Hamideh Hajiabadi

Orcid: 0000-0002-5793-4563

According to our database1, Hamideh Hajiabadi authored at least 20 papers between 2014 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Detecting and analyzing topics of massive COVID-19 related tweets for various countries.
Comput. Electr. Eng., March, 2023

Analyzing the Effect of COVID-19 on Education by Processing Users' Sentiments.
Big Data Cogn. Comput., March, 2023

2022
Extracting Feelings of People Regarding COVID-19 by Social Network Mining.
J. Inf. Knowl. Manag., 2022

Trustable Mobile Crowd Sourcing for Acquiring Information from a Flooded Smart Area.
CoRR, 2022

Investigating the Impact of COVID-19 on Education by Social Network Mining.
CoRR, 2022

Easing the Reuse of ML Solutions by Interactive Clustering-based Autotuning in Scientific Applications.
Proceedings of the 48th Euromicro Conference on Software Engineering and Advanced Applications, 2022

2021
Extracting Feelings of People Regarding COVID-19 by Social Network Mining.
CoRR, 2021

Analyzing the Impact of COVID-19 on Economy from the Perspective of Users Reviews.
CoRR, 2021

Extracting Major Topics of COVID-19 Related Tweets.
CoRR, 2021

Toward Awareness Creation of Common Challenges Women are Facing in Academia: A Study from a German Perspective.
Proceedings of the Software Architecture - 15th European Conference, 2021

Applying Machine Learning for Integration of Multi-Modal Genomics Data and Imaging Data to Quantify Heterogeneity in Tumour Tissues.
Proceedings of the Artificial Neural Networks - Third Edition., 2021

2020
Combination of loss functions for deep text classification.
Int. J. Mach. Learn. Cybern., 2020

Robust metric learning based on the rescaled hinge loss.
Int. J. Mach. Learn. Cybern., 2020

Combination of loss functions for robust breast cancer prediction.
Comput. Electr. Eng., 2020

2019
relf: robust regression extended with ensemble loss function.
Appl. Intell., 2019

Layered Geometric Learning.
Proceedings of the Artificial Intelligence and Soft Computing, 2019

2017
On Extending Neural Networks with Loss Ensembles for Text Classification.
Proceedings of the Australasian Language Technology Association Workshop, 2017

2015
Cryptanalysis Of An Authenticated Image Encryption Scheme Based On Chaotic Maps And Memory Cellular Automata.
IACR Cryptol. ePrint Arch., 2015

2014
Learning a Kernel Matrix Using Some Similar and Dissimilar pairs.
Int. J. Comb. Optim. Probl. Informatics, 2014

Ontology Based Data Mining Approach on Web Documents.
Comput. Inf. Sci., 2014


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