Katharina Morik

Affiliations:
  • Technical University of Dortmund, Germany


According to our database1, Katharina Morik authored at least 186 papers between 1981 and 2022.

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Bibliography

2022
Reliable Binarized Neural Networks on Unreliable Beyond Von-Neumann Architecture.
IEEE Trans. Circuits Syst. I Regul. Pap., 2022

FeFET-Based Binarized Neural Networks Under Temperature-Dependent Bit Errors.
IEEE Trans. Computers, 2022

Explainable online ensemble of deep neural network pruning for time series forecasting.
Mach. Learn., 2022

Randomized outlier detection with trees.
Int. J. Data Sci. Anal., 2022

Self-Supervised Pretraining of Graph Neural Network for the Retrieval of Related Mathematical Expressions in Scientific Articles.
CoRR, 2022

Simulation and sensor data fusion for machine learning application.
Adv. Eng. Informatics, 2022

Shrub Ensembles for Online Classification.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Trustworthy AI.
Proceedings of the Reflections on Artificial Intelligence for Humanity, 2021

There is no Double-Descent in Random Forests.
CoRR, 2021

Improving the Accuracy-Memory Trade-Off of Random Forests Via Leaf-Refinement.
CoRR, 2021

Explaining Deep Learning Representations by Tracing the Training Process.
CoRR, 2021

Noisy Labels for Weakly Supervised Gamma Hadron Classification.
CoRR, 2021

The Care Label Concept: A Certification Suite for Trustworthy and Resource-Aware Machine Learning.
CoRR, 2021

Providing Meaningful Data Summarizations Using Examplar-based Clustering in Industry 4.0.
CoRR, 2021

Yes We Care! - Certification for Machine Learning Methods through the Care Label Framework.
CoRR, 2021

Bit Error Tolerance Metrics for Binarized Neural Networks.
CoRR, 2021

GPU-Accelerated Optimizer-Aware Evaluation of Submodular Exemplar Clustering.
CoRR, 2021

Efficiently Approximating the Worst-Case Deadline Failure Probability Under EDF.
Proceedings of the 42nd IEEE Real-Time Systems Symposium, 2021

Explainable Online Deep Neural Network Selection Using Adaptive Saliency Maps for Time Series Forecasting.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021

Very Fast Streaming Submodular Function Maximization.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021

Certification of Model Robustness in Active Class Selection.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021

Structure Search for Normalizing Flows.
Proceedings of the LWDA 2021 Workshops: FGWM, 2021

Meta-Adversarial Training of Neural Networks for Binary Classification.
Proceedings of the International Joint Conference on Neural Networks, 2021

An Actor-Critic Ensemble Aggregation Model for Time-Series Forecasting.
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

Online Ensemble Aggregation using Deep Reinforcement Learning for Time Series Forecasting.
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.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2021

2020
Give more data, awareness and control to individual citizens, and they will help COVID-19 containment.
Trans. Data Priv., 2020

Real-time prediction of process forces in milling operations using synchronized data fusion of simulation and sensor data.
Eng. Appl. Artif. Intell., 2020

Generalized Negative Correlation Learning for Deep Ensembling.
CoRR, 2020

Lessons Learned from the 1st ARIEL Machine Learning Challenge: Correcting Transiting Exoplanet Light Curves for Stellar Spots.
CoRR, 2020

Very Fast Streaming Submodular Function Maximization.
CoRR, 2020

Give more data, awareness and control to individual citizens, and they will help COVID-19 containment.
CoRR, 2020

Towards Explainable Bit Error Tolerance of Resistive RAM-Based Binarized Neural Networks.
CoRR, 2020

Resource-Constrained On-Device Learning by Dynamic Averaging.
Proceedings of the ECML PKDD 2020 Workshops, 2020

On-Site Gamma-Hadron Separation with Deep Learning on FPGAs.
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Applied Data Science Track, 2020

Solving Abstract Reasoning Tasks with Grammatical Evolution.
Proceedings of the Conference "Lernen, 2020

