publications | Deep Binarization

2022

LB-CNN: Convolutional neural network with latent binarization for large scale multi-class classification

Timothy Reese, and Yu Michael Zhu

In Deep Learning Applications, Volume 3, 2022

@incollection{reese2022lb,
  title = {LB-CNN: Convolutional neural network with latent binarization for large scale multi-class classification},
  author = {Reese, Timothy and Michael Zhu, Yu},
  booktitle = {Deep Learning Applications, Volume 3},
  pages = {193--214},
  year = {2022},
  publisher = {Springer}
}

2020

LB-CNN: Convolutional Neural Network with Latent Binarization for Large Scale Multi-class Classification

Timothy Reese, and Michael Zhu

In 19th IEEE International Conference on Machine Learning and Applications, ICMLA 2020, Miami, FL, USA, December 14-17, 2020, 2020

DOI Bib

@inproceedings{DBLP:conf/icmla/ReeseZ20,
  author = {Reese, Timothy and Zhu, Michael},
  editor = {Wani, M. Arif and Luo, Feng and Li, Xiaolin Andy and Dou, Dejing and Bonchi, Francesco},
  title = {{LB-CNN:} Convolutional Neural Network with Latent Binarization for
                 Large Scale Multi-class Classification},
  booktitle = {19th {IEEE} International Conference on Machine Learning and Applications,
                 {ICMLA} 2020, Miami, FL, USA, December 14-17, 2020},
  pages = {142--147},
  publisher = {{IEEE}},
  year = {2020},
  url = {https://doi.org/10.1109/ICMLA51294.2020.00031},
  doi = {10.1109/ICMLA51294.2020.00031},
  timestamp = {Sun, 25 Jul 2021 11:44:52 +0200},
  biburl = {https://dblp.org/rec/conf/icmla/ReeseZ20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

2019

Cortical and Subcortical Contributions to Predicting Intelligence Using 3D ConvNets

Yukai Zou, Ikbeom Jang, Timothy G Reese, and 3 more authors

In Challenge in Adolescent Brain Cognitive Development Neurocognitive Prediction, 2019

Bib

@inproceedings{zou2019cortical,
  title = {Cortical and Subcortical Contributions to Predicting Intelligence Using 3D ConvNets},
  author = {Zou, Yukai and Jang, Ikbeom and Reese, Timothy G and Yao, Jinxia and Zhu, Wenbin and Rispoli, Joseph V},
  booktitle = {Challenge in Adolescent Brain Cognitive Development Neurocognitive Prediction},
  pages = {176--185},
  year = {2019},
  organization = {Springer}
}

2017

On the Lp norms of kernel regression estimators for incomplete data with applications to classification

Timothy Reese, and Majid Mojirsheibani

Stat. Methods Appl., 2017

DOI Bib

@article{DBLP:journals/sma/ReeseM17,
  author = {Reese, Timothy and Mojirsheibani, Majid},
  title = {On the Lp norms of kernel regression estimators for
                 incomplete data with applications to classification},
  journal = {Stat. Methods Appl.},
  volume = {26},
  number = {1},
  pages = {81--112},
  year = {2017},
  url = {https://doi.org/10.1007/s10260-016-0359-6},
  doi = {10.1007/s10260-016-0359-6},
  timestamp = {Mon, 25 May 2020 09:14:43 +0200},
  biburl = {https://dblp.org/rec/journals/sma/ReeseM17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

Kernel regression estimation for incomplete data with applications

Majid Mojirsheibani, and Timothy Reese

Statistical Papers, 2017

Bib

@article{mojirsheibani2017kernel,
  title = {Kernel regression estimation for incomplete data with applications},
  author = {Mojirsheibani, Majid and Reese, Timothy},
  journal = {Statistical Papers},
  volume = {58},
  number = {1},
  pages = {185--209},
  year = {2017},
  publisher = {Springer}
}