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SPSO-Pruner: a network pruning method on YOLOv5 for fewer categories scenarios
In recent years, object detection methods based on deep learning have developed rapidly, but we have found that comparing with public datasets, the...
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Sklar’s Omega: A Gaussian copula-based framework for assessing agreement
The statistical measurement of agreement—the most commonly used form of which is inter-coder agreement (also called inter-rater reliability), i.e.,...
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SLHCat: Map** Wikipedia Categories and Lists to DBpedia by Leveraging Semantic, Lexical, and Hierarchical Features
Wikipedia articles are hierarchically organized through categories and lists, providing one of the most comprehensive and universal taxonomy, but its...
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A Learning Analytics Approach to Build Learner Profiles Within the Educational Game OMEGA+
Educational games can act as excellent learning environments, where learners play and learn at the same time. However, typically, once a game has...
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Realizing \(\omega \) -regular Hyperproperties
We study the expressiveness and reactive synthesis problem of HyperQPTL, a logic that specifies \(\omega \) -regular hyperproperties. HyperQPTL is...
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Prediction of Wafer Map Categories Using Wafer Acceptance Test Parameters in Semiconductor Manufacturing
The semiconductor industry is always looking for new solutions to maximize yield. Recently, the focus has been on utilizing the manufacturing data to...
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OpenFE: feature-extended OpenMax for open set facial expression recognition
Open-set methods are crucial for rejecting unknown facial expressions in real-world scenarios. Traditional open-set methods primarily rely on a...
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Morphology on Categorical Distributions
Mathematical morphology (MM) is an indispensable tool for post-processing. Several extensions of MM to categorical images, such as multi-class...
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Towards Recognizing Unseen Categories in Unseen Domains
Current deep visual recognition systems suffer from severe performance degradation when they encounter new images from classes and scenarios unseen...
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The OMEGA Theory: Understanding the Construction of Organisations
The OMEGA theory, also called organisational construction theory, is a theory about the modular structures that can be distinguished in...
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SMEC: Scene Mining for E-Commerce
Scene-based recommendation has proven its usefulness in E-commerce, by recommending commodities based on a given scene. However, scenes are typically...
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MTGNet: multi-label mesh quality evaluation using topology-guided graph neural network
Mesh quality directly affects the accuracy and efficiency of numerical simulation. Mesh quality evaluation aims to evaluate the suitability of the...
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Fast Practical Lattice Reduction Through Iterated Compression
We introduce a new lattice basis reduction algorithm with approximation guarantees analogous to the LLL algorithm and practical performance that far...
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Normalized category travel personality by considering explicit and implicit feedback (NCTP): approach for improving travel recommender systems search result
Large volumes of end-user-generated textual data are assembled every day which leads to the evolution of social media in the form of...
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Universal Prototype Transport for Zero-Shot Action Recognition and Localization
This work addresses the problem of recognizing action categories in videos when no training examples are available. The current state-of-the-art...
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Open Set Recognition in Real World
Open set recognition (OSR) constitutes a critical endeavor within the domain of computer vision, frequently deployed in applications, such as...
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Elite GA-based feature selection of LSTM for earthquake prediction
Earthquake magnitude prediction is an exceptionally challenging task that has been explored through various machine learning approaches. However, the...
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CAT: a coarse-to-fine attention tree for semantic change detection
Semantic change detection (SCD) and land cover map** (LCM) are always treated as a dual task in the field of remote sensing. However, due to...
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CenterMatch: A Center Matching Method for Semi-supervised Facial Expression Recognition
The label uncertainty in large-scale qualitative facial expression datasets, caused by low-quality images and subjective annotations, combined with...
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Fuzzy Presheaves are Quasitoposes
Quasitoposes encompass a wide range of structures, including various categories of graphs. They have proven to be a natural setting for reasoning...