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Automatic Classification of Cancerous Tissue in Laserendomicroscopy Images of the Oral Cavity using Deep Learning

Scientific reports, 2017-09, Vol.7 (1), p.11979-10, Article 11979

2017

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Chimpanzee Faces in the Wild: Log-Euclidean CNNs for Predicting Identities and Attributes of Primates

Pattern Recognition, p.51-63

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HER2 challenge contest: a detailed assessment of automated HER2 scoring algorithms in whole slide images of breast cancer tissues

Histopathology, 2018-01, Vol.72 (2), p.227-238

2018

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Neural Activation Constellations: Unsupervised Part Model Discovery with Convolutional Networks

2015 IEEE International Conference on Computer Vision (ICCV), 2015, p.1143-1151

2015

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Nonparametric Part Transfer for Fine-Grained Recognition

2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014, p.2489-2496

2014

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Automated analysis of confocal laser endomicroscopy images to detect head and neck cancer

Head & neck, 2016-04, Vol.38 (S1), p.E1419-E1426

2016

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Multivariate anomaly detection for Earth observations: a comparison of algorithms and feature extraction techniques

Earth system dynamics, 2017-08, Vol.8 (3), p.677-696

2017

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Deep bilinear features for Her2 scoring in digital pathology

Current directions in biomedical engineering, 2017-09, Vol.3 (2), p.811-814

2017

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Asymmetric and Category Invariant Feature Transformations for Domain Adaptation

International journal of computer vision, 2014-08, Vol.109 (1-2), p.28-41

2014

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Detecting Regions of Maximal Divergence for Spatio-Temporal Anomaly Detection

IEEE transactions on pattern analysis and machine intelligence, 2019-05, Vol.41 (5), p.1088-1101

2019

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The Whole Is More Than Its Parts? From Explicit to Implicit Pose Normalization

IEEE transactions on pattern analysis and machine intelligence, 2020-03, Vol.42 (3), p.749-763

2020

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One-class classification with Gaussian processes

Pattern recognition, 2013-12, Vol.46 (12), p.3507-3518

2013

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Every Annotation Counts: Multi-label Deep Supervision for Medical Image Segmentation

2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021, p.9527-9537

2021

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Fine-Tuning Deep Neural Networks in Continuous Learning Scenarios

Computer Vision – ACCV 2016 Workshops, p.588-605

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Semi-supervised Domain Adaptation with Instance Constraints

2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013, p.668-675

2013

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Cost-Sensitive Best Subset Selection for Logistic Regression: A Mixed-Integer Conic Optimization Perspective

KI 2023: Advances in Artificial Intelligence, 2023, Vol.14236, p.114-129

2023

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Selecting Influential Examples: Active Learning with Expected Model Output Changes

Computer Vision – ECCV 2014, p.562-577

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Kernel Null Space Methods for Novelty Detection

2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013, p.3374-3381

2013

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Learning with few examples for binary and multiclass classification using regularization of randomized trees

Pattern recognition letters, 2011-01, Vol.32 (2), p.244-251

2011

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Fully convolutional networks in multimodal nonlinear microscopy images for automated detection of head and neck carcinoma: Pilot study

Head & neck, 2019-01, Vol.41 (1), p.116-121

2019

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Understanding object descriptions in robotics by open-vocabulary object retrieval and detection

The International journal of robotics research, 2016-01, Vol.35 (1-3), p.265-280

2016

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Local Novelty Detection in Multi-class Recognition Problems

2015 IEEE Winter Conference on Applications of Computer Vision, 2015, p.813-820

2015

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Part Detector Discovery in Deep Convolutional Neural Networks

Computer Vision -- ACCV 2014, p.162-177

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Decoupled Semantic Prototypes enable learning from diverse annotation types for semi-weakly segmentation in expert-driven domains

2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023, p.15495-15506

2023

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Large-Scale Gaussian Process Inference with Generalized Histogram Intersection Kernels for Visual Recognition Tasks

International journal of computer vision, 2017, Vol.121 (2), p.253-280

2017

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Automatic Classification of Cancerous Tissue in Laserendomicroscopy Images of the Oral Cavity using Deep Learning

Chimpanzee Faces in the Wild: Log-Euclidean CNNs for Predicting Identities and Attributes of Primates

HER2 challenge contest: a detailed assessment of automated HER2 scoring algorithms in whole slide images of breast cancer tissues

Neural Activation Constellations: Unsupervised Part Model Discovery with Convolutional Networks

Nonparametric Part Transfer for Fine-Grained Recognition

Automated analysis of confocal laser endomicroscopy images to detect head and neck cancer

Multivariate anomaly detection for Earth observations: a comparison of algorithms and feature extraction techniques

Deep bilinear features for Her2 scoring in digital pathology

Asymmetric and Category Invariant Feature Transformations for Domain Adaptation

Detecting Regions of Maximal Divergence for Spatio-Temporal Anomaly Detection

The Whole Is More Than Its Parts? From Explicit to Implicit Pose Normalization

One-class classification with Gaussian processes

Every Annotation Counts: Multi-label Deep Supervision for Medical Image Segmentation

Fine-Tuning Deep Neural Networks in Continuous Learning Scenarios

Semi-supervised Domain Adaptation with Instance Constraints

Cost-Sensitive Best Subset Selection for Logistic Regression: A Mixed-Integer Conic Optimization Perspective

Selecting Influential Examples: Active Learning with Expected Model Output Changes

Kernel Null Space Methods for Novelty Detection

Learning with few examples for binary and multiclass classification using regularization of randomized trees

Fully convolutional networks in multimodal nonlinear microscopy images for automated detection of head and neck carcinoma: Pilot study

Understanding object descriptions in robotics by open-vocabulary object retrieval and detection

Local Novelty Detection in Multi-class Recognition Problems

Part Detector Discovery in Deep Convolutional Neural Networks

Decoupled Semantic Prototypes enable learning from diverse annotation types for semi-weakly segmentation in expert-driven domains

Large-Scale Gaussian Process Inference with Generalized Histogram Intersection Kernels for Visual Recognition Tasks

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