Presentation

Our adventure with AI methods in orthopedics: lessons learned

USM Speaker Series on AI and Computation Our adventure with AI methods in orthopedics: lessons learned Hilal Maradit Kremers, MD Mayo Clinic, Rochester, MN When: October 7th (Thursday), 4-5pm Zoom Link: https://maine.zoom.us/my/usm.datascience Abstract Total joint arthroplasty (TJA) are the most common and the fastest-growing surgeries in the US, however, the evidence for TJA practice and […]

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iLunch Talk (April 23) Lattice-Based Contextual Integrity Analysis of Social Network Privacy Policies

Lattice-Based Contextual Integrity Analysis of Social Network Privacy Policies When: Friday April 23, 12 noon – 1:00 pm Where: Zoom Meeting ID:  863 9169 3528   Password: 393849 Who: Stephen Kaplan, Dylan Bulmer, Avery Gosselin Affiliation: PERC_Lab, SCIS Abstract: Use of online social networks (OSNs) is increasingly prevalent in modern social circles, motivating consumers to further integrate themselves into the ecosystems of social media […]

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 iLunch Talk (Dec 4) Engineering Bio-Inspired Materials

What: Engineering Bio-Inspired Materials When: Friday December 4, 12 noon – 1:00 pm Where: Zoom Meeting ID:  868 1226 1972      Password: 847943 Who: Caitlin Howell Affiliation: Assistant Professor of Biomedical Engineering at the University of Maine Abstract: Over millions of year, nature has developed elegant solutions to a wide variety of problems. Thanks in part to recent advances in materials science, we are […]

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iLunch Talk (Nov 20) A Concentration of Measure Approach to Social Network Deanonymization

What: A Concentration of Measure Approach to Social Network Deanonymization  When: Friday November 20, 12 noon – 1:00 pm Where: Zoom Meeting ID:  860 2707 4223      Password: 198846 Who: Farhad Shirani Affiliation: Assistant Professor at the Electrical and Computer Engineering Department at North Dakota State University Abstract: As web tracking technologies become more sophisticated and pervasive, there is a critical need to understand […]

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Robert Powell MS Thesis Defense in Computer Science

Date:  Monday, November 23rd Time: 12pm noon Zoom Connection Info: https://maine.zoom.us/j/89376362608?pwd=Q0h4NkNhQUhJTjA5VXNDVU5BVVNPdz09 Meeting ID: 893 7636 2608 Password:  059076 Title: Approximating first order logic ontologies in OWL Abstract:  With the amount of data collected everyday ever expanding, techniques which allow computers to semantically understand data are growing in importance. Ontologies are a tool to describe the […]

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 iLunch Talk (Nov 13) Role of Prediction Models in Object Tracking  

What: Role of Prediction Models in Object Tracking When: Friday November 13, 12 noon – 1:00 pm Where: Zoom Meeting ID: 862 4045 8908  Password: 578745 Who: Suren Kumar Affiliation: Senior Applied Scientist at Amazon Abstract: Estimation of a time-varying state such as the position of cars around a self-driving car, measuring a drone’s pose using cameras, the temperature at a location, is […]

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iLunch Talk (Nov 6) Deep Learning with LIDAR and its Vulnerabilities

What: Deep Learning with LIDAR and its Vulnerabilities  When: Friday November 6, 12 noon – 1:00 pm Where: Zoom Meeting ID: 899 1138 2631  Password: 206904 Who: Theodore Nowak Affiliation: Data Scientist within the Data Science and Analytics group at Pacific Northwest National Laboratory (PNNL). Abstract: As Autonomous Vehicles and other Robotic systems become increasingly ubiquitous, so too do the Light Intensity Detection And […]

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 iLunch Talk (Oct 23):  Fundamental Limits of Graph Convolutional Networks of Moderate Depth 

What: Fundamental Limits of Graph Convolutional Networks of Moderate Depth  When: Friday October 23, 12 noon – 1:00 pm Where: Zoom Meeting ID: 894 9387 1010  Password: 119468 Who: Abram Manger Affiliation: Assistant Professor in the Department of Computer Science at the University at Albany, SUNY. Abstract: Graph convolutional networks (GCNs) are a widely used method for graph representation learning. To elucidate the capabilities and […]

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 iLunch Talk (Oct 16): Modelling Connectivity: An Alternative Approach to Neural Network Compression  

What: Modelling Connectivity: An Alternative Approach to Neural Network Compression  When: Friday October 16, 12 noon – 1:00 pm Where: Zoom Meeting ID: 854 8826 5959  Password: 986329 Who: Madan R. Ganesh Affiliation: PhD Candidate at the University of Michigan and Sekeh Lab (UMaine). Abstract: We all know that larger and deeper neural network models are the modus operandi in tackling real-world problems. However, the focus on […]

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