[HTML][HTML] A review of recent deep learning approaches in human-centered machine learning
T Kaluarachchi, A Reis, S Nanayakkara - Sensors, 2021 - mdpi.com
After Deep Learning (DL) regained popularity recently, the Artificial Intelligence (AI) or
Machine Learning (ML) field is undergoing rapid growth concerning research and real-world …
Machine Learning (ML) field is undergoing rapid growth concerning research and real-world …
Understanding design collaboration between designers and artificial intelligence: a systematic literature review
Recent interest in design through the artificial intelligence (AI) lens is rapidly increasing.
Designers, as a special user group interacting with AI, have received more attention in the …
Designers, as a special user group interacting with AI, have received more attention in the …
Beyond text generation: Supporting writers with continuous automatic text summaries
We propose a text editor to help users plan, structure and reflect on their writing process. It
provides continuously updated paragraph-wise summaries as margin annotations, using …
provides continuously updated paragraph-wise summaries as margin annotations, using …
Deep learning for free-hand sketch: A survey
Free-hand sketches are highly illustrative, and have been widely used by humans to depict
objects or stories from ancient times to the present. The recent prevalence of touchscreen …
objects or stories from ancient times to the present. The recent prevalence of touchscreen …
Evaluating a large language model on searching for gui layouts
P Brie, N Burny, A Sluÿters… - Proceedings of the ACM on …, 2023 - dl.acm.org
The field of generative artificial intelligence has seen significant advancements in recent
years with the advent of large language models, which have shown impressive results in …
years with the advent of large language models, which have shown impressive results in …
Modern evolution strategies for creativity: Fitting concrete images and abstract concepts
Evolutionary algorithms (ES) have been used in the digital art scene since the 1970s. A
popular application of genetic algorithms is to optimize the procedural placement of vector …
popular application of genetic algorithms is to optimize the procedural placement of vector …
Cloud2curve: Generation and vectorization of parametric sketches
Abstract Analysis of human sketches in deep learning has advanced immensely through the
use of waypoint-sequences rather than raster-graphic representations. We further aim to …
use of waypoint-sequences rather than raster-graphic representations. We further aim to …
Artinter: AI-Powered Boundary Objects for Commissioning Visual Arts
When commissioning visual art, clients and artists communicate to agree on what is to be
created. This often requires bridging a language gap in how they conceive art. To arrive at a …
created. This often requires bridging a language gap in how they conceive art. To arrive at a …
Deep learning methods of cross-modal tasks for conceptual design of product shapes: A review
Conceptual design is the foundational stage of a design process that translates ill-defined
design problems into low-fidelity design concepts and prototypes through design search …
design problems into low-fidelity design concepts and prototypes through design search …
Creating user interface mock-ups from high-level text descriptions with deep-learning models
The design process of user interfaces (UIs) often begins with articulating high-level design
goals. Translating these high-level design goals into concrete design mock-ups, however …
goals. Translating these high-level design goals into concrete design mock-ups, however …