Results 71 to 80 of about 10,850,903 (220)

Ethical Dimensions of Music Information Retrieval Technology

Transactions of the International Society for Music Information Retrieval, 2018
This article examines ethical dimensions of Music Information Retrieval (MIR) technology.  It uses practical ethics (especially computer ethics and engineering ethics) and socio-technical approache ...
A. Holzapfel, Bob L. Sturm, Mark Coeckelbergh   +2 more
semanticscholar   +1 more source

Neural Networks for Information Retrieval [PDF]

Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017
Machine learning plays a role in many aspects of modern IR systems, and deep learning is applied in all of them. The fast pace of modern-day research has given rise to many different approaches for many different IR problems. The amount of information available can be overwhelming both for junior students and for experienced researchers looking for new
Kenter, T., Borisov, A., Van Gysel, C., Dehghani, M., de Rijke, M., Mitra, B.   +5 more
openaire   +6 more sources

Preliminary Experiments using Subjective Logic for the Polyrepresentation of Information Needs [PDF]

, 2017
According to the principle of polyrepresentation, retrieval accuracy may improve through the combination of multiple and diverse information object representations about e.g.
Ingwersen, Peter, Larsen, Birger, Lioma, Christina   +2 more
core  

On the use of clustering and the MeSH controlled vocabulary to improve MEDLINE abstract search [PDF]

, 2005
Databases of genomic documents contain substantial amounts of structured information in addition to the texts of titles and abstracts. Unstructured information retrieval techniques fail to take advantage of the structured information available.
Blott, Stephen, Camous, Fabrice, Gurrin, Cathal, Jones, Gareth J.F.   +3 more
core  

The Capacity of Private Information Retrieval

, 2017
In the private information retrieval (PIR) problem a user wishes to retrieve, as efficiently as possible, one out of $K$ messages from $N$ non-communicating databases (each holds all $K$ messages) while revealing nothing about the identity of the desired
Jafar, Syed A., Sun, Hua
core   +1 more source

reSearch : enhancing information retrieval with images [PDF]

, 2009
Combining image and text search is an open research question. The main issues are what technologies to base this solution on, and what measures of relevance to employ. Our reSearch prototype mashes up papers indexed using information retrieval techniques
Goodfellow, Martin Hugh, Hunt, Ela, McCafferty, Daniel   +2 more
core  

Optimizing poultry audio signal classification with deep learning and burn layer fusion

Journal of Big Data
This study introduces a novel deep learning-based approach for classifying poultry audio signals, incorporating a custom Burn Layer to enhance model robustness.
Esraa Hassan, Samar Elbedwehy, Mahmoud Y. Shams, Tarek Abd El-Hafeez, Nora El-Rashidy   +4 more
doaj   +1 more source

Robust Information Retrieval

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval
Beyond effectiveness, the robustness of an information retrieval (IR) system is increasingly attracting attention. When deployed, a critical technology such as IR should not only deliver strong performance on average but also have the ability to handle a variety of exceptional situations.
Yu-An Liu, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke   +3 more
openaire   +2 more sources

Intelligent text similarity assessment using Roberta with integrated chaotic perturbation optimization techniques

Journal of Big Data
Precisely evaluating text similarity remains a fundamental challenge in Natural Language Processing (NLP), with widespread applications in plagiarism detection, information retrieval, semantic analysis, and recommendation systems.
Esraa Hassan, Amira Samy Talaat, M. A. Elsabagh   +2 more
doaj   +1 more source

Seagrass and hydrographic data for the Mediterranean Sea

Data in Brief, 2019
The dataset includes 1,771 locations of major seagrass families (Cymodoceaceae, Zosteraceae, Posidoniaceae, Hydrocharitaceae, Ruppiaceae), which are further divided into the species they include, as well as 1,284 locations of seagrass absence ...
Dimitrios Effrosynidis, Avi Arampatzis, Georgios Sylaios   +2 more
doaj   +1 more source