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Adaptive shared control with human intention estimation for human agent collaboration
(IEEE, 2022)
In this paper an adaptive shared control frame-work for human agent collaboration is introduced. In this framework the agent predicts the human intention with a confidence factor that also serves as the control blending ...
On the use of machine learning for predicting defect fix time violations
(Science and Technology Publications, 2022)
Accurate prediction of defect fix time is important for estimating and coordinating software maintenance efforts. Likewise, it is useful to predict whether or not the initially estimated defect fix time will be exceeded ...
Automated adaptive playback for encoder-adjudicated live sports
(IEEE, 2022)
In low-latency live streaming, it is not easy to simultaneously avoid stalls and maintain low latency. The trade-off needs to be decided in real time. One of the best tools for controlling the buffer level (hence, the ...
YOLODrone+: improved YOLO architecture for object detection in UAV images
(IEEE, 2022)
The performance of object detection algorithms running on images taken from Unmanned Aerial Vehicles (UAVs) remains limited when compared to the object detection algorithms running on ground taken images. Due to its various ...
Genetic algorithms and heuristics hybridized for software architecture recovery
(Springer, 2023-06-26)
Large scale software systems must be decomposed into modular units to reduce maintenance efforts. Software Architecture Recovery (SAR) approaches have been introduced to analyze dependencies among software modules and ...
Rate-adaptive streaming of 360-degree videos with head-motion-aware viewport margins
(IEEE, 2022)
Efficient use of available bandwidth is vital when streaming 360-degree videos as users rarely have enough bandwidth for a pleasant experience. A promising solution is the combination of viewport-dependent streaming using ...
Patch-wise contrastive style learning for instagram filter removal
(IEEE, 2022)
Image-level corruptions and perturbations degrade the performance of CNNs on different downstream vision tasks. Social media filters are one of the most common resources of various corruptions and perturbations for real-world ...
Continual learning for affective robotics: A proof of concept for wellbeing
(IEEE, 2022)
Sustaining real-world human-robot interactions re-quires robots to be sensitive to human behavioural idiosyn-crasies and adapt their perception and behaviour models to cater to these individual preferences. For affective ...
Effort estimation for architectural refactoring of data tier software
(IEEE, 2022)
Architectural refactoring requires substantial effort. We introduce an approach and a tool to predict this effort prior to refactoring. We focus on PL/SQL programs that are developed as data access tiers of business software. ...
Summary of an effective formulation of the multi-criteria test suite minimization problem
(IEEE, 2022)
This is an extended abstract of the article: Okan Orsan Ozener and Hasan Sozer, 'An Effective Formulation of the Multi-Criteria Test Suite Minimization Problem', published in the Journal of Systems and Software, Vol. 168, ...
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