Corrigendum to “Augmented bilinear network for incremental multi-stock time-series classification” [Pattern Recognit. 141 (2023) 109604]

The authors regret that an implementation error was identified in the trading simulation presented in Section 4.5 of the original paper. Specifically, the computation of trade returns incorrectly reversed the use of bid and ask prices, which resulted in inflated profitability estimates. This Corrigendum describes the correction, presents the revised results, and details a new simulation study incorporating a signal-strength–based trading rule to evaluate model robustness. The authors apologise for any inconvenience or misunderstanding caused.

Authors

Institutions

Publication Details

Journal
Pattern Recognition
Published
2026-01-12
DOI
https://doi.org/10.1016/j.patcog.2025.113026
Primary Topic
Stock Market Forecasting Methods
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Corrigendum to “Augmented bilinear network for incremental multi-stock time-series classification” [Pattern Recognit. 141 (2023) 109604]

Juho Kanniainen, Alexandros Iosifidis, Mostafa Shabani, Dat Thanh Tran
Pattern Recognition
Stock Market Forecasting Methods
article

Corrigendum to “Augmented bilinear network for incremental multi-stock time-series classification” [Pattern Recognit. 141 (2023) 109604]

Juho Kanniainen, Alexandros Iosifidis, Mostafa Shabani, Dat Thanh Tran
article en

Abstract

The authors regret that an implementation error was identified in the trading simulation presented in Section 4.5 of the original paper. Specifically, the computation of trade returns incorrectly reversed the use of bid and ask prices, which resulted in inflated profitability estimates. This Corrigendum describes the correction, presents the revised results, and details a new simulation study incorporating a signal-strength–based trading rule to evaluate model robustness. The authors apologise for any inconvenience or misunderstanding caused.

Pattern RecognitionVol. 175
Tampere University (FI), Aarhus University (DK)
Openalex Percentile: Top 92%
Stock Market Forecasting Methods
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.