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Intelligent classification with marine predators algorithm and probabilistic neural networks. [PDF]

Sci Rep
Iskandar A, Rashaideh H, Alweshah M, Kassaymeh S, Almiani M, Alkhalaileh S.   +5 more
europepmc   +1 more source

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Budget impact analysis of molecular subtype profiling in endometrial cancer

Gynecologic Oncology, 2023
OBJECTIVE This study evaluated the costs associated with four approaches to classifying endometrial cancer (EC), including histomorphological, histomorphological with ancillary immunohistochemical assays, histomolecular and selective molecular ...
Ekaternia Olkhov-Mitsel, Jelena Mirkovic, Sharon Nofech-Mozes   +2 more
exaly   +2 more sources

Climate Change Public Budget Tagging: Connections across Financial and Environmental Classification Systems

, 2021
Identifying and evaluating climate expenditures in the public sector, known as budget tagging, has generated increasing attention from multiple stakeholders, not only to assess the governments climate change policy, but also to monitor fiscal risks ...
Rodrigo Pizarro, Raúl Delgado, Huáscar Eguino, A. Pereira   +3 more
semanticscholar   +1 more source

Traffic Scene Classification on a Representation Budget

IEEE transactions on intelligent transportation systems (Print), 2020
Visual cues can be used alongside GPS positioning and digital maps to improve understanding of vehicle environment in fleet management systems. Such systems are limited both in terms of bandwidth and storage space, so minimizing the size of transmitted ...
Ivan Sikiric, K. Brkić, Petra Bevandic, Ivan Kreso, Josip Krapac, Sinisa Segvic   +5 more
semanticscholar   +1 more source

The local budget subsidy dependence: Identification and classification

, 2020
Subject. This article tends the approaches to identifying the category of subsidized budget in the Russian Federation and classifying the regions by level of their subsidy dependence. Objectives.
М. R. Tashtamirov
semanticscholar   +1 more source

ACTOR: Active Learning with Annotator-specific Classification Heads to Embrace Human Label Variation

Conference on Empirical Methods in Natural Language Processing, 2023
Label aggregation such as majority voting is commonly used to resolve annotator disagreement in dataset creation. However, this may disregard minority values and opinions.
Xinpeng Wang, Barbara Plank
semanticscholar   +1 more source

ThriftLLM: On Cost-Effective Selection of Large Language Models for Classification Queries

Proceedings of the VLDB Endowment
Recently, large language models (LLMs) have demonstrated remarkable capabilities in understanding and generating natural language content, attracting widespread attention in both industry and academia.
Keke Huang, Yimin Shi, Dujian Ding, Yifei Li, Yang Fei, L. Lakshmanan, Xiaokui Xiao   +6 more
semanticscholar   +1 more source

Efficient budget allocation with accuracy guarantees for crowdsourcing classification tasks

Adaptive Agents and Multi-Agent Systems, 2013
In this paper we address the problem of budget allocation for redundantly crowdsourcing a set of classification tasks where a key challenge is to find a trade-off between the total cost and the accuracy of estimation.
Long Tran-Thanh, M. Venanzi, A. Rogers, N. Jennings   +3 more
semanticscholar   +1 more source