Results 51 to 60 of about 10,035,302 (334)

Building High-Quality Datasets for Information Retrieval Evaluation at a Reduced Cost

Proceedings, 2019
Information Retrieval is not any more exclusively about document ranking. Continuously new tasks are proposed on this and sibling fields. With this proliferation of tasks, it becomes crucial to have a cheap way of constructing test collections to ...
David Otero, Daniel Valcarce, Javier Parapar, Álvaro Barreiro   +3 more
doaj   +1 more source

Semi-supervised incremental learning with few examples for discovering medical association rules

BMC Medical Informatics and Decision Making, 2022
Background Association Rules are one of the main ways to represent structural patterns underlying raw data. They represent dependencies between sets of observations contained in the data. The associations established by these rules are very useful in the
Ricardo Sánchez-de-Madariaga, Juan Martinez-Romo, José Miguel Cantero Escribano, Lourdes Araujo   +3 more
doaj   +1 more source

The Capacity of Private Information Retrieval From Coded Databases [PDF]

IEEE Transactions on Information Theory, 2016
We consider the problem of private information retrieval (PIR) over a distributed storage system. The storage system consists of $N$ non-colluding databases, each storing an MDS-coded version of $M$ messages.
Karim A. Banawan, S. Ulukus
semanticscholar   +1 more source

DeepRank: A New Deep Architecture for Relevance Ranking in Information Retrieval [PDF]

International Conference on Information and Knowledge Management, 2017
This paper concerns a deep learning approach to relevance ranking in information retrieval (IR). Existing deep IR models such as DSSM and CDSSM directly apply neural networks to generate ranking scores, without explicit understandings of the relevance ...
Liang Pang, Yanyan Lan, J. Guo, Jun Xu, Jingfang Xu, Xueqi Cheng   +5 more
semanticscholar   +1 more source

MET variants with activating N‐lobe mutations identified in hereditary papillary renal cell carcinomas still require ligand stimulation

Molecular Oncology, EarlyView.
MET variants in the N‐lobe of the kinase domain, found in hereditary papillary renal cell carcinoma, require ligand stimulation to promote cell transformation, in contrast to other RTK variants. This suggests that HGF expression in the microenvironment is important for tumor growth in such patients. Their sensitivity to MET inhibitors opens the way for
Célia Guérin, Audrey Vinchent, Marie Fernandes, Isabelle Damour, Agathe Laratte, Rémi Tellier, Gabriella O. Estevam, Jean‐Pascal Meneboo, Céline Villenet, Clotilde Descarpentries, James S. Fraser, Martin Figeac, Alexis B. Cortot, Etienne Rouleau, David Tulasne   +14 more
wiley   +1 more source

Transfer Learning for Named Entity Recognition in Financial and Biomedical Documents

Information, 2019
Recent deep learning approaches have shown promising results for named entity recognition (NER). A reasonable assumption for training robust deep learning models is that a sufficient amount of high-quality annotated training data is available.
Sumam Francis, Jordy Van Landeghem, Marie-Francine Moens   +2 more
doaj   +1 more source

Information Retrieval and Criticality in Parity-Time-Symmetric Systems. [PDF]

Physical Review Letters, 2017
By investigating information flow between a general parity-time (PT-)symmetric non-Hermitian system and an environment, we find that the complete information retrieval from the environment can be achieved in the PT-unbroken phase, whereas no information ...
K. Kawabata, Yuto Ashida, Masahito Ueda
semanticscholar   +1 more source

Response to neoadjuvant chemotherapy in early breast cancers is associated with epithelial–mesenchymal transition and tumor‐infiltrating lymphocytes

Molecular Oncology, EarlyView.
Epithelial–mesenchymal transition (EMT) and tumor‐infiltrating lymphocytes (TILs) are associated with early breast cancer response to neoadjuvant chemotherapy (NAC). This study evaluated EMT and TIL shifts, with immunofluorescence and RNA sequencing, at diagnosis and in residual tumors as potential biomarkers associated with treatment response.
Françoise Derouane, Jérôme Ambroise, Cédric van Marcke, Mieke Van Bockstal, Martine Berlière, Christine Galant, Hélène Dano, Médina Lougué, Elena Benidovskaya, Guy Jerusalem, Vincent Bours, Claire Josse, Jérôme Thiry, Aurélie Daumerie, Caroline Bouzin, Cyril Corbet, François P. Duhoux   +16 more
wiley   +1 more source

Self-organization of the stock exchange to the edge of a phase transition: empirical and theoretical studies

Frontiers in Physics
Our study is based on the hypothesis that stock exchanges, being nonlinear, open and dissipative systems, are capable of self-organization to the edge of a phase transition.
Andrey Dmitriev, Andrey Dmitriev, Andrey Lebedev, Vasily Kornilov, Victor Dmitriev   +4 more
doaj   +1 more source

Peripheral blood proteome biomarkers distinguish immunosuppressive features of cancer progression

Molecular Oncology, EarlyView.
Immune status significantly influences cancer progression. This study used plasma proteomics to analyze benign 67NR and malignant 4T1 breast tumor models at early and late tumor stages. Immune‐related proteins–osteopontin (Spp1), lactotransferrin (Ltf), calreticulin (Calr) and peroxiredoxin 2 (Prdx2)–were associated with systemic myeloid‐derived ...
Yeon Ji Park, Jae Won Oh, Hyewon Chung, Jung Won Kwon, Yi Rang Na, Kwang Pyo Kim, Seung Hyeok Seok   +6 more
wiley   +1 more source