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Tiago Colliri
Tytuł
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Analyzing the bills-voting dynamics and predicting corruption-convictions among Brazilian congressmen through temporal networks
T Colliri, L Zhao
Scientific Reports 9 (1), 1-11, 2019
152019
A network-based high level data classification technique
T Colliri, D Ji, H Pan, L Zhao
2018 International Joint Conference on Neural Networks (IJCNN), 1-8, 2018
152018
Stock market trend detection and automatic decision-making through a network-based classification model
T Colliri, L Zhao
Natural computing 20 (4), 791-804, 2021
42021
A network-based model for optimizing returns in the stock market
T Colliri, L Zhao
2019 8th Brazilian conference on intelligent systems (BRACIS), 645-650, 2019
22019
Stock prices assessment: proposal of a new index based on volume weighted historical prices
T Colliri, FF Ferreira
2012 Third Brazilian Workshop on Social Simulation, 44-51, 2012
12012
Detecting Early Signs of Insufficiency in COVID-19 Patients from CBC Tests Through a Supervised Learning Approach
T Colliri, M Minakawa, L Zhao
Brazilian Conference on Intelligent Systems, 42-57, 2021
2021
Anomaly Detection in Brazilian Federal Government Purchase Cards Through Unsupervised Learning Techniques
B Nunes, T Colliri, M Lauretto, W Liu, L Zhao
Brazilian Conference on Intelligent Systems, 19-32, 2021
2021
Evaluating Presidential Support in the Brazilian House of Representatives Through a Network-Based Approach
T Colliri
arXiv preprint arXiv:2109.03638, 2021
2021
Alex Mota; Carlos Diniz; Francisco Louzada; João Leme; Krerley Oliveira; Livia Griffon; Marcelo Lauretto; Marinho Andrade; Milena Lima; Milton Miranda; Paulo Ferreira
T Rezende, T Colliri, Z Liang
2021
Predicting Corruption Convictions Among Brazilian Representatives Through a Voting-History Based Network
T Colliri, L Zhao
Corruption Networks, 51-66, 2021
2021
Predicting the Evolution of COVID-19 Cases and Deaths Through a Correlations-Based Temporal Network
T Colliri, ACB Delbem, L Zhao
Brazilian Conference on Intelligent Systems, 397-411, 2020
2020
An Optimized Modularity-Based High Level Classification Model
T Colliri, W Liu, L Zhao
2020 International Joint Conference on Neural Networks (IJCNN), 1-8, 2020
2020
A Network-Based Approach to Predict New Affected Regions and the Spread Evolution of COVID-19
T Colliri, L Zhao
Available at SSRN 3577663, 2020
2020
Avaliação de preços de ações: proposta de um índice baseado nos preços históricos ponderados pelo volume, por meio do uso de modelagem computacional
TS Colliri
Universidade de São Paulo, 2014
2014
Network-based high level classification: novel models and applications
TS Colliri
Universidade de São Paulo, 0
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