Bernhard Sick

Overview

Best Publications

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

  Andre Gensler;Janosch Henze;Bernhard Sick;Nils Raabe

  639
  Citations

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

  Bernhard Sick

  605
  Citations

• Evolutionary optimization of radial basis function classifiers for data mining applications

  O. Buchtala;M. Klimek;B. Sick

  175
  Citations

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

  Christian Gruber;Thiemo Gruber;Sebastian Krinninger;Bernhard Sick

  171
  Citations

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

  E Fuchs;T Gruber;J Nitschke;B Sick

  157
  Citations

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

  Nicolas Scheiner;Florian Kraus;Fangyin Wei;Buu Phan

  97
  Citations

• Engineering and Mastering Interwoven Systems

  Sven Tomforde;Jörg Hähner;Hella Seebach;Wolfgang Reif

  94
  Citations

• Online Intrusion Alert Aggregation with Generative Data Stream Modeling

  A Hofmann;B Sick

  91
  Citations

• On-line motif detection in time series with SwiftMotif

  Erich Fuchs;Thiemo Gruber;Jiri Nitschke;Bernhard Sick

  75
  Citations

• Feature selection for intrusion detection: an evolutionary wrapper approach

  A. Hofmann;T. Horeis;B. Sick

  74
  Citations

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

  Stefan Zernetsch;Sascha Kohnen;Michael Goldhammer;Konrad Doll

  73
  Citations

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

  Dominik Fisch;Alexander Hofmann;Bernhard Sick

  71
  Citations

• Evolutionary optimization of radial basis function networks for intrusion detection

  A. Hofmann;B. Sick

  71
  Citations

• Wave-front reconstruction with a Shack–Hartmann sensor with an iterative spline fitting method

  Sascha Groening;Bernhard Sick;Klaus Donner;Johannes Pfund

  66
  Citations

• Quantitative Emergence -- A Refined Approach Based on Divergence Measures

  Dominik Fisch;Martin Janicke;Bernhard Sick;Christian Muller-Schloer

  59
  Citations

• Temporal data mining using shape space representations of time series

  Erich Fuchs;Thiemo Gruber;Helmuth Pree;Bernhard Sick

  58
  Citations

• Object detection for automotive radar point clouds – a comparison

  Nicolas Scheiner;Florian Kraus;Nils Appenrodt;Jürgen Dickmann

  57
  Citations

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

  Michael Goldhammer;Sebastian Kohler;Stefan Zernetsch;Konrad Doll

  51
  Citations

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

  Tobias Reitmaier;Adrian Calma;Bernhard Sick

  44
  Citations

• Description of Corner Cases in Automated Driving: Goals and Challenges

  Daniel Bogdoll;Jasmin Breitenstein;Florian Heidecker;Maarten Bieshaar

  39
  Citations

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

  Michael Goldhammer;Sebastian Kohler;Konrad Doll;Bernhard Sick

  35
  Citations

• SwiftRule: Mining Comprehensible Classification Rules for Time Series Analysis

  Dominik Fisch;T Gruber;B Sick

  35
  Citations

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

  Tobias Reitmaier;Bernhard Sick

  32
  Citations

• Signature Verification with Dynamic RBF Networks and Time Series Motifs

  Christian Gruber;Michael Coduro;Bernhard Sick

  28
  Citations