Prof. Hossein Bonakdari The Pulse of Predictive Science: Bridging Traditional and AI in Time Series Analysis
Videos ITISE 2024
Martín Solís and Luis-Alexander Calvo-Valverde Deep Leaning for crime forecasting of multiple regions, considering the spatial temporal correlations between regions
REF: 180.
José Gerardo Covarrubias López and Xuedong Liu Sun Using the dichotomous variable to model structural change in time series: an application to international trade
REF: 435.
Frédéric Montet, Benjamin Pasquier, Beat Wolf and Jean Hennebert Enabling Diffusion Model for Conditioned Time Series Generation
REF: 783.
Eugene Pinsky and Pironavakumar Kandaswamy A Machine Learning-based Approach to Analyze and Visualize Time-Series Sentencing Data
REF: 917.
Sarthak Pattnaik, Sagar Mandiya, Parita Danole, Ghazal Mashhadiagha, Ali Foroutan, Yousef Shafaei Khangdah, Khatereh Sazadehfar and Eugene Pinsky Analyzing Patterns of Injury in Occupational Hand Trauma Focusing on Press Machines: Registry Based Study and Machine Learning Analysis
REF: 1056.
Fernando García, Francisco Guijarro, Javier Oliver and Rima Tamošiūnienė Foreign Exchange forecasting models: LSTM and BiLSTM comparison
REF: 1328.
Jose Aureliano Martin Segura and Cesar Pérez López The impact of greenhouse gas emissions on global economic activity and health
REF: 2265.
Sergej Korlakov, Gerhard Klassen, Luca T. Bauer and Stefan Conrad Multi-objective Optimization for Selection of Clusterings Across Time
REF: 2604.
Slawek Smyl Neural Networks Global Models with Context
REF: 3460.
Henrique Moura, Els de Vleeschauwer, Gerald Haesendonck, Ben De Meester, Lynn D'Eer, Tom De Schepper, Siegfried Mercelis and Erik Mannens Performance of an End-to-End Inventory Demand Forecasting Pipeline Using a Federated Data Ecosystem
REF: 3689.
Yuvraj Sunecher and Naushad Mamode Khan Comparison of Inferential Methods for a Novel CMP Model.
REF: 4508.
Juan Manuel Rodríguez Riesgo and Juan Luis Cabrera Fernández Reservoir neural network computing for time series forecasting in Aerospace and beyond. Potential applications to predictive maintenance.
REF: 4692.
Santiago Zazo del Dedo, José Luis Molina González, Carmen Patino Alonso, Fernando Espejo Almodovar and Juan Carlos García Prieto Annual runoff forecasting through Bayesian causality
REF: 5731.
Evangelos Ioannidis A New Non-parametric Cross-spectrum Estimator
REF: 6283.
Siva Manohar Reddy Kesu, Neelam Sinha and Hariharan Ramasangu Cellular Automata Framework for Dementia Classification using Explainable AI
REF: 6437.
Sarthak Pattnaik, Natasya Liew, Ali Ozcan Kures, Kathleen Park and Eugene Pinsky Catalyzing Supply Chain Evolution: A Comprehensive Examination of Artificial Intelligence Integration in Supply Chain Management
REF: 6533.
Tom Komar and Philip James Multiscale Hierarchical Forecasting of Urban Footfall
REF: 7501.
Sandhya Patidar, Chakron Dechkrut, Andrew Peacock, Abhinanda Roy and Yigit Duveroglu Missing data imputation for heat pump performance analytics
REF: 9025.
José Gerardo Covarrubias López and Xuedong Liu Sun Modeling a set of variables with different attributes on a quantitative dependent variable: an application of dichotomous variables
REF: 9515.
David Esneyder Bello Angulo and Elizabeth León Guzmán Multi-Modal Model based on LSTM for Production Forecasting in Oil Wells with Rod Lift System
REF: 9771.
César Sáenz, Alfonso Bermejo-Saiz, Víctor Cicuéndez, Tomás Pugni, Diego Madruga, Javier Litago and Alicia Palacios-Orueta Prediction and estimation of yield cereal production using NDVI time series (Sentinel-2) data in central Spain
REF: 9973.
