Virtual Presentations (ITISE-2021)
Hamza Couscous, Abderrahman Benchekroun, Khaled Almaksour, Arnaud Davigny and Dhaker Abbe:
Photovoltaic Power Forecasting Using Back-Propagation Artificial Neural Network
Virtual Presentations (ITISE-2019)
Hamza Couscous, Abderrahman Benchekroun, Khaled Almaksour, Arnaud Davigny and Dhaker Abbe:
Photovoltaic Power Forecasting Using Back-Propagation Artificial Neural Network
Behrouz Ehsani-Moghaddam:
Likelihood Estimation for Hunter Syndrome using ZIP Model and Simulated Data
J. Carlos García-Díaz and Oscar Trull:
Double Seasonal Holt-Winters to forecast electricity consumption in a hot-dip galvanizing process
Javier Estévez, Xiaodong Liu, Juan A. Bellido-Jiménez and Amanda P. García-Marín:
Assessing Wavelet Analysis for Precipitation Forecasts Using Artificial Neural Networks in Mediterranean Coast
Silvia María Ojeda, Juan Carlos Bellassai Gauto and Marcos A. Landi: On the Evaluation of Similarity for Time Series
Shruti Kaushik, Abhinav Choudhury, Nataraj Dasgupta, Sayee Natarajan, Larry Pickett and Varun Dutt Evaluating Auto-encoder and Principal Component Analysis for Feature Engineering in Electronic Health Records
Ahmed Elshami, Aliaa Youssef and Mohamed Fakhr: On-The-Fly Dynamic Ensembles for Time Series Forecasting
Abdeljalil Settar, Nadia Idrissi and Mohammed Badaoui: Numerical estimation of GARCH models through a constrained Kalman filter
Jeronymo Marcondes Pinto and Emerson Fernandes Marçal : Extreme Learning Machine as a Forecast Combination Method
Claudio Inacio and Sergio A. David : Dynamic behavior in the fractional scope of agricultural commodities price series vis-a-vis ethanol prices
Tulio Vieira, Paulo Almeida, Magali Meireles and Renato Ribeiro : Improving the management of public transport through modeling and forecasting passenger occupancy rate
Raul Carrasco : Copper price variation forecasts using genetic algorithms
Karim Aoulad Abdelouarit, Boubker Sbihi and Noura Aknin: Big-Learn 2.5: Using Lucidworks and SolrJ to Improve Online Search in Big Data Environment
Naveksha Sood, Usha Rani, Srikanth Swaminathan, George Abraham, Dileep A. D. and Varun Dutt: Applications of Statistical and Machine Learning Methods for Predicting Time-Series Performance of Network Devices
Gerald Hsu : Using Time-Series and Forecasting to Manage Type 2 Diabetes Conditions (GH-Method: Math-Physical Medicine)
Alexandros Sopasakis : Traffic demand and longer term forecasting from real-time observations
Moamen Abbas Mousa Al-Sharifi and Firas Ahmmed Mohammed Al-Mohana : Applying Diebold-Mariano test for performance evaluation between individual and hybrid time series models for modeling bivariate time series data and forecasting the unemployment rate in the USA
(c) 2019 University of Granada