A meta-analysis of semantic classification of citations
The aim of this literature review is to examine the current state of the art in the area of citation
classification. In particular, we investigate the approaches for characterizing citations based …
classification. In particular, we investigate the approaches for characterizing citations based …
Important citation identification using sentiment analysis of in-text citations
Citation represents the relationship between the cited and the citing document and vice
versa. Citations are widely used to measure the different aspects of knowledge-based …
versa. Citations are widely used to measure the different aspects of knowledge-based …
A comprehensive evaluation of metadata-based features to classify research paper's topics
The existing plethora of document classification techniques exploits different data sources
either from the content or metadata of research articles. Various journal publishers like …
either from the content or metadata of research articles. Various journal publishers like …
Explainable AI for material property prediction based on energy cloud: a shapley-driven approach
The scientific community has raised increasing apprehensions over the transparency and
interpretability of machine learning models employed in various domains, particularly in the …
interpretability of machine learning models employed in various domains, particularly in the …
Predictive optimization based energy cost minimization and energy sharing mechanism for peer-to-peer nanogrid network
The scientific community believes that peer-to-peer energy trading will dominate a
significant portion of forthcoming power generation systems research. Despite a plethora of …
significant portion of forthcoming power generation systems research. Despite a plethora of …
A CNN-GRU Approach to the Accurate Prediction of Batteries' Remaining Useful Life from Charging Profiles
Predicting the remaining useful life (RUL) is a pivotal step in ensuring the reliability of lithium-
ion batteries (LIBs). In order to enhance the precision and stability of battery RUL prediction …
ion batteries (LIBs). In order to enhance the precision and stability of battery RUL prediction …
An analysis of document summarization for educational data classification using NLP with machine learning techniques
P Pandiaraja, KB Boopesh, T Deepthi… - … on Computing in …, 2022 - Springer
A document summarization network is a process to reduce the content of the papers without
reducing its meaning, that are connected by links. Document summarization networks have …
reducing its meaning, that are connected by links. Document summarization networks have …
Evaluating the effectiveness of author-count based metrics in measuring scientific contributions
The assessment and evaluation of the academic influence of the researcher is a challenging
task. This task allows the scientific community to make valuable decisions, such as …
task. This task allows the scientific community to make valuable decisions, such as …
Important citation identification by exploiting the syntactic and contextual information of citations
M Wang, J Zhang, S Jiao, X Zhang, N Zhu, G Chen - Scientometrics, 2020 - Springer
Citations are not equally important. Researchers presented different models and techniques
to identify important citations. However, the features used in these work are relatively limited …
to identify important citations. However, the features used in these work are relatively limited …
Toward potential hybrid features evaluation using MLP-ANN binary classification model to tackle meaningful citations
Citation analysis-based systems are premised on assuming that all citations are equally
important. The scientific community argues that a citation may hold divergent reasons and …
important. The scientific community argues that a citation may hold divergent reasons and …