Results 31 to 40 of about 6,356,098 (354)
Sarcasm detection on Twitter [PDF]
, 2016 State-of-the-art approaches for sarcasm detection in social media combine lexical clues with contextual information surrounding the potentially sarcastic posting including author information.
Lyu, Hao
core +1 more source
On the Critical Heat Flux Assessment of Micro- and Nanoscale Roughened Surfaces
Nanomaterials, 2022 The boiling crisis or critical heat flux (CHF) is a very critical constraint for any heat-flux-controlled boiling system. The existing methods (physical models and empirical correlations) offer a specific interpretation of the boiling phenomenon, as many
Uzair Sajjad +5 more
doaj +1 more source
Detecting Obfuscated Malware using Memory Feature Engineering
International Conference on Information Systems Security and Privacy, 2022 : Memory analysis is critical in detecting malicious processes as it can capture various characteristics and behav-iors. However, while there is much research in the field, there are also some significant obstacles in malware detection, such as detection ...
Tristan Carrier +3 more
semanticscholar +1 more source
LEMDA: A Novel Feature Engineering Method for Intrusion Detection in IoT Systems [PDF]
IEEE Internet of Things JournalIntrusion detection systems (IDSs) for the Internet of Things (IoT) systems can use AI-based models to ensure secure communications. IoT systems tend to have many connected devices producing massive amounts of data with high dimensionality, which ...
Ali Ghubaish +3 more
semanticscholar +1 more source
Lung and colon cancer classification using medical imaging: a feature engineering approach
Physical and Engineering Sciences in Medicine, 2022 Lung and colon cancers lead to a significant portion of deaths. Their simultaneous occurrence is uncommon, however, in the absence of early diagnosis, the metastasis of cancer cells is very high between these two organs.
Aya Hage Chehade +4 more
semanticscholar +1 more source
Ontology Driven Feature Engineering for Opinion Mining
IEEE Access, 2019 In the process of knowledge discovery, the reliability of results depends upon the effectiveness of attributes selected for decision. The curse of dimensionality refers to the phenomenon in which the excessive number of dimensions affect the analysis. In
Shafaq Siddiqui +3 more
doaj +1 more source
Italian National Conference on Sensors, 2022 This paper proposes a new hybrid framework for short-term load forecasting (STLF) by combining the Feature Engineering (FE) and Bayesian Optimization (BO) algorithms with a Bayesian Neural Network (BNN).
M. Zulfiqar +3 more
semanticscholar +1 more source
Flavor changes of Yunnan large-leaf cultivar white tea during different aging periods
Food Chemistry: XYunnan large-leaf white tea gains popularity for its unique flavor attributable to the local tea varieties and environments. But how aging crucially enhances its quality and flavor remains unclear. Here, flavor change and safety quality of “Qinghuan” (QH)
Caibi Zhou +6 more
doaj +1 more source
DeepFM: A Factorization-Machine based Neural Network for CTR Prediction
, 2017 Learning sophisticated feature interactions behind user behaviors is critical in maximizing CTR for recommender systems. Despite great progress, existing methods seem to have a strong bias towards low- or high-order interactions, or require expertise ...
Guo, Huifeng +4 more
core +1 more source
Machine Learning Techniques for Stellar Light Curve Classification [PDF]
, 2018 We apply machine learning techniques in an attempt to predict and classify stellar properties from noisy and sparse time series data. We preprocessed over 94 GB of Kepler light curves from MAST to classify according to ten distinct physical properties ...
Hinners, Trisha +2 more
core +2 more sources