Browsing by Author "Parra Santander, Denis Alejandro"
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- ItemA field study of a visual controllable talk recommender(2013) Parra Santander, Denis Alejandro; Brusilovsky, P.
- ItemA framework of hybrid MOOC-based pedagogies(2015) Pérez-Sanagustín, M.; Hilliger, I.; Schwarzenberg, P.; Parra Santander, Denis Alejandro
- ItemA Study of Mobile Information Exploration with Multi-Touch Interactions(2014) Han, Shuguang; Hsiao, I. Han; Parra Santander, Denis Alejandro
- ItemA visual aide for understanding endpoint data(2016) Florenzano, F.; Parra Santander, Denis Alejandro; Reutter, J.L.; Venegas, F.
- ItemAHMoSe: A knowledge-based visual support system for selecting regression machine learning models(2021) Rojo, D.; Htun, N.N.; Parra Santander, Denis Alejandro; De Croon, R.; Verbert, K.
- ItemAn Interactive Relevance Feedback Interface for Evidence-Based Health Care(2018) Donoso-Guzman, Ivania; Parra Santander, Denis Alejandro; Assoc Comp Machinery
- ItemAn interactive visualisation for RDF data(2016) Florenzano, F.; Parra Santander, Denis Alejandro; Reutter, J.; Venegas, F.
- ItemAnalyzing network effects on a fanfiction community(2019) Carvallo, A.; Parra Santander, Denis Alejandro; Graells-Garrido, E.
- ItemAre real-world place recommender algorithms useful in virtual world environments?(2015) Marinho, L.B.; Trattner, C.; Parra Santander, Denis Alejandro
- ItemClinically Correct Report Generation from Chest X-Rays Using Templates(2021) Pablo Pino; Parra Santander, Denis Alejandro; Cecilia Besa; Claudio Lagos
- ItemCNVis: A web-based visual analytics tool for exploring conference navigator data(2018) Bailey, S.M.; Wei, J.A.; Wang, C.; Parra Santander, Denis Alejandro; Brusilovsky, P.
- ItemComparing word embeddings for document screening based on active learning(2019) Carvallo, A.; Parra Santander, Denis Alejandro
- ItemContent-based artwork recommendation: integrating painting metadata with neural and manually-engineered visual features(2019) Pablo Messina; Vicente Dominguez; Parra Santander, Denis Alejandro; Christoph Trattner; Alvaro Soto
- ItemCreativity in Generative Musical Networks: Evidence From Two Case Studies(2021) Cádiz, R.F.; Macaya, A.; Cartagena, M.; Parra Santander, Denis Alejandro
- ItemCuratorNet: Visually-aware recommendation of art images(2020) Messina, P.; Cartagena, M.; Cerda, P.; del Rio, F.; Parra Santander, Denis Alejandro
- ItemData mining for item recommendation in MOBA games(2019) Araujo, V.; Rios, F.; Parra Santander, Denis Alejandro
- ItemDo Better ImageNet Models Transfer Better... for Image Recommendation?(2018) Parra Santander, Denis AlejandroVisual embeddings from Convolutional Neural Networks (CNN) trained on the ImageNet dataset for the ILSVRC challenge have shown consistently good performance for transfer learning and are widely used in several tasks, including image recommendation. However, some important questions have not yet been answered in order to use these embeddings for a larger scope of recommendation domains: a) Do CNNs that perform better in ImageNet are also better for transfer learning in content-based image recommendation?, b) Does fine-tuning help to improve performance? and c) Which is the best way to perform the fine-tuning? In this paper we compare several CNN models pre-trained with ImageNet to evaluate their transfer learning performance to an artwork image recommendation task. Our results indicate that models with better performance in the ImageNet challenge do not always imply better transfer learning for recommendation tasks (e.g. NASNet vs. ResNet). Our results also show that fine-tuning can be helpful even with a small dataset, but not every fine-tuning works. Our re sults can inform other researchers and practitioners on how to train their CNNs for better transfer learning towards image recommendation systems.
- ItemEvaluating a learning analytics dashboard to visualize student self-reports of time-on-task: A Case Study in a Latin American University(2021) Hilliger, I.; Miranda, C.; Schuit, G.; Duarte, F.; Anselmo, M.; Parra Santander, Denis Alejandro
- ItemEvaluating Pre-training Strategies for Collaborative Filtering(2023) Júlio B. G. Costa; Leandro B. Marinho; Rodrygo L. T. Santos; Parra Santander, Denis Alejandro
- ItemExploring content-based artwork recommendation with metadata and visual features(2017) Messina, P.; Dominguez, V.; Parra Santander, Denis Alejandro; Trattner, C.; Soto, A.