| 2026 | DEXA | Evaluation of Subgraph Querying from Databases for Mini-Batch Training of Graph Neural Networks. | Daniel Walke, Shweta Pandey, Gunter Saake, Alexander Jarasch, David Broneske, Robert Heyer |
| 2026 | PAKDD | The Imitation Game: Evaluating Persona-Driven LLM Response Behavior in Web Surveys. | Saijal Shahania, Myra Spiliopoulou, David Broneske |
| 2025 | AIAI | SurveyBot: A New Era of Web Survey Pretesting. | Saijal Shahania, Myra Spiliopoulou, David Broneske |
| 2025 | BTW | Poster: Embracing NVM: Optimizing B | Sajad Karim, Fia Wnsche, David Broneske, Michael Kuhn, Gunter Saake |
| 2025 | BTW | Vorwort. | Jan Mhlig, Roland Khn, David Broneske, Dirk Habich |
| 2025 | HPCC | SimKit: Similarity Graphs, Eigendecomposition and Spectral Clustering in Neo4j. | Rahul Mondal, Evelina Ignatova, Jonas Heinzmann, Minh Dung Do, Abhivanth Murali, Daniel Walke, Patrick Cato, Robert A. Becker, Thomas Bleistein, Gunter Saake, David Broneske, Robert Heyer |
| 2025 | NAACL | AutoML Meets Hugging Face: Domain-Aware Pretrained Model Selection for Text Classification. | Parisa Safikhani, David Broneske |
| 2024 | ADMA | Exploring the Advantages and Limitations of Association Rule Mining and Decision Trees for Pattern Mining in Heart Disease Data. | Sadeq Darrab, Florian Kleinert, David Broneske, Gunter Saake |
| 2024 | DATA | Expert Agent Guided Learning with Transformers and Knowledge Graphs. | Chukwuka Victor Obionwu, Bhavya Baburaj Chovatta Valappil, Minu Genty, Maria Jomy, Visakh Padmanabhan, Aishwarya Suresh, Sumat Singh Bedi, David Broneske, Gunter Saake |
| 2024 | ICMLA | Tell Me More! Using Multiple Features for Binary Text Classification with a Zero-Shot Model. | David Broneske, Nikhilkumar Italiya, Fabian Mierisch |
| 2023 | ADBIS | What Happens When Two Multi-Query Optimization Paradigms Combine? - A Hybrid Shared Sub-Expression (SSE) and Materialized View Reuse (MVR) Study. | Bala Gurumurthy, Vasudev Raghavendra Bidarkar, David Broneske, Thilo Pionteck, Gunter Saake |
| 2023 | AusDM | Anomaly Detection Algorithms: Comparative Analysis and Explainability Perspectives. | Sadeq Darrab, Harshitha Allipilli, Sana Ghani, Harikrishnan Changaramkulath, Sricharan Koneru, David Broneske, Gunter Saake |
| 2023 | BTW | Second Workshop on Novel Data Management Ideas on Heterogeneous (Co-)Processors (NoDMC). | David Broneske, Dirk Habich |
| 2023 | DEXA | Investigating Lakehouse-Backbones for Vehicle Sensor Data. | Christopher Vox, David Broneske, Jan Piewek, Janusz Feigel, Gunter Saake |
| 2023 | EuroSys | Intelligent Data Migration Policies in a Write-Optimized Copy-on-Write Tiered Storage Stack. | Johannes Wnsche, Sajad Karim, Michael Kuhn, David Broneske, Gunter Saake |
| 2023 | FCCM | A Flexible and Scalable Reconfigurable FPGA Overlay Architecture for Data-Flow Processing. | Anna Drewes, Vitalii Burtsev, Bala Gurumurthy, Martin Wilhelm, David Broneske, Gunter Saake, Thilo Pionteck |
| 2023 | ICDE | ADAMANT: A Query Executor with Plug-In Interfaces for Easy Co-processor Integration. | Bala Gurumurthy, David Broneske, Gabriel Campero Durand, Thilo Pionteck, Gunter Saake |
