Mahdi Hashemi
Orcid: 0000-0003-0212-0228Affiliations:
- George Mason University, Fairfax, VA, USA
- University of Nebraska Omaha, College of Information Science and Technology, NE, USA
- University of Pittsburgh, School of Information Sciences, Geoinformatics Laboratory, PA, USA
- K. N. Toosi University of Technology, Department of Geospatial Information Systems, Tehran, Iran (former)
According to our database1,
Mahdi Hashemi
authored at least 37 papers
between 2011 and 2023.
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Bibliography
2023
Geographical visualization of tweets, misinformation, and extremism during the USA 2020 presidential election using LSTM, NLP, and GIS.
J. Big Data, December, 2023
2022
J. Inf. Commun. Ethics Soc., 2022
Feature Selection and Spatial-Temporal Forecast of Oceanic Niño Index Using Deep Learning.
Int. J. Softw. Eng. Knowl. Eng., 2022
Predicting Ride Hailing Service Demand Using Autoencoder and Convolutional Neural Network.
Int. J. Softw. Eng. Knowl. Eng., 2022
Automatic Type Detection of 311 Service Requests Based on Customer Provided Descriptions.
Appl. Artif. Intell., 2022
2021
Forecasting El Niño and La Niña Using Spatially and Temporally Structured Predictors and a Convolutional Neural Network.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021
A Data-Driven Framework for Coding the Intent and Extent of Political Tweeting, Disinformation, and Extremism.
Inf., 2021
Inf., 2021
Spatial-Temporal Forecast of the probability distribution of Oceanic Nino Index for various lead times.
Proceedings of the 33rd International Conference on Software Engineering and Knowledge Engineering, 2021
Ride Hailing Service Demand Forecast by Integrating Convolutional and Recurrent Neural Networks.
Proceedings of the 33rd International Conference on Software Engineering and Knowledge Engineering, 2021
Proceedings of the 22nd IEEE International Conference on Information Reuse and Integration for Data Science, 2021
Proceedings of the 22nd IEEE International Conference on Information Reuse and Integration for Data Science, 2021
Traffic Flow Prediction using Long Short-Term Memory Network and Optimized Spatial Temporal Dependencies.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021
2020
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020
Multim. Tools Appl., 2020
Retraction Note: Criminal tendency detection from facial images and the gender bias effect.
J. Big Data, 2020
Multi-label classification and knowledge extraction from oncology-related content on online social networks.
Artif. Intell. Rev., 2020
Proceedings of the 21st International Conference on Information Reuse and Integration for Data Science, 2020
Proceedings of the 21st International Conference on Information Reuse and Integration for Data Science, 2020
Proceedings of the 21st International Conference on Information Reuse and Integration for Data Science, 2020
2019
Automatic Inference of Road and Pedestrian Networks From Spatial-Temporal Trajectories.
IEEE Trans. Intell. Transp. Syst., 2019
Enlarging smaller images before inputting into convolutional neural network: zero-padding vs. interpolation.
J. Big Data, 2019
2018
Visualization, Feature Selection, Machine Learning: Identifying the Responsible Group for Extreme Acts of Violence.
IEEE Access, 2018
Identifying the Responsible Group for Extreme Acts of Violence Through Pattern Recognition.
Proceedings of the HCI in Business, Government, and Organizations, 2018
2017
Comput. Environ. Urban Syst., 2017
Reusability of the Output of Map-Matching Algorithms Across Space and Time Through Machine Learning.
IEEE Trans. Intell. Transp. Syst., 2017
Collaborative personalized multi-criteria wayfinding for wheelchair users in outdoors.
Trans. GIS, 2017
2016
A weight-based map-matching algorithm for vehicle navigation in complex urban networks.
J. Intell. Transp. Syst., 2016
Indoor Spatial Model and Accessibility Index for Emergency Evacuation of People with Disabilities.
J. Comput. Civ. Eng., 2016
Int. J. Adv. Pervasive Ubiquitous Comput., 2016
A Machine Learning Approach to Improve the Accuracy of GPS-Based Map-Matching Algorithms (Invited Paper).
Proceedings of the 17th IEEE International Conference on Information Reuse and Integration, 2016
2015
EAI Endorsed Trans. Cloud Syst., 2015
2014
A critical review of real-time map-matching algorithms: Current issues and future directions.
Comput. Environ. Urban Syst., 2014
2013
Comput. Geosci., 2013
2012
Comput. Environ. Urban Syst., 2012
2011
Proceedings of the Advancing Geoinformation Science for a Changing World [Papers from the 14th AGILE Conference, 2011