Sotabase

Career

· Doctor of Philosophy, KU Leuven2011–
· Research Manager, KU Leuven2011–
· Master of Artificial Intelligence, KU Leuven2006–
· Master of Electrotechnical Engineering, Micro-electronics, KU Leuven2005–

Publications (302)

Deep Learning Models for Wireless Signal Classification With Distributed Low-Cost Spectrum Sensors
IEEE Transactions on Cognitive Communications and Networking · 2017
701
cited
Range and coexistence analysis of long range unlicensed communication
International Conference on Telecommunications · 2016
233
cited
Power and spreading factor control in low power wide area networks
2017 IEEE International Conference on Communications (ICC) · 2017
186
cited
Machine learning with a reject option: a survey
Machine-mediated learning · 2021
161
cited
Skolemization for Weighted First-Order Model Counting
International Conference on Principles of Knowledge Representation and Reasoning · 2013
105
cited
SessionShield: Lightweight Protection against Session Hijacking
Engineering Secure Software and Systems · 2011
104
cited
Bitsquatting: exploiting bit-flips for fun, or profit?
The Web Conference · 2013
92
cited
A 90 nm CMOS, 6µW Power-Proportional Acoustic Sensing Frontend for Voice Activity Detection
IEEE J. Solid State Circuits · 2016
86
cited
LS-SVM based spectral clustering and regression for predicting maintenance of industrial machines
Engineering applications of artificial intelligence · 2015
83
cited
Unsupervised Wireless Spectrum Anomaly Detection With Interpretable Features
IEEE Transactions on Cognitive Communications and Networking · 2019
76
cited
Semi-Supervised Anomaly Detection with an Application to Water Analytics
Industrial Conference on Data Mining · 2018
69
cited
SAIFE: Unsupervised Wireless Spectrum Anomaly Detection with Interpretable Features
International Symposium on Dynamic Spectrum Access Networks · 2018
62
cited
A general anomaly detection framework for fleet-based condition monitoring of machines
Mechanical systems and signal processing · 2019
59
cited
ProbLog2: Probabilistic Logic Programming
ECML/PKDD · 2015
59
cited
Fatigue Prediction in Outdoor Runners Via Machine Learning and Sensor Fusion
Knowledge Discovery and Data Mining · 2018
54
cited
Pattern-Based Anomaly Detection in Mixed-Type Time Series
ECML/PKDD · 2019
54
cited
Machine learning and data mining for sports analytics
2013
52
cited
Towards digesting the alphabet-soup of statistical relational learning
2008
49
cited
24.2 Context-aware hierarchical information-sensing in a 6μW 90nm CMOS voice activity detector
IEEE International Solid-State Circuits Conference · 2015
48
cited
Code Generation Using Machine Learning: A Systematic Review
IEEE Access · 2022
48
cited
Sotabase