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Milad Moradi
Observed name:
Moradi, Milad
Observed institutions:
Isfahan University of Technology,
Medical University of Vienna
ORCID:
0000-0002-9724-0339
Observed ORCID:
0000-0002-9724-0339
OpenAlex ID:
A5000171711
Post-hoc explanation of black-box classifiers using confident itemsets
2020
·
Milad Moradi
, Matthias Samwald
·
Expert Systems with Applications
·
119
PDF
Deep contextualized embeddings for quantifying the informative content in biomedical text summarization
2019
·
Milad Moradi
, Georg Dorffner
, et al.
·
Computer Methods and Programs in Biomedicine
·
84
Different approaches for identifying important concepts in probabilistic biomedical text summarization
2017
·
Milad Moradi
, Nasser Ghadiri
·
Artificial Intelligence in Medicine
·
79
PDF
Evaluating the Robustness of Neural Language Models to Input Perturbations
2021
·
Milad Moradi
, Matthias Samwald
·
Conference on Empirical Methods in Natural Language Processing (EMNLP)
·
75
PDF
Performance evaluation of SQL and MongoDB databases for big e-commerce data
2015
·
Seyyed Hamid Aboutorabi
, Mehdi Rezapour
, et al.
·
International Symposium on Computer Science and Software Engineering (CSSE)
·
61
ThoughtSource: A central hub for large language model reasoning data
2023
·
Simon Ott
, Konstantin Hebenstreit
, et al.
·
Scientific Data
·
49
PDF
CIBS: A biomedical text summarizer using topic-based sentence clustering
2018
·
Milad Moradi
·
Journal of Biomedical Informatics
·
45
PDF
A global analysis of metrics used for measuring performance in natural language processing
2022
·
Kathrin Blagec
, Georg Dorffner
, et al.
·
42
PDF
Summarization of biomedical articles using domain-specific word embeddings and graph ranking
2020
·
Milad Moradi
, Maedeh Dashti
, et al.
·
Journal of Biomedical Informatics
·
40
Quantifying the informativeness for biomedical literature summarization: An itemset mining method
2017
·
Milad Moradi
, Nasser Ghadiri
·
Computer Methods and Programs in Biomedicine
·
40
PDF
GPT-3 Models are Poor Few-Shot Learners in the Biomedical Domain
2021
·
Moradi, Milad
, Blagec, Kathrin
, et al.
·
arXiv (Cornell University)
·
37
PDF
Explaining Black-Box Models for Biomedical Text Classification
2021
·
Milad Moradi
, Matthias Samwald
·
IEEE Journal of Biomedical and Health Informatics
·
27
PDF
A critical analysis of metrics used for measuring progress in artificial intelligence
2020
·
Blagec, Kathrin
, Dorffner, Georg
, et al.
·
arXiv (Cornell University)
·
27
PDF
A Critical Review of Methods and Challenges in Large Language Models
2025
·
Rhona Asgari
, Milad Moradi
, et al.
·
Computers, materials & continua/Computers, materials & continua (Print)
·
24
PDF
A centralized reinforcement learning method for multi-agent job scheduling in Grid
2016
·
Milad Moradi
·
International Conference on Computer and Knowledge Engineering
·
23
PDF
Model-agnostic explainable artificial intelligence for object detection in image data
2024
·
Milad Moradi
, Ke Yan
, et al.
·
Engineering Applications of Artificial Intelligence
·
22
PDF
Improving the robustness and accuracy of biomedical language models through adversarial training
2022
·
Milad Moradi
, Matthias Samwald
·
Journal of Biomedical Informatics
·
16
PDF
Frequent Itemsets as Meaningful Events in Graphs for Summarizing Biomedical Texts
2018
·
Milad Moradi
·
International Conference on Computer and Knowledge Engineering
·
16
Deep Learning, Natural Language Processing, and Explainable Artificial Intelligence in the Biomedical Domain
2022
·
Moradi, Milad
, Samwald, Matthias
·
arXiv (Cornell University)
·
9
PDF
Text Summarization in the Biomedical Domain
2019
·
Moradi, Milad
, Ghadiri, Nasser
·
arXiv (Cornell University)
·
7
PDF
Clustering of Deep Contextualized Representations for Summarization of Biomedical Texts
2019
·
Moradi, Milad
, Samwald, Matthias
·
arXiv (Cornell University)
·
6
PDF
A hybrid deep learning approach for phenotype prediction from clinical notes
2023
·
Sahar Khalafi
, Nasser Ghadiri
, et al.
·
Journal of Ambient Intelligence and Humanized Computing
·
5
PDF
Small-world networks for summarization of biomedical articles
2019
·
Moradi, Milad
·
arXiv (Cornell University)
·
5
PDF
Artificial intelligence for context-aware visual change detection in software test automation
2025
·
Milad Moradi
, Ke Yan
, et al.
·
Progress in Artificial Intelligence
·
4
PDF
Deep learning models are not robust against noise in clinical text
2021
·
Moradi, Milad
, Blagec, Kathrin
, et al.
·
arXiv (Cornell University)
·
4
PDF
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Works count:
38
Citation count:
879
H-index:
16
I10-index:
18
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