Semantic Search in Millions of Equations.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Optimal Probabilistic Classification in Active Class Selection.
Proceedings of the 20th IEEE International Conference on Data Mining, 2020

Active Sampling for Learning Interpretable Surrogate Machine Learning Models.
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.
Proceedings of the 7th IEEE International Conference on Data Science and Advanced Analytics, 2020

Generalized Isolation Forest: Some Theory and More Applications Extended Abstract.
Proceedings of the 7th IEEE International Conference on Data Science and Advanced Analytics, 2020

2019
HyperUCB: Hyperparameter Optimization Using Contextual Bandits.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

A Drift-Based Dynamic Ensemble Members Selection Using Clustering for Time Series Forecasting.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

The Search for Equations - Learning to Identify Similarities Between Mathematical Expressions.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

Hardware Acceleration of Machine Learning Beyond Linear Algebra.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

Learning Bit by Bit: Extracting the Essence of Machine Learning.
Proceedings of the Conference on "Lernen, Wissen, Daten, Analysen", Berlin, Germany, September 30, 2019

Another View on Optimization as Probabilistic Inference.
Proceedings of the Conference on "Lernen, Wissen, Daten, Analysen", Berlin, Germany, September 30, 2019

Parameter Sharing for Spatio-Temporal Process Models.
Proceedings of the Conference on "Lernen, Wissen, Daten, Analysen", Berlin, Germany, September 30, 2019

What Can We Expect from Active Class Selection?
Proceedings of the Conference on "Lernen, Wissen, Daten, Analysen", Berlin, Germany, September 30, 2019

Learning Ensembles in the Presence of Imbalanced Classes.
Proceedings of the 8th International Conference on Pattern Recognition Applications and Methods, 2019

Gaussian Model Trees for Traffic Imputation.
Proceedings of the 8th International Conference on Pattern Recognition Applications and Methods, 2019

A Data Science Perspective on Deconvolution.
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.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Decision Tree and Random Forest Implementations for Fast Filtering of Sensor Data.
IEEE Trans. Circuits Syst. I Regul. Pap., 2018

Big Data Science.
Künstliche Intell., 2018

Fast Stochastic Quadrature for Approximate Maximum-Likelihood Estimation.
Proceedings of the Thirty-Fourth Conference on Uncertainty in Artificial Intelligence, 2018

The Trustworthy Pal: Controlling the False Discovery Rate in Boolean Matrix Factorization.
Proceedings of the 2018 SIAM International Conference on Data Mining, 2018

Nyström-SGD: Fast Learning of Kernel-Classifiers with Conditioned Stochastic Gradient Descent.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018

The Relationship of DBSCAN to Matrix Factorization and Spectral Clustering.
Proceedings of the Conference "Lernen, Wissen, Daten, Analysen", 2018

Towards a Unifying View on Deconvolution in Cherenkov Astronomy.
Proceedings of the Conference "Lernen, Wissen, Daten, Analysen", 2018

Realization of Random Forest for Real-Time Evaluation through Tree Framing.
Proceedings of the IEEE International Conference on Data Mining, 2018

Efficiently Approximating the Probability of Deadline Misses in Real-Time Systems.
Proceedings of the 30th Euromicro Conference on Real-Time Systems, 2018

Unification of Deconvolution Algorithms for Cherenkov Astronomy.
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.
Proceedings of the 5. Tagung des Verbands Digital Humanities im deutschsprachigen Raum, 2018

2017
Medicine: Applications of Machine Learning.
Proceedings of the Encyclopedia of Machine Learning and Data Mining, 2017

Dynamic route planning with real-time traffic predictions.
Inf. Syst., 2017

Mining Urban Data (Part C).
Inf. Syst., 2017

The PRIMPING routine - Tiling through proximal alternating linearized minimization.
Data Min. Knowl. Discov., 2017

C-SALT: Mining Class-Specific ALTerations in Boolean Matrix Factorization.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017

