Bernhard Sick

发表

Design and optimization of an autonomous feature selection pipeline for high dimensional, heterogeneous feature spaces

Bernhard Schlegel, Bernhard Sick, 2016, 2016 IEEE Symposium Series on Computational Intelligence (SSCI).

Automated Ground Truth Estimation of Vulnerable Road Users in Automotive Radar Data Using GNSS

Nils Appenrodt, Bernhard Sick, Nicolas Scheiner, 2019, 2019 IEEE MTT-S International Conference on Microwaves for Intelligent Mobility (ICMIM).

Simulation of Annotators for Active Learning: Uncertain Oracles

Bernhard Sick, Adrian Calma, B. Sick, 2017, IAL@PKDD/ECML.

Fast and Efficient Training of RBF Networks

Alexander Hofmann, Bernhard Sick, Oliver Buchtala, 2003, ICANN.

Techniques for knowledge acquisition in dynamically changing environments

Bernhard Sick, Dominik Fisch, Martin Jänicke, 2012, TAAS.

The responsibility weighted Mahalanobis kernel for semi-supervised training of support vector machines for classification

Bernhard Sick, Tobias Reitmaier, B. Sick, 2015, Inf. Sci..

Proceedings of the 19th international conference on Architecture of Computing Systems

Werner Grass, Bernhard Sick, Klaus Waldschmidt, 2006 .

Influences in Forecast Errors for Wind and Photovoltaic Power: A Study on Machine Learning Models

Bernhard Sick, Jens Schreiber, Artjom Buschin, 2019, GI-Jahrestagung.

A Mutual Influence Detection Algorithm for Systems with Local Performance Measurement

Jörg Hähner, Sven Tomforde, Bernhard Sick, 2015, 2015 IEEE 9th International Conference on Self-Adaptive and Self-Organizing Systems.

Toward optimal probabilistic active learning using a Bayesian approach pdf

Bernhard Sick, Georg Krempl, Daniel Kottke, 2020, Machine Learning.

Capacity of Low-Voltage Grids for Distributed Generation: Classification by Means of Stochastic Simulations

Bernhard Sick, Sebastian Breker, Albert Claudi, 2015, IEEE Transactions on Power Systems.

Trust Your Model: Iterative Label Improvement and Robust Training by Confidence Based Filtering and Dataset Partitioning pdf

Heinz Hertlein, Bernhard Sick, Christian Haase-Schütz, 2020, ArXiv.

Indirect On-Line Tool Wear Monitoring

Bernhard Sick, 2004, Computationally Intelligent Hybrid Systems.

Novelty detection with CANDIES: a holistic technique based on probabilistic models

Bernhard Sick, Christian Gruhl, B. Sick, 2018, Int. J. Mach. Learn. Cybern..

An analog ensemble-based similarity search technique for solar power forecasting

Bernhard Sick, André Gensler, Vitali Pankraz, 2016, 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

Early Start Intention Detection of Cyclists Using Motion History Images and a Deep Residual Network

Konrad Doll, Bernhard Sick, Stefan Zernetsch, 2018, 2018 IEEE Intelligent Vehicles Symposium (IV).

Automatic Adaptation of Mobile Activity Recognition Systems to New Sensors

Paul Lukowicz, Bernhard Sick, David Bannach, 2011 .

Technical data mining with evolutionary radial basis function classifiers

Robert Wagner, Bernhard Sick, Ralf Kern, 2009, Appl. Soft Comput..

The FFT butterfly operation in 4 processor cycles on a 24 bit fixed-point DSP with a pipelined multiplier

Bernhard Sick, Martin Grajcar, 1997, 1997 IEEE International Conference on Acoustics, Speech, and Signal Processing.

Automated Active Learning with a Robot

Bernhard Sick, Adrian Calma, Daniel Kottke, 2018 .

Smart Device Stealing and CANDIES

Paul Lukowicz, Sven Tomforde, Bernhard Sick, 2018, ICAART.

Selected papers of the ARCS06 conference: an introduction

Klaus Waldschmidt, Theo Ungerer, Werner Grass, 2006, Personal and Ubiquitous Computing.

Classifying the Wear of Turning Tools with Neural Networks

Bernhard Sick, 1997, ICANN.

Deep Learning for solar power forecasting — An approach using AutoEncoder and LSTM Neural Networks

Bernhard Sick, Nils Raabe, Andre Gensler, 2016, 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

CLeaR: An Adaptive Continual Learning Framework for Regression Tasks pdf

Bernhard Sick, Yujiang He, 2021, ArXiv.

Pose Based Start Intention Detection of Cyclists

Konrad Doll, Bernhard Sick, Stefan Zernetsch, 2019, 2019 IEEE Intelligent Transportation Systems Conference (ITSC).

Online Segmentation of Time Series Based on Polynomial Least-Squares Approximations

Bernhard Sick, Erich Fuchs, Thiemo Gruber, 2010, IEEE Transactions on Pattern Analysis and Machine Intelligence.

An Online Influence Detection Algorithm for Organic Computing Systems

Sven Tomforde, Bernhard Sick, Henner Heck, 2015 .

"Know Thyself" - Computational Self-Reflection in Intelligent Technical Systems

Jörg Hähner, Kurt Geihs, Sven Tomforde, 2014, 2014 IEEE Eighth International Conference on Self-Adaptive and Self-Organizing Systems Workshops.

Correlation of Ontology-Based Semantic Similarity and Human Judgement for a Domain Specific Fashion Ontology

Bernhard Sick, Edgar Kalkowski, B. Sick, 2016, ICWE.

Comparing the Effects of Disturbances in Self-adaptive Systems - A Generalised Approach for the Quantification of Robustness

Christian Müller-Schloer, Sven Tomforde, Bernhard Sick, 2018, Trans. Comput. Collect. Intell..

Collaborative Knowledge Discovery & Data Mining: From Knowledge to Experience

Bernhard Sick, Timo Horeis, B. Sick, 2007, 2007 IEEE Symposium on Computational Intelligence and Data Mining.

