Maik Thiele

发表

Enhancing Named Entity Extraction by Effectively Incorporating the Crowd

Wolfgang Lehner, Maik Thiele, Julian Eberius, 2013, BTW Workshops.

On-Demand ELT Architecture for Right-Time BI: Extending the Vision

Maik Thiele, Pedro Furtado, Robert Wrembel, 2013, Int. J. Data Warehous. Min..

The State of Open Data Limits of Current Open Data Platforms

Katrin Braunschweig, Maik Thiele, Julian Eberius, 2012 .

RecipeGM: A Hierarchical Recipe Generation Model

Wolfgang Lehner, Maik Thiele, Anja Reusch, 2021, 2021 IEEE 37th International Conference on Data Engineering Workshops (ICDEW).

Synthetic Sr–Ca margarite, anorthite and slawsonite solid solutions and solid–fluid Sr–Ca fractionation

Maik Thiele, A. Liebscher, M. Gottschalk, 2009 .

Exploratory Ad-Hoc Analytics for Big Data

Wolfgang Lehner, Maik Thiele, Julian Eberius, 2017, Handbook of Big Data Technologies.

Considering User Intention in Differential Graph Queries

Wolfgang Lehner, Elena Vasilyeva, Maik Thiele, 2015, J. Database Manag..

Top-k Differential Queries in Graph Databases

Wolfgang Lehner, Elena Vasilyeva, Maik Thiele, 2014, ADBIS.

Leveraging flexible data management with graph databases

Wolfgang Lehner, Elena Vasilyeva, Maik Thiele, 2013, GRADES.

WeakAL: Combining Active Learning and Weak Supervision

Wolfgang Lehner, Maik Thiele, Julius Gonsior, 2020, DS.

A Genetic-Based Search for Adaptive Table Recognition in Spreadsheets

Wolfgang Lehner, Maik Thiele, Elvis Koci, 2019, 2019 International Conference on Document Analysis and Recognition (ICDAR).

Cardinality estimation with local deep learning models

Wolfgang Lehner, Dirk Habich, Maik Thiele, 2019, aiDM@SIGMOD.

Parallelizing user–defined functions in the ETL workflow using orchestration style sheets

Maik Thiele, Johannes Mey, Syed Muhammad Fawad Ali, 2019, Int. J. Appl. Math. Comput. Sci..

A Domain-Specific Language for Do-It-Yourself Analytical Mashups

Wolfgang Lehner, Maik Thiele, Julian Eberius, 2011, ICWE Workshops.

An ALBERT-based Similarity Measure for Mathematical Answer Retrieval

Wolfgang Lehner, Maik Thiele, Anja Reusch, 2021, SIGIR.

FacetE: exploiting web tables for domain-specific word embedding evaluation

Maik Thiele, Wolfgang Lehner, Michael Günther, 2020, DBTest@SIGMOD.

Top-k entity augmentation using consistent set covering

Wolfgang Lehner, Maik Thiele, Julian Eberius, 2015, SSDBM.

Quality measures for ETL processes: from goals to implementation

Wolfgang Lehner, Vasileios Theodorou, Maik Thiele, 2016, Concurr. Comput. Pract. Exp..

Transformer-Encoder and Decoder Models for Questions on Math

Maik Thiele, Wolfgang Lehner, Anja Reusch, 2022, CLEF.

TU_DBS in the ARQMath Lab 2021, CLEF

Wolfgang Lehner, Maik Thiele, Anja Reusch, 2021, CLEF.

From Web Tables to Concepts: A Semantic Normalization Approach

Wolfgang Lehner, Maik Thiele, Katrin Braunschweig, 2015, ER.

Building the Dresden Web Table Corpus: A Classification Approach

Wolfgang Lehner, Maik Thiele, Julian Eberius, 2015, 2015 IEEE/ACM 2nd International Symposium on Big Data Computing (BDC).

RETRO: Relation Retrofitting For In-Database Machine Learning on Textual Data

Maik Thiele, Wolfgang Lehner, Michael Günther, 2019, EDBT.

ImitAL: Learning Active Learning Strategies from Synthetic Data pdf

Wolfgang Lehner, Maik Thiele, Julius Gonsior, 2021, ArXiv.

A Machine Learning Approach for Layout Inference in Spreadsheets

Wolfgang Lehner, Maik Thiele, Oscar Romero, 2016, KDIR.

One Clustering Process Fits All - A Visually Guided Ensemble Approach

Wolfgang Lehner, Dirk Habich, Maik Thiele, 2010, LWA.

RetroLive: Analysis of Relational Retrofitted Word Embeddings

Wolfgang Lehner, Michael Günther, Maik Thiele, 2020, EDBT.

Active Learning for Spreadsheet Cell Classification

Wolfgang Lehner, Michael Günther, Maik Thiele, 2020, EDBT/ICDT Workshops.

ImitAL: Learned Active Learning Strategy on Synthetic Data

Maik Thiele, Wolfgang Lehner, Julius Gonsior, 2022, DS.

ALWars: Combat-Based Evaluation of Active Learning Strategies

Maik Thiele, Julius Gonsior, Jakob Krude, 2022, ECIR.

Partition-based workload scheduling in living data warehouse environments

Wolfgang Lehner, Maik Thiele, Ulrike Fischer, 2007, DOLAP '07.

Table Recognition in Spreadsheets via a Graph Representation

Wolfgang Lehner, Maik Thiele, Oscar Romero, 2018, 2018 13th IAPR International Workshop on Document Analysis Systems (DAS).

Learning from Textual Data in Database Systems

Wolfgang Lehner, Maik Thiele, Michael Günther, 2020, CIKM.

Multi-objective scheduling for real-time data warehouses

Wolfgang Lehner, Maik Thiele, Andreas Bader, 2009, Computer Science - Research and Development.

Real-Time BI and Situational Analysis

Wolfgang Lehner, Maik Thiele, Maik Thiele, 2012 .

Answering "Why Empty?" and "Why So Many?" queries in graph databases

Wolfgang Lehner, Elena Vasilyeva, Maik Thiele, 2016, J. Comput. Syst. Sci..

A Framework for User-Centered Declarative ETL

Wolfgang Lehner, Vasileios Theodorou, Maik Thiele, 2014, DOLAP '14.

Intermediate Results Materialization Selection and Format for Data-Intensive Flows

Wolfgang Lehner, Maik Thiele, Alberto Abelló, 2018, Fundam. Informaticae.

Setting Goals and Choosing Metrics for Recommender System Evaluations

Maik Thiele, G. Schröder, Wolfgang Lehner, 2011 .

Transformer-Encoder and Decoder Models for Questions on Math

Maik Thiele, Wolfgang Lehner, Anja Reusch, 2022, CLEF.

Wolfgang Lehner, Maik Thiele, Robert Wrembel, 2017, ASONAM.

OPEN—Enabling Non-expert Users to Extract, Integrate, and Analyze Open Data

Katrin Braunschweig, Maik Thiele, Julian Eberius, 2012, Datenbank-Spektrum.

Pre-Trained Web Table Embeddings for Table Discovery

Wolfgang Lehner, Maik Thiele, Michael Günther, 2021, aiDM@SIGMOD.