The effects of loss and latency on user performance in unreal tournament 2003® T Beigbeder, R Coughlan, C Lusher, J Plunkett, E Agu, M Claypool Proceedings of 3rd ACM SIGCOMM workshop on Network and system support for …, 2004 | 462 | 2004 |
The effect of latency on user performance in Warcraft III N Sheldon, E Girard, S Borg, M Claypool, E Agu Proceedings of the 2nd workshop on Network and system support for games, 3-14, 2003 | 253 | 2003 |
Automatic emotion detection in text streams by analyzing twitter data M Hasan, E Rundensteiner, E Agu International Journal of Data Science and Analytics 7, 35-51, 2019 | 170 | 2019 |
Emotex: Detecting emotions in twitter messages M Hasan, E Rundensteiner, E Agu Academy of Science and Engineering (ASE), USA,© ASE 2014, 2014 | 166 | 2014 |
Smartphone-based wound assessment system for patients with diabetes L Wang, PC Pedersen, DM Strong, B Tulu, E Agu, R Ignotz IEEE Transactions on Biomedical Engineering 62 (2), 477-488, 2014 | 159 | 2014 |
Area determination of diabetic foot ulcer images using a cascaded two-stage SVM-based classification L Wang, PC Pedersen, E Agu, DM Strong, B Tulu IEEE Transactions on Biomedical Engineering 64 (9), 2098-2109, 2016 | 156 | 2016 |
The smartphone as a medical device: Assessing enablers, benefits and challenges E Agu, P Pedersen, D Strong, B Tulu, Q He, L Wang, Y Li 2013 IEEE International Workshop of Internet-of-Things Networking and …, 2013 | 154 | 2013 |
Location Fingerprinting on Infrastructure 802.11 Wireless Local Area Networks (WLANs) using Locus A Taheri, A Singh, E Agu | 117 | 2004 |
Using hashtags as labels for supervised learning of emotions in twitter messages M Hasan, E Agu, E Rundensteiner ACM SIGKDD workshop on health informatics, New York, USA 34 (74), 100, 2014 | 82 | 2014 |
Smartphone inference of alcohol consumption levels from gait Z Arnold, D Larose, E Agu 2015 International Conference on Healthcare Informatics, 417-426, 2015 | 65 | 2015 |
Mobile extensions to RSVP DO Awduche, E Agu Proceedings of Sixth International Conference on Computer Communications and …, 1997 | 64 | 1997 |
Classifying depression in imbalanced datasets using an autoencoder-based anomaly detection approach W Gerych, E Agu, E Rundensteiner 2019 IEEE 13th International Conference on Semantic Computing (ICSC), 124-127, 2019 | 57 | 2019 |
An automatic assessment system of diabetic foot ulcers based on wound area determination, color segmentation, and healing score evaluation L Wang, PC Pedersen, DM Strong, B Tulu, E Agu, R Ignotz, Q He Journal of diabetes science and technology 10 (2), 421-428, 2016 | 45 | 2016 |
Performance evaluation of COVID-19 proximity detection using bluetooth LE signal Z Su, K Pahlavan, E Agu IEEE access 9, 38891-38906, 2021 | 43 | 2021 |
Moodable: On feasibility of instantaneous depression assessment using machine learning on voice samples with retrospectively harvested smartphone and social media data A Dogrucu, A Perucic, A Isaro, D Ball, E Toto, EA Rundensteiner, E Agu, ... Smart Health 17, 100118, 2020 | 43 | 2020 |
Characteristics of mobile web content PJ Timmins, S McCormick, E Agu, CE Wills 2006 1st IEEE Workshop on Hot Topics in Web Systems and Technologies, 1-10, 2006 | 41 | 2006 |
Powerspy: fine-grained software energy profiling for mobile devices KS Banerjee, E Agu Wireless Networks, Communications and Mobile Computing, 2005 International …, 2005 | 39 | 2005 |
Performance enhancement of TFRC in wireless ad hoc networks M Li, C Lee, E Agu, M Claypool, R Kinicki Proceedings of the 10th International Conference on Distributed Multimedia …, 2004 | 39 | 2004 |
Applying machine learning approaches to suicide prediction using healthcare data: overview and future directions ED Boudreaux, E Rundensteiner, F Liu, B Wang, C Larkin, E Agu, ... Frontiers in psychiatry 12, 707916, 2021 | 35 | 2021 |
Wound image analysis system for diabetics L Wang, PC Pedersen, D Strong, B Tulu, E Agu Medical Imaging 2013: Image Processing 8669, 572-585, 2013 | 35 | 2013 |