Bernhard Sick
Orcid: 0000-0001-9467-656XAffiliations:
- University of Kassel, Germany
According to our database1,
Bernhard Sick
authored at least 252 papers
between 1997 and 2024.
Collaborative distances:
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Bibliography
2024
CoRR, 2024
2023
Pose and Semantic Map Based Probabilistic Forecast of Vulnerable Road Users' Trajectories.
IEEE Trans. Intell. Veh., March, 2023
Sustain. Comput. Informatics Syst., January, 2023
Enhancing Multi-Objective Optimization through Machine Learning-Supported Multiphysics Simulation.
CoRR, 2023
CoRR, 2023
Unraveling the Complexity of Splitting Sequential Data: Tackling Challenges in Video and Time Series Analysis.
CoRR, 2023
CoRR, 2023
CoRR, 2023
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023
Proceedings of the IEEE Intelligent Vehicles Symposium, 2023
Proceedings of the IEEE Intelligent Vehicles Symposium, 2023
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023
Towards Few-Shot Time Series Anomaly Detection with Temporal Attention and Dynamic Thresholding.
Proceedings of the International Conference on Machine Learning and Applications, 2023
Proceedings of the International Conference on Machine Learning and Applications, 2023
What Does Really Count? Estimating Relevance of Corner Cases for Semantic Segmentation in Automated Driving.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
Proceedings of the 11th International Conference on Control, Mechatronics and Automation, 2023
Proceedings of the Workshop on Interactive Adaptive Learning co-located with European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2023), 2023
Active Learning with Fast Model Updates and Class-Balanced Selection for Imbalanced Datasets.
Proceedings of the Workshop on Interactive Adaptive Learning co-located with European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2023), 2023
Proceedings of the Workshop on Interactive Adaptive Learning co-located with European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2023), 2023
Towards Enhancing Deep Active Learning with Weak Supervision and Constrained Clustering.
Proceedings of the Workshop on Interactive Adaptive Learning co-located with European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2023), 2023
Proceedings of the Discovery Science - 26th International Conference, 2023
Proceedings of the 2023 6th International Conference on Computational Intelligence and Intelligent Systems, 2023
Proceedings of the IEEE International Conference on Autonomic Computing and Self-Organizing Systems, 2023
2022
Stream-based active learning for sliding windows under the influence of verification latency.
Mach. Learn., 2022
Mach. Learn., 2022
Proactive hybrid learning and optimisation in self-adaptive systems: The swarm-fleet infrastructure scenario.
Inf. Softw. Technol., 2022
CoRR, 2022
Model Selection, Adaptation, and Combination for Deep Transfer Learning through Neural Networks in Renewable Energies.
CoRR, 2022
Design of Explainability Module with Experts in the Loop for Visualization and Dynamic Adjustment of Continual Learning.
CoRR, 2022
Space, Time, and Interaction: A Taxonomy of Corner Cases in Trajectory Datasets for Automated Driving.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022
Proceedings of the Workshop on Interactive Adaptive Learning co-located with European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2022), 2022
Enhancing Active Learning with Weak Supervision and Transfer Learning by Leveraging Information and Knowledge Sources.
Proceedings of the Workshop on Interactive Adaptive Learning co-located with European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2022), 2022
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022
A Concept for Automated Polarized Web Content Annotation based on Multimodal Active Learning.
Proceedings of the Workshop on Interactive Adaptive Learning co-located with European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2022), 2022
A Holistic View on Probabilistic Trajectory Forecasting - Case Study. Cyclist Intention Detection.
Proceedings of the 2022 IEEE Intelligent Vehicles Symposium, 2022
Unified Autoencoder with Task Embeddings for Multi-Task Learning in Renewable Power Forecasting.
Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022
Generating Synthetic Time Series for Machine-Learning-Empowered Monitoring of Electric Motor Test Benches.
Proceedings of the 9th IEEE International Conference on Data Science and Advanced Analytics, 2022
Proceedings of the Architecture of Computing Systems - 35th International Conference, 2022
Proceedings of the IEEE International Conference on Autonomic Computing and Self-Organizing Systems Companion, 2022
2021
Mach. Learn., 2021
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
A Survey on Cost Types, Interaction Schemes, and Annotator Performance Models in Selection Algorithms for Active Learning in Classification.
IEEE Access, 2021
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
Proceedings of the Workshop on Interactive Adaptive Learning (IAL 2021) co-located with the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2021), 2021
A Concept for Highly Automated Pre-Labeling via Cross-Domain Label Transfer for Perception in Autonomous Driving.
Proceedings of the Workshop on Interactive Adaptive Learning (IAL 2021) co-located with the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2021), 2021
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
Proceedings of the IEEE International Smart Cities Conference, 2021
Proceedings of the IEEE International Smart Cities Conference, 2021
Proceedings of the IEEE International Smart Cities Conference, 2021
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
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
Proceedings of the IEEE International Conference on Cyber Security and Resilience, 2021
Proceedings of the IEEE International Conference on Autonomic Computing and Self-Organizing Systems, 2021
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
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
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
Proceedings of the 25th International Conference on Pattern Recognition, 2020
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
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
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
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
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
Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019
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
Proceedings of the 49. Jahrestagung der Gesellschaft für Informatik, 50 Jahre Gesellschaft für Informatik - Informatik für Gesellschaft, INFORMATIK 2019, 2019
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
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
Self-Adaptive Multi-Sensor Activity Recognition Systems Based on Gaussian Mixture Models.
Informatics, 2018
CoRR, 2018
CoRR, 2018
Hosting capacity of low-voltage grids for distributed generation: Classification by means of machine learning techniques.
Appl. Soft Comput., 2018
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018
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
Proceedings of the Data Analytics for Renewable Energy Integration. Technologies, Systems and Society, 2018
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
Proceedings of the 2018 IEEE Intelligent Vehicles Symposium, 2018
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
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
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
Proceedings of the 5th IEEE International Conference on Data Science and Advanced Analytics, 2018
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
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
Proceedings of the Data Analytics for Renewable Energy Integration: Informing the Generation and Distribution of Renewable Energy, 2017
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
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
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
Proceedings of the 2016 IEEE 1st International Workshops on Foundations and Applications of Self* Systems (FAS*W), 2016
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
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 and Proceedings of the 2016 ACM International Symposium on Wearable Computers, 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 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
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
Proceedings of the 2014 IEEE International Conference on Pervasive Computing and Communication Workshops, 2014
Proceedings of the 16th LWA Workshops: KDML, 2014
Proceedings of the 17th International IEEE Conference on Intelligent Transportation Systems, 2014
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
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
Proceedings of the ARCS 2013, 2013
2012
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
IEEE Trans. Knowl. Data Eng., 2011
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
Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2011
Proceedings of the Organic Computing - A Paradigm Shift for Complex Systems, 2011
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
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
Neurocomputing, 2010
Proceedings of the Fourth IEEE International Conference on Self-Adaptive and Self-Organizing Systems, 2010
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
Periodical switching between related goals for improving evolvability to a fixed goal in multi-objective problems.
Inf. Sci., 2009
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
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
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
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
Proceedings of the First IEEE Symposium on Artificial Life, 2007
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
Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2007
Proceedings of the 2007 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2007
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
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
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
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
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
Proceedings of the Artificial Neural Networks and Neural Information Processing, 2003
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
Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000
1999
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
Neural Comput. Appl., 1998
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
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
Proceedings of the Artificial Neural Networks, 1997