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Found 7 papers, 2 papers with code
Universal representations for financial transactional data: embracing local, global, and external contexts
Effective processing of financial transactions is essential for banking data analysis.
GigaPevt: Multimodal Medical Assistant
Building an intelligent and efficient medical assistant is still a challenging AI problem.
From Variability to Stability: Advancing RecSys Benchmarking Practices
In the rapidly evolving domain of Recommender Systems (RecSys), new algorithms frequently claim state-of-the-art performance based on evaluations over a limited set of arbitrarily selected datasets.
Temporal Graph Network Embedding with Causal Anonymous Walks Representations
For evaluation, we provide a benchmark pipeline for the evaluation of temporal network embeddings.
Ad Lingua: Text Classification Improves Symbolism Prediction in Image Advertisements
Understanding image advertisements is a challenging task, often requiring non-literal interpretation.
Probabilistic Neural Network with Complex Exponential Activation Functions in Image Recognition using Deep Learning Framework
We demonstrate that in this case it is possible to implement the network with the number of neurons in the pattern layer proportional to the cubic root of the database size.
Maximum Likelihood Directed Enumeration Method in Piecewise-Regular Object Recognition
At each step of this algorithm joint density (likelihood) of distances to previously checked models is estimated for each class.
