April 2, 2024, 7:44 p.m. | Zhaoshan Liu, Lei Shen

cs.LG updates on arXiv.org arxiv.org

arXiv:2302.02314v4 Announce Type: replace-cross
Abstract: The COVID-19 pandemic has resulted in hundreds of million cases and numerous deaths worldwide. Here, we develop a novel classification network CECT by controllable ensemble convolutional neural network and transformer to provide a timely and accurate COVID-19 diagnosis. The CECT is composed of a parallel convolutional encoder block, an aggregate transposed-convolutional decoder block, and a windowed attention classification block. Each block captures features at different scales from 28 $\times$ 28 to 224 $\times$ 224 from …

arxiv classification cnn covid covid-19 cs.cv cs.lg eess.iv ensemble image transformer type

Data Scientist (m/f/x/d)

@ Symanto Research GmbH & Co. KG | Spain, Germany

Data Analyst

@ S&P Global | IN - HYDERABAD SKYVIEW

EY GDS Internship Program - Junior Data Visualization Engineer (June - July 2024)

@ EY | Wrocław, DS, PL, 50-086

Staff Data Scientist

@ ServiceTitan | INT Armenia Yerevan

Master thesis on deterministic AI inference on-board Telecom Satellites

@ Airbus | Taufkirchen / Ottobrunn

Lead Data Scientist

@ Picket | Seattle, WA