Searched for: author%3A%22Bozzon%2C+A.%22
(1 - 20 of 96)

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Mauri, A. (author), Bozzon, A. (author), De Kok, Roos (author)
Understanding how individuals consume energy is considered to be a fundamental step in improving energy conservation and stimulating energy efficiency. Multiple studies have shown how feedback loops encourage en-<br/>ergy conservation and efficiency among policy makers and citizens. Fischer (2008), for instance, explores the ways in which a...
book chapter 2019
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van Asten, T. (author), Milias, V. (author), Bozzon, A. (author), Psyllidis, A. (author)
Neighborhood safety and its perception are important determinants of citizens’ health and well-being. Contemporary urban design guidelines often advocate urban forms that encourage natural surveillance or “eyes on the street” to promote community safety. However, assessing a neighborhood’s level of natural surveillance is challenging due to its...
book chapter 2023
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Psyllidis, A. (author), Bozzon, A. (author), Bocconi, S. (author), Titos Bolivar, C. (author)
Understanding the complexity of urban dynamics requires the combination of information from multiple city data sources. Besides traditional urban data, geo-localized social media provide human-generated content, which may reflect in (near) real time the activities people undertake in cities. The challenge is to devise methods and tools that...
conference paper 2015
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Yang, J. (author), Hauff, C. (author), Bozzon, A. (author), Houben, G.J.P.M. (author)
Collaborative Question Answering (cQA) platforms are a very popular repository of crowd-generated knowledge. By formulating questions, users express needs that other members of the cQA community try to collaboratively satisfy. Poorly formulated questions are less likely to receive useful responses, thus hindering the overall knowledge generation...
conference paper 2014
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Jung, Ji-Youn (author), Murray-Rust, D.S. (author), Gadiraju, Ujwal (author), Bozzon, A. (author)
When creating conversational agents, designers have to make decisions about the way the agents present themselves. In this position paper, we identify and synthesize ethical dilemmas that conversational interface designers and researchers face around gender of conversational agents. First, we identify three layers that cause tension in designing...
conference paper 2023
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Li, Z. (author), Hai, R. (author), Bozzon, A. (author), Katsifodimos, A (author)
Machine learning (ML) practitioners and organizations are building model zoos of pre-trained models, containing metadata describing properties of the ML models and datasets that are useful for reporting, auditing, reproducibility, and interpretability purposes. The metatada is currently not standardised; its expressivity is limited; and there is...
conference paper 2022
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Qiu, S. (author), Gadiraju, Ujwal (author), Bozzon, A. (author)
Due to the coronavirus pandemic, remote work from home has rapidly become a necessity around the world, drastically changing the potential landscape for the future of work. Over the last couple of decades, microtask crowdsourcing has emerged as a viable means of carrying out remote online work to earn one’s living — an alternative to traditional...
conference paper 2020
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Balayn, A.M.A. (author), SOILIS, P. (author), Lofi, C. (author), Yang, J. (author), Bozzon, A. (author)
Global interpretability is a vital requirement for image classification applications. Existing interpretability methods mainly explain a model behavior by identifying salient image patches, which require manual efforts from users to make sense of, and also do not typically support model validation with questions that investigate multiple...
conference paper 2021
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Samiotis, I.P. (author), Lofi, C. (author), Bozzon, A. (author)
Automated methods and human annotation are being extensively utilized to scale up modern classification systems. Processes though such as music transcription, oppose certain challenges due to the complexity of the domain and the expertise needed to read and process music scores. In this work, we examine how music transcription could benefit from...
conference paper 2021
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Draws, T.A. (author), Tintarev, N. (author), Gadiraju, Ujwal (author), Bozzon, A. (author), Timmermans, B. (author)
In web search on debated topics, algorithmic and cognitive biases strongly influence how users consume and process information. Recent research has shown that this can lead to a search engine manipulation effect (SEME): when search result rankings are biased towards a particular viewpoint, users tend to adopt this favored viewpoint. To better...
