Zobrazeno 1 - 10
of 62
pro vyhledávání: '"Mahyar, Narges"'
Autor:
Mahyar, Narges
The urgency of climate change is now recognized globally. As humanity confronts the critical need to mitigate climate change and foster sustainability, data visualization emerges as a powerful tool with a unique capacity to communicate insights cruci
Externí odkaz:
http://arxiv.org/abs/2410.17411
Autor:
Mahyar, Narges
Information visualization holds significant potential to support sustainability goals such as environmental stewardship, and climate resilience by transforming complex data into accessible visual formats that enhance public understanding of complex c
Externí odkaz:
http://arxiv.org/abs/2409.03611
Autor:
Nanayakkara, Priyanka, Kim, Hyeok, Wu, Yifan, Sarvghad, Ali, Mahyar, Narges, Miklau, Gerome, Hullman, Jessica
Publikováno v:
in 2024 IEEE Symposium on Security and Privacy (SP), San Francisco, CA, USA, 2024 pp. 231-231
Differential privacy (DP) has the potential to enable privacy-preserving analysis on sensitive data, but requires analysts to judiciously spend a limited ``privacy loss budget'' $\epsilon$ across queries. Analysts conducting exploratory analyses do n
Externí odkaz:
http://arxiv.org/abs/2406.01964
In the face of complex decisions, people often engage in a three-stage process that spans from (1) exploring and analyzing pertinent information (intelligence); (2) generating and exploring alternative options (design); and ultimately culminating in
Externí odkaz:
http://arxiv.org/abs/2307.08326
Autor:
Mysore, Sheshera, Jasim, Mahmood, Song, Haoru, Akbar, Sarah, Randall, Andre Kenneth Chase, Mahyar, Narges
Keeping up with the research literature plays an important role in the workflow of scientists - allowing them to understand a field, formulate the problems they focus on, and develop the solutions that they contribute, which in turn shape the nature
Externí odkaz:
http://arxiv.org/abs/2301.03774
Autor:
Kucher, Kostiantyn, Sultanum, Nicole, Daza, Angel, Simaki, Vasiliki, Skeppstedt, Maria, Plank, Barbara, Fekete, Jean-Daniel, Mahyar, Narges
Appropriate evaluation and experimental design are fundamental for empirical sciences, particularly in data-driven fields. Due to the successes in computational modeling of languages, for instance, research outcomes are having an increasingly immedia
Externí odkaz:
http://arxiv.org/abs/2209.11534
Autor:
Haghighatkhah, Pantea, El-Assady, Mennatallah, Fekete, Jean-Daniel, Mahyar, Narges, Paradis, Carita, Simaki, Vasiliki, Speckmann, Bettina
Current visual text analysis approaches rely on sophisticated processing pipelines. Each step of such a pipeline potentially amplifies any uncertainties from the previous step. To ensure the comprehensibility and interoperability of the results, it i
Externí odkaz:
http://arxiv.org/abs/2209.13498
Historians and archivists often find and analyze the occurrences of query words in newspaper archives, to help answer fundamental questions about society. But much work in text analytics focuses on helping people investigate other textual units, such
Externí odkaz:
http://arxiv.org/abs/2204.04694
In this study, we investigate how supporting serendipitous discovery and analysis of online product reviews can encourage readers to explore reviews more comprehensively prior to making purchase decisions. We propose two interventions -- Exploration
Externí odkaz:
http://arxiv.org/abs/2202.06221
Accompanying a data visualization with metadata may benefit readers by facilitating content understanding, strengthening trust, and providing accountability. However, providing this kind of information may also have negative, unintended consequences,
Externí odkaz:
http://arxiv.org/abs/2108.13270