Secure Mediation with Mobile Code. - Joachim Biskup; Barbara Sprick; Lena Wiese (DBSec, 2005)

On Finding an Inference-Proof Complete Database for Controlled Query Evaluation. - Joachim Biskup; Lena Wiese (DBSec, 2006)

Secure Mediation of Join Queries by Processing Ciphertexts. - Joachim Biskup; Christian Tsatedem; Lena Wiese (ICDE Workshops, 2007)

Inference Control in Logic Databases as a Constraint Satisfaction Problem. - Joachim Biskup; Dominique Marc Burgard; Torben Weibert; Lena Wiese (ICISS, 2007)

Change Propagation with the Change Notification Bus. - Tobias Rodenbach; Lena Wiese (Software Engineering (Workshops), 2008)

Preprocessing for controlled query evaluation with availability policy. - Joachim Biskup; Lena Wiese (J. Comput. Secur., 2008)

Using SAT-Solvers to Compute Inference-Proof Database Instances. - Cornelia Tadros; Lena Wiese (DPM/SETOP, 2009)

Combining Consistency and Confidentiality Requirements in First-Order Databases. - Joachim Biskup; Lena Wiese (ISC, 2009)

Preprocessing for controlled query evaluation in complete first-order databases. - Lena Wiese (2009)

Towards Controlled Query Evaluation for Incomplete First-Order Databases. - Joachim Biskup; Cornelia Tadros; Lena Wiese (FoIKS, 2010)

Keeping Secrets in Possibilistic Knowledge Bases with Necessity-Valued Privacy Policies. - Lena Wiese (IPMU, 2010)

Horizontal Fragmentation for Data Outsourcing with Formula-Based Confidentiality Constraints. - Lena Wiese (IWSEC, 2010)

Generalizing Conjunctive Queries for Informative Answers. - Katsumi Inoue; Lena Wiese (FQAS, 2011)

Confidentiality-Preserving Publishing of EDPs for Credulous and Skeptical Users. - Katsumi Inoue; Chiaki Sakama; Lena Wiese (INAP/WLP, 2011)

On the Inference-Proofness of Database Fragmentation Satisfying Confidentiality Constraints. - Joachim Biskup; Marcel Preuß; Lena Wiese (ISC, 2011)

Confidentiality-Preserving Data Publishing for Credulous Users by Extended Abduction - Katsumi Inoue; Chiaki Sakama; Lena Wiese (CoRR, 2011)

A sound and complete model-generation procedure for consistent and confidentiality-preserving databases. - Joachim Biskup; Lena Wiese (Theor. Comput. Sci., 2011)

Implementing Inductive Concept Learning For Cooperative Query Answering. - Maheen Bakhtyar; Nam Dang; Katsumi Inoue; Lena Wiese (GfKl, 2012)

Applications of Ordinal Ranks to Flexible Query Answering. - Lucie Urbanova; Vilém Vychodil; Lena Wiese (SUM, 2012)

Enhancing Algebraic Query Relaxation with Semantic Similarity - Lena Wiese (CoRR, 2012)

Filtering of Unrelated Answers in a CooperativeQuery Answering System. - Maheen Bakhtyar; Lena Wiese; Katsumi Inoue; Nam Dang (DaEng, 2013)

Syntactic Similarity for Ranking Database Answers Obtained by Anti-Instantiation. - Lena Wiese (KI, 2013)

Taxonomy-Based Fragmentation for Anti-instantiation in Distributed Databases. - Lena Wiese (UCC, 2013)

Benchmarking Encrypted Data Storage in HBase and Cassandra with YCSB. - Tim Waage; Lena Wiese (FPS, 2014)

Clustering-based fragmentation and data replication for flexible query answering in distributed databases. - Lena Wiese (J. Cloud Comput., 2014)

Advanced Data Management for SQL, NoSQL, Cloud and Distributed Databases - Lena Wiese (DeGruyter, 2015)

