Steven Lauwereins

According to our database, Steven Lauwereins authored at least 15 papers between 2014 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Diversity by Chance: Rethinking the Need for Determinantal Point Processes in Active Learning.

Brecht Deprez, Michiel Vandecappelle, Steven Lauwereins, Toon Goedemé

Proceedings of the 21st International Conference on Computer Vision Theory and Applications, 2026

2024

Enabling Remote Software and Firmware Updates for Bogie Control and Safety Systems.

Jens Vankeirsbilck, Steven Lauwereins, Jeroen Boydens

Proceedings of the 19th European Dependable Computing Conference, 2024

2020

Vocell: A 65-nm Speech-Triggered Wake-Up SoC for 10- $\mu$ W Keyword Spotting and Speaker Verification.

Juan Sebastian Piedrahita Giraldo, Steven Lauwereins, Komail M. H. Badami, Marian Verhelst

IEEE J. Solid State Circuits, 2020

2019

18μW SoC for near-microphone Keyword Spotting and Speaker Verification.

Juan Sebastian Piedrahita Giraldo, Steven Lauwereins, Komail M. H. Badami, Hugo Van hamme, Marian Verhelst

Proceedings of the 2019 Symposium on VLSI Circuits, Kyoto, Japan, June 9-14, 2019, 2019

2018

A Fully Configurable Non-Linear Mixed-Signal Interface for Multi-Sensor Analytics.

Juan Carlos Pena Ramos, Komail M. H. Badami, Steven Lauwereins, Marian Verhelst

IEEE J. Solid State Circuits, 2018

Optimized Hierarchical Cascaded Processing.

Koen Goetschalckx, Bert Moons, Steven Lauwereins, Martin Andraud, Marian Verhelst

IEEE J. Emerg. Sel. Topics Circuits Syst., 2018

A multi-layered energy consumption model for smart wireless acoustic sensor networks.

Gert Dekkers, Fernando Rosas, Steven Lauwereins, Sreeraj Rajendran, Sofie Pollin, Bart Vanrumste, Toon van Waterschoot, Marian Verhelst, Peter Karsmakers

CoRR, 2018

Mixed-signal programmable non-linear interface for resource-efficient multi-sensor analytics.

Komail M. H. Badami, Juan Carlos Pena Ramos, Steven Lauwereins, Marian Verhelst

Proceedings of the 2018 IEEE International Solid-State Circuits Conference, 2018

2017

The SINS Database for Detection of Daily Activities in a Home Environment Using an Acoustic Sensor Network.

Gert Dekkers, Steven Lauwereins, Bart Thoen, Mulu Weldegebreal Adhana, Henk Brouckxon, Bertold Van den Bergh, Toon van Waterschoot, Bart Vanrumste, Marian Verhelst, Peter Karsmakers

Proceedings of the Workshop on Detection and Classification of Acoustic Scenes and Events, 2017

2016

A 90 nm CMOS, 6µW Power-Proportional Acoustic Sensing Frontend for Voice Activity Detection.

Komail M. H. Badami, Steven Lauwereins, Wannes Meert, Marian Verhelst

IEEE J. Solid State Circuits, 2016

Exploiting system configurability towards dynamic accuracy-power trade-offs in sensor front-ends.

Laura Isabel Galindez Olascoaga, Komail M. H. Badami, V. Rajesh Pamula, Steven Lauwereins, Wannes Meert, Marian Verhelst

Proceedings of the 50th Asilomar Conference on Signals, Systems and Computers, 2016

2015

Optimal resource usage in ultra-low-power sensor interfaces through context- and resource-cost-aware machine learning.

Steven Lauwereins, Komail M. H. Badami, Wannes Meert, Marian Verhelst

Neurocomputing, 2015

24.2 Context-aware hierarchical information-sensing in a 6μW 90nm CMOS voice activity detector.

Komail M. H. Badami, Steven Lauwereins, Wannes Meert, Marian Verhelst

Proceedings of the 2015 IEEE International Solid-State Circuits Conference, 2015

2014

Ultra-low-power voice-activity-detector through context- and resource-cost-aware feature selection in decision trees.

Steven Lauwereins, Wannes Meert, Jort F. Gemmeke, Marian Verhelst

Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2014

Context- and cost-aware feature selection in ultra-low-power sensor interfaces.

Steven Lauwereins, Komail M. H. Badami, Wannes Meert, Marian Verhelst

Proceedings of the 22th European Symposium on Artificial Neural Networks, 2014