| 2023 | ICMLA | A Domain Specific Students' Assistance System For The Provision Of Instructional Feedback. | Chukwuka Victor Obionwu, Taruna Tiwari, Bhavya Baburaj Chovatta Valappil, Nishanth Raikar, Damanpreet Singh Walia, S. M. Laique Abbas, Chukwuemeka E. Okafor, David Broneske, Gunter Saake |
| 2023 | ICMLA | Knowledge Distillation for Quantized Vehicle Sensor Data. | Christopher Vox, Onno Niemann, David Broneske, Jan Piewek, Andreas Udo Sass, Gunter Saake |
| 2023 | IIWAS | WISHFUL - Website Extraction of Institutional Sources with Heterogeneous Factors and User-Driven Linkage. | Saijal Shahania, Myra Spiliopoulou, David Broneske |
| 2023 | IJCNLP | Large Language Models and Low-Resource Languages: An Examination of Armenian NLP. | Hayastan Avetisyan, David Broneske |
| 2023 | ICPRAM | Data Streams: Investigating Data Structures for Multivariate Asynchronous Time Series Prediction Problems. | Christopher Vox, David Broneske, Istiaque Mannafee Shaikat, Gunter Saake |
| 2022 | DATA | Slide-recommendation System: A Strategy for Integrating Instructional Feedback into Online Exercise Sessions. | Victor Obionwu, Vincent Toulouse, David Broneske, Gunter Saake |
| 2022 | DATA | Automatic Instructional Feedback, and a Lecture Hub System: A Strategy Towards Nurturing the Acquisition of a Structured Engagement Behavior. | Victor Obionwu, Vincent Toulouse, David Broneske, Gunter Saake |
| 2021 | ADMA | OPECUR: An Enhanced Clustering-Based Model for Discovering Unexpected Rules. | Sadeq Darrab, Priyamvada Bhardwaj, David Broneske, Gunter Saake |
| 2021 | ICDE | An Investigation of Atomic Synchronization for Sort-Based Group-By Aggregation on GPUs. | Bala Gurumurthy, David Broneske, Martin Schler, Thilo Pionteck, Gunter Saake |
| 2021 | ICDE | Analysis of GPU-Libraries for Rapid Prototyping Database Operations : A look into library support for database operations. | Harish Kumar Harihara Subramanian, Bala Gurumurthy, Gabriel Campero Durand, David Broneske, Gunter Saake |
| 2020 | DaMoN | FPGA-Accelerated compression of integer vectors. | Mahmoud Mohsen, Norman May, Christian Frber, David Broneske |
| 2020 | ICDE | Selective Caching: A Persistent Memory Approach for Multi-Dimensional Index Structures. | Muhammad Attahir Jibril, Philipp Gtze, David Broneske, Kai-Uwe Sattler |
| 2020 | IIWAS | Analysis and Comparison of Block-Splitting-Based Load Balancing Strategies for Parallel Entity Resolution. | Xiao Chen, Nishanth Entoor Venkatarathnam, Kirity Rapuru, David Broneske, Gabriel Campero Durand, Roman Zoun, Gunter Saake |
| 2020 | VLDB | Spread the Good Around! Information Propagation in Schema Matching and Entity Resolution for Heterogeneous Data. | Gabriel Campero Durand, Anshu Daur, Vinayak Kumar, Shivalika Suman, Altaf Mohammed Aftab, Sajad Karim, Prafulla Diwesh, Chinmaya Hegde, Disha Setlur, Syed Md Ismail, David Broneske, Gunter Saake |
| 2020 | SSDBM | Combining Two Worlds: MonetDB with Multi-Dimensional Index Structure Support to Efficiently Query Scientific Data. | Paul Blockhaus, David Broneske, Martin Schler, Veit Kppen, Gunter Saake |
| 2019 | ADBIS | Heterogeneous Committee-Based Active Learning for Entity Resolution (HeALER). | Xiao Chen, Yinlong Xu, David Broneske, Gabriel Campero Durand, Roman Zoun, Gunter Saake |
