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Vlado Menkovski

Eindhoven University of Technology, Eindhoven, The Netherlands

Quantifying and Learning Disentangled Representations with Limited Supervision

Nov 26, 2020
Loek Tonnaer, Luis A. Pérez Rey, Vlado Menkovski, Mike Holenderski, Jacobus W. Portegies


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A Metric for Linear Symmetry-Based Disentanglement

Nov 26, 2020
Luis A. Pérez Rey, Loek Tonnaer, Vlado Menkovski, Mike Holenderski, Jacobus W. Portegies


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Bridging the Performance Gap between FGSM and PGD Adversarial Training

Nov 07, 2020
Tianjin Huang, Vlado Menkovski, Yulong Pei, Mykola Pechenizkiy


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Complex Vehicle Routing with Memory Augmented Neural Networks

Sep 22, 2020
Marijn van Knippenberg, Mike Holenderski, Vlado Menkovski

* Presented at 3RD IEEE International Conference on Industrial Cyber-Physical Systems, 2020 

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Explaining Predictions by Approximating the Local Decision Boundary

Jun 14, 2020
Georgios Vlassopoulos, Tim van Erven, Henry Brighton, Vlado Menkovski


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Knowledge Elicitation using Deep Metric Learning and Psychometric Testing

Apr 14, 2020
Lu Yin, Vlado Menkovski, Mykola Pechenizkiy

* 16 pages, 11 figures 

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Causal Discovery from Incomplete Data: A Deep Learning Approach

Jan 15, 2020
Yuhao Wang, Vlado Menkovski, Hao Wang, Xin Du, Mykola Pechenizkiy


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Pedestrian orientation dynamics from high-fidelity measurements

Jan 14, 2020
Joris Willems, Alessandro Corbetta, Vlado Menkovski, Federico Toschi


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Deep learning velocity signals allows to quantify turbulence intensity

Nov 14, 2019
Alessandro Corbetta, Vlado Menkovski, Roberto Benzi, Federico Toschi


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BSDAR: Beam Search Decoding with Attention Reward in Neural Keyphrase Generation

Sep 17, 2019
Iftitahu Ni'mah, Vlado Menkovski, Mykola Pechenizkiy


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Hierarchical Annotation of Images with Two-Alternative-Forced-Choice Metric Learning

Jun 05, 2019
Niels Hellinga, Vlado Menkovski

* presented at 2019 ICML Workshop on Human in the Loop Learning (HILL 2019), Long Beach, USA 

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Micro-expression detection in long videos using optical flow and recurrent neural networks

Mar 26, 2019
Michiel Verburg, Vlado Menkovski

* 6 pages, 6 figures and 1 table 

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StampNet: unsupervised multi-class object discovery

Feb 07, 2019
Joost Visser, Alessandro Corbetta, Vlado Menkovski, Federico Toschi


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Diffusion Variational Autoencoders

Jan 25, 2019
Luis A. Pérez Rey, Vlado Menkovski, Jacobus W. Portegies

* 10 pages, 8 figures 

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Anomaly Detection for imbalanced datasets with Deep Generative Models

Nov 02, 2018
Nazly Rocio Santos Buitrago, Loek Tonnaer, Vlado Menkovski, Dimitrios Mavroeidis

* 15 pages, 13 figures, accepted by Benelearn 2018 conference 

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Deep Learning in Information Security

Sep 12, 2018
Stefan Thaler, Vlado Menkovski, Milan Petkovic


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Understanding Anatomy Classification Through Attentive Response Maps

Feb 07, 2018
Devinder Kumar, Vlado Menkovski, Graham W. Taylor, Alexander Wong

* Accepted at ISBI, 2018 

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Weakly supervised training of deep convolutional neural networks for overhead pedestrian localization in depth fields

Jun 09, 2017
Alessandro Corbetta, Vlado Menkovski, Federico Toschi

* Advanced Video and Signal Based Surveillance (AVSS), 2017 14th IEEE International Conference on 

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Can Pretrained Neural Networks Detect Anatomy?

Dec 18, 2015
Vlado Menkovski, Zharko Aleksovski, Axel Saalbach, Hannes Nickisch

* NIPS 2015 Workshop on Machine Learning in Healthcare 

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