7 Result(s)
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Article
Open AccessContext-Driven Detection of Invertebrate Species in Deep-Sea Video
Each year, underwater remotely operated vehicles (ROVs) collect thousands of hours of video of unexplored ocean habitats revealing a plethora of information regarding biodiversity on Earth. However, fully util...
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Open AccessFill in the blank for fashion complementary outfit product Retrieval: VISUM summer school competition
Every year, the VISion Understanding and Machine intelligence (VISUM) summer school runs a competition where participants can learn and share knowledge about Computer Vision and Machine Learning in a vibrant e...
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A collaborative emergency decision making approach based on BWM and TODIM under interval 2-tuple linguistic environment
Emergencies require various emergency departments to collaborate to achieve timely and effective emergency responses. Thus, the overall performance of emergency response is influenced not only by the efficienc...
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Open AccessPreference-based interactive multi-document summarisation
Interactive NLP is a promising paradigm to close the gap between automatic NLP systems and the human upper bound. Preference-based interactive learning has been successfully applied, but the existing methods requ...
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Article
Open AccessBrain-inspired algorithms for retinal image analysis
Retinal image analysis is a challenging problem due to the precise quantification required and the huge numbers of images produced in screening programs. This paper describes a series of innovative brain-inspi...
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Crowdsourcing interactions: using crowdsourcing for evaluating interactive information retrieval systems
In the field of information retrieval (IR), researchers and practitioners are often faced with a demand for valid approaches to evaluate the performance of retrieval systems. The Cranfield experiment paradigm ...
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Article
Adapting boosting for information retrieval measures
We present a new ranking algorithm that combines the strengths of two previous methods: boosted tree classification, and LambdaRank, which has been shown to be empirically optimal for a widely used information...
