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Publications

2017

Understanding the Energy Saving Potential of Smart Scale Selection in the Viola and Jones Facial Detection Algorithm

Authors
Pérez, N; Faria, S; Coimbra, MT;

Publication
Proceedings of the 10th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2017) - Volume 2: BIOIMAGING, Porto, Portugal, February 21-23, 2017.

Abstract

2017

Preface to the book of proceedings

Authors
Avellan, F; Silva, B; Moreira, C;

Publication
Journal of Physics: Conference Series

Abstract

2017

Evaluation of Ensemble Methods in Imbalanced Regression Tasks

Authors
Moniz, N; Branco, P; Torgo, L;

Publication
First International Workshop on Learning with Imbalanced Domains: Theory and Applications, LIDTA@PKDD/ECML 2017, 22 September 2017, Skopje, Macedonia

Abstract

2017

Recent Advances in Fiber Cavity Ring-down Technology

Authors
Silva, S; Frazao, O;

Publication
PROCEEDINGS OF THE 5TH INTERNATIONAL CONFERENCE ON PHOTONICS, OPTICS AND LASER TECHNOLOGY (PHOTOPTICS)

Abstract
A brief review in the fibre cavity ring-down (CRD) technique is presented. It addresses the latest developments in CRD technique for sensing applications, undergone at INESC TEC. The CRD is based on the conventional configuration with the possibility of adding amplification in order to compensate the output signal losses induced by the sensing head. The results obtained for strain, curvature and refractive index sensing are presented, corresponding to distinct sensing structures, namely, a chirped fibre Bragg grating (FBG), a long period grating (LPG) and a multimode interference (MMI) based sensor.

2017

Learning Frameworks in a Social-Intensive Knowledge Environment - An Empirical Study

Authors
Flores, N; Aguiar, A;

Publication
INTERNATIONAL JOURNAL OF SOFTWARE ENGINEERING AND KNOWLEDGE ENGINEERING

Abstract
Application frameworks are a powerful technique for large-scale reuse, but require a considerable effort to understand them. Good documentation is costly, as it needs to address different audiences with disparate learning needs. When code and documentation prove insuficient, developers turn to their network of experts. Nevertheless, this proves difficult, mainly due to the lack of expertise awareness (who to ask), wasteful interruptions of the wrong people and unavailability ( either due to intrusion or time constraints). The DRIVER platform is a collaborative learning environment where framework users can, in a non-intrusive way, store and share their learning knowledge while following the best practices of framework understanding (patterns). Developed by the authors, it provides a framework documentation repository, mounted on a wiki, where the learning paths of the community of learners can be captured, shared, rated, and recommended. Combining these social activities, the DRIVER platform promotes collaborative learning, mitigating intrusiveness, unavailability of experts and loss of tacit knowledge. This paper presents the assessment of DRIVER using a controlled academic experiment that measured the performance, effectiveness and framework knowledge intake of MSc students. The study concluded that, especially for novice learners, the platform allows for a faster and more effective learning process.

2017

Preface

Authors
Rocha, Á; Correia, AM; Adeli, H; Reis, LP; Costanzo, S;

Publication
Advances in Intelligent Systems and Computing

Abstract

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