Barbara Hammer


Ontology type: schema:Person     


Person Info

NAME

Barbara

SURNAME

Hammer

Publications in SciGraph latest 50 shown

  • 2022-09-15 SAM-kNN Regressor for Online Learning in Water Distribution Networks in ARTIFICIAL NEURAL NETWORKS AND MACHINE LEARNING – ICANN 2022
  • 2022-09-07 Taking Care of Our Drinking Water: Dealing with Sensor Faults in Water Distribution Networks in ARTIFICIAL NEURAL NETWORKS AND MACHINE LEARNING – ICANN 2022
  • 2022-09-07 Stream-Based Active Learning with Verification Latency in Non-stationary Environments in ARTIFICIAL NEURAL NETWORKS AND MACHINE LEARNING – ICANN 2022
  • 2022-09-07 Feature Selection for Trustworthy Regression Using Higher Moments in ARTIFICIAL NEURAL NETWORKS AND MACHINE LEARNING – ICANN 2022
  • 2022-09-07 Reject Options for Incremental Regression Scenarios in ARTIFICIAL NEURAL NETWORKS AND MACHINE LEARNING – ICANN 2022
  • 2022-07-12 Agnostic Explanation of Model Change based on Feature Importance in KI - KÜNSTLICHE INTELLIGENZ
  • 2022-05-04 Contrasting Explanations for Understanding and Regularizing Model Adaptations in NEURAL PROCESSING LETTERS
  • 2022-04-07 Suitability of Different Metric Choices for Concept Drift Detection in ADVANCES IN INTELLIGENT DATA ANALYSIS XX
  • 2021-11-23 Drift Detection in Text Data with Document Embeddings in INTELLIGENT DATA ENGINEERING AND AUTOMATED LEARNING – IDEAL 2021
  • 2021-11-23 AutoML Technologies for the Identification of Sparse Models in INTELLIGENT DATA ENGINEERING AND AUTOMATED LEARNING – IDEAL 2021
  • 2021-09-10 Estimating the Electrical Power Output of Industrial Devices with End-to-End Time-Series Classification in the Presence of Label Noise in MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES. RESEARCH TRACK
  • 2021-08-21 Contrastive Explanations for Explaining Model Adaptations in ADVANCES IN COMPUTATIONAL INTELLIGENCE
  • 2021-04-27 Supervised learning in the presence of concept drift: a modelling framework in NEURAL COMPUTING AND APPLICATIONS
  • 2020-10-14 Explaining Concept Drift by Mean of Direction in ARTIFICIAL NEURAL NETWORKS AND MACHINE LEARNING – ICANN 2020
  • 2020-10-14 Convex Density Constraints for Computing Plausible Counterfactual Explanations in ARTIFICIAL NEURAL NETWORKS AND MACHINE LEARNING – ICANN 2020
  • 2020-10-14 Balanced SAM-kNN: Online Learning with Heterogeneous Drift and Imbalanced Data in ARTIFICIAL NEURAL NETWORKS AND MACHINE LEARNING – ICANN 2020
  • 2020-05-16 Deep-Aligned Convolutional Neural Network for Skeleton-Based Action Recognition and Segmentation in DATA SCIENCE AND ENGINEERING
  • 2020-04-30 Interpretable Discriminative Dimensionality Reduction and Feature Selection on the Manifold in MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES
  • 2020-04-22 Adversarial Attacks Hidden in Plain Sight in ADVANCES IN INTELLIGENT DATA ANALYSIS XVIII
  • 2020-03-28 Adversarial Robustness Curves in MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES
  • 2019-09-09 Recovering Localized Adversarial Attacks in ARTIFICIAL NEURAL NETWORKS AND MACHINE LEARNING – ICANN 2019: THEORETICAL NEURAL COMPUTATION
  • 2019-04-28 Prototype-Based Classifiers in the Presence of Concept Drift: A Modelling Framework in ADVANCES IN SELF-ORGANIZING MAPS, LEARNING VECTOR QUANTIZATION, CLUSTERING AND DATA VISUALIZATION
  • 2019-01-05 Time integration and reject options for probabilistic output of pairwise LVQ in NEURAL COMPUTING AND APPLICATIONS
  • 2018-12-01 Maschinelles Lernen in technischen Systemen in STEIGERUNG DER INTELLIGENZ MECHATRONISCHER SYSTEME
