34 citations · 60 across the 13 of their papers we have counts for
14 papers
To Softmax, or not to Softmax: that is the question when applying Active Learning for Transformer Models
Julius Gonsior, Christian Falkenberg, Silvio Magino +3
Despite achieving state-of-the-art results in nearly all Natural Language Processing applications, fine-tuning Transformer-based language models still requires a significant amount…
ImitAL: Learning Active Learning Strategies from Synthetic Data
Julius Gonsior, Maik Thiele, Wolfgang Lehner
One of the biggest challenges that complicates applied supervised machine learning is the need for huge amounts of labeled data. Active Learning (AL) is a well-known standard metho…
Accurate and Efficient Time Series Matching by Season- and Trend-aware Symbolic Approximation -- Extended Version Including Additional Evaluation and Proofs
Lars Kegel, Claudio Hartmann, Maik Thiele +1
Processing and analyzing time series data\-sets have become a central issue in many domains requiring data management systems to support time series as a native data type. A crucia…
Machine Learning-based Cardinality Estimation in DBMS on Pre-Aggregated Data
Lucas Woltmann, Claudio Hartmann, Dirk Habich +1
Cardinality estimation is a fundamental task in database query processing and optimization. As shown in recent papers, machine learning (ML)-based approaches can deliver more accur…
MorphStore: Analytical Query Engine with a Holistic Compression-Enabled Processing Model
Patrick Damme, Annett Ungethüm, Johannes Pietrzyk +3
In this paper, we present MorphStore, an open-source in-memory columnar analytical query engine with a novel holistic compression-enabled processing model. Basically, compression u…
RETRO: Relation Retrofitting For In-Database Machine Learning on Textual Data
Michael Günther, Maik Thiele, Wolfgang Lehner
There are massive amounts of textual data residing in databases, valuable for many machine learning (ML) tasks. Since ML techniques depend on numerical input representations, word…
Conjunctive Queries with Theta Joins Under Updates
Muhammad Idris, Martín Ugarte, Stijn Vansummeren +2
Modern application domains such as Composite Event Recognition (CER) and real-time Analytics require the ability to dynamically refresh query results under high update rates. Tradi…
Persistent Buffer Management with Optimistic Consistency
Lucas Lersch, Wolfgang Lehner, Ismail Oukid
Finding the best way to leverage non-volatile memory (NVM) on modern database systems is still an open problem. The answer is far from trivial since the clear boundary between memo…
A Cost-based Storage Format Selector for Materialization in Big Data Frameworks
Rana Faisal Munir, Alberto Abelló, Oscar Romero +2
Modern big data frameworks (such as Hadoop and Spark) allow multiple users to do large-scale analysis simultaneously. Typically, users deploy Data-Intensive Workflows (DIWs) for th…
Asynchronous Graph Pattern Matching on Multiprocessor Systems
Alexander Krause, Annett Ungethüm, Thomas Kissinger +2
Pattern matching on large graphs is the foundation for a variety of application domains. Strict latency requirements and continuously increasing graph sizes demand the usage of hig…
Living in Parallel Realities -- Co-Existing Schema Versions with a Bidirectional Database Evolution Language
Kai Herrmann, Hannes Voigt, Andreas Behrend +2
We introduce end-to-end support of co-existing schema versions within one database. While it is state of the art to run multiple versions of a continuously developed application co…
GraphVista: Interactive Exploration Of Large Graphs
Marcus Paradies, Michael Rudolf, Wolfgang Lehner
The potential to gain business insights from graph-structured data through graph analytics is increasingly attracting companies from a variety of industries, ranging from web compa…
GRAPHITE: An Extensible Graph Traversal Framework for Relational Database Management Systems
Marcus Paradies, Wolfgang Lehner, Christof Bornhoevd
Graph traversals are a basic but fundamental ingredient for a variety of graph algorithms and graph-oriented queries. To achieve the best possible query performance, they need to b…
Identifying And Weighting Integration Hypotheses On Open Data Platforms
Julian Eberius, Katrin Braunschweig, Maik Thiele +1
Open data platforms such as data.gov or opendata.socrata. com provide a huge amount of valuable information. Their free-for-all nature, the lack of publishing standards and the mul…