR: Cognitive Hardware and Software Ecosystem Community Infrastructure (CHASE-CI)

$1,015,971
Larry L Smarr · University Of California-San Diego · · FY2021 · CSE

Clinical Development and Evaluation of a Deep Learning Approach to Improve Diagnostic Accuracy

$1,015,698
Ryan L Shelton · Photonicare, Inc. · R44 · FY2021 · DC

INSPIRE: Teaming Citizen Science with Machine Learning to Deepen LIGO's View of the Cosmos

$1,015,663
Vassiliki Kalogera · Northwestern University · · FY2015 · CSE

Methods development for "Omics" data

$1,015,616
Alison Motsinger-Reif · National Institute Of Environmental Health Sciences · ZIA · FY2023 · ES

Advancing Secondary Data Analysis: the ENIGMA Brain Injury Data Harmonization Initiative

$1,015,434
Frank Gerard Hillary · Pennsylvania State University, The · R61 · FY2020 · NS

Spatial functional genomics to identify regulators of the tumor microenvironment and cancer immunity

$1,015,368
Brian D Brown · Icahn School Of Medicine At Mount Sinai · U01 · FY2025 · CA

Identifying COVID-19 vaccine deserts using Machine Learning and Geospatial Analyses to target Community -engaged testing for vulnerable rural populations to prevent localized outbreaks

$1,015,320
Brian Hendricks · West Virginia University · U01 · FY2022 · MD

NCS-FO: How Ecology Induces Cognition: Paleontology, Machine Learning, and Neuroscience

$1,015,000
Malcolm A Maciver · Northwestern University · · FY2018 · ENG

Geostatistical Software for Non-Parametric Geostatistical Modeling of Uncertainty

$1,014,954
Pierre E Goovaerts · Biomedware · R44 · FY2025 · LM

MRI: Acquisition of the LanguageLens for Large-Scale Language Modeling

$1,014,815
David Wingate · Brigham Young University · · FY2022 · CSE

srvc-EHSR: Sysrev Version Control - Environmental and Health Related Systematic Reviews

$1,014,776
Thomas Luechtefeld · Insilica, Llc · R44 · FY2025 · ES

The role of the intestinal microbiome in cancer immunotherapy

$1,014,601
Marcel R M Van Den Brink · Beckman Research Institute/City Of Hope · R35 · FY2024 · CA

Bioformatics Core

$1,014,574
Mehdi Pirooznia · National Heart, Lung, And Blood Institute · ZIC · FY2017 · HL