Summary Extraction on Data Streams in Embedded Systems.
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.
Proceedings of the 2017 IEEE International Conference on Data Science and Advanced Analytics, 2017

relNet - Modellierung von Themen und Strukturen religiöser Online-Kommunikation.
Proceedings of the 4. Tagung des Verbands Digital Humanities im deutschsprachigen Raum, 2017

2016
Sustainable Industrial Processes by Embedded Real-Time Quality Prediction.
Proceedings of the Computational Sustainability, 2016

Interpretable domain adaptation via optimization over the Stiefel manifold.
Mach. Learn., 2016

Mining Urban Data (Part B).
Inf. Syst., 2016

Integer undirected graphical models for resource-constrained systems.
Neurocomputing, 2016

Machine Learning meets Data-Driven Journalism: Boosting International Understanding and Transparency in News Coverage.
CoRR, 2016

Prädiktive Prozessüberwachung auf Basis verteilt erfasster Sensordaten.
Autom., 2016


Resource-Aware Steel Production Through Data Mining.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016

Stochastic Discrete Clenshaw-Curtis Quadrature.
Proceedings of the 33nd International Conference on Machine Learning, 2016

2015
Investigation of Word Senses over Time Using Linguistic Corpora.
Proceedings of the Text, Speech, and Dialogue - 18th International Conference, 2015

Discovering Neutrinos Through Data Analytics.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2015

Online Analysis of High-Volume Data Streams in Astroparticle Physics.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2015

Data Driven Science: SIGKDD Panel.
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.
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.
Proceedings of the 2. Tagung des Verbands Digital Humanities im deutschsprachigen Raum, 2015

2014
Heterogeneous Stream Processing and Crowdsourcing for Traffic Monitoring: Highlights.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014

Towards an Integer Approximation of Undirected Graphical Models.
Proceedings of the 16th LWA Workshops: KDML, 2014

Route Planning with Real-Time Traffic Predictions.
Proceedings of the 16th LWA Workshops: KDML, 2014

SHrimp: Descriptive Patterns in a Tree.
Proceedings of the 16th LWA Workshops: KDML, 2014

The Integer Approximation of Undirected Graphical Models.
Proceedings of the ICPRAM 2014, 2014

Combining a Gauss-Markov model and Gaussian process for traffic prediction in Dublin city center.
Proceedings of the Workshops of the EDBT/ICDT 2014 Joint Conference (EDBT/ICDT 2014), 2014

Predictive Trip Planning - Smart Routing in Smart Cities.
Proceedings of the Workshops of the EDBT/ICDT 2014 Joint Conference (EDBT/ICDT 2014), 2014

Heterogeneous Stream Processing and Crowdsourcing for Urban Traffic Management.
Proceedings of the 17th International Conference on Extending Database Technology, 2014

Resource-Aware Data Analysis.
Proceedings of the DATA 2014, 2014

2013
Spatio-temporal random fields: compressible representation and distributed estimation.
Mach. Learn., 2013

Anomaly Detection in Vertically Partitioned Data by Distributed Core Vector Machines.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013

Open Smartphone Data for Structured Mobility and Utilization Analysis in Ubiquitous Systems.
Proceedings of the Mining, Modeling, and Recommending 'Things' in Social Media, 2013

Maschinelles Lernen und Data Mining.
Proceedings of the Handbuch der Künstlichen Intelligenz, 5. Auflage, 2013

2012
Multi-objective frequent termset clustering.
Knowl. Inf. Syst., 2012

Introduction to data mining for sustainability.
Data Min. Knowl. Discov., 2012

Mobility Data Mining and Privacy (Dagstuhl Seminar 12331).
Dagstuhl Reports, 2012

Separable Approximate Optimization of Support Vector Machines for Distributed Sensing.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2012

2011
Fast-Ensembles of Minimum Redundancy Feature Selection.
Proceedings of the Ensembles in Machine Learning Applications, 2011

Inspecting Sample Reusability for Active Learning.
Proceedings of the Active Learning and Experimental Design workshop, 2011

Learning from Label Proportions by Optimizing Cluster Model Selection.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2011