Towards automation of knowledge understanding: An approach for probabilistic generative classifiers pdf

Seppo J. Ovaska, Bernhard Sick, Dominik Fisch, 2016, Inf. Sci..

Pose Based Action Recognition of Vulnerable Road Users Using Recurrent Neural Networks

Konrad Doll, Bernhard Sick, Stefan Zernetsch, 2020, 2020 IEEE Symposium Series on Computational Intelligence (SSCI).

Cooperative starting intention detection of cyclists based on smart devices and infrastructure

Konrad Doll, Bernhard Sick, Maarten Bieshaar, 2017, 2017 IEEE 20th International Conference on Intelligent Transportation Systems (ITSC).

Online tool wear classification in turning with time-delay neural networks and process-specific pre-processing

Bernhard Sick, 1998, 1998 IEEE International Joint Conference on Neural Networks Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98CH36227).

Detecting Novel Processes with CANDIES - An Holistic Novelty Detection Technique based on Probabilistic Models pdf

Bernhard Sick, Christian Gruhl, B. Sick, 2016, ArXiv.

Knowledge Fusion for Probabilistic Generative Classifiers with Data Mining Applications

Bernhard Sick, Dominik Fisch, Edgar Kalkowski, 2014, IEEE Transactions on Knowledge and Data Engineering.

Handedness tests for preschool children: A novel approach based on graphics tablets and support vector machines

Britta Meixner, Bernhard Sick, Thiemo Gruber, 2012, Appl. Soft Comput..

Deterministic Error Scores for Model Comparison of Power Forecasting Algorithms

Bernhard Sick, Ruben Jubeh, Andre Gensler, 2017 .

Adaptive Real-time Anomaly-based Intrusion Detection using Data Mining and Machine Learning Techniques

Arno Wacker, Kurt Geihs, Bernhard Sick, 2014 .

Trajectory Forecasts with Uncertainties of Vulnerable Road Users by Means of Neural Networks

Konrad Doll, Bernhard Sick, Stefan Zernetsch, 2019, 2019 IEEE Intelligent Vehicles Symposium (IV).

Active Learning With Realistic Data - A Case Study

Sven Tomforde, Bernhard Sick, Adrian Calma, 2018, 2018 International Joint Conference on Neural Networks (IJCNN).

Blazing Fast Time Series Segmentation Based on Update Techniques for Polynomial Approximations

Bernhard Sick, Thiemo Gruber, Andre Gensler, 2013, 2013 IEEE 13th International Conference on Data Mining Workshops.

Early Pedestrian Movement Detection Using Smart Devices Based on Human Activity Recognition

Dandan Liu, Bernhard Sick, Maarten Bieshaar, 2019, GI-Jahrestagung.

Generative Adversarial Networks for Operational Scenario Planning of Renewable Energy Farms: A Study on Wind and Photovoltaic

Bernhard Sick, Jens Schreiber, Maik Jessulat, 2019, ICANN.

Apparatus and method for monitoring and teaching elementary cleaning and hygiene movement guides in the oral cavity hygiene

Bernhard Sick, Arnulf Deinzer, Wolfgang Halang, 2015 .

The Other Human in The Loop – A Pilot Study to Find Selection Strategies for Active Learning

George Kachergis, Bernhard Sick, Adrian Calma, 2018, 2018 International Joint Conference on Neural Networks (IJCNN).

Normal-Wishart Clustering for Novelty Detection

Bernhard Sick, Christian Gruhl, Sven Tomforde, 2020, 2020 IEEE International Conference on Autonomic Computing and Self-Organizing Systems Companion (ACSOS-C).

So near and yet so far: New insight into properties of some well-known classifier paradigms

Seppo J. Ovaska, Bernhard Sick, Dominik Fisch, 2010, Inf. Sci..

Collaborative Learning by Knowledge Exchange

Bernhard Sick, Dominik Fisch, Edgar Kalkowski, 2011, Organic Computing.

Fusion of hard and soft computing techniques in indirect, online tool wear monitoring

Bernhard Sick, B. Sick, 2002, IEEE Trans. Syst. Man Cybern. Part C.

Generative Exponential Smoothing and Generative ARMA Models to Forecast Time-Variant Rates or Probabilities

Bernhard Sick, Edgar Kalkowski, B. Sick, 2016 .

Recurrent and non-recurrent dynamic network paradigms: a case study

Bernhard Sick, Walter Maydl, 2000, Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks. IJCNN 2000. Neural Computing: New Challenges and Perspectives for the New Millennium.

A review of deterministic error scores and normalization techniques for power forecasting algorithms

Bernhard Sick, Andre Gensler, Stephan Vogt, 2016, 2016 IEEE Symposium Series on Computational Intelligence (SSCI).

Aspects of Measuring and Evaluating the Integration Status of a (Sub-)System at Runtime

Sven Tomforde, Bernhard Sick, Christian Gruhl, 2018, 2018 IEEE 3rd International Workshops on Foundations and Applications of Self* Systems (FAS*W).

Pose Based Trajectory Forecast of Vulnerable Road Users

Konrad Doll, Bernhard Sick, Stefan Zernetsch, 2019, 2019 IEEE Symposium Series on Computational Intelligence (SSCI).

Emerging Relation Network and Task Embedding for Multi-Task Regression Problems pdf

Bernhard Sick, Jens Schreiber, 2020, ArXiv.

Semi-Supervised Active Learning for Support Vector Machines: A Novel Approach that Exploits Structure Information in Data

Bernhard Sick, Adrian Calma, Tobias Reitmaier, 2016, Inf. Sci..

A Novelty-Driven Approach to Intrusion Alert Correlation Based on Distributed Hash Tables

Hermann de Meer, Alexander Hofmann, Bernhard Sick, 2007, 2007 12th IEEE Symposium on Computers and Communications.

Towards an Automated Analysis of Neuroleptics' Impact on Human Hand Motor Skills

Bernhard Sick, Christian Gruber, Christian Hook, 2007, 2007 IEEE Symposium on Computational Intelligence and Bioinformatics and Computational Biology.

