Hasso Plattner Institute

∙ Potsdam , Germany ∙ 0 followers

The Hasso Plattner Institute, abbreviated HPI, is a German information technology institute and faculty of the University of Potsdam located in Potsdam near Berlin.

Multimodal Self-Supervised Learning for Medical Image Analysis

In this paper, we propose a self-supervised learning approach that lever...
12/11/2019 ∙ by Aiham Taleb, et al. ∙ 31 ∙ share

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Poisoning Attacks with Generative Adversarial Nets

Machine learning algorithms are vulnerable to poisoning attacks: An adve...
06/18/2019 ∙ by Luis Muñoz-González, et al. ∙ 13 ∙ share

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Neural Question Answering at BioASQ 5B

This paper describes our submission to the 2017 BioASQ challenge. We par...
06/26/2017 ∙ by Georg Wiese, et al. ∙ 0 ∙ share

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Neural Domain Adaptation for Biomedical Question Answering

Factoid question answering (QA) has recently benefited from the developm...
06/12/2017 ∙ by Georg Wiese, et al. ∙ 0 ∙ share

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

Binary Neural Networks (BNNs) can drastically reduce memory size and acc...
05/27/2017 ∙ by Haojin Yang, et al. ∙ 0 ∙ share

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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 ...
06/17/2016 ∙ by Tim Zimmermann, et al. ∙ 0 ∙ share

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On the Tree Conjecture for the Network Creation Game

Selfish Network Creation focuses on modeling real world networks from a ...
10/04/2017 ∙ by Davide Bilò, et al. ∙ 0 ∙ share

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Notable Characteristics Search through Knowledge Graphs

Query answering routinely employs knowledge graphs to assist the user in...
02/12/2018 ∙ by Davide Mottin, et al. ∙ 0 ∙ share

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

Using university capstone courses to teach agile software development me...
04/10/2018 ∙ by Christoph Matthies, et al. ∙ 0 ∙ share

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Theory of Estimation-of-Distribution Algorithms

Estimation-of-distribution algorithms (EDAs) are general metaheuristics ...
06/14/2018 ∙ by Martin S. Krejca, et al. ∙ 0 ∙ share

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Significance-based Estimation-of-Distribution Algorithms

Estimation-of-distribution algorithms (EDAs) are randomized search heuri...
07/10/2018 ∙ by Benjamin Doerr, et al. ∙ 0 ∙ share

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A Survey on Essential Components of a Self-Sovereign Identity

This paper provides an overview of the Self-Sovereign Identity (SSI) con...
07/17/2018 ∙ by Alexander Mühle, et al. ∙ 0 ∙ share

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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...
09/07/2018 ∙ by Rainer Schlosser, et al. ∙ 0 ∙ share

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Aspects on Finding the Optimal Practical Programming Exercise for MOOCs

Massive Open Online Courses (MOOCs) focus on manifold subjects, ranging ...
09/21/2018 ∙ by Ralf Teusner, et al. ∙ 0 ∙ share

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

A typical problem in MOOCs is the missing opportunity for course conduct...
09/21/2018 ∙ by Ralf Teusner, et al. ∙ 0 ∙ share

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Learning to Train a Binary Neural Network

Convolutional neural networks have achieved astonishing results in diffe...
09/27/2018 ∙ by Joseph Bethge, et al. ∙ 0 ∙ share

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Pareto Optimization for Subset Selection with Dynamic Cost Constraints

In this paper, we consider the subset selection problem for function f w...
11/14/2018 ∙ by Vahid Roostapour, et al. ∙ 0 ∙ share

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Multi-Task Generative Adversarial Network for Handling Imbalanced Clinical Data

We propose a new generative adversarial architecture to mitigate imbalan...
11/22/2018 ∙ by Mina Rezaei, et al. ∙ 0 ∙ share

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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...
12/02/2018 ∙ by Stefan Konigorski, et al. ∙ 0 ∙ share

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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...
01/11/2019 ∙ by Kennedy A. Torkura, et al. ∙ 0 ∙ share

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

We investigate the locality number, a recently introduced structural par...
02/28/2019 ∙ by Katrin Casel, et al. ∙ 0 ∙ share

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

With the recent advances in natural-language processing, combined with t...
03/06/2019 ∙ by Christoph Matthies, et al. ∙ 0 ∙ share

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Geometric Network Creation Games

Network Creation Games are a well-known approach for explaining and anal...
04/15/2019 ∙ by Davide Bilò, et al. ∙ 0 ∙ share

