EN PROGRESO
Smail TIGANI, “Deep Learning based Bitcoin Volatility Classifier for Trading Time Recommendation, Toward Artificial Intelligence Driven Trading Robots” (~80%).

PUBLICADAS
Smail TIGANI and al, “Gaussian Mixture and Kernel Density-Based Hybrid Model for Volatility Behavior Extraction From Public Financial Data”. Data, Vol. 4, No. 19, 2019.

Smail TIGANI and al, "Markov chains and linear model-based hybrid prediction algorithm for cognitive agents”, International Journal of Intelligent Systems Design and Computing Vol. 1, No. 2, pp. 28-42, 2017.

Smail TIGANI and al, "Statistical Learning Theoretical Foundations Overview for Big Data Predictive Analytic", International Journal of Computer Science:  Theory and Application, Vol. 4, No. 3, pp. 54-62, 2015.

Smail TIGANI and al, "Low Complexity Auto-adaptive Algorithm for Finite State Prediction Given Historical Observations", Communications on Applied Electronics, Vol. 1, No. 5, pp. 1-5, 2015.

Smail TIGANI and al, "Low Complexity Algorithm for Probability Density Estimation Applied in Big Data Analysis", International Journal of Computer Applications, Vol. 107, No. 7, pp. 1-5, 2014.

Smail TIGANI and al, "Intelligent Linear Data Structure with Self Performance Optimization Capacity: Application on Big Data", International Journal of Computer Applications, Vol. 101, No. 6, pp. 1-6, 2014.

Smail TIGANI and al, “Multi-agent system design for synchronizing software components communication: application on orchestration in complex SOA architecture”, International Journal of Computer Applications, Vol. 78, No. 4, 2013.
 

Meryem AKOULIH, Smail TIGANI and al. 2019. “Principal Component Analysis based Approach for Understanding Electrocoagulation Setting Impact on Chromium Elimination: A Step Toward Smart Eco-Friendly City”. In The Fourth International Conference on Smart City Applications (SCA2019), October 2–4, 2019, CASABLANCA, Morocco. DOI: https://doi.org/10.1145/3368756.3369010

Soumaya LAMRHARI, Smail TIGANI and al (2018). Enhancing Social Network Communication through Dynamic Clustering Balance”. In Mediterranean Conference on Pattern Recognition and Artificial Intelligence, March 27–28, 2018, Rabat, Morocco. ACM Publisher, New York, NY, USA.

Smail TIGANI and al. “Multivariate Statistical Model based Currency Market Profitability Binary Classifier”. In Mediterranean Conference on Pattern Recognition and Artificial Intelligence, March 27–28, 2018, Rabat, Morocco. ACM Publisher, New York, NY, USA, 5 pages. DOI: https://doi.org/10.1145/3177148.3180093

Smail TIGANI and al, "Statistical Learning Based Framework for Random Networks Knowledge Extraction Applied in Smart Cities", 1st International Symposium on Ubiquitous Networking, Casablanca, Morocco, 2016. Book Chapter, Springer Publisher.

Smail TIGANI and al, "Monte Carlo simulation based algorithm design for automatic learning machine performance analysis", 5th International Conference on Next Generation Networks and Services, Casablanca, Morocco, 2014. IEEE Publisher.