Haiping Ma
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View article: FedCD: A Fairness-aware Federated Cognitive Diagnosis Framework
FedCD: A Fairness-aware Federated Cognitive Diagnosis Framework Open
Online intelligent education platforms have generated a vast amount of distributed student learning data. This influx of data presents opportunities for cognitive diagnosis (CD) to assess students' mastery of knowledge concepts while also …
View article: Construction of a risk prediction model for falls in elderly lung cancer patients with sarcopenia
Construction of a risk prediction model for falls in elderly lung cancer patients with sarcopenia Open
Background To explore the risk factors associated with falls in elderly lung cancer patients with sarcopenia, construct a predictive model, and validate its performance. Methods This cross-sectional study involved 316 lung cancer patients …
View article: Correlation between baseline anion gap and early acute kidney injury in patients with acute pancreatitis in the intensive care unit: A single-center retrospective cohort study
Correlation between baseline anion gap and early acute kidney injury in patients with acute pancreatitis in the intensive care unit: A single-center retrospective cohort study Open
Objective Acute pancreatitis (AP) is an acute inflammatory disease that can lead to multiple system dysfunction, including acute kidney injury (AKI). AKI occurs in 10%-42% of AP patients, and studies have shown that early (48 hours) acute …
View article: Analysis of deformation evolution characteristics of the northern Lajishan fault before the Jishishan MS6.2 earthquake based on GNSS observations
Analysis of deformation evolution characteristics of the northern Lajishan fault before the Jishishan MS6.2 earthquake based on GNSS observations Open
A M S 6.2 earthquake struck Jishishan Country in Gansu Province on 18 December 2023. The earthquake occurred on the eastern branch of the Northern Lajishan fault (NLJSF) which has never experienced such a violent seismic event in recorded …
View article: DisenGCD: A Meta Multigraph-assisted Disentangled Graph Learning Framework for Cognitive Diagnosis
DisenGCD: A Meta Multigraph-assisted Disentangled Graph Learning Framework for Cognitive Diagnosis Open
Existing graph learning-based cognitive diagnosis (CD) methods have made relatively good results, but their student, exercise, and concept representations are learned and exchanged in an implicit unified graph, which makes the interaction-…
View article: Model-Agnostic Adaptive Testing for Intelligent Education Systems via Meta-learned Gradient Embeddings
Model-Agnostic Adaptive Testing for Intelligent Education Systems via Meta-learned Gradient Embeddings Open
The field of education has undergone a significant revolution with the advent of intelligent systems and technology, which aim to personalize the learning experience, catering to the unique needs and abilities of individual learners. In th…
View article: Survey of Computerized Adaptive Testing: A Machine Learning Perspective
Survey of Computerized Adaptive Testing: A Machine Learning Perspective Open
Computerized Adaptive Testing (CAT) provides an efficient and tailored method for assessing the proficiency of examinees, by dynamically adjusting test questions based on their performance. Widely adopted across diverse fields like educati…
View article: Distributed maximum correntropy unscented Kalman filter under hybrid attacks in non‐Gaussian environment
Distributed maximum correntropy unscented Kalman filter under hybrid attacks in non‐Gaussian environment Open
This paper addresses a distributed nonlinear filtering issue based on maximum correntropy for dealing with randomly occurring hybrid cyber‐attacks in non‐Gaussian environment. The types of cyber‐attacks include denial of service attacks an…
View article: ReliCD: A Reliable Cognitive Diagnosis Framework with Confidence Awareness
ReliCD: A Reliable Cognitive Diagnosis Framework with Confidence Awareness Open
During the past few decades, cognitive diagnostics modeling has attracted increasing attention in computational education communities, which is capable of quantifying the learning status and knowledge mastery levels of students. Indeed, th…
View article: SegT: A Novel Separated Edge-guidance Transformer Network for Polyp Segmentation
SegT: A Novel Separated Edge-guidance Transformer Network for Polyp Segmentation Open
Accurate segmentation of colonoscopic polyps is considered a fundamental step in medical image analysis and surgical interventions. Many recent studies have made improvements based on the encoder-decoder framework, which can effectively se…
View article: A novel computerized adaptive testing framework with decoupled learning selector
A novel computerized adaptive testing framework with decoupled learning selector Open
Computerized adaptive testing (CAT) targets to accurately assess the student’s proficiency in the required subject/area. The key issue is how to design a question selector that adaptively selects the best-suited questions for each student …
View article: SegT: Separated edge-guidance transformer network for polyp segmentation
SegT: Separated edge-guidance transformer network for polyp segmentation Open
