141 citations · 380 across the 16 of their papers we have counts for
5 papers · 1 filter
Uplift Modeling: from Causal Inference to Personalization
Felipe Moraes, Hugo Manuel Proença, Anastasiia Kornilova +2
Uplift modeling is a collection of machine learning techniques for estimating causal effects of a treatment at the individual or subgroup levels. Over the last years, causality and…
Incremental Profit per Conversion: a Response Transformation for Uplift Modeling in E-Commerce Promotions
Hugo Manuel Proença, Felipe Moraes
Promotions play a crucial role in e-commerce platforms, and various cost structures are employed to drive user engagement. This paper focuses on promotions with response-dependent…
How Deep Learning Sees the World: A Survey on Adversarial Attacks & Defenses
Joana C. Costa, Tiago Roxo, Hugo Proença +1
Deep Learning is currently used to perform multiple tasks, such as object recognition, face recognition, and natural language processing. However, Deep Neural Networks (DNNs) are v…
WASD: A Wilder Active Speaker Detection Dataset
Tiago Roxo, Joana C. Costa, Pedro R. M. Inácio +1
Current Active Speaker Detection (ASD) models achieve great results on AVA-ActiveSpeaker (AVA), using only sound and facial features. Although this approach is applicable in movie…
Information Retrieval: Recent Advances and Beyond
Kailash A. Hambarde, Hugo Proenca
In this paper, we provide a detailed overview of the models used for information retrieval in the first and second stages of the typical processing chain. We discuss the current st…