Results 21 to 30 of about 3,279,388 (174)

Knowledge-aware Complementary Product Representation Learning

, 2019
Learning product representations that reflect complementary relationship plays a central role in e-commerce recommender system. In the absence of the product relationships graph, which existing methods rely on, there is a need to detect the complementary
Koren Yehuda, Le Quoc, Papagelis Manos, Recht Benjamin, Rendle Steffen, Soboroff Ian, Wainwright Martin J   +6 more
core   +1 more source

Assessing the adversarial robustness of multimodal medical AI systems: insights into vulnerabilities and modality interactions

Frontiers in Medicine
The emergence of both task-specific single-modality models and general-purpose multimodal large models presents new opportunities, but also introduces challenges, particularly regarding adversarial attacks.
Ekaterina Mozhegova, Asad Masood Khattak, Adil Khan, Roman Garaev, Bader Rasheed, Muhammad Shahid Anwar   +5 more
doaj   +1 more source

Metaheuristics for the Minimum Time Cut Path Problem with Different Cutting and Sliding Speeds

Algorithms, 2021
The problem of efficiently cutting smaller two-dimensional pieces from a larger surface is recurrent in several manufacturing settings. This problem belongs to the domain of cutting and packing (C&P) problems.
Bonfim Amaro Junior, Marcio Costa Santos, Guilherme Nepomuceno de Carvalho, Luiz Jonatã Pires de Araújo, Placido Rogerio Pinheiro   +4 more
doaj   +1 more source

PERANCANGAN MODEL REPRESENTASI PENGETAHUAN BERBASIS ONTOLOGI PADA APLIKASI SIPELANTIK: STUDI KASUS PUSINTEK KEMENTERIAN KEUANGAN

Jurnal Sistem Informasi, 2015
In supporting the implementation of ICT service management, Pusat Sistem Informasi dan Teknologi Keuangan (Pusintek) already have the Sistem Pengelolaan Layanan Teknologi Informasi dan Komunikasi (Sipelantik) application.
Andrianto Susilo, Putu Wuri Handayani, Iik Wilarso   +2 more
doaj   +3 more sources

Bio-Inspired Approaches to Safety and Security in IoT-Enabled Cyber-Physical Systems

Sensors, 2020
Internet of Things (IoT) and Cyber-Physical Systems (CPS) have profoundly influenced the way individuals and enterprises interact with the world. Although attacks on IoT devices are becoming more commonplace, security metrics often focus on software ...
Anju P. Johnson, Hussain Al-Aqrabi, Richard Hill   +2 more
doaj   +1 more source

Involvement of NRF2 in Breast Cancer and Possible Therapeutical Role of Polyphenols and Melatonin

Molecules, 2021
Oxidative stress is defined as a disturbance in the prooxidant/antioxidant balance in favor of the former and a loss of control over redox signaling processes, leading to potential biomolecular damage.
Alev Tascioglu Aliyev, Emiliano Panieri, Višnja Stepanić, Hande Gurer-Orhan, Luciano Saso   +4 more
doaj   +1 more source

Pictorial Representation And Moral Knowledge [PDF]

, 2004
The idea that pictorial art can have cognitive value, that it can enhance our understanding of the world and of our own selves, has had many advocates in art theory and philosophical aesthetics alike.
Bantinaki, Katerina
core  

Modeling Relation Paths for Representation Learning of Knowledge Bases [PDF]

, 2015
Representation learning of knowledge bases (KBs) aims to embed both entities and relations into a low-dimensional space. Most existing methods only consider direct relations in representation learning.
Lin, Yankai, Liu, Song, Liu, Zhiyuan, Luan, Huanbo, Rao, Siwei, Sun, Maosong   +5 more
core   +2 more sources

Knowledge representation for basic visual categories [PDF]

, 1985
This paper reports work on a model of machine learning which is based on the psychological theory of prototypical concepts. This theory is that concepts learnt naturally from interaction with the environment (basic categories) are not structured or ...
Musgrove, P B, Phelps, R I
core  

Representation Learning of Knowledge Graphs via Fine-Grained Relation Description Combinations

IEEE Access, 2019
Knowledge representation learning attempts to represent entities and relations of knowledge graph in a continuous low-dimensional semantic space. However, most of the existing methods such as TransE, TransH, and TransR usually only utilize triples of ...
Ming He, Xiangkun Du, Bo Wang
doaj   +1 more source