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2020 – today
- 2021
[j4]Utku Ozbulak
, Baptist Vandersmissen, Azarakhsh Jalalvand, Ivo Couckuyt, Arnout Van Messem, Wesley De Neve:
Investigating the significance of adversarial attacks and their relation to interpretability for radar-based human activity recognition systems. Comput. Vis. Image Underst. 202: 103111 (2021)- [i1]Utku Ozbulak, Baptist Vandersmissen, Azarakhsh Jalalvand, Ivo Couckuyt, Arnout Van Messem, Wesley De Neve:
Investigating the significance of adversarial attacks and their relation to interpretability for radar-based human activity recognition systems. CoRR abs/2101.10562 (2021) - 2020
- [j3]Baptist Vandersmissen, Nicolas Knudde, Azarakhsh Jalalvand, Ivo Couckuyt, Tom Dhaene, Wesley De Neve:
Indoor human activity recognition using high-dimensional sensors and deep neural networks. Neural Comput. Appl. 32(16): 12295-12309 (2020)
2010 – 2019
- 2018
- [j2]Baptist Vandersmissen, Nicolas Knudde, Azarakhsh Jalalvand, Ivo Couckuyt, André Bourdoux, Wesley De Neve, Tom Dhaene:
Indoor Person Identification Using a Low-Power FMCW Radar. IEEE Trans. Geosci. Remote. Sens. 56(7): 3941-3952 (2018) - [c10]Vincent Polfliet, Nicolas Knudde, Baptist Vandersmissen, Ivo Couckuyt, Tom Dhaene:
Structured Inference Networks Using High-Dimensional Sensors for Surveillance Purposes. EANN 2018: 16-27 - [c9]Tom Van Steenkiste, Joeri Ruyssinck, Olivier Janssens, Baptist Vandersmissen, Florian Vandecasteele, Pieter Devolder, Eric Achten, Sofie Van Hoecke, Dirk Deschrijver, Tom Dhaene:
Automated Assessment of Bone Age Using Deep Learning and Gaussian Process Regression. EMBC 2018: 674-677 - 2017
- [j1]Evelien D'heer, Baptist Vandersmissen, Wesley De Neve, Pieter Verdegem, Rik Van de Walle:
What are we missing? An empirical exploration in the structural biases of hashtag-based sampling on Twitter. First Monday 22(2) (2017) - 2016
- [c8]Florian Vandecasteele, Jeroen Vervaeke, Baptist Vandersmissen, Michel De Wachter, Steven Verstockt:
Spatio-Temporal Wardrobe Generation of Actors' Clothing in Video Content. HCI (3) 2016: 448-459 - [c7]Baptist Vandersmissen, Lucas Sterckx, Thomas Demeester, Azarakhsh Jalalvand, Wesley De Neve, Rik Van de Walle:
An Automated End-To-End Pipeline for Fine-Grained Video Annotation using Deep Neural Networks. ICMR 2016: 409-412 - 2015
- [c6]Fréderic Godin, Baptist Vandersmissen, Wesley De Neve, Rik Van de Walle:
Multimedia Lab $@$ ACL WNUT NER Shared Task: Named Entity Recognition for Twitter Microposts using Distributed Word Representations. NUT@IJCNLP 2015: 146-153 - 2014
- [c5]Abhineshwar Tomar, Fréderic Godin, Baptist Vandersmissen, Wesley De Neve, Rik Van de Walle:
Towards Twitter hashtag recommendation using distributed word representations and a deep feed forward neural network. ICACCI 2014: 362-368 - [c4]Baptist Vandersmissen, Abhineshwar Tomar, Fréderic Godin, Wesley De Neve, Rik Van de Walle:
Ghent University-iMinds at MediaEval 2014 Diverse Images: Adaptive Clustering with Deep Features. MediaEval 2014 - [c3]Baptist Vandersmissen, Fréderic Godin, Abhineshwar Tomar, Wesley De Neve, Rik Van de Walle:
The Rise of Mobile Social Video: An In-depth Analysis of Vine. SoMuS@ICMR 2014 - 2013
- [c2]Baptist Vandersmissen, Abhineshwar Tomar, Fréderic Godin, Wesley De Neve, Rik Van de Walle:
Ghent University-iMinds at MediaEval 2013 Diverse Images: Relevance-Based Hierarchical Clustering. MediaEval 2013 - [c1]Steven Verstockt, Viktor Slavkovikj, Pieterjan De Potter, Baptist Vandersmissen, Jürgen Slowack, Rik Van de Walle:
Automatic GEO-MASHUP generation of outdoor activities. MoMM 2013: 100
Coauthor Index
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