  • 2018-11-09 Inferring Temporal Structure from Predictability in Bumblebee Learning Flight in INTELLIGENT DATA ENGINEERING AND AUTOMATED LEARNING – IDEAL 2018
  • 2018-10-05 Non-negative Local Sparse Coding for Subspace Clustering in ADVANCES IN INTELLIGENT DATA ANALYSIS XVII
  • 2018-09-27 Mitigating Concept Drift via Rejection in ARTIFICIAL NEURAL NETWORKS AND MACHINE LEARNING – ICANN 2018
  • 2017-12-01 Tackling heterogeneous concept drift with the Self-Adjusting Memory (SAM) in KNOWLEDGE AND INFORMATION SYSTEMS
  • 2017-08-11 Time Series Prediction for Graphs in Kernel and Dissimilarity Spaces in NEURAL PROCESSING LETTERS
  • 2017-05-30 Echo State Networks as Novel Approach for Low-Cost Myoelectric Control in ARTIFICIAL INTELLIGENCE IN MEDICINE
  • 2016-12-20 acdc – Automated Contamination Detection and Confidence estimation for single-cell genome data in BMC BIOINFORMATICS
  • 2016-10-13 Transfer Learning for Rapid Re-calibration of a Myoelectric Prosthesis After Electrode Shift in CONVERGING CLINICAL AND ENGINEERING RESEARCH ON NEUROREHABILITATION II
  • 2016-08-13 Local Reject Option for Deterministic Multi-class SVM in ARTIFICIAL NEURAL NETWORKS AND MACHINE LEARNING – ICANN 2016
  • 2016-08-13 Non-negative Kernel Sparse Coding for the Analysis of Motion Data in ARTIFICIAL NEURAL NETWORKS AND MACHINE LEARNING – ICANN 2016
  • 2016-08-13 Convergence of Multi-pass Large Margin Nearest Neighbor Metric Learning in ARTIFICIAL NEURAL NETWORKS AND MACHINE LEARNING – ICANN 2016
  • 2016-01-08 Self-Adjusting Reject Options in Prototype Based Classification in ADVANCES IN SELF-ORGANIZING MAPS AND LEARNING VECTOR QUANTIZATION
  • 2015-09-18 Special Issue on Autonomous Learning in KI - KÜNSTLICHE INTELLIGENZ
  • 2015-08-26 Visualization of Regression Models Using Discriminative Dimensionality Reduction in COMPUTER ANALYSIS OF IMAGES AND PATTERNS
  • 2015-05-21 Autonomous Learning of Representations in KI - KÜNSTLICHE INTELLIGENZ
  • 2015-05-05 Learning Feedback in Intelligent Tutoring Systems in KI - KÜNSTLICHE INTELLIGENZ
  • 2015-01-08 Odor recognition in robotics applications by discriminative time-series modeling in PATTERN ANALYSIS AND APPLICATIONS
  • 2014-11-23 Discriminative Dimensionality Reduction for the Visualization of Classifiers in PATTERN RECOGNITION APPLICATIONS AND METHODS
  • 2014-11-07 Using Discriminative Dimensionality Reduction to Visualize Classifiers in NEURAL PROCESSING LETTERS
  • 2014-10-17 Distance Measures for Prototype Based Classification in BRAIN-INSPIRED COMPUTING
  • 2014-01-31 Sparse conformal prediction for dissimilarity data in ANNALS OF MATHEMATICS AND ARTIFICIAL INTELLIGENCE
  • 2014 Efficient Adaptation of Structure Metrics in Prototype-Based Classification in ARTIFICIAL NEURAL NETWORKS AND MACHINE LEARNING – ICANN 2014
  • 2014 Generative versus Discriminative Prototype Based Classification in ADVANCES IN SELF-ORGANIZING MAPS AND LEARNING VECTOR QUANTIZATION
  • 2014 How to Select an Example? A Comparison of Selection Strategies in Example-Based Learning in INTELLIGENT TUTORING SYSTEMS
  • 2014 Local Rejection Strategies for Learning Vector Quantization in ARTIFICIAL NEURAL NETWORKS AND MACHINE LEARNING – ICANN 2014
  • 2014 Rejection Strategies for Learning Vector Quantization – A Comparison of Probabilistic and Deterministic Approaches in ADVANCES IN SELF-ORGANIZING MAPS AND LEARNING VECTOR QUANTIZATION
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