Results 231 to 240 of about 13,074 (260)

Climbing the ladder: a ranking approach to burnout prediction. [PDF]

open access: yesFront Digit Health
Dei Rossi A   +6 more
europepmc   +1 more source

Exploring the Influence of Soil Types on the Mineral Profile of Honey: Implications for Geographical Origin Prediction. [PDF]

open access: yesFoods
Schmidlová S   +14 more
europepmc   +1 more source

Multilabel Ranking with Inconsistent Rankers

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021
While most existing multilabel ranking methods assume the availability of a single objective label ranking for each instance in the training set, this paper deals with a more common case where only subjective inconsistent rankings from multiple rankers are associated with each instance. Two ranking methods are proposed from the perspective of instances
Xin, Geng   +3 more
openaire   +2 more sources

The wisdom of the rankers

Proceedings of the 36th Annual ACM Symposium on Applied Computing, 2021
Information Retrieval is an area where evaluation is crucial to validate newly proposed models. As the first step in the evaluation of models, researchers carry out offline experiments on specific datasets. While the field started around ad-hoc search, the number of new tasks is continuously growing.
David Otero   +2 more
openaire   +1 more source

SoNeR: Social Network Ranker

Neurocomputing, 2016
Abstract Social Network Ranker (SoNeR) is software that retrieves, from the Semantic Web, documents describing people (users) and ranks them based on their popularity. It provides supportive tools for obtaining the related FOAF/RDF documents, parsing them, detecting identity synonyms and ranking people.
Gajo Petrović, Hamido Fujita
openaire   +1 more source

Adapting Rankers Online

2011
At the heart of many effective approaches to the core information retrieval problem-identifying relevant content-lies the following three-fold strategy: obtaining content based matches, inferring additional ranking criteria and constraints, and combining all of the above so as to arrive at a single ranking of retrieval units.
Hofmann, K., Whiteson, S., de Rijke, M.
openaire   +3 more sources

Different Rankers on Different Subcollections

2015
Recent work has shown that when documents in a TREC ad hoc collection are partitioned, different rankers will perform optimally on different partitions. This result suggests that choosing different highly effective rankers for each partition and merging the results, should be able to improve overall effectiveness.
Jones, Timothy   +4 more
openaire   +2 more sources

Multilabel Ranking with Inconsistent Rankers

2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014
While most existing multilabel ranking methods assume the availability of a single objective label ranking for each instance in the training set, this paper deals with a more common case where subjective inconsistent rankings from multiple rankers are associated with each instance.
Xin Geng, Longrun Luo
openaire   +1 more source

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