Zobrazeno 1 - 10
of 2 277
pro vyhledávání: '"P, Böhlen"'
Autor:
Böhlen, Marc, Sughiarta, Gede, Kurnianingsih, Atiek, Gopaladinne, Srikar Reddy, Shrivastava, Sujay, Gorla, Hemanth Kumar Reddy
This paper describes spatially aware Artificial Intelligence, GeoAI, tailored for small organizations such as NGOs in resource constrained contexts where access to large datasets, expensive compute infrastructure and AI expertise may be restricted. W
Externí odkaz:
http://arxiv.org/abs/2408.17361
Autor:
Böhlen, Marc, Chen, Ruolin, Dong, Xiaoxu, Gopaladinne, Srikar, Gorla, Hemanth, Kandukuri, Divya, Mansfield, Sean
This text describes experiences gained across a two-year test period during which two generations of Generative Artificial Intelligence (A.I.) systems were incorporated into an interdisciplinary, university level course on A.I. for art and design pra
Externí odkaz:
http://arxiv.org/abs/2401.16268
Frequent queries on semi-structured hierarchical data are Content-and-Structure (CAS) queries that filter data items based on their location in the hierarchical structure and their value for some attribute. We propose the Robust and Scalable Content-
Externí odkaz:
http://arxiv.org/abs/2209.05126
Answering connectivity queries is fundamental to fully dynamic graphs where edges and vertices are inserted and deleted frequently. Existing work proposes data structures and algorithms with worst-case guarantees. We propose a new data structure, the
Externí odkaz:
http://arxiv.org/abs/2207.06887
Publikováno v:
ICMLA 2021
Image classifiers work effectively when applied on structured images, yet they often fail when applied on images with very high visual complexity. This paper describes experiments applying state-of-the-art object classifiers toward a unique set of im
Externí odkaz:
http://arxiv.org/abs/2109.12040
Autor:
Michael Rade, Sebastian Böhlen, Vanessa Neuhaus, Dennis Löffler, Conny Blumert, Maximilian Merz, Ulrike Köhl, Susann Dehmel, Katherina Sewald, Kristin Reiche
Publikováno v:
Genome Biology, Vol 24, Iss 1, Pp 1-26 (2023)
Abstract Background The coordinated transcriptional regulation of activated T-cells is based on a complex dynamic behavior of signaling networks. Given an external stimulus, T-cell gene expression is characterized by impulse and sustained patterns ov
Externí odkaz:
https://doaj.org/article/ffa3005e33b34cc29a0db10630ff1cf6
Autor:
Böhlen, Marc
Publikováno v:
9th Conference on Computation, Communication, Aesthetics & X 2021
This text argues for the potential of machine learning infused classification systems as vectors for a technically-engaged and constructive technology critique. The text describes this potential with several experiments in image data creation and neu
Externí odkaz:
http://arxiv.org/abs/2104.03886
Autor:
Böhlen, Marc, Sujarwo, Wawan
This paper gives an overview of the project Return to Bali that seeks to create a living dataset of ethnobotanically significant flora on the island of Bali and new methods through which underrepresented forms of knowledge can be documented, shared a
Externí odkaz:
http://arxiv.org/abs/2009.00597
Autor:
Böhlen, Marc, Sujarwo, Wawan
We describe new opportunities afforded by bring A.I to the field of ethnobotany. In particular we describe a novel approach to ethnobotany documentation that harnesses machine learning opportunities, specifically for the documentation of traditional
Externí odkaz:
http://arxiv.org/abs/2008.01611
We propose a robust index for semi-structured hierarchical data that supports content-and-structure (CAS) queries specified by path and value predicates. At the heart of our approach is a novel dynamic interleaving scheme that merges the path and val
Externí odkaz:
http://arxiv.org/abs/2006.05134