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This paper investigates how working of Convolutional Neural Network (CNN) can be explained through visualization in the context of machine perception of autonomous vehicles. We visualize what type of features are extracted in different convolution ...
This paper presents a Web service that supports the automatic generation of video summaries for user-submitted videos. The developed Web application decomposes the video into segments, evaluates the fitness of each segment to be included in the video ...
In this paper we present an early Apprenticeship Learning approach to mimic the behaviour of different players in a short adaption of the interactive fiction Anchorhead. Our motivation is the need to understand and simulate player behaviour to create ...
Driver distraction is a major issue in manual driving, causing more than 30'000 fatal crashes on US roadways in 2015 only [11]. As such, it is widely studied in order to increase driving safety. Many studies show how to detect driver distraction using ...
This paper investigates performance of three state-of-the-art pretrained Convolutional Neural Network (CNN) models in terms of accuracy and latency for on and off-road obstacle detection in context of autonomous vehicle in Indian road. We investigated ...
Do video games improve problem solving? Eighty-one participants played a roller coaster tycoon or answered a series of personality questionnaires prior to attempting insight problems. Participants played Roller Coaster Tycoon Deluxe for 30 minutes game ...
Robotic kits in designs for STEM education are becoming popular during the last few years. However, many of them focus mainly on programming leaving aside the electronics and engineering parts of robotics. In this paper we present RobIn (Robotic Insect),...
Driver behavior assessments involve calculating a driving score by counting the number of "negative" driving maneuvers (i.e., hard brake and rapid acceleration), but do not take the effects of driving context into account. This paper demonstrates the ...
Modern deep neural networks have achieved impressive results in a variety of automated tasks, such as text generation, grammar learning, and speech recognition. This paper discusses how education research might leverage recurrent neural network ...
Preliminary research is presented on the generalisability of confusion, urgency and sentiment classifiers for MOOC forum posts. The Stanford MOOCPosts data set is used to train classifiers with forum posts from individual courses and validate these ...
This work-in-progress paper elaborates on a gradually evolving approach to design of open learning and the design principles used by the Open University of the Netherlands in short open courses - online masterclasses and in Massive Open Online Courses --...
Authentic problem solving tasks in digital environments are often open-ended with ill-defined pathways to a goal state. Scaffolds and formative feedback during this process help learners develop the requisite skills and understanding, but require ...
One of the Educational Data Mining (EDM) main aims is to predict the final student's performance, analyzing their behavior in the Learning Management Systems (LMSs). Many studies make use of different classifiers to reach this goal, using the total ...
This study proposes a standardised open framework to automatically generate and label discussion topics from Massive Open Online Courses (MOOCs). The proposed framework expects to overcome the issues experienced by MOOC participants and teaching staff ...
In this paper, we describe a scalable learning analytics platform which runs generalized analytics models on educational data in parallel. As a proof of concept, we use this platform as a base for an end-to-end automated writing feedback system. The ...
Students in online courses generate large amounts of data that can be used to personalize the learning process and improve quality of education. In this paper, we present the Latent Skill Embedding (LSE), a probabilistic model of students and ...
Despite the autonomy gain provided by the Web for blind people, its access for this population still remains difficult. Today, web accessibility is practically restricted to the normative accessibility guaranteed by the application of design standards. ...
In response to the recent European Directive the UK government sanctioned the use of drones by commercial providers subject to pilots holding an approved Drone Pilot Proficiency Certificate (DPPC). As the government anticipated the main use has been in ...
With major intellectual properties there is a long tradition of cross-media value chains -- usually starting with books and comics, then transgressing to film and TV and finally reaching interactive media like video games. In recent years the situation ...
In this paper, an innovative solution is presented: a smart emotional system for impaired people's TV. It aims to accompany the cognitive information contained in a movie, with the affective content. The affect is then communicated to the movie viewers ...