AIT Austrian Institute of Technology GmbH

research

∙ 01/29/2020

On Learning Vehicle Detection in Satellite Video

Vehicle detection in aerial and satellite images is still challenging du...

Roman Pflugfelder, et al. ∙

research

∙ 03/23/2022

Wider or Deeper Neural Network Architecture for Acoustic Scene Classification with Mismatched Recording Devices

In this paper, we present a robust and low complexity system for Acousti...

Lam Pham, et al. ∙

research

∙ 03/27/2020

Unsupervised Cross-Modal Audio Representation Learning from Unstructured Multilingual Text

We present an approach to unsupervised audio representation learning. Ba...

Alexander Schindler, et al. ∙

research

∙ 03/03/2020

DeepMAL – Deep Learning Models for Malware Traffic Detection and Classification

Robust network security systems are essential to prevent and mitigate th...

Gonzalo Marín, et al. ∙

research

∙ 04/02/2020

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

The forensic investigation of a terrorist attack poses a significant cha...

Alexander Schindler, et al. ∙

research

∙ 04/27/2020

The Problem of Fragmented Occlusion in Object Detection

Object detection in natural environments is still a very challenging tas...

Julian Pegoraro, et al. ∙

research

∙ 05/22/2020

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...

Eric MSP Veith, et al. ∙

research

∙ 07/01/2020

Cross-Layer Deanonymization Methods in the Lightning Protocol

Payment channel networks (PCNs) have emerged as a promising alternative ...

Matteo Romiti, et al. ∙

research

∙ 07/27/2021

Critical ride comfort detection for automated vehicles

In a future connected vehicle environment, an optimized route and motion...

Alexander Genser, et al. ∙

research

∙ 10/12/2021

Event-Based high-speed low-latency fiducial marker tracking

Motion and dynamic environments, especially under challenging lighting c...

Adam Loch, et al. ∙

research

∙ 10/12/2021

An Annihilating Filter-Based DOA Estimation for Uniform Linear Array

In this paper, we propose a new method to design an annihilating filter ...

Son Phan, et al. ∙

research

∙ 02/04/2022

Model-Free Reinforcement Learning for Symbolic Automata-encoded Objectives

Reinforcement learning (RL) is a popular approach for robotic path plann...

Anand Balakrishnan, et al. ∙

research

∙ 03/16/2022

Maintainable Log Datasets for Evaluation of Intrusion Detection Systems

Intrusion detection systems (IDS) monitor system logs and network traffi...

Max Landauer, et al. ∙

research

∙ 04/18/2022

SynopSet: Multiscale Visual Abstraction Set for Explanatory Analysis of DNA Nanotechnology Simulations

We propose a new abstraction set (SynopSet) that has a continuum of visu...

Deng Luo, et al. ∙

research

∙ 05/06/2022

A Verifiable Multiparty Computation Solver for the Assignment Problem and Applications to Air Traffic Management

The assignment problem is an essential problem in many application field...

Thomas Loruenser, et al. ∙

research

∙ 07/08/2022

Continuous Target-free Extrinsic Calibration of a Multi-Sensor System from a Sequence of Static Viewpoints

Mobile robotic applications need precise information about the geometric...

Philipp Glira, et al. ∙

research

∙ 07/08/2022

Deep Learning for Anomaly Detection in Log Data: A Survey

Automatic log file analysis enables early detection of relevant incident...

Max Landauer, et al. ∙

research

∙ 10/06/2022

Single-Use Delegatable Signatures Based on Smart Contracts

Delegation of cryptographic signing rights has found many application in...

Stephan Krenn, et al. ∙

research

∙ 10/17/2022

On the Security of Offloading Post-Processing for Quantum Key Distribution

Quantum key distribution (QKD) has been researched for almost four decad...

Thomas Loruenser, et al. ∙

research

∙ 11/05/2022

A Robust and Low Complexity Deep Learning Model for Remote Sensing Image Classification

In this paper, we present a robust and low complexity deep learning mode...

Cam Le, et al. ∙

research

∙ 11/07/2022

Metricizing the Euclidean Space towards Desired Distance Relations in Point Clouds

Given a set of points in the Euclidean space ℝ^ℓ with ℓ>1, the pairwise ...

