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ERP

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Classification of examples recorded under the Event-Related Potential (ERP) paradigm, as part of Brain-Computer Interfaces (BCI).

A number of ERP datasets can be downloaded using the MOABB library: ERP datasets list

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://bitbucket.org/lvareka/cnnforgtn

공식 코드

Evaluation of convolutional neural networks using a large multi-subject P300 dataset

https://github.com/HerrmannM/paper-2021-EAPElasticDist

공식 코드

Early Abandoning and Pruning for Elastic Distances including Dynamic Time Warping

https://github.com/KangchengWu/OIQA

공식 코드

Viewport-Unaware Blind Omnidirectional Image Quality Assessment: A Flexible and Effective Paradigm

https://github.com/MonashTS/tempo

공식 코드

Early Abandoning and Pruning for Elastic Distances including Dynamic Time Warping

https://github.com/NeuroTechX/moabb

공식 코드

The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark

https://github.com/RemilYoucef/split-sd4x

공식 코드

Interpretable Summaries of Black Box Incident Triaging with Subgroup Discovery

https://github.com/fanghua-yu/osrt

공식 코드

OSRT: Omnidirectional Image Super-Resolution with Distortion-aware Transformer

https://github.com/islab-sophia/2s-odis

공식 코드

2S-ODIS: Two-Stage Omni-Directional Image Synthesis by Geometric Distortion Correction

https://github.com/jaewon-lee-b/ltew

공식 코드

Learning Local Implicit Fourier Representation for Image Warping

https://github.com/kesslerr/m4d

공식 코드

How EEG preprocessing shapes decoding performance

https://github.com/limuhit/pseudocylindrical_convolution

공식 코드

Pseudocylindrical Convolutions for Learned Omnidirectional Image Compression

https://github.com/lina-usc/jansen-rit-model-benchmarking-deep-learning

공식 코드

Deep Jansen-Rit Parameter Inference for Model-Driven Analysis of Brain Activity

https://github.com/lizixing23/AMBOKD

공식 코드

Adaptive Modality Balanced Online Knowledge Distillation for Brain-Eye-Computer based Dim Object Detection

https://github.com/nik-sm/bci-disc-models

공식 코드

Recursive Estimation of User Intent from Noninvasive Electroencephalography using Discriminative Models

https://github.com/obada-alzoubi/appear

공식 코드

Automated Pipeline for EEG Artifact Reduction (APPEAR) Recorded during fMRI

https://github.com/okbalefthanded/pylpov

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Towards Fast Single-Trial Online ERP based Brain-Computer Interface using dry EEG electrodes and neural networks: a pilot study

https://github.com/okbalefthanded/stimusto

공식 코드

Towards Fast Single-Trial Online ERP based Brain-Computer Interface using dry EEG electrodes and neural networks: a pilot study

https://github.com/pmh9960/spherediff

공식 코드

SphereDiff: Tuning-free Omnidirectional Panoramic Image and Video Generation via Spherical Latent Representation

https://github.com/remilyoucef/sca-miner

공식 코드

Mining Java Memory Errors using Subjective Interesting Subgroups with Hierarchical Targets

https://github.com/sap-samples/salt

공식 코드

SALT: Sales Autocompletion Linked Business Tables Dataset

https://github.com/thijor/pyntbci

공식 코드

Exploring new territory: Calibration-free decoding for c-VEP BCI

https://github.com/timeflux/demos

공식 코드

End-to-end P300 BCI using Bayesian accumulation of Riemannian probabilities

https://github.com/xuefeng-cs/erp

공식 코드

Entropy-Reinforced Planning with Large Language Models for Drug Discovery

https://github.com/yjzhao19981027/datformer

공식 코드

Distortion-aware Transformer in 360° Salient Object Detection

https://github.com/yuanmingze/360OpticalFlow-TangentImages

공식 코드

360° Optical Flow using Tangent Images

https://github.com/yuliangguo/depth_any_camera

공식 코드

Depth Any Camera: Zero-Shot Metric Depth Estimation from Any Camera

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.