Horizontal Fragmentation and Replication for Multiple Relaxation Attributes. - Lena Wiese (BICOD, 2015)

Ontology-Driven Data Partitioning and Recovery for Flexible Query Answering. - Lena Wiese (DEXA (2), 2015)

Enhanced Processing of METS/MODS Library Metadata in CouchDB. - Araek Tashkandi; Lena Wiese (DEXA Workshops, 2015)

Searchable Encryption in Apache Cassandra. - Tim Waage; Ramaninder Singh Jhajj; Lena Wiese (FPS, 2015)

Ontologie-basierte Fragmentierungs- und Replikationsverfahren für verteilte Datenbanksysteme. - Lena Wiese (GvD, 2015)

Polyglot Database Architectures = Polyglot Challenges. - Lena Wiese (LWA, 2015)

Ein Replikationsschema für multiple Fragmentierungen mit überlappenden Fragmenten. - Ferdinand Bollwein; Lena Wiese (GvD, 2016)

Practical Application of Order-preserving Encryption in Wide Column Stores. - Tim Waage; Daniel Homann; Lena Wiese (SECRYPT, 2016)

Implementierung von kryptographischen Sicherheitsverfahren für Apache Cassandra und Apache HBase. - Tim Waage; Lena Wiese (HMD Prax. Wirtsch., 2016)

Closeness Constraints for Separation of Duties in Cloud Databases as an Optimization Problem. - Ferdinand Bollwein; Lena Wiese (BICOD, 2017)

BigBIA17 - Vorwort. - Benjamin Klöpper; Lena Wiese (BTW (Workshops), 2017)

Comparative Evaluation for Recommender Systems for Book Recommendations. - Araek Tashkandi; Lena Wiese; Marcus Baum (BTW (Workshops), 2017)

Flexible Query Answering with the powerset-AI Operator and Star-Based Ranking. - Lena Wiese (FQAS, 2017)

Distributed Storage-Adaptable RDF Graph Store Over Cloud Infrastructure. - Ahmed I. A. Al-Ghezi; Lena Wiese (Grundlagen von Datenbanken, 2017)

Implementing a Similarity Searchable Encryption Scheme for Cloud Database Usage. - Christian Göge; Tim Waage; Lena Wiese (Grundlagen von Datenbanken, 2017)

Separation of Duties for Multiple Relations in Cloud Databases as an Optimization Problem. - Ferdinand Bollwein; Lena Wiese (IDEAS, 2017)

Property Preserving Encryption in NoSQL Wide Column Stores. - Tim Waage; Lena Wiese (OTM Conferences (2), 2017)

Dynamic Similarity Search over Encrypted Data with Low Leakage. - Daniel Homann; Christian Göge; Lena Wiese (STM, 2017)

Improving Fuzzy Searchable Encryption with Direct Bigram Embedding. - Christian Göge; Tim Waage; Daniel Homann; Lena Wiese (TrustBus, 2017)

A Replication Scheme for Multiple Fragmentations with Overlapping Fragments. - Lena Wiese; Tim Waage; Ferdinand Bollwein (Comput. J., 2017)

CloudDBGuard: Enabling Sorting and Searching on Encrypted Data in NoSQL Cloud Databases. - Tim Waage; Lena Wiese (DaWaK, 2018)

Adaptive Workload-Based Partitioning and Replication for RDF Graphs. - Ahmed I. A. Al-Ghezi; Lena Wiese (DEXA (2), 2018)

Space-Adaptive and Workload-Aware Replication and Partitioning for Distributed RDF Triple Stores. - Ahmed I. A. Al-Ghezi; Lena Wiese (DEXA Workshops, 2018)

Classifying Leukemia and Gout Patients with Neural Networks. - Guryash Bahra; Lena Wiese (DEXA Workshops, 2018)

Construction and Visualization of Dynamic Biological Networks: Benchmarking the Neo4J Graph Database. - Lena Wiese; Chimi Wangmo; Lukas Steuernagel; Armin Otto Schmitt; Mehmet Gültas (DILS, 2018)

