Bernhard Sick

Affiliations:
  • University of Kassel, Germany


According to our database1, Bernhard Sick authored at least 211 papers between 1997 and 2022.

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Bibliography

2022
Efficient SVDD sampling with approximation guarantees for the decision boundary.
Mach. Learn., 2022

Social Machines.
Inform. Spektrum, 2022

Proactive hybrid learning and optimisation in self-adaptive systems: The swarm-fleet infrastructure scenario.
Inf. Softw. Technol., 2022

Model Selection, Adaptation, and Combination for Deep Transfer Learning through Neural Networks in Renewable Energies.
CoRR, 2022

Synthetic Photovoltaic and Wind Power Forecasting Data.
CoRR, 2022

Design of Explainability Module with Experts in the Loop for Visualization and Dynamic Adjustment of Continual Learning.
CoRR, 2022

2021
Toward optimal probabilistic active learning using a Bayesian approach.
Mach. Learn., 2021

Hybride Wissensarbeit.
Inform. Spektrum, 2021

Novelty detection in continuously changing environments.
Future Gener. Comput. Syst., 2021

AdaPT: Adaptable Particle Tracking for spherical microparticles in lab on chip systems.
Comput. Phys. Commun., 2021

Towards Organic Distribution Systems - The Vision of Self-Configuring, Self-Organising, Self-Healing, and Self-Optimising Power Distribution Management.
CoRR, 2021

Toward AI-enhanced online-characterization and shaping of ultrashort X-ray free-electron laser pulses.
CoRR, 2021

Probabilistic Active Learning for Active Class Selection.
CoRR, 2021

Pose and Semantic Map Based Probabilistic Forecast of Vulnerable Road Users' Trajectories.
CoRR, 2021

Cyclist Intention Detection: A Probabilistic Approach.
CoRR, 2021

CLeaR: An Adaptive Continual Learning Framework for Regression Tasks.
CoRR, 2021

A Survey on Cost Types, Interaction Schemes, and Annotator Performance Models in Selection Algorithms for Active Learning in Classification.
IEEE Access, 2021

Cyclist Motion State Forecasting - Going beyond Detection.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

Task Embedding Temporal Convolution Networks for Transfer Learning Problems in Renewable Power Time Series Forecast.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track, 2021

Probabilistic VRU Trajectory Forecasting for Model-Predictive Planning A Case Study: Overtaking Cyclists.
Proceedings of the IEEE Intelligent Vehicles Symposium Workshops, 2021

An Application-Driven Conceptualization of Corner Cases for Perception in Highly Automated Driving.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2021

Cyclist Trajectory Forecasts by Incorporation of Multi-View Video Information.
Proceedings of the IEEE International Smart Cities Conference, 2021

Towards Sensor Data Abstraction of Autonomous Vehicle Perception Systems.
Proceedings of the IEEE International Smart Cities Conference, 2021

Smart Infrastructure: A Research Junction.
Proceedings of the IEEE International Smart Cities Conference, 2021

Toward Application of Continuous Power Forecasts in a Regional Flexibility Market.
Proceedings of the International Joint Conference on Neural Networks, 2021

About the Ambiguity of Data Augmentation for 3D Object Detection in Autonomous Driving.
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

Description of Corner Cases in Automated Driving: Goals and Challenges.
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

Out-of-Distribution Detection and Generation Using Soft Brownian Offset Sampling and Autoencoders.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

Anomaly based Resilient Network Intrusion Detection using Inferential Autoencoders.
Proceedings of the IEEE International Conference on Cyber Security and Resilience, 2021

AI - Based On The Fly Design of Experiments in Physics and Engineering.
Proceedings of the IEEE International Conference on Autonomic Computing and Self-Organizing Systems, 2021

Towards Highly Automated Machine-Learning-Empowered Monitoring of Motor Test Stands.
Proceedings of the IEEE International Conference on Autonomic Computing and Self-Organizing Systems, 2021

2020
Intentions of Vulnerable Road Users - Detection and Forecasting by Means of Machine Learning.
IEEE Trans. Intell. Transp. Syst., 2020

Quantile Surfaces - Generalizing Quantile Regression to Multivariate Targets.
CoRR, 2020