Stefan Rass, et al. ∙

research

∙ 01/30/2023

MED1stMR: Mixed Reality to Enhance Training of Medical First Responder]MED1stMR: Mixed Reality to Enhance the Training of Medical First Responders for Challenging Contexts

Mass-casualty incidents with a large number of injured persons caused by...

Helmut Schrom-Feiertag, et al. ∙

research

∙ 01/31/2023

Property-Based Mutation Testing

Mutation testing is an established software quality assurance technique ...

Ezio Bartocci, et al. ∙

research

∙ 11/11/2018

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

We present a multi-modal Deep Neural Network (DNN) approach for bird son...

Botond Fazeka, et al. ∙

research

∙ 04/29/2010

Designing neural networks that process mean values of random variables

We introduce a class of neural networks derived from probabilistic model...

Michael J. Barber, et al. ∙

research

∙ 07/03/2012

Inferring land use from mobile phone activity

Understanding the spatiotemporal distribution of people within a city is...

Jameson L. Toole, et al. ∙

research

∙ 10/10/2012

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

Modeling crowd behavior relies on accurate data of pedestrian movements ...

Stefan Seer, et al. ∙

research

∙ 01/05/2018

On the Resilience of a QKD Key Synchronization Protocol for IPsec

This paper presents a practical solution to the problem of limited bandw...

Stefan Marksteiner, et al. ∙

research

∙ 02/22/2018

A Deep Learning Approach for Privacy Preservation in Assisted Living

In the era of Internet of Things (IoT) technologies the potential for pr...

Ismini Psychoula, et al. ∙

research

∙ 04/11/2018

Ransomware Payments in the Bitcoin Ecosystem

Ransomware can prevent a user from accessing a device and its files unti...

Masarah Paquet-Clouston, et al. ∙

research

∙ 04/19/2018

Human Activity Recognition using Recurrent Neural Networks

Human activity recognition using smart home sensors is one of the bases ...

Deepika Singh, et al. ∙

research

∙ 04/19/2018

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

Ambient Assisted Living (AAL) and Ambient Intelligence technologies are ...

Deepika Singh, et al. ∙

research

∙ 10/24/2018

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

We propose a new approach to natural language understanding in which we ...

Erinc Merdivan, et al. ∙

research

∙ 11/11/2018

Fashion and Apparel Classification using Convolutional Neural Networks

We present an empirical study of applying deep Convolutional Neural Netw...

Alexander Schindler, et al. ∙

research

∙ 03/24/2020

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

Telepresence robots (TPRs) are versatile, remotely controlled vehicles t...

Hamed Z. Jahromi, et al. ∙

research

∙ 11/11/2018

Multi-Temporal Resolution Convolutional Neural Networks for Acoustic Scene Classification

In this paper we present a Deep Neural Network architecture for the task...

Alexander Schindler, et al. ∙

research

∙ 11/28/2018

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

The forensic investigation of a terrorist attack poses a huge challenge ...

Alexander Schindler, et al. ∙

research

∙ 04/15/2019

Compositional Specifications for ioco Testing

Model-based testing is a promising technology for black-box software and...

Przemyslaw Daca, et al. ∙

research

∙ 05/29/2019

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

Social media has become a major communication channel for communities ce...

Günter Wallner, et al. ∙

research

∙ 08/02/2019

Spams meet Cryptocurrencies: Sextortion in the Bitcoin Ecosystem

In the past year, a new spamming scheme has emerged: sexual extortion me...

Masarah Paquet-Clouston, et al. ∙

research

∙ 09/17/2019

Multi-Task Music Representation Learning from Multi-Label Embeddings

This paper presents a novel approach to music representation learning. T...

Alexander Schindler, et al. ∙

research

∙ 01/15/2020

Deep Learning for MIR Tutorial

Deep Learning has become state of the art in visual computing and contin...

Alexander Schindler, et al. ∙

research

∙ 03/03/2020

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

The application of unsupervised learning approaches, and in particular o...

Andrea Morichetta, et al. ∙

research

∙ 03/03/2020

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

The popularity of Artificial Intelligence (AI) – and of Machine Learning...

Pedro Casas, et al. ∙

research

∙ 02/29/2016

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

Route choice in multimodal networks shows a considerable variation betwe...

Paolo Campigotto, et al. ∙

AIT Austrian Institute of Technology GmbH

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