| Movement recognition technology as a method of assessing spontaneous general movements in high risk infants C Marcroft, A Khan, ND Embleton, M Trenell, T Plötz Frontiers in neurology 5, 284, 2015 | 93 | 2015 |
| Optimising sampling rates for accelerometer-based human activity recognition A Khan, N Hammerla, S Mellor, T Plötz Pattern Recognition Letters 73, 33-40, 2016 | 86 | 2016 |
| HealthyOffice: Mood recognition at work using smartphones and wearable sensors A Zenonos, A Khan, G Kalogridis, S Vatsikas, T Lewis, M Sooriyabandara 2016 IEEE International Conference on Pervasive Computing and Communication …, 2016 | 70 | 2016 |
| Beyond activity recognition: skill assessment from accelerometer data A Khan, S Mellor, E Berlin, R Thompson, R McNaney, P Olivier, T Plötz Proceedings of the 2015 ACM international joint conference on pervasive and …, 2015 | 66* | 2015 |
| Occupancy monitoring using environmental & context sensors and a hierarchical analysis framework A Khan, J Nicholson, S Mellor, D Jackson, K Ladha, C Ladha, J Hand, ... | 62 | 2014 |
| How agile is the adaptive data rate mechanism of LoRaWAN? S Li, U Raza, A Khan 2018 IEEE Global Communications Conference (GLOBECOM), 206-212, 2018 | 43 | 2018 |
| Ball event recognition using HMM for automatic tennis annotation I Almajai, J Kittler, T de Campos, W Christmas, F Yan, D Windridge, ... 2010 IEEE International Conference on Image Processing, 1509-1512, 2010 | 21 | 2010 |
| Parkus: A novel vehicle parking detection system PE Carnelli, J Yeh, M Sooriyabandara, A Khan Twenty-Ninth IAAI Conference, 2017 | 20 | 2017 |
| Activity recognition for quality assessment of batting shots in cricket using a hierarchical representation A Khan, J Nicholson, T Plötz Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous …, 2017 | 19 | 2017 |
| Multilevel Chinese Takeaway Process and Label-Based Processes for Rule Induction in the Context of Automated Sports Video Annotation A Khan, D Windridge, J Kittler Cybernetics, IEEE Transactions on 44 (10), 1910-1923, 2014 | 18 | 2014 |
| Automatic correction of annotation boundaries in activity datasets by class separation maximization R Kirkham, A Khan, S Bhattacharya, N Hammerla, S Mellor, D Roggen, ... Proceedings of the 2013 ACM conference on Pervasive and ubiquitous computing …, 2013 | 18 | 2013 |
| Anomaly detection and knowledge transfer in automatic sports video annotation I Almajai, F Yan, T de Campos, A Khan, W Christmas, D Windridge, ... Detection and identification of rare audiovisual cues, 109-117, 2012 | 17 | 2012 |
| Angle-of-arrival estimation using an adaptive machine learning framework A Khan, S Wang, Z Zhu IEEE Communications Letters 23 (2), 294-297, 2018 | 16 | 2018 |
| Parkus 2.0: Automated cruise detection for parking availability inference M Jones, A Khan, P Kulkarni, P Carnelli, M Sooriyabandara Proceedings of the 14th EAI International Conference on Mobile and …, 2017 | 11 | 2017 |
| Dataset: Indoor Localization with Narrow-band, Ultra-Wideband, and Motion Capture Systems U Raza, A Khan, R Kou, T Farnham, T Premalal, A Stanoev, W Thompson Proceedings of the 2nd Workshop on Data Acquisition to Analysis, 34-36, 2019 | 8 | 2019 |
| A novel markov logic rule induction strategy for characterizing sports video footage D Windridge, J Kittler, T De Campos, F Yan, W Christmas, A Khan IEEE MultiMedia 22 (2), 24-35, 2015 | 8 | 2015 |
| A framework for automatic sports video annotation with anomaly detection and transfer learning TE De Campos, A Khan, F Yan, N FarajiDavar, D Windridge, J Kittler, ... Machine Learning and Cognitive Science, collocated with EUCOGIII, 2013 | 7 | 2013 |
| The advantage of computation offloading in multi-access edge computing R Singh, S Armour, A Khan, M Sooriyabandara, G Oikonomou 2019 Fourth International Conference on Fog and Mobile Edge Computing (FMEC …, 2019 | 6 | 2019 |
| Lattice-based anomaly rectification for sport video annotation A Khan, D Windridge, T de Campos, J Kittler, W Christmas 2010 20th International Conference on Pattern Recognition, 4372-4375, 2010 | 6 | 2010 |
| Standing on the Shoulders of Giants: AI-driven Calibration of Localisation Technologies A Khan, T Farnham, R Kou, U Raza, T Premalal, A Stanoev, W Thompson 2019 IEEE Global Communications Conference (GLOBECOM), 1-6, 2019 | 4 | 2019 |
Thomas PloetzGeorgia Institute of TechnologyVerified email at gatech.edu
