Zobrazeno 1 - 10
of 355 801
pro vyhledávání: '"Comparative evaluation"'
Autor:
Andrei, Alexandru-Victor, Velev, Georg, Toma, Filip-Mihai, Pele, Daniel Traian, Lessmann, Stefan
Energy is a critical driver of modern economic systems. Accurate energy price forecasting plays an important role in supporting decision-making at various levels, from operational purchasing decisions at individual business organizations to policy-ma
Externí odkaz:
http://arxiv.org/abs/2411.03372
The applicability domain refers to the range of data for which the prediction of the predictive model is expected to be reliable and accurate and using a model outside its applicability domain can lead to incorrect results. The ability to define the
Externí odkaz:
http://arxiv.org/abs/2411.00920
This study addresses the challenge of classifying cell shapes from noisy contours, such as those obtained through cell instance segmentation of histological images. We assess the performance of various features for shape classification, including Ell
Externí odkaz:
http://arxiv.org/abs/2411.00561
Publikováno v:
The 2nd IEEE International Conference on Federated Learning Technologies and Applications (FLTA24), Sep 2024, Valencia (Espagne), Spain
Over recent years, Federated Learning (FL) has proven to be one of the most promising methods of distributed learning which preserves data privacy. As the method evolved and was confronted to various real-world scenarios, new challenges have emerged.
Externí odkaz:
http://arxiv.org/abs/2410.14212
Autor:
Deho, Oscar Blessed, Bewong, Michael, Kwashie, Selasi, Li, Jiuyong, Liu, Jixue, Liu, Lin, Joksimovic, Srecko
Over the last few decades, machine learning (ML) applications have grown exponentially, yielding several benefits to society. However, these benefits are tempered with concerns of discriminatory behaviours exhibited by ML models. In this regard, fair
Externí odkaz:
http://arxiv.org/abs/2409.12428
Object pose estimation is essential to many industrial applications involving robotic manipulation, navigation, and augmented reality. Current generalizable object pose estimators, i.e., approaches that do not need to be trained per object, rely on a
Externí odkaz:
http://arxiv.org/abs/2408.08234
Crossbar memory arrays have been touted as the workhorse of in-memory computing (IMC)-based acceleration of Deep Neural Networks (DNNs), but the associated hardware non-idealities limit their efficacy. To address this, cross-layer design solutions th
Externí odkaz:
http://arxiv.org/abs/2408.05857
Autor:
Hsieh, Po-Yu, Hou, June-Hao
The control and modeling of robot dynamics have increasingly adopted model-free control strategies using machine learning. Given the non-linear elastic nature of bionic robotic systems, learning-based methods provide reliable alternatives by utilizin
Externí odkaz:
http://arxiv.org/abs/2407.02428
The high demand for mango (Mangifera indica L.) fruits has led sellers to employ ripening agents. However, concerns are growing regarding the potential toxicities of induced ripening, emphasizing the need for scientific investigation. Samples of arti
Externí odkaz:
http://arxiv.org/abs/2408.01425