Online Signature Verification With Support Vector Machines Based on LCSS Kernel Functions

Bernhard Sick, Christian Gruber, Sebastian Krinninger, 2010, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

SwiftRule: Mining Comprehensible Classification Rules for Time Series Analysis

Dominik Fisch, Bernhard Sick, Thiemo Gruber, 2011, IEEE Transactions on Knowledge and Data Engineering.

Towards a specification technique for component-based measurement and control software for embedded systems

Werner Grass, Bernhard Sick, W. Maydl, 2002, Proceedings. 28th Euromicro Conference.

Lifelong Learning and Collaboration of Smart Technical Systems in Open-Ended Environments -- Opportunistic Collaborative Interactive Learning

Gernot Bahle, Paul Lukowicz, Jan Marco Leimeister, 2016, 2016 IEEE International Conference on Autonomic Computing (ICAC).

Start Intention Detection of Cyclists using an LSTM Network

Konrad Doll, Bernhard Sick, Stefan Zernetsch, 2019, GI-Jahrestagung.

"Know thyselves" - Computational Self-Reflection in Collective Technical Systems

Jörg Hähner, Gerd Stumme, Kurt Geihs, 2016 .

Combining Self-reported Confidences from Uncertain Annotators to Improve Label Quality

Bernhard Sick, Adrian Calma, Daniel Kottke, 2019, 2019 International Joint Conference on Neural Networks (IJCNN).

Towards Cooperative Self-adapting Activity Recognition.

Klaus David, Sven Tomforde, Bernhard Sick, 2018, PECCS 2018.

Limitations of Assessing Active Learning Performance at Runtime pdf

Bernhard Sick, Daniel Kottke, Denis Huseljic, 2019, ArXiv.

A Concept for Securing Cyber-Physical Systems with Organic Computing Techniques

Jörg Hähner, Arno Wacker, Sven Tomforde, 2013, ARCS Workshops.

Novelty-Aware Attack Recognition - Intrusion Detection with Organic Computing Techniques

Bernhard Sick, Dominik Fisch, Ferdinand Kastl, 2010, DIPES/BICC.

Highly Automated Learning for Improved Active Safety of Vulnerable Road Users pdf

Konrad Doll, Bernhard Sick, Maarten Bieshaar, 2018, ArXiv.

Quantile Surfaces - Generalizing Quantile Regression to Multivariate Targets pdf

Bernhard Sick, Maarten Bieshaar, Stephan Vogt, 2020, ArXiv.

Self-Adaptation of Activity Recognition Systems to New Sensors pdf

Paul Lukowicz, Sven Tomforde, Bernhard Sick, 2017, ArXiv.

On Methodological and Technological Challenges for Proactive Health Management in Smart Homes

Reinhold Haux, Ali Sunyaev, Sven Tomforde, 2017, ICIMTH.

Interwoven Systems

Jörg Hähner, Sven Tomforde, Bernhard Sick, 2014, Informatik-Spektrum.

Evolutionary Optimisation of RBF Network Architectures in a Direct Marketing Application

Wendy Gersten, Dirk Arndt, Bernhard Sick, 2003, ICANN.

Editorial

Klaus Waldschmidt, Jan Haase, Werner Grass, 2007, Journal of systems architecture.

Learning by teaching versus learning by doing: Knowledge exchange in organic agent systems

Bernhard Sick, Dominik Fisch, Martin Jänicke, 2009, 2009 IEEE Symposium on Intelligent Agents.

Generalizing application agnostic remaining useful life estimation using data-driven open source algorithms

Sebastian Steinhorst, Bernhard Schlegel, Bernhard Sick, 2018, 2018 IEEE 3rd International Conference on Big Data Analysis (ICBDA).

Architecture optimization of radial basis function networks with a combination of hard- and soft-computing techniques

Bernhard Sick, Manuel Klimek, B. Sick, 2003, SMC'03 Conference Proceedings. 2003 IEEE International Conference on Systems, Man and Cybernetics. Conference Theme - System Security and Assurance (Cat. No.03CH37483).

Comparing Evolvable Hardware to Conventional Classifiers for Electromyographic Prosthetic Hand Control

Marco Platzner, Kyrre Glette, Jim Tørresen, 2008, 2008 NASA/ESA Conference on Adaptive Hardware and Systems.

Cooperative Keep-Alives: An Efficient Outage Detection Algorithm for P2P Overlay Networks

Bernhard Sick, A. Hofmann, Ivan Dedinski, 2007 .

Tool Wear Monitoring in Turning: A Neural Network Application

Bernhard Sick, 2001 .

Using temporal information in input features of neural networks

Bernhard Sick, Erich Fuchs, 1999 .

Probabilistic wind power forecasting: A multi-scheme ensemble technique with gradual coopetitive soft gating

Bernhard Sick, Andre Gensler, B. Sick, 2017, 2017 IEEE Symposium Series on Computational Intelligence (SSCI).

Towards Autonomous Self-Tests at Runtime

Jörg Hähner, Arno Wacker, Sven Tomforde, 2016, 2016 IEEE 1st International Workshops on Foundations and Applications of Self* Systems (FAS*W).

Dealing with Class Imbalance the Scalable Way: Evaluation of Various Techniques Based on Classification Grade and Computational Complexity

Bernhard Schlegel, Bernhard Sick, B. Sick, 2017, 2017 IEEE International Conference on Data Mining Workshops (ICDMW).

A building block for awareness in technical systems: Online novelty detection and reaction with an application in intrusion detection

Jörg Hähner, Arno Wacker, Sven Tomforde, 2015, 2015 IEEE 7th International Conference on Awareness Science and Technology (iCAST).

Novel Criteria to Measure Performance of Time Series Segmentation Techniques

Bernhard Sick, Andre Gensler, 2014, LWA.

Engineering and Mastering Interwoven Systems

Jörg Hähner, Arno Wacker, Ingo Scholtes, 2014, ARCS Workshops.

Extended Coopetitive Soft Gating Ensemble pdf

Bernhard Sick, Maarten Bieshaar, Jens Schreiber, 2020, ArXiv.

