Alpen-Adria-Universität

research

∙ 10/11/2021

Multiple Object Trackers in OpenCV: A Benchmark

Object tracking is one of the most important and fundamental disciplines...

Nađa Dardagan, et al. ∙

research

∙ 01/16/2020

On Expert Behaviors and Question Types for Efficient Query-Based Ontology Fault Localization

We challenge existing query-based ontology fault localization methods wr...

Patrick Rodler, et al. ∙

research

∙ 11/11/2019

ASP-Core-2 Input Language Format

Standardization of solver input languages has been a main driver for the...

Francesco Calimeri, et al. ∙

research

∙ 10/29/2018

Concealing the identity of faces in oblique images with adaptive hopping Gaussian mixtures

Cameras mounted on Micro Aerial Vehicles (MAVs) are increasingly used fo...

Omair Sarwar, et al. ∙

research

∙ 07/16/2019

Are We Really Making Much Progress? A Worrying Analysis of Recent Neural Recommendation Approaches

Deep learning techniques have become the method of choice for researcher...

Maurizio Ferrari Dacrema, et al. ∙

research

∙ 08/17/2021

Thirty years of Epistemic Specifications

The language of epistemic specifications and epistemic logic programs ex...

Jorge Fandinno, et al. ∙

research

∙ 07/26/2022

How should I compute my candidates? A taxonomy and classification of diagnosis computation algorithms

This work proposes a taxonomy for diagnosis computation methods which al...

Patrick Rodler, et al. ∙

research

∙ 07/25/2019

On Uniform Equivalence of Epistemic Logic Programs

Epistemic Logic Programs (ELPs) extend Answer Set Programming (ASP) with...

Wolfgang Faber, et al. ∙

research

∙ 11/25/2022

Copula Density Neural Estimation

Probability density estimation from observed data constitutes a central ...

Nunzio A. Letizia, et al. ∙

research

∙ 11/15/2021

Discriminative Mutual Information Estimation for the Design of Channel Capacity Driven Autoencoders

The development of optimal and efficient machine learning-based communic...

Nunzio A. Letizia, et al. ∙

research

∙ 11/11/2021

Nonconvex flexible sparsity regularization: theory and monotone numerical schemes

Flexible sparsity regularization means stably approximating sparse solut...

Daria Ghilli, 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

∙ 11/25/2022

PoET: Pose Estimation Transformer for Single-View, Multi-Object 6D Pose Estimation

Accurate 6D object pose estimation is an important task for a variety of...

Thomas Jantos, et al. ∙

research

∙ 09/25/2021

ReCal-Net: Joint Region-Channel-Wise Calibrated Network for Semantic Segmentation in Cataract Surgery Videos

Semantic segmentation in surgical videos is a prerequisite for a broad r...

Negin Ghamsarian, et al. ∙

research

∙ 09/06/2021

Towards Retrieval-based Conversational Recommendation

Conversational recommender systems have attracted immense attention rece...

Ahtsham Manzoor, et al. ∙

research

∙ 09/04/2021

On the inverse problem of vibro-acoustography

The aim of this paper is to put the problem of vibroacoustic imaging int...

Barbara Kaltenbacher, et al. ∙

research

∙ 07/07/2021

Discriminative Mutual Information Estimators for Channel Capacity Learning

Channel capacity plays a crucial role in the development of modern commu...

Nunzio A. Letizia, et al. ∙

research

∙ 02/04/2022

A Tensor Based Regression Approach for Human Motion Prediction

Collaborative robotic systems will be a key enabling technology for curr...

Lorena Gril, et al. ∙

research

∙ 05/26/2020

A Bayesian Approach for Predicting Food and Beverage Sales in Staff Canteens and Restaurants

Accurate demand forecasting is one of the key aspects for successfully m...

Konstantin Posch, et al. ∙

research

∙ 03/30/2020

On different Versions of the Exact Subgraph Hierarchy for the Stable Set Problem

One of many different hierarchies towards the stability number of a grap...

Elisabeth Gaar, et al. ∙

research

∙ 02/13/2020

Augmenting an Assisted Living Lab with Non-Intrusive Load Monitoring

The need for reducing our energy consumption footprint and the increasin...

Hafsa Bousbiat, et al. ∙

research

∙ 01/20/2020

Towards Comparability in Non-Intrusive Load Monitoring: On Data and Performance Evaluation

Non-Intrusive Load Monitoring (NILM) comprises of a set of techniques th...

Christoph Klemenjak, et al. ∙

research

∙ 12/17/2022

Convergence of the tamed-Euler-Maruyama method for SDEs with discontinuous and polynomially growing drift

Numerical methods for SDEs with irregular coefficients are intensively s...

Kathrin Spendier, et al. ∙

research

∙ 01/01/2023

Designing organizations for bottom-up task allocation: The role of incentives

In recent years, various decentralized organizational forms have emerged...

Stephan Leitner, et al. ∙

research

∙ 06/05/2022

Collaborative search and autonomous task allocation in organizations of learning agents

This paper introduces a model of multi-unit organizations with either st...

Stephan Leitner, et al. ∙

research

∙ 10/19/2022

Multi-Objective Recommender Systems: Survey and Challenges

Recommender systems can be characterized as software solutions that prov...

