University of Stuttgart

research

∙ 08/04/2022

Integrating Knowledge Graph embedding and pretrained Language Models in Hypercomplex Spaces

Knowledge Graphs, such as Wikidata, comprise structural and textual know...

Mojtaba Nayyeri, et al. ∙

research

∙ 09/27/2021

Multimodal Integration of Human-Like Attention in Visual Question Answering

Human-like attention as a supervisory signal to guide neural attention h...

Ekta Sood, et al. ∙

research

∙ 01/16/2019

Technical Report on Visual Quality Assessment for Frame Interpolation

Current benchmarks for optical flow algorithms evaluate the estimation q...

Hui Men, et al. ∙

research

∙ 06/04/2019

Rapidly-Exploring Quotient-Space Trees: Motion Planning using Sequential Simplifications

Motion planning problems can be simplified by admissible projections of ...

Andreas Orthey, et al. ∙

research

∙ 09/08/2019

Deep Workpiece Region Segmentation for Bin Picking

For most industrial bin picking solutions, the pose of a workpiece is lo...

Muhammad Usman Khalid, et al. ∙

research

∙ 11/23/2019

SemEval-2010 Task 8: Multi-Way Classification of Semantic Relations Between Pairs of Nominals

In response to the continuing research interest in computational semanti...

Iris Hendrickx, et al. ∙

research

∙ 05/13/2022

Blind Image Inpainting with Sparse Directional Filter Dictionaries for Lightweight CNNs

Blind inpainting algorithms based on deep learning architectures have sh...

Jenny Schmalfuss, et al. ∙

research

∙ 07/25/2019

Accurate and Robust Eye Contact Detection During Everyday Mobile Device Interactions

Quantification of human attention is key to several tasks in mobile huma...

Mihai Bâce, et al. ∙

research

∙ 03/29/2020

Optimized Directed Roadmap Graph for Multi-Agent Path Finding Using Stochastic Gradient Descent

We present a novel approach called Optimized Directed Roadmap Graph (ODR...

Christian Henkel, et al. ∙

research

∙ 05/04/2020

ADVISER: A Toolkit for Developing Multi-modal, Multi-domain and Socially-engaged Conversational Agents

We present ADVISER - an open-source, multi-domain dialog system toolkit ...

Chia Yu Li, et al. ∙

research

∙ 06/10/2019

Detecting Everyday Scenarios in Narrative Texts

Script knowledge consists of detailed information on everyday activities...

Lilian D. A. Wanzare, et al. ∙

research

∙ 11/30/2017

High Dynamic Range Imaging Technology

In this lecture note, we describe high dynamic range (HDR) imaging syste...

Alessandro Artusi, et al. ∙

research

∙ 11/02/2017

Deep Recurrent Gaussian Process with Variational Sparse Spectrum Approximation

Modeling sequential data has become more and more important in practice....

Roman Föll, et al. ∙

research

∙ 09/13/2017

Assessing State-of-the-Art Sentiment Models on State-of-the-Art Sentiment Datasets

There has been a good amount of progress in sentiment analysis over the ...

Jeremy Barnes, et al. ∙

research

∙ 07/25/2017

Physical problem solving: Joint planning with symbolic, geometric, and dynamic constraints

In this paper, we present a new task that investigates how people intera...

Ilker Yildirim, et al. ∙

research

∙ 08/17/2017

Adaptive Clustering Using Kernel Density Estimators

We investigate statistical properties of a clustering algorithm that rec...

Ingo Steinwart, et al. ∙

research

∙ 02/23/2017

Sobolev Norm Learning Rates for Regularized Least-Squares Algorithm

Learning rates for regularized least-squares algorithms are in most case...

Simon Fischer, et al. ∙

research

∙ 02/22/2017

liquidSVM: A Fast and Versatile SVM package

liquidSVM is a package written in C++ that provides SVM-type solvers for...

Ingo Steinwart, et al. ∙

research

∙ 08/29/2011

Collective Adaptive Systems: Challenges Beyond Evolvability

This position paper overviews several challenges of collective adaptive ...

Serge Kernbach, et al. ∙

research

∙ 12/01/2015

Evaluating Morphological Computation in Muscle and DC-motor Driven Models of Human Hopping

In the context of embodied artificial intelligence, morphological comput...

Keyan Ghazi-Zahedi, et al. ∙

research

∙ 08/21/2015

Representation of Quasi-Monotone Functionals by Families of Separating Hyperplanes

We characterize when the level sets of a continuous quasi-monotone funct...

Ingo Steinwart, et al. ∙

research

∙ 01/13/2013

Cutting Recursive Autoencoder Trees

Deep Learning models enjoy considerable success in Natural Language Proc...

Christian Scheible, et al. ∙

research

∙ 07/08/2014

Tracking Individual Targets in High Density Crowd Scenes Analysis of a Video Recording in Hajj 2009

In this paper we present a number of methods (manual, semi-automatic and...

Mohamed H. Dridi, et al. ∙

research

∙ 09/26/2017

Predicting Disease-Gene Associations using Cross-Document Graph-based Features

In the context of personalized medicine, text mining methods pose an int...

Hendrik ter Horst, et al. ∙

research

∙ 05/28/2011

Time-Dependent 2-D Vector Field Topology: An Approach Inspired by Lagrangian Coherent Structures

This paper presents an approach to a time-dependent variant of the conce...

