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    Author information
    First name: Bernhard
    Last name: Sick
    DBLP: 21/4593
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    Conference paper
    David Bannach, Martin Jänicke, Vitor F. Rey, Sven Tomforde, Bernhard Sick, Paul Lukowicz.
    Self-Adaptation of Activity Recognition Systems to New Sensors.
    CoRR 2017, Volume 0 (0) 2017
    Journal article
    Sven Tomforde, Bernhard Sick, Christian Müller-Schloer.
    Organic Computing in the Spotlight.
    CoRR 2017, Volume 0 (0) 2017
    Conference paper
    Jan Kantert, Sven Tomforde, Christian Müller-Schloer, Sarah Edenhofer, Bernhard Sick.
    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, ICAART 2017, Volume 1, Porto, Portugal, February 24-26, 2017. 2017 (0) 2017
    Conference paper
    Sven Tomforde, Jan Kantert, Bernhard Sick.
    Measuring Self-organisation at Runtime - A Quantification Method based on Divergence Measures.
    Proceedings of the 9th International Conference on Agents and Artificial Intelligence, ICAART 2017, Volume 1, Porto, Portugal, February 24-26, 2017. 2017 (0) 2017
    Conference paper
    Klaus-Hendrik Wolf, Tobias Dehling, Reinhold Haux, Bernhard Sick, Ali Sunyaev, Sven Tomforde.
    On Methodological and Technological Challenges for Proactive Health Management in Smart Homes.
    Informatics Empowers Healthcare Transformation, [ICIMTH 2017, Athens, Greece, 7-9 July 2017]. 2017 (0) 2017
    Conference paper
    Andreas Hubert, Stefan Zernetsch, Konrad Doll, Bernhard Sick.
    Cyclists' starting behavior at intersections.
    IEEE Intelligent Vehicles Symposium, IV 2017, Los Angeles, CA, USA, June 11-14, 2017 2017 (0) 2017
    Conference paper
    Adrian Calma, Bernhard Sick.
    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), Skopje, Macedonia, September 18, 2017. 2017 (0) 2017
    Conference paper
    Daniel Kottke, Adrian Calma, Denis Huseljic, Georg Krempl, Bernhard Sick.
    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), Skopje, Macedonia, September 18, 2017. 2017 (0) 2017
    Conference paper
    Adrian Calma, Daniel Kottke, Bernhard Sick, Sven Tomforde.
    Learning to Learn: Dynamic Runtime Exploitation of Various Knowledge Sources and Machine Learning Paradigms.
    2nd IEEE International Workshops on Foundations and Applications of Self* Systems, FAS*W@SASO/ICCAC 2017, Tucson, AZ, USA, September 18-22, 2017 2017 (0) 2017
    Conference paper
    Janosch Henze, Tanja Kneiske, Martin Braun, Bernhard Sick.
    Identifying Representative Load Time Series for Load Flow Calculations.
    Data Analytics for Renewable Energy Integration: Informing the Generation and Distribution of Renewable Energy - 5th ECML PKDD Workshop, DARE 2017, Skopje, Macedonia, September 22, 2017, Revised Selected Papers 2017 (0) 2017
    Conference paper
    Edgar Kalkowski, Bernhard Sick.
    Correlation of Ontology-Based Semantic Similarity and Human Judgement for a Domain Specific Fashion Ontology.
    Web Engineering - 16th International Conference, ICWE 2016, Lugano, Switzerland, June 6-9, 2016. Proceedings 2016 (0) 2016
    Journal article
    Christian Gruhl, Bernhard Sick.
    Variational Bayesian Inference for Hidden Markov Models With Multivariate Gaussian Output Distributions.
    CoRR 2016, Volume 0 (0) 2016
    Conference paper
    Christian Gruhl, Bernhard Sick.
    Detecting Novel Processes with CANDIES - An Holistic Novelty Detection Technique based on Probabilistic Models.
    CoRR 2016, Volume 0 (0) 2016
    Conference paper
    Dominik Fisch, Christian Gruhl, Edgar Kalkowski, Bernhard Sick, Seppo J. Ovaska.