Homomorphe Verschlüsselung für Cloud-Datenbanken: Übersicht und Anforderungsanalyse. - Lena Wiese; Daniel Homann; Tim Waage; Michael Brenner 003 (Sicherheit, 2018)

On the Hardness of Separation of Duties Problems for Cloud Databases. - Ferdinand Bollwein; Lena Wiese (TrustBus, 2018)

Efficient In-Database Patient Similarity Analysis for Personalized Medical Decision Support Systems. - Araek Tashkandi; Ingmar Wiese; Lena Wiese (Big Data Res., 2018)

Keeping Secrets by Separation of Duties While Minimizing the Amount of Cloud Servers. - Ferdinand Bollwein; Lena Wiese (Trans. Large Scale Data Knowl. Centered Syst., 2018)

Data Analytics with Graph Algorithms - A Hands-on Tutorial with Neo4J. - Lena Wiese (BTW (Workshops), 2019)

Towards Generating Consumer Labels for Machine Learning Models. - Christin Seifert; Stefanie Scherzinger; Lena Wiese (CogMI, 2019)

The Best of Both Worlds: Challenges in Linking Provenance and Explainability in Distributed Machine Learning. - Stefanie Scherzinger; Christin Seifert; Lena Wiese (ICDCS, 2019)

A Hybrid Machine Learning Approach for Improving Mortality Risk Prediction on Imbalanced Data. - Araek Tashkandi; Lena Wiese (iiWAS, 2019)

A Graph Database for Persistent Identifiers. - Triet Doan; Lena Wiese; Sven Bingert; Ramin Yahyapour (LWDA, 2019)

UniAdapt: universal adaption of replication and indexes in distributed RDF triples stores. - Ahmed I. A. Al-Ghezi; Lena Wiese (SBD@SIGMOD, 2019)

Publishing inference-proof relational data: An implementation and experiments. - Joachim Biskup; Christine Dahn; Katharina Diekmann; Ralf Menzel; Dirk Schalge; Lena Wiese (Data Knowl. Eng., 2019)

Concept acquisition and improved in-database similarity analysis for medical data. - Ingmar Wiese; Nicole Sarna; Lena Wiese; Araek Tashkandi; Ulrich Sax (Distributed Parallel Databases, 2019)

Inference Attacks on Fuzzy Searchable Encryption Schemes. - Daniel Homann; Lena Wiese (Trans. Data Priv., 2019)

Big Data Technologies for DNA Sequencing. - Lena Wiese; Armin Otto Schmitt; Mehmet Gültas (Encyclopedia of Big Data Technologies, 2019)

LWDA 2019 Poster. - Triet Doan; Lena Wiese; Sven Bingert; Ramin Yahyapour (GRO.data, 2019)

LWDA 2019 Poster. - Triet Doan; Lena Wiese; Sven Bingert; Ramin Yahyapour (GRO.data, 2019)

LWDA 2019 Poster. - Triet Doan; Lena Wiese; Sven Bingert; Ramin Yahyapour (GRO.data, 2019)

LWDA 2019 Poster. - Triet Doan; Lena Wiese; Sven Bingert; Ramin Yahyapour (GRO.data, 2019)

Benchmarking a distributed database design that supports patient cohort identification. - Jero Mario Schäfer; Ulrich Sax; Lena Wiese (IDEAS, 2020)

A Comparison of Two Database Partitioning Approaches that Support Taxonomy-Based Query Answering. - Jero Mario Schäfer; Lena Wiese (iiWAS, 2020)

CloudDBGuard: A framework for encrypted data storage in NoSQL wide column stores. - Lena Wiese; Tim Waage; Michael Brenner 003 (Data Knowl. Eng., 2020)

Parameterizing neural networks for disease classification. - Guryash Bahra; Lena Wiese (Expert Syst. J. Knowl. Eng., 2020)

