Zobrazeno 1 - 10
of 249
pro vyhledávání: '"SALIM, FLORA D."'
In this work, we bridge the gap between wearable sensor technology and personalized AI assistants by enabling Large Language Models (LLMs) to understand time-series tasks like human activity recognition (HAR). Despite the strong reasoning and general
Externí odkaz:
http://arxiv.org/abs/2410.10624
Autor:
Hu, Yongquan, Zhang, Shuning, Dang, Ting, Jia, Hong, Salim, Flora D., Hu, Wen, Quigley, Aaron J.
Integrating physiological signals such as electroencephalogram (EEG), with other data such as interview audio, may offer valuable multimodal insights into psychological states or neurological disorders. Recent advancements with Large Language Models
Externí odkaz:
http://arxiv.org/abs/2408.07313
Occupation information can be utilized by digital assistants to provide occupation-specific personalized task support, including interruption management, task planning, and recommendations. Prior research in the digital workplace assistant domain req
Externí odkaz:
http://arxiv.org/abs/2407.18518
Matching in two-sided markets such as ride-hailing has recently received significant attention. However, existing studies on ride-hailing mainly focus on optimising efficiency, and fairness issues in ride-hailing have been neglected. Fairness issues
Externí odkaz:
http://arxiv.org/abs/2407.17839
Autor:
Deldari, Shohreh, Goudarzi, Mohammad, Joshi, Aditya, Shaghaghi, Arash, Finn, Simon, Salim, Flora D., Jha, Sanjay
In the age of information overload, professionals across various fields face the challenge of navigating vast amounts of documentation and ever-evolving standards. Ensuring compliance with standards, regulations, and contractual obligations is a crit
Externí odkaz:
http://arxiv.org/abs/2407.14116
Student engagement plays a vital role in academic success with high engagement often linked to positive educational outcomes. Traditionally, student engagement is measured through self-reports, which are both labour-intensive and not real-time. An em
Externí odkaz:
http://arxiv.org/abs/2407.14015
Understanding the agent's learning process, particularly the factors that contribute to its success or failure post-training, is crucial for comprehending the rationale behind the agent's decision-making process. Prior methods clarify the learning pr
Externí odkaz:
http://arxiv.org/abs/2406.14214
Video language continual learning involves continuously adapting to information from video and text inputs, enhancing a model's ability to handle new tasks while retaining prior knowledge. This field is a relatively under-explored area, and establish
Externí odkaz:
http://arxiv.org/abs/2406.13123
Autor:
Prabowo, Arian, Lin, Xiachong, Razzak, Imran, Xue, Hao, Yap, Emily W., Amos, Matthew, Salim, Flora D.
Buildings play a crucial role in human well-being, influencing occupant comfort, health, and safety. Additionally, they contribute significantly to global energy consumption, accounting for one-third of total energy usage, and carbon emissions. Optim
Externí odkaz:
http://arxiv.org/abs/2406.08990
Accuracy and timeliness are indeed often conflicting goals in prediction tasks. Premature predictions may yield a higher rate of false alarms, whereas delaying predictions to gather more information can render them too late to be useful. In applicati
Externí odkaz:
http://arxiv.org/abs/2406.04035