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48,453 grants matching “machine learning”
Cerebrovascular Reserve Imaging with Simultaneous PET/MRI Using Arterial Spin Labeling and Deep Learning
$565,941Gregory George Zaharchuk · Stanford University · R01 · FY2020 · EB
IN TRYING TO UNDERSTAND PLANET FORMATION ONE OF THE MOST POWERFUL TOOLS WE HAVE IS TO COMPARE THE DISTRIBUTIONS OF THE PHYSICAL AND ORBITAL PROPERTIES OF THE PLANETS DISCOVERED WITH THOSE PREDICTED BY FORMATION AND EVOLUTIONARY MODELS. FOR THIS TO BE EFFECTIVE WE NEED A COMPLETE CENSUS OF PLANETARY SYSTEMS AT ALL MASSES AND ORBITAL SEPARATIONS. BUT NO ONE SURVEY TECHNIQUE IS SENSITIVE TO THE WHOLE PARAMETER SPACE. KEPLER PROVIDED A LANDMARK CATALOG OF PLANETS AT SMALL ORBITAL RADII AROUND THEIR HOST STARS COMPLEMENTING THE RESULTS OF OTHER MOSTLY GROUND-BASED PROJECTS BUT THERE IS A SIGNIFICANT GAP IN THE DETECTED POPULATION OF LOW-MASS PLANETS AT SEPARATIONS OF FEW-10 AU WHERE MOST DETECTION TECHNIQUES SUFFER A DRAMATIC DROP IN EFFICIENCY AND/OR SENSITIVITY. MICROLENSING OFFERS A WAY TO BRIDGE THIS GAP AND SO IS ONE OF THE GOALS OF THE FORTHCOMING WFIRST MISSION. PREPARATORY WORK FOR THE WFIRST MICROLENSING SURVEY IS ALREADY UNDERWAY. A MAJOR ELEMENT OF IT WILL BE TO DEVELOP TOOLS CAPABLE OF ANALYZING THE LARGE RESULTING DATASET AND DETECTING MICROLENSING EVENTS WITHIN WHILE CAREFULLY DISTINGUISHING BETWEEN FALSE POSITIVES AND SYSTEMATICS. THIS PRESENTS A NUMBER OF CHALLENGES SINCE THE ANALYSIS OF JUST ONE BINARY LENSING EVENT CAN BE COMPUTATIONALLY INTENSIVE AND THERE IS A MARKED SHORTAGE OF PEOPLE (~10) IN THE US WHO SPECIALIZE IN THIS SUBJECT. EXISTING SOFTWARE TOOLS FOR THIS TASK ARE MOSTLY PROPRIETARY AND HAVE LIMITATIONS WHICH MEAN THEY WILL NOT SCALE TO PROCESS THE WFIRST DATASET IN A TIMELY MANNER. WE WILL ADDRESS THIS CHALLENGE BY DEVELOPING A TWO-STAGE DETECTION AND CLASSIFICATION SYSTEM FOR THE WFIRST BULGE SURVEY DATA USING A COMBINATION OF MACHINE LEARNING TECHNIQUES. THE FIRST STAGE BUILDS ON PROTOTYPE RANDOM-FOREST MICROLENSING/VARIABLE STAR DETECTION SOFTWARE ALREADY DEVELOPED BY OUR TEAM TO DISTINGUISH ASTROPHYSICAL SIGNALS FROM SYSTEMATICS OR FALSE POSITIVE DETECTIONS. WE PROPOSE TO COMBINE THIS WITH A SECOND STAGE WHICH WILL LEVERAGE RECENT PROGRESS IN DEEP LEARNING SOFTWARE TO ANALYZE THE LIGHTCURVES OF BINARY LENSING EVENTS AND IDENTIFY ALL POSSIBLE MODELS WHICH ARE CONSISTENT WITH THE DATA. THIS WILL ADDRESS A LONG-STANDING PROBLEM IN THE MODELING OF BINARY LENSES FOR WHICH THERE ARE A NUMBER OF KNOWN DEGENERACIES. THE EFFECTIVENESS OF MACHINE LEARNING SYSTEMS DEPENDS CRITICALLY ON THE QUALITY AND QUANTITY OF THE DATA USED TO TRAIN THE SYSTEM. WE WILL TO LEVERAGE A NUMBER OF PUBLIC PHOTOMETRIC CATALOGS TO HELP TO TRAIN THE SYSTEM AND APPLY IT TO ANALYZE DATA FROM THE ONGOING MICROLENSING KEY PROJECT AT LCO ROME/REA A HIGH CADENCE TRI-BAND OPTICAL SURVEY FOR MICROLENSING EVENTS IN THE GALACTIC BULGE. OUR TEAM WAS AWARDED 2650 HRS/YR FOR 3YRS STARTING IN 2017 FOR THIS SURVEY WHICH IS CURRENTLY IN ITS SECOND OBSERVING SEASON. WE WILL RELEASE A COMPLETE CATALOG OF THE IMAGING AND PHOTOMETRY FROM ROME/REA FOR COMMUNITY USE THROUGH A NASA ARCHIVE. WE WILL ALSO CONDUCT SIMULATED-EVENT INJECTION TESTS TO EVALUATE THE ALGORITHM'S PERFORMANCE AND DETECTION STATISTICS. ONCE THE ALGORITHM IS APPLIED TO WFIRST DATA THIS ANALYSIS WILL ENABLE US TO CALCULATE THE TRUE PLANET FREQUENCY. ALL SOFTWARE DEVELOPED THROUGH THIS PROPOSAL WILL BE THOROUGHLY TESTED AND DOCUMENTED AHEAD OF ITS PUBLIC RELEASE FOR COMMUNITY USE. THIS PROPOSAL IS HIGHLY RESPONSIVE TO THE AIMS OF THE EXOPLANETS RESEARCH PROGRAM SINCE IT WILL DISCOVER AND CHARACTERIZE PLANETARY SYSTEMS AND ADVANCE PREPARATIONS FOR THE WFIRST MISSION. IT WILL ALSO PROVIDE A VALUABLE RESOURCE FOR A WEALTH OF STELLAR ASTROPHYSICS.
