Zobrazeno 1 - 10
of 1 911
pro vyhledávání: '"P. Passi"'
The year 2020 was a challenging year known mainly as the pandemic year. However, the notable event of George Floyd's killing broke many humans' hearts and made them protest on social media and the streets as well. In this research, we studied the has
Externí odkaz:
http://arxiv.org/abs/2304.06480
Autor:
Castillo-Passi, Carlos, Coronado, Ronal, Varela-Mattatall, Gabriel, Alberola-López, Carlos, Botnar, René, Irarrazaval, Pablo
Purpose: To develop an open-source, high-performance, easy-to-use, extensible, cross-platform, and general MRI simulation framework (Koma). Methods: Koma was developed using the Julia programming language. Like other MRI simulators, it solves the Blo
Externí odkaz:
http://arxiv.org/abs/2301.02702
Autor:
Pandey, Himadri, Morales, Jorge Daniel Aguirre, Kataria, Satender, Fregonese, Sebastien, Passi, Vikram, Iannazzo, Mario, Zimmer, Thomas, Alarcon, Eduard, Lemme, Max C.
Publikováno v:
Annalen der Physik, 529 (11), 1700106, 2017
We report on electronic transport in dual-gate, artificially stacked bilayer graphene field effect transistors (BiGFETs) fabricated from large-area chemical vapor deposited (CVD) graphene. The devices show enhanced tendency to current saturation, whi
Externí odkaz:
http://arxiv.org/abs/2212.01877
Autor:
Gahoi, Amit, Wagner, Stefan, Bablich, Andreas, Kataria, Satender, Passi, Vikram, Lemme, Max C.
Publikováno v:
Solid-State Electronics, Volume 125, November, Pages 234-239, 2016
In this study, the contact resistance of various metals to chemical vapour deposited (CVD) monolayer graphene is investigated. Transfer length method (TLM) structures with varying widths and separation between contacts have been fabricated and electr
Externí odkaz:
http://arxiv.org/abs/2211.12415
Publikováno v:
ACM CSCW 2024
Mistakes in AI systems are inevitable, arising from both technical limitations and sociotechnical gaps. While black-boxing AI systems can make the user experience seamless, hiding the seams risks disempowering users to mitigate fallouts from AI mista
Externí odkaz:
http://arxiv.org/abs/2211.06753
Autor:
Ehsan, Upol, Passi, Samir, Liao, Q. Vera, Chan, Larry, Lee, I-Hsiang, Muller, Michael, Riedl, Mark O.
Publikováno v:
ACM CHI 2024
Explainability of AI systems is critical for users to take informed actions. Understanding "who" opens the black-box of AI is just as important as opening it. We conduct a mixed-methods study of how two different groups--people with and without AI ba
Externí odkaz:
http://arxiv.org/abs/2107.13509
Autor:
Passi, Samir, Sengers, Phoebe
In this workshop paper, we use an empirical example from our ongoing fieldwork, to showcase the complexity and situatedness of the process of making sense of algorithmic results; i.e. how to evaluate, validate, and contextualize algorithmic outputs.
Externí odkaz:
http://arxiv.org/abs/2102.07844
Over the past few years, there has been a considerable spread of microarray technology in many biological patterns, particularly in those pertaining to cancer diseases like leukemia, prostate, colon cancer, etc. The primary bottleneck that one experi
Externí odkaz:
http://arxiv.org/abs/2007.08652
The augmentation powers in an integral group ring $\mathbb ZG$ induce a natural filtration of the unit group of $\mathbb ZG$ analogous to the filtration of the group $G$ given by its dimension series $\{D_n(G)\}_{n\ge 1}$. The purpose of the present
Externí odkaz:
http://arxiv.org/abs/2004.01436
Autor:
Passi, Samir, Jackson, Steven J.
Publikováno v:
Proc. ACM Hum.-Comput. Interact. 2, CSCW, Article 136 (November 2018), 28 pages
The trustworthiness of data science systems in applied and real-world settings emerges from the resolution of specific tensions through situated, pragmatic, and ongoing forms of work. Drawing on research in CSCW, critical data studies, and history an
Externí odkaz:
http://arxiv.org/abs/2002.03389