Zobrazeno 1 - 10
of 176
pro vyhledávání: '"Tran, Trung Kien"'
Autor:
Zhu, Yuqicheng, Potyka, Nico, Xiong, Bo, Tran, Trung-Kien, Nayyeri, Mojtaba, Kharlamov, Evgeny, Staab, Steffen
Statistical information is ubiquitous but drawing valid conclusions from it is prohibitively hard. We explain how knowledge graph embeddings can be used to approximate probabilistic inference efficiently using the example of Statistical EL (SEL), a s
Externí odkaz:
http://arxiv.org/abs/2407.11821
Autor:
Daza, Daniel, Chu, Cuong Xuan, Tran, Trung-Kien, Stepanova, Daria, Cochez, Michael, Groth, Paul
Similarity search is a fundamental task for exploiting information in various applications dealing with graph data, such as citation networks or knowledge graphs. While this task has been intensively approached from heuristics to graph embeddings and
Externí odkaz:
http://arxiv.org/abs/2407.07639
Autor:
Yuan, Jicheng, Le-Tuan, Anh, Nguyen-Duc, Manh, Tran, Trung-Kien, Hauswirth, Manfred, Le-Phuoc, Danh
The availability of vast amounts of visual data with heterogeneous features is a key factor for developing, testing, and benchmarking of new computer vision (CV) algorithms and architectures. Most visual datasets are created and curated for specific
Externí odkaz:
http://arxiv.org/abs/2309.13610
Autor:
Vo Van Giau, Tran Trung Kien, Tran Van Thanh, Tran Thi Hieu, Nguyen Thi Phuong Thao, Le Thanh Son, Hans Schnitzer, Tran Le Luu, Le Thanh Hai
Publikováno v:
Energy, Sustainability and Society, Vol 14, Iss 1, Pp 1-16 (2024)
Abstract Background Reducing energy consumption and greenhouse gas emissions is a crucial issue in the cassava starch processing industry. In this study, the integrated system combining livestock, cassava cultivation and cassava production in the sam
Externí odkaz:
https://doaj.org/article/5f86e169c7234a7887091a4e2a0d791f
Autor:
Yan Zhang, Zien Wang, Yu Lu, David J. Sanchez, Jiaojiao Li, Linghao Wang, Xiaoxue Meng, Jianjun Chen, Tran Trung Kien, Ming Zhong, Wei‐Qiang Gao, Xianting Ding
Publikováno v:
Advanced Science, Vol 11, Iss 29, Pp n/a-n/a (2024)
Abstract The colon is the largest compartment of the immune system, with innate immune cells exposed to antigens in the environment. However, the mechanisms by which the innate immune system is instigated are poorly defined in colorectal cancer (CRC)
Externí odkaz:
https://doaj.org/article/2348b0e59b234b3884408aef02f99bab
Autor:
Le-Tuan, Anh, Nguyen-Duc, Manh, Le, Chien-Quang, Tran, Trung-Kien, Hauswirth, Manfred, Eiter, Thomas, Le-Phuoc, Danh
Publikováno v:
Stream Reasoning Workshop 2021
We present CQELS 2.0, the second version of Continuous Query Evaluation over Linked Streams. CQELS 2.0 is a platform-agnostic federated execution framework towards semantic stream fusion. In this version, we introduce a novel neural-symbolic stream r
Externí odkaz:
http://arxiv.org/abs/2202.13958
Recently, increasing efforts are put into learning continual representations for symbolic knowledge bases (KBs). However, these approaches either only embed the data-level knowledge (ABox) or suffer from inherent limitations when dealing with concept
Externí odkaz:
http://arxiv.org/abs/2201.09919
Publikováno v:
NeurIPS Data-Centric AI Workshop 2021
It is commonly acknowledged that the availability of the huge amount of (training) data is one of the most important factors for many recent advances in Artificial Intelligence (AI). However, datasets are often designed for specific tasks in narrow A
Externí odkaz:
http://arxiv.org/abs/2201.05026
Autor:
Nguyen Thi Phuong Thao, Nguyen Le Minh Tri, Tran Trung Kien, Tra Van Tung, Tran Thi Hieu, Nguyen Viet Thang, Le Thanh Son, Tran Le Luu, Hans Schnitzer, Hai Le Thanh
Publikováno v:
Heliyon, Vol 10, Iss 5, Pp e26783- (2024)
In this study, we investigated the possibility of a photocatalytic system that uses graphene-quantum-dot (GQD)-deposited graphitic carbon nitride (g-C3N4) to treat tetracycline (TC) and other organic compounds generated from an in-situ-recirculatory-
Externí odkaz:
https://doaj.org/article/b4f3aaa2eb954888b82dc6e797dfdd0b
Current methods for embedding-based query answering over incomplete Knowledge Graphs (KGs) only focus on inductive reasoning, i.e., predicting answers by learning patterns from the data, and lack the complementary ability to do deductive reasoning, w
Externí odkaz:
http://arxiv.org/abs/2106.14052