AIT Austrian Institute of Technology GmbH

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We are Austria's largest Research and Technology Organisation (RTO) and play in the first league on many infrastructure topics worldwide. This makes us a powerful development partner for the industry and the top employer in the international...

On Learning Vehicle Detection in Satellite Video

Vehicle detection in aerial and satellite images is still challenging du...
01/29/2020 ∙ by Roman Pflugfelder, et al. ∙ 7 ∙ share

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Personalized and situation-aware multimodal route recommendations: the FAVOUR algorithm

Route choice in multimodal networks shows a considerable variation betwe...
02/29/2016 ∙ by Paolo Campigotto, et al. ∙ 0 ∙ share

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Designing neural networks that process mean values of random variables

We introduce a class of neural networks derived from probabilistic model...
04/29/2010 ∙ by Michael J. Barber, et al. ∙ 0 ∙ share

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Inferring land use from mobile phone activity

Understanding the spatiotemporal distribution of people within a city is...
07/03/2012 ∙ by Jameson L. Toole, et al. ∙ 0 ∙ share

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Kinects and Human Kinetics: A New Approach for Studying Crowd Behavior

Modeling crowd behavior relies on accurate data of pedestrian movements ...
10/10/2012 ∙ by Stefan Seer, et al. ∙ 0 ∙ share

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On the Resilience of a QKD Key Synchronization Protocol for IPsec

This paper presents a practical solution to the problem of limited bandw...
01/05/2018 ∙ by Stefan Marksteiner, et al. ∙ 0 ∙ share

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A Deep Learning Approach for Privacy Preservation in Assisted Living

In the era of Internet of Things (IoT) technologies the potential for pr...
02/22/2018 ∙ by Ismini Psychoula, et al. ∙ 0 ∙ share

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Ransomware Payments in the Bitcoin Ecosystem

Ransomware can prevent a user from accessing a device and its files unti...
04/11/2018 ∙ by Masarah Paquet-Clouston, et al. ∙ 0 ∙ share

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Human Activity Recognition using Recurrent Neural Networks

Human activity recognition using smart home sensors is one of the bases ...
04/19/2018 ∙ by Deepika Singh, et al. ∙ 0 ∙ share

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Ambient Assisted Living technologies from the perspectives of older people and professionals

Ambient Assisted Living (AAL) and Ambient Intelligence technologies are ...
04/19/2018 ∙ by Deepika Singh, et al. ∙ 0 ∙ share

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Image-based Natural Language Understanding Using 2D Convolutional Neural Networks

We propose a new approach to natural language understanding in which we ...
10/24/2018 ∙ by Erinc Merdivan, et al. ∙ 0 ∙ share

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Fashion and Apparel Classification using Convolutional Neural Networks

We present an empirical study of applying deep Convolutional Neural Netw...
11/11/2018 ∙ by Alexander Schindler, et al. ∙ 0 ∙ share

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A Multi-modal Deep Neural Network approach to Bird-song identification

We present a multi-modal Deep Neural Network (DNN) approach for bird son...
11/11/2018 ∙ by Botond Fazeka, et al. ∙ 0 ∙ share

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Multi-Temporal Resolution Convolutional Neural Networks for Acoustic Scene Classification

In this paper we present a Deep Neural Network architecture for the task...
11/11/2018 ∙ by Alexander Schindler, et al. ∙ 0 ∙ share

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Large Scale Audio-Visual Video Analytics Platform for Forensic Investigations of Terroristic Attacks

The forensic investigation of a terrorist attack poses a huge challenge ...
11/28/2018 ∙ by Alexander Schindler, et al. ∙ 0 ∙ share

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Compositional Specifications for ioco Testing

Model-based testing is a promising technology for black-box software and...
04/15/2019 ∙ by Przemyslaw Daca, et al. ∙ 0 ∙ share

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Tweeting your Destiny: Profiling Users in the Twitter Landscape around an Online Game

Social media has become a major communication channel for communities ce...
05/29/2019 ∙ by Günter Wallner, et al. ∙ 0 ∙ share

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Spams meet Cryptocurrencies: Sextortion in the Bitcoin Ecosystem

In the past year, a new spamming scheme has emerged: sexual extortion me...
08/02/2019 ∙ by Masarah Paquet-Clouston, et al. ∙ 0 ∙ share

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Multi-Task Music Representation Learning from Multi-Label Embeddings

This paper presents a novel approach to music representation learning. T...
09/17/2019 ∙ by Alexander Schindler, et al. ∙ 0 ∙ share

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Deep Learning for MIR Tutorial

Deep Learning has become state of the art in visual computing and contin...
01/15/2020 ∙ by Alexander Schindler, et al. ∙ 0 ∙ share

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EXPLAIN-IT: Towards Explainable AI for Unsupervised Network Traffic Analysis

The application of unsupervised learning approaches, and in particular o...
03/03/2020 ∙ by Andrea Morichetta, et al. ∙ 0 ∙ share

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Two Decades of AI4NETS-AI/ML for Data Networks: Challenges Research Directions

The popularity of Artificial Intelligence (AI) – and of Machine Learning...
03/03/2020 ∙ by Pedro Casas, et al. ∙ 0 ∙ share

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DeepMAL – Deep Learning Models for Malware Traffic Detection and Classification

Robust network security systems are essential to prevent and mitigate th...
03/03/2020 ∙ by Gonzalo Marín, et al. ∙ 0 ∙ share

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You Drive Me Crazy! Interactive QoE Assessment for Telepresence Robot Control

Telepresence robots (TPRs) are versatile, remotely controlled vehicles t...
03/24/2020 ∙ by Hamed Z. Jahromi, et al. ∙ 0 ∙ share

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Unsupervised Cross-Modal Audio Representation Learning from Unstructured Multilingual Text

We present an approach to unsupervised audio representation learning. Ba...
03/27/2020 ∙ by Alexander Schindler, et al. ∙ 0 ∙ share

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Multi-Modal Video Forensic Platform for Investigating Post-Terrorist Attack Scenarios

The forensic investigation of a terrorist attack poses a significant cha...
04/02/2020 ∙ by Alexander Schindler, et al. ∙ 0 ∙ share

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The Problem of Fragmented Occlusion in Object Detection

Object detection in natural environments is still a very challenging tas...
04/27/2020 ∙ by Julian Pegoraro, et al. ∙ 0 ∙ share

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Large-Scale Co-Simulation of Power Grid and Communication Network Models with Software in the Loop

Power grids are transitioning from an infrastructure model based on reac...
05/22/2020 ∙ by Eric MSP Veith, et al. ∙ 0 ∙ share

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Cross-Layer Deanonymization Methods in the Lightning Protocol

Payment channel networks (PCNs) have emerged as a promising alternative ...
07/01/2020 ∙ by Matteo Romiti, et al. ∙ 0 ∙ share

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Critical ride comfort detection for automated vehicles

In a future connected vehicle environment, an optimized route and motion...
07/27/2021 ∙ by Alexander Genser, et al. ∙ 0 ∙ share

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