Sampling methods and feature selection for mortality prediction with neural networks. - Christian Steinmeyer; Lena Wiese (J. Biomed. Informatics, 2020)

Interpreting Decision-Making Process for Multivariate Time Series Classification. - Rufat Babayev; Lena Wiese (ADBIS (Short Papers), 2021)

Universal Storage Adaption for Distributed RDF-Triple Stores. - Ahmed I. A. Al-Ghezi; Lena Wiese (DaWaK, 2021)

Benchmarking Multi-instance Learning for Multivariate Time Series Analysis. - Rufat Babayev; Lena Wiese (Poly/DMAH@VLDB, 2021)

Automating Bronchoconstriction Analysis based on U-Net. - Christian Steinmeyer; Susann Dehmel; David Theidel; Armin Braun; Lena Wiese (EDBT/ICDT Workshops, 2021)

Developing a Data Driven Approach for Early Detection of SIRS in Pediatric Intensive Care Using Automatically Labeled Training Data. - Marcel Mast; Michael Marschollek; Louisa Bode; Antje Wulff; Sven Schamer; Henning Rathert; Thomas Jack; Philipp Beerbaum; Nicole Rübsamen; Julia Böhnke; André Karch; Pronaya Prosun; et al. (ICIMTH, 2021)

Software Quality Assessment of a Web Application for Biomedical Data Analysis. - Lena Wiese; Ingmar Wiese; Kristina Lietz (IDEAS, 2021)

NNCompare: a framework for dataset selection, data augmentation and comparison of different neural networks for medical image analysis. - Lena Wiese; Deborah Höltje (DEEM@SIGMOD, 2021)

One DB Does Not Fit It All: Teaching the Differences in Advanced Database Systems. - Lena Wiese; Aboubakr Benabbas; Golnaz Elmamooz; Daniela Nicklas 001 (Datenbank-Spektrum, 2021)

Analysing Workload Trends for Boosting Triple Stores Performance. - Ahmed I. A. Al-Ghezi; Lena Wiese (ADBIS, 2022)

Clustering-Based Subgroup Detection for Automated Fairness Analysis. - Jero Mario Schäfer; Lena Wiese (ADBIS (Short Papers), 2022)

Modelling of Efficient Graph-aware Data Storage using DNA. - Asad R. Usmani; Lena Wiese (DATA, 2022)

Efficient Subgraph Indexing for Biochemical Graphs. - Chimi Wangmo; Lena Wiese (DATA, 2022)

SubTempora: A Hybrid Approach for Optimising Subgraph Searching. - Chimi Wangmo; Lena Wiese (DATA (Revised Selected Papers), 2022)

ASDF-Dashboard: Automated Subgroup Detection and Fairness Analysis. - Jero Schäfer; Lena Wiese (LWDA, 2022)

SeCCA: Towards Privacy-Preserving Biclustering Algorithm with Homomorphic Encryptions. - Shokofeh VahidianSadegh; Lena Wiese; Michael Brenner 003 (Privacy and Identity Management, 2022)

Graph4Med: a web application and a graph database for visualizing and analyzing medical databases. - Jero Mario Schäfer; Ming Tang; Danny Luu; Anke Bergmann; Lena Wiese (BMC Bioinform., 2022)

Explainability Based on Feature Importance for Better Comprehension of Machine Learning in Healthcare. - Pronaya Prosun Das; Lena Wiese (ADBIS (Short Papers), 2023)

Development of an End-to-End Web Application for Visualization, Evaluation, and Post-processing of Result Data from Neural Network Predictions for the Melanoma Use Case. - Chiara Tappermann; Mohan Xu; Lena Wiese; Babak Saremi (ICWE Workshops, 2023)

Algorithmic Fairness in Healthcare Data with Weighted Loss and Adversarial Learning. - Pronaya Prosun Das; Marcel Mast; Lena Wiese; Thomas Jack; Antje Wulff (IntelliSys (3), 2023)

