publications

2022

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

   Timothy Reese, and Yu Michael Zhu

   2022

   Bib

   @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

1. 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

   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

1. 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

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

   Timothy Reese, and Majid Mojirsheibani

   Stat. Methods Appl. 2017

   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}
   }

2. 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}
   }