Extended Coopetitive Soft Gating Ensemble.
CoRR, 2020

Trust Your Model: Iterative Label Improvement and Robust Training by Confidence Based Filtering and Dataset Partitioning.
CoRR, 2020

Pose Based Action Recognition of Vulnerable Road Users Using Recurrent Neural Networks.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

Improving Self-Adaptation For Multi-Sensor Activity Recognition with Active Learning.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Forecasting Power Grid States for Regional Energy Markets with Deep Neural Networks.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Image Sequence Based Cyclist Action Recognition Using Multi-Stream 3D Convolution.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Emerging Relation Network and Task Embedding for Multi-Task Regression Problems.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Intelligent and Interactive Video Annotation for Instance Segmentation Using Siamese Neural Networks.
Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 2020

Pose Based Trajectory Forecast of Vulnerable Road Users Using Recurrent Neural Networks.
Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 2020

Separation of Aleatoric and Epistemic Uncertainty in Deterministic Deep Neural Networks.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Multi-Annotator Probabilistic Active Learning.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Towards Corner Case Detection by Modeling the Uncertainty of Instance Segmentation Networks.
Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 2020

Novelty Based Driver Identification on RR Intervals from ECG Data.
Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 2020

Iterative Label Improvement: Robust Training by Confidence Based Filtering and Dataset Partitioning.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Off-the-shelf sensor vs. experimental radar - How much resolution is necessary in automotive radar classification?
Proceedings of the IEEE 23rd International Conference on Information Fusion, 2020

Seeing Around Street Corners: Non-Line-of-Sight Detection and Tracking In-the-Wild Using Doppler Radar.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

A Swarm-fleet Infrastructure as a Scenario for Proactive, Hybrid Adaptation of System Behaviour.
Proceedings of the 2020 IEEE International Conference on Autonomic Computing and Self-Organizing Systems, 2020

Normal-Wishart Clustering for Novelty Detection.
Proceedings of the 2020 IEEE International Conference on Autonomic Computing and Self-Organizing Systems, 2020

2019
Automated Ground Truth Estimation For Automotive Radar Tracking Applications With Portable GNSS And IMU Devices.
CoRR, 2019

Automated Ground Truth Estimation of Vulnerable Road Users in Automotive Radar Data Using GNSS.
CoRR, 2019

Collaborative Interactive Learning - A clarification of terms and a differentiation from other research fields.
CoRR, 2019

Limitations of Assessing Active Learning Performance at Runtime.
CoRR, 2019

Pose Based Trajectory Forecast of Vulnerable Road Users.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

Trajectory Forecasts with Uncertainties of Vulnerable Road Users by Means of Neural Networks.
Proceedings of the 2019 IEEE Intelligent Vehicles Symposium, 2019

Radar-based Road User Classification and Novelty Detection with Recurrent Neural Network Ensembles.
Proceedings of the 2019 IEEE Intelligent Vehicles Symposium, 2019

A Multi-Stage Clustering Framework for Automotive Radar Data.
Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019

Pose Based Start Intention Detection of Cyclists.
Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019

Combining Self-reported Confidences from Uncertain Annotators to Improve Label Quality.
Proceedings of the International Joint Conference on Neural Networks, 2019

Generative Adversarial Networks for Operational Scenario Planning of Renewable Energy Farms: A Study on Wind and Photovoltaic.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Image Processing, 2019

Influences in Forecast Errors for Wind and Photovoltaic Power: A Study on Machine Learning Models.
Proceedings of the 49. Jahrestagung der Gesellschaft für Informatik, 50 Jahre Gesellschaft für Informatik, 2019

Start Intention Detection of Cyclists using an LSTM Network.
Proceedings of the 49. Jahrestagung der Gesellschaft für Informatik, 50 Jahre Gesellschaft für Informatik - Informatik für Gesellschaft, INFORMATIK 2019, 2019

Using grid supporting flexibility in electricity distribution networks.
Proceedings of the 49. Jahrestagung der Gesellschaft für Informatik, 50 Jahre Gesellschaft für Informatik, 2019

