Results 71 to 80 of about 14,976,458 (288)
Enhancing Robustness in Biomedical NLI Models: A Probing Approach for Clinical Trials
Large Language Models have revolutionized various fields and industries, such as Conversational AI, Content Generation, Information Retrieval, Business Intelligence, and Medical, to name a few. One major application in the field of medical is to analyze and investigate clinical trials for entailment tasks.However, It has been observed that Large ...
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Robust Utility Maximization in a Stochastic Factor Model [PDF]
We give an explicit PDE characterization for the solution of a robust utility maximization problem in an incomplete market model, whose volatility, interest rate process, and long-term trend are driven by an external stochastic factor process. The robust
Daniel Hernandez–Hernandez +1 more
core
In this explorative study, the abundance of circular RNA molecules in bone marrow stem cells was found to be elevated in patients with high‐risk myelodysplastic neoplasms, and to be associated with an increased risk of progression to acute myeloid leukemia.
Eileen Wedge +17 more
wiley +1 more source
PLB-GPT: Potato Late Blight Prediction with Generative Pretrained Transformer and Optimizing
Potato late blight is a devastating disease and threatening global potato production, necessitating accurate early prediction for effective management and yield enhancement.This paper presents the PLB-GPT, a novel generative pre-trained transformer-based
Peisen Yuan +6 more
doaj +1 more source
How Robust is Robust Control in the Time Domain? [PDF]
By applying robust control the decision maker wants to make good decisions when his model is only a good approximation of the true one. Such decisions are said to be robust to model misspecification.
Marco P. Tucci
core
Cytarabine is a key therapy for acute myeloid leukaemia (AML), but its efficacy is limited by the dNTPase SAMHD1, which hydrolyses its active metabolite. Screening nucleotide biosynthesis inhibitors revealed that IMPDH inhibitors selectively sensitise SAMHD1‐proficient AML cells to cytarabine.
Miriam Yagüe‐Capilla +9 more
wiley +1 more source
Object Detection (OD) from drone images is a long-standing challenge due to multi-scale objects in the images. Several sophisticated and robust OD models have been proposed in the last few decades.
Gargi Joshi +6 more
doaj +1 more source
This paper introduces SmartBarrel, an innovative IoT-based sensory system that monitors and forecasts wine fermentation processes. At the core of SmartBarrel are two compact, attachable devices—the probing nose (E-nose) and the probing tongue (E-tongue),
Sotirios Kontogiannis +4 more
doaj +1 more source
EXPRTS: Exploring and Probing the Robustness of Time Series Forecasting Models
under ...
Kjærnli, Håkon Hanisch +6 more
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Robust estimators for the fixed effects panel data model. [PDF]
The presence of outlying observations in panel data can affect the classical estimates in a dramatic way. Nevertheless the common practice seems to disregard the problem.
Croux, Christophe, Bramati, M
core

