Results 11 to 20 of about 1,414,227 (375)
Dynamic Key-Value Memory Networks for Knowledge Tracing [PDF]
The Web Conference, 2017 Knowledge Tracing (KT) is a task of tracing evolving knowledge state of students with respect to one or more concepts as they engage in a sequence of learning activities.
Chen T. +18 more
core +3 more sources
Sionna RT: Differentiable Ray Tracing for Radio Propagation Modeling [PDF]
2023 IEEE Globecom Workshops (GC Wkshps), 2023 Sionna™ is a GPU-accelerated open-source library for link-level simulations based on TensorFlow. Since release v0.14 it integrates a differentiable ray tracer (RT) for the simulation of radio wave propagation.
J. Hoydis +6 more
semanticscholar +1 more source
Knowledge Tracing: A Survey [PDF]
ACM Computing Surveys, 2022 Humans’ ability to transfer knowledge through teaching is one of the essential aspects for human intelligence. A human teacher can track the knowledge of students to customize the teaching on students’ needs.
Ghodai M. Abdelrahman +2 more
semanticscholar +1 more source
Context-Aware Attentive Knowledge Tracing [PDF]
Knowledge Discovery and Data Mining, 2020 Knowledge tracing (KT) refers to the problem of predicting future learner performance given their past performance in educational applications. Recent developments in KT using flexible deep neural network-based models excel at this task.
Aritra Ghosh +2 more
semanticscholar +1 more source
Quantifying SARS-CoV-2 transmission suggests epidemic control with digital contact tracing
Science, 2020 Instantaneous contact tracing New analyses indicate that severe acute respiratory syndrome–coronavirus 2 (SARS-CoV-2) is more infectious and less virulent than the earlier SARS-CoV-1, which emerged in China in 2002.
L. Ferretti +8 more
semanticscholar +2 more sources
A Survey of COVID-19 Contact Tracing Apps [PDF]
IEEE Access, 2020 The recent outbreak of COVID-19 has taken the world by surprise, forcing lockdowns and straining public health care systems. COVID-19 is known to be a highly infectious virus, and infected individuals do not initially exhibit symptoms, while some remain ...
N. Ahmed +9 more
semanticscholar +1 more source
Epidemic Contact Tracing via Communication Traces [PDF]
PLoS ONE, 2014 Traditional contact tracing relies on knowledge of the interpersonal network of physical interactions, where contagious outbreaks propagate. However, due to privacy constraints and noisy data assimilation, this network is generally difficult to reconstruct accurately.
Farrahi, Katayoun +2 more
openaire +7 more sources
Real-time neural radiance caching for path tracing [PDF]
ACM Transactions on Graphics, 2021 We present a real-time neural radiance caching method for path-traced global illumination. Our system is designed to handle fully dynamic scenes, and makes no assumptions about the lighting, geometry, and materials. The data-driven nature of our approach
T. Müller +3 more
semanticscholar +1 more source
Nature Protocols, 2010 Recombinant rabies viruses rendered replication-deficient by the deletion of their envelope glycoprotein gene are useful tools for neuroscientists, permitting (1) extraordinarily high transgene expression levels within neurons, (2) retrograde infection ...
Citation Wickersham +3 more
semanticscholar +1 more source
Towards an Appropriate Query, Key, and Value Computation for Knowledge Tracing [PDF]
ACM Conference on Learning @ Scale, 2020 In this paper, we propose a novel Transformer-based model for knowledge tracing, SAINT: Separated Self-AttentIve Neural Knowledge Tracing. SAINT has an encoder-decoder structure where the exercise and response embedding sequences separately enter ...
Youngduck Choi +8 more
semanticscholar +1 more source