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Multi-instance learning by maximizing the area under receiver operating characteristic curve
(Springer, 2023-02)
The purpose of this study is to solve the multi-instance classification problem by maximizing the area under the Receiver Operating Characteristic (ROC) curve obtained for witness instances. We derive a mixed integer linear ...
Enhancing the performance of Piezoelectric Energy Harvester under electrostatic actuation using a robust metaheuristic algorithm
(Elsevier, 2023-02)
This study proposes a novel shape optimization methodology based on evolutionary algorithms to maximize the harvesting energy from piezoelectric energy harvester stimulated by the β-emitted radioisotope. The parametric ...
NTIRE 2022 challenge on night photography rendering
(IEEE, 2022)
This paper reviews the NTIRE 2022 challenge on night photography rendering. The challenge solicited solutions that processed RAW camera images captured in night scenes to produce a photo-finished output image encoded in ...
Trustworthiness assessment in multimodal human-robot interaction based on cognitive load
(IEEE, 2022)
In this study, we extend our robot trust model into a multimodal setting in which the Nao robot leverages audio-visual data to perform a sequential multimodal pattern recalling task while interacting with a human partner ...
Next-day operating room scheduling with time-dependent stochastic surgery durations
(Springer, 2022)
Operating rooms (ORs) are the most costly part of hospitals, thus a priority for hospital administrations. In this paper, we consider the next-day OR scheduling problem for multiple operating rooms. We assume that surgeries ...
The effect of few historical data on the performance of sample average approximation method for operating room scheduling
(Wiley, 2023-01)
We model the scheduling problem of a single operating room for outpatient surgery, with uncertain case durations and an objective function comprising waiting time, idle time, and overtime costs. This stochastic scheduling ...
Modeling the lighting in scenes as style for auto white-balance correction
(IEEE, 2023)
Style may refer to different concepts (e.g. painting style, hairstyle, texture, color, filter, etc.) depending on how the feature space is formed. In this work, we propose a novel idea of interpreting the lighting in the ...
Revisiting network reconfiguration in the era of unpredictable ev charger integration
(IEEE, 2023)
An expanded network of electric vehicle (EV) chargers is required due to the rapid uptake of EVs. The voltage profile may be disturbed by the unanticipated integration of these chargers into distribution networks, potentially ...
BERT2OME: Prediction of 2′-O-methylation modifications from RNA sequence by transformer architecture based on BERT
(IEEE, 2023-06)
Recent work on language models has resulted in state-of-the-art performance on various language tasks. Among these, Bidirectional Encoder Representations from Transformers (BERT) has focused on contextualizing word embeddings ...
Illumination-guided inverse rendering benchmark: Learning real objects with few cameras
(Elsevier, 2023-10)
The realm of 3D computer vision and graphics has experienced exponential growth recently, enabling the creation of realistic virtual environments and digital representations of real-world objects. Central to this progression ...
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