Maryam Khanian Najafabadi

17 papers B 1Journal 13Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
A survey and illustrative example of hybrid semantic and contextual models for improving diversity and accuracy in personalized tag recommendation.
Comput. Sci. Rev.
Maryam Khanian Najafabadi, Jiayi Chen, Saman Shojae Chaeikar, Javad Rezazadeh
2025 J jnl
An innovative data-driven AI approach for detecting and isolating faults in gas turbines at power plants.
Expert Syst. Appl.
Mohammad Hussein Amiri, Nastaran Mehrabi Hashjin, Maryam Khanian Najafabadi, Amin Beheshti, Nima Khodadadi
2025 J jnl
Enhancing Facial Recognition and Expression Analysis With Unified Zero-Shot and Deep Learning Techniques.
IEEE Access
Sasan Karamizadeh, Saman Shojae Chaeikar, Maryam Khanian Najafabadi
2025 J jnl
From theory to practice: The evolution and comparative analysis of homogeneous vs. heterogeneous Graph Neural Networks in recommender systems.
Neurocomputing
Maryam Khanian Najafabadi, Rei-An Chen, Javad Rezazadeh, Amin Beheshti, Nasrin Shabani
2025 — conf
Learning from Uncertainty: A Cloud-Based Active Learning for Detecting Bone Union in Mandibular Reconstruction.
ICDM (Workshops)
MohammadHossein Ahmadi, Amin Beheshti, Yuankai Qi, Sam Mokhtari, Maryam Khanian Najafabadi, Masako Dunn, Jonathan R. Clark
2025 J jnl
Q2HO-MFTV: A binary hippopotamus optimization algorithm for feature selection with a brief review of binary optimization.
Knowl. Based Syst.
Nastaran Mehrabi Hashjin, Mohammad Hussein Amiri, Amin Beheshti, Maryam Khanian Najafabadi
2024 J jnl
Attention-Based Graph Summarization for Large-Scale Information Retrieval.
IEEE Trans. Consumer Electron.
Nasrin Shabani, Amin Beheshti, Alireza Jolfaei, Jia Wu, Venus Haghighi, Maryam Khanian Najafabadi, Jin Foo
2024 B conf
GraphSUM: Scalable Graph Summarization for Efficient Question Answering.
EDBT
Nasrin Shabani, Amin Beheshti, Jia Wu, Maryam Khanian Najafabadi, Jin Foo, Alireza Jolfaei
2024 J jnl
Sentiment analysis incorporating convolutional neural network into hidden Markov model.
Comput. Intell.
Maryam Khanian Najafabadi
2023 — conf
Aspect Level Sentiment Analysis with CNN Bi-LSTM and Attention Mechanism.
BCD
Jionghui Lin, Maryam Khanian Najafabadi
2021 J jnl
An Effective Collaborative User Model Using Hybrid Clustering Recommendation Methods.
Ingénierie des Systèmes d Inf.
Maryam Khanian Najafabadi, Azlinah Mohamed, Madhavan A/l Balan Nair, Sayed Mojtaba Tabibian
2020 J jnl
The state of the art and taxonomy of big data analytics: view from new big data framework.
Artif. Intell. Rev.
Azlinah Mohamed, Maryam Khanian Najafabadi, Bee Wah Yap, Ezzatul Akmal Kamaru-Zaman, Ruhaila Maskat
2019 J jnl
A survey on data mining techniques in recommender systems.
Soft Comput.
Maryam Khanian Najafabadi, Azlinah Hj. Mohamed, Mohd Naz'ri Mahrin
2019 J jnl
An impact of time and item influencer in collaborative filtering recommendations using graph-based model.
Inf. Process. Manag.
Maryam Khanian Najafabadi, Azlinah Hj. Mohamed, Wou Onn Choo
2018 — conf
Incremental Software Development Model for Solving Exam Scheduling Problems.
SCDS
Maryam Khanian Najafabadi, Azlinah Mohamed
2017 J jnl
Improving the accuracy of collaborative filtering recommendations using clustering and association rules mining on implicit data.
Comput. Hum. Behav.
Maryam Khanian Najafabadi, Mohd Naz'ri Mahrin, Suriayati Chuprat, Haslina Md Sarkan
2016 J jnl
A systematic literature review on the state of research and practice of collaborative filtering technique and implicit feedback.
Artif. Intell. Rev.
Maryam Khanian Najafabadi, Mohd Naz'ri Mahrin