| The SINS Database for Detection of Daily Activities in a Home Environment Using an Acoustic Sensor Network. G Dekkers, S Lauwereins, B Thoen, MW Adhana, H Brouckxon, ... DCASE, 32-36, 2017 | 142 | 2017 |
| A 90 nm CMOS, $6\{\upmu {\text {W}}} $ Power-Proportional Acoustic Sensing Frontend for Voice Activity Detection KMH Badami, S Lauwereins, W Meert, M Verhelst IEEE Journal of Solid-State Circuits 51 (1), 291-302, 2015 | 128 | 2015 |
| Vocell: A 65-nm Speech-Triggered Wake-Up SoC for 10- W Keyword Spotting and Speaker Verification JSP Giraldo, S Lauwereins, K Badami, M Verhelst IEEE Journal of Solid-State Circuits 55 (4), 868-878, 2020 | 89 | 2020 |
| 24.2 Context-aware hierarchical information-sensing in a 6μW 90nm CMOS voice activity detector K Badami, S Lauwereins, W Meert, M Verhelst 2015 IEEE International Solid-State Circuits Conference-(ISSCC) Digest of …, 2015 | 57 | 2015 |
| 18μW SoC for near-microphone keyword spotting and speaker verification JSP Giraldo, S Lauwereins, K Badami, H Van Hamme, M Verhelst 2019 Symposium on VLSI Circuits, C52-C53, 2019 | 52 | 2019 |
| Optimized hierarchical cascaded processing K Goetschalckx, B Moons, S Lauwereins, M Andraud, M Verhelst IEEE Journal on Emerging and Selected Topics in Circuits and Systems 8 (4 …, 2018 | 31 | 2018 |
| A fully configurable non-linear mixed-signal interface for multi-sensor analytics JC Pena-Ramos, K Badami, S Lauwereins, M Verhelst IEEE Journal of Solid-State Circuits 53 (11), 3140-3149, 2018 | 19 | 2018 |
| Saving energy in WSNs for acoustic surveillance applications while maintaining QoS B Thoen, G Ottoy, F Rosas, S Lauwereins, S Rajendran, L De Strycker, ... 2017 IEEE Sensors Applications Symposium (SAS), 1-6, 2017 | 16 | 2017 |
| Ultra-low-power voice-activity-detector through context-and resource-cost-aware feature selection in decision trees S Lauwereins, W Meert, J Gemmeke, M Verhelst 2014 IEEE International Workshop on Machine Learning for Signal Processing …, 2014 | 14 | 2014 |
| The effect of headgear on upper third molars: a retrospective longitudinal study A Miclotte, B Grommen, S Lauwereins, M Cadenas de Llano-Pérula, ... European Journal of Orthodontics 39 (4), 426-432, 2017 | 13 | 2017 |
| Optimal resource usage in ultra-low-power sensor interfaces through context-and resource-cost-aware machine learning S Lauwereins, K Badami, W Meert, M Verhelst Neurocomputing 169, 236-245, 2015 | 11 | 2015 |
| Context-and cost-aware feature selection in u S Lauwereins, K Badami, W Meert, M Verhelst Citation Steven Lauwereins, Komail Badami, Wannes Meert, Marian Verhelst …, 2014 | 11 | 2014 |
| Mixed-signal programmable non-linear interface for resource-efficient multi-sensor analytics K Badami, JCP Ramos, S Lauwereins, M Verhelst 2018 IEEE International Solid-State Circuits Conference-(ISSCC), 344-346, 2018 | 9 | 2018 |
| Exploiting system configurability towards dynamic accuracy-power trade-offs in sensor front-ends OLI Galindez, K Badami, VR Pamula, S Lauwereins, W Meert, M Verhelst 2016 50th Asilomar Conference on Signals, Systems and Computers, 1027-1031, 2016 | 4 | 2016 |
| A multi-layered energy consumption model for smart wireless acoustic sensor networks G Dekkers, F Rosas, S Lauwereins, S Rajendran, S Pollin, B Vanrumste, ... arXiv preprint arXiv:1812.06672, 2018 | 1 | 2018 |
| Exploiting System Configurability towards Dynamic Accuracy-Power Trade-offs in Sensor Front-ends LI Galindez Olascoaga, K Badami, VR Pamula, S Lauwereins, W Meert, ... 2016 50TH ASILOMAR CONFERENCE ON SIGNALS, SYSTEMS AND COMPUTERS, 1027-1031, 2016 | | 2016 |
| Ultra-Low-Power Voice-Activity-Detection Throug S Lauwereins, W Meert, J Gemmeke, M Verhelst | | 2014 |
| SPECIAL ISSUE ON THE 2019 SYMPOSIUM ON VLSI CIRCUITS U Nurmetov, T Fritz, E Müllner, CM Dougherty, M Szelong, F Kreupl, ... | | |