Accurate segmentation of colonoscopic polyps is considered a fundamental step in medical image analysis and surgical interventions. Many recent studies have made improvements based on the encoder-decoder framework, which can effectively se…
View article: miR-3064-5p and miR-4745-5p affect heparin sensitivity in patients undergoing cardiac surgery by regulating AT-III and factor X mRNA levels
miR-3064-5p and miR-4745-5p affect heparin sensitivity in patients undergoing cardiac surgery by regulating AT-III and factor X mRNA levels Open
Subject: Perioperative regulation of coagulation function through heparin in patients undergoing cardiac surgery with cardiopulmonary bypass is an important part of performing cardiac surgery, and postoperative bleeding due to abnormal coa…
View article: Effect of Etomidate vs Propofol for Total Intravenous Anesthesia on Major Postoperative Complications in Older Patients
Effect of Etomidate vs Propofol for Total Intravenous Anesthesia on Major Postoperative Complications in Older Patients Open
Importance Older patients may benefit from the hemodynamic stability of etomidate for general anesthesia. However, it remains uncertain whether the potential for adrenocortical suppression with etomidate may increase morbidity. Objective T…
View article: Fully Adaptive Framework: Neural Computerized Adaptive Testing for Online Education
Fully Adaptive Framework: Neural Computerized Adaptive Testing for Online Education Open
Computerized Adaptive Testing (CAT) refers to an efficient and personalized test mode in online education, aiming to accurately measure student proficiency level on the required subject/domain. The key component of CAT is the "adaptive" qu…
View article: Privileged Graph Distillation for Cold Start Recommendation
Privileged Graph Distillation for Cold Start Recommendation Open
The cold start problem in recommender systems is a long-standing challenge, which requires recommending to new users (items) based on attributes without any historical interaction records. In these recommendation systems, warm users (items…
View article: Quality meets Diversity: A Model-Agnostic Framework for Computerized Adaptive Testing
Quality meets Diversity: A Model-Agnostic Framework for Computerized Adaptive Testing Open
Computerized Adaptive Testing (CAT) is emerging as a promising testing application in many scenarios, such as education, game and recruitment, which targets at diagnosing the knowledge mastery levels of examinees on required concepts. It s…
View article: A Novel Pigeon‐Inspired Optimized RBF Model for Parallel Battery Branch Forecasting
A Novel Pigeon‐Inspired Optimized RBF Model for Parallel Battery Branch Forecasting Open
Battery energy storage is the pivotal project of renewable energy systems reform and an effective regulator of energy flow. Parallel battery packs can effectively increase the capacity of battery modules. However, the power loss caused by …
View article: Multisystem Optimization for an Integrated Production Scheduling with Resource Saving Problem in Textile Printing and Dyeing
Multisystem Optimization for an Integrated Production Scheduling with Resource Saving Problem in Textile Printing and Dyeing Open
Resource saving has become an integral aspect of manufacturing in industry 4.0. This paper proposes a multisystem optimization (MSO) algorithm, inspired by implicit parallelism of heuristic methods, to solve an integrated production schedu…
View article: SWIPENET: Object detection in noisy underwater images
SWIPENET: Object detection in noisy underwater images Open
In recent years, deep learning based object detection methods have achieved promising performance in controlled environments. However, these methods lack sufficient capabilities to handle underwater object detection due to these challenges…
View article: Context-Aware Mouse Behavior Recognition Using Hidden Markov Models
Context-Aware Mouse Behavior Recognition Using Hidden Markov Models Open
Automated recognition of mouse behaviors is crucial in studying psychiatric and neurologic diseases. To achieve this objective, it is very important to analyze the temporal dynamics of mouse behaviors. In particular, the change between mou…
View article: A Multipopulation-Based Multiobjective Evolutionary Algorithm
A Multipopulation-Based Multiobjective Evolutionary Algorithm Open
Multipopulation is an effective optimization component often embedded into evolutionary algorithms to solve optimization problems. In this paper, a new multipopulation-based multiobjective genetic algorithm (MOGA) is proposed, which uses a…
View article: Multipopulation Management in Evolutionary Algorithms and Application to Complex Warehouse Scheduling Problems
Multipopulation Management in Evolutionary Algorithms and Application to Complex Warehouse Scheduling Problems Open
Multipopulation is an effective optimization strategy which is often used in evolutionary algorithms (EAs) to improve optimization performance. However, it is of remarkable difficulty to determine the number of subpopulations during the ev…
View article: Constrained Benchmark Functions
Constrained Benchmark Functions Open
Constrained Benchmark FunctionsA constrained optimization problem involves the minimization of ( ), where Γ is the feasible set and n is the problem dimension. We use *x to represent the optimizing value of x , and ( ) * f x is the constra…