Zobrazeno 1 - 10
of 15 819
pro vyhledávání: '"Milani P."'
JavaScript has been consistently among the most popular programming languages in the past decade. However, its dynamic, weakly-typed, and asynchronous nature can make it challenging to write maintainable code for developers without in-depth knowledge
Externí odkaz:
http://arxiv.org/abs/2411.19358
Record matching, the task of identifying records that correspond to the same real-world entities across databases, is critical for data integration in domains like healthcare, finance, and e-commerce. While traditional record matching models focus on
Externí odkaz:
http://arxiv.org/abs/2411.01685
The rise of large language models (LLMs) has significantly impacted various domains, including natural language processing (NLP) and image generation, by making complex computational tasks more accessible. While LLMs demonstrate impressive generative
Externí odkaz:
http://arxiv.org/abs/2410.10680
The success of learning-based coding techniques and the development of learning-based image coding standards, such as JPEG-AI, point towards the adoption of such solutions in different fields, including the storage of biometric data, like fingerprint
Externí odkaz:
http://arxiv.org/abs/2409.18730
Entity Matching (EM) is crucial for identifying equivalent data entities across different sources, a task that becomes increasingly challenging with the growth and heterogeneity of data. Blocking techniques, which reduce the computational complexity
Externí odkaz:
http://arxiv.org/abs/2409.16410
Autor:
Milani, Farzad
In this paper, I consider a $f(R, G, T)$ modified gravity model where $R$ represents the Ricci scalar, $G$ denotes the Gauss-Bonnet invariant, and $T$ signifies the trace of the stress-energy tensor. This model is coupled with two distinct types of s
Externí odkaz:
http://arxiv.org/abs/2409.00656
Autor:
Milani, Alessandra Maciel Paz, Starr, Arty, Hill, Samantha, Curtis, Callum, Anderson, Norman, Moreno-Lumbreras, David, Storey, Margaret-Anne
With security threats increasing in frequency and severity, it is critical that we consider the important role of threat hunters. These highly-trained security professionals learn to see, identify, and intercept security threats. Many recent works an
Externí odkaz:
http://arxiv.org/abs/2408.04348
Interpreting artificial neural networks to detect genome-wide association signals for complex traits
Investigating the genetic architecture of complex diseases is challenging due to the highly polygenic and interactive landscape of genetic and environmental factors. Although genome-wide association studies (GWAS) have identified thousands of variant
Externí odkaz:
http://arxiv.org/abs/2407.18811
Autor:
Hosseinionari, Hadi, Bajelani, Mohammad, van Heusden, Klaske, Milani, Abbas S., Seethaler, Rudolf
Shaping thermoplastic sheets into three-dimensional products is challenging since overheating results in failed manufactured parts and wasted material. To this end, we propose an indirect data-driven predictive control approach using Model Predictive
Externí odkaz:
http://arxiv.org/abs/2407.17013
Recent advances in reinforcement learning (RL) have predominantly leveraged neural network-based policies for decision-making, yet these models often lack interpretability, posing challenges for stakeholder comprehension and trust. Concept bottleneck
Externí odkaz:
http://arxiv.org/abs/2407.15786