Application and Performance Improvement of Transfer Learning on ICBHI Lung Sound Dataset. - Mohan Xu; Lena Wiese (IntelliSys (1), 2023)

Privacy-Preserving Medical Data Generation Using Adversarial Learning. - Pronaya Prosun Das; Despina Tawadros; Lena Wiese (ISC, 2023)

SuMExplorer: Summarisation-based Frequent Subgraph Mining for Visual Exploratory Subgraph Searching. - Chimi Wangmo; Lena Wiese (LWDA, 2023)

DNA-Based Storage of RDF Graph Data: A Futuristic Approach to Data Analytics. - Asad R. Usmani; Lena Wiese (IEEE Access, 2023)

Genealyzer: web application for the analysis and comparison of gene expression data. - Kristina Lietz; Babak Saremi; Lena Wiese (BMC Bioinform., 2023)

Comparing Image Segmentation Neural Networks for the Analysis of Precision Cut Lung Slices. - Mohan Xu; Susann Dehmel; Lena Wiese (Bildverarbeitung für die Medizin, 2024)

UniPart: Optimizing Streaming Graph Partitioning Towards Universal Adaption in RDF Triple Stores. - Wenhui Ya; Lena Wiese; Ahmed I. A. Al-Ghezi (SEMANTICS, 2024)

An Information System for Training Assessment in Sports Analytics. - Vanessa Meyer; Lena Wiese; Ahmed I. A. Al-Ghezi (ICEIS (1), 2024)

A Unified Teaching Platform for (No)SQL Databases. - Vanessa Meyer; Lena Wiese; Ahmed I. A. Al-Ghezi (ICEIS (1), 2024)

Analyzing Learning Patterns, Task Difficulty and Usability in a Digital Database Learning Tool. - Vanessa Meyer; Lena Wiese; Ahmed I. A. Al-Ghezi (ITHET, 2024)

Analyzing workload trends for boosting triple stores performance. - Ahmed I. A. Al-Ghezi; Lena Wiese (Inf. Syst., 2024)

Modelling for Efficient Scientific Data Storage Using Simple Graphs in DNA. - Asad R. Usmani; Lena Wiese (SN Comput. Sci., 2024)

An Experimental Evaluation of Summarisation-Based Frequent Subgraph Mining for Subgraph Searching. - Chimi Wangmo; Lena Wiese (SN Comput. Sci., 2024)

Der Lehrstuhl "Datenbanktechnologien und Datenanalytik" an der Goethe-Universität Frankfurt. - Lena Wiese; Ahmed I. A. Al-Ghezi; Vanessa Meyer; Jero Schäfer (Datenbank-Spektrum, 2024)

Segmify: A Deep Learning-Based Interactive Tool for Real-Time Cell Segmentation and Morphological Analysis. - Despina Tawadros; Lena Wiese (BTW, 2025)

FunBic-CCA: Function Secret Sharing for Biclusterings Applied to Cheng and Church Algorithm. - Shokofeh VahidianSadegh; Alberto Ibarrondo; Lena Wiese (SECRYPT, 2025)

FunBic-CCA: Function Secret Sharing for Biclusterings Applied to Cheng and Church Algorithm (Extended Version). - Shokofeh VahidianSadegh; Alberto Ibarrondo; Lena Wiese (IACR Cryptol. ePrint Arch., 2025)

Adaptive neighborhood triplet loss: enhanced segmentation of dermoscopy datasets by mining pixel information. - Mohan Xu; Lena Wiese (Int. J. Comput. Assist. Radiol. Surg., 2025)

An attention-based bidirectional LSTM-CNN architecture for the early prediction of sepsis. - Pronaya Prosun Das; Lena Wiese; Marcel Mast; Julia Böhnke; Antje Wulff; Michael Marschollek; Louisa Bode; Henning Rathert; Thomas Jack; Sven Schamer; Philipp Beerbaum; Nicole Rübsamen; et al. (Int. J. Data Sci. Anal., 2025)