Parallel Loopy Belief Propagation in Conditional Random Fields.
Proceedings of the Report of the symposium "Lernen, 2011

2010
Clustering the Web 2.0.
Proceedings of the Advances in Machine Learning II, 2010

Nemoz - A Distributed Framework for Collaborative Media Organization.
Proceedings of the Ubiquitous Knowledge Discovery - Challenges, Techniques, Applications, 2010

Medicine: Applications of Machine Learning.
Proceedings of the Encyclopedia of Machine Learning, 2010

Fast-Ensembles of Minimum Redundancy Feature Selection.
Proceedings of the LWA 2010, 2010

Towards Adjusting Mobile Devices to User's Behaviour.
Proceedings of the LWA 2010, 2010

Enhancing Ubiquitous Systems through System Call Mining.
Proceedings of the ICDMW 2010, 2010

Towards Adjusting Mobile Devices to User's Behaviour.
Proceedings of the Analysis of Social Media and Ubiquitous Data, 2010

2009
Relation Extraction for Monitoring Economic Networks.
Proceedings of the Natural Language Processing and Information Systems, 2009

Handling Texts ? A Challenge for Data Mining.
Proceedings of the Extraction et gestion des connaissances (EGC'2009), 2009

2008
Guest Editors' Introduction: Special issue of Selected Papers from ECML PKDD 2008.
Data Min. Knowl. Discov., 2008

About the non-convex optimization problem induced by non-positive semidefinite kernel learning.
Adv. Data Anal. Classif., 2008

On the Automated Creation of Understandable Positive Security Models for Web Applications.
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.
Proceedings of the Natural Language and Information Systems, 2008


2007
Distributed feature extraction in a p2p setting - a case study.
Future Gener. Comput. Syst., 2007

Multi-Aspect Tagging for Collaborative Structuring.
Proceedings of the Parallel Universes and Local Patterns, 01.05. - 04.05.2007, 2007

07181 Abstracts Collection -- Parallel Universes and Local Patterns .
Proceedings of the Parallel Universes and Local Patterns, 01.05. - 04.05.2007, 2007

07181 Introduction -- Parallel Universes and Local Patterns .
Proceedings of the Parallel Universes and Local Patterns, 01.05. - 04.05.2007, 2007

2006
Aspect-Based Tagging for Collaborative Media Organization.
Proceedings of the From Web to Social Web: Discovering and Deploying User and Content Profiles, 2006

Localized Alternative Cluster Ensembles for Collaborative Structuring.
Proceedings of the Machine Learning: ECML 2006, 2006

2005
Automatic Feature Extraction for Classifying Audio Data.
Mach. Learn., 2005

Schülerinnen und Schüler an der Universität.
Inform. Spektrum, 2005

Musik und Informatik.
Inform. Spektrum, 2005

Merkmalsextraktion aus Audiodaten Evolutionäre Aufzucht von Methodenbäumen.
Inform. Spektrum, 2005

A Benchmark Dataset for Audio Classification and Clustering.
Proceedings of the ISMIR 2005, 2005

Applications of Knowledge Discovery.
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.
Proceedings of the Genetic and Evolutionary Computation Conference, 2005

2004
Analysing Customer Churn in Insurance Data - A Case Study.
Proceedings of the Knowledge Discovery in Databases: PKDD 2004, 2004

Features for Learning Local Patterns in Time-Stamped Data.
Proceedings of the Local Pattern Detection, 2004

04161 Abstracts Collection - Detecting Local Patterns.
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.
Proceedings of the Mensch & Computer 2003: Interaktion in Bewegung, 2003

Support vector machines and learning about time.
Proceedings of the 2003 IEEE International Conference on Acoustics, 2003

Maschinelles Lernen und Data Mining.
Proceedings of the Handbuch der Künstlichen Intelligenz, 4. Auflage, 2003

2002
End-user access to multiple sources: incorporating knowledge discovery into knowledge management.
Intell. Syst. Account. Finance Manag., 2002

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

Detecting Interesting Instances.
Proceedings of the Pattern Detection and Discovery, 2002

