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Maryam Amir Haeri
Person information
- affiliation: TU Kaiserslautern, Germany
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2020 – today
- 2024
- [j10]Ana Maria Amaro de Sousa, Michel J. A. M. van Putten, Stéphanie M. van den Berg, Maryam Amir Haeri:
Detection of Interictal epileptiform discharges with semi-supervised deep learning. Biomed. Signal Process. Control. 88(Part B): 105610 (2024) - 2023
- [c7]Radin Hamidi Rad, Hossein ZareMehrjerdi, Yasaman Mirmohammad, Mohammad Navid Shahsavari, Maryam Amir Haeri:
Recommendation System over Multi-layer Complex Networks: A Wide and Deep Graph Convolutional Neural Network Approach. IntelliSys (2) 2023: 447-460 - 2022
- [j9]Amir Aradnia, Maryam Amir Haeri, Mohammad Mehdi Ebadzadeh:
Adaptive Explicit Kernel Minkowski Weighted K-means. Inf. Sci. 584: 503-518 (2022) - 2021
- [j8]Marc P. Hauer, Johannes Kevekordes, Maryam Amir Haeri:
Legal perspective on possible fairness measures - A legal discussion using the example of hiring decisions. Comput. Law Secur. Rev. 42: 105583 (2021) - [j7]Sayyed-Ahmad Naghavi-Nozad, Maryam Amir Haeri, Gianluigi Folino:
SDCOR: Scalable density-based clustering for local outlier detection in massive-scale datasets. Knowl. Based Syst. 228: 107256 (2021) - [c6]Majid Soheili, Maryam Amir Haeri:
Scalable Global Mutual Information Based Feature Selection Framework for Large Scale Datasets. EDOC 2021: 41-50 - [c5]Parsa Kavehzadeh, Mohammadreza Samadi, Maryam Amir Haeri:
Unsupervised Anomaly Detection on Node Attributed Networks: A Deep Learning Approach. ICISS 2021: 35-40 - [c4]Majid Soheili, Maryam Amir Haeri:
Distributed Ensemble Feature Selection Framework for High-Dimensional and High-Skewed Imbalanced Big Dataset. SSCI 2021: 1-8 - [i7]Marc P. Hauer, Johannes Kevekordes, Maryam Amir Haeri:
Legal perspective on possible fairness measures - A legal discussion using the example of hiring decisions (preprint). CoRR abs/2108.06918 (2021) - 2020
- [j6]Seyed Mohammad Hossein Hosseini Amini, Mohammad Abdollahi, Maryam Amir Haeri:
Rule-centred genetic programming (RCGP): an imperialist competitive approach. Appl. Intell. 50(8): 2589-2609 (2020) - [c3]Maryam Amir Haeri, Katharina Anna Zweig:
The Crucial Role of Sensitive Attributes in Fair Classification. SSCI 2020: 2993-3002 - [i6]Sayyed-Ahmad Naghavi-Nozad, Maryam Amir Haeri, Gianluigi Folino:
SDCOR: Scalable Density-based Clustering for Local Outlier Detection in Massive-Scale Datasets. CoRR abs/2006.07616 (2020) - [i5]Seyed Amin Fadaee, Maryam Amir Haeri:
Multi-Label Classification Using Link Prediction. CoRR abs/2011.05476 (2020) - [i4]Amir Aradnia, Maryam Amir Haeri, Mohammad Mehdi Ebadzadeh:
Adaptive Explicit Kernel Minkowski Weighted K-means. CoRR abs/2012.02805 (2020)
2010 – 2019
- 2019
- [j5]Seyed Amin Fadaee, Maryam Amir Haeri:
Classification using link prediction. Neurocomputing 359: 395-407 (2019) - [c2]Gianluigi Folino, Francesco Sergio Pisani, Luigi Pontieri, Pietro Sabatino, Maryam Amir Haeri:
Using genetic programming for combining an ensemble of local and global outlier algorithms to detect new attacks. GECCO (Companion) 2019: 167-168 - [r1]Gianluigi Folino, Massimo Guarascio, Maryam Amir Haeri:
Deep Learning on Big Data. Encyclopedia of Big Data Technologies 2019 - [i3]Radin Hamidi Rad, Maryam Amir Haeri:
Hybrid Forest: A Concept Drift Aware Data Stream Mining Algorithm. CoRR abs/1902.03609 (2019) - 2018
- [j4]Esmaeel Radkani, Sattar Hashemi, Alireza Keshavarz-Haddad, Maryam Amir Haeri:
An entropy-based distance measure for analyzing and detecting metamorphic malware. Appl. Intell. 48(6): 1536-1546 (2018) - [i2]Seyed Amin Fadaee, Maryam Amir Haeri:
Classification Using Link Prediction. CoRR abs/1810.00717 (2018) - [i1]Maliheh Goliforoushani, Radin Hamidi Rad, Maryam Amir Haeri:
A Fuzzy Community-Based Recommender System Using PageRank. CoRR abs/1812.09380 (2018) - 2017
- [j3]Maryam Amir Haeri, Mohammad Mehdi Ebadzadeh, Gianluigi Folino:
Statistical genetic programming for symbolic regression. Appl. Soft Comput. 60: 447-469 (2017) - 2016
- [c1]Amir Khoshkbarchi, Ali Kamali, Mehdi Amjadi, Maryam Amir Haeri:
A modified hybrid Fuzzy clustering method for big data. IST 2016: 196-201 - 2015
- [j2]Maryam Amir Haeri, Mohammad Mehdi Ebadzadeh, Gianluigi Folino:
Improving GP generalization: a variance-based layered learning approach. Genet. Program. Evolvable Mach. 16(1): 27-55 (2015) - 2014
- [j1]Maryam Amir Haeri, Mohammad Mehdi Ebadzadeh:
Estimation of mutual information by the fuzzy histogram. Fuzzy Optim. Decis. Mak. 13(3): 287-318 (2014)
Coauthor Index
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last updated on 2024-10-25 20:13 CEST by the dblp team
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