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- surveySeptember 2024JUST ACCEPTED
A Survey on Stability of Learning with Limited Labelled Data and its Sensitivity to the Effects of Randomness
Learning with limited labelled data, such as prompting, in-context learning, fine-tuning, meta-learning or few-shot learning, aims to effectively train a model using only a small amount of labelled samples. However, these approaches have been observed to ...
Playing with Perspectives and Unveiling the Autoethnographic Kaleidoscope in HCI – A Literature Review of Autoethnographies
CHI '24: Proceedings of the 2024 CHI Conference on Human Factors in Computing SystemsArticle No.: 819, Pages 1–20https://doi.org/10.1145/3613904.3642355Autoethnography is a valuable methodological approach bridging the gap between personal experiences and academic inquiry, enabling researchers to gain deep insights into various dimensions of technology use and design. While its adoption in Human-...
- surveyOctober 2023
Deep Learning Based Occluded Person Re-Identification: A Survey
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM), Volume 20, Issue 3Article No.: 73, Pages 1–27https://doi.org/10.1145/3610534Occluded person re-identification (Re-ID) focuses on addressing the occlusion problem when retrieving the person of interest across non-overlapping cameras. With the increasing demand for intelligent video surveillance and the application of person Re-ID ...
- ArticleNovember 2023
A Literature Survey of Assertions in Software Testing
AbstractAssertions are one of the most useful automated techniques for checking program’s behaviour and hence have been used for different verification and validation tasks. We provide an overview of the last two decades of research involving ‘assertions’ ...
- surveyMay 2023
Modern Code Reviews—Survey of Literature and Practice
ACM Transactions on Software Engineering and Methodology (TOSEM), Volume 32, Issue 4Article No.: 107, Pages 1–61https://doi.org/10.1145/3585004Background: Modern Code Review (MCR) is a lightweight alternative to traditional code inspections. While secondary studies on MCR exist, it is uanknown whether the research community has targeted themes that practitioners consider important.
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- research-articleApril 2023
Literature Reviews in HCI: A Review of Reviews
- Evropi Stefanidi,
- Marit Bentvelzen,
- Paweł W. Woźniak,
- Thomas Kosch,
- Mikołaj P. Woźniak,
- Thomas Mildner,
- Stefan Schneegass,
- Heiko Müller,
- Jasmin Niess
CHI '23: Proceedings of the 2023 CHI Conference on Human Factors in Computing SystemsArticle No.: 509, Pages 1–24https://doi.org/10.1145/3544548.3581332This paper analyses Human-Computer Interaction (HCI) literature reviews to provide a clear conceptual basis for authors, reviewers, and readers. HCI is multidisciplinary and various types of literature reviews exist, from systematic to critical reviews ...
- surveyMarch 2023
Testing, Validation, and Verification of Robotic and Autonomous Systems: A Systematic Review
ACM Transactions on Software Engineering and Methodology (TOSEM), Volume 32, Issue 2Article No.: 51, Pages 1–61https://doi.org/10.1145/3542945We perform a systematic literature review on testing, validation, and verification of robotic and autonomous systems (RAS). The scope of this review covers peer-reviewed research papers proposing, improving, or evaluating testing techniques, processes, or ...
- surveySeptember 2022
Transformers in Vision: A Survey
ACM Computing Surveys (CSUR), Volume 54, Issue 10sArticle No.: 200, Pages 1–41https://doi.org/10.1145/3505244Astounding results from Transformer models on natural language tasks have intrigued the vision community to study their application to computer vision problems. Among their salient benefits, Transformers enable modeling long dependencies between input ...
- research-articleJanuary 2022
A brief survey for person re-identification based on deep learning
International Journal of Computer Applications in Technology (IJCAT), Volume 69, Issue 2Pages 101–111https://doi.org/10.1504/ijcat.2022.126880Person Re-Identification (Re-ID) has been paid more attention due to its wide application in intelligent surveillance systems. Finding the same person from other non-overlapping cameras when a specific image of the pedestrian is given, which is a ...
- research-articleNovember 2021
How Content Drives Interaction With Public Displays
ISS '21: Companion Proceedings of the 2021 Conference on Interactive Surfaces and SpacesPages 25–28https://doi.org/10.1145/3447932.3490525Existing research into user engagement with public displays tends to focus on aspects of visual and interaction design, with less thought given towards how the choice of content may influence user behavior. In this article, we survey the existing ...
