Dan C. Ciresan

Affiliations:
  • University of Lugano, Dalle Molle Institute for Artificial Intelligence Research (IDSIA)


According to our database1, Dan C. Ciresan authored at least 29 papers between 2006 and 2016.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2016
A Machine Learning Approach to Visual Perception of Forest Trails for Mobile Robots.
IEEE Robotics Autom. Lett., 2016

2015
Assessment of algorithms for mitosis detection in breast cancer histopathology images.
Medical Image Anal., 2015

Multi-Column Deep Neural Networks for offline handwritten Chinese character classification.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Efficient Classifier Training to Minimize False Merges in Electron Microscopy Segmentation.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

2014
Candidate Sampling for Neuron Reconstruction from Anisotropic Electron Microscopy Volumes.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014

A comparison of algorithms and humans for mitosis detection.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

2013
Multi-Column Deep Neural Networks for Offline Handwritten Chinese Character Classification.
CoRR, 2013

Mitosis Detection in Breast Cancer Histology Images with Deep Neural Networks.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013

A fast learning algorithm for image segmentation with max-pooling convolutional networks.
Proceedings of the IEEE International Conference on Image Processing, 2013

Fast image scanning with deep max-pooling convolutional neural networks.
Proceedings of the IEEE International Conference on Image Processing, 2013

2012
Deep Big Multilayer Perceptrons for Digit Recognition.
Proceedings of the Neural Networks: Tricks of the Trade - Second Edition, 2012

Multi-column deep neural network for traffic sign classification.
Neural Networks, 2012

Deep Neural Networks Segment Neuronal Membranes in Electron Microscopy Images.
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

Steel defect classification with Max-Pooling Convolutional Neural Networks.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

Transfer learning for Latin and Chinese characters with Deep Neural Networks.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

Multi-column deep neural networks for image classification.
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

2011
Handwritten Digit Recognition with a Committee of Deep Neural Nets on GPUs
CoRR, 2011

High-Performance Neural Networks for Visual Object Classification
CoRR, 2011

A committee of neural networks for traffic sign classification.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

Flexible, High Performance Convolutional Neural Networks for Image Classification.
Proceedings of the IJCAI 2011, 2011

Max-pooling convolutional neural networks for vision-based hand gesture recognition.
Proceedings of the 2011 IEEE International Conference on Signal and Image Processing Applications, 2011

Better Digit Recognition with a Committee of Simple Neural Nets.
Proceedings of the 2011 International Conference on Document Analysis and Recognition, 2011

Convolutional Neural Network Committees for Handwritten Character Classification.
Proceedings of the 2011 International Conference on Document Analysis and Recognition, 2011

Stacked Convolutional Auto-Encoders for Hierarchical Feature Extraction.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2011, 2011

On Fast Deep Nets for AGI Vision.
Proceedings of the Artificial General Intelligence - 4th International Conference, 2011

2010
Deep, Big, Simple Neural Nets for Handwritten Digit Recognition.
Neural Comput., 2010

Deep Big Simple Neural Nets Excel on Handwritten Digit Recognition
CoRR, 2010

2008
Avoiding Segmentation in Multi-Digit Numeral String Recognition by Combining Single and Two-Digit Classifiers Trained without Negative Examples.
Proceedings of the SYNASC 2008, 2008

2006
Preserving Topological Information in the Windowed Hough Transform for Rectangle Extraction.
Proceedings of the Pattern Recognition, 2006


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