14 citations · 26 across the 5 of their papers we have counts for
5 papers
Knowledge transfer between bridges for drive-by monitoring using adversarial and multi-task learning
Jingxiao Liu, Mario Bergés, Jacobo Bielak +1
Monitoring bridge health using the vibrations of drive-by vehicles has various benefits, such as low cost and no need for direct installation or on-site maintenance of equipment on…
LaNet: Real-time Lane Identification by Learning Road SurfaceCharacteristics from Accelerometer Data
Madhumitha Harishankar, Jun Han, Sai Vineeth Kalluru Srinivas +7
The resolution of GPS measurements, especially in urban areas, is insufficient for identifying a vehicle's lane. In this work, we develop a deep LSTM neural network model LaNet tha…
Knowledge Transfer between Buildings for Seismic Damage Diagnosis through Adversarial Learning
Susu Xu, Hae Young Noh
Automated structural damage diagnosis after earthquakes is important for improving the efficiency of disaster response and rehabilitation. In conventional data-driven frameworks wh…
O-MedAL: Online Active Deep Learning for Medical Image Analysis
Asim Smailagic, Pedro Costa, Alex Gaudio +9
Active Learning methods create an optimized labeled training set from unlabeled data. We introduce a novel Online Active Deep Learning method for Medical Image Analysis. We extend…
An Incentive Mechanism for Crowd Sensing with Colluding Agents
Susu Xu, Weiguang Mao, Yue Cao +2
Vehicular mobile crowd sensing is a fast-emerging paradigm to collect data about the environment by mounting sensors on vehicles such as taxis. An important problem in vehicular cr…