PDF Presentations (ITISE-2024)
Martín Solís and Luis-Alexander Calvo-Valverde Deep Leaning for crime forecasting of multiple regions, considering the spatial temporal correlations between regions
REF: 180.
Guy Mélard Standard errors in nonlinear and time series models
REF: 232.
Nicolò Perello, Giorgio Meschi, Andrea Trucchia, Mirko D'Andrea, Silvia Degli Esposti and Paolo Fiorucci Dynamic Maps Powered by Machine Learning and Time Series Classification for Wildfire Risk Management
REF: 298.
John Maheu and Hamidreza Masoumi Identification and Forecasting of Bull and Bear Markets Using a Mixture of Markov switching Models and Rule-based Dating Algorithms
REF: 761.
Saeed Heravi, Bo Guan, Yongmi Fang, Emmanuel Silva and Hossein Hassani Optimal Forecast Combination for Japanese Tourism Demand
REF: 776.
Frédéric Montet, Benjamin Pasquier, Beat Wolf and Jean Hennebert Enabling Diffusion Model for Conditioned Time Series Generation
REF: 783.
Eugene Pinsky and Pironavakumar Kandaswamy A Machine Learning-based Approach to Analyze and Visualize Time-Series Sentencing Data
REF: 917.
Sarthak Pattnaik, Sagar Mandiya, Parita Danole, Ghazal Mashhadiagha, Ali Foroutan, Yousef Shafaei Khangdah, Khatereh Sazadehfar and Eugene Pinsky Analyzing Patterns of Injury in Occupational Hand Trauma Focusing on Press Machines: Registry Based Study and Machine Learning Analysis
REF: 1056.
Youssef Salman, Anis Hoayek and Mireille Batton-Hubert New algorithm for detecting weak changes in the mean in a class of CHARN models with application to welding electrical signals
REF: 1112.
Fernando García, Francisco Guijarro, Javier Oliver and Rima Tamošiūnienė Foreign Exchange forecasting models: LSTM and BiLSTM comparison
REF: 1328.
Ludwig Horsthemke, Jens Pogorzelski, Dennis Stiegekötter, Frederik Hoffmann, Ann-Sophie Rösner, Markus Gregor and Peter Glösekötter Towards Resolving the Ambiguity in Low-Field All-Optical Magnetic Field Sensing With High NV-Density Diamonds
REF: 1520.
Etinenne Meunier, Pierre Moreau, Tanvi Sharma and Eugene Pinsky A Simple Computational Approach\\ to Predict Long-Term Hourly Electric Consumption
REF: 1837.
Jose Aureliano Martin Segura and Cesar Pérez López The impact of greenhouse gas emissions on global economic activity and health
REF: 2265.
Duarte Lopes, Isabel Preto and David Freire Exploring Optimal Strategies for Small-Hydro Power Forecasting: Training Periods and Methodological Variations
REF: 2318.
Uwe Hassler and Mehdi Hosseinkouchack Self-normalizing Tests Using the Cauchy Distribution
REF: 2366.
Isabel Preto, António Couto, Ricardo Faria, Hugo Algarvio, Duarte Lopes and Ana Estanqueiro Enhanced Renewable Power Forecasting through NWP and Historical Power Data Integration
REF: 2434.
Quentin Besnard and Nicolas Ragot Continual Learning for Time Series Forecasting
REF: 2474.
Anuva Banwasi, Brennan McManus and Adele Sinai Promoting Electric Vehicle Growth Through Infrastructure and Policy: A Forecasting Analysis
REF: 2579.
Nina Golyandina and Pavel Dudnik Extraction and forecasting of trends in cases of signal rank overestimation
REF: 3136.
Frederik Hoffmann, Ann-Sophie Bülter, Ludwig Horsthemke, Dennis Stiegekötter, Jens Pogorzelski, Peter Glösekötter and Markus Gregor A quantum current sensor for energy flow estimation in smart grids
REF: 3380.
Slawek Smyl Neural Networks Global Models with Context
REF: 3460.
