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- Sandberg, David, 1980, et al.
(författare)
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The impact of sleepiness on lane positioning in truck driving
- 2013. - 1
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Ingår i: Driver Distraction and Inattention. - Farnham : Ashgate. - 9781409425854 - 9781315578156 ; 1, s. 405-416
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Bokkapitel (refereegranskat)abstract
- This chapter concerns the detection of sleepiness in truck drivers. Data obtained from a driver sleepiness study involving real-world driving are used in order to analyse the performance of several sleepiness indicators based on driving behavior; such as, for example, variability in lateral position and heading angle. Contrary to the results obtained for passenger cars, for heavy trucks it is found that indicators based on variability provide little or no information; their performance does not rise significantly above chance levels.However, the data indicate that there is a significant difference in the average lane position for sleepy and alert drivers, respectively, such that a sleepy driver generally places the vehicle closer (by about 0.2 m) to the centre of the road than an alert driver. The analysis also shows a significant, monotonous, increase in average lateral position (measured from the right, outer, lane boundary towards the lane centre) between the four cases of (i) daytime alert driving, (ii) daytime sleepy driving, (iii) night-time alert driving and (iv) nighttime sleepy driving.
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- Wahde, Mattias, 1969
(författare)
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A framework for optimization of pattern sets for financial time series prediction
- 2018
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Ingår i: Lecture Notes in Networks and Systems. - Cham : Springer International Publishing. - 2367-3389 .- 2367-3370. ; 15, s. 16-32
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Bokkapitel (övrigt vetenskapligt/konstnärligt)abstract
- Abstract—In this paper, a framework is introduced for generating human-interpretable structures, here called pattern sets, for short-term prediction of financial time series. The optimization is carried out using an evolutionary algorithm, which is able to modify both the structure and the parameters of the evolving pattern sets. The framework has been applied in two different modes: A tuning mode, in which the user provides a starting point in the form of loosely defined pattern set, and a discovery mode, in which the starting points consist of random pattern sets. The best results were obtained in the tuning mode, for which the top-performing pattern sets gave strongly statistically significant results in excess of one-day market returns (p−values below 0.0007 and, in many cases, even below 0.0001) over validation data (not used during optimization) for two data sets, involving stocks with large and small market capitalization, respectively. The average one-day returns ranged from 0.518 to 1.147%, with one-day Sharpe ratios ranging from 0.138 to 0.258.
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- Wahde, Mattias, 1969, et al.
(författare)
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Conversational agents: Theory and applications
- 2022
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Ingår i: Handbook On Computer Learning And Intelligence. ; 1-2, s. 497-544
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Bokkapitel (övrigt vetenskapligt/konstnärligt)abstract
- In this chapter, we provide a review of conversational agents (CAs), discussing chatbots, intended for casual conversation with a user, as well as task-oriented agents that generally engage in discussions intended to reach one or several specific goals, often (but not always) within a specific domain. We also consider the concept of embodied conversational agents, briefly reviewing aspects such as character animation and speech processing. The many different approaches to representing dialogue in CAs are discussed in some detail, along with methods for evaluating such agents, emphasizing the important topics of accountability and interpretability. A brief historical overview is given, followed by an extensive overview of various applications, especially in the fields of health and education. We end the chapter by discussing the benefits and potential risks regarding the societal impact of current and future CA technology.
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