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2020 – today
- 2021
[j1]Tiago Colliri
, Liang Zhao:
Stock market trend detection and automatic decision-making through a network-based classification model. Nat. Comput. 20(4): 791-804 (2021)- [c6]Breno Nunes, Tiago Colliri, Marcelo de S. Lauretto, Weiguang Liu, Liang Zhao:
Anomaly Detection in Brazilian Federal Government Purchase Cards Through Unsupervised Learning Techniques. BRACIS (2) 2021: 19-32 - [c5]Tiago Colliri, Marcia Minakawa, Liang Zhao:
Detecting Early Signs of Insufficiency in COVID-19 Patients from CBC Tests Through a Supervised Learning Approach. BRACIS (2) 2021: 42-57 - [i2]Tiago Colliri:
Evaluating Presidential Support in the Brazilian House of Representatives Through a Network-Based Approach. CoRR abs/2109.03638 (2021) - 2020
- [c4]Tiago Colliri, Alexandre C. B. Delbem, Liang Zhao:
Predicting the Evolution of COVID-19 Cases and Deaths Through a Correlations-Based Temporal Network. BRACIS (2) 2020: 397-411 - [c3]Tiago Colliri, Weiguang Liu, Liang Zhao:
An Optimized Modularity-Based High Level Classification Model. IJCNN 2020: 1-8
2010 – 2019
- 2019
- [c2]Tiago Colliri, Liang Zhao:
A Network-Based Model for Optimizing Returns in the Stock Market. BRACIS 2019: 645-650 - 2018
- [c1]Tiago Colliri, Donghong Ji, Heng Pan, Liang Zhao:
A Network-Based High Level Data Classification Technique. IJCNN 2018: 1-8 - 2012
- [i1]Tiago Colliri, Fernando F. Ferreira:
Stock prices assessment: proposal of a new index based on volume weighted historical prices through the use of computer modeling. CoRR abs/1206.5224 (2012)
Coauthor Index
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