Explained anomaly detection in text reviews: Can subjective scenarios be correctly evaluated?

8 November 2023

Papers citing "Explained anomaly detection in text reviews: Can subjective scenarios be correctly evaluated?"

8 / 8 papers shown

Title
Fast Deep Autoencoder for Federated learning David Novoa-Paradela O. Fontenla-Romero Bertha Guijarro-Berdiñas FedML 42 21 0 10 Jun 2022
Evaluating Explainable AI: Which Algorithmic Explanations Help Users Predict Model Behavior? Peter Hase Joey Tianyi Zhou FAtt 70 302 0 04 May 2020
MPNet: Masked and Permuted Pre-training for Language Understanding Kaitao Song Xu Tan Tao Qin Jianfeng Lu Tie-Yan Liu 99 1,115 0 20 Apr 2020
Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities and Challenges toward Responsible AI Alejandro Barredo Arrieta Natalia Díaz Rodríguez Javier Del Ser Adrien Bennetot Siham Tabik ... S. Gil-Lopez Daniel Molina Richard Benjamins Raja Chatila Francisco Herrera XAI 113 6,251 0 22 Oct 2019
XLNet: Generalized Autoregressive Pretraining for Language Understanding Zhilin Yang Zihang Dai Yiming Yang J. Carbonell Ruslan Salakhutdinov Quoc V. Le AI4CE 215 8,415 0 19 Jun 2019
A Unified Approach to Interpreting Model Predictions Scott M. Lundberg Su-In Lee FAtt 889 21,815 0 22 May 2017
One-Class Classification: Taxonomy of Study and Review of Techniques Shehroz S. Khan Michael G. Madden 70 567 0 30 Nov 2013
Efficient Estimation of Word Representations in Vector Space Tomas Mikolov Kai Chen G. Corrado J. Dean 3DV 627 31,469 0 16 Jan 2013