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Comparative Evaluation of 3D and 2D Deep Learning Techniques for Semantic Segmentation in CT Scans

Jan 19, 2021
Abhishek Shivdeo, Rohit Lokwani, Viraj Kulkarni, Amit Kharat, Aniruddha Pant

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Have convolutions already made recurrence obsolete for unconstrained handwritten text recognition ?

Dec 09, 2020
Denis Coquenet, Yann Soullard, Clément Chatelain, Thierry Paquet

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EXplainable Neural-Symbolic Learning (X-NeSyL) methodology to fuse deep learning representations with expert knowledge graphs: the MonuMAI cultural heritage use case

Apr 24, 2021
Natalia Díaz-Rodríguez, Alberto Lamas, Jules Sanchez, Gianni Franchi, Ivan Donadello, Siham Tabik, David Filliat, Policarpo Cruz, Rosana Montes, Francisco Herrera

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Multiclass Burn Wound Image Classification Using Deep Convolutional Neural Networks

Mar 01, 2021
Behrouz Rostami, Jeffrey Niezgoda, Sandeep Gopalakrishnan, Zeyun Yu

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Learnable Embedding Sizes for Recommender Systems

Jan 19, 2021
Siyi Liu, Chen Gao, Yihong Chen, Depeng Jin, Yong Li

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Local Change Point Detection and Signal Cleaning using EEMD with applications to Acoustic Shockwaves and Cardiac Signals

Mar 01, 2021
Kentaro Hoffman, Jonathan M. Lees, Kai Zhang

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Federated Unlearning

Dec 27, 2020
Gaoyang Liu, Yang Yang, Xiaoqiang Ma, Chen Wang, Jiangchuan Liu

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Efficient Online Hyperparameter Optimization for Kernel Ridge Regression with Applications to Traffic Time Series Prediction

Nov 01, 2018
Hongyuan Zhan, Gabriel Gomes, Xiaoye S. Li, Kamesh Madduri, Kesheng Wu

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Trust Your IMU: Consequences of Ignoring the IMU Drift

Mar 15, 2021
Marcus Valtonen Örnhag, Patrik Persson, Mårten Wadenbäck, Kalle Åström, Anders Heyden

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Technical Report for Real-Time Certified Probabilistic Pedestrian Forecasting

Jun 20, 2017
Henry O. Jacobs, Owen K. Hughes, Matthew Johnson-Roberson, Ram Vasudevan

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