Chia-Yu Hsu
Biographic Data
| ID | 3635981 |
|---|---|
| NAME | Chia-Yu Hsu |
| GIVEN NAMES | Chia-Yu |
| FAMILY NAME | Hsu |
| SIGNATURE | HSU C |
| AFFILIATIONS | Arizona State University |
| ORCID | 0000-0002-8923-1213 |
| VERIFIED | Yes |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 5 |
| WORKS AS AUTHOR | 4 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2024 |
| H-INDEX | 1 |
GeoAI Reproducibility and Replicability
GeoAI has emerged as an exciting interdisciplinary research area that combines spatial theories and data with cutting-edge AI models to address geospatial problems in a novel, data-driven manner. Although GeoAI research has flourished in the GIScience literature, its reproducibility and replicability (R&R), fundamental principles that determine the reusability, reliability, and scientific rigor of research findings, have rarely been discussed. Th…
Recidivism of Individuals Who Completed Schedule I Drugs Deferred Prosecution Treatment
Deferred Prosecution with Condition to Complete the Addiction Treatment (DPCCAT) is a judicial diversion program in Taiwan that shifts people who use drugs away from the label drug offender and toward the label patient . However, little is known about the effectiveness of completing a DPCCAT program on people who use drugs. Using a nationwide population-based retrospective panel data from 2008 to 2020, recidivism is defined as a person was caught…
GeoAI for Large-Scale Image Analysis and Machine Vision
GeoAI, or geospatial artificial intelligence, has become a trending topic and the frontier for spatial analytics in Geography. Although much progress has been made in exploring the integration of AI and Geography, there is yet no clear definition of GeoAI, its scope of research, or a broad discussion of how it enables new ways of problem solving across social and environmental sciences. This paper provides a comprehensive overview of GeoAI resear…
Tobler's First Law in GeoAI
Recent interest in geospatial artificial intelligence (GeoAI) has fostered a wide range of applications using artificial intelligence (AI), especially deep learning for geospatial problem solving. Major challenges, however, such as a lack of training data and ignorance of spatial principles and spatial effects in AI model design remain, significantly hindering the in-depth integration of AI with geospatial research. This article reports our work …
Tobler's First Law in GeoAI
Recent interest in geospatial artificial intelligence (GeoAI) has fostered a wide range of applications using artificial intelligence (AI), especially deep learning for geospatial problem solving. Major challenges, however, such as a lack of training data and ignorance of spatial principles and spatial effects in AI model design remain, significantly hindering the in-depth integration of AI with geospatial research. This article reports our work …
GeoAI Reproducibility and Replicability
GeoAI has emerged as an exciting interdisciplinary research area that combines spatial theories and data with cutting-edge AI models to address geospatial problems in a novel, data-driven manner. Although GeoAI research has flourished in the GIScience literature, its reproducibility and replicability (R&R), fundamental principles that determine the reusability, reliability, and scientific rigor of research findings, have rarely been discussed. Th…
Tobler's First Law in GeoAI
Recent interest in geospatial artificial intelligence (GeoAI) has fostered a wide range of applications using artificial intelligence (AI), especially deep learning for geospatial problem solving. Major challenges, however, such as a lack of training data and ignorance of spatial principles and spatial effects in AI model design remain, significantly hindering the in-depth integration of AI with geospatial research. This article reports our work …
GeoAI for Large-Scale Image Analysis and Machine Vision
GeoAI, or geospatial artificial intelligence, has become a trending topic and the frontier for spatial analytics in Geography. Although much progress has been made in exploring the integration of AI and Geography, there is yet no clear definition of GeoAI, its scope of research, or a broad discussion of how it enables new ways of problem solving across social and environmental sciences. This paper provides a comprehensive overview of GeoAI resear…
Recidivism of Individuals Who Completed Schedule I Drugs Deferred Prosecution Treatment
Deferred Prosecution with Condition to Complete the Addiction Treatment (DPCCAT) is a judicial diversion program in Taiwan that shifts people who use drugs away from the label drug offender and toward the label patient . However, little is known about the effectiveness of completing a DPCCAT program on people who use drugs. Using a nationwide population-based retrospective panel data from 2008 to 2020, recidivism is defined as a person was caught…
GeoAI Reproducibility and Replicability
GeoAI has emerged as an exciting interdisciplinary research area that combines spatial theories and data with cutting-edge AI models to address geospatial problems in a novel, data-driven manner. Although GeoAI research has flourished in the GIScience literature, its reproducibility and replicability (R&R), fundamental principles that determine the reusability, reliability, and scientific rigor of research findings, have rarely been discussed. Th…
Artificial Intelligence (3 works) · Computer Science (3 works) · Automated Road and Building Extraction (2 works) · Cartography (2 works) · Data science (2 works) · Geography (2 works) · Remote-Sensing Image Classification (2 works) · Addiction (1 work) · Analytics (1 work) · Big data (1 work)