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pro vyhledávání: '"Bardhan A"'
Publikováno v:
Economic and Political Weekly, 2018 Jun . 53(25), 5-5.
Externí odkaz:
https://www.jstor.org/stable/26700758
Autor:
Pelloni, Alessandra1 (AUTHOR) alessandra.pelloni@uniroma2.it.com
Publikováno v:
Journal of Economics. Jan2024, Vol. 141 Issue 1, p93-100. 8p.
We introduce $\texttt{ReMOVE}$, a novel reference-free metric for assessing object erasure efficacy in diffusion-based image editing models post-generation. Unlike existing measures such as LPIPS and CLIPScore, $\texttt{ReMOVE}$ addresses the challen
Externí odkaz:
http://arxiv.org/abs/2409.00707
Question answering (QA) over tables and text has gained much popularity over the years. Multi-hop table-text QA requires multiple hops between the table and text, making it a challenging QA task. Although several works have attempted to solve the tab
Externí odkaz:
http://arxiv.org/abs/2406.14732
Autor:
He, Yinglong, Pan, Jiayu, Debnath, Ramit, Bardhan, Ronita, Cullen, Luke, Jenkins, Marco Gomez, Mackie, Erik, Hawker, George, Parry, Ian
Energy performance certificate (EPC) and thermal infrared (TIR) images both play a key role in the energy performance mapping of the urban building stock. In this paper, we developed parametric building archetypes using an EPC database and conducted
Externí odkaz:
http://arxiv.org/abs/2406.14520
Autor:
Ghatak, Maitreesh, author, Sen, Ritwika, author
Publikováno v:
Class and Conflict : Revisiting Pranab Bardhan's Political Economy of India, 2020, ill.
Externí odkaz:
https://doi.org/10.1093/oso/9780199499687.003.0004
Autor:
Dawer, Aashita
Publikováno v:
Jindal Global Law Review; December 2023, Vol. 14 Issue: 2 p401-408, 8p
Publikováno v:
Eur. Phys. J. Spec. Top. (2024)
We review the main applications of machine learning models that are not fully supervised in particle physics, i.e., clustering, anomaly detection, detector simulation, and unfolding. Unsupervised methods are ideal for anomaly detection tasks -- machi
Externí odkaz:
http://arxiv.org/abs/2403.13676
Autor:
Sanim, Md. Musfiqur Rahman, Saira, Safrunnesa, Ahsan, Fatin Faiaz, Bardhan, Rajon, Ferdous, S. M.
Given a n points in two dimensional space, a Manhattan Network G is a network that connects all n points with either horizontal or vertical edges, with the property that for any two point in G should be connected by a Manhattan path and distance betw
Externí odkaz:
http://arxiv.org/abs/2403.11811
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