1. Deep Learning vs. Classical Machine Learning: A Comparison of Methods for Fluid Intelligence Prediction Guerdan, L*., Sun, P*., Rowland, C., Harrison, L., Tang, Z., Wergeles, N., and Shang, Y Springer Lecture Notes in Computer Science, 2019 [Abs]
  2. [NER]
    Extracting Motion-Related Subspaces from EEG in Mobile Brain/Body Imaging Studies Gehrke, L*., Guerdan, L*., and Gramman, K 9th International IEEE/EMBS Conference on Neural Engineering, 2019 [Abs] [PDF] [Slides]


  1. [DSC]
    TigerAware: An Innovative Mobile Survey and Sensor Data Collection and Analytics System Morrison, M., Guerdan, L., Kanugo, J., Trull, T., and Shang, Y. IEEE DSC, 2018 [PDF]


  1. Augmented Resource Allocation Framework for Disaster Response Coordination in Mobile Cloud Environments, Guerdan, L., Apperson, O., and Calyam, P 5th IEEE International Conference on Mobile Cloud Computing, Services, and Engineering 2017 [PDF] [Slides]


  1. ADA - Automatic Detection of Alcohol Usage for Mobile Ambulatory Assessment, Sun, P., Wergeles, N., Zhang, C., Guerdan, L., Trull, T., and Shang, Y IEEE International Conference on Smart Computing 2016