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deep convolutional neural networks
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Mgr. Ladislav Peška Ph.D.
Academic staff at Faculty of Mathematics and Physics
3 classes
103 publications
Classes
class
User preferences and advanced recommending methods
NDBI021 |
Faculty of Mathematics and Physics
class
Introduction to recommender systems and user preferences
NSWI166 |
Faculty of Mathematics and Physics
class
Principles of Computers for Bioinformatics
NSWI178 |
Faculty of Mathematics and Physics
Publications
publication
A comparison of lineup fairness in human and computer-made photo arrays of different ethnicities
2019 |
Faculty of Mathematics and Physics, Faculty of Arts
publication
Towards augmented database schemes by discovery of latent visual attributes
2019 |
Faculty of Mathematics and Physics
publication
Product exploration based on latent visual attributes
2017 |
Faculty of Mathematics and Physics
publication
A comparison of lineup fairness in human and computer-made photo arrays of different ethnicities
Publication without faculty affiliation
publication
Visualizations for universal deep-feature representations: survey and taxonomy
2024 |
Faculty of Mathematics and Physics
publication
Less Is More: Similarity Models for Content-Based Video Retrieval
2023 |
Faculty of Mathematics and Physics
publication
SpotifyExplained: User-centric Mobile Application for Music Exploration
2023 |
Faculty of Mathematics and Physics
publication
The Effect of Similarity Metric and Group Size on Outlier Selection & Satisfaction in Group Recommender Systems
2023 |
Faculty of Mathematics and Physics
publication
Rows or Columns? Minimizing Presentation Bias When Comparing Multiple Recommender Systems
2023 |
Faculty of Mathematics and Physics
publication
Looks Can Be Deceiving: Linking User-Item Interactions and User's Propensity Towards Multi-Objective Recommendations
2023 |
Faculty of Mathematics and Physics
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