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Convolution

A convolutional neural network for steady state visual evoked potential classification under ambulatory environment

No-Sang Kwak, Klaus-Robert Müller, Seong-Whan Lee

Deep learning model for fully automated breast cancer detection system from thermograms

Esraa A. Mohamed, Essam A. Rashed, Tarek Gaber, Omar Karam

Fault Diagnosis for Rotating Machinery: A Method based on Image Processing

Chen Lu, Yang Wang, Minvydas Ragulskis, Yujie Cheng

Is Granger Causality a Viable Technique for Analyzing fMRI Data?

Xiaotong Wen, Govindan Rangarajan, Mingzhou Ding

An efficient mixture of deep and machine learning models for COVID-19 diagnosis in chest X-ray images

Dingding Wang, Jiaqing Mo, [ ... ], Yajun Liu

Changing the Chevreul Illusion by a Background Luminance Ramp: Lateral Inhibition Fails at Its Traditional Stronghold - A Psychophysical Refutation

János Geier, Mariann Hudák

Multi- class classification of breast cancer abnormalities using Deep Convolutional Neural Network (CNN)

Maleika Heenaye-Mamode Khan, Nazmeen Boodoo-Jahangeer, [ ... ], Kapil Kumar Nagwanshi

rawMSA: End-to-end Deep Learning using raw Multiple Sequence Alignments

Claudio Mirabello, Björn Wallner

Deep architectures for long-term stock price prediction with a heuristic-based strategy for trading simulations

Catalin Stoean, Wiesław Paja, Ruxandra Stoean, Adrian Sandita

Gold price prediction by a CNN-Bi-LSTM model along with automatic parameter tuning

Amirhossein Amini, Robab Kalantari

Automatic segmentation of brain MRI using a novel patch-wise U-net deep architecture

Bumshik Lee, Nagaraj Yamanakkanavar, Jae Young Choi

A deep convolutional neural network-based automatic delineation strategy for multiple brain metastases stereotactic radiosurgery

Yan Liu, Strahinja Stojadinovic, [ ... ], Xuejun Gu

An RDAU-NET model for lesion segmentation in breast ultrasound images

Zhemin Zhuang, Nan Li, [ ... ], Shunmin Qiu

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