Hasso Plattner Institute

research

∙ 12/11/2019

Multimodal Self-Supervised Learning for Medical Image Analysis

In this paper, we propose a self-supervised learning approach that lever...

Aiham Taleb, et al. ∙

research

∙ 09/16/2021

Explainability Requires Interactivity

When explaining the decisions of deep neural networks, simple stories ar...

Matthias Kirchler, et al. ∙

research

∙ 06/25/2021

Interactive Multi-level Stroke Control for Neural Style Transfer

We present StyleTune, a mobile app for interactive multi-level control o...

Max Reimann, et al. ∙

research

∙ 06/18/2019

Poisoning Attacks with Generative Adversarial Nets

Machine learning algorithms are vulnerable to poisoning attacks: An adve...

Luis Muñoz-González, et al. ∙

research

∙ 02/21/2022

Non-Volatile Memory Accelerated Geometric Multi-Scale Resolution Analysis

Dimensionality reduction algorithms are standard tools in a researcher's...

Andrew Wood, et al. ∙

research

∙ 06/26/2017

Neural Question Answering at BioASQ 5B

This paper describes our submission to the 2017 BioASQ challenge. We par...

Georg Wiese, et al. ∙

research

∙ 06/12/2017

Neural Domain Adaptation for Biomedical Question Answering

Factoid question answering (QA) has recently benefited from the developm...

Georg Wiese, et al. ∙

research

∙ 05/27/2017

BMXNet: An Open-Source Binary Neural Network Implementation Based on MXNet

Binary Neural Networks (BNNs) can drastically reduce memory size and acc...

Haojin Yang, et al. ∙

research

∙ 06/17/2016

Data-driven HR - Résumé Analysis Based on Natural Language Processing and Machine Learning

Recruiters usually spend less than a minute looking at each résumé when ...

Tim Zimmermann, et al. ∙

research

∙ 10/04/2017

On the Tree Conjecture for the Network Creation Game

Selfish Network Creation focuses on modeling real world networks from a ...

Davide Bilò, et al. ∙

research

∙ 02/12/2018

Notable Characteristics Search through Knowledge Graphs

Query answering routinely employs knowledge graphs to assist the user in...

Davide Mottin, et al. ∙

research

∙ 04/10/2018

Scrum2Kanban: Integrating Kanban and Scrum in a University Software Engineering Capstone Course

Using university capstone courses to teach agile software development me...

Christoph Matthies, et al. ∙

research

∙ 06/14/2018

Theory of Estimation-of-Distribution Algorithms

Estimation-of-distribution algorithms (EDAs) are general metaheuristics ...

Martin S. Krejca, et al. ∙

research

∙ 07/10/2018

Significance-based Estimation-of-Distribution Algorithms

Estimation-of-distribution algorithms (EDAs) are randomized search heuri...

Benjamin Doerr, et al. ∙

research

∙ 07/17/2018

A Survey on Essential Components of a Self-Sovereign Identity

This paper provides an overview of the Self-Sovereign Identity (SSI) con...

Alexander Mühle, et al. ∙

research

∙ 09/07/2018

Dealing with the Dimensionality Curse in Dynamic Pricing Competition: Using Frequent Repricing to Compensate Imperfect Market Anticipations

Most sales applications are characterized by competition and limited dem...

Rainer Schlosser, et al. ∙

research

∙ 09/21/2018

Aspects on Finding the Optimal Practical Programming Exercise for MOOCs

Massive Open Online Courses (MOOCs) focus on manifold subjects, ranging ...

Ralf Teusner, et al. ∙

research

∙ 09/21/2018

Effects of Automated Interventions in Programming Assignments: Evidence from a Field Experiment

A typical problem in MOOCs is the missing opportunity for course conduct...

Ralf Teusner, et al. ∙

research

∙ 09/27/2018

Learning to Train a Binary Neural Network

Convolutional neural networks have achieved astonishing results in diffe...

Joseph Bethge, et al. ∙

research

∙ 11/14/2018

Pareto Optimization for Subset Selection with Dynamic Cost Constraints

In this paper, we consider the subset selection problem for function f w...

Vahid Roostapour, et al. ∙

research

∙ 11/22/2018

Multi-Task Generative Adversarial Network for Handling Imbalanced Clinical Data

We propose a new generative adversarial architecture to mitigate imbalan...

Mina Rezaei, et al. ∙

research

∙ 12/02/2018

Integrating omics and MRI data with kernel-based tests and CNNs to identify rare genetic markers for Alzheimer's disease

For precision medicine and personalized treatment, we need to identify p...

Stefan Konigorski, et al. ∙

research

∙ 01/11/2019

Don't Wait to be Breached! Creating Asymmetric Uncertainty of Cloud Applications via Moving Target Defenses

Cloud applications expose - besides service endpoints - also potential o...

Kennedy A. Torkura, et al. ∙

research

∙ 02/28/2019

Graph and String Parameters: Connections Between Pathwidth, Cutwidth and the Locality Number

We investigate the locality number, a recently introduced structural par...

Katrin Casel, et al. ∙

research

∙ 03/06/2019

An Additional Set of (Automated) Eyes: Chatbots for Agile Retrospectives

With the recent advances in natural-language processing, combined with t...

Christoph Matthies, et al. ∙

research

∙ 04/15/2019

Geometric Network Creation Games

Network Creation Games are a well-known approach for explaining and anal...

