Pattern Recognition Letters
Overview
Pattern Recognition Letters is a renowned interdisciplinary journal that focuses on the latest advancements in pattern recognition and its applications. It publishes high-quality research articles, reviews, and letters, covering topics such as machine learning, computer vision, data mining, and artificial intelligence. With a strong emphasis on practical applications, this journal serves as a valuable resource for researchers, practitioners, and students in the field of pattern recognition.
Details
Details
Abbr.
Pattern Recognit Lett
Start
1982
End
Continuing
Frequency
Monthly, 2019-
p-ISSN
0167-8655
Country
Netherlands
Language
English
Metrics
Metrics
h-index / Ranks: 918
181
SJR / Ranks: 2193
1400
CiteScore / Ranks: 1055
11.50
JIF / Ranks: 1521
5.1
Recent Articles
1.
Hinduja S, Nourivandi T, Cohn J, Canavan S
Pattern Recognit Lett
. 2024 Aug;
182:111-117.
PMID: 39086494
Detecting action units is an important task in face analysis, especially in facial expression recognition. This is due, in part, to the idea that expressions can be decomposed into multiple...
2.
Xu J
Pattern Recognit Lett
. 2024 Jan;
178:62-68.
PMID: 38186922
The area under the Receiver Operating Characteristic (ROC) curve (AUC) is a standard metric for quantifying and comparing binary classifiers. A popular approach to estimating the AUCs and the associated...
3.
Dagaev N, Roads B, Luo X, Barry D, Patil K, Love B
Pattern Recognit Lett
. 2023 Nov;
166:164-171.
PMID: 37915616
Despite their impressive performance in object recognition and other tasks under standard testing conditions, deep networks often fail to generalize to out-of-distribution (o.o.d.) samples. One cause for this shortcoming is...
4.
Ondov B, Samet H
Pattern Recognit Lett
. 2023 Apr;
168:1-7.
PMID: 37034964
Region expansion-the growth of regions to include all points within a certain distance of their perimeters-is a basic, widely applicable operation, but is expensive to perform exactly. It has been...
5.
Yang B, Wu J, Ikeda K, Hattori G, Sugano M, Iwasawa Y, et al.
Pattern Recognit Lett
. 2022 Nov;
164:173-182.
PMID: 36407855
As wearing face masks is becoming an embedded practice due to the COVID-19 pandemic, facial expression recognition (FER) that takes face masks into account is now a problem that needs...
6.
Umer M, Sadiq S, Karamti H, Eshmawi A, Nappi M, Sana M, et al.
Pattern Recognit Lett
. 2022 Nov;
164:224-231.
PMID: 36407854
Pandemics influence people negatively and people experience fear and disappointment. With the global outspread of COVID-19, the sentiments of the general public are substantially influenced, and analyzing their sentiments could...
7.
Uddin M, Rafiq R
Pattern Recognit Lett
. 2022 Sep;
162:31-39.
PMID: 36060216
The spread of the COVID-19 pandemic is observed to follow the shape of "waves" (i.e., the rise and fall of population-adjusted daily new infection cases with time). Different geographic regions...
8.
Patel K, Wang G
Pattern Recognit Lett
. 2022 Aug;
153:176-182.
PMID: 35938044
Channel attention mechanisms in convolutional neural networks have been proven to be effective in various computer vision tasks. However, the performance improvement comes with additional model complexity and computation cost....
9.
Liu Z, Jiang Z, Kip G, Snigdha K, Xu J, Wu X, et al.
Pattern Recognit Lett
. 2022 May;
158:133-140.
PMID: 35496673
The outbreak of the SARS-CoV-2 novel coronavirus has caused a health crisis of immeasurable magnitude. Signals from heterogeneous public data sources could serve as early predictors for infection waves of...
10.
Sunitha D, Patra R, Babu N, Suresh A, Gupta S
Pattern Recognit Lett
. 2022 Apr;
158:164-170.
PMID: 35464347
As of November 2021, more than 24.80 crore people are diagnosed with the coronavirus in that around 50.20 lakhs people lost their lives, because of this infectious disease. By understanding...