conference paper 2021
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van Alphen, G.A. (author), Qiu, S. (author), Bozzon, A. (author), Houben, G.J.P.M. (author)
In online crowd mapping, crowd workers recruited through crowdsourcing marketplaces collect geographic data. Compared to traditional mapping methods, where workers physically explore the area, the benefit of using online crowd mapping is the potential to be cost-effective and time-efficient. Previous studies have focused on mapping urban objects...
conference paper 2020
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Sharifi Noorian, S. (author), Qiu, S. (author), Sayin, Burcu (author), Balayn, A.M.A. (author), Gadiraju, Ujwal (author), Yang, J. (author), Bozzon, A. (author)
High-quality data plays a vital role in developing reliable image classification models. Despite that, what makes an image difficult to classify remains an unstudied topic. This paper provides a first-of-its-kind, model-agnostic characterization of image atypicality based on human understanding. We consider the setting of image classification...
conference paper 2023
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Basak, Debarshi (author), Loni, B. (author), Bozzon, A. (author)
Crowdsourcing and Human computation have enabled industry and<br/>scientists to create innovative solutions by harnessing organised<br/>collective human effort. In human computation platforms, it is<br/>observed that workers spend large amount of time searching for<br/>appropriate tasks due to lack of effective task discovery mechanism. This...
conference paper 2014
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Sharifi Noorian, S. (author), Psyllidis, A. (author), Bozzon, A. (author)
Location models have traditionally played an important role in suggesting sites for the placement of facilities, so that efficient service delivery is ensured. A common formulation of several location models is associated with the p-median problem, which aims to minimize the travel distance between support facilities and demand in a region....
conference paper 2018
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Yang, J. (author), Sun, Zhu (author), Bozzon, A. (author), Zhang, J. (author), Larson, M.A. (author)
The "International Workshop on Recommender Systems for Citizens" (CitRec) is focused on a novel type of recommender systems both in terms of ownership and purpose: recommender systems run by citizens and serving society as a whole.
conference paper 2017
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Mesbah, S. (author), Bozzon, A. (author), Lofi, C. (author), Houben, G.J.P.M. (author)
This demo presents SmartPub, a novel web-based platform that supports the exploration and visualization of shallow meta-data (e.g., author list, keywords) and deep meta-data--long tail named entities which are rare, and often relevant only in specific knowledge domain--from scientific publications. The platform collects documents from different...
conference paper 2018
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de Jong, M. (author), Mavridis, P. (author), Aroyo, Lora (author), Bozzon, A. (author), Vos, Jesse de (author), Oomen, Johan (author), Dimitrova, Antoaneta (author), Badenoch, Alec (author)
In this project we explore the presence of ambiguity in textual and visual media and its influence on accurately understanding and<br/>capturing bias in news. We study this topic in the context of supporting<br/>media scholars and social scientists in their media analysis. Our focus<br/>lies on racial and gender bias as well as framing and the...
conference paper 2018
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Li, Z. (author), Sun, W. (author), Hai, R. (author), Bozzon, A. (author), Katsifodimos, A (author)
The proliferation of pre-trained ML models in public Web-based model zoos facilitates the engineering of ML pipelines to address complex inference queries over datasets and streams of unstructured content. Constructing optimal plan for a query is hard, especially when constraints (e.g. accuracy or execution time) must be taken into consideration...
conference paper 2023
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Li, Z. (author), Hai, R. (author), Katsifodimos, A (author), Bozzon, A. (author)
Machine learning (ML) researchers and practitioners are building repositories of pre-trained models, called model zoos. These model zoos contain metadata that detail various properties of the ML models and datasets, which are useful for reporting, auditing, reproducibility, and interpretability. Unfortunately, the existing metadata...
conference paper 2023
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Qiu, S. (author), Gadiraju, Ujwal (author), Bozzon, A. (author), Houben, G.J.P.M. (author)
The trend of remote work leads to the prosperity of crowdsourcing marketplaces. In crowdsourcing marketplaces, online workers can select their preferable tasks and then complete them to get paid, while requesters design and publish tasks to acquire their desirable data. The standard user interface of the crowdsourcing task is the web page,...
conference paper 2020
Searched for: author%3A%22Bozzon%2C+A.%22
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