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ORCIDHamideh Hajiabadi 0001
Person information
- affiliation: Karlsruhe Institute of Technology (KIT), KASTEL - Institute of Information Security and Dependability, Karlsruhe, Germany
- affiliation (former): Ferdowsi University of Mashhad (FUM), Mashhad, Iran
Other persons with the same name
- Hamideh Hajiabadi — disambiguation page
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2020 – today
- 2025
[b1]Hamideh Hajiabadi:
Assisting in the Reuse of Artificial Intelligence Approaches in Biological Image Processing. Karlsruhe Institute of Technology, Germany, 2025- [j9]Faezeh Azizi, Hamed Vahdat-Nejad, Hamideh Hajiabadi
:
Temporal analysis of topic modeling output by machine learning techniques. Int. J. Data Sci. Anal. 20(3): 2175-2225 (2025) - [e1]Kevin Feichtinger, Lisa Sonnleithner, Hamideh Hajiabadi:
Software Engineering 2025 Companion Proceedings, Fachtagung des GI-Fachbereichs Softwaretechnik, Karlsruhe, Germany, February 24-28, 2025. Gesellschaft für Informatik e.V. 2025 [contents] - 2024
- [j8]Hamideh Hajiabadi, Christopher Gerking, Lennart Hilbert, Anne Koziolek:
A data-driven active learning approach to reusing ML solutions in scientific applications. J. Syst. Softw. 211: 111986 (2024) - [c5]Adrian Freund, Hamideh Hajiabadi, Anne Koziolek:
Exploring Existing Tools for Managing Different Types of Research Data. INFORMATIK 2024: 2181-2193 - 2023
- [j7]Mohadese Jamalian, Hamed Vahdat-Nejad, Wathiq Mansoor, Abigail Copiaco, Hamideh Hajiabadi:
Analyzing the Effect of COVID-19 on Education by Processing Users' Sentiments. Big Data Cogn. Comput. 7(1): 28 (2023) - [j6]Faezeh Azizi, Hamideh Hajiabadi, Hamed Vahdat-Nejad, Mohammad Hossein Khosravi:
Detecting and analyzing topics of massive COVID-19 related tweets for various countries. Comput. Electr. Eng. 106: 108561 (2023) - 2022
- [j5]Hamed Vahdat-Nejad, Fatemeh Salmani, Mahdi Hajiabadi, Faezeh Azizi, Sajedeh Abbasi, Mohadese Jamalian, Reyhaneh Mosafer, Parsa Bagherzadeh, Hamideh Hajiabadi:
Extracting Feelings of People Regarding COVID-19 by Social Network Mining. J. Inf. Knowl. Manag. 21(Supplement-1): 2240008:1-2240008:16 (2022) - [c4]Hamideh Hajiabadi, Lennart Hilbert, Anne Koziolek:
Easing the Reuse of ML Solutions by Interactive Clustering-based Autotuning in Scientific Applications. SEAA 2022: 5-12 - [i7]Mohadese Jamalian, Hamed Vahdat-Nejad, Hamideh Hajiabadi:
Investigating the Impact of COVID-19 on Education by Social Network Mining. CoRR abs/2203.06584 (2022) - [i6]Sajedeh Abbasi, Hamed Vahdat-Nejad, Hamideh Hajiabadi:
Trustable Mobile Crowd Sourcing for Acquiring Information from a Flooded Smart Area. CoRR abs/2203.07028 (2022) - 2021
- [c3]Sophie Corallo, Manar Mazkatli, Martina Rapp, Hamideh Hajiabadi, Angelika Kaplan, Romina Kühn, Larissa Schmid, Snigdha Singh:
Toward Awareness Creation of Common Challenges Women are Facing in Academia: A Study from a German Perspective. ECSA (Tracks and Workshops) 2021: 47-62 - [p1]Xiao Tan, Andrew Su, Hamideh Hajiabadi, Minh Tran, Quan Nguyen:
Applying Machine Learning for Integration of Multi-Modal Genomics Data and Imaging Data to Quantify Heterogeneity in Tumour Tissues. Artificial Neural Networks, 3rd Edition 2021: 209-228 - [i5]Faezeh Azizi, Hamed Vahdat-Nejad, Hamideh Hajiabadi, Mohammad Hossein Khosravi:
Extracting Major Topics of COVID-19 Related Tweets. CoRR abs/2110.01876 (2021) - [i4]Fatemeh Salmani, Hamed Vahdat-Nejad, Hamideh Hajiabadi:
Analyzing the Impact of COVID-19 on Economy from the Perspective of Users Reviews. CoRR abs/2110.02198 (2021) - [i3]Hamed Vahdat-Nejad, Fatemeh Salmani, Mahdi Hajiabadi, Faezeh Azizi, Sajedeh Abbasi, Mohadese Jamalian, Reyhane Mosafer, Hamideh Hajiabadi:
Extracting Feelings of People Regarding COVID-19 by Social Network Mining. CoRR abs/2110.06151 (2021) - 2020
- [j4]Hamideh Hajiabadi, Vahide Babaiyan, Davood Zabihzadeh, Moein Hajiabadi:
Combination of loss functions for robust breast cancer prediction. Comput. Electr. Eng. 84: 106624 (2020) - [j3]Hamideh Hajiabadi, Diego Mollá Aliod, Reza Monsefi, Hadi Sadoghi Yazdi:
Combination of loss functions for deep text classification. Int. J. Mach. Learn. Cybern. 11(4): 751-761 (2020) - [j2]Sumia Abdulhussien Razooqi Al-Obaidi, Davood Zabihzadeh, Hamideh Hajiabadi:
Robust metric learning based on the rescaled hinge loss. Int. J. Mach. Learn. Cybern. 11(11): 2515-2528 (2020)
2010 – 2019
- 2019
- [j1]Hamideh Hajiabadi, Reza Monsefi, Hadi Sadoghi Yazdi:
relf: robust regression extended with ensemble loss function. Appl. Intell. 49(4): 1437-1450 (2019) - [c2]Hamideh Hajiabadi, Reza Godaz, Morteza Ghasemi, Reza Monsefi:
Layered Geometric Learning. ICAISC (1) 2019: 571-582 - 2018
- [i2]Hamideh Hajiabadi, Reza Monsefi, Hadi Sadoghi Yazdi:
RELF: Robust Regression Extended with Ensemble Loss Function. CoRR abs/1810.11071 (2018) - 2017
- [c1]Hamideh Hajiabadi, Diego Mollá Aliod, Reza Monsefi:
On Extending Neural Networks with Loss Ensembles for Text Classification. ALTA 2017: 98-102 - [i1]Hamideh Hajiabadi, Diego Mollá Aliod, Reza Monsefi:
On Extending Neural Networks with Loss Ensembles for Text Classification. CoRR abs/1711.05170 (2017)
Coauthor Index
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