Zobrazeno 1 - 10
of 468
pro vyhledávání: '"Sheppard, John P."'
Autor:
Morales, Giorgio, Sheppard, John W.
Symbolic regression (SR) methods attempt to learn mathematical expressions that approximate the behavior of an observed system. However, when dealing with multivariate systems, they often fail to identify the functional form that explains the relatio
Externí odkaz:
http://arxiv.org/abs/2406.17834
Autor:
Morales, Giorgio, Sheppard, John
In Precision Agriculture, the utilization of management zones (MZs) that take into account within-field variability facilitates effective fertilizer management. This approach enables the optimization of nitrogen (N) rates to maximize crop yield produ
Externí odkaz:
http://arxiv.org/abs/2403.10730
The task of multimedia geolocation is becoming an increasingly essential component of the digital forensics toolkit to effectively combat human trafficking, child sexual exploitation, and other illegal acts. Typically, metadata-based geolocation info
Externí odkaz:
http://arxiv.org/abs/2402.15448
Autor:
Breitinger, Frank, Hilgert, Jan-Niclas, Hargreaves, Christopher, Sheppard, John, Overdorf, Rebekah, Scanlon, Mark
Conducting a systematic literature review and comprehensive analysis, this paper surveys all 135 peer-reviewed articles published at the Digital Forensics Research Conference Europe (DFRWS EU) spanning the decade since its inaugural running (2014-202
Externí odkaz:
http://arxiv.org/abs/2312.11292
Autor:
Scanlon, Mark, Breitinger, Frank, Hargreaves, Christopher, Hilgert, Jan-Niclas, Sheppard, John
The disruptive application of ChatGPT (GPT-3.5, GPT-4) to a variety of domains has become a topic of much discussion in the scientific community and society at large. Large Language Models (LLMs), e.g., BERT, Bard, Generative Pre-trained Transformers
Externí odkaz:
http://arxiv.org/abs/2307.10195
Autor:
Morales, Giorgio, Sheppard, John
Response curves exhibit the magnitude of the response of a sensitive system to a varying stimulus. However, response of such systems may be sensitive to multiple stimuli (i.e., input features) that are not necessarily independent. As a consequence, t
Externí odkaz:
http://arxiv.org/abs/2304.04063
Autor:
Morales, Giorgio, Sheppard, John W.
Publikováno v:
G. Morales and J. W. Sheppard, "Dual Accuracy-Quality-Driven Neural Network for Prediction Interval Generation," in IEEE Transactions on Neural Networks and Learning Systems, 2023
Accurate uncertainty quantification is necessary to enhance the reliability of deep learning models in real-world applications. In the case of regression tasks, prediction intervals (PIs) should be provided along with the deterministic predictions of
Externí odkaz:
http://arxiv.org/abs/2212.06370
Protein content in wheat plays a significant role when determining the price of wheat production. The Grain mixing problem aims to find the optimal bin pair combination with an appropriate mixing ratio to load each truck that will yield a maximum pro
Externí odkaz:
http://arxiv.org/abs/2112.08501
Autor:
Morales, Giorgio, Sheppard, John W.
Crop yield prediction is one of the tasks of Precision Agriculture that can be automated based on multi-source periodic observations of the fields. We tackle the yield prediction problem using a Convolutional Neural Network (CNN) trained on data that
Externí odkaz:
http://arxiv.org/abs/2111.08069
In recent years, Hyperspectral Imaging (HSI) has become a powerful source for reliable data in applications such as remote sensing, agriculture, and biomedicine. However, hyperspectral images are highly data-dense and often benefit from methods to re
Externí odkaz:
http://arxiv.org/abs/2106.00645