Architecture of Computing Systems - ARCS 2006

Klaus Waldschmidt, Werner Grass, Bernhard Sick, 2006, Lecture Notes in Computer Science.

Collaborative Interactive Learning (Aktuelles Schlagwort)

Sven Tomforde, Albrecht Schmidt, Katharina Anna Zweig, 2017 .

Camera based pedestrian path prediction by means of polynomial least-squares approximation and multilayer perceptron neural networks

Michael Goldhammer, Konrad Doll, Bernhard Sick, 2015, 2015 SAI Intelligent Systems Conference (IntelliSys).

Dealing with human variability in motion based, wearable activity recognition

Paul Lukowicz, Bernhard Sick, Matthias Kreil, 2014, 2014 IEEE International Conference on Pervasive Computing and Communication Workshops (PERCOM WORKSHOPS).

Emergence in Organic Computing Systems: Discussion of a Controversial Concept

Christian Müller-Schloer, Bernhard Sick, 2006, ATC.

Radar-based Road User Classification and Novelty Detection with Recurrent Neural Network Ensembles

Nils Appenrodt, Bernhard Sick, Nicolas Scheiner, 2019, 2019 IEEE Intelligent Vehicles Symposium (IV).

Cyclists' starting behavior at intersections

Konrad Doll, Bernhard Sick, Stefan Zernetsch, 2017, 2017 IEEE Intelligent Vehicles Symposium (IV).

Cooperative Tracking of Cyclists Based on Smart Devices and Infrastructure

Konrad Doll, Bernhard Sick, Maarten Bieshaar, 2018, 2018 21st International Conference on Intelligent Transportation Systems (ITSC).

Classification of Electromyographic Signals: Comparing Evolvable Hardware to Conventional Classifiers

Marco Platzner, Kyrre Glette, Jim Tørresen, 2013, IEEE Transactions on Evolutionary Computation.

Quantifying the Influences on Probabilistic Wind Power Forecasts pdf

Bernhard Sick, Jens Schreiber, B. Sick, 2018, ArXiv.

Basic Technologies for Knowledge Transfer in Intelligent Systems

Bernhard Sick, Oliver Buchtala, 2007, 2007 IEEE Symposium on Artificial Life.

Organic Computing in the Spotlight pdf

Christian Müller-Schloer, Sven Tomforde, Bernhard Sick, 2017, ArXiv.

On-line tool wear monitoring in turning using neural networks

Bernhard Sick, 2005, Neural Computing & Applications.

Online Intrusion Alert Aggregation with Generative Data Stream Modeling

Alexander Hofmann, Bernhard Sick, 2011, IEEE Transactions on Dependable and Secure Computing.

A Comparison of Traditional and Soft-Computing Methods in a Real-Time Control Application

Bernhard Sick, Stefan Seltzsam, Markus Keidl, 1998 .

Architecture of Computing Systems – ARCS 2013

Hana Kubatova, Bernhard Sick, Christian Hochberger, 2013, Lecture Notes in Computer Science.

A Source Routing Solution to Non-Transitive Connectivity Problems in Distributed Hash Tables

Andreas Berl, Hermann de Meer, Alexander Hofmann, 2007, 2007 12th IEEE Symposium on Computers and Communications.

Representation Learning in Power Time Series Forecasting

Bernhard Sick, Janosch Henze, Jens Schreiber, 2019, Deep Learning: Algorithms and Applications.

Cooperative Keep-Alives: An Efficient Outage Detection Algorithm for P2P Overlay Networks

Alexander Hofmann, Bernhard Sick, Ivan Dedinski, 2007, Seventh IEEE International Conference on Peer-to-Peer Computing (P2P 2007).

Intrusion Detection in Computer Networks with Neural and Fuzzy Classifiers

Alexander Hofmann, Bernhard Sick, Carsten Schmitz, 2003, ICANN.

Architecture of computing systems - ARCS 2006 : 19th International Conference, Frankfurt/Main, Germany, March 13-16, 2006 : proceedings

Klaus Waldschmidt, Werner Grass, Bernhard Sick, 2006 .

Processing short-term and long-term information with a combination of hardand soft-computing techniques

Bernhard Sick, Christian Gruber, 2003, SMC'03 Conference Proceedings. 2003 IEEE International Conference on Systems, Man and Cybernetics. Conference Theme - System Security and Assurance (Cat. No.03CH37483).

Coping with variability in motion based activity recognition

Paul Lukowicz, Bernhard Sick, Matthias Kreil, 2016, iWOAR.

Learning from others: Exchange of classification rules in intelligent distributed systems

Bernhard Sick, Dominik Fisch, Edgar Kalkowski, 2012, Artif. Intell..

Towards Cooperative Self-adapting Activity Recognition

Klaus David, Sven Tomforde, Bernhard Sick, 2018, PECCS.

Forecasting wind power - an ensemble technique with gradual coopetitive weighting based on weather situation

Bernhard Sick, Andre Gensler, B. Sick, 2016, 2016 International Joint Conference on Neural Networks (IJCNN).

Resp-kNN: A probabilistic k-nearest neighbor classifier for sparsely labeled data

Bernhard Sick, Adrian Calma, Tobias Reitmaier, 2016, 2016 International Joint Conference on Neural Networks (IJCNN).

Controlled Emergence and Self-Organization

Bernhard Sick, Christian Müller-Schloer, 2008, Organic Computing.

Signalinterpretation mit neuronalen Netzen unter Nutzung von modellbasiertem Nebenwissen am Beispiel der Verschleißüberwachung von Werkzeugen in CNC-Drehmaschinen

Bernhard Sick, 1999, Ausgezeichnete Informatikdissertationen.

Forecasting exchange rates with ensemble neural networks and ensemble K-PLS: A case study for the US Dollar per Indian Rupee

Bernhard Sick, Christopher J. Gatti, Jonathan D. Linton, 2012, The 2012 International Joint Conference on Neural Networks (IJCNN).

Performing event detection in time series with SwiftEvent: an algorithm with supervised learning of detection criteria

Bernhard Sick, Andre Gensler, B. Sick, 2018, Pattern Analysis and Applications.

