| Perspectives on Becoming an Applied Machine Learning Scientist. | 0 | 0.34 | 2019 |
| Construction and evaluation of ontological tag trees | 1 | 0.37 | 2015 |
| Combining deep learning and unsupervised clustering to improve scene recognition performance | 0 | 0.34 | 2015 |
| Multi-Label Cross-Modal Retrieval | 58 | 1.11 | 2015 |
| The Beauty of Capturing Faces: Rating the Quality of Digital Portraits. | 16 | 0.65 | 2015 |
| Construction of tag ontological graphs by locally minimizing weighted average hops | 1 | 0.35 | 2014 |
| On the Role of Correlation and Abstraction in Cross-Modal Multimedia Retrieval | 153 | 2.86 | 2014 |
| Cluster Canonical Correlation Analysis. | 32 | 0.78 | 2014 |
| Do we need annotation experts? A case study in celiac disease classification. | 7 | 0.49 | 2014 |
| Latent Dirichlet Allocation Models for Image Classification | 30 | 0.97 | 2013 |
| Class-Specific Simplex-Latent Dirichlet Allocation for Image Classification | 2 | 0.38 | 2013 |
| Endoscopic image analysis in semantic space. | 8 | 0.60 | 2012 |
| Holistic context models for visual recognition. | 39 | 0.83 | 2012 |
| Scene recognition on the semantic manifold | 48 | 0.99 | 2012 |
| Improving Product Classification Using Images | 4 | 0.42 | 2011 |
| Learning pit pattern concepts for gastroenterological training. | 4 | 0.48 | 2011 |
| Adapted Gaussian models for image classification | 15 | 0.67 | 2011 |
| A new approach to cross-modal multimedia retrieval | 503 | 11.41 | 2010 |
| Holistic Context Modeling Using Semantic Co-Occurrences | 27 | 0.93 | 2009 |
| Image retrieval using query by contextual example | 3 | 0.39 | 2008 |
| Scene classification with low-dimensional semantic spaces and weak supervision | 52 | 1.45 | 2008 |
| A study of query by semantic example | 8 | 0.87 | 2008 |
| A systematic study of the role of context on image classification | 0 | 0.34 | 2008 |
| Bridging the Gap: Query by Semantic Example | 150 | 5.84 | 2007 |
| Query by semantic example | 12 | 0.76 | 2006 |
