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检索条件"机构=BBVA Analyt Data & Analyt"
23 条 记 录,以下是1-10 订阅
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Building Uncertainty Models on Top of Black-Box Predictive APIs
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IEEE ACCESS 2020年 8卷 121344-121356页
作者: Brando, Axel Torres-Latorre, Clara Rodriguez-Serrano, Jose A. Vitria, Jordi Univ Barcelona UB Dept Matemat & Informat Barcelona 08007 Spain BBVA Data & Analyt Madrid 28050 Spain
With the commoditization of machine learning, more and more off-the-shelf models are available as part of code libraries or cloud services. Typically, data scientists and other users apply these models as "black ... 详细信息
来源: 评论
Uncertainty Estimation for Black-Box Classification Models: A Use Case for Sentiment Analysis  9th
Uncertainty Estimation for Black-Box Classification Models: ...
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9th Iberian Conference on Pattern Recognition and Image Analysis (IbPRIA)
作者: Mena, Jose Brando, Axel Pujol, Oriol Vitria, Jordi Eurecat Ctr Tecnol Catalunya Barcelona Spain BBVA Analyt Data & Analyt Madrid Spain Univ Barcelona Barcelona Spain
With the advent of new pre-trained word embedding models like ELMO, GPT or BERT, that leverage transfer-learning to deliver high-quality prediction systems, natural language processing (NLP) methods are reaching or ev... 详细信息
来源: 评论
Sampling Unknown Decision Functions to Build Classifier Copies  1
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17th International Conference on Modeling Decisions for Artificial Intelligence (MDAI)
作者: Unceta, Irene Palacios, Diego Nin, Jordi Pujol, Oriol BBVA Data & Analyt Barcelona Spain Univ Ramon Llull ESADE Barcelona Spain Univ Barcelona Barcelona Spain
Copies have been proposed as a viable alternative to endow machine learning models with properties and features that adapt them to changing needs. A fundamental step of the copying process is generating an unlabelled ... 详细信息
来源: 评论
Machine Learning in Finance  21
Machine Learning in Finance
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27th ACM SIGKDD International Conference on Knowledge Discovery and data Mining (KDD)
作者: Kumar, Senthil Akoglu, Leman Chawla, Nitesh Rodriguez-Serrano, Jose A. Faruquie, Tanveer Nagrecha, Saurabh Capital One Mclean VA 22102 USA Carnegie Mellon Univ Pittsburgh PA 15213 USA Univ Notre Dame Notre Dame IN 46556 USA BBVA Data & Analyt Madrid Spain eBay San Jose CA USA
The finance industry is constantly faced with an ever evolving set of challenges including credit card fraud, identity theft, network intrusion, money laundering, human trafficking, and illegal sales of firearms. Ther... 详细信息
来源: 评论
Determining the usual environment of cardholders as a key factor to measure the evolution of domestic tourism
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INFORMATION TECHNOLOGY & TOURISM 2019年 第1期21卷 23-43页
作者: Romero Palop, Juan de Dios Murillo Arias, Juan Bodas-Sagi, Diego J. Valero Lapaz, Heribert BBVA Data & Analyt Madrid Spain
Domestic tourism is harder to analyse compared to international tourism due to its smaller data footprint generation, as most times private means of transport are used, no border is crossed, and no lodging is register... 详细信息
来源: 评论
Copying Machine Learning Classifiers
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IEEE ACCESS 2020年 8卷 160268-160284页
作者: Unceta, Irene Nin, Jordi Pujol, Oriol BBVA Data & Analyt Barcelona 08018 Spain Univ Barcelona Dept Math & Comp Sci Barcelona 08007 Spain Univ Ramon Llull ESADE Dept Operat Innovat & Data Sci Sant Cugat Del Valles 08172 Spain
We study copying of machine learning classifiers, an agnostic technique to replicate the decision behavior of any classifier. We develop the theory behind the problem of copying, highlighting its properties, and propo... 详细信息
来源: 评论
Reinforcement learning for pricing strategy optimization in the insurance industry
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ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE 2019年 80卷 8-19页
作者: Krasheninnikova, Elena Garcia, Javier Maestre, Roberto Fernandez, Fernando BBVA Data & Analyt Madrid Spain Univ Carlos III Madrid Getafe Spain
Pricing is a fundamental problem in the banking sector, and is closely related to a number of financial products such as credit scoring or insurance. In the insurance industry an important question arises, namely: how... 详细信息
来源: 评论
Uncertainty Modelling in Deep Networks: Forecasting Short and Noisy Series
Uncertainty Modelling in Deep Networks: Forecasting Short an...
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European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in databases (ECML PKDD)
作者: Brando, Axel Rodriguez-Serrano, Jose A. Ciprian, Mauricio Maestre, Roberto Vitria, Jordi BBVA Data & Analyt Barcelona Spain BBVA Data & Analyt Madrid Spain Univ Barcelona Dept Matemat & Informat Barcelona Spain
Deep Learning is a consolidated, state-of-the-art Machine Learning tool to fit a function y = f(x) when provided with large data sets of examples {(x(i), y(i))}. However, in regression tasks, the straight-forward appl... 详细信息
来源: 评论
Using Copies to Remove Sensitive data: A Case Study on Fair Superhero Alignment Prediction  9th
Using Copies to Remove Sensitive Data: A Case Study on Fair ...
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9th Iberian Conference on Pattern Recognition and Image Analysis (IbPRIA)
作者: Unceta, Irene Nin, Jordi Pujol, Oriol BBVA Data & Analyt Barcelona Spain Univ Barcelona Dept Math & Comp Sci Barcelona Spain Univ Ramon Llull ESADE Barcelona Spain
Ensuring classification models are fair with respect to sensitive data attributes is a crucial task when applying machine learning models to real-world problems. Particularly in company production environments, where ... 详细信息
来源: 评论
A comparative analysis of recommender systems based on item aspect opinions extracted from user reviews
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USER MODELING AND USER-ADAPTED INTERACTION 2019年 第2期29卷 381-441页
作者: Hernandez-Rubio, Maria Cantador, Ivan Bellogin, Alejandro BBVA Data & Analyt Madrid Spain Univ Autonoma Madrid Dept Ingn Informat Madrid Spain
In popular applications such as e-commerce sites and social media, users provide online reviews giving personal opinions about a wide array of items, such as products, services and people. These reviews are usually in... 详细信息
来源: 评论