Results 61 to 70 of about 509,299 (294)

Integration of Neural Embeddings and Probabilistic Models in Topic Modeling

Applied Artificial Intelligence
Topic modeling, a way to find topics in large volumes of text, has grown with the help of deep learning. This paper presents two novel approaches to topic modeling by integrating embeddings derived from Bert-Topic with the multi-grain clustering topic ...
Pantea Koochemeshkian, Nizar Bouguila
doaj   +1 more source

Enhanced Fault Diagnosis Method for Tractors Using Random Forest Algorithm [PDF]

Advances in Engineering and Intelligence Systems
In this study, we initially introduce a robust method to categorize large groups of educators into distinct communities, termed "genres," based on their shared instructional preferences.
Milad Mohebbi, Yalda Mohebbi
doaj   +1 more source

A synthetic benzoxazine dimer derivative targets c‐Myc to inhibit colorectal cancer progression

Molecular Oncology, EarlyView.
Benzoxazine dimer derivatives bind to the bHLH‐LZ region of c‐Myc, disrupting c‐Myc/MAX complexes, which are evaluated from SAR analysis. This increases ubiquitination and reduces cellular c‐Myc. Impairing DNA repair mechanisms is shown through proteomic analysis.
Nicharat Sriratanasak, Bodee Nutho, Worawat Wattanathana, Narumon Phaonakrop, Bunnatut Panasawatwong, Katharina Erlenbach‐Wuensch, Sittiruk Roytrakul, Regine Schneider‐Stock, Pithi Chanvorachote   +8 more
wiley   +1 more source

Topic Modeling by Clustering Language Model Embeddings: Human Validation on an Industry Dataset [PDF]

, 2022
Anton Eklund, Mona Forsman
openalex   +1 more source

Patient‐specific pharmacogenomics demonstrates xCT as predictive therapeutic target in colon cancer with possible implications in tumor connectivity

Molecular Oncology, EarlyView.
This study integrates transcriptomic profiling of matched tumor and healthy tissues from 32 colorectal cancer patients with functional validation in patient‐derived organoids, revealing dysregulated metabolic programs driven by overexpressed xCT (SLC7A11) and SLC3A2, identifying an oncogenic cystine/glutamate transporter signature linked to ...
Marco Strecker, Keren Zohar, Martin Böttcher, Thomas Wartmann, Henry Freudenstein, Maximilian Doelling, Mihailo Andric, Wenjie Shi, Or Kakhlon, Katrin Hippe, Beatrix Jahnke, Dimitrios Mougiakakos, Franziska Baenke, Daniel Stange, Roland S. Croner, Michal Linial, Ulf D. Kahlert   +16 more
wiley   +1 more source

Statistically validated network for analysing textual data

Applied Network Science
This paper presents a novel methodology, called Word Co-occurrence SVN topic model (WCSVNtm), for document clustering and topic modeling in textual datasets.
Andrea Simonetti, Alessandro Albano, Michele Tumminello, T. Di Matteo   +3 more
doaj   +1 more source

A New Dataset for Topic-Based Paragraph Classification in Genocide-Related Court Transcripts [PDF]

, 2022
Miriam Schirmer, Udo Kruschwitz, Gregor Donabauer   +2 more
openalex   +1 more source

Collaborative Summarization of Topic-Related Videos

, 2017
Large collections of videos are grouped into clusters by a topic keyword, such as Eiffel Tower or Surfing, with many important visual concepts repeating across them. Such a topically close set of videos have mutual influence on each other, which could be
Panda, Rameswar, Roy-Chowdhury, Amit K.
core   +1 more source

Predictors of response and rational combinations for the novel MCL‐1 inhibitor MIK665 in acute myeloid leukemia

Molecular Oncology, EarlyView.
This study characterizes the responses of primary acute myeloid leukemia (AML) patient samples to the MCL‐1 inhibitor MIK665. The results revealed that monocytic differentiation is associated with MIK665 sensitivity. Conversely, elevated ABCB1 expression is a potential biomarker of resistance to the treatment, which can be overcome by the combination ...
Joseph Saad, Rhiannon Newman, Elmira Khabusheva, Sofia Aakko, Eric Durand, Mahesh Tambe, Heikki Kuusanmäki, Alun Parsons, Juho J. Miettinen, Komal Kumar Javarappa, Ezgi June Olgac, Nemo Ikonen, Mika Kontro, Kimmo Porkka, Heiko Maacke, Janghee Woo, Ensar Halilovic, Caroline A. Heckman   +17 more
wiley   +1 more source

Zero-Shot Stance Detection: A Dataset and Model using Generalized Topic\n Representations [PDF]

, 2020
Emily Allaway, Kathleen McKeown
openalex   +1 more source