Challenges of Reliable, Realistic and Comparable Active Learning Evaluation

Bernhard Sick, Adrian Calma, Georg Krempl, 2017, IAL@PKDD/ECML.

All for one or one for all? Combining heterogeneous features for activity spotting

Paul Lukowicz, Bernt Schiele, Bernhard Sick, 2010, 2010 8th IEEE International Conference on Pervasive Computing and Communications Workshops (PERCOM Workshops).

A review of uncertainty representations and metaverification of uncertainty assessment techniques for renewable energies

Bernhard Sick, Stephan Vogt, Andre Gensler, 2018, Renewable and Sustainable Energy Reviews.

Lower Bound Bayesian Networks - An Efficient Inference of Lower Bounds on Probability Distributions in Bayesian Networks

Bernhard Sick, Daniel Andrade, 2009, UAI.

Coopetitive Soft Gating Ensemble

Bernhard Sick, Maarten Bieshaar, Andre Gensler, 2018, 2018 IEEE 3rd International Workshops on Foundations and Applications of Self* Systems (FAS*W).

Efficient SVDD Sampling with Approximation Guarantees for the Decision Boundary pdf

Adrian Englhardt, Bernhard Sick, Daniel Kottke, 2020, ArXiv.

From Active Learning to Dedicated Collaborative Interactive Learning

Paul Lukowicz, Gerd Stumme, Katharina Anna Zweig, 2016 .

Human Pose Estimation in Real Traffic Scenes

Konrad Doll, Bernhard Sick, Stefan Zernetsch, 2018, 2018 IEEE Symposium Series on Computational Intelligence (SSCI).

Fusion of soft computing and hard computing: Applications and research opportunities

Seppo J. Ovaska, Bernhard Sick, 2006 .

Divergence Measures as a Generalised Approach to Quantitative Emergence

Bernhard Sick, Christian Müller-Schloer, Dominik Fisch, 2011, Organic Computing.

Hazard Situation Prediction Using Spatially and Temporally Distributed Vehicle Sensor Information

Bernhard Sick, Markus Strassberger, Thomas Schon, 2007, 2007 IEEE Symposium on Computational Intelligence and Data Mining.

Runtime Self-Integration as Key Challenge for Mastering Interwoven Systems

Paul Lukowicz, Uwe Brinkschulte, Sanaz Mostaghim, 2015 .

Seeing Around Street Corners: Non-Line-of-Sight Detection and Tracking In-the-Wild Using Doppler Radar

Felix Heide, Nils Appenrodt, Klaus Dietmayer, 2019, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Collaborative Interactive Learning

Sven Tomforde, Katharina Anna Zweig, Bernhard Sick, 2017, Informatik-Spektrum.

Sampling Strategies for Representative Time Series in Load Flow Calculations

Bernhard Sick, Janosch Henze, Stephan Kutzner, 2018, DARE@PKDD/ECML.

Active Sorting – An Efficient Training of a Sorting Robot with Active Learning Techniques

Bernhard Sick, Adrian Calma, Daniel Kottke, 2018, 2018 International Joint Conference on Neural Networks (IJCNN).

Car Drive Classification and Context Recognition for Personalized Entertainment Preference Learning

Kevin Wiesner, Bernhard Sick, Stefan Haas, 2015 .

Detecting Intentions of Vulnerable Road Users Based on Collective Intelligence pdf

Konrad Doll, Bernhard Sick, Maarten Bieshaar, 2018, ArXiv.

Rule extraction from neural networks for intrusion detection in computer networks

Alexander Hofmann, Bernhard Sick, Carsten Schmitz, 2003, SMC'03 Conference Proceedings. 2003 IEEE International Conference on Systems, Man and Cybernetics. Conference Theme - System Security and Assurance (Cat. No.03CH37483).

Improving Self-Adaptation For Multi-Sensor Activity Recognition with Active Learning

Bernhard Sick, Daniel Kottke, Christian Gruhl, 2020, 2020 International Joint Conference on Neural Networks (IJCNN).

Identifying Representative Load Time Series for Load Flow Calculations

Martin Braun, Bernhard Sick, Tanja Kneiske, 2017, DARE@PKDD/ECML.

Online tool wear monitoring in turning using time-delay neural networks

Bernhard Sick, 1998, Proceedings of the 1998 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '98 (Cat. No.98CH36181).

Intentions of Vulnerable Road Users—Detection and Forecasting by Means of Machine Learning

Klaus C. J. Dietmayer, Michael Goldhammer, Konrad Doll, 2018, IEEE Transactions on Intelligent Transportation Systems.

Starting Movement Detection of Cyclists Using Smart Devices

Bernhard Sick, Jan Schneegans, Maarten Bieshaar, 2018, 2018 IEEE 5th International Conference on Data Science and Advanced Analytics (DSAA).

Fast and efficient second-order training of the dynamic neural network paradigm

Bernhard Sick, C. Gruber, B. Sick, 2003, Proceedings of the International Joint Conference on Neural Networks, 2003..

Radar-based Feature Design and Multiclass Classification for Road User Recognition

Jürgen Dickmann, Nils Appenrodt, Bernhard Sick, 2018, 2018 IEEE Intelligent Vehicles Symposium (IV).

Leveraging the Potentials of Dedicated Collaborative Interactive Learning: Conceptual Foundations to Overcome Uncertainty by Human-Machine Collaboration

Jan Marco Leimeister, Bernhard Sick, Adrian Calma, 2018, HICSS.

Goodness of Fit: Measures for a Fuzzy Classifier

Bernhard Sick, Oliver Buchtala, B. Sick, 2007, 2007 IEEE Symposium on Foundations of Computational Intelligence.

Let us know your decision: Pool-based active training of a generative classifier with the selection strategy 4DS

Bernhard Sick, Tobias Reitmaier, B. Sick, 2013, Inf. Sci..

Active classifier training with the 3DS strategy

Bernhard Sick, Tobias Reitmaier, 2011, 2011 IEEE Symposium on Computational Intelligence and Data Mining (CIDM).