Filip Sadlo, et al. ∙

research

∙ 04/26/2010

Finding and Classifying Critical Points of 2D Vector Fields: A Cell-Oriented Approach Using Group Theory

We present a novel approach to finding critical points in cell-wise bary...

Felix Effenberger, et al. ∙

research

∙ 08/08/2017

Neural-based Context Representation Learning for Dialog Act Classification

We explore context representation learning methods in neural-based model...

Daniel Ortega, et al. ∙

research

∙ 08/07/2017

Corpus-level Fine-grained Entity Typing

This paper addresses the problem of corpus-level entity typing, i.e., in...

Yadollah Yaghoobzadeh, et al. ∙

research

∙ 07/28/2017

Improving coreference resolution with automatically predicted prosodic information

Adding manually annotated prosodic information, specifically pitch accen...

Ina Rösiger, et al. ∙

research

∙ 07/19/2017

Modeling Target-Side Inflection in Neural Machine Translation

NMT systems have problems with large vocabulary sizes. Byte-pair encodin...

Aleš Tamchyna, et al. ∙

research

∙ 07/18/2017

Encoding Word Confusion Networks with Recurrent Neural Networks for Dialog State Tracking

This paper presents our novel method to encode word confusion networks, ...

Glorianna Jagfeld, et al. ∙

research

∙ 06/15/2017

German in Flux: Detecting Metaphoric Change via Word Entropy

This paper explores the information-theoretic measure entropy to detect ...

Dominik Schlechtweg, et al. ∙

research

∙ 06/06/2017

A General-Purpose Tagger with Convolutional Neural Networks

We present a general-purpose tagger based on convolutional neural networ...

Xiang Yu, et al. ∙

research

∙ 06/02/2017

Prosodic Event Recognition using Convolutional Neural Networks with Context Information

This paper demonstrates the potential of convolutional neural networks (...

Sabrina Stehwien, et al. ∙

research

∙ 06/01/2017

Function Assistant: A Tool for NL Querying of APIs

In this paper, we describe Function Assistant, a lightweight Python-base...

Kyle Richardson, et al. ∙

research

∙ 05/30/2017

Character Composition Model with Convolutional Neural Networks for Dependency Parsing on Morphologically Rich Languages

We present a transition-based dependency parser that uses a convolutiona...

Xiang Yu, et al. ∙

research

∙ 02/06/2017

Living a discrete life in a continuous world: Reference with distributed representations

Reference is a crucial property of language that allows us to connect li...

Gemma Boleda, et al. ∙

research

∙ 10/07/2016

Challenges of Computational Processing of Code-Switching

This paper addresses challenges of Natural Language Processing (NLP) on ...

Özlem Çetinoğlu, et al. ∙

research

∙ 07/21/2016

Opinion Mining in Online Reviews About Distance Education Programs

The popularity of distance education programs is increasing at a fast pa...

Janik Jaskolski, et al. ∙

research

∙ 06/24/2016

Sequential Convolutional Neural Networks for Slot Filling in Spoken Language Understanding

We investigate the usage of convolutional neural networks (CNNs) for the...

Ngoc Thang Vu, et al. ∙

research

∙ 05/24/2016

Combining Recurrent and Convolutional Neural Networks for Relation Classification

This paper investigates two different neural architectures for the task ...

Ngoc Thang Vu, et al. ∙

research

∙ 12/22/2017

Behavioral software engineering - guidelines for qualitative studies

Researchers are increasingly recognizing the importance of human aspects...

Per Lenberg, et al. ∙

research

∙ 09/26/2017

Report from GI-Dagstuhl Seminar 16394: Software Performance Engineering in the DevOps World

This report documents the program and the outcomes of GI-Dagstuhl Semina...

Andre van Hoorn, et al. ∙

research

∙ 11/01/2017

On Search Powered Navigation

Query-based searching and browsing-based navigation are the two main com...

Mostafa Dehghani, et al. ∙

research

∙ 06/22/2017

A Community's Perspective on the Status and Future of Peer Review in Software Engineering

Context: Pre-publication peer review of scientific articles is considere...

Lutz Prechelt, et al. ∙

research

∙ 07/05/2016

Best Practices for Replicability, Reproducibility and Reusability of Computer-Based Experiments Exemplified by Model Reduction Software

Over the recent years the importance of numerical experiments has gradua...

Jörg Fehr, et al. ∙

research

∙ 11/11/2015

The Dune FoamGrid implementation for surface and network grids

We present FoamGrid, a new implementation of the DUNE grid interface. Fo...

Oliver Sander, et al. ∙

research

∙ 07/26/2017

Rational Points on the Unit Sphere: Approximation Complexity and Practical Constructions

Each non-zero point in R^d identifies a closest point x on the unit sphe...

Daniel Bahrdt, et al. ∙

research

∙ 01/13/2018

PrivacEye: Privacy-Preserving First-Person Vision Using Image Features and Eye Movement Analysis

As first-person cameras in head-mounted displays become increasingly pre...

Julian Steil, et al. ∙

research

∙ 01/18/2018

Challenges of the Dynamic Detection of Functionally Similar Code Fragments

Classic clone detection approaches are hardly capable of finding redunda...

Florian Deissenboeck, et al. ∙

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