Results 81 to 90 of about 372,511 (339)
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
Molecular Oncology, EarlyView.Overexpression of CHRDL2 in colon cancer cells makes them more stem‐like and resistant to chemo‐ and radiotherapy. CHRDL2‐high cells have upregulation of the WNT pathway, genes involved in the DNA damage response (DDR) pathway and epithelial‐to‐mesenchymal transition (EMT). This leads to quicker repair of damaged DNA and more cell migration.
Eloise Clarkson, Annabelle Lewis
wiley +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
Molecular Oncology, EarlyView.Cotargeting EGFR and STAT3 with Erlotinib and TTI‐101 impairs both 2D and 3D growth of ETV1‐overexpressing prostate cancer cells by disrupting a self‐sustaining ETV1–EGFR positive feedback loop that promotes EGFR and STAT3 expression and phosphorylation (activation).
Elsa Gomes Paiva +5 more
wiley +1 more source
Information Retrieval: Ranking Results According to Calendar Criteria [PDF]
, 2012 Our work deals with calendar information as it is expressed in natural language (NL), that is to say through textual units such as prepositional phrases or noun phrases (e.g. in the 90s, at the beginning of the XVth century). We call these textual units Calendar Expressions (CE).
Delphine Battistelli +4 more
openaire +2 more sources
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
An evaluation of Bradfordizing effects [PDF]
, 2008 The purpose of this paper is to apply and evaluate the bibliometric method Bradfordizing for information retrieval (IR) experiments. Bradfordizing is used for generating core document sets for subject-specific questions and to reorder result sets from ...
Bates Marcia J. +23 more
core +8 more sources
Molecular Oncology, EarlyView.Human cytomegalovirus infection is common in normal prostate epithelium, prostate tumor tissue, and prostate cancer cell lines. CMV promotes cell survival, proliferation, and androgen receptor signaling. Anti‐CMV pharmaceutical compounds in clinical use inhibited cell expansion in prostate cancer models in vitro and in vivo, motivating investigation ...
Johanna Classon +13 more
wiley +1 more source
A Hybrid Large Language Model for Context-Aware Document Ranking in Telecommunication Data
IEEE AccessLarge language models (LLMs) have drawn a lot of attention due to their exceptional comprehension and reasoning capabilities. The development of LLM methods are leading to countless prospects for the automation of numerous tasks in the telecommunication ...
Abhay Bindle +5 more
doaj +1 more source