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Efficiently Generating Geometric Inhomogeneous and Hyperbolic Random Graphs

Hyperbolic random graphs (HRG) and geometric inhomogeneous random graphs...
05/16/2019 ∙ by Thomas Bläsius, et al. ∙ 0 ∙ share

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Instant Quantization of Neural Networks using Monte Carlo Methods

Low bit-width integer weights and activations are very important for eff...
05/29/2019 ∙ by Gonçalo Mordido, et al. ∙ 0 ∙ share

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

Binary Neural Networks (BNNs) show promising progress in reducing comput...
06/19/2019 ∙ by Joseph Bethge, et al. ∙ 0 ∙ share

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

Software development comprises complex tasks which are performed by huma...
07/30/2019 ∙ by Christoph Matthies, et al. ∙ 0 ∙ share

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

Customers of cloud services have to trust the cloud providers, as they c...
08/30/2019 ∙ by Robert Buhren, et al. ∙ 0 ∙ share

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The Minimization of Random Hypergraphs

We investigate the maximum-entropy model B_n,m,p for random n-vertex, m-...
10/01/2019 ∙ by Thomas Bläsius, et al. ∙ 0 ∙ share

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

We study the problem of maximizing a non-monotone submodular function un...
11/15/2019 ∙ by Vanja Doskoč, et al. ∙ 0 ∙ share

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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...
11/25/2019 ∙ by Julian Risch, et al. ∙ 0 ∙ share

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

The paper summarises the contributions in a session at GCM 2019 presenti...
12/20/2019 ∙ by Reiko Heckel, et al. ∙ 0 ∙ share

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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 ...
01/06/2020 ∙ by Tamara Slosarek, et al. ∙ 0 ∙ share

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

Binary Neural Networks (BNNs) are neural networks which use binary weigh...
01/16/2020 ∙ by Joseph Bethge, et al. ∙ 0 ∙ share

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Improving the Evaluation of Generative Models with Fuzzy Logic

Objective and interpretable metrics to evaluate current artificial intel...
02/03/2020 ∙ by Julian Niedermeier, et al. ∙ 0 ∙ share

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IMDfence: Architecting a Secure Protocol for Implantable Medical Devices

Over the past decade, focus on the security and privacy aspects of impla...
02/21/2020 ∙ by Muhammad Ali Siddiqi, et al. ∙ 0 ∙ share

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

Comment sections below online news articles enjoy growing popularity amo...
03/26/2020 ∙ by Julian Risch, et al. ∙ 0 ∙ share

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Shortest Distances as Enumeration Problem

We investigate the single source shortest distance (SSSD) and all pairs ...
05/14/2020 ∙ by Katrin Casel, et al. ∙ 0 ∙ share

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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...
05/20/2020 ∙ by Sona Ghahremani, et al. ∙ 0 ∙ share

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More than Code: Contributions in Scrum Software Engineering Teams

Motivated and competent team members are a vital part of Agile Software ...
07/16/2020 ∙ by Frederike Ramin, et al. ∙ 0 ∙ share

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Mining for Process Improvements: Analyzing Software Repositories in Agile Retrospectives

Software Repositories contain knowledge on how software engineering team...
07/16/2020 ∙ by Christoph Matthies, et al. ∙ 0 ∙ share

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The Univariate Marginal Distribution Algorithm Copes Well With Deception and Epistasis

In their recent work, Lehre and Nguyen (FOGA 2019) show that the univari...
07/16/2020 ∙ by Benjamin Doerr, et al. ∙ 0 ∙ share

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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...
07/13/2020 ∙ by Florian Borchert, et al. ∙ 0 ∙ share

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Fine-Grained Complexity of Regular Path Queries

A regular path query (RPQ) is a regular expression q that returns all no...
01/06/2021 ∙ by Katrin Casel, et al. ∙ 0 ∙ share

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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...
01/25/2021 ∙ by Manoj Prabhakar Kannan Ravi, et al. ∙ 0 ∙ share

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Effectively Testing System Configurations of Critical IoT Analytics Pipelines

The emergence of the Internet of Things has seen the introduction of num...
02/11/2021 ∙ by Morgan Geldenhuys, et al. ∙ 0 ∙ share

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The Complexity of Dependency Detection and Discovery in Relational Databases

Multi-column dependencies in relational databases come associated with t...
03/24/2021 ∙ by Thomas Bläsius, et al. ∙ 0 ∙ share

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