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06/12/2023
AI-Generated Image Detection using a Cross-Attention Enhanced Dual-Stream Network
With the rapid evolution of AI Generated Content (AIGC), forged images p...
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02/14/2023
Enhancing Deep Knowledge Tracing with Auxiliary Tasks
Knowledge tracing (KT) is the problem of predicting students' future per...
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02/14/2023
Improving Interpretability of Deep Sequential Knowledge Tracing Models with Question-centric Cognitive Representations
Knowledge tracing (KT) is a crucial technique to predict students' futur...
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02/14/2023
simpleKT: A Simple But Tough-to-Beat Baseline for Knowledge Tracing
Knowledge tracing (KT) is the problem of predicting students' future per...
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07/13/2022
Wide Deep Learning for Judging Student Performance in Online One-on-one Math Classes
In this paper, we investigate the opportunities of automating the judgme...
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07/07/2022
Dual Stream Computer-Generated Image Detection Network Based On Channel Joint And Softpool
With the development of computer graphics technology, the images synthes...
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06/24/2022
SC-Ques: A Sentence Completion Question Dataset for English as a Second Language Learners
Sentence completion (SC) questions present a sentence with one or more b...
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06/24/2022
DialogID: A Dialogic Instruction Dataset for Improving Teaching Effectiveness in Online Environments
Online dialogic instructions are a set of pedagogical instructions used ...
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06/23/2022
A Design of A Simple Yet Effective Exercise Recommendation System in K-12 Online Learning
We propose a simple but effective method to recommend exercises with hig...
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06/23/2022
pyKT: A Python Library to Benchmark Deep Learning based Knowledge Tracing Models
Knowledge tracing (KT) is the task of using students' historical learnin...
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11/24/2021
Universal Deep Network for Steganalysis of Color Image based on Channel Representation
Up to now, most existing steganalytic methods are designed for grayscale...
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09/29/2021
Improved Xception with Dual Attention Mechanism and Feature Fusion for Face Forgery Detection
With the rapid development of deep learning technology, more and more fa...
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05/09/2021
Reinforcement Learning with Expert Trajectory For Quantitative Trading
In recent years, quantitative investment methods combined with artificia...
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05/16/2020
DAMIA: Leveraging Domain Adaptation as a Defense against Membership Inference Attacks
Deep Learning (DL) techniques allow ones to train models from a dataset ...
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02/26/2020
Peripheral-free Device Pairing by Randomly Switching Power
The popularity of Internet-of-Things (IoT) comes with security concerns....
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12/09/2019
Universal Stego Post-processing for Enhancing Image Steganography
It is well known that the modern steganography methods are designed unde...
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10/16/2019
Long Optimal or Small-Defect LRC Codes with Unbounded Minimum Distances
A code over a finite field is called locally recoverable code (LRC) if e...
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10/16/2019
Long Optimal LRC Codes with Unbounded Localities and Unbounded Minimum Distances
A code over a finite field is called locally recoverable code (LRC) if e...
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09/17/2019
Enhancing JPEG Steganography using Iterative Adversarial Examples
Convolutional Neural Networks (CNN) based methods have significantly imp...
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09/08/2019
Onionchain: Towards Balancing Privacy and Traceability of Blockchain-Based Applications
With the popularity of Blockchain comes grave security-related concerns....
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09/09/2017
Image Processing Operations Identification via Convolutional Neural Network
In recent years, image forensics has attracted more and more attention, ...
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07/25/2017