Zobrazeno 1 - 10
of 6 444
pro vyhledávání: '"Coscia, A."'
Autor:
Mazzucato, Camilla, Coscia, Michele, Doğu, Ayça Küçükakdağ, Haddow, Scott, Kılıç, Muhammed Sıddık, Yüncü, Eren, Somel, Mehmet
Recent advances in archaeogenomics have granted access to previously unavailable biological information with the potential to further our understanding of past social dynamics at a range of scales. However, to properly integrate these data within arc
Externí odkaz:
http://arxiv.org/abs/2406.19149
Autor:
Coscia, Matteo A., Borno, Mazen Al
Vibrotactile stimulation has been explored to accelerate the acquisition of motor skills involving finger movements (Gemicioglu et al. 22, Markow et al. 2010, Seim et al. 17). This study evaluates the effectiveness of vibrotactile stimulation compare
Externí odkaz:
http://arxiv.org/abs/2406.06720
Autor:
Guo, Grace, Kumar, Aishwarya Mudgal Sunil, Gupta, Adit, Coscia, Adam, MacLellan, Chris, Endert, Alex
Intelligent tutoring systems leverage AI models of expert learning and student knowledge to deliver personalized tutoring to students. While these intelligent tutors have demonstrated improved student learning outcomes, it is still unclear how teache
Externí odkaz:
http://arxiv.org/abs/2404.12944
Autor:
Coscia, Adam, Sapers, Haley M., Deutsch, Noah, Khurana, Malika, Magyar, John S., Parra, Sergio A., Utter, Daniel R., Wipfler, Rebecca L., Caress, David W., Martin, Eric J., Paduan, Jennifer B., Hendrie, Maggie, Lombeyda, Santiago, Mushkin, Hillary, Endert, Alex, Davidoff, Scott, Orphan, Victoria J.
Scientists studying deep ocean microbial ecosystems use limited numbers of sediment samples collected from the seafloor to characterize important life-sustaining biogeochemical cycles in the environment. Yet conducting fieldwork to sample these extre
Externí odkaz:
http://arxiv.org/abs/2403.04761
The recent explosion in popularity of large language models (LLMs) has inspired learning engineers to incorporate them into adaptive educational tools that automatically score summary writing. Understanding and evaluating LLMs is vital before deployi
Externí odkaz:
http://arxiv.org/abs/2403.04760
Autor:
Coscia, Adam, Endert, Alex
Recent growth in the popularity of large language models has led to their increased usage for summarizing, predicting, and generating text, making it vital to help researchers and engineers understand how and why they work. We present KnowledgeVis, a
Externí odkaz:
http://arxiv.org/abs/2403.04758
Data integration is often performed to consolidate information from multiple disparate data sources during visual data analysis. However, integration operations are usually separate from visual analytics operations such as encode and filter in both i
Externí odkaz:
http://arxiv.org/abs/2403.04757
Autor:
Coscia, Michele, Devriendt, Karel
Recently, the first author proposed a measure to calculate Pearson correlations for node values expressed in a network, by taking into account distances or metrics defined on the network. In this technical note, we show that using an arbitrary choice
Externí odkaz:
http://arxiv.org/abs/2402.09489
Autor:
Coscia, Michele, Devriendt, Karel
Complex networks are a useful tool to investigate various phenomena in social science, economics, and logistics. Node Vector Distance (NVD) is an emerging set of techniques allowing us to estimate the distance and correlation between variables define
Externí odkaz:
http://arxiv.org/abs/2310.11222
Data clustering, the task of grouping observations according to their similarity, is a key component of unsupervised learning -- with real world applications in diverse fields such as biology, medicine, and social science. Often in these fields the d
Externí odkaz:
http://arxiv.org/abs/2309.10408