Trường Đại học Công nghệ Thông tin, Đại học Quốc gia Thành phố Hồ Chí Minh

Công bố khoa học tiêu biểu

Sắp xếp:  
A Modified Semi-parametric Regression Model For Flood Forecasting
Tuan Hoang Le, Dung Anh To
In recent years, inundation, one of natural calamities, occurs frequently and fiercely. We are sustained severe losses in the floods every year. Therefore, the development of control methods to determine, analyze, model and predict the floods is indispensable and urgent. In this paper, we propose a justified semiparametric regression model for flood water levels forecasting. The new model has thre...... hiện toàn bộ
VLSP 2021-ViMRC Challenge: Vietnamese Machine Reading Comprehension
Nguyen Luu Thuy Ngan, Huynh Van Tin, Nguyen Van Kiet, Nguyen Thanh Luan, Luu Thanh Son
One of the emerging research trends in natural language understanding is machine reading comprehension (MRC) which is the task to find answers to human questions based on textual data. While many datasets have been developed for MRC research for other languages, there is a lack of such resources for the Vietnamese language. Although many datasets and methodologies have been developed for English a...... hiện toàn bộ
A TRANSFORMATION METHOD FOR ASPECT-BASED SENTIMENT ANALYSIS
Thin Van Dang
Along with the explosion of user reviews on the Internet, sentiment analysis has becomeone of the trending research topics in the field of natural language processing. In the last five years,many shared tasks were organized to keep track of the progress of sentiment analysis for various lan-guages. In the Fifth International Workshop on Vietnamese Language and Speech Processing (VLSP2018), the Sen...... hiện toàn bộ
#sentiment analysis #aspect-based sentiment analysis #natural language processing #text analysis
An integrated model for discovering, classifying and labeling topics based on topic modeling
Phuc Do, Thanh Ho
In this paper, we propose an integrated model for discovering, classifying and labeling topics of messages based on topic modeling to analyze and understand the topics of the messages posted by users on social networks. In which, the method of labeling is executed by machine learning on the training data and ontology. The ontology is created in the field of higher education. All parts of model are...... hiện toàn bộ
STOCHASTIC CALCULUS WITH HERMITE TYPE PROCESSES
Duong Ton Dam
Hermite type stochastic processes are the indespensable core resulting from the well – matched couple of Wiener stochastic process and Hermite polynomials. They will construct an orthogonal base of stochastic processses space. The paper emphatically looks at bona fide nature of Ito integral and stochastic differential equations compared with those of Hermite type stochastic processes.
ITÔ – HERMITE RANDOM PROCESS
Dam Ton Duong, Hao Ngoc Duong
In this paper, we study some properties of Itô-Hermite random process which are necessary to study Malliavin calculus. Main results are in the following theorems:
Optimality conditions for set-valued optimization problems via scalarization function
Thi Thanh Truc Nguyen, Dinh Huy Nguyen, Manh Linh Ha
One of the most important and popular topics in optimization problems is to find its optimal solutions, especially Pareto optimal points, a well-known solution introduced in multi-objective optimization. This topic is one of the oldest challenges in many issues related to science, engineering and other fields. Many important practical-problems in science and engineering can be expressed in terms o...... hiện toàn bộ
DATA AUGMENTATION ANALYSIS OF VEHICLE DETECTION IN AERIAL IMAGES
Khang Nguyen
Drones are increasingly used in various application domains including surveillance, agriculture, delivery, search and rescue missions. Object detection in aerial images (captured by drones) gradually gains more interest in computer vision community. However, research activities are still very few in this area due to numerous challenges such as top-view angle, small-scale object, diverse directions...... hiện toàn bộ
#drone #object detection #vehicle detection #data augmentation
Một mô hình hệ thống e-learning dựa trên đa tác tử
Van Nhon Do, Tran Minh Khue Nguyen
Bài báo nhằm xây dựng một mô hình hệ thống E-Learning dựa trên đa tác tử, bao gồm: xây dựng các thành phần cùng với các nguyên lý và quá trình làm việc của chúng, quản lý các tác tử và giao tiếp giữa các tác tử, cung cấp môi trường và cơ chế để thiết kế và truy vấn cơ sở tri thức phân tán. Chúng tôi đã áp dụng mô hình này trong lĩnh vực hình học phẳng.
#Multi-Agent #E-Learning System #Knowledge Base #Knowledge representation
Tổng số: 46   
  • 1
  • 2
  • 3
  • 4
  • 5