L3S Research Center

research

∙ 04/29/2020

Deep Reinforcement Learning with Graph-based State Representations

Deep RL approaches build much of their success on the ability of the dee...

Vikram Waradpande, et al. ∙

research

∙ 04/13/2021

A Review of Anonymization for Healthcare Data

Mining health data can lead to faster medical decisions, improvement in ...

Iyiola E. Olatunji, et al. ∙

research

∙ 05/18/2021

Zorro: Valid, Sparse, and Stable Explanations in Graph Neural Networks

With the ever-increasing popularity and applications of graph neural net...

Thorben Funke, et al. ∙

research

∙ 12/06/2020

Using Machine Learning to Automate Mammogram Images Analysis

Breast cancer is the second leading cause of cancer-related death after ...

Xuejiao Tang, et al. ∙

research

∙ 06/29/2022

Private Graph Extraction via Feature Explanations

Privacy and interpretability are two of the important ingredients for ac...

Iyiola E. Olatunji, et al. ∙

research

∙ 09/17/2019

AdaFair: Cumulative Fairness Adaptive Boosting

The widespread use of ML-based decision making in domains with high soci...

Vasileios Iosifidis, et al. ∙

research

∙ 01/04/2022

Parity-based Cumulative Fairness-aware Boosting

Data-driven AI systems can lead to discrimination on the basis of protec...

Vasileios Iosifidis, et al. ∙

research

∙ 06/23/2021

Learnt Sparsification for Interpretable Graph Neural Networks

Graph neural networks (GNNs) have achieved great success on various task...

Mandeep Rathee, et al. ∙

research

∙ 11/26/2021

A multitask transfer learning framework for the prediction of virus-human protein-protein interactions

Viral infections are causing significant morbidity and mortality worldwi...

Thi Ngan Dong, et al. ∙

research

∙ 02/03/2020

FAE: A Fairness-Aware Ensemble Framework

Automated decision making based on big data and machine learning (ML) al...

Vasileios Iosifidis, et al. ∙

research

∙ 09/18/2021

Releasing Graph Neural Networks with Differential Privacy Guarantees

With the increasing popularity of Graph Neural Networks (GNNs) in severa...

Iyiola E. Olatunji, et al. ∙

research

∙ 10/29/2021

On the Feasibility of Predicting Questions being Forgotten in Stack Overflow

For their attractiveness, comprehensiveness and dynamic coverage of rele...

Thi Huyen Nguyen, et al. ∙

research

∙ 09/30/2021

XPROAX-Local explanations for text classification with progressive neighborhood approximation

The importance of the neighborhood for training a local surrogate model ...

Yi Cai, et al. ∙

research

∙ 01/14/2017

Hedera: Scalable Indexing and Exploring Entities in Wikipedia Revision History

Much of work in semantic web relying on Wikipedia as the main source of ...

Tuan Tran, et al. ∙

research

∙ 07/16/2014

Collaborative Filtering Ensemble for Personalized Name Recommendation

Out of thousands of names to choose from, picking the right one for your...

Bernat Coma-Puig, et al. ∙

research

∙ 07/23/2017

Fine Grained Citation Span for References in Wikipedia

Verifiability is one of the core editing principles in Wikipedia, editor...

Besnik Fetahu, et al. ∙

research

∙ 03/30/2017

Automated News Suggestions for Populating Wikipedia Entity Pages

Wikipedia entity pages are a valuable source of information for direct c...

Besnik Fetahu, et al. ∙

research

∙ 03/30/2017

Finding News Citations for Wikipedia

An important editing policy in Wikipedia is to provide citations for add...

Besnik Fetahu, et al. ∙

research

∙ 02/03/2017

Named Entity Evolution Recognition on the Blogosphere

Advancements in technology and culture lead to changes in our language. ...

Helge Holzmann, et al. ∙

research

∙ 02/03/2017

Extraction of Evolution Descriptions from the Web

The evolution of named entities affects exploration and retrieval tasks ...

Helge Holzmann, et al. ∙

research

∙ 02/03/2017

Named Entity Evolution Analysis on Wikipedia

Accessing Web archives raises a number of issues caused by their tempora...

Helge Holzmann, et al. ∙

research

∙ 02/02/2017

Analysing Temporal Evolution of Interlingual Wikipedia Article Pairs

Wikipedia articles representing an entity or a topic in different langua...

Simon Gottschalk, et al. ∙

research

∙ 01/14/2017

Balancing Novelty and Salience: Adaptive Learning to Rank Entities for Timeline Summarization of High-impact Events

Long-running, high-impact events such as the Boston Marathon bombing oft...

Tuan Tran, et al. ∙

research

∙ 12/12/2014

A Robust Transformation-Based Learning Approach Using Ripple Down Rules for Part-of-Speech Tagging

In this paper, we propose a new approach to construct a system of transf...

Dat Quoc Nguyen, et al. ∙

research

∙ 02/03/2017

Linking Mathematical Software in Web Archives

The Web is our primary source of all kinds of information today. This in...

Helge Holzmann, et al. ∙

research

∙ 02/03/2017

Archiving Software Surrogates on the Web for Future Reference

Software has long been established as an essential aspect of the scienti...