A Multistrategy Approach to the Classification of Phases in Business Cycles.
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.
Proceedings of the AMIA 2001, 2001

2000
Knowledge discovery and knowledge validation in intensive care.
Artif. Intell. Medicine, 2000

Erratum to "Knowledge discovery and knowledge validation in intensive care".
Artif. Intell. Medicine, 2000

The Representation Race - Preprocessing for Handling Time Phenomena.
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.
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.
Proceedings of the Sixteenth International Conference on Machine Learning (ICML 1999), Bled, Slovenia, June 27, 1999

Tailoring Representations to Different Requirements.
Proceedings of the Algorithmic Learning Theory, 10th International Conference, 1999

1998
Rekonstruktion von Theorieübergängen: Tag/Nachtzyklus-Erklärungen von Kindern verschiedener Altersgruppen.
Kognitionswissenschaft, 1998

How to Tailor Representations to Different Requirements.
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.
Mach. Learn., 1997

Knowledge Discovery in databases - An Inductive Logic Programming Approach.
Proceedings of the Foundations of Computer Science: Potential - Theory, 1997

1996
Learning Concepts from Sensor Data of a Mobile Robot.
Mach. Learn., 1996

Induktion für alle Fälle!
Künstliche Intell., 1996

1995
Editorial: Themenheft Informatik-Ausbildung.
Inform. Spektrum, 1995

1994
Guest Editorial.
Mach. Learn., 1994

A Polynomial Approach to the Constructive Induction of Structural Knowledge.
Mach. Learn., 1994

Knowledgeable learning using MOBAL: A medical case study.
Appl. Artif. Intell., 1994

1993
Balanced Cooperative Modeling.
Mach. Learn., 1993

Europäisches Netzwerk für Maschinelles Lernen.
Künstliche Intell., 1993

1992
9. Internationale Konferenz zum maschinellen Lernen.
Künstliche Intell., 1992

Machine Learning and Knowledge Acquisition, Summary of Research Contributions Presented at IJCAI'91.
AI Commun., 1992

Applications of Machine Learning.
Proceedings of the Current Developments in Knowledge Acquisition, 1992

1991
Machine Learning Toolbox (MLT).
Künstliche Intell., 1991

Maschinelles Lernen in der Bundesrepublik Deutschland: Ergebnis einer Umfrage.
Künstliche Intell., 1991

Panel: Four Stances on Knowledge Acquisition and Machine Learning.
Proceedings of the Machine Learning, 1991

1989
Integration issue in knowledge acquisition systems.
SIGART Newsl., 1989

Bericht des Arbeitskreises Strukturfragen der KI.
Künstliche Intell., 1989

A Bootstrapping Approach to Concept Clustering.
Proceedings of the Sixth International Workshop on Machine Learning (ML 1989), 1989

1987
Acquiring Domain Models.
Int. J. Man Mach. Stud., 1987

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

1986
Talking it Over: The Natural Language Dialog System HAM-ANS.
Proceedings of the Cooperative Interfaces to Information Systems, 1986

1985
The Real Estate Agent: Modeling Users By Uncertain Reasoning.
AI Mag., 1985

Partnermodellierung in Beratungsdialogen.
Proceedings of the Sprachverarbeitung in Information und Dokumentation, 1985

Representing and Processing Copula and Full-Verb Sentences in HAM-ANS.
Proceedings of the GWAI-85, 1985

User Modelling, Dialog Structure, And Dialog Strategy In Ham-Ans.
Proceedings of the EACL 1985, 1985

1984
Customers' Requirements for Natural Language Systems: Results of an Inquiry.
Int. J. Man Mach. Stud., 1984

1983
Partnermodellierung im Evidenzraum.
Proceedings of the GWAI-83, 1983

Demand and Requirements for Natural Language Systems - Results of an Inquiry.
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.
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.
PhD thesis, 1982

1981
Verarbeitung von externer und interner Situation in Überzeugungssystemen.
Proceedings of the GWAI-81, 1981


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