Name
Papers
Collaborators
ANÍSIO LACERDA
29
60
Citations 
PageRank 
Referers 
172
16.18
500
Referees 
References 
913
407
Search Limit
100913
Title
Citations
PageRank
Year
Deep Thompson Sampling for Length of Stay Prediction00.342021
Explaining Symbolic Regression Predictions.00.342020
Detecting Collaboration Profiles in Success-based Music Genre Networks.00.342020
Is Rank Aggregation Effective in Recommender Systems? An Experimental Analysis00.342020
Multimodal approach for tension levels estimation in news videos10.372019
Multimodal data fusion framework based on autoencoders for top-N recommender systems20.402019
Exploiting Multiple Recommenders to Improve Group Recommendation00.342018
User-Oriented Objective Prioritization for Meta-Featured Multi-Objective Recommender Systems.00.342018
A computational approach to support the creation of terminological neologisms in sign languages.00.342018
A Robust Indoor Scene Recognition Method based on Sparse Representation.10.352017
A Majority Voting Approach for Sentiment Analysis in Short Texts using Topic Models.00.342017
A video summarization approach based on the emulation of bottom-up mechanisms of visual attention.30.362017
A general framework to expand short text for topic modeling.140.602017
Multi-Objective Ranked Bandits for Recommender Systems70.432017
Automatic and online setting of similarity thresholds in content-based visual information retrieval problems.00.342016
Topic Modeling for Short Texts with Co-occurrence Frequency-Based Expansion20.442016
MeGASS: Multi-Objective Genetic Active Site Search00.342015
Adding Value to Daily-Deals Recommendation: Multi-armed Bandits to Match Customers and Deals.00.342015
Context-Aware Deal Size Prediction00.342014
Information-Theoretic Term Selection for New Item Recommendation00.342014
Multiobjective Pareto-Efficient Approaches for Recommender Systems.210.992014
Where Should I Go? City Recommendation Based on User Communities10.362014
GUARD: A Genetic Unified Approach for Recommendation.30.382013
Building user profiles to improve user experience in recommender systems40.402013
Exploratory and interactive daily deals recommendation50.432013
Using Taxonomies for Product Recommendation.30.422012
Minimal perfect hashing: A competitive method for indexing internal memory90.562011
Demand-driven tag recommendation160.702010
Learning to advertise804.582006