Results 21 to 30 of about 471,216 (339)
High-resolution hydroacoustic datasets for over 7000 km2 of Southern Baltic [PDF]
This study presents high-resolution hydroacoustic datasets covering over 7000 km2 of Polish Marine Areas in the Southern Baltic, acquired between April 2022 and December 2023 as part of a national initiative to map benthic habitats using advanced sonar ...
Ł. Janowski +44 more
doaj +1 more source
Analysis of Deep Learning Model Combinations and Tokenization Approaches in Sentiment Classification
Sentiment classification is a natural language processing task to identify opinions expressed in texts such as product or service reviews. In this work, we analyze the effects of different deep-learning model combinations, embedding methods, and ...
Ali Erkan, Tunga Gungor
doaj +1 more source
Reweaving the Threads of Korean History: AI-Driven Restoration of the Daegu-bu Household Registers (1681-1876). [PDF]
In this study, we have applied advanced masked language models (MLMs)—BERT, DistilBERT, ELECTRA, and RoBERTa—to infer missing and misinterpreted values in comprehensive family register data.
Mun S, Lee D, Yoo J, Lee S.
europepmc +2 more sources
Wydawnictwo Naukowe Scholar, Warszawa, 2014.
Anna Domaradzka
doaj +1 more source
This research presents a comprehensive analysis of the spatial extent and temporal change in benthic habitats within the Puck Lagoon in the southern Baltic Sea, utilizing integrated machine learning classification and multi-sourced remote sensing. Object-
Łukasz Janowski +7 more
doaj +1 more source
Comparing Word Representation BERT and RoBERTa in Keyphrase Extraction using TgGAT
In this digital era, accessing vast amounts of information from websites and academic papers has become easier. However, efficiently locating relevant content remains challenging due to the overwhelming volume of data.
Novi Yusliani +4 more
openalex +4 more sources
INFLUENCE OF DATA AUGMENTATION ON NAMED ENTITY RECOGNITION USING TRANSFORMER-BASED MODELS
Transformer-based models have demonstrated their effectiveness for natural language processing tasks. Training these models requires huge amounts of textual data.
Bohdan Pavlyshenko, I. Drozdov
doaj +1 more source
Index to Roberta Schmalz Campbell Interview [PDF]
This index provides a time-stamped overview of the subjects discussed during an oral history interview with Roberta (Schmalz) Campbell, Linfield College class of ...
Guyot, Ruby
core +1 more source
ABSTRACT Purpose Malignant rhabdoid tumor of the kidney (MRTK) is a rare, aggressive tumor seen in young children. The optimal timing of resection for locally advanced tumors is not well‐defined. The purpose of this study is to evaluate modern oncologic outcomes and the impact of surgical timing. Methods A multicenter retrospective review was performed
Hannah N. Rinehardt +76 more
wiley +1 more source

