184 Result(s)
within
English
Computer Science
Data Mining and Knowledge Discovery
M. **gliang
Conference Paper
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Chapter and Conference Paper
Empowering Legal Citation Recommendation via Efficient Instruction-Tuning of Pre-trained Language Models
The escalating volume of cases in legal adjudication has amplified the complexity of citing relevant regulations and authoritative cases, posing an increasing challenge for legal professionals. Current legal c...
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Chapter and Conference Paper
RF-Based Drone Detection with Deep Neural Network: Review and Case Study
Drones have been widely used in many application scenarios, such as logistics and on-demand instant delivery, surveillance, traffic monitoring, firefighting, photography, and recreation. On the other hand, the...
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Chapter and Conference Paper
The Death Process in Italy Before and During the Covid-19 Pandemic: A Functional Compositional Approach
In this talk, based on [1], we propose a spatio-temporal analysis of daily death counts in Italy, collected by ISTAT (Italian Statistical Institute), in Italian provinces and municipalities. While in [1] the f...
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Chapter and Conference Paper
Ensuring Fairness of Human- and AI-Generated Test Items
Large language models (LLMs) have been a catalyst for the increased use of AI for automatic item generation on high-stakes assessments. Standard human review processes applied to human-generated content are al...
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Chapter and Conference Paper
Towards a Cash-on-Delivery Management Solution Based on Blockchain, Smart Contracts, and NFT
The demand for transporting goods is increasingly diversified, it is associated with the economic development needs of a country. For domestic (eg, Cash-on-delivery - CoD) or international (eg, Letter-of-Credi...
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Chapter and Conference Paper
Help Seekers vs. Help Accepters: Understanding Student Engagement with a Mentor Agent
Help from virtual pedagogical agents has the potential to improve student learning. Yet students often do not seek help when they need it, do not use help effectively, or ignore the agent’s help altogether. Th...
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Chapter and Conference Paper
Blood and Blood Products Management System Based on Blockchain, and NFT Technologies
Nowadays, the need to use blood and its products for the treatment and diagnosis of diseases is increasing. At present, no method can replace blood and its products in the treatment method - the only solution ...
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Chapter and Conference Paper
Enabling PII Discovery in Textual Data via Outlier Detection
Discovering Personal Identifying Information (PII) in textual data is an important pre-processing step to enabling privacy preserving data analytics. One approach to PII discovery in textual data is to charact...
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Chapter and Conference Paper
Bookending ARFIS: The Development, Final Results, and Current State of the Academic Reading Format International Study
The Academic Reading Format International Study (ARFIS) is the largest study conducted to date on tertiary students’ reading format preferences and behaviors
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Chapter and Conference Paper
Simple Storage-Saving Structure for Volume-Hiding Encrypted Multi-maps
Severe consequences in volume leakage (subject to the conditions required by specific attacks) stimulate a new research direction (Eurocrypt 2019) of volume-hiding structured encryption (
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Chapter and Conference Paper
Estimating the Effective Topics of Articles and Journals Abstract Using LDA and K-Means Clustering Algorithm
Analyzing journals and articles abstract text or documents using topic modeling and text clustering becomes modern solutions for the increasing number of text documents. Topic modeling and text clustering are ...
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Chapter and Conference Paper
Stargazing in the Dark: Secure Skyline Queries with SGX
Skylining for multi-criteria decision making is widely applicable and often involves sensitive data that should be encrypted, especially when the database and query engine are outsourced to an untrusted cloud ...
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Chapter and Conference Paper
Biomedical Text Recognition Using Convolutional Neural Networks: Content Based Deep Learning
Named Entity Recognition (NER) targets to automatically detect the drug and disease mentions from biomedical texts and is fundamental step in the biomedical text mining. Although deep learning has been success...
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Chapter and Conference Paper
Optimal Rating Prediction in Recommender Systems
Recommendation systems are best choice to cope with the problem of information overload. These systems are commonly used in recent years help to match users with different items. The increasing amount of avai...
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Chapter and Conference Paper
Increasing the Efficiency of GPU Bitmap Index Query Processing
Once exotic, computational accelerators are now commonly available in many computing systems. Graphics processing units (GPUs) are perhaps the most frequently encountered computational accelerators. Recent wor...
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Chapter and Conference Paper
Application of Convolutional Neural Network in Segmenting Brain Regions from MRI Data
Extracting knowledge from digital images largely depends on how well the mining algorithms can focus on specific regions of the image. In multimodality image analysis, especially in multi-layer diagnostic imag...
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Chapter and Conference Paper
Automatically Generate Hymns Using Variational Attention Models
Building an intelligent system for automatically composing music like human beings has been actively investigated during the last decade. In this work, we propose a new approach for automatically creating hymn...
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Chapter and Conference Paper
Detecting Neurodegenerative Disease from MRI: A Brief Review on a Deep Learning Perspective
Rapid development of high speed computing devices and infrastructure along with improved understanding of deep machine learning techniques during the last decade have opened up possibilities for advanced analy...
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Chapter and Conference Paper
Emotion Recognition in a Conversational Context
The recent trends in Artificial Intelligence (AI) are all pointing towards the singularity, i.e., the day the true AI is born, which can pass the Turing Test. However, to achieve singularity, AI needs to under...
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Chapter and Conference Paper
Evaluation Methods of Hierarchical Models
In this paper, we consider the problem of evaluating the quality of hierarchical models. This task arises due to the current researchers use subjective evaluation, such as a survey to test the goodness of a hi...