Early Pedestrian Movement Detection Using Smart Devices Based on Human Activity Recognition.
Proceedings of the 49. Jahrestagung der Gesellschaft für Informatik, 50 Jahre Gesellschaft für Informatik - Informatik für Gesellschaft, INFORMATIK 2019, 2019

2018
Cooperative Starting Movement Detection of Cyclists Using Convolutional Neural Networks and a Boosted Stacking Ensemble.
IEEE Trans. Intell. Veh., 2018

Comparing the Effects of Disturbances in Self-adaptive Systems - A Generalised Approach for the Quantification of Robustness.
Trans. Comput. Collect. Intell., 2018

Performing event detection in time series with SwiftEvent: an algorithm with supervised learning of detection criteria.
Pattern Anal. Appl., 2018

Novelty detection with CANDIES: a holistic technique based on probabilistic models.
Int. J. Mach. Learn. Cybern., 2018

Semi-supervised active learning for support vector machines: A novel approach that exploits structure information in data.
Inf. Sci., 2018

Collaborative Interactive Learning.
Inform. Spektrum, 2018

Self-Adaptive Multi-Sensor Activity Recognition Systems Based on Gaussian Mixture Models.
Informatics, 2018

Detecting Intentions of Vulnerable Road Users Based on Collective Intelligence.
CoRR, 2018

Quantifying the Influences on Probabilistic Wind Power Forecasts.
CoRR, 2018

Highly Automated Learning for Improved Active Safety of Vulnerable Road Users.
CoRR, 2018

Hosting capacity of low-voltage grids for distributed generation: Classification by means of machine learning techniques.
Appl. Soft Comput., 2018

Human Pose Estimation in Real Traffic Scenes.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018

Coopetitive Soft Gating Ensemble.
Proceedings of the 2018 IEEE 3rd International Workshops on Foundations and Applications of Self* Systems (FAS*W), 2018

Security Issues in Self-Improving System Integration - Challenges and Solution Strategies.
Proceedings of the 2018 IEEE 3rd International Workshops on Foundations and Applications of Self* Systems (FAS*W), 2018

Aspects of Measuring and Evaluating the Integration Status of a (Sub-)System at Runtime.
Proceedings of the 2018 IEEE 3rd International Workshops on Foundations and Applications of Self* Systems (FAS*W), 2018

Sampling Strategies for Representative Time Series in Load Flow Calculations.
Proceedings of the Data Analytics for Renewable Energy Integration. Technologies, Systems and Society, 2018

Towards Cooperative Self-adapting Activity Recognition.
Proceedings of the 8th International Joint Conference on Pervasive and Embedded Computing and Communication Systems, 2018

Early Start Intention Detection of Cyclists Using Motion History Images and a Deep Residual Network.
Proceedings of the 2018 IEEE Intelligent Vehicles Symposium, 2018

Radar-based Feature Design and Multiclass Classification for Road User Recognition.
Proceedings of the 2018 IEEE Intelligent Vehicles Symposium, 2018

Cooperative Tracking of Cyclists Based on Smart Devices and Infrastructure.
Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018

The Other Human in The Loop - A Pilot Study to Find Selection Strategies for Active Learning.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Active Sorting - An Efficient Training of a Sorting Robot with Active Learning Techniques.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Active Learning With Realistic Data - A Case Study.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Smart Device Stealing and CANDIES.
Proceedings of the Agents and Artificial Intelligence - 10th International Conference, 2018

Hijacked Smart Devices - Methodical Foundations for Autonomous Theft Awareness based on Activity Recognition and Novelty Detection.
Proceedings of the 10th International Conference on Agents and Artificial Intelligence, 2018

Leveraging the Potentials of Dedicated Collaborative Interactive Learning: Conceptual Foundations to Overcome Uncertainty by Human-Machine Collaboration.
Proceedings of the 51st Hawaii International Conference on System Sciences, 2018

Starting Movement Detection of Cyclists Using Smart Devices.
Proceedings of the 5th IEEE International Conference on Data Science and Advanced Analytics, 2018

2017
Organic Computing in the Spotlight.
CoRR, 2017

Self-Adaptation of Activity Recognition Systems to New Sensors.
CoRR, 2017

Probabilistic wind power forecasting: A multi-scheme ensemble technique with gradual coopetitive soft gating.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