- research-articleSeptember 2020
A Survey on Factors Affecting Facial Expression Recognition based on Convolutional Neural Networks
SAICSIT '20: Conference of the South African Institute of Computer Scientists and Information Technologists 2020Pages 168–179https://doi.org/10.1145/3410886.3410891Humans are generally good at recognising emotions which are portrayed on another person’s face. Can the same be said for machines? In recent years, there has been a tremendous amount of progress in the field of computer vision using deep learning ...
- research-articleJuly 2020
Evaluating Creativity Support Tools in HCI Research
DIS '20: Proceedings of the 2020 ACM Designing Interactive Systems ConferencePages 457–476https://doi.org/10.1145/3357236.3395474The design and development of Creativity Support Tools (CSTs) is of growing interest in research at the intersection of creativity and Human-Computer Interaction, and has been identified as a 'grand challenge for HCI'. While creativity research and HCI ...
- surveyJuly 2020
Driver Emotion Recognition for Intelligent Vehicles: A Survey
ACM Computing Surveys (CSUR), Volume 53, Issue 3Article No.: 64, Pages 1–30https://doi.org/10.1145/3388790Driving can occupy a large portion of daily life and often can elicit negative emotional states like anger or stress, which can significantly impact road safety and long-term human health. In recent decades, the arrival of new tools to help recognize ...
- research-articleJune 2020
Methods in Teaching Computer Networks: A Literature Review
ACM Transactions on Computing Education (TOCE), Volume 20, Issue 3Article No.: 19, Pages 1–35https://doi.org/10.1145/3394963This article provides a survey of methods and paradigms for teaching Computer Networks (CN). Since the theoretical concepts are rather abstract in this subject, and students often find them too technical and difficult to understand, many authors attempt ...
- research-articleApril 2020Honorable Mention
The Role of Eye Gaze in Security and Privacy Applications: Survey and Future HCI Research Directions
CHI '20: Proceedings of the 2020 CHI Conference on Human Factors in Computing SystemsPages 1–21https://doi.org/10.1145/3313831.3376840For the past 20 years, researchers have investigated the use of eye tracking in security applications. We present a holistic view on gaze-based security applications. In particular, we canvassed the literature and classify the utility of gaze in security ...
- research-articleFebruary 2020
Towards a Material Landscape of TUIs, Through the Lens of the TEI Proceedings 2008-2019
TEI '20: Proceedings of the Fourteenth International Conference on Tangible, Embedded, and Embodied InteractionPages 95–110https://doi.org/10.1145/3374920.3374944Materials play an influential role in determining the way people interact with and experience objects. This impact is particularly important to TUI designers, as the artefacts they design often afford grasping and physical manipulation. As the ACM ...
- research-articleAugust 2019
What we talk about when we talk about wikidata quality: a literature survey
OpenSym '19: Proceedings of the 15th International Symposium on Open CollaborationArticle No.: 17, Pages 1–11https://doi.org/10.1145/3306446.3340822Launched in 2012, Wikidata has already become a success story. It is a collaborative knowledge graph, whose large community has produced so far data about more than 55 million entities. Understanding the quality of the data in Wikidata is key to its ...
- research-articleJune 2019
A generalized research study on distance measures, learning algorithms and datasets
ICEMIS '19: Proceedings of the 5th International Conference on Engineering and MISArticle No.: 34, Pages 1–7https://doi.org/10.1145/3330431.3330466Intrusion detection system is widely focused on improving the accuracy, time and space constraints by using various measures and techniques. Though many techniques are available to detect the known attacks, the research focus is on detecting the unknown ...
- research-articleJune 2019
Intrusion detection using dimensionality reduced soft matrix
ICEMIS '19: Proceedings of the 5th International Conference on Engineering and MISArticle No.: 33, Pages 1–7https://doi.org/10.1145/3330431.3330465The task of identifying attacks in the real time networks has become a recent point of focus in network security. A classifier performance depends on the input data. Preprocessing dataset fed as input for classifier is usually required to make the ...
- research-articleOctober 2018
PAREEKSHA: a machine learning approach for intrusion and anomaly detection
DATA '18: Proceedings of the First International Conference on Data Science, E-learning and Information SystemsArticle No.: 36, Pages 1–6https://doi.org/10.1145/3279996.3280032Membership functions help us to identify and know the similarity between two elements such as vectors or sequences. The objective of this paper is to suggest a membership function and apply this membership function for learning the nature of dataset. In ...