Results 201 to 210 of about 326,720 (264)

The In-depth Comparative Analysis of Four Large Language AI Models for Risk Assessment and Information Retrieval from Multi-Modality Prostate Cancer Work-up Reports. [PDF]

World J Mens Health
Yuan LH, Huang SW, Chou D, Tsai CY.
europepmc   +1 more source

Improving the Robustness of Visual Teach‐and‐Repeat Navigation Using Drift Error Correction and Event‐Based Vision for Low‐Light Environments

Advanced Robotics Research, EarlyView.
Visual teach‐and‐repeat (VTR) navigation allows robots to learn and follow routes without building a full metric map. We show that navigation accuracy for VTR can be improved by integrating a topological map with error‐drift correction based on stereo vision.
Fuhai Ling, Ze Huang, Tony J. Prescott
wiley   +1 more source

Customizing GPT-4 for clinical information retrieval from standard operating procedures

Muti HS, Lavinia Löffler CM, Leßmann M, Stüker EH, Kirchberg J, von Bonin M, Kolditz M, Ferber D, Egger-Heidrich K, Merboth F, Stange DE, Distler M, Kather JN.   +12 more
europepmc   +1 more source

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Private information retrieval

Journal of the ACM, 1998
Publicly accessible databases are an indispensable resource for retrieving up-to-date information. But they also pose a significant risk to the privacy of the user, since a curious database operator can follow the user's queries and infer what the user is after.
Benny Chor, Eyal Kushilevitz, Oded Goldreich 0001, Madhu Sudan 0001   +3 more
openaire   +1 more source

Credibility in Information Retrieval

Foundations and Trends® in Information Retrieval, 2015
Credibility, as the general concept covering trustworthiness and expertise, but also quality and reliability, is strongly debated in philosophy, psychology, and sociology, and its adoption in computer science is therefore fraught with difficulties. Yet its importance has grown in the information access community because of two complementing factors: on
Ginsca, A.L., Popescu, A., Lupu, M.
openaire   +1 more source

Explainable Information Retrieval

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023
This tutorial presents explainable information retrieval (ExIR), an emerging area focused on fostering responsible and trustworthy deployment of machine learning systems in the context of information retrieval. As the field has rapidly evolved in the past 4-5 years, numerous approaches have been proposed that focus on different access modes ...
Avishek Anand, Procheta Sen, Sourav Saha 0003, Manisha Verma, Mandar Mitra   +4 more
openaire   +2 more sources

An Information Retrieval Ontology for Information Retrieval Nanopublications

2014
Retrieval experiments produce plenty of data, like various experiment settings and experimental results, that are usually not all included in the published articles. Even if they are mentioned, they are not easily machine-readable. We propose the use of IR nanopublications to describe in a formal language such information.
Aldo Lipani, Florina Piroi, Linda Andersson, Allan Hanbury   +3 more
openaire   +1 more source