$565,916Las Cumbres Observatory Global Telescope Network, Inc. · · FY2020 · National Aeronautics and Space Administration
Increasing Nodule Detection in Lung Cancer by Non-Conscious Detection of "Missed" Nodules and Machine Learning
$565,881Gregory James Digirolamo · Univ Of Massachusetts Med Sch Worcester · R01 · FY2025 · CA
CAREER: Flexible Learning for Natural Language Processing
$565,812Noah A Smith · Carnegie Mellon University · · FY2011 · CSE
CAREER: General-Purpose Stochastic Computing for Ultra-Low-Power Hardware Devices
$565,765Joshua San Miguel · University Of Wisconsin-Madison · · FY2021 · CSE
Mining Social Media Messages for HIV Testing and Prevention Communication
$565,763Dolores Albarracin · University Of Illinois At Urbana-Champaign · R01 · FY2019 · MH
Infant Vocal Communication: Typical Development and Autism Risk
$565,736D. Kimbrough Oller · University Of Memphis · R01 · FY2016 · DC
CPS: Medium: Collaborative Research: Active Shooter Tracking & Evacuation Routing for Survival (ASTERS)
$565,696Subhadeep Chakraborty · University Of Tennessee Knoxville · · FY2019 · CSE
QT prolonging medications and sudden cardiac death among individuals on hemodialysis
$565,647Jennifer E Flythe · Univ Of North Carolina Chapel Hill · R01 · FY2023 · HL
CAREER: Transforming Machine Learning Models Developed in Labs to Manufacturing Plants for In-Process Quality Prediction
$565,646Peng Wang · University Of Kentucky Research Foundation · · FY2023 · ENG
Cross-Cutting Research Workshops in Intelligent Information Systems
$565,630Frederick Jelinek · Johns Hopkins University · · FY2009 · CSE
Automated Assessment of Infant Sleep/Wake States, Physical Activity, and Household Noise Using a Multimodal Wearable Device and Deep Learning Models
$565,565Nancy L McElwain · University Of Illinois At Urbana-Champaign · R01 · FY2025 · DK
A New J-Resolved MRSI Framework for Whole-Brain Simultaneous Metabolite and Neurotransmitter Mapping
$565,546Fan Lam · University Of Illinois At Urbana-Champaign · R21 · FY2020 · EB
An ensemble framework for regulatory variant prediction.
$565,544Dongwon Lee · Boston Children'S Hospital · R01 · FY2024 · HG
A Pragmatic Latent Variable Learning Approach Aligned with Clinical Practice
$565,519Booil Jo · Stanford University · R01 · FY2020 · MH
Functional genetic variants in substance use disorders
$565,488Howard J Edenberg · Indiana University Indianapolis · R01 · FY2022 · DA
Functional genetic variants in substance use disorders
$565,487Howard J Edenberg · Indiana University Indianapolis · R01 · FY2025 · DA
Functional genetic variants in substance use disorders
$565,487Howard J Edenberg · Indiana University Indianapolis · R01 · FY2024 · DA
Developing and validating EHR-integrated readmission risk prediction models for hospitalized patients with diabetes
$565,450Daniel J Rubin · Temple Univ Of The Commonwealth · R01 · FY2022 · DK
Developing a clinical decision support tool for the identification, diagnosis, and treatment of critical illness in hospitalized patients
$565,408Matthew Michael Churpek · University Of Wisconsin-Madison · R01 · FY2024 · HL
Understanding and Improving Inequities in Palliative Care for Older Adults with Advanced Dementia and Limited-English Proficiency: A Mixed-Methods Evaluation
$565,388Rashmi K. Sharma · University Of Washington · R01 · FY2024 · AG
Rules for penetrating the Gram-negative bacterial envelope
$565,371Yinan Wei · University Of Kentucky · R56 · FY2018 · AI
Human Virome Characterization Center for the Oral-Gut-Brain Axis
$565,330Sara Javornik Cregeen · University Of California Los Angeles · U54 · FY2025 · AG
(PQ2) PD-L1/PD-1 signals in aged hosts undergoing cancer immunotherapy
$565,310Tyler J. Curiel · University Of Texas Hlth Science Center · R01 · FY2021 · CA
Crossmodal Correspondences Between Visual and Auditory Features
$565,302Krishnankutty Sathian · Emory University · R01 · FY2016 · EY