| 2019 | ADBIS | Automated Vertical Partitioning with Deep Reinforcement Learning. | Gabriel Campero Durand, Rufat Piriyev, Marcus Pinnecke, David Broneske, Balasubramanian Gurumurthy, Gunter Saake |
| 2019 | BTW | 1st Workshop on Novel Data Management Ideas on Heterogeneous (Co-)Processors (NoDMC). | David Broneske, Dirk Habich |
| 2019 | BTW | The Best of Both Worlds: Combining Hand-Tuned and Word-Embedding-Based Similarity Measures for Entity Resolution. | Xiao Chen, Gabriel Campero Durand, Roman Zoun, David Broneske, Yang Li, Gunter Saake |
| 2019 | BTW | Protobase: It's About Time for Backend/Database Co-Design. | Marcus Pinnecke, Gabriel Campero, Roman Zoun, David Broneske, Gunter Saake |
| 2019 | BTW | MSDataStream - Connecting a Bruker Mass Spectrometer to the Internet. | Roman Zoun, Kay Schallert, David Broneske, Wolfram Fenske, Marcus Pinnecke, Robert Heyer, Sven Brehmer, Dirk Benndorf, Gunter Saake |
| 2018 | ADBIS | SIMD Vectorized Hashing for Grouped Aggregation. | Bala Gurumurthy, David Broneske, Marcus Pinnecke, Gabriel Campero Durand, Gunter Saake |
| 2018 | ADBIS | Streaming FDR Calculation for Protein Identification. | Roman Zoun, Kay Schallert, Atin Janki, Rohith Ravindran, Gabriel Campero Durand, Wolfram Fenske, David Broneske, Robert Heyer, Dirk Benndorf, Gunter Saake |
| 2018 | CIKM | Concept Hierarchy Extraction from Legal Literature. | Sabine Wehnert, David Broneske, Stefan Langer, Gunter Saake |
| 2018 | SIGMOD | GridFormation: Towards Self-Driven Online Data Partitioning using Reinforcement Learning. | Gabriel Campero Durand, Marcus Pinnecke, Rufat Piriyev, Mahmoud Mohsen, David Broneske, Gunter Saake, Maya S. Sekeran, Fabin Rodriguez, Laxmi Balami |
| 2018 | VLDB | Low-Latency Transaction Execution on Graphics Processors: Dream or Reality? | Iya Arefyeva, Gabriel Campero Durand, Marcus Pinnecke, David Broneske, Gunter Saake |
| 2017 | BTW | Hardware-Sensitive Scan Operator Variants for Compiled Selection Pipelines. | David Broneske, Andreas Meister, Gunter Saake |
| 2017 | EDBT | Backlogs and Interval Timestamps: Building Blocks for Supporting Temporal Queries in Graph Databases. | Gabriel Campero Durand, Marcus Pinnecke, David Broneske, Gunter Saake |
| 2017 | ICDE | Accelerating Multi-Column Selection Predicates in Main-Memory - The Elf Approach. | David Broneske, Veit Kppen, Gunter Saake, Martin Schler |
| 2017 | ICDE | Are Databases Fit for Hybrid Workloads on GPUs? A Storage Engine's Perspective. | Marcus Pinnecke, David Broneske, Gabriel Campero Durand, Gunter Saake |
| 2015 | SIGMOD | Adaptive Reprogramming for Databases on Heterogeneous Processors. | David Broneske |
| 2014 | EDBT | Toward Hardware-Sensitive Database Operations. | David Broneske, Sebastian Bre, Max Heimel, Gunter Saake |
| 2014 | VLDB | Database Scan Variants on Modern CPUs: A Performance Study. | David Broneske, Sebastian Bre, Gunter Saake |
| 2014 | VLDB | Database Scan Variants on Modern CPUs: A Performance Study. | David Broneske, Sebastian Bre, Gunter Saake |
| 2013 | BTW | Extending an Index-Benchmarking Framework with Non-Invasive Visualization Capability. | David Broneske, Martin Schler, Alexander Grebhahn |