Results 91 to 100 of about 13,047 (256)

Latent Dirichlet Allocation in Generative Adversarial Networks

CoRR, 2018
We study the problem of multimodal generative modelling of images based on generative adversarial networks (GANs). Despite the success of existing methods, they often ignore the underlying structure of vision data or its multimodal generation characteristics.
Lili Pan 0001, Shen Cheng, Jian Liu, Yazhou Ren 0001, Zenglin Xu   +4 more
openaire   +2 more sources

A Country That Never Sleeps? A Web Scrapping Analysis of the 24‐h Economy Policy in Ghana

Thunderbird International Business Review, EarlyView.
ABSTRACT In light of revitalizing Ghana's economic landscape through sustainable job creation underpinned by 24‐h operations across all key sectors, the National Democratic Congress proposed the ‘24‐h economy’ policy proposal. This study employs the web‐scraping technique through text mining and python codes to analyse 1820 comments from Facebook, X ...
Pius Gamette, Eric Shynada Loglo, Francis Tawiah Anaisie, Simplice A. Asongu   +3 more
wiley   +1 more source

Latent Beta-Liouville Probabilistic Modeling for Bursty Topic Discovery in Textual Data

Proceedings of the International Florida Artificial Intelligence Research Society Conference
Topic modeling has become a fundamental technique for uncovering latent thematic structures within large collections of textual data. However, conventional models often struggle to capture the burstiness of topics.
Shadan Ghadimi, Hafsa Ennajari, Nizar Bouguila   +2 more
doaj   +1 more source

Investigating SME‐Inclusive Public‐Private AI Innovation Network: Evidence From U.S. Small Business Administration (1991–2023)

Thunderbird International Business Review, EarlyView.
ABSTRACT Understanding innovation policy is pivotal to enhancing national competitiveness for global value chain. This research investigates an SME‐Inclusive public‐private AI innovation network over time in the U.S. context (1991–2023), revealing how a government's demand‐based innovation policy bolsters technological prowess through isomorphism and ...
Jiyoon An
wiley   +1 more source

FL‐Offshore: A Federated Learning Framework for Predictive Maintenance in Brazilian Offshore Production Scenario

Artificial Intelligence for Engineering, EarlyView.
ABSTRACT Offshore oil production in Brazil relies on Floating Production Storage and Offloading (FPSO) units, where failures in rotating machinery motivate machine learning–based predictive maintenance. Centralised training is impractical due to privacy constraints, heterogeneous and highly imbalanced local datasets and unreliable satellite ...
Lucas M. Almeida, Allan S. Borges, Gustavo B. B. Figueiredo, Edson M. Cruz, Eric B. C. Barros, Maycon L. M. Peixoto   +5 more
wiley   +1 more source

Profiling heterogeneity of Alzheimer's disease using white-matter impairment factors

NeuroImage: Clinical, 2018
The clinical presentation of Alzheimer's disease (AD) is not unitary as heterogeneity exists in the disease's clinical and anatomical characteristics. MRI studies have revealed that heterogeneous gray matter atrophy patterns are associated with specific ...
Xiuchao Sui, Jagath C. Rajapakse
doaj   +1 more source

Explicit versus Latent Concept Models for Cross-Language Information Retrieval

, 2009
Cimiano P, Schultz A, Sizov S, Sorg P, Staab S. Explicit versus Latent Concept Models for Cross-Language Information Retrieval. In: Boutilier C, ed. IJCAI 2009, Proceedings of the 21st International Joint Conference on Artificial Intelligence. Menlo Park,
Sizov, Sergej, Staab, Steffen, Sorg, Philipp, Cimiano, Philipp ; https://orcid.org/, Schultz, Antje, Boutilier, Craig   +5 more
core  

Mitigating Disability Bias in Hiring: The Role of Inclusion‐Focused Generative AI in Complex HR Decisions

Human Resource Management Journal, EarlyView.
ABSTRACT This research investigates how inclusion‐focused generative AI (GAI), designed with diversity, fairness, and inclusion principles, mitigates disability bias in hiring—particularly under complex, cognitively demanding conditions. Drawing on Construal Level Theory, two experiments with HR professionals (N = 117; 238) compared standard, inclusion‐
Miles M. Yang
wiley   +1 more source

Interactive content analysis : evaluating interactive variants of non-negative Matrix Factorisation and Latent Dirichlet Allocation as qualitative content analysis aids

, 2014
This thesis addressed issues that have prevented qualitative researchers from using thematic discovery algorithms. The central hypothesis evaluated whether allowing qualitative researchers to interact with thematic discovery algorithms and incorporate ...
Bakharia, Aneesha
core  

Analisis Sentimen Multi-Aspek terhadap Ulasan Pengguna Aplikasi M-Pajak Menggunakan Model IndoBERT

Techno.Com
Aplikasi M-Pajak menghadapi tantangan dalam evaluasi layanan akibat banyaknya ulasan tidak terstruktur. Penelitian ini bertujuan untuk menganalisis sentimen multi-aspek menggunakan model Deep Learning berbasis arsitektur IndoBERT yang dioptimalkan dengan
Hansen Utomo Gunawan, Fergie Joanda Kaunang   +1 more
doaj   +1 more source