Helge Holzmann, et al. ∙

research

∙ 02/03/2017

The Dawn of Today's Popular Domains: A Study of the Archived German Web over 18 Years

The Web has been around and maturing for 25 years. The popular websites ...

Helge Holzmann, et al. ∙

research

∙ 02/03/2017

ArchiveSpark: Efficient Web Archive Access, Extraction and Derivation

Web archives are a valuable resource for researchers of various discipli...

Helge Holzmann, et al. ∙

research

∙ 02/01/2017

ArchiveWeb: collaboratively extending and exploring web archive collections - How would you like to work with your collections?

Curated web archive collections contain focused digital content which is...

Zeon Trevor Fernando, et al. ∙

research

∙ 02/01/2017

ArchiveWeb: Collaboratively Extending and Exploring Web Archive Collections

Curated web archive collections contain focused digital contents which a...

Zeon Trevor Fernando, et al. ∙

research

∙ 12/19/2016

iCrawl: Improving the Freshness of Web Collections by Integrating Social Web and Focused Web Crawling

Researchers in the Digital Humanities and journalists need to monitor, c...

Gerhard Gossen, et al. ∙

research

∙ 12/19/2016

The iCrawl Wizard -- Supporting Interactive Focused Crawl Specification

Collections of Web documents about specific topics are needed for many a...

Gerhard Gossen, et al. ∙

research

∙ 12/16/2016

Analyzing Web Archives Through Topic and Event Focused Sub-collections

Web archives capture the history of the Web and are therefore an importa...

Gerhard Gossen, et al. ∙

research

∙ 01/22/2018

Ongoing Events in Wikipedia: A Cross-lingual Case Study

In order to effectively analyze information regarding ongoing events tha...

Simon Gottschalk, et al. ∙

research

∙ 02/20/2018

Discovering Hidden Topical Hubs and Authorities in Online Social Networks

Finding influential users in online social networks is an important prob...

Roy Ka-Wei Lee, et al. ∙

research

∙ 03/21/2018

Multiple Models for Recommending Temporal Aspects of Entities

Entity aspect recommendation is an emerging task in semantic search that...

Tu Ngoc Nguyen, et al. ∙

research

∙ 04/12/2018

EventKG: A Multilingual Event-Centric Temporal Knowledge Graph

One of the key requirements to facilitate semantic analytics of informat...

Simon Gottschalk, et al. ∙

research

∙ 05/02/2018

Predicting User Knowledge Gain in Informational Search Sessions

Web search is frequently used by people to acquire new knowledge and to ...

Ran Yu, et al. ∙

research

∙ 05/03/2018

EventKG+TL: Creating Cross-Lingual Timelines from an Event-Centric Knowledge Graph

The provision of multilingual event-centric temporal knowledge graphs su...

Simon Gottschalk, et al. ∙

research

∙ 06/20/2018

An Analytics Tool for Exploring Scientific Software and Related Publications

Scientific software is one of the key elements for reproducible research...

Anett Hoppe, et al. ∙

research

∙ 06/28/2018

Detecting, Understanding and Supporting Everyday Learning in Web Search

Web search is among the most ubiquitous online activities, commonly used...

Ran Yu, et al. ∙

research

∙ 06/29/2018

Posthoc Interpretability of Learning to Rank Models using Secondary Training Data

Predictive models are omnipresent in automated and assisted decision mak...

Jaspreet Singh, et al. ∙

research

∙ 07/17/2018

User Fairness in Recommender Systems

Recent works in recommendation systems have focused on diversity in reco...

Jurek Leonhardt, et al. ∙

research

∙ 08/15/2018

LogCanvas: Visualizing Search History Using Knowledge Graphs

In this demo paper, we introduce LogCanvas, a platform for user search h...

Luyan Xu, et al. ∙

research

∙ 08/24/2018

A Trio Neural Model for Dynamic Entity Relatedness Ranking

Measuring entity relatedness is a fundamental task for many natural lang...

Tu Nguyen, et al. ∙

research

∙ 09/11/2018

EXS: Explainable Search Using Local Model Agnostic Interpretability

Retrieval models in information retrieval are used to rank documents for...

Jaspreet Singh, et al. ∙

research

∙ 09/13/2018

Interpreting search result rankings through intent modeling

Given the recent interest in arguably accurate yet non-interpretable neu...

Jaspreet Singh, et al. ∙

research

∙ 09/19/2018

Distances for WiFi Based Topological Indoor Mapping

For localization and mapping of indoor environments through WiFi signals...

Bastian Schäfermeier, et al. ∙

research

∙ 09/21/2018

Towards Better Understanding Researcher Strategies in Cross-Lingual Event Analytics

With an increasing amount of information on globally important events, t...

Simon Gottschalk, et al. ∙

research

∙ 10/23/2018

Heuristics-based Query Reordering for Federated Queries in SPARQL 1.1 and SPARQL-LD

The federated query extension of SPARQL 1.1 allows executing queries dis...

Thanos Yannakis, et al. ∙

L3S Research Center

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