Model-predictive planning for autonomous vehicles anticipating intentions of vulnerable road users by artificial neural networks.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

Learning to Learn: Dynamic Runtime Exploitation of Various Knowledge Sources and Machine Learning Paradigms.
Proceedings of the 2nd IEEE International Workshops on Foundations and Applications of Self* Systems, 2017

Challenges of Reliable, Realistic and Comparable Active Learning Evaluation.
Proceedings of the Workshop and Tutorial on Interactive Adaptive Learning co-located with European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2017), 2017

Identifying Representative Load Time Series for Load Flow Calculations.
Proceedings of the Data Analytics for Renewable Energy Integration: Informing the Generation and Distribution of Renewable Energy, 2017

Simulation of Annotators for Active Learning: Uncertain Oracles.
Proceedings of the Workshop and Tutorial on Interactive Adaptive Learning co-located with European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2017), 2017

Cyclists' starting behavior at intersections.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2017

Cooperative starting intention detection of cyclists based on smart devices and infrastructure.
Proceedings of the 20th IEEE International Conference on Intelligent Transportation Systems, 2017

On Methodological and Technological Challenges for Proactive Health Management in Smart Homes.
Proceedings of the Informatics Empowers Healthcare Transformation, 2017

Dealing with Class Imbalance the Scalable Way: Evaluation of Various Techniques Based on Classification Grade and Computational Complexity.
Proceedings of the 2017 IEEE International Conference on Data Mining Workshops, 2017

Measuring Self-organisation at Runtime - A Quantification Method based on Divergence Measures.
Proceedings of the 9th International Conference on Agents and Artificial Intelligence, 2017

Quantitative Robustness - A Generalised Approach to Compare the Impact of Disturbances in Self-organising Systems.
Proceedings of the 9th International Conference on Agents and Artificial Intelligence, 2017

2016
Towards automation of knowledge understanding: An approach for probabilistic generative classifiers.
Inf. Sci., 2016

Variational Bayesian Inference for Hidden Markov Models With Multivariate Gaussian Output Distributions.
CoRR, 2016

Detecting Novel Processes with CANDIES - An Holistic Novelty Detection Technique based on Probabilistic Models.
CoRR, 2016

Design and optimization of an autonomous feature selection pipeline for high dimensional, heterogeneous feature spaces.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

A review of deterministic error scores and normalization techniques for power forecasting algorithms.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

An analog ensemble-based similarity search technique for solar power forecasting.
Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics, 2016

Deep Learning for solar power forecasting - An approach using AutoEncoder and LSTM Neural Networks.
Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics, 2016

Towards Autonomous Self-Tests at Runtime.
Proceedings of the 2016 IEEE 1st International Workshops on Foundations and Applications of Self* Systems (FAS*W), 2016

Coping with variability in motion based activity recognition.
Proceedings of the 3rd International Workshop on Sensor-based Activity Recognition and Interaction, 2016

Trajectory prediction of cyclists using a physical model and an artificial neural network.
Proceedings of the 2016 IEEE Intelligent Vehicles Symposium, 2016

Forecasting wind power - an ensemble technique with gradual coopetitive weighting based on weather situation.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Resp-kNN: A probabilistic k-nearest neighbor classifier for sparsely labeled data.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Combination of uncertain ordinal expert statements: The combination rule EIDMR and its application to low-voltage grid classification with SVM.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Correlation of Ontology-Based Semantic Similarity and Human Judgement for a Domain Specific Fashion Ontology.
Proceedings of the Web Engineering - 16th International Conference, 2016

Towards Self-Improving Activity Recognition Systems Based on Probabilistic, Generative Models.
Proceedings of the 2016 IEEE International Conference on Autonomic Computing, 2016

Lifelong Learning and Collaboration of Smart Technical Systems in Open-Ended Environments - Opportunistic Collaborative Interactive Learning.
Proceedings of the 2016 IEEE International Conference on Autonomic Computing, 2016

Any problems? a wearable sensor-based platform for representational learning-analytics.
Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2016

2015
The responsibility weighted Mahalanobis kernel for semi-supervised training of support vector machines for classification.
Inf. Sci., 2015