Online Signature Verification with New Time Series Kernels for Support Vector Machines

Bernhard Sick, Christian Gruber, Thiemo Gruber, 2006, ICB.

Cooperative Starting Movement Detection of Cyclists Using Convolutional Neural Networks and a Boosted Stacking Ensemble

Konrad Doll, Bernhard Sick, Maarten Bieshaar, 2018, IEEE Transactions on Intelligent Vehicles.

Learning to Learn: Dynamic Runtime Exploitation of Various Knowledge Sources and Machine Learning Paradigms

Sven Tomforde, Bernhard Sick, Adrian Calma, 2017, 2017 IEEE 2nd International Workshops on Foundations and Applications of Self* Systems (FAS*W).

On-line motif detection in time series with SwiftMotif

Bernhard Sick, Erich Fuchs, Thiemo Gruber, 2009, Pattern Recognit..

Self-Adaptive Multi-Sensor Activity Recognition Systems Based on Gaussian Mixture Models

Sven Tomforde, Bernhard Sick, Martin Jänicke, 2018, Informatics.

A Toolchain for Context Recognition: Automating the Investigation of a Multitude of Parameter Sets

Sian Lun Lau, Klaus David, Bernhard Sick, 2015, 2015 IEEE 82nd Vehicular Technology Conference (VTC2015-Fall).

Evolutionary optimization of radial basis function classifiers for data mining applications

Bernhard Sick, Oliver Buchtala, Manuel Klimek, 2005, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

A Multi-Stage Clustering Framework for Automotive Radar Data

Nils Appenrodt, Bernhard Sick, Nicolas Scheiner, 2019, 2019 IEEE Intelligent Transportation Systems Conference (ITSC).

Training of radial basis function classifiers with resilient propagation and variational Bayesian inference

Bernhard Sick, Dominik Fisch, B. Sick, 2009, 2009 International Joint Conference on Neural Networks.

Model-predictive planning for autonomous vehicles anticipating intentions of vulnerable road users by artificial neural networks

Olaf Stursberg, Konrad Doll, Bernhard Sick, 2017, 2017 IEEE Symposium Series on Computational Intelligence (SSCI).

Measuring Self-organisation at Runtime - A Quantification Method based on Divergence Measures

Sven Tomforde, Bernhard Sick, Jan Kantert, 2017, ICAART.

Quantitative Robustness - A Generalised Approach to Compare the Impact of Disturbances in Self-organising Systems

Christian Müller-Schloer, Sven Tomforde, Bernhard Sick, 2017, ICAART.

Towards Self-Improving Activity Recognition Systems Based on Probabilistic, Generative Models

Sven Tomforde, Bernhard Sick, Martin Jänicke, 2016, 2016 IEEE International Conference on Autonomic Computing (ICAC).

Signature Verification with Dynamic RBF Networks and Time Series Motifs

Bernhard Sick, Christian Gruber, Michael Coduro, 2006 .

Location based learning of user behavior for proactive recommender systems in car comfort functions

Bernhard Sick, Andreas Huber, Martin Jänicke, 2014, GI-Jahrestagung.

Probabilistic upscaling and aggregation of wind power forecasts

Malte Siefert, Bernhard Sick, Sascha Bremicker-Trübelhorn, 2020 .

Trajectory prediction of cyclists using a physical model and an artificial neural network

Michael Goldhammer, Konrad Doll, Bernhard Sick, 2016, 2016 IEEE Intelligent Vehicles Symposium (IV).

Using grid supporting flexibility in electricity distribution networks

Bernhard Sick, Immanuel König, Klaus David, 2019, GI-Jahrestagung.

Pedestrian's Trajectory Forecast in Public Traffic with Artificial Neural Networks

Michael Goldhammer, Ulrich Brunsmann, Konrad Doll, 2014, 2014 22nd International Conference on Pattern Recognition.

Off-the-shelf sensor vs. experimental radar - How much resolution is necessary in automotive radar classification?

Nils Appenrodt, Bernhard Sick, Nicolas Scheiner, 2020, 2020 IEEE 23rd International Conference on Information Fusion (FUSION).

Collaborative Interactive Learning - A clarification of terms and a differentiation from other research fields pdf

Paul Lukowicz, Albrecht Schmidt, Jan Marco Leimeister, 2019, ArXiv.

Generating Shifting Workloads to Benchmark Adaptability in Relational Database Systems

Tilmann Rabl, Harald Kosch, Thomas Hackl, 2009, TPCTC.

Messen, Steuern und Regeln mit ICONNECT

Bernhard Sick, Roland Mandl, 2003 .

Iterative Label Improvement: Robust Training by Confidence Based Filtering and Dataset Partitioning

Heinz Hertlein, Bernhard Sick, Rainer Stal, 2020 .

Hosting capacity of low-voltage grids for distributed generation: Classification by means of machine learning techniques

Martin Braun, Bernhard Sick, Sebastian Breker, 2018, Appl. Soft Comput..

A Concept for Productivity Tracking based on Collaborative Interactive Learning Techniques

Paul Lukowicz, Gerd Stumme, Sven Tomforde, 2018 .

Multisensorfusion bei der Verarbeitung mikrosystembasierter Signale

Werner Grass, Bernhard Sick, Klaus Donner, 1999, Informationstechnik Tech. Inform..

Variational Bayesian Inference for Hidden Markov Models With Multivariate Gaussian Output Distributions pdf

Bernhard Sick, Christian Gruhl, 2016, ArXiv.

Fusion of soft and hard computing: multi-dimensional categorization of computationally intelligent hybrid systems

Seppo J. Ovaska, Bernhard Sick, S. Ovaska, 2007, Neural Computing and Applications.

Using Ontology-Based Similarity Measures to Find Training Data for Problems with Sparse Data

Bernhard Sick, Edgar Kalkowski, B. Sick, 2015, 2015 IEEE International Conference on Systems, Man, and Cybernetics.

Functional Knowledge Exchange Within an Intelligent Distributed System

Bernhard Sick, Oliver Buchtala, B. Sick, 2007, ARCS.

