Lior Wolf
Biographic Data
| ID | 6692886 |
|---|---|
| NAME | Lior Wolf |
| GIVEN NAMES | Lior |
| FAMILY NAME | Wolf |
| SIGNATURE | WOLF L |
| AFFILIATIONS | Tel Aviv University |
| ORCID | 0000-0001-5578-8892 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 9 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2019 |
| LATEST PUBLICATION YEAR | 2021 |
| H-INDEX | 2 |
The automatic recognition of ceramics from only one photo
Predicting Affect Classification in Mental Status Examination Using Machine Learning Face Action Recognition System
Classifying patients' affect is a pivotal part of the mental status examination. However, this common practice is often widely inconsistent between raters. Recent advances in the field of Facial Action Recognition (FAR) have enabled the development of tools that can act to identify facial expressions from videos. In this study, we aimed to explore the potential of using machine learning techniques on FAR features extracted from videotaped semi-st…
Developing the ArchAide application
Every day, archaeologists are working to discover and tell stories using objects from the past, investing considerable time, effort and funding to identify and characterise individual finds. Pottery is of fundamental importance for the comprehension and dating of archaeological contexts, and for understanding the dynamics of production, trade flows, and social interactions. Today, characterisation and classification of ceramics are carried out ma…
Developing the ArchAide application
Every day, archaeologists are working to discover and tell stories using objects from the past, investing considerable time, effort and funding to identify and characterise individual finds. Pottery is of fundamental importance for the comprehension and dating of archaeological contexts, and for understanding the dynamics of production, trade flows, and social interactions. Today, characterisation and classification of ceramics are carried out ma…
The automatic recognition of ceramics from only one photo
Predicting Affect Classification in Mental Status Examination Using Machine Learning Face Action Recognition System
Classifying patients' affect is a pivotal part of the mental status examination. However, this common practice is often widely inconsistent between raters. Recent advances in the field of Facial Action Recognition (FAR) have enabled the development of tools that can act to identify facial expressions from videos. In this study, we aimed to explore the potential of using machine learning techniques on FAR features extracted from videotaped semi-st…
Developing the ArchAide application
Every day, archaeologists are working to discover and tell stories using objects from the past, investing considerable time, effort and funding to identify and characterise individual finds. Pottery is of fundamental importance for the comprehension and dating of archaeological contexts, and for understanding the dynamics of production, trade flows, and social interactions. Today, characterisation and classification of ceramics are carried out ma…
The automatic recognition of ceramics from only one photo
Computer Science (3 works) · 3D Surveying and Cultural Heritage (2 works) · Archaeological Research and Protection (2 works) · Archaeology (2 works) · Artificial Intelligence (2 works) · Image Processing and 3D Reconstruction (2 works) · Machine learning (2 works) · Action (physics (1 work) · Affect (linguistics (1 work) · Architecture (1 work)