| Kinect depth sensor evaluation for computer vision applications MR Andersen, T Jensen, P Lisouski, AK Mortensen, MK Hansen, ... Aarhus University, 1-37, 2012 | 305 | 2012 |
| Temporal feature integration for music genre classification A Meng, P Ahrendt, J Larsen, LK Hansen IEEE Transactions on Audio, Speech, and Language Processing 15 (5), 1654-1664, 2007 | 213 | 2007 |
| Development of a real-time computer vision system for tracking loose-housed pigs P Ahrendt, T Gregersen, H Karstoft Computers and Electronics in Agriculture 76 (2), 169-174, 2011 | 168 | 2011 |
| Weight prediction of broiler chickens using 3D computer vision AK Mortensen, P Lisouski, P Ahrendt Computers and Electronics in Agriculture 123, 319-326, 2016 | 151 | 2016 |
| Improving music genre classification by short time feature integration A Meng, P Ahrendt, J Larsen Proceedings.(ICASSP'05). IEEE International Conference on Acoustics, Speech …, 2005 | 95 | 2005 |
| The multivariate gaussian probability distribution P Ahrendt Technical University of Denmark, Tech. Rep, 203, 2005 | 95 | 2005 |
| Trends in robotic sensor technologies for fruit harvesting: 2010-2015 A Zujevs, V Osadcuks, P Ahrendt Procedia Computer Science 77, 227-233, 2015 | 69 | 2015 |
| Automatic behaviour analysis system for honeybees using computer vision GJ Tu, MK Hansen, P Kryger, P Ahrendt Computers and Electronics in Agriculture 122, 10-18, 2016 | 68 | 2016 |
| Decision time horizon for music genre classification using short time features P Ahrendt, A Meng, J Larsen 2004 12th European Signal Processing Conference, 1293-1296, 2004 | 43 | 2004 |
| Novel stretch-sensor technology allows quantification of adherence and quality of home-exercises: a validation study MS Rathleff, T Bandholm, P Ahrendt, JL Olesen, K Thorborg British journal of sports medicine 48 (8), 724-728, 2014 | 35 | 2014 |
| Measurement adherence in the blood pressure self-measurement room S Wagner, NH Buus, B Jespersen, P Ahrendt, OW Bertelsen, ... TELEMEDICINE and e-HEALTH 19 (11), 826-833, 2013 | 34 | 2013 |
| Co-occurrence models in music genre classification P Ahrendt, J Larsen, C Goutte 2005 IEEE Workshop on Machine Learning for Signal Processing, 247-252, 2005 | 34 | 2005 |
| Towards cognitive component analysis LK Hansen, P Ahrendt, J Larsen AKRR’05-International and Interdisciplinary Conference on Adaptive Knowledge …, 2005 | 30 | 2005 |
| Dynamic navicular motion measured using a stretch sensor is different between walking and running, and between over-ground and treadmill conditions CJ Barton, SL Kappel, P Ahrendt, O Simonsen, MS Rathleff Journal of Foot and Ankle Research 8, 1-8, 2015 | 29 | 2015 |
| A novel method for measuring in-shoe navicular drop during gait SL Kappel, MS Rathleff, D Hermann, O Simonsen, H Karstoft, P Ahrendt Sensors 12 (9), 11697-11711, 2012 | 26 | 2012 |
| Music genre classification systems-a computational approach P Ahrendt Technical University of Denmark, 2006 | 24 | 2006 |
| Music Genre Classification using the multivariate AR feature integration model P Ahrendt, A Meng Extended Abstract, 2005 | 14 | 2005 |
| Reliable blood pressure self-measurement in the obstetric waiting room S Wagner, CH Kamper, NH Rasmussen, P Ahrendt, TS Toftegaard, ... Methods of Information in Medicine 53 (03), 225-234, 2014 | 13 | 2014 |
| Vibration signatures in ball bearings as a function of lubricant viscosity ratio κ, under alternating lubrication conditions MO Jakobsen, ES Herskind, K Bjerge, P Ahrendt, CF Pedersen, ... Tribology International 156, 106840, 2021 | 8 | 2021 |
| Motion analysis of optically trapped particles and cells using 2D Fourier analysis MV Kristensen, P Ahrendt, TB Lindballe, OHA Nielsen, AP Kylling, ... Optics express 20 (3), 1953-1962, 2012 | 7 | 2012 |
Pavel LisouskiRadiobotics, Aarhus UniversityVerified email at radiobotics.com