Transductive active learning - A new semi-supervised learning approach based on iteratively refined generative models to capture structure in data.
Inf. Sci., 2015

A New Vision of Collaborative Active Learning.
CoRR, 2015

A Toolchain for Context Recognition: Automating the Investigation of a Multitude of Parameter Sets.
Proceedings of the IEEE 82nd Vehicular Technology Conference, 2015

Fast Feature Extraction for Time Series Analysis Using Least-Squares Approximations with Orthogonal Basis Functions.
Proceedings of the 22nd International Symposium on Temporal Representation and Reasoning, 2015

Using Ontology-Based Similarity Measures to Find Training Data for Problems with Sparse Data.
Proceedings of the 2015 IEEE International Conference on Systems, 2015

A Mutual Influence Detection Algorithm for Systems with Local Performance Measurement.
Proceedings of the 2015 IEEE 9th International Conference on Self-Adaptive and Self-Organizing Systems, 2015

A building block for awareness in technical systems: Online novelty detection and reaction with an application in intrusion detection.
Proceedings of the IEEE 7th International Conference on Awareness Science and Technology, 2015

2014
Knowledge Fusion for Probabilistic Generative Classifiers with Data Mining Applications.
IEEE Trans. Knowl. Data Eng., 2014

On general purpose time series similarity measures and their use as kernel functions in support vector machines.
Inf. Sci., 2014

Interwoven Systems.
Inform. Spektrum, 2014

"Know Thyself" - Computational Self-Reflection in Intelligent Technical Systems.
Proceedings of the Eighth IEEE International Conference on Self-Adaptive and Self-Organizing Systems Workshops, 2014

Self-Adapting Multi-sensor Systems: A Concept for Self-Improvement and Self-Healing Techniques.
Proceedings of the Eighth IEEE International Conference on Self-Adaptive and Self-Organizing Systems Workshops, 2014

Dealing with human variability in motion based, wearable activity recognition.
Proceedings of the 2014 IEEE International Conference on Pervasive Computing and Communication Workshops, 2014

Novel Criteria to Measure Performance of Time Series Segmentation Techniques.
Proceedings of the 16th LWA Workshops: KDML, 2014

Analysis on termination of pedestrians' gait at urban intersections.
Proceedings of the 17th International IEEE Conference on Intelligent Transportation Systems, 2014

Pedestrian's Trajectory Forecast in Public Traffic with Artificial Neural Networks.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014

Location based learning of user behavior for proactive recommender systems in car comfort functions.
Proceedings of the 44. Jahrestagung der Gesellschaft für Informatik, Big Data, 2014

Temporal data analytics based on eigenmotif and shape space representations of time series.
Proceedings of the IEEE China Summit & International Conference on Signal and Information Processing, 2014

Engineering and Mastering Interwoven Systems.
Proceedings of the ARCS 2014, 2014

2013
Classification of Electromyographic Signals: Comparing Evolvable Hardware to Conventional Classifiers.
IEEE Trans. Evol. Comput., 2013

Let us know your decision: Pool-based active training of a generative classifier with the selection strategy 4DS.
Inf. Sci., 2013

Blazing Fast Time Series Segmentation Based on Update Techniques for Polynomial Approximations.
Proceedings of the 13th IEEE International Conference on Data Mining Workshops, 2013

A Concept for Securing Cyber-Physical Systems with Organic Computing Techniques.
Proceedings of the ARCS 2013, 2013

2012
Techniques for knowledge acquisition in dynamically changing environments.
ACM Trans. Auton. Adapt. Syst., 2012

Handedness tests for preschool children: A novel approach based on graphics tablets and support vector machines.
Appl. Soft Comput., 2012

Learning from others: Exchange of classification rules in intelligent distributed systems.
Artif. Intell., 2012

Forecasting exchange rates with ensemble neural networks and ensemble K-PLS: A case study for the US Dollar per Indian Rupee.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

2011
SwiftRule: Mining Comprehensible Classification Rules for Time Series Analysis.
IEEE Trans. Knowl. Data Eng., 2011

Online Intrusion Alert Aggregation with Generative Data Stream Modeling.
IEEE Trans. Dependable Secur. Comput., 2011

