LWDA 2021 - Call for Papers - FGKDML

Lernen. Wissen. Daten. Analysen. - Learning. Knowledge. Data. Analytics.

LWDA 2021 at MCML, Munich, 01.09–03.09.2021.

LWDA 2021 in Munich

Fachgruppe Knowledge Discovery and Machine Learning

KDML is a workshop series that aims at bringing together the German Machine Learning and Data Mining community. The KDML 2021 Workshop is co-located with the annual LWDA 2021 – Learning, Knowledge, Data, Analytics – conference that will take place as an online conference organized by the Munich Center for Machine Learning (MCML) from September 01, 2021 to September 03, 2021.

We invite submissions on all aspects of data mining, knowledge discovery, and machine learning. In addition to original research, we also invite resubmissions of recently published articles at major conference venues related to KDML. Moreover, KDML explicitly invites student submissions.

We encourage submissions addressing Fairness in Machine Learning as our focus topic of KDML 2021. As a cross-cutting topic throughout our community we are looking forward to submissions covering formal foundations of fairness in machine learning and a variety of applications of all areas of fair and transparent data analytics.


Wednesday 2021-09-01: 13:30-16:00

  • 11:30-12:00
    Bettina Finzel, René Kollmann, Ines Rieger, Jaspar Pahl and Ute Schmid: Deriving Temporal Prototypes from Saliency Map Clusters for the Analysis of Deep-Learning-based Facial Action Unit Classification (Joint Session)

  • 12:00-12:30
    Michael Steininger, Konstantin Kobs, Padraig Davidson, Anna Krause and Andreas Hotho: Density-based weighting for imbalanced regression (Joint Session)

  • 13:30-13:55
    Leonid Schwenke and Martin Atzmueller: Abstracting Local Transformer Attention for Enhancing Interpretability on Time Series Data

  • 13:55-14:20
    Dominik Dürrschnabel, Maren Koyda and Gerd Stumme: Attribute Selection using Contranominal Scales

  • 14:20-14:45
    Pascal Welke, Fouad Alkhoury, Christian Bauckhage and Stefan Wrobel: Decision Snippet Features

  • 14:45-15:10
    Felix Stamm, Martin Becker, Markus Strohmaier and Florian Lemmerich: Redescription Model Mining

  • 15:10-15:35
    Bastian Schäfermeier, Gerd Stumme and Tom Hanika: Topic Space Trajectories

  • 15:35-16:00
    Deniz Neufeld: Visualization Methods for Periodic Time Series Data

Thursday 2021-09-02: 11:00-12:30

  • 11:00-11:15
    Christopher Hagedorn and Johannes Huegle: Constraint-Based Causal Structure Learning in Multi-GPU Environments

  • 11:15-11:30
    Max Luebbering, Michael Gebauer, Rajkumar Ramamurthy, Maren Pielka, Christian Bauckhage and Rafet Sifa: Utilizing Representation Learning for Robust Text Classification Under Datasetshift

  • 11:30-11:45
    Tobias Rohrer, Ludwig Samuel, Adriatik Gashi, Gunter Grieser and Elke Hergenröther: Foosball table goalkeeper automation using reinforcement learning

  • 11:45-12:00
    Lars Schmarje and Reinhard Koch: Life is not black and white - Combining Semi-Supervised Learning with fuzzy labels

  • 12:00-12:15
    Felix Gonsior, Sascha Mücke and Katharina Morik: Structure Search for Normalizing Flows

  • 12:15-12:30
    Philipp Doebler, Anna Doebler, Philip Buczak and Andreas Groll: Interactions of Scores Derived from Two Groups of Variables: Alternating Lasso Regularization Avoids Overfitting and Finds Interpretable Scores

Thursday 2021-09-02: 13:30-16:00

  • 13:30-13:55
    Simon Omlor and Alexander Munteanu: Oblivious sketching for logistic regression

  • 13:55-14:20
    Daniel Neider, Jean-Raphaël Gaglione, Ivan Gavran, Ufuk Topcu, Bo Wo and Zhe Xu AdvisoRL: Advice-Guided Reinforcement Learning in a non-Markovian Environment

  • 14:20-14:45
    Xuan Xie: Property-Directed Verification and Robustness Certification of Recurrent Neural Networks

  • 14:45-15:10
    Mirko Bunse and Katharina Morik: A PAC Learning Theory for Active Class Selection

  • 15:10-15:35
    Erich Schubert: HACAM: Hierarchical Agglomerative Clustering Around Medoids - and its Limitations

Friday 2021-09-03: 11:00-12:30

  • 11:00-11:15
    Erik Thordsen and Erich Schubert: CANDLE: Classification And Noise Detection With Local Embedding Approximations

  • 11:15-11:30
    Andreas Lohrer, Anna Beer, Maximilian Archimedes Xaver Hünemörder, Jenny Lauterbach, Thomas Seidl and Peer Kröger: AnyCORE - An Anytime Algorithm for Cluster Outlier REmoval

  • 11:30-11:45
    Nil Ayday and Debarghya Ghoshdastidar: Improvement on Incremental Spectral Clustering

  • 11:45-12:10
    Eike Stadtländer, Tamás Horváth and Stefan Wrobel: Learning Weakly Convex Sets in Metric Spaces

Friday 2021-09-03: 13:30-15:00

  • 13:30-13:55
    Mirko Lenz, Premtim Sahitaj, Sean Kallenberg, Christopher Coors, Lorik Dumani, Ralf Schenkel and Ralph Bergmann: Towards an Argument Mining Pipeline Transforming Texts to Argument Graphs

  • 13:55-14:20
    Philip Hausner and Michael Gertz: News Article Extraction Using Graph Embeddings

  • 14:20-14:45
    Patrick Kolpaczki, Viktor Bengs and Eyke Hüllermeier: Identifying Top-k Players in Cooperative Games via Shapley Bandits

Topics of interest include but are not limited to:

  • Foundations, algorithms, models, and theory of machine learning and data mining
  • Supervised, semi-supervised, and unsupervised learning
  • Deep learning and representation learning
  • Rule-based learning and pattern mining
  • Reinforcement learning
  • Fairness and transparency in machine learning
  • Formal guarantees for machine learning
  • Explainability of machine learning
  • Interpretability in machine learning and knowledge discovery
  • Machine learning on networks and graphs such as social networks
  • Temporal, spatial & spatiotemporal data analytics
  • Online learning and machine learning in data streams
  • Text mining and mining unstructured and semi-structured data
  • Prior knowledge and semantics in data analytics
  • Parallel and distributed data analytics
  • Interactive and visual analytics
  • Applications of data mining and machine learning in all domains including life sciences, social sciences, health, financial, environment, engineering, humanities
  • Open source frameworks and tools for data mining and machine learning

Program Chairs

Martin Atzmueller, Osnabrück University
Emmanuel Müller, TU Dort­mund Uni­ver­sity

Program Committee (vorläufig, tbc)

Achim Rettinger, Trier University
Alexander Hinneburg, Martin-Luther-University Halle-Wittenberg
Andreas Hotho, University of Würzburg
Ansgar Scherp, Ulm University
Arthur Zimek, University of Southern Denmark
Bernd Bischl, Ludwig-Maximilians-University Munich
Christian Bauckhage, University of Bonn
Eirini Ntoutsi, Freie Universität Berlin
Ernesto Diaz-Aviles, Libre AI
Florian Lemmerich, University of Passau
Gerd Stumme, University of Kassel
Hannes Mühleisen, Centrum Wiskunde & Informatica (CWI)
Johannes Fürnkranz, JKU Linz
Klaus-Dieter Althoff, University of Hildesheim
Kristian Kersting, TU Darmstadt
Marius Kloft, TU Kaiserslautern
Marwan Hassani, Eindhoven University of Technology
Matthias Hagen, Bauhaus University Weimar
Ralf Krestel, Hasso Plattner Institute
Rainer Gemulla, University of Mannheim
Robert Jäschke, Humboldt-Universität zu Berlin
Stephan Günnemann, TU Munich
Thomas Seidl, Ludwig-Maximilians-University Munich
Ulf Leser, Humboldt-Universität zu Berlin
Ute Schmid, University of Bamberg
Wouter Duivesteijn, Eindhoven University of Technology

Submission Guidelines / Paper format

Submissions should be alternatively: 4-6 pages long for short papers, from 7 up to 12 pages long for full papers. Pre-published Paper, i.e., one-pager summaries for resubmissions recently published at other renowned conferences - 1 Page abstract, plus link to original paper - that will be presented at KDML but will not be re-published. All contributions must be submitted via EasyChair as PDF at: https://easychair.org/conferences/?conf=lwda2021 Please select the track “Knowledge Discovery and Machine Learning (KDML)” when submitting your paper. The publication of the conference proceedings will be with CEUR Workshop Proceedings (CEUR-WS.org). All papers should be formatted with the customized CEUR template: https://www.overleaf.com/read/sxqkrwncfrhg. All workshop participants have to register for the LWDA 2021 conference.

Important Dates

Please note that all deadlines are AoE (Anywhere on Earth).

  • Submission of papers: June 10, 2021 –> June 30, 2021 –> July 18th, 2021
  • Notification of acceptance: July 22, 2021 –> August 6th, 2021 –> August 12th, 2021
  • Camera-ready copy: August 05, 2021 –> August 22nd, 2021
  • Workshop KDML@LWDA: September 01-03, 2021