Results 41 to 50 of about 152,300 (264)
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 +16 more
wiley +1 more source
Convergence of Learning Dynamics in Information Retrieval Games
, 2019 We consider a game-theoretic model of information retrieval with strategic authors. We examine two different utility schemes: authors who aim at maximizing exposure and authors who want to maximize active selection of their content (i.e.
Ben-Porat, Omer +2 more
core +1 more source
Combination of content analysis and context features for digital photograph retrieval. [PDF]
, 2005 In recent years digital cameras have seen an enormous rise in popularity, leading to a huge increase in the quantity of digital photos being taken. This brings with it the challenge of organising these large collections.
Gurrin, Cathal +3 more
core +1 more source
Aggressive prostate cancer is associated with pericyte dysfunction
Molecular Oncology, EarlyView.Tumor‐produced TGF‐β drives pericyte dysfunction in prostate cancer. This dysfunction is characterized by downregulation of some canonical pericyte markers (i.e., DES, CSPG4, and ACTA2) while maintaining the expression of others (i.e., PDGFRB, NOTCH3, and RGS5).
Anabel Martinez‐Romero +11 more
wiley +1 more source
A multi-dimensional semantic pseudo-relevance feedback framework for information retrieval
Scientific ReportsPre-trained models have garnered significant attention in the field of information retrieval, particularly for improving document ranking. Typically, an initial retrieval step using sparse methods such as BM25 is employed to obtain a set of pseudo ...
Min Pan +4 more
doaj +1 more source
Feature Fusion-Based Re-Ranking for Home Textile Image Retrieval
MathematicsIn existing image retrieval algorithms, negative samples often appear at the forefront of retrieval results. To this end, in this paper, we propose a feature fusion-based re-ranking method for home textile image retrieval, which utilizes high-level ...
Ziyi Miao +4 more
doaj +1 more source
Frontiers in Big Data, 2022 Here we study the semantic search and retrieval problem in biomedical digital libraries. First, we introduce MedGraph, a knowledge graph embedding-based method that provides semantic relevance retrieval and ranking for the biomedical literature indexed ...
Islam Akef Ebeid
doaj +1 more source
Particular object retrieval with integral max-pooling of CNN activations [PDF]
, 2016 Recently, image representation built upon Convolutional Neural Network (CNN) has been shown to provide effective descriptors for image search, outperforming pre-CNN features as short-vector representations.
Jégou, Hervé +2 more
core +1 more source
End-to-End Cross-Modality Retrieval with CCA Projections and Pairwise Ranking Loss
, 2018 Cross-modality retrieval encompasses retrieval tasks where the fetched items are of a different type than the search query, e.g., retrieving pictures relevant to a given text query.
Dorfer, Matthias +4 more
core +1 more source
Do Neural Ranking Models Intensify Gender Bias?
, 2020 Concerns regarding the footprint of societal biases in information retrieval (IR) systems have been raised in several previous studies. In this work, we examine various recent IR models from the perspective of the degree of gender bias in their retrieval
Bolukbasi Tolga +5 more
core +1 more source