Dietmar Jannach, et al. ∙

research

∙ 09/07/2022

INFACT: An Online Human Evaluation Framework for Conversational Recommendation

Conversational recommender systems (CRS) are interactive agents that sup...

Ahtsham Manzoor, et al. ∙

research

∙ 08/25/2022

Evaluating Conversational Recommender Systems

Conversational recommender systems aim to interactively support online u...

Dietmar Jannach, et al. ∙

research

∙ 07/26/2022

Hybrid On/Off Blockchain Approach for Vehicle Data Management, Processing and Visualization Exemplified by the ADAPT Platform

Hybrid on/off-blockchain vehicle data management approaches have receive...

Aso Validi, et al. ∙

research

∙ 08/08/2022

INSPIRED2: An Improved Dataset for Sociable Conversational Recommendation

Conversational recommender systems (CRS) that are able to interact with ...

Ahtsham Manzoor, et al. ∙

research

∙ 08/04/2022

SROS2: Usable Cyber Security Tools for ROS 2

ROS 2 is rapidly becoming a standard in the robotics industry. Built upo...

Víctor Mayoral Vilches, et al. ∙

research

∙ 07/04/2022

DeepPyramid: Enabling Pyramid View and Deformable Pyramid Reception for Semantic Segmentation in Cataract Surgery Videos

Semantic segmentation in cataract surgery has a wide range of applicatio...

Negin Ghamsarian, et al. ∙

research

∙ 06/24/2022

Generative Datalog with Stable Negation

Extending programming languages with stochastic behaviour such as probab...

Mario Alviano, et al. ∙

research

∙ 01/12/2022

ECAS-ML: Edge Computing Assisted Adaptation Scheme with Machine Learning for HTTP Adaptive Streaming

As the video streaming traffic in mobile networks is increasing, improvi...

Jesús Aguilar-Armijo, et al. ∙

research

∙ 05/14/2022

MIND: Maximum Mutual Information Based Neural Decoder

We are assisting at a growing interest in the development of learning ar...

Andrea M. Tonello, et al. ∙

research

∙ 05/02/2022

Defending Against Advanced Persistent Threats using Game-Theory

Advanced persistent threats (APT) combine a variety of different attack ...

Stefan Rass, et al. ∙

research

∙ 05/02/2022

Decisions with Uncertain Consequences – A Total Ordering on Loss-Distributions

Decisions are often based on imprecise, uncertain or vague information. ...

Stefan Rass, et al. ∙

research

∙ 10/04/2019

The Ivanov regularized Gauss-Newton method in Banach space with an a posteriori choice of the regularization radius

In this paper we consider the iteratively regularized Gauss-Newton metho...

Barbara Kaltenbacher, et al. ∙

research

∙ 04/04/2022

An Algebraic System for Constructing Cryptographic Permutations over Finite Fields

In this paper we identify polynomial dynamical systems over finite field...

Arnab Roy, et al. ∙

research

∙ 03/10/2022

Balancing Consumer and Business Value of Recommender Systems: A Simulation-based Analysis

Automated recommendations can nowadays be found on many online platforms...

Nada Ghanem, et al. ∙

research

∙ 10/21/2022

Collaborative Image Understanding

Automatically understanding the contents of an image is a highly relevan...

Koby Bibas, et al. ∙

research

∙ 02/23/2018

Sequence-Aware Recommender Systems

Recommender systems are one of the most successful applications of data ...

Massimo Quadrana, et al. ∙

research

∙ 09/10/2018

Now You're Thinking With Structures: A Concept for Structure-based Interactions with Spreadsheets

Spreadsheets are the go-to tool for computerized calculation and modelli...

Patrick Koch, et al. ∙

research

∙ 08/26/2018

Trustworthy and Privacy-Aware Sensing for Internet of Things

The Internet of Things (IoT) is considered as the key enabling technolog...

Ihtesham Haider, et al. ∙

research

∙ 08/24/2018

Game Theory Meets Network Security: A Tutorial at ACM CCS

The increasingly pervasive connectivity of today's information systems b...

Quanyan Zhu, et al. ∙

research

∙ 08/07/2018

Intrinsic and Extrinsic Motivation Modeling Essential for Multi-Modal Health Recommender Systems

Managing health lays the core foundation to enabling quality life experi...

Nitish Nag, et al. ∙

research

∙ 08/01/2018

Debugging Non-Ground ASP Programs: Technique and Graphical Tools

Answer Set Programming (ASP) is one of the major declarative programming...

Carmine Dodaro, et al. ∙

research

∙ 04/05/2018

The diveXplore System at the Video Browser Showdown 2018 - Final Notes

This short paper provides further details of the diveXplore system (form...

Klaus Schoeffmann, et al. ∙

research

∙ 03/19/2018

Multi-Codec DASH Dataset

The number of bandwidth-hungry applications and services is constantly g...

Anatoliy Zabrovskiy, et al. ∙

research

∙ 02/05/2018

Smart Routing for Improved PLC Backhauling of the Radio Access Network

Transmission line theory enables the bottom up study of networks based o...

Francesco Marcuzzi, et al. ∙

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