Davide Bilò, et al. ∙

research

∙ 05/16/2019

Efficiently Generating Geometric Inhomogeneous and Hyperbolic Random Graphs

Hyperbolic random graphs (HRG) and geometric inhomogeneous random graphs...

Thomas Bläsius, et al. ∙

research

∙ 05/29/2019

Instant Quantization of Neural Networks using Monte Carlo Methods

Low bit-width integer weights and activations are very important for eff...

Gonçalo Mordido, et al. ∙

research

∙ 06/19/2019

Back to Simplicity: How to Train Accurate BNNs from Scratch?

Binary Neural Networks (BNNs) show promising progress in reducing comput...

Joseph Bethge, et al. ∙

research

∙ 07/30/2019

Towards Using Data to Inform Decisions in Agile Software Development: Views of Available Data

Software development comprises complex tasks which are performed by huma...

Christoph Matthies, et al. ∙

research

∙ 08/30/2019

Insecure Until Proven Updated: Analyzing AMD SEV's Remote Attestation

Customers of cloud services have to trust the cloud providers, as they c...

Robert Buhren, et al. ∙

research

∙ 10/01/2019

The Minimization of Random Hypergraphs

We investigate the maximum-entropy model B_n,m,p for random n-vertex, m-...

Thomas Bläsius, et al. ∙

research

∙ 11/15/2019

Non-Monotone Submodular Maximization with Multiple Knapsacks in Static and Dynamic Settings

We study the problem of maximizing a non-monotone submodular function un...

Vanja Doskoč, et al. ∙

research

∙ 11/25/2019

My Approach = Your Apparatus? Entropy-Based Topic Modeling on Multiple Domain-Specific Text Collections

Comparative text mining extends from genre analysis and political bias d...

Julian Risch, et al. ∙

research

∙ 12/20/2019

Analysis of Graph Transformation Systems: Native vs Translation-based Techniques

The paper summarises the contributions in a session at GCM 2019 presenti...

Reiko Heckel, et al. ∙

research

∙ 01/06/2020

Using CEF Digital Service Infrastructures in the Smart4Health Project for the Exchange of Electronic Health Records

The Smart4Health (S4H) software application will empower EU citizens to ...

Tamara Slosarek, et al. ∙

research

∙ 01/16/2020

MeliusNet: Can Binary Neural Networks Achieve MobileNet-level Accuracy?

Binary Neural Networks (BNNs) are neural networks which use binary weigh...

Joseph Bethge, et al. ∙

research

∙ 02/03/2020

Improving the Evaluation of Generative Models with Fuzzy Logic

Objective and interpretable metrics to evaluate current artificial intel...

Julian Niedermeier, et al. ∙

research

∙ 02/21/2020

IMDfence: Architecting a Secure Protocol for Implantable Medical Devices

Over the past decade, focus on the security and privacy aspects of impla...

Muhammad Ali Siddiqi, et al. ∙

research

∙ 03/26/2020

Top Comment or Flop Comment? Predicting and Explaining User Engagement in Online News Discussions

Comment sections below online news articles enjoy growing popularity amo...

Julian Risch, et al. ∙

research

∙ 05/14/2020

Shortest Distances as Enumeration Problem

We investigate the single source shortest distance (SSSD) and all pairs ...

Katrin Casel, et al. ∙

research

∙ 05/20/2020

Improving Scalability and Reward of Utility-Driven Self-Healing for Large Dynamic Architectures

Self-adaptation can be realized in various ways. Rule-based approaches p...

Sona Ghahremani, et al. ∙

research

∙ 07/16/2020

More than Code: Contributions in Scrum Software Engineering Teams

Motivated and competent team members are a vital part of Agile Software ...

Frederike Ramin, et al. ∙

research

∙ 07/16/2020

Mining for Process Improvements: Analyzing Software Repositories in Agile Retrospectives

Software Repositories contain knowledge on how software engineering team...

Christoph Matthies, et al. ∙

research

∙ 07/16/2020

The Univariate Marginal Distribution Algorithm Copes Well With Deception and Epistasis

In their recent work, Lehre and Nguyen (FOGA 2019) show that the univari...

Benjamin Doerr, et al. ∙

research

∙ 07/13/2020

GGPONC: A Corpus of German Medical Text with Rich Metadata Based on Clinical Practice Guidelines

The lack of publicly available text corpora is a major obstacle for prog...

Florian Borchert, et al. ∙

research

∙ 01/06/2021

Fine-Grained Complexity of Regular Path Queries

A regular path query (RPQ) is a regular expression q that returns all no...

Katrin Casel, et al. ∙

research

∙ 01/25/2021

CHOLAN: A Modular Approach for Neural Entity Linking on Wikipedia and Wikidata

In this paper, we propose CHOLAN, a modular approach to target end-to-en...

Manoj Prabhakar Kannan Ravi, et al. ∙

research

∙ 02/11/2021

Effectively Testing System Configurations of Critical IoT Analytics Pipelines

The emergence of the Internet of Things has seen the introduction of num...

Morgan Geldenhuys, et al. ∙

research

∙ 03/24/2021

The Complexity of Dependency Detection and Discovery in Relational Databases

Multi-column dependencies in relational databases come associated with t...

Thomas Bläsius, et al. ∙

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