Zobrazeno 1 - 10
of 193
pro vyhledávání: '"Moradi, Milad"'
Automated software testing is integral to the software development process, streamlining workflows and ensuring product reliability. Visual testing within this context, especially concerning user interface (UI) and user experience (UX) validation, st
Externí odkaz:
http://arxiv.org/abs/2405.00874
In this review paper, we delve into the realm of Large Language Models (LLMs), covering their foundational principles, diverse applications, and nuanced training processes. The article sheds light on the mechanics of in-context learning and a spectru
Externí odkaz:
http://arxiv.org/abs/2404.11973
Biomedical Named Entity Recognition (NER) is a fundamental task of Biomedical Natural Language Processing for extracting relevant information from biomedical texts, such as clinical records, scientific publications, and electronic health records. The
Externí odkaz:
http://arxiv.org/abs/2312.15550
In recent years, deep neural networks have been widely used for building high-performance Artificial Intelligence (AI) systems for computer vision applications. Object detection is a fundamental task in computer vision, which has been greatly progres
Externí odkaz:
http://arxiv.org/abs/2303.17249
Autor:
Ott, Simon, Hebenstreit, Konstantin, Liévin, Valentin, Hother, Christoffer Egeberg, Moradi, Milad, Mayrhauser, Maximilian, Praas, Robert, Winther, Ole, Samwald, Matthias
Publikováno v:
Scientific Data 10, 528 (2023)
Large language models (LLMs) such as GPT-4 have recently demonstrated impressive results across a wide range of tasks. LLMs are still limited, however, in that they frequently fail at complex reasoning, their reasoning processes are opaque, they are
Externí odkaz:
http://arxiv.org/abs/2301.11596
Measuring the performance of natural language processing models is challenging. Traditionally used metrics, such as BLEU and ROUGE, originally devised for machine translation and summarization, have been shown to suffer from low correlation with huma
Externí odkaz:
http://arxiv.org/abs/2204.11574
Autor:
Moradi, Milad, Samwald, Matthias
In this article, we first give an introduction to artificial intelligence and its applications in biology and medicine in Section 1. Deep learning methods are then described in Section 2. We narrow down the focus of the study on textual data in Secti
Externí odkaz:
http://arxiv.org/abs/2202.12678
Publikováno v:
In Journal of African Earth Sciences October 2024 218
Autor:
Moradi, Milad, Samwald, Matthias
Deep transformer neural network models have improved the predictive accuracy of intelligent text processing systems in the biomedical domain. They have obtained state-of-the-art performance scores on a wide variety of biomedical and clinical Natural
Externí odkaz:
http://arxiv.org/abs/2111.08529
Autor:
Moradi, Milad
Ces dernières années, de nouvelles méthodes de collecte de données géospatiales basées sur la contribution du public se sont développées. L’information géographique volontaire ou «Volunteered Geographic Information (VGI)» en anglais, ren
Externí odkaz:
https://hdl.handle.net/20.500.11794/67232