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Found 7 papers, 1 papers with code
Social Dynamics of Consumer Response: A Unified Framework Integrating Statistical Physics and Marketing Dynamics
Comprehending how consumers react to advertising inputs is essential for marketers aiming to optimize advertising strategies and improve campaign effectiveness.
Bayesian Methods for Media Mix Modelling with shape and funnel effects
In recent years, significant progress in generative AI has highlighted the important role of physics-inspired models that utilize advanced mathematical concepts based on fundamental physics principles to enhance artificial intelligence capabilities.
Object Detection performance variation on compressed satellite image datasets with iquaflow
A lot of work has been done to reach the best possible performance of predictive models on images.
Evaluating Synthetically Generated Data from Small Sample Sizes: An Experimental Study
In this paper, we propose a method for measuring the similarity low sample tabular data with synthetically generated data with a larger number of samples than original.
Recipe1M+: A Dataset for Learning Cross-Modal Embeddings for Cooking Recipes and Food Images
In this paper, we introduce Recipe1M+, a new large-scale, structured corpus of over one million cooking recipes and 13 million food images.
Ranked #2 on
Cross-Modal Retrieval
on Recipe1M+
Learning Cross-Modal Embeddings for Cooking Recipes and Food Images
In this paper, we introduce Recipe1M, a new large-scale, structured corpus of over 1m cooking recipes and 800k food images.
Face-to-BMI: Using Computer Vision to Infer Body Mass Index on Social Media
A person's weight status can have profound implications on their life, ranging from mental health, to longevity, to financial income.
