Deep Neural Networks for Choice Analysis
C2SMART Center Viz Lab 6 Metrotech Center, Room 460, BrooklynThis presentation introduces a deep choice framework that synergizes DNNs and DCMs to model individual travel decision.
This presentation introduces a deep choice framework that synergizes DNNs and DCMs to model individual travel decision.
We show how to stabilize a polynomial reaction diffusion system using boundary control, integration by parts, completing the square and an infinite dimensional extension of Al'brekht's method. Presented by Alfred
C2SMARTER welcomes new and returning transportation students to the Fall 2023 academic year with a kick-off event. Learn about C2SMARTER, meet the faculty, and see the space. Come learn more
Instructor: Haggai D. Davis, III, New York University Hands-on exercise: Yes Beginner level: No prior experience required. Schedule: Friday Oct 13th, 11:30am-12:30pm Description: Machine learning is an incredibly broad term
Instructor: Vidisha Chowdhury, University of Pennsylvania & Philippe Schicker, Carnegie Mellon University Hands-on exercise: Yes Beginner level: No prior experience required. Schedule: Friday October 20th, 12-1 pm Description: Google Earth
Instructor: Yuhao Liu, NYU Shanghai Hands-on exercise: Yes Beginner level: No prior experience required. Schedule: Friday Oct 27th, 12-1pm Description: This course is designed to equip the audience with the
C2SMARTER'S Dr. Jingqin Gao will moderate a discussion with Prof. Gabriela Gongora-Svartzman from Carnegie Mellon University. In this insightful fireside talk, we explore the synergy between data-driven careers, industry, and
Instructor: Vivian Otieno, Texas Southern University Hands-on exercise: Yes Beginner level: No prior experience required. Schedule: Friday November 10th, 12-1pm Description: Essentials of Data Acquisition for Transportation Analysis involves the
Chris is a transportation planning professional with over 10 years of experience in the industry. He has led both regional and statewide transportation planning efforts, as well as managed several
Instructor: Ziyue Feng, New York University Hands-on exercise: Yes Beginner level: No prior experience required. Schedule: Thursday, March 28th, 12:00 pm -1:00 pm ET Description: Databases have become indispensable in
Instructor: Hannah Bonestroo, New York University Hands-on exercise: Yes Beginner level: No prior experience required. Basic website development knowledge is preferred. Schedule: Thursday, April 18th, 12:00 pm -1:00 pm ET
Instructor: Komal Gulati, North Carolina A&T State University Hands-on exercise: Yes Beginner level: Basic GIS and AI knowledge is preferred. Schedule: Thursday, April 25th, 1:00 pm -2:00 pm ET Description: