Katharina Morik

Hanna Mykula

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

A Unified Framework for Assessing Energy Efficiency of Machine Learning.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2022

Shrub Ensembles for Online Classification.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Simulation and Machine Learning.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning under Resource Constraints - Volume 3: Applications, 2022

Label Proportion Learning.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning under Resource Constraints - Volume 3: Applications, 2022

Introduction.

[BibT_eX]

[DOI]

Wolfgang Rhode

Proceedings of the Machine Learning under Resource Constraints, 2022

Spatio-Temporal Random Fields.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning under Resource Constraints - Volume 1: Fundamentals, 2022

Editorial.

[BibT_eX]

[DOI]

Jörg Rahnenführer

Christian Wietfeld

Proceedings of the Machine Learning under Resource Constraints - Volume 3: Applications, 2022

Introduction.

[BibT_eX]

[DOI]

Jian-Jia Chen

Proceedings of the Machine Learning under Resource Constraints - Volume 1: Fundamentals, 2022

Key Concepts in Machine Learning and Data Analysis.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning under Resource Constraints, 2022

Quality Assurance in Interlinked Manufacturing Processes.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning under Resource Constraints - Volume 3: Applications, 2022

Summary Extraction from Streams.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning under Resource Constraints - Volume 1: Fundamentals, 2022

2021

Trustworthy AI.

[BibT_eX]

[DOI]

Proceedings of the Reflections on Artificial Intelligence for Humanity, 2021

Give more data, awareness and control to individual citizens, and they will help COVID-19 containment.

[BibT_eX]

[DOI]

Ethics Inf. Technol., 2021

There is no Double-Descent in Random Forests.

[BibT_eX]

[DOI]

CoRR, 2021

Improving the Accuracy-Memory Trade-Off of Random Forests Via Leaf-Refinement.

[BibT_eX]

[DOI]

CoRR, 2021

Explaining Deep Learning Representations by Tracing the Training Process.

[BibT_eX]

[DOI]

CoRR, 2021

Noisy Labels for Weakly Supervised Gamma Hadron Classification.

[BibT_eX]

[DOI]

CoRR, 2021

The Care Label Concept: A Certification Suite for Trustworthy and Resource-Aware Machine Learning.

[BibT_eX]

[DOI]

CoRR, 2021

Providing Meaningful Data Summarizations Using Examplar-based Clustering in Industry 4.0.

[BibT_eX]

[DOI]

Alexander Schulze-Struchtrup

CoRR, 2021

Bit Error Tolerance Metrics for Binarized Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2021

GPU-Accelerated Optimizer-Aware Evaluation of Submodular Exemplar Clustering.

[BibT_eX]

[DOI]

CoRR, 2021

Efficiently Approximating the Worst-Case Deadline Failure Probability Under EDF.

[BibT_eX]

[DOI]

Georg von der Brüggen

Proceedings of the 42nd IEEE Real-Time Systems Symposium, 2021

Explainable Online Deep Neural Network Selection Using Adaptive Saliency Maps for Time Series Forecasting.

[BibT_eX]

[DOI]

Matthias Jakobs

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021

Very Fast Streaming Submodular Function Maximization.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021

Active Class Selection with Uncertain Class Proportions.

[BibT_eX]

[DOI]

Proceedings of the Workshop on Interactive Adaptive Learning (IAL 2021) co-located with the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2021), 2021

Certification of Model Robustness in Active Class Selection.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021

Structure Search for Normalizing Flows.

[BibT_eX]

[DOI]

Felix Gonsior

Sascha Mücke

Proceedings of the LWDA 2021 Workshops: FGWM, 2021

Meta-Adversarial Training of Neural Networks for Binary Classification.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2021

An Actor-Critic Ensemble Aggregation Model for Time-Series Forecasting.

[BibT_eX]

[DOI]

Maryam Tavakol

Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

Online Ensemble Aggregation using Deep Reinforcement Learning for Time Series Forecasting.

[BibT_eX]

[DOI]

Proceedings of the 8th IEEE International Conference on Data Science and Advanced Analytics, 2021

Margin-Maximization in Binarized Neural Networks for Optimizing Bit Error Tolerance.

[BibT_eX]

[DOI]

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2021

2020

Real-time prediction of process forces in milling operations using synchronized data fusion of simulation and sensor data.

[BibT_eX]

[DOI]

Eng. Appl. Artif. Intell., 2020

Generalized Negative Correlation Learning for Deep Ensembling.

[BibT_eX]

[DOI]

CoRR, 2020

Lessons Learned from the 1st ARIEL Machine Learning Challenge: Correcting Transiting Exoplanet Light Curves for Stellar Spots.

[BibT_eX]

[DOI]

CoRR, 2020

Very Fast Streaming Submodular Function Maximization.

[BibT_eX]

[DOI]

CoRR, 2020

Give more data, awareness and control to individual citizens, and they will help COVID-19 containment.

[BibT_eX]

[DOI]

CoRR, 2020

Towards Explainable Bit Error Tolerance of Resistive RAM-Based Binarized Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2020

Resource-Constrained On-Device Learning by Dynamic Averaging.

[BibT_eX]

[DOI]

Proceedings of the ECML PKDD 2020 Workshops, 2020

On-Site Gamma-Hadron Separation with Deep Learning on FPGAs.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Applied Data Science Track, 2020

Solving Abstract Reasoning Tasks with Grammatical Evolution.

[BibT_eX]

[DOI]

Proceedings of the Conference "Lernen, 2020

Semantic Search in Millions of Equations.

[BibT_eX]

[DOI]

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Optimal Probabilistic Classification in Active Class Selection.

[BibT_eX]

[DOI]

Proceedings of the 20th IEEE International Conference on Data Mining, 2020

Active Sampling for Learning Interpretable Surrogate Machine Learning Models.

[BibT_eX]

[DOI]

Proceedings of the 7th IEEE International Conference on Data Science and Advanced Analytics, 2020

No Cloud on the Horizon: Probabilistic Gap Filling in Satellite Image Series.

[BibT_eX]

[DOI]

Proceedings of the 7th IEEE International Conference on Data Science and Advanced Analytics, 2020

Generalized Isolation Forest: Some Theory and More Applications Extended Abstract.

[BibT_eX]

[DOI]

Proceedings of the 7th IEEE International Conference on Data Science and Advanced Analytics, 2020

2019

HyperUCB: Hyperparameter Optimization Using Contextual Bandits.

[BibT_eX]

[DOI]

Maryam Tavakol

Sebastian Mair

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

A Drift-Based Dynamic Ensemble Members Selection Using Clustering for Time Series Forecasting.

[BibT_eX]

[DOI]

Florian Priebe

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

The Search for Equations - Learning to Identify Similarities Between Mathematical Expressions.

[BibT_eX]

[DOI]

Jonathan Schill

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

Hardware Acceleration of Machine Learning Beyond Linear Algebra.

[BibT_eX]

[DOI]

Sascha Mücke

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

Learning Bit by Bit: Extracting the Essence of Machine Learning.

[BibT_eX]

[DOI]

Sascha Mücke

Proceedings of the Conference on "Lernen, Wissen, Daten, Analysen", Berlin, Germany, September 30, 2019

Another View on Optimization as Probabilistic Inference.

[BibT_eX]

[DOI]

Felix Gonsior

Proceedings of the Conference on "Lernen, Wissen, Daten, Analysen", Berlin, Germany, September 30, 2019

Parameter Sharing for Spatio-Temporal Process Models.

[BibT_eX]

[DOI]

Raphael Fischer

Proceedings of the Conference on "Lernen, Wissen, Daten, Analysen", Berlin, Germany, September 30, 2019

What Can We Expect from Active Class Selection?

[BibT_eX]

[DOI]

Proceedings of the Conference on "Lernen, Wissen, Daten, Analysen", Berlin, Germany, September 30, 2019

Learning Ensembles in the Presence of Imbalanced Classes.

[BibT_eX]

[DOI]

Proceedings of the 8th International Conference on Pattern Recognition Applications and Methods, 2019

Gaussian Model Trees for Traffic Imputation.

[BibT_eX]

[DOI]

Thomas Liebig

Proceedings of the 8th International Conference on Pattern Recognition Applications and Methods, 2019

A Data Science Perspective on Deconvolution.

[BibT_eX]

[DOI]

Proceedings of the 49. Jahrestagung der Gesellschaft für Informatik, 50 Jahre Gesellschaft für Informatik, 2019

The SpectACl of Nonconvex Clustering: A Spectral Approach to Density-Based Clustering.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Decision Tree and Random Forest Implementations for Fast Filtering of Sensor Data.

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst. I Regul. Pap., 2018

Big Data Science.

[BibT_eX]

[DOI]

Christian Bockermann

Künstliche Intell., 2018

Fast Stochastic Quadrature for Approximate Maximum-Likelihood Estimation.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth Conference on Uncertainty in Artificial Intelligence, 2018

The Trustworthy Pal: Controlling the False Discovery Rate in Boolean Matrix Factorization.

[BibT_eX]

[DOI]

Proceedings of the 2018 SIAM International Conference on Data Mining, 2018

Nyström-SGD: Fast Learning of Kernel-Classifiers with Conditioned Stochastic Gradient Descent.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018

The Relationship of DBSCAN to Matrix Factorization and Spectral Clustering.

[BibT_eX]

[DOI]

Erich Schubert

Proceedings of the Conference "Lernen, Wissen, Daten, Analysen", 2018

Towards a Unifying View on Deconvolution in Cherenkov Astronomy.

[BibT_eX]

[DOI]

Proceedings of the Conference "Lernen, Wissen, Daten, Analysen", 2018

Realization of Random Forest for Real-Time Evaluation through Tree Framing.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2018

Efficiently Approximating the Probability of Deadline Misses in Real-Time Systems.

[BibT_eX]

[DOI]

Georg von der Brüggen

Proceedings of the 30th Euromicro Conference on Real-Time Systems, 2018

Unification of Deconvolution Algorithms for Cherenkov Astronomy.

[BibT_eX]

[DOI]

Proceedings of the 5th IEEE International Conference on Data Science and Advanced Analytics, 2018

What do you do with 5 million posts? Versuche zum distant reading religiöser Online-Foren.

[BibT_eX]

[DOI]

Proceedings of the 5. Tagung des Verbands Digital Humanities im deutschsprachigen Raum, 2018

2017

Medicine: Applications of Machine Learning.

[BibT_eX]

[DOI]

Proceedings of the Encyclopedia of Machine Learning and Data Mining, 2017

Dynamic route planning with real-time traffic predictions.

[BibT_eX]

[DOI]

Inf. Syst., 2017

Mining Urban Data (Part C).

[BibT_eX]

[DOI]

Inf. Syst., 2017

The PRIMPING routine - Tiling through proximal alternating linearized minimization.

[BibT_eX]

[DOI]

Data Min. Knowl. Discov., 2017

C-SALT: Mining Class-Specific ALTerations in Boolean Matrix Factorization.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017

Summary Extraction on Data Streams in Embedded Systems.

[BibT_eX]

[DOI]

Maik Schmidt

Proceedings of the Workshop on IoT Large Scale Learning from Data Streams co-located with the 2017 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2017), 2017

Learning Low-Rank Document Embeddings with Weighted Nuclear Norm Regularization.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Data Science and Advanced Analytics, 2017

relNet - Modellierung von Themen und Strukturen religiöser Online-Kommunikation.

[BibT_eX]

[DOI]

Proceedings of the 4. Tagung des Verbands Digital Humanities im deutschsprachigen Raum, 2017

2016

Sustainable Industrial Processes by Embedded Real-Time Quality Prediction.

[BibT_eX]

[DOI]

Hendrik Blom

Proceedings of the Computational Sustainability, 2016

Interpretable domain adaptation via optimization over the Stiefel manifold.

[BibT_eX]

[DOI]

Christian Pölitz

Wouter Duivesteijn

Mach. Learn., 2016

Mining Urban Data (Part B).

[BibT_eX]

[DOI]

Inf. Syst., 2016

Integer undirected graphical models for resource-constrained systems.

[BibT_eX]

[DOI]

Neurocomputing, 2016

Machine Learning meets Data-Driven Journalism: Boosting International Understanding and Transparency in News Coverage.

[BibT_eX]

[DOI]

CoRR, 2016

Prädiktive Prozessüberwachung auf Basis verteilt erfasster Sensordaten.

[BibT_eX]

[DOI]

Autom., 2016

INSIGHT: Dynamic Traffic Management Using Heterogeneous Urban Data.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016

Resource-Aware Steel Production Through Data Mining.

[BibT_eX]

[DOI]

Hendrik Blom

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016

Stochastic Discrete Clenshaw-Curtis Quadrature.

[BibT_eX]

[DOI]

Proceedings of the 33nd International Conference on Machine Learning, 2016

2015

Investigation of Word Senses over Time Using Linguistic Corpora.

[BibT_eX]

[DOI]

Proceedings of the Text, Speech, and Dialogue - 18th International Conference, 2015

Discovering Neutrinos Through Data Analytics.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2015

Online Analysis of High-Volume Data Streams in Astroparticle Physics.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2015

Data Driven Science: SIGKDD Panel.

[BibT_eX]

[DOI]

Hugh F. Durrant-Whyte

Gary C. Hill

Dietmar Müller

Tanya Y. Berger-Wolf

Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

Distributed Traffic Flow Prediction with Label Proportions: From in-Network towards High Performance Computation with MPI.

[BibT_eX]

[DOI]

Thomas Liebig

Proceedings of the 2nd International Workshop on Mining Urban Data co-located with 32nd International Conference on Machine Learning (ICML 2015), 2015

Big Data und Data Mining in den Digital Humanities.

[BibT_eX]

[DOI]

Christian Pölitz

Proceedings of the 2. Tagung des Verbands Digital Humanities im deutschsprachigen Raum, 2015

2014

Heterogeneous Stream Processing and Crowdsourcing for Traffic Monitoring: Highlights.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014

Towards an Integer Approximation of Undirected Graphical Models.

[BibT_eX]

[DOI]

Proceedings of the 16th LWA Workshops: KDML, 2014

Route Planning with Real-Time Traffic Predictions.

[BibT_eX]

[DOI]

Proceedings of the 16th LWA Workshops: KDML, 2014

SHrimp: Descriptive Patterns in a Tree.

[BibT_eX]

[DOI]

Proceedings of the 16th LWA Workshops: KDML, 2014

The Integer Approximation of Undirected Graphical Models.

[BibT_eX]

[DOI]

Proceedings of the ICPRAM 2014, 2014

Combining a Gauss-Markov model and Gaussian process for traffic prediction in Dublin city center.

[BibT_eX]

[DOI]

Proceedings of the Workshops of the EDBT/ICDT 2014 Joint Conference (EDBT/ICDT 2014), 2014

Predictive Trip Planning - Smart Routing in Smart Cities.

[BibT_eX]

[DOI]

Proceedings of the Workshops of the EDBT/ICDT 2014 Joint Conference (EDBT/ICDT 2014), 2014

Heterogeneous Stream Processing and Crowdsourcing for Urban Traffic Management.

[BibT_eX]

[DOI]

Proceedings of the 17th International Conference on Extending Database Technology, 2014

Resource-Aware Data Analysis.

[BibT_eX]

Proceedings of the DATA 2014, 2014

Using Data Mining and the CLARIN Infrastructure to Extend Corpus-based Linguistic Research.

[BibT_eX]

[DOI]

Proceedings of the Selected Papers from the CLARIN 2014 Conference, 2014

2013

Spatio-temporal random fields: compressible representation and distributed estimation.

[BibT_eX]

[DOI]

Mach. Learn., 2013

Anomaly Detection in Vertically Partitioned Data by Distributed Core Vector Machines.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013

Open Smartphone Data for Structured Mobility and Utilization Analysis in Ubiquitous Systems.

[BibT_eX]

[DOI]

Proceedings of the Mining, Modeling, and Recommending 'Things' in Social Media, 2013

Maschinelles Lernen und Data Mining.

[BibT_eX]

[DOI]

Stefan Wrobel

Thorsten Joachims

Proceedings of the Handbuch der Künstlichen Intelligenz, 5. Auflage, 2013

2012

Multi-objective frequent termset clustering.

[BibT_eX]

[DOI]

Knowl. Inf. Syst., 2012

Introduction to data mining for sustainability.

[BibT_eX]

[DOI]

Kanishka Bhaduri

Hillol Kargupta

Data Min. Knowl. Discov., 2012

Mobility Data Mining and Privacy (Dagstuhl Seminar 12331).

[BibT_eX]

[DOI]

Christopher W. Clifton

Bart Kuijpers

Yücel Saygin

Dagstuhl Reports, 2012

Separable Approximate Optimization of Support Vector Machines for Distributed Sensing.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2012

2011

Fast-Ensembles of Minimum Redundancy Feature Selection.

[BibT_eX]

[DOI]

Benjamin Schowe

Proceedings of the Ensembles in Machine Learning Applications, 2011

Inspecting Sample Reusability for Active Learning.

[BibT_eX]

[DOI]

Katrin Tomanek

Proceedings of the Active Learning and Experimental Design workshop, 2011

Learning from Label Proportions by Optimizing Cluster Model Selection.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2011

Parallel Loopy Belief Propagation in Conditional Random Fields.

[BibT_eX]

Proceedings of the Report of the symposium "Lernen, 2011

2010

Clustering the Web 2.0.

[BibT_eX]

[DOI]

Proceedings of the Advances in Machine Learning II, 2010

Nemoz - A Distributed Framework for Collaborative Media Organization.

[BibT_eX]

[DOI]

Proceedings of the Ubiquitous Knowledge Discovery - Challenges, Techniques, Applications, 2010

Medicine: Applications of Machine Learning.

[BibT_eX]

[DOI]

Proceedings of the Encyclopedia of Machine Learning, 2010

Fast-Ensembles of Minimum Redundancy Feature Selection.

[BibT_eX]

[DOI]

Benjamin Schowe

Proceedings of the LWA 2010, 2010

Towards Adjusting Mobile Devices to User's Behaviour.

[BibT_eX]

[DOI]

Proceedings of the LWA 2010, 2010

Enhancing Ubiquitous Systems through System Call Mining.

[BibT_eX]

[DOI]

Proceedings of the ICDMW 2010, 2010

Towards Adjusting Mobile Devices to User's Behaviour.

[BibT_eX]

[DOI]

Proceedings of the Analysis of Social Media and Ubiquitous Data, 2010

2009

Relation Extraction for Monitoring Economic Networks.

[BibT_eX]

Martin Had

Felix Jungermann

Proceedings of the LWA 2009: Workshop-Woche: Lernen, 2009

Handling Texts ? A Challenge for Data Mining.

[BibT_eX]

[DOI]

Proceedings of the Extraction et gestion des connaissances (EGC'2009), 2009

2008

Guest Editors' introduction: special issue of selected papers from ECML PKDD 2008.

[BibT_eX]

[DOI]

Walter Daelemans

Bart Goethals

Mach. Learn., 2008

About the non-convex optimization problem induced by non-positive semidefinite kernel learning.

[BibT_eX]

[DOI]

Adv. Data Anal. Classif., 2008

On the Automated Creation of Understandable Positive Security Models for Web Applications.

[BibT_eX]

[DOI]

Christian Bockermann

Proceedings of the Sixth Annual IEEE International Conference on Pervasive Computing and Communications (PerCom 2008), 2008

Enhanced Services for Targeted Information Retrieval by Event Extraction and Data Mining.

[BibT_eX]

Felix Jungermann

Proceedings of the LWA 2008, 2008

Research Challenges in Ubiquitous Knowledge Discovery.

[BibT_eX]

[DOI]

Rasmus Ulslev Pedersen

Proceedings of the Next Generation of Data Mining., 2008

2007

Distributed feature extraction in a p2p setting - a case study.

[BibT_eX]

[DOI]

Future Gener. Comput. Syst., 2007

Multi-Aspect Tagging for Collaborative Structuring.

[BibT_eX]

[DOI]

Proceedings of the Parallel Universes and Local Patterns, 01.05. - 04.05.2007, 2007

07181 Abstracts Collection -- Parallel Universes and Local Patterns .

[BibT_eX]

[DOI]

Michael R. Berthold

Arno Siebes

Proceedings of the Parallel Universes and Local Patterns, 01.05. - 04.05.2007, 2007

07181 Introduction -- Parallel Universes and Local Patterns .

[BibT_eX]

[DOI]

Michael R. Berthold

Arno Siebes

Proceedings of the Parallel Universes and Local Patterns, 01.05. - 04.05.2007, 2007

2006

Aspect-Based Tagging for Collaborative Media Organization.

[BibT_eX]

[DOI]

Proceedings of the From Web to Social Web: Discovering and Deploying User and Content Profiles, 2006

Localized Alternative Cluster Ensembles for Collaborative Structuring.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning: ECML 2006, 2006

2005

Automatic Feature Extraction for Classifying Audio Data.

[BibT_eX]

[DOI]

Mach. Learn., 2005

Schülerinnen und Schüler an der Universität.

[BibT_eX]

[DOI]

Georgi Ostrowski

Tobias Pröger

Inform. Spektrum, 2005

Musik und Informatik.

[BibT_eX]

[DOI]

Inform. Spektrum, 2005

Merkmalsextraktion aus Audiodaten Evolutionäre Aufzucht von Methodenbäumen.

[BibT_eX]

[DOI]

Inform. Spektrum, 2005

A Benchmark Dataset for Audio Classification and Clustering.

[BibT_eX]

[DOI]

Proceedings of the ISMIR 2005, 2005

Applications of Knowledge Discovery.

[BibT_eX]

[DOI]

Proceedings of the Innovations in Applied Artificial Intelligence, 2005

Method trees: building blocks for self-organizable representations of value series: how to evolve representations for classifying audio data.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference, 2005

2004

Analysing Customer Churn in Insurance Data - A Case Study.

[BibT_eX]

[DOI]

Hanna Köpcke

Proceedings of the Knowledge Discovery in Databases: PKDD 2004, 2004

Features for Learning Local Patterns in Time-Stamped Data.

[BibT_eX]

[DOI]

Hanna Köpcke

Proceedings of the Local Pattern Detection, 2004

04161 Abstracts Collection - Detecting Local Patterns.

[BibT_eX]

[DOI]

Jean-François Boulicaut

Arno Siebes

Proceedings of the Detecting Local Patterns, 12.04. - 16.04.2004, 2004

2003

Verbindung heterogener Experten-Communities durch die Entdeckung, Visualisierung und Nutzbarmachung von stillem Wissen - das AWAKE Projekt.

[BibT_eX]

[DOI]

Proceedings of the Mensch & Computer 2003: Interaktion in Bewegung, 2003

Support vector machines and learning about time.

[BibT_eX]

[DOI]

Stefan Rüping

Proceedings of the 2003 IEEE International Conference on Acoustics, 2003

Maschinelles Lernen und Data Mining.

[BibT_eX]

[DOI]

Stefan Wrobel

Thorsten Joachims

Proceedings of the Handbuch der Künstlichen Intelligenz, 4. Auflage, 2003

2002

End-user access to multiple sources: incorporating knowledge discovery into knowledge management.

[BibT_eX]

[DOI]

Christian Hüppe

Klaus Unterstein

Intell. Syst. Account. Finance Manag., 2002

The MiningMart Approach.

[BibT_eX]

[DOI]

Martin Scholz

Proceedings of the 32. Jahrestagung der Gesellschaft für Informatik, Informatik bewegt, INFORMATIK 2002, Dortmund, Germany, September 30, 2002

Detecting Interesting Instances.

[BibT_eX]

[DOI]

Proceedings of the Pattern Detection and Discovery, 2002

A Multistrategy Approach to the Classification of Phases in Business Cycles.

[BibT_eX]

[DOI]

Stefan Rüping

Proceedings of the Machine Learning: ECML 2002, 2002

2001

Development of Decision Support Algorithms for Intensive Care Medicine: A Hybrid System of Time Series Analysis and a Knowledge Base System.

[BibT_eX]

[DOI]

Michael Imhoff

Ursula Gather

Proceedings of the AMIA 2001, 2001

2000

Knowledge discovery and knowledge validation in intensive care.

[BibT_eX]

[DOI]

Artif. Intell. Medicine, 2000

Erratum to "Knowledge discovery and knowledge validation in intensive care".

[BibT_eX]

[DOI]

Artif. Intell. Medicine, 2000

The Representation Race - Preprocessing for Handling Time Phenomena.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning: ECML 2000, 11th European Conference on Machine Learning, Barcelona, Catalonia, Spain, May 31, 2000

1999

Development of Decision Support Algorithms for Intensive Care Medicine: A New Approach Combining Time Series Analysis and a Knowledge Base System with Learning and Revision Capabilities.

[BibT_eX]

[DOI]

Michael Imhoff

Ursula Gather

Proceedings of the KI-99: Advances in Artificial Intelligence, 1999

Combining Statistical Learning with a Knowledge-Based Approach - A Case Study in Intensive Care Monitoring.

[BibT_eX]

Peter Brockhausen

Thorsten Joachims

Proceedings of the Sixteenth International Conference on Machine Learning (ICML 1999), Bled, Slovenia, June 27, 1999

Tailoring Representations to Different Requirements.

[BibT_eX]

[DOI]

Proceedings of the Algorithmic Learning Theory, 10th International Conference, 1999

1998

Rekonstruktion von Theorieübergängen: Tag/Nachtzyklus-Erklärungen von Kindern verschiedener Altersgruppen.

[BibT_eX]

[DOI]

Martin Mühlenbrock

Kognitionswissenschaft, 1998

How to Tailor Representations to Different Requirements.

[BibT_eX]

Proceedings of the Sixth International Conference on Principles of Knowledge Representation and Reasoning (KR'98), 1998

1997

A Multistrategy Approach to Relational Knowledge Discovery in Databases.

[BibT_eX]

[DOI]

Peter Brockhausen

Mach. Learn., 1997

Knowledge Discovery in databases - An Inductive Logic Programming Approach.

[BibT_eX]

[DOI]

Proceedings of the Foundations of Computer Science: Potential - Theory, 1997

1996

Learning Concepts from Sensor Data of a Mobile Robot.

[BibT_eX]

[DOI]

Volker Klingspor

Anke D. Rieger

Mach. Learn., 1996

Induktion für alle Fälle!

[BibT_eX]

Künstliche Intell., 1996

1995

Mobile Robots.

[BibT_eX]

[DOI]

Volker Klingspor

Anke D. Rieger

Dataset, July, 1995

Editorial: Themenheft Informatik-Ausbildung.

[BibT_eX]

Brigitte Bartsch-Spörl

Dieter Steinbauer

Inform. Spektrum, 1995

1994

Guest Editorial.

[BibT_eX]

[DOI]

Francesco Bergadano

Wray L. Buntine

Mach. Learn., 1994

A Polynomial Approach to the Constructive Induction of Structural Knowledge.

[BibT_eX]

[DOI]

Jörg-Uwe Kietz

Mach. Learn., 1994

What online machine learning can do for knowledge acquisition - a case study.

[BibT_eX]

[DOI]

Knowl. Acquis., 1994

Knowledgeable learning using MOBAL: A medical case study.

[BibT_eX]

[DOI]

Appl. Artif. Intell., 1994

1993

Balanced Cooperative Modeling.

[BibT_eX]

[DOI]

Mach. Learn., 1993

Europäisches Netzwerk für Maschinelles Lernen.

[BibT_eX]

Künstliche Intell., 1993

1992

9. Internationale Konferenz zum maschinellen Lernen.

[BibT_eX]

Künstliche Intell., 1992

Machine Learning and Knowledge Acquisition, Summary of Research Contributions Presented at IJCAI'91.

[BibT_eX]

[DOI]

Francesco Bergadano

Yves Kodratoff

AI Commun., 1992

Applications of Machine Learning.

[BibT_eX]

[DOI]

Proceedings of the Current Developments in Knowledge Acquisition, 1992

1991

Underlying assumptions of knowledge acquisition and machine learning.

[BibT_eX]

[DOI]

Knowl. Acquis., 1991

Machine Learning Toolbox (MLT).

[BibT_eX]

Künstliche Intell., 1991

Maschinelles Lernen in der Bundesrepublik Deutschland: Ergebnis einer Umfrage.

[BibT_eX]

Künstliche Intell., 1991

Panel: Four Stances on Knowledge Acquisition and Machine Learning.

[BibT_eX]

[DOI]

Thomas R. Addis

Yves Kodratoff

Ramón López de Mántaras

Enric Plaza

Proceedings of the Machine Learning, 1991

1989

Integration issue in knowledge acquisition systems.

[BibT_eX]

[DOI]

SIGART Newsl., 1989

Bericht des Arbeitskreises Strukturfragen der KI.

[BibT_eX]

Thomas Christaller

Künstliche Intell., 1989

A Bootstrapping Approach to Concept Clustering.

[BibT_eX]

Jörg-Uwe Kietz

Proceedings of the Sixth International Workshop on Machine Learning (ML 1989), 1989

1987

Acquiring Domain Models.

[BibT_eX]

[DOI]

Int. J. Man Mach. Stud., 1987

Sloppy Modeling.

[BibT_eX]

[DOI]

Proceedings of the Knowledge Representation and Organization in Machine Learning [Workshop, 1987

1986

Talking it Over: The Natural Language Dialog System HAM-ANS.

[BibT_eX]

Wolfgang Hoeppner

Heinz Marburger

Proceedings of the Cooperative Interfaces to Information Systems, 1986

1985

The Real Estate Agent: Modeling Users By Uncertain Reasoning.

[BibT_eX]

[DOI]

Claus-Rainer Rollinger

AI Mag., 1985

Partnermodellierung in Beratungsdialogen.

[BibT_eX]

[DOI]

Proceedings of the Sprachverarbeitung in Information und Dokumentation, 1985

Representing and Processing Copula and Full-Verb Sentences in HAM-ANS.

[BibT_eX]

[DOI]

Proceedings of the GWAI-85, 1985

User Modelling, Dialog Structure, And Dialog Strategy In Ham-Ans.

[BibT_eX]

[DOI]

Proceedings of the EACL 1985, 1985

1984

Customers' Requirements for Natural Language Systems: Results of an Inquiry.

[BibT_eX]

[DOI]

Int. J. Man Mach. Stud., 1984

1983

Partnermodellierung im Evidenzraum.

[BibT_eX]

[DOI]

Claus-Rainer Rollinger

Proceedings of the GWAI-83, 1983

Demand and Requirements for Natural Language Systems - Results of an Inquiry.

[BibT_eX]

[DOI]

Proceedings of the 8th International Joint Conference on Artificial Intelligence. Karlsruhe, 1983

Beyond Domain-Independence: Experience With the Development of a German Language Access System to Highly Diverse Background Systems.

[BibT_eX]

[DOI]

Proceedings of the 8th International Joint Conference on Artificial Intelligence. Karlsruhe, 1983

1982

Überzeugungssysteme der künstlichen Intelligenz: Validierung vor d. Hintergrund linguist. Theorien über implizierte Äusserungen.

[BibT_eX]

[DOI]

PhD thesis, 1982

1981

Verarbeitung von externer und interner Situation in Überzeugungssystemen.

[BibT_eX]

[DOI]