Results 51 to 60 of about 988,863 (326)

Multi-Machine Gaussian Topic Modeling for Predictive Maintenance

open access: yesIEEE Access, 2021
In this paper, we propose a coherent framework for multi-machine analysis, using a group clustering model, which can be utilized for predictive maintenance (PdM). The framework benefits from the repetitive structure posed by multiple machines and enables
Alexander Karlsson   +2 more
doaj   +1 more source

Discriminative Relational Topic Models [PDF]

open access: yesIEEE Transactions on Pattern Analysis and Machine Intelligence, 2015
Many scientific and engineering fields involve analyzing network data. For document networks, relational topic models (RTMs) provide a probabilistic generative process to describe both the link structure and document contents, and they have shown promise on predicting network structures and discovering latent topic representations.
Chen, Ning   +3 more
openaire   +3 more sources

A Quality Improvement Initiative to Standardize Pneumocystis jirovecii Pneumonia Prophylaxis in Pediatric Patients With Solid Tumors

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Pediatric patients with extracranial solid tumors (ST) receiving chemotherapy are at an increased risk for Pneumocystis jirovecii pneumonia (PJP). However, evidence guiding prophylaxis practices in this population is limited. A PJP‐related fatality at our institution highlighted inconsistent prescribing approaches and concerns about
Kriti Kumar   +8 more
wiley   +1 more source

Systematic Literature Review of Topic Labeling

open access: yesIEEE Access
The rapid growth of textual data on the web has led researchers to develop methods in Natural Language Processing (NLP) to process, understand, and identify topics.
Salma Mekaoui   +3 more
doaj   +1 more source

Ordering-sensitive and Semantic-aware Topic Modeling

open access: yes, 2015
Topic modeling of textual corpora is an important and challenging problem. In most previous work, the "bag-of-words" assumption is usually made which ignores the ordering of words.
Cui, Tianyi, Tu, Wenting, Yang, Min
core   +2 more sources

ATM: Adversarial-neural Topic Model [PDF]

open access: yesInformation Processing & Management, 2019
Published at the journal Information Processing & ...
Wang, Rui, Zhou, Deyu, He, Yulan
openaire   +2 more sources

Sickle Cell Disease Is an Inherent Risk for Asthma in a Sibling Comparison Study

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Introduction Sickle cell disease (SCD) and asthma share a complex relationship. Although estimates vary, asthma prevalence in children with SCD is believed to be comparable to or higher than the general population. Determining whether SCD confers an increased risk for asthma remains challenging due to overlapping symptoms and the ...
Suhei C. Zuleta De Bernardis   +9 more
wiley   +1 more source

Topic Modeling Based Multi-modal Depression Detection

open access: yes, 2017
Major depressive disorder is a common mental disorder that affects almost 7% of the adult U.S. population. The 2017 Audio/Visual Emotion Challenge (AVEC) asks participants to build a model to predict depression levels based on the audio, video, and text ...
Gong, Yuan, Poellabauer, Christian
core   +1 more source

When Topic Models Disagree [PDF]

open access: yesProceedings of the 24th International Conference on World Wide Web, 2015
We explore how the unsupervised extraction of topic-related keywords benefits from combining multiple topic models. We show that averaging multiple topic models, inferred from different corpora, leads to more accurate keyphrases than when using a single topic model and other state-of-the-art techniques. The experiments confirm the intuitive idea that a
Sterckx, Lucas   +3 more
openaire   +2 more sources

Psychosocial Outcomes in Patients With Endocrine Tumor Syndromes: A Systematic Review

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Introduction The combination of disease manifestations, the familial burden, and varying penetrance of endocrine tumor syndromes (ETSs) is unique. This review aimed to portray and summarize available data on psychosocial outcomes in patients with ETSs and explore gaps and opportunities for future research and care.
Daniël Zwerus   +6 more
wiley   +1 more source

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