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Business process variability is an active research area in the field of business process management and deals with variations and commonalities among processes of a given process family. Many theoretical approaches have been suggested in the last years; however, practical implementations are rare and limited in their functionality. In this paper, we propose a new approach for business process variability...
Recent advances in sample efficient reinforcement learning algorithms in quasi-deterministic environments highlight the requirement for computationally inexpensive visual representations. Here we investigate non-parametric dimensionality reduction techniques based on random linear transformations and we provide empirical evidence on the importance of high-variance projections using sparse random matrices...
Product Line (PL) configuration practices have been employed by industries as a mass customization process. However, due to the NP-hard nature of the process, performance concerns start to be an issue when facing large-scale configuration spaces. The aim of my doctoral research is therefore to propose an efficient collaborative-based recommender system that provides accurate and scalable solutions...
This position paper addresses the issue of startups and technical debt. Early stage startups condition makes creating technical debt an almost mandatory decision. Not managing technical debt can be deadly for a startup as fast product iteration cycle is necessary. We here introduce a technique for managing technical debt based on Visual Thinking. The technique addresses the problem of knowing how...
While there is an increased appreciation for integrating haptic feedback with audio-visual content, there is still a lack of understanding of how to quantify the added value of touch for a user's experience (UX) of multimedia content. Here we focus on three main concepts to measure this added value: UX, emotions, and expectations. We present a case study measuring the added value of haptic feedback...
A major goal of computer vision is to enable computers to interpret visual situations — abstract concepts (e.g., “a person walking a dog,” “a crowd waiting for a bus,” “a picnic”) whose image instantiations are linked more by their common spatial and semantic structure than by low-level visual similarity. In this paper, we propose a novel method for prior learning and active object localization for...
Robotic agents, when not equipped with traditional means to capture information about their surroundings, must autonomously learn to extract this information from a very complex environment. In the context of developmental robotics, we use unsupervised representation learning, and more specifically deep autoencoders, in order to capture visual representations. These generic visual representations...
The current paper presents a novel recurrent neural network model, predictive multiple spatio-temporal scales RNN (P-MSTRNN), which can generate as well as recognize dynamic visual patterns in a predictive coding framework. The model is characterized by multiple spatio-temporal scales imposed on neural unit dynamics through which an adequate spatio-temporal hierarchy develops via learning from exemplars...
Robotic development suffers from a long cognitive distance between the code and the resulting behavior. This is due to the several steps necessary to build robotic behaviors: writing the code, compiling it, deploying it and finally testing it on the robot. All this slows down development and can make experimentation prohibitively expensive. In contrast, Live Programming tightens the feedback loop,...
New pedagogical methods delivered through mobile mixed reality (via a user-supplied mobile phone incorporating 3d printing and augmented reality) are becoming possible in distance education, shifting pedagogy from 2D images, words and videos to interactive simulations and immersive mobile skill training environments. This paper presents insights from the implementation and testing of a mobile mixed...
This research explores the effects of providing on-time automated assessment in a co-located collaborative system for Entity-Relationship design. In addition, students' perceptions about the validity and usefulness of this automated assessment, and its potential for reflection were analyzed. Thirty undergraduate students from computer science participated in the study, a quasi-experimental pre-post...
The popular agile practice of continuous integration has become an essential part of the software development process in many companies, sometimes to the extent that delivery to customer is impossible without it. Due to this pivotal role it is an important field of research to better understand the practice: continuous integration system behavior, improvement identification and analysis of change...
Human-robot teams can incorporate advanced technology such as distributed mobile sensor networks, integrated communications, visualization technology, and other means to acquire and assess information. These factors can greatly affect mission effectiveness, safety, and survivability, by providing critical information and suggesting courses of action. However, information overload can result. Tactical...
Automatic transcriptions of consumer generated multi-media content such as “Youtube” videos still exhibit high word error rates. Such data typically occupies a very broad domain, has been recorded in challenging conditions, with cheap hardware and a focus on the visual modality, and may have been post-processed or edited.
Android applications are built with a set of different component types that serve specific purposes. Thanks to Android's system design they can interact with each other in a variety of ways, which makes it possible to complete complex tasks. The downside of the flexible interconnectivity of system components is that the relationship between them can be very complex and hard to understand. To give...
While the abundance of visual content available on the Internet, and the easy access to such content by all users allows us to find relevant content quickly, it also poses challenges. For example, if a parent wants to restrict the visual content which their child can see, this content needs to either be automatically tagged as offensive or not, or a computer vision algorithm needs to be trained to...
Current studies on software development either focus on the change history of source code from version-control systems or on an analysis of simplistic in-IDE events without context information. Each of these approaches contains valuable information that is unavailable in the other case. Our work proposes enriched event streams, a solution that combines the best of both worlds and provides a holistic...
Detecting actions or verbs in still images is a challenging problem for a variety of reasons such as the absence of temporal information and polysemy of verbs which lead to difficulty in generating large verb datasets. In this paper, we propose to first detect the prominent objects in the image and then infer the relevant actions or verbs using Natural Language Processing (NLP)-based techniques. The...
Misperception of egocentric distances in virtual reality is a well established effect, with many known influencing factors but no clear cause or correction. Herein is proposed a course of research that explores this effect on three fronts: exploring perceptual calibrations, corrections based on known influences and observed misperception rather than a perfect understanding of the causes of misperception;...
A divide between design and engineering in both knowledge management literature and industrial practices has received the renewed attention. The knowledge gap has caused extended usage of resources for tracking the correct information and verifying requirements during a system design or redesign process to date. The late-design changes, due to missing information or new requirements in developing...
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