    Towards Automation of Knowledge Understanding: An Approach for Probabilistic Generative Classifiers.
    CoRR 2016, Volume 0 (0) 2016
    Conference paper
    Stefan Zernetsch, Sascha Kohnen, Michael Goldhammer, Konrad Doll, Bernhard Sick.
    Trajectory prediction of cyclists using a physical model and an artificial neural network.
    2016 IEEE Intelligent Vehicles Symposium, IV 2016, Gotenburg, Sweden, June 19-22, 2016 2016 (0) 2016
    Conference paper
    Gerald Pirkl, Peter Hevesi, Paul Lukowicz, Pascal Klein, Carina Heisel, Sebastian Gröber, Jochen Kuhn, Bernhard Sick.
    Any problems? a wearable sensor-based platform for representational learning-analytics.
    Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing, UbiComp Adjunct 2016, Heidelberg, Germany, September 12-16, 2016 2016 (0) 2016
    Conference paper
    Gernot Bahle, Adrian Calma, Jan Marco Leimeister, Paul Lukowicz, Sarah Oeste-Reiß, Tobias Reitmaier, Albrecht Schmidt 0001, Bernhard Sick, Gerd Stumme, Katharina Anna Zweig.
    Lifelong Learning and Collaboration of Smart Technical Systems in Open-Ended Environments - Opportunistic Collaborative Interactive Learning.
    2016 IEEE International Conference on Autonomic Computing, ICAC 2016, Wuerzburg, Germany, July 17-22, 2016 2016 (0) 2016
    Conference paper
    Martin Jänicke, Sven Tomforde, Bernhard Sick.
    Towards Self-Improving Activity Recognition Systems Based on Probabilistic, Generative Models.
    2016 IEEE International Conference on Autonomic Computing, ICAC 2016, Wuerzburg, Germany, July 17-22, 2016 2016 (0) 2016
    Conference paper
    Tobias Reitmaier, Adrian Calma, Bernhard Sick.
    Semi-Supervised Active Learning for Support Vector Machines: A Novel Approach that Exploits Structure Information in Data.
    CoRR 2016, Volume 0 (0) 2016
    Conference paper
    Sebastian Breker, Bernhard Sick.
    Combination of uncertain ordinal expert statements: The combination rule EIDMR and its application to low-voltage grid classification with SVM.
    2016 International Joint Conference on Neural Networks, IJCNN 2016, Vancouver, BC, Canada, July 24-29, 2016 2016 (0) 2016
    Conference paper
    Adrian Calma, Tobias Reitmaier, Bernhard Sick.
    Resp-kNN: A probabilistic k-nearest neighbor classifier for sparsely labeled data.
    2016 International Joint Conference on Neural Networks, IJCNN 2016, Vancouver, BC, Canada, July 24-29, 2016 2016 (0) 2016
    Conference paper
    Andre Gensler, Bernhard Sick.
    Forecasting wind power - an ensemble technique with gradual coopetitive weighting based on weather situation.
    2016 International Joint Conference on Neural Networks, IJCNN 2016, Vancouver, BC, Canada, July 24-29, 2016 2016 (0) 2016
    Conference paper
    Dominik Fisch, Christian Gruhl, Edgar Kalkowski, Bernhard Sick, Seppo J. Ovaska.
    Towards automation of knowledge understanding: An approach for probabilistic generative classifiers.
    Inf. Sci. 2016, Volume 370 (0) 2016
    Conference paper
    Andre Gensler, Janosch Henze, Bernhard Sick, Nils Raabe.
    Deep Learning for solar power forecasting - An approach using AutoEncoder and LSTM Neural Networks.
    2016 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2016, Budapest, Hungary, October 9-12, 2016 2016 (0) 2016
    Conference paper
    Andre Gensler, Bernhard Sick, Vitali Pankraz.
    An analog ensemble-based similarity search technique for solar power forecasting.
    2016 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2016, Budapest, Hungary, October 9-12, 2016 2016 (0) 2016
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