Virtual and On-line Video Presentations (ITISE-2022)
Tariq Alshammari, Mohd Tahir Ismail, Sadam Alwadi, Mohammad H. Saleh and Jamil Jaber:
Improve the forecasting accuracy using GJR-GARCH and MODWT (C6):
REF: 8:
Improve the forecasting accuracy using GJR-GARCH and MODWT (C6):
REF: 8:
Ángel López-Oriona and José A. Vilar:
The bootstrap for testing the equality of two multivariate stochastic processes with an application to financial markets:
REF: 12:
The bootstrap for testing the equality of two multivariate stochastic processes with an application to financial markets:
REF: 12:
Juan Antonio Bellido-Jiménez, Javier Estévez Gualda and Amanda Penélope García-Marín:
Automatization of the features selection process to improve temperature-based solar radiation models in Southern Spain:
REF: 30:
Automatization of the features selection process to improve temperature-based solar radiation models in Southern Spain:
REF: 30:
Andrea Savio and Mariangela Guidolin:
Renewable energy transition in Europe: a multi-national analysis.:
REF: 36:
Renewable energy transition in Europe: a multi-national analysis.:
REF: 36:
Mohammed Al Saleh, Béatrice Finance, Yehia Taher, Ali Jaber and Roger Luff:
Online Classification of High Gamma Dose Rate Incidents:
REF: 45:
Online Classification of High Gamma Dose Rate Incidents:
REF: 45:
Alif Aditya Wicaksono, Wiwik Anggraeni and Mauridhi Hery Purnomo:
Deep Learning Approaches for Daily Climate Forecasting, Case Study: Malang Indonesia:
REF: 46:
Deep Learning Approaches for Daily Climate Forecasting, Case Study: Malang Indonesia:
REF: 46:
Jing Zhang and Daniel Nikovski:
APUMPEDI: Approximating Pan Matrix Profiles of Time Series Under Unnormalized Euclidean Distances by Interpolation:
REF: 51:
APUMPEDI: Approximating Pan Matrix Profiles of Time Series Under Unnormalized Euclidean Distances by Interpolation:
REF: 51:
Diego J. Pedregal, Juan R. Trapero and Enrique Holgado:
Demand forecasting under lost-sales stock policies with Tobit Exponential Smoothing:
REF: 55:
Demand forecasting under lost-sales stock policies with Tobit Exponential Smoothing:
REF: 55:
Guglielmo D'Amico and Filippo Petroni:
A joint probability density function of wind speed and direction for wind power plant analysis:
REF: 59:
A joint probability density function of wind speed and direction for wind power plant analysis:
REF: 59:
Filippo Petroni, Guglielmo D'Amico and Flavio Prattico:
Indexed Semi-Markov Model to forecast volatility in cryptocurrency market:
REF: 60:
Indexed Semi-Markov Model to forecast volatility in cryptocurrency market:
REF: 60:
Filippo Petroni and Flavio Prattico:
Cryptocurrency hourly volatility and information measurement of predictability:
REF: 64:
Cryptocurrency hourly volatility and information measurement of predictability:
REF: 64:
Miguel Ángel Ruiz Reina:
An approximation to relative automatic time series forecasting measures:
REF: 68:
An approximation to relative automatic time series forecasting measures:
REF: 68:
Eduardo Caro Huertas and Jesús Juan Ruiz:
Short-Term Electricity Load Forecasting: Modelling the COVID-19 Lockdown in Spain:
REF: 70:
Short-Term Electricity Load Forecasting: Modelling the COVID-19 Lockdown in Spain:
REF: 70:
Asher Siebert, Bohar Singh, M. Azhar Ehsan, Souha Ouni, Yohana Tekeste, Remi Cousin, Igor Khomyakov, Aaron Kaplan and Daniel Osgood:
Forecast-based Financing for Food Security Interventions in Africa: Case Studies in Djibouti, Ethiopia, Lesotho, Madagascar and Niger:
REF: 73:
Forecast-based Financing for Food Security Interventions in Africa: Case Studies in Djibouti, Ethiopia, Lesotho, Madagascar and Niger:
REF: 73:
F. Catarina Pereira, A. Manuela Gonçalves and Marco Costa:
Outliers impact on parameter estimation of Gaussian and non-Gaussian state space models: a simulation study:
REF: 89:
Outliers impact on parameter estimation of Gaussian and non-Gaussian state space models: a simulation study:
REF: 89:
Enrique Fernández, José Ramón Villar, Alberto Navarro and Javier Sedano:
Early detection of flash-floods using Case-Based Reasoning:
REF: 103:
Early detection of flash-floods using Case-Based Reasoning:
REF: 103:
Miguel Ángel Ruiz Reina:
Multichoice Entropy Clustering for Time Series and Seasonality:
REF: 111:
Multichoice Entropy Clustering for Time Series and Seasonality:
REF: 111:
Dinh Thuan Nguyen and Tung Hoang:
Combining ARIMA-SVR and Fuzzy Time Series Model based on Hedge Algebra to Forecast Bitcoin:
REF: 114:
Combining ARIMA-SVR and Fuzzy Time Series Model based on Hedge Algebra to Forecast Bitcoin:
REF: 114:
Hadeel Afifi, Mohamed Elmahdy, Motaz El Saban and Mervat Abu-Elkheir:
Probabilistic Forecasting for Oil Producing Wells using Seq2seq Augmented Model:
REF: 115:
Probabilistic Forecasting for Oil Producing Wells using Seq2seq Augmented Model:
REF: 115:
Yuzhi Cai, Fangzhou Huang and Jiao Song:
Modelling and predicting the dynamics of confirmed Covid-19 cases based on climate data:
REF: 119:
Modelling and predicting the dynamics of confirmed Covid-19 cases based on climate data:
REF: 119:
Fatemeh Jafari, Kumaraswamy Ponnambalam and Fakhri Karray:
A decoder-based transformer model for multi-step fresh produce price forecasts:
REF: 123:
A decoder-based transformer model for multi-step fresh produce price forecasts:
REF: 123:
Rockefeller Rockefeller, Bubacarr Bah, Vukosi Marivate and Hans-Georg Zimmermann:
Improving the Predictive Power of Historical Consistent Neural Network:
REF: 127:
Improving the Predictive Power of Historical Consistent Neural Network:
REF: 127:
Amel Salem Omer, Tesfaye Addisie Yimer and Dereje Hailemariam Woldegebreal:
Hybrid K-Mean Clustering and Markov Chain for Network Accessibility and Retainability Prediction:
REF: 129:
Hybrid K-Mean Clustering and Markov Chain for Network Accessibility and Retainability Prediction:
REF: 129:
Georgios Evangelidis, Konstantinos Konstantakis and Panayotis G. Michaelides:
Renewable Energy Installations and Policy Assessment: Evidence from cointegration and non-causality in Greece (1987-2020):
REF: 134:
Renewable Energy Installations and Policy Assessment: Evidence from cointegration and non-causality in Greece (1987-2020):
REF: 134:
Claudio M. C. Inacio Jr and Sergio A. David:
Measuring the dynamic cross-correlation and contagion effect between Brent crude and heating oil (US-Diesel) prices pre and during the Covid-19 outbreak:
REF: 136:
Measuring the dynamic cross-correlation and contagion effect between Brent crude and heating oil (US-Diesel) prices pre and during the Covid-19 outbreak:
REF: 136:
Juan Laborda, Sonia Ruano and Ignacio Zamanillo:
MULTI-COUNTRY AND MULTI-HORIZON GDP FORECASTING USING TEMPORAL FUSION TRANSFORMERS:
REF: 141:
MULTI-COUNTRY AND MULTI-HORIZON GDP FORECASTING USING TEMPORAL FUSION TRANSFORMERS:
REF: 141:
Yuvraj Sunecher:
Modelling the Number of Intra-day Stock Transactions using a Novel Time Series Model:
REF: 143:
Modelling the Number of Intra-day Stock Transactions using a Novel Time Series Model:
REF: 143:
Tsegamlak Terefe Debella, Bethelhem Seifu Shawel, Maxime Devanne, Jonathan Weber, Dereje Hailemariam Woldegebriel, Sofie Pollin and Germain Forestier:
Deep Representation Learning for Cluster Level Time Series Forecasting:
REF: 144:
Deep Representation Learning for Cluster Level Time Series Forecasting:
REF: 144:
Aleksandra Wójcicka-Wójtowicz and Anna Łyczkowska-Hanćkowiak:
Recommendations of stockbrokers vs. fuzzy portfolio approach in construction sector:
REF: 146:
Recommendations of stockbrokers vs. fuzzy portfolio approach in construction sector:
REF: 146:
Tina Andriantsalama, Chao Tang, Remy Ineza Mugenga, Thierry Portafaix, Mathieu Delsaut, Patrick Jeanty, Alexandre Graillet, Girish Kumar Beeharry, Roddy Lollchund, Tyagaraja S. Modelly Cunden and Béatrice Morel:
Estimation of cloud fraction by longwave radiation using machine learning:
REF: 149:
Estimation of cloud fraction by longwave radiation using machine learning:
REF: 149:
Bethelhem S. Shawel, Frehiwot Bantigegn, Tsegamlak Terefe Debella, Sofie Pollin and Dereje H. Woldegebreal:
K-means Clustering Assisted Spectrum Utilization Prediction with Deep Learning Models:
REF: 150:
K-means Clustering Assisted Spectrum Utilization Prediction with Deep Learning Models:
REF: 150:
Bethelhem S. Shawel, Endale Mare, Tsegamlak Terefe Debella, Sofie Pollin and Dereje Hailemariam Woldegebreal:
A Multivariate Approach for Spatiotemporal Mobile Data Traffic Prediction:
REF: 151:
A Multivariate Approach for Spatiotemporal Mobile Data Traffic Prediction:
REF: 151:
Rafael Alvarenga, Hubert Herbaux and Laurent Linguet:
Combination of post-processing methods to improve high resolution solar irradiance forecasts in French Guiana:
REF: 152:
Combination of post-processing methods to improve high resolution solar irradiance forecasts in French Guiana:
REF: 152:
Sebastià Barceló Forteza, Javier Pascual-Granado, Juan Carlos Suárez, Antonio García Hernández and Mariel Lares Martiz:
Coarse Grain Spectral Analysis for the low-amplitude signature of multiperiodic stellar pulsators:
REF: 154:
Coarse Grain Spectral Analysis for the low-amplitude signature of multiperiodic stellar pulsators:
REF: 154:
Belen Rosado, Luis Miguel Peci, Amós De Gil, Paola Barba and Manel Berrocoso:
Geothermal time series analysis of the Deception volcano 2011-2022 (Antarctica):
REF: 155:
Geothermal time series analysis of the Deception volcano 2011-2022 (Antarctica):
REF: 155:
Ana Apolo Penaloza, Roberto Leborgne and Alexandre Balbinot:
Comparative analysis of residential load forecasting with different levels of aggregationComparative analysis of residential load forecasting with different levels of aggregation:
REF: 157:
Comparative analysis of residential load forecasting with different levels of aggregationComparative analysis of residential load forecasting with different levels of aggregation:
REF: 157:
Sergio Bianchi, Augusto Pianese and Massimiliano Frezza:
An analysis of liquidity through the self-similarity surfaces:
REF: 160:
An analysis of liquidity through the self-similarity surfaces:
REF: 160:
Olga Luengo, Belén Rosado, Amós De Gil, Paola Barba and Manuel Berrocoso:
Analysis of underwater temperature series of Deception and Livingston Islands 2012-2022 (Antarctica):
REF: 166:
Analysis of underwater temperature series of Deception and Livingston Islands 2012-2022 (Antarctica):
REF: 166:
Alessandro Cardinali:
Costationary Whitenoise Processes and Local Stationarity Testing:
REF: 168:
Costationary Whitenoise Processes and Local Stationarity Testing:
REF: 168:
Olga Luengo, Belén Rosado, Amós De Gil, Paola Barba and Manuel Berrocoso:
Analysis of tidal series of Deception and Livingston Islands (Antarctica):
REF: 172:
Analysis of tidal series of Deception and Livingston Islands (Antarctica):
REF: 172:
Paola Barba, Belén Rosado, Javier Ramírez-Zelaya, Adrián Villanueva and Manuel Berrocoso:
INFLUENCE OF THE ERUPTION OF LA PALMA ON THE EVOLUTION OF TROPOSPHERIC ACTIVITY IN THE CANARY ARCHIPELAGO:
REF: 176:
INFLUENCE OF THE ERUPTION OF LA PALMA ON THE EVOLUTION OF TROPOSPHERIC ACTIVITY IN THE CANARY ARCHIPELAGO:
REF: 176:
Mohammed Al Saleh, Béatrice Finance, Yehia Taher, Ali Jaber and Roger Luff:
Time Series Clustering of High Gamma Dose Rate Incidents:
REF: 179:
Time Series Clustering of High Gamma Dose Rate Incidents:
REF: 179:
Antonio Bertini, Immacolata Caruso and Tiziana Vitolo:
INLAND AREAS, PROTECTED NATURAL AREAS AND SUSTAINABLE DEVELOPMENT:
REF: 180:
INLAND AREAS, PROTECTED NATURAL AREAS AND SUSTAINABLE DEVELOPMENT:
REF: 180:
Bruno Mendes, Ana Maria Tomé and José Moreira:
Feature Importance Study on Forecasting Hourly Retail Time Series:
REF: 182:
Feature Importance Study on Forecasting Hourly Retail Time Series:
REF: 182:
Antonio Mihi-Ramírez, Elías Melchor-Ferrer and Ammar Ziad-Alwrekiat:
Impact of capitalization on labor productivity in European countries:
REF: 183:
Impact of capitalization on labor productivity in European countries:
REF: 183:
Harald Bergsteiner:
The WEF’s Global Competitiveness Reports: A case of reliable nonsense?:
REF: 186:
The WEF’s Global Competitiveness Reports: A case of reliable nonsense?:
REF: 186:
Sobhan Moazemi, Sebastian Kalkhoff, Steven Kessler, Zeynep Boztoprak, Vincent Hettlich, Artur Liebrecht, Roman Bibo, Bastian Dewitz, Artur Lichtenberg, Hug Aubin and Falko Schmid:
Evaluating a Recurrent Neural Networks Model For Predicting Readmission to Cardiovascular ICUs Based on Clinical Time Series Data:
REF: 190:
Evaluating a Recurrent Neural Networks Model For Predicting Readmission to Cardiovascular ICUs Based on Clinical Time Series Data:
REF: 190:
Florian Combes, Ricardo Fraiman and Badih Ghattas:
Time Series sampling:
REF: 196:
Time Series sampling:
REF: 196:
PDF Presentations (ITISE-2022)
Tariq Alshammari, Mohd Tahir Ismail, Sadam Alwadi, Mohammad H. Saleh and Jamil Jaber:
Improve the forecasting accuracy using GJR-GARCH and MODWT (C6):
REF: 8:
Improve the forecasting accuracy using GJR-GARCH and MODWT (C6):
REF: 8:
Abdullah Alenezy, Mohd Tahir Ismail, Sadam Alwadi, Jamil Jaber and Nawaf Hamadneh:
Forecasting Stock Market Volatility using Hybrid of Fuzzy Inference Rules with Descent Method with Haar Wavelet Function: Saudi Arabia:
REF: 10:
Forecasting Stock Market Volatility using Hybrid of Fuzzy Inference Rules with Descent Method with Haar Wavelet Function: Saudi Arabia:
REF: 10:
Ángel López-Oriona and José A. Vilar:
The bootstrap for testing the equality of two multivariate stochastic processes with an application to financial markets:
REF: 12:
The bootstrap for testing the equality of two multivariate stochastic processes with an application to financial markets:
REF: 12:
Tassew Tolcha:
The state of Africa’s air transport market amid COVID-19, and forecasts for recovery:
REF: 29:
The state of Africa’s air transport market amid COVID-19, and forecasts for recovery:
REF: 29:
Juan Antonio Bellido-Jiménez, Javier Estévez Gualda and Amanda Penélope García-Marín:
Automatization of the features selection process to improve temperature-based solar radiation models in Southern Spain:
REF: 30:
Automatization of the features selection process to improve temperature-based solar radiation models in Southern Spain:
REF: 30:
Nicola Rubino, Emilio Congregado and David Troncoso:
Evaluating the long-term impacts of economic or policy shocks among necessity and opportunity entrepreneurs:
REF: 35:
Evaluating the long-term impacts of economic or policy shocks among necessity and opportunity entrepreneurs:
REF: 35:
Andrea Savio and Mariangela Guidolin:
Renewable energy transition in Europe: a multi-national analysis.:
REF: 36:
Renewable energy transition in Europe: a multi-national analysis.:
REF: 36:
Bibiana Lanzilotta, Gabriela Mordecki and Viviana Umpiérrez:
Economic uncertainty impact in forecasting Uruguayan macro variables:
REF: 38:
Economic uncertainty impact in forecasting Uruguayan macro variables:
REF: 38:
Riccardo De Blasis:
A semi-Markov approach to financial modelling during the COVID19 pandemic:
REF: 41:
A semi-Markov approach to financial modelling during the COVID19 pandemic:
REF: 41:
Salvatore Vergine, Cesar Alvarez Arroyo, Guglielmo D'Amico, Juan Manuel Esca��o Gonzalez and L��zaro Alvarado Barrios:
Stochastic model for microgrid management:
REF: 44:
Stochastic model for microgrid management:
REF: 44:
Mohammed Al Saleh, Béatrice Finance, Yehia Taher, Ali Jaber and Roger Luff:
Online Classification of High Gamma Dose Rate Incidents:
REF: 45:
Online Classification of High Gamma Dose Rate Incidents:
REF: 45:
Alif Aditya Wicaksono, Wiwik Anggraeni and Mauridhi Hery Purnomo:
Deep Learning Approaches for Daily Climate Forecasting, Case Study: Malang Indonesia:
REF: 46:
Deep Learning Approaches for Daily Climate Forecasting, Case Study: Malang Indonesia:
REF: 46:
Jing Zhang and Daniel Nikovski:
APUMPEDI: Approximating Pan Matrix Profiles of Time Series Under Unnormalized Euclidean Distances by Interpolation:
REF: 51:
APUMPEDI: Approximating Pan Matrix Profiles of Time Series Under Unnormalized Euclidean Distances by Interpolation:
REF: 51:
Diego J. Pedregal, Juan R. Trapero and Enrique Holgado:
Demand forecasting under lost-sales stock policies with Tobit Exponential Smoothing:
REF: 55:
Demand forecasting under lost-sales stock policies with Tobit Exponential Smoothing:
REF: 55:
Filippo Petroni, Guglielmo D'Amico and Flavio Prattico:
Indexed Semi-Markov Model to forecast volatility in cryptocurrency market:
REF: 60:
Indexed Semi-Markov Model to forecast volatility in cryptocurrency market:
REF: 60:
Serena Brianzoni, Giovanni Campisi, Graziella Pacelli and Filippo Petroni:
Heterogeneous agent model of multi-assets in discrete-time:
REF: 69:
Heterogeneous agent model of multi-assets in discrete-time:
REF: 69:
Eduardo Caro Huertas and Jesús Juan Ruiz:
Short-Term Electricity Load Forecasting: Modelling the COVID-19 Lockdown in Spain:
REF: 70:
Short-Term Electricity Load Forecasting: Modelling the COVID-19 Lockdown in Spain:
REF: 70:
Aleš Kresta and Anlan Wang:
Comparison of different portfolio optimization strategies to minimize the risk:
REF: 71:
Comparison of different portfolio optimization strategies to minimize the risk:
REF: 71:
Asher Siebert, Bohar Singh, M. Azhar Ehsan, Souha Ouni, Yohana Tekeste, Remi Cousin, Igor Khomyakov, Aaron Kaplan and Daniel Osgood:
Forecast-based Financing for Food Security Interventions in Africa: Case Studies in Djibouti, Ethiopia, Lesotho, Madagascar and Niger:
REF: 73:
Forecast-based Financing for Food Security Interventions in Africa: Case Studies in Djibouti, Ethiopia, Lesotho, Madagascar and Niger:
REF: 73:
Grzegorz Dudek, Slawek Smyl and Paweł Pełka:
Recurrent Neural Networks for Forecasting Time Series with Multiple Seasonality: A Comparative Study:
REF: 75:
Recurrent Neural Networks for Forecasting Time Series with Multiple Seasonality: A Comparative Study:
REF: 75:
Mireya Morgana-Orellana, Patricia Picazo-Peral and Sergio Moreno-Gil:
Rethinking Tourism and Hospitality Research:
REF: 78:
Rethinking Tourism and Hospitality Research:
REF: 78:
Dieter Nautz:
Inflation Expectations, Inflation Target Credibility and the COVID-19 Pandemic: New Evidence from Germany:
REF: 97:
Inflation Expectations, Inflation Target Credibility and the COVID-19 Pandemic: New Evidence from Germany:
REF: 97:
Gianluca Cubadda and Marco Mazzali:
The Vector Error Correction Index Model: Representation and Statistical Inference:
REF: 98:
The Vector Error Correction Index Model: Representation and Statistical Inference:
REF: 98:
Juan Kalemkerian:
Modelling a Continuous Time Series from FOU(p) processes:
REF: 100:
Modelling a Continuous Time Series from FOU(p) processes:
REF: 100:
Enrique Fernández, José Ramón Villar, Alberto Navarro and Javier Sedano:
Early detection of flash-floods using Case-Based Reasoning:
REF: 103:
Early detection of flash-floods using Case-Based Reasoning:
REF: 103:
Alexander Schnurr and Svenja Fischer:
An ordinal procedure to detect change points in the dependence structure between non-stationary time series:
REF: 107:
An ordinal procedure to detect change points in the dependence structure between non-stationary time series:
REF: 107:
Can Wang, Mitra Baratchi, Thomas Thomas Bäck, Holger H. Hoos, Steffen Limmer and Markus Olhofer:
Towards time series feature engineering in automated machine learning for multi-step forecasting:
REF: 108:
Towards time series feature engineering in automated machine learning for multi-step forecasting:
REF: 108:
Daniele Girolimetto and Tommaso Di Fonzo:
Point and probabilistic forecast reconciliation for general linearly constrained multiple time series:
REF: 110:
Point and probabilistic forecast reconciliation for general linearly constrained multiple time series:
REF: 110:
Miguel Ángel Ruiz Reina:
Multichoice Entropy Clustering for Time Series and Seasonality:
REF: 111:
Multichoice Entropy Clustering for Time Series and Seasonality:
REF: 111:
Valerian Cimniak, Martin Brutsche, Michael Grill, André Kulzer and Michael Bargende:
Sensor-Based Anomaly Detection for Marine Engines with LSTM Auto-Encoders:
REF: 113:
Sensor-Based Anomaly Detection for Marine Engines with LSTM Auto-Encoders:
REF: 113:
Tanzeela Yaqoob and Arfa Maqsood:
Exploring the performance of Test Statistics of Time Series Outlier Detection: Evidence from Robust Estimation Methods:
REF: 117:
Exploring the performance of Test Statistics of Time Series Outlier Detection: Evidence from Robust Estimation Methods:
REF: 117:
Martin Angerbauer, Michael Grill and André Casal Kulzer:
Long Short-Term Memory Networks for the prediction of Fuel Cell Voltage and Efficiency:
REF: 120:
Long Short-Term Memory Networks for the prediction of Fuel Cell Voltage and Efficiency:
REF: 120:
Catherine Doz and Anna Petronevich:
Three states of the French business cycle:
REF: 125:
Three states of the French business cycle:
REF: 125:
Rockefeller Rockefeller, Bubacarr Bah, Vukosi Marivate and Hans-Georg Zimmermann:
Improving the Predictive Power of Historical Consistent Neural Network:
REF: 127:
Improving the Predictive Power of Historical Consistent Neural Network:
REF: 127:
Carole Lebreton, Fabrice Kbidi, Frédéric Alicalapa, Michel Benne and Cédric Damour:
PV fault diagnosis method based on time series electrical signal analysis:
REF: 128:
PV fault diagnosis method based on time series electrical signal analysis:
REF: 128:
Alex Babiš and Beáta Stehlíková:
Performance evaluation of a family of GARCH processes based on Value-at-risk forecasts:
REF: 131:
Performance evaluation of a family of GARCH processes based on Value-at-risk forecasts:
REF: 131:
H. Herwartz, J. Roestel and F. Xu:
Measuring the impact of monetary policy on the stock market via an identified multivariate GARCH model:
REF: 132:
Measuring the impact of monetary policy on the stock market via an identified multivariate GARCH model:
REF: 132:
Claudio M. C. Inacio Jr and Sergio A. David:
Measuring the dynamic cross-correlation and contagion effect between Brent crude and heating oil (US-Diesel) prices pre and during the Covid-19 outbreak:
REF: 136:
Measuring the dynamic cross-correlation and contagion effect between Brent crude and heating oil (US-Diesel) prices pre and during the Covid-19 outbreak:
REF: 136:
Benjamin Franz, Alexander Wasserburger, Christoph Hametner and Stefan Jakubek:
Forecasting of COVID-19 Hospital Occupancy Using Differential Flatness:
REF: 139:
Forecasting of COVID-19 Hospital Occupancy Using Differential Flatness:
REF: 139:
Ruggero Sainaghi and Jorge Chica-Olmo:
EFFECTS OF TRANSPORTATION, COMMERCE, AND SPILLOVER ON AIRBNB:
REF: 14:
EFFECTS OF TRANSPORTATION, COMMERCE, AND SPILLOVER ON AIRBNB:
REF: 14:
Yuvraj Sunecher:
Modelling the Number of Intra-day Stock Transactions using a Novel Time Series Model:
REF: 143:
Modelling the Number of Intra-day Stock Transactions using a Novel Time Series Model:
REF: 143:
Tsegamlak Terefe Debella, Bethelhem Seifu Shawel, Maxime Devanne, Jonathan Weber, Dereje Hailemariam Woldegebriel, Sofie Pollin and Germain Forestier:
Deep Representation Learning for Cluster Level Time Series Forecasting:
REF: 144:
Deep Representation Learning for Cluster Level Time Series Forecasting:
REF: 144:
Aleksandra Wójcicka-Wójtowicz and Anna Łyczkowska-Hanćkowiak:
Recommendations of stockbrokers vs. fuzzy portfolio approach in construction sector:
REF: 146:
Recommendations of stockbrokers vs. fuzzy portfolio approach in construction sector:
REF: 146:
Xabat Larrea, Mikel Hernandez, Gorka Epelde, Andoni Beristain, Cristina Molina, Ane Alberdi, Debbie Rankin, Panagiotis Bamidis and Evdokimos Konstantinidis:
Synthetic subject generation with coupled coherent time series data:
REF: 147:
Synthetic subject generation with coupled coherent time series data:
REF: 147:
Rafael Alvarenga, Hubert Herbaux and Laurent Linguet:
Combination of post-processing methods to improve high resolution solar irradiance forecasts in French Guiana:
REF: 152:
Combination of post-processing methods to improve high resolution solar irradiance forecasts in French Guiana:
REF: 152:
Belen Rosado, Luis Miguel Peci, Amós De Gil, Paola Barba and Manel Berrocoso:
Geothermal time series analysis of the Deception volcano 2011-2022 (Antarctica):
REF: 155:
Geothermal time series analysis of the Deception volcano 2011-2022 (Antarctica):
REF: 155:
Monika Warmuth, Philipp Romberger, Knut Hüper and Christian Uhl:
Dynamical Component Analysis: Updated and improved algorithm, applications, and limitations:
REF: 156:
Dynamical Component Analysis: Updated and improved algorithm, applications, and limitations:
REF: 156:
Majdi Frikha, Khaled Taouil, Ahmed Fakhfakh and Faouzi Derbel:
Limitation of deep learning algorithm for prediction power consumption:
REF: 171:
Limitation of deep learning algorithm for prediction power consumption:
REF: 171:
Francesco Aristodemo, Tommaso Caloiero, Andrea Lira Loarca and Giovanni Besio:
Detection and quantification of wave trends in Southern Italy:
REF: 175:
Detection and quantification of wave trends in Southern Italy:
REF: 175:
Mohammed Al Saleh, Béatrice Finance, Yehia Taher, Ali Jaber and Roger Luff:
Time Series Clustering of High Gamma Dose Rate Incidents:
REF: 179:
Time Series Clustering of High Gamma Dose Rate Incidents:
REF: 179:
Bruno Mendes, Ana Maria Tomé and José Moreira:
Feature Importance Study on Forecasting Hourly Retail Time Series:
REF: 182:
Feature Importance Study on Forecasting Hourly Retail Time Series:
REF: 182:
Tom Vanwalleghem and María del Pilar Jiménez Donaire:
Study of the interaction between cereal yield and hydroclimatic factors through Dynamic Factor Analysis:
REF: 184:
Study of the interaction between cereal yield and hydroclimatic factors through Dynamic Factor Analysis:
REF: 184:
Harald Bergsteiner:
The WEF’s Global Competitiveness Reports: A case of reliable nonsense?:
REF: 186:
The WEF’s Global Competitiveness Reports: A case of reliable nonsense?:
REF: 186:
Franko Pandžić, Ivan Sudić, Amalija Božiček, Matko Mesar, Bojan Franc, Marija Žmire and Ivan Šturlić:
Power grid load forecasting using ridge regression including weather forecasts, reanalyses, terrestrial and satellite weather data:
REF: 188:
Power grid load forecasting using ridge regression including weather forecasts, reanalyses, terrestrial and satellite weather data:
REF: 188:
Maha Shadaydeh, Joachim Denzler and Mirco Migliavacca:
Partitioning of Net Ecosystem Exchange using Dynamic Mode Decomposition and Time Delay Embedding:
REF: 194:
Partitioning of Net Ecosystem Exchange using Dynamic Mode Decomposition and Time Delay Embedding:
REF: 194:
(c) 2019 University of Granada