In Your Interest - Objective Interestingness Measures for a Generative Classifier.
Proceedings of the ICAART 2011 - Proceedings of the 3rd International Conference on Agents and Artificial Intelligence, Volume 1, 2011

Active classifier training with the 3DS strategy.
Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2011

Collaborative Learning by Knowledge Exchange.
Proceedings of the Organic Computing - A Paradigm Shift for Complex Systems, 2011

Divergence Measures as a Generalised Approach to Quantitative Emergence.
Proceedings of the Organic Computing - A Paradigm Shift for Complex Systems, 2011

2010
Online Signature Verification With Support Vector Machines Based on LCSS Kernel Functions.
IEEE Trans. Syst. Man Cybern. Part B, 2010

Online Segmentation of Time Series Based on Polynomial Least-Squares Approximations.
IEEE Trans. Pattern Anal. Mach. Intell., 2010

So near and yet so far: New insight into properties of some well-known classifier paradigms.
Inf. Sci., 2010

On the versatility of radial basis function neural networks: A case study in the field of intrusion detection.
Inf. Sci., 2010

Temporal data mining using shape space representations of time series.
Neurocomputing, 2010

Quantitative Emergence -- A Refined Approach Based on Divergence Measures.
Proceedings of the Fourth IEEE International Conference on Self-Adaptive and Self-Organizing Systems, 2010

All for one or one for all? Combining heterogeneous features for activity spotting.
Proceedings of the Eigth Annual IEEE International Conference on Pervasive Computing and Communications, 2010

Novelty-Aware Attack Recognition - Intrusion Detection with Organic Computing Techniques.
Proceedings of the Distributed, Parallel and Biologically Inspired Systems, 2010

2009
Processing Short-Term and Long-Term Information With a Combination of Polynomial Approximation Techniques and Time-Delay Neural Networks.
IEEE Trans. Neural Networks, 2009

On-line motif detection in time series with SwiftMotif.
Pattern Recognit., 2009

Periodical switching between related goals for improving evolvability to a fixed goal in multi-objective problems.
Inf. Sci., 2009

Technical data mining with evolutionary radial basis function classifiers.
Appl. Soft Comput., 2009

Lower Bound Bayesian Networks - An Efficient Inference of Lower Bounds on Probability Distributions in Bayesian Networks.
Proceedings of the UAI 2009, 2009

Generating Shifting Workloads to Benchmark Adaptability in Relational Database Systems.
Proceedings of the Performance Evaluation and Benchmarking, 2009

Training of radial basis function classifiers with resilient propagation and variational Bayesian inference.
Proceedings of the International Joint Conference on Neural Networks, 2009

Learning by Teaching versus Learning by Doing: Knowledge Exchange in Organic Agent Systems.
Proceedings of the IEEE Symposium on Intelligent Agents, IA 2009, part of the IEEE Symposium Series on Computational Intelligence 2009, Nashville, TN, USA, March 30, 2009, 2009

2008
Selected papers of the ARCS06 conference: an introduction.
Pers. Ubiquitous Comput., 2008

Comparing Evolvable Hardware to Conventional Classifiers for Electromyographic Prosthetic Hand Control.
Proceedings of the NASA/ESA Conference on Adaptive Hardware and Systems, 2008

Controlled Emergence and Self-Organization.
Proceedings of the Organic Computing, 2008

2007
Fusion of soft and hard computing: multi-dimensional categorization of computationally intelligent hybrid systems.
Neural Comput. Appl., 2007

Editorial.
J. Syst. Archit., 2007

Cooperative Keep-Alives: An Efficient Outage Detection Algorithm for P2P Overlay Networks.
Proceedings of the Seventh IEEE International Conference on Peer-to-Peer Computing (P2P 2007), 2007

A Novelty-Driven Approach to Intrusion Alert Correlation Based on Distributed Hash Tables.
Proceedings of the 12th IEEE Symposium on Computers and Communications (ISCC 2007), 2007

A Source Routing Solution to Non-Transitive Connectivity Problems in Distributed Hash Tables.
Proceedings of the 12th IEEE Symposium on Computers and Communications (ISCC 2007), 2007

Basic Technologies for Knowledge Transfer in Intelligent Systems.
Proceedings of the First IEEE Symposium on Artificial Life, 2007

