Integrated Gradients for Enhanced Interpretation of P3b-ERP Classifiers Trained with EEG-superlets in Traditional and Virtual Environments.

Vladimir Marochko; Jacek Rogala; Luca Longo

Integrated Gradients for Enhanced Interpretation of P3b-ERP Classifiers Trained with EEG-superlets in Traditional and Virtual Environments.

Vladimir Marochko
, Jacek Rogala
, Luca Longo

School of Computer Science and Information Technology

Research output: Chapter in Book/Report/Conference proceedings › Conference proceeding › peer-review

Original language	Undefined/Unknown
Title of host publication	xAI (Late-breaking Work, Demos, Doctoral Consortium)
Pages	49-56
Number of pages	8
Publication status	Published - 2025

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@inproceedings{67af4dcda633459d910d1ec201987132,

title = "Integrated Gradients for Enhanced Interpretation of P3b-ERP Classifiers Trained with EEG-superlets in Traditional and Virtual Environments.",

author = "Vladimir Marochko and Jacek Rogala and Luca Longo",

note = "DBLP License: DBLP's bibliographic metadata records provided through http://dblp.org/ are distributed under a Creative Commons CC0 1.0 Universal Public Domain Dedication. Although the bibliographic metadata records are provided consistent with CC0 1.0 Dedication, the content described by the metadata records is not. Content may be subject to copyright, rights of privacy, rights of publicity and other restrictions.",

year = "2025",

language = "Undefined/Unknown",

pages = "49--56",

booktitle = "xAI (Late-breaking Work, Demos, Doctoral Consortium)",

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T1 - Integrated Gradients for Enhanced Interpretation of P3b-ERP Classifiers Trained with EEG-superlets in Traditional and Virtual Environments.

AU - Marochko, Vladimir

AU - Rogala, Jacek

AU - Longo, Luca

N1 - DBLP License: DBLP's bibliographic metadata records provided through http://dblp.org/ are distributed under a Creative Commons CC0 1.0 Universal Public Domain Dedication. Although the bibliographic metadata records are provided consistent with CC0 1.0 Dedication, the content described by the metadata records is not. Content may be subject to copyright, rights of privacy, rights of publicity and other restrictions.

PY - 2025

Y1 - 2025

M3 - Conference proceeding

SP - 49

EP - 56

BT - xAI (Late-breaking Work, Demos, Doctoral Consortium)

ER -