16 citations · 26 across the 8 of their papers we have counts for
9 papers
Quantum Encoding Agents: A Natural Language Interface for Data Embedding Strategy Selection in Quantum Machine Learning
Ana Paula Appel
Selecting a data encoding is a central and poorly tooled decision in quantum machine learning. The feature map fixes the geometry of the Hilbert space, the expressibility of quantu…
Fractal dimension predicts quantum kernel collapse in angle-encoded data
Ana Paula Appel
Angle-encoded quantum kernels on tabular data collapse when the feature map is wider than the intrinsic dimension of the data. We propose the correlation fractal dimension D2 as an…
Item Matching using Text Description and Similarity Search
Ana Paula Appel, Anderson Luis de Paula Silva, Adriana Reigota Silva +4
In this paper, we focus on the problem of item matching using only the description. Those specific items not only lack a unique code but also contain short text descriptions, makin…
Using Meta-Knowledge Mined from Identifiers to Improve Intent Recognition in Neuro-Symbolic Algorithms
Claudio Pinhanez, Paulo Cavalin, Victor Ribeiro +8
In this paper we explore the use of meta-knowledge embedded in intent identifiers to improve intent recognition in conversational systems. As evidenced by the analysis of thousands…
Predicting Account Receivables with Machine Learning
Ana Paula Appel, Gabriel Louzada Malfatti, Renato Luiz de Freitas Cunha +2
Being able to predict when invoices will be paid is valuable in multiple industries and supports decision-making processes in most financial workflows. However, due to the complexi…
Optimize Cash Collection: Use Machine learning to Predicting Invoice Payment
Ana Paula Appel, Victor Oliveira, Bruno Lima +3
Predicting invoice payment is valuable in multiple industries and supports decision-making processes in most financial workflows. However, the challenge in this realm involves deal…
Using link and content over time for embedding generation in Dynamic Attributed Networks
Ana Paula Appel, Renato L. F. Cunha, Charu C. Aggarwal +1
In this work, we consider the problem of combining link, content and temporal analysis for community detection and prediction in evolving networks. Such temporal and content-rich n…
Combining Textual Content and Structure to Improve Dialog Similarity
Ana Paula Appel, Paulo Rodrigo Cavalin, Marisa Affonso Vasconcelos +1
Chatbots, taking advantage of the success of the messaging apps and recent advances in Artificial Intelligence, have become very popular, from helping business to improve customer…
A Social Network Analysis Framework for Modeling Health Insurance Claims Data
Ana Paula Appel, Vagner F. de Santana, Luis G. Moyano +2
Health insurance companies in Brazil have their data about claims organized having the view only for providers. In this way, they loose the physician view and how they share patien…