Goodness of Fit: Measures for a Fuzzy Classifier.
Proceedings of the IEEE Symposium on Foundations of Computational Intelligence, 2007

Hazard Situation Prediction Using Spatially and Temporally Distributed Vehicle Sensor Information.
Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2007

Collaborative Knowledge Discovery & Data Mining: From Knowledge to Experience.
Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2007

Towards an Automated Analysis of Neuroleptics' Impact on Human Hand Motor Skills.
Proceedings of the 2007 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2007

Functional Knowledge Exchange Within an Intelligent Distributed System.
Proceedings of the Architecture of Computing Systems, 2007

2006
Online Signature Verification with New Time Series Kernels for Support Vector Machines.
Proceedings of the Advances in Biometrics, International Conference, 2006

Emergence in Organic Computing Systems: Discussion of a Controversial Concept.
Proceedings of the Autonomic and Trusted Computing, Third International Conference, 2006

2005
Evolutionary optimization of radial basis function classifiers for data mining applications.
IEEE Trans. Syst. Man Cybern. Part B, 2005

2004
Indirect On-Line Tool Wear Monitoring.
Proceedings of the Computationally Intelligent Hybrid Systems, 2004

2003
Architecture optimization of radial basis function networks with a combination of hard- and soft-computing techniques.
Proceedings of the IEEE International Conference on Systems, 2003

Rule extraction from neural networks for intrusion detection in computer networks.
Proceedings of the IEEE International Conference on Systems, 2003

Processing short-term and long-term information with a combination of hardand soft-computing techniques.
Proceedings of the IEEE International Conference on Systems, 2003

Calibration of self-organizing maps for classification tasks.
Proceedings of the IEEE International Conference on Systems, 2003

Evolutionary Optimisation of RBF Network Architectures in a Direct Marketing Application.
Proceedings of the Artificial Neural Networks and Neural Information Processing, 2003

Intrusion Detection in Computer Networks with Neural and Fuzzy Classifiers.
Proceedings of the Artificial Neural Networks and Neural Information Processing, 2003

Fast and Efficient Training of RBF Networks.
Proceedings of the Artificial Neural Networks and Neural Information Processing, 2003

2002
Fusion of hard and soft computing techniques in indirect, online tool wear monitoring.
IEEE Trans. Syst. Man Cybern. Part C, 2002

Towards a Specification Technique for Component-Based Measurement and Control Software for Embedded Systems.
Proceedings of the 28th EUROMICRO Conference 2002, 4-6 September 2002, Dortmund, Germany, 2002

2000
Recurrent and Non-Recurrent Dynamic Network Paradigms: A Case Study.
Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000

1999
Multisensorfusion bei der Verarbeitung mikrosystembasierter Signale.
Informationstechnik Tech. Inform., 1999

Signalinterpretation mit Neuronalen Netzen unter Nutzung von modellbasiertem Nebenwissen am Beispiel der Verschleißüberwachung von Werkzeugen in CNC-Drehmaschinen.
Proceedings of the Ausgezeichnete Informatikdissertationen 1999, 1999

Signalinterpretation mit neuronalen Netzen unter Nutzung von modellbasiertem Nebenwissen am Beispiel der Verschleißüberwachung von Werkzeugen in CNC-Drehmaschinen.
PhD thesis, 1999

1998
On-line tool wear monitoring in turning using neural networks.
Neural Comput. Appl., 1998

Online tool wear monitoring in turning using time-delay neural networks.
Proceedings of the 1998 IEEE International Conference on Acoustics, 1998

A framework for the graphical specification and execution of complex signal processing applications.
Proceedings of the 1998 IEEE International Conference on Acoustics, 1998

1997
Monitoring the wear of cutting tools in CNC-lathes with artificial neural networks.
Proceedings of the 1997 IEEE International Conference on Acoustics, 1997

The FFT butterfly operation in 4 processor cycles on a 24 bit fixed-point DSP with a pipelined multiplier.
Proceedings of the 1997 IEEE International Conference on Acoustics, 1997

Classifying the Wear of Turning Tools with Neural Networks.
Proceedings of the Artificial Neural Networks, 1997


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