Novelty detection in continuously changing environments

Bernhard Sick, Christian Gruhl, Sven Tomforde, 2021, Future Gener. Comput. Syst..

Transductive active learning - A new semi-supervised learning approach based on iteratively refined generative models to capture structure in data

Bernhard Sick, Adrian Calma, Tobias Reitmaier, 2015, Inf. Sci..

ON-LINE AND INDIRECT TOOL WEAR MONITORING IN TURNING WITH ARTIFICIAL NEURAL NETWORKS: A REVIEW OF MORE THAN A DECADE OF RESEARCH

Bernhard Sick, B. Sick, 2002 .

Forecasting Power Grid States for Regional Energy Markets with Deep Neural Networks

Bernhard Sick, Janosch Henze, Yujiang He, 2020, 2020 International Joint Conference on Neural Networks (IJCNN).

Chances and Risks of Sensor Fusion with Neural Networks: An Application Example

Bernhard Sick, 1998 .

Automated Ground Truth Estimation for Automotive Radar Tracking Applications With Portable GNSS And IMU Devices

Nils Appenrodt, Bharanidhar Duraisamy, Bernhard Sick, 2019, 2019 20th International Radar Symposium (IRS).

Hijacked Smart Devices - Methodical Foundations for Autonomous Theft Awareness based on Activity Recognition and Novelty Detection

Paul Lukowicz, Sven Tomforde, Bernhard Sick, 2018, ICAART.

Reconstruction of offsets of an electron gun using deep learning and an optimization algorithm

Bernhard Sick, David Meier, Gregor Hartmann, 2020, Optical Engineering + Applications.

Component-based Measurement and Control Software for Embedded Systems

Werner Grass, Bernhard Sick, Walter Maydl, 2004 .

Calibration of self-organizing maps for classification tasks

Bernhard Sick, Claudia Bach, Stefan Bredl, 2003, SMC'03 Conference Proceedings. 2003 IEEE International Conference on Systems, Man and Cybernetics. Conference Theme - System Security and Assurance (Cat. No.03CH37483).

Evolutionary optimization of radial basis function networks for intrusion detection

Bernhard Sick, A. Hofmann, 2003, Proceedings of the International Joint Conference on Neural Networks, 2003..

Periodical switching between related goals for improving evolvability to a fixed goal in multi-objective problems

Alden H. Wright, Seppo J. Ovaska, Bernhard Sick, 2009, Inf. Sci..

Towards Proactive Health-Enabling Living Environments: Simulation-Based Study and Research Challenges

Reinhold Haux, Sven Tomforde, Ali Sunyaev, 2018 .

Any problems? a wearable sensor-based platform for representational learning-analytics.

Paul Lukowicz, Bernhard Sick, Gerald Pirkl, 2016, UbiComp Adjunct.

Fast Feature Extraction for Time Series Analysis Using Least-Squares Approximations with Orthogonal Basis Functions

Bernhard Sick, Thiemo Gruber, Andre Gensler, 2015, 2015 22nd International Symposium on Temporal Representation and Reasoning (TIME).

Towards a Specification Technique for Component-Based Measurement and Control Software for Embedded Systems

Werner Grass, Bernhard Sick, Walter Maydl, 2002, EUROMICRO.

Temporal data mining using shape space representations of time series

Bernhard Sick, Erich Fuchs, Thiemo Gruber, 2010, Neurocomputing.

Analysis on termination of pedestrians' gait at urban intersections

Michael Goldhammer, Ulrich Brunsmann, Konrad Doll, 2014, 17th International IEEE Conference on Intelligent Transportation Systems (ITSC).

A Swarm-fleet Infrastructure as a Scenario for Proactive, Hybrid Adaptation of System Behaviour

Bernhard Sick, Christian Gruhl, Sven Tomforde, 2020, 2020 IEEE International Conference on Autonomic Computing and Self-Organizing Systems Companion (ACSOS-C).

Combination of uncertain ordinal expert statements: The combination rule EIDMR and its application to low-voltage grid classification with SVM

Bernhard Sick, Sebastian Breker, B. Sick, 2016, 2016 International Joint Conference on Neural Networks (IJCNN).

A New Vision of Collaborative Active Learning pdf

Paul Lukowicz, Bernhard Sick, Adrian Calma, 2015, ArXiv.

Processing Short-Term and Long-Term Information With a Combination of Polynomial Approximation Techniques and Time-Delay Neural Networks

Bernhard Sick, Christian Gruber, Tobias Reitmaier, 2009, IEEE Transactions on Neural Networks.

In Your Interest - Objective Interestingness Measures for a Generative Classifier

Seppo J. Ovaska, Bernhard Sick, Dominik Fisch, 2011, ICAART.

Quantitative Emergence -- A Refined Approach Based on Divergence Measures

Christian Müller-Schloer, Dominik Fisch, Bernhard Sick, 2010, 2010 Fourth IEEE International Conference on Self-Adaptive and Self-Organizing Systems.

Multi-k-Resilience in Distributed Adaptive Cyber-Physical Systems

Bernhard Sick, Henner Heck, Stefan Rudolph, 2016 .

Temporal data analytics based on eigenmotif and shape space representations of time series

Jens Willkomm, Bernhard Sick, Andre Gensler, 2014, 2014 IEEE China Summit & International Conference on Signal and Information Processing (ChinaSIP).

Monitoring the wear of cutting tools in CNC-lathes with artificial neural networks

Bernhard Sick, 1997, 1997 IEEE International Conference on Acoustics, Speech, and Signal Processing.

On the versatility of radial basis function neural networks: A case study in the field of intrusion detection

Alexander Hofmann, Bernhard Sick, Dominik Fisch, 2010, Inf. Sci..

Security Issues in Self-Improving System Integration – Challenges and Solution Strategies

Sven Tomforde, Bernhard Sick, Henner Heck, 2018, 2018 IEEE 3rd International Workshops on Foundations and Applications of Self* Systems (FAS*W).