Henrique Moura, Els de Vleeschauwer, Gerald Haesendonck, Ben De Meester, Lynn D'Eer, Tom De Schepper, Siegfried Mercelis and Erik Mannens Performance of an End-to-End Inventory Demand Forecasting Pipeline Using a Federated Data Ecosystem
REF: 3689.
Hwee Kwan Chow Gauging Growth Risk in an International Financial Centre: Some Evidence from Singapore
REF: 3699.
Juan Manuel Rodríguez Riesgo and Juan Luis Cabrera Fernández Reservoir neural network computing for time series forecasting in Aerospace and beyond. Potential applications to predictive maintenance.
REF: 4692.
Majid Mathlouthi and Fethi Lebdi Statistical analysis of longest dry spells phenomenon in Northern Tunisia based on probability laws
REF: 4802.
Dávid Tran Forecasting Hungarian FX Bond Yields
REF: 5226.
Santiago Zazo del Dedo, José Luis Molina González, Carmen Patino Alonso, Fernando Espejo Almodovar and Juan Carlos García Prieto Annual runoff forecasting through Bayesian causality
REF: 5731.
Martín Solís and Luis-Alexander Calvo-Valverde Explaining when Deep Learning models are better for time series forecasting
REF: 6055.
Joseph Moerschell, Fereshteh Jafari and Charles Praplan Neural Network Estimator Performance and Electric Energy Network Optimization
REF: 6315.
Siva Manohar Reddy Kesu, Neelam Sinha and Hariharan Ramasangu Cellular Automata Framework for Dementia Classification using Explainable AI
REF: 6437.
Sarthak Pattnaik, Natasya Liew, Ali Ozcan Kures, Kathleen Park and Eugene Pinsky Catalyzing Supply Chain Evolution: A Comprehensive Examination of Artificial Intelligence Integration in Supply Chain Management
REF: 6533.
Tom Komar and Philip James Multiscale Hierarchical Forecasting of Urban Footfall
REF: 7501.
Khalil Mhadhbi Transmission of oil price volatility to MENA stock markets: A comparative study between oil exporters and importers
REF: 8563.
Ipek Uremek, Paul Leahy and Emanuel Popovici A System for Efficient Detection of Forest Fires Through Low Power Environmental Data Monitoring and AI
REF: 8587.
Sandhya Patidar, Chakron Dechkrut, Andrew Peacock, Abhinanda Roy and Yigit Duveroglu Missing data imputation for heat pump performance analytics
REF: 9025.
Sergio Aquino-Britez, Pablo García Sánchez, Andrés Ortiz and Diego Aquino-Britez Energy Efficiency Evaluation of Frameworks for Algorithms in Time Series Forecasting
REF: 9117.
Dana Bryazka, Marissa Reitsma, Natalia Bhattacharjee, Stein Emil Vollset and Emmanuela Gakidou Forecasting the impacts of smoking prevalence scenarios from 2022 to 2050
REF: 9384.
Michael Manthey, Guoqi Qian and Antoinette Tordesillas Modelling Explosive Non-stationarity of Ground Motion Shows Potential for Landslide Early Warning
REF: 9458.
Dennis Stiegekötter, Ludwig Horsthemke, Ann-Sophie Bülter, Frederik Hoffmann, Jens Pogorzelski, Peter Glösekötter and Markus Gregor Digital Boxcar Averager on a Microcontroller for Pulsed ODMR Measurements of NV Centers
REF: 9480.
Luyi Shen, Guoqi Qian and Antoinette Tordesillas A Global Deep Learning Perspective on Australia-Wide Monthly Precipitation Prediction
REF: 9610.
David Esneyder Bello Angulo and Elizabeth León Guzmán Multi-Modal Model based on LSTM for Production Forecasting in Oil Wells with Rod Lift System
REF: 9771.
César Sáenz, Alfonso Bermejo-Saiz, Víctor Cicuéndez, Tomás Pugni, Diego Madruga, Javier Litago and Alicia Palacios-Orueta Prediction and estimation of yield cereal production using NDVI time series (Sentinel-2) data in central Spain
REF: 9973.
