Hamideh Hajiabadi

24 papers B 1Misc 1Journal 16Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	—	`—`	Assisting in the Reuse of Artificial Intelligence Approaches in Biological Image Processing. Hamideh Hajiabadi
2025	—	`ed.`	Software Engineering 2025 Companion Proceedings, Fachtagung des GI-Fachbereichs Softwaretechnik, Karlsruhe, Germany, February 24-28, 2025 Software Engineering Companion Kevin Feichtinger, Lisa Sonnleithner, Hamideh Hajiabadi
2025	J	`jnl`	Temporal analysis of topic modeling output by machine learning techniques. Int. J. Data Sci. Anal. Faezeh Azizi, Hamed Vahdat-Nejad, Hamideh Hajiabadi
2024	J	`jnl`	A data-driven active learning approach to reusing ML solutions in scientific applications. J. Syst. Softw. Hamideh Hajiabadi, Christopher Gerking, Lennart Hilbert, Anne Koziolek
2024	—	`conf`	Exploring Existing Tools for Managing Different Types of Research Data. INFORMATIK Adrian Freund, Hamideh Hajiabadi, Anne Koziolek
2023	J	`jnl`	Analyzing the Effect of COVID-19 on Education by Processing Users' Sentiments. Big Data Cogn. Comput. Mohadese Jamalian, Hamed Vahdat-Nejad, Wathiq Mansoor, Abigail Copiaco, Hamideh Hajiabadi
2023	J	`jnl`	Detecting and analyzing topics of massive COVID-19 related tweets for various countries. Comput. Electr. Eng. Faezeh Azizi, Hamideh Hajiabadi, Hamed Vahdat-Nejad, Mohammad Hossein Khosravi
2022	B	`conf`	Easing the Reuse of ML Solutions by Interactive Clustering-based Autotuning in Scientific Applications. SEAA Hamideh Hajiabadi, Lennart Hilbert, Anne Koziolek
2022	J	`jnl`	Extracting Feelings of People Regarding COVID-19 by Social Network Mining. J. Inf. Knowl. Manag. Hamed Vahdat-Nejad, Fatemeh Salmani, Mahdi Hajiabadi, Faezeh Azizi, Sajedeh Abbasi, Mohadese Jamalian, Reyhaneh Mosafer, Parsa Bagherzadeh, Hamideh Hajiabadi
2022	J	`jnl`	Investigating the Impact of COVID-19 on Education by Social Network Mining. CoRR Mohadese Jamalian, Hamed Vahdat-Nejad, Hamideh Hajiabadi
2022	J	`jnl`	Trustable Mobile Crowd Sourcing for Acquiring Information from a Flooded Smart Area. CoRR Sajedeh Abbasi, Hamed Vahdat-Nejad, Hamideh Hajiabadi
2021	J	`jnl`	Analyzing the Impact of COVID-19 on Economy from the Perspective of Users Reviews. CoRR Fatemeh Salmani, Hamed Vahdat-Nejad, Hamideh Hajiabadi
2021	—	`ch.`	Applying Machine Learning for Integration of Multi-Modal Genomics Data and Imaging Data to Quantify Heterogeneity in Tumour Tissues. Artificial Neural Networks, 3rd Edition Xiao Tan, Andrew Su, Hamideh Hajiabadi, Minh Tran, Quan Nguyen
2021	J	`jnl`	Extracting Feelings of People Regarding COVID-19 by Social Network Mining. CoRR Hamed Vahdat-Nejad, Fatemeh Salmani, Mahdi Hajiabadi, Faezeh Azizi, Sajedeh Abbasi, Mohadese Jamalian, Reyhane Mosafer, Hamideh Hajiabadi
2021	J	`jnl`	Extracting Major Topics of COVID-19 Related Tweets. CoRR Faezeh Azizi, Hamed Vahdat-Nejad, Hamideh Hajiabadi, Mohammad Hossein Khosravi
2021	—	`conf`	Toward Awareness Creation of Common Challenges Women are Facing in Academia: A Study from a German Perspective. ECSA (Tracks and Workshops) Sophie Corallo, Manar Mazkatli, Martina Rapp, Hamideh Hajiabadi, Angelika Kaplan, Romina Kühn, Larissa Schmid, Snigdha Singh
2020	J	`jnl`	Combination of loss functions for deep text classification. Int. J. Mach. Learn. Cybern. Hamideh Hajiabadi, Diego Mollá Aliod, Reza Monsefi, Hadi Sadoghi Yazdi
2020	J	`jnl`	Combination of loss functions for robust breast cancer prediction. Comput. Electr. Eng. Hamideh Hajiabadi, Vahide Babaiyan, Davood Zabihzadeh, Moein Hajiabadi
2020	J	`jnl`	Robust metric learning based on the rescaled hinge loss. Int. J. Mach. Learn. Cybern. Sumia Abdulhussien Razooqi Al-Obaidi, Davood Zabihzadeh, Hamideh Hajiabadi
2019	—	`conf`	Layered Geometric Learning. ICAISC (1) Hamideh Hajiabadi, Reza Godaz, Morteza Ghasemi, Reza Monsefi
2019	J	`jnl`	relf: robust regression extended with ensemble loss function. Appl. Intell. Hamideh Hajiabadi, Reza Monsefi, Hadi Sadoghi Yazdi
2018	J	`jnl`	RELF: Robust Regression Extended with Ensemble Loss Function. CoRR Hamideh Hajiabadi, Reza Monsefi, Hadi Sadoghi Yazdi
2017	Misc	`conf`	On Extending Neural Networks with Loss Ensembles for Text Classification. ALTA Hamideh Hajiabadi, Diego Mollá Aliod, Reza Monsefi
2017	J	`jnl`	On Extending Neural Networks with Loss Ensembles for Text Classification. CoRR Hamideh Hajiabadi, Diego Mollá Aliod, Reza Monsefi