SISSY 2018 Foreword

Ada Diaconescu, Christopher Stewart, Uwe Brinkschulte, 2018, 2018 IEEE 3rd International Workshops on Foundations and Applications of Self* Systems (FAS*W).

Self-Adapting Multi-sensor Systems: A Concept for Self-Improvement and Self-Healing Techniques

Paul Lukowicz, Bernhard Sick, Martin Jänicke, 2014, 2014 IEEE Eighth International Conference on Self-Adaptive and Self-Organizing Systems Workshops.

On general purpose time series similarity measures and their use as kernel functions in support vector machines

Paul Lukowicz, Klaus David, Bernhard Sick, 2014, Inf. Sci..

scikit-activeml: A Library and Toolbox for Active Learning Algorithms

Bernhard Sick, Daniel Kottke, Marek Herde, 2021 .

Smart Infrastructure: A Research Junction

Konrad Doll, Bernhard Sick, Hannes Reichert, 2021, 2021 IEEE International Smart Cities Conference (ISC2).

Towards Sensor Data Abstraction of Autonomous Vehicle Perception Systems

Konrad Doll, Hans-Christian Reuss, Bernhard Sick, 2021, 2021 IEEE International Smart Cities Conference (ISC2).

Probabilistic VRU Trajectory Forecasting for Model-Predictive Planning A Case Study: Overtaking Cyclists

Olaf Stursberg, Konrad Doll, Bernhard Sick, 2021, 2021 IEEE Intelligent Vehicles Symposium Workshops (IV Workshops).

Task Embedding Temporal Convolution Networks for Transfer Learning Problems in Renewable Power Time Series Forecast

Bernhard Sick, Stephan Vogt, Jens Schreiber, 2021, ECML/PKDD.

Iterative Label Improvement: Robust Training by Confidence Based Filtering and Dataset Partitioning

Heinz Hertlein, Bernhard Sick, Rainer Stal, 2021, 2020 25th International Conference on Pattern Recognition (ICPR).

CLeaR: An adaptive continual learning framework for regression tasks

Bernhard Sick, Yujiang He, B. Sick, 2021, AI Perspectives.

About the Ambiguity of Data Augmentation for 3D Object Detection in Autonomous Driving

Bernhard Sick, Matthias Reuse, Martin Simon, 2021, 2021 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW).

Description of Corner Cases in Automated Driving: Goals and Challenges

Tim Fingscheidt, Bernhard Sick, Maarten Bieshaar, 2021, 2021 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW).

Out-of-distribution Detection and Generation using Soft Brownian Offset Sampling and Autoencoders

Bernhard Sick, Denis Huseljic, Maarten Bieshaar, 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

Separation of Aleatoric and Epistemic Uncertainty in Deterministic Deep Neural Networks

Bernhard Sick, Daniel Kottke, Marek Herde, 2021, 2020 25th International Conference on Pattern Recognition (ICPR).

Cyclist Intention Detection: A Probabilistic Approach pdf

Konrad Doll, Bernhard Sick, Stefan Zernetsch, 2021, ArXiv.

Toward Application of Continuous Power Forecasts in a Regional Flexibility Market

Bernhard Sick, Yujiang He, Zhixin Huang, 2021, 2021 International Joint Conference on Neural Networks (IJCNN).

Probabilistic Active Learning for Active Class Selection pdf

Myra Spiliopoulou, Bernhard Sick, Tim Sabsch, 2021, ArXiv.

Image Sequence Based Cyclist Action Recognition Using Multi-Stream 3D Convolution

Konrad Doll, Bernhard Sick, Stefan Zernetsch, 2021, 2020 25th International Conference on Pattern Recognition (ICPR).

Pose and Semantic Map Based Probabilistic Forecast of Vulnerable Road Users’ Trajectories pdf

Konrad Doll, Bernhard Sick, Stefan Zernetsch, 2021, IEEE Transactions on Intelligent Vehicles.

An Application-Driven Conceptualization of Corner Cases for Perception in Highly Automated Driving

Tim Fingscheidt, Bernhard Sick, Christoph Stiller, 2021, 2021 IEEE Intelligent Vehicles Symposium (IV).

Multi-Annotator Probabilistic Active Learning

Bernhard Sick, Daniel Kottke, Marek Herde, 2021, 2020 25th International Conference on Pattern Recognition (ICPR).

Visualizing the Behavior of Convolutional Neural Networks for Time Series Forecasting

Bernhard Sick, Janosch Henze, 2021 .

Anomaly based Resilient Network Intrusion Detection using Inferential Autoencoders

Bernhard Sick, Christian Gruhl, Abdul Hannan, 2021, 2021 IEEE International Conference on Cyber Security and Resilience (CSR).

Towards Organic Distribution Systems - The Vision of Self-Configuring, Self-Organising, Self-Healing, and Self-Optimising Power Distribution Management pdf

Jan-Hendrik Menke, Martin Braun, Sven Tomforde, 2021, ArXiv.

Towards Highly Automated Machine-Learning-Empowered Monitoring of Motor Test Stands

Peter Zipf, Ludwig Brabetz, Bernhard Sick, 2021, 2021 IEEE International Conference on Autonomic Computing and Self-Organizing Systems (ACSOS).

Cyclist Trajectory Forecasts by Incorporation of Multi-View Video Information

Konrad Doll, Bernhard Sick, Stefan Zernetsch, 2021, 2021 IEEE International Smart Cities Conference (ISC2).

A Survey on Cost Types, Interaction Schemes, and Annotator Performance Models in Selection Algorithms for Active Learning in Classification

Bernhard Sick, Adrian Calma, Marek Herde, 2021, IEEE Access.

Determination of Optimal CT Scan Parameters Using Radial Basis Function Neural Networks

Bernhard Sick, Roswitha Giedl-Wagner, Thomas Miller, 2012 .

A Multi-Scheme Ensemble Using Coopetitive Soft-Gating With Application to Power Forecasting for Renewable Energy Generation

Bernhard Sick, Andr'e Gensler, B. Sick, 2018, 1803.06344.

Structure evolution for time-delay neural networks

Bernhard Sick, B. Sick, 1999 .