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Zahra Ahmadi
Zahra Ahmadi
Research Fellow, L3S Research Center, Leibniz Hannover University
Verified email at l3s.de - Homepage
Title
Cited by
Cited by
Year
Prototype-based learning on concept-drifting data streams
J Shao, Z Ahmadi, S Kramer
Proceedings of the 20th ACM SIGKDD international conference on Knowledge …, 2014
852014
Using a classifier pool in accuracy based tracking of recurring concepts in data stream classification
MJ Hosseini, Z Ahmadi, H Beigy
Evolving Systems 4, 43-60, 2013
412013
Semi-supervised ensemble learning of data streams in the presence of concept drift
Z Ahmadi, H Beigy
Hybrid Artificial Intelligent Systems: 7th International Conference, HAIS …, 2012
322012
Modeling recurring concepts in data streams: a graph-based framework
Z Ahmadi, S Kramer
Knowledge and Information Systems 55, 15-44, 2018
302018
A label compression method for online multi-label classification
Z Ahmadi, S Kramer
Pattern Recognition Letters 111, 64-71, 2018
232018
Towards bankruptcy prediction: Deep sentiment mining to detect financial distress from business management reports
Z Ahmadi, P Martens, C Koch, T Gottron, S Kramer
2018 IEEE 5th International Conference on Data Science and Advanced …, 2018
222018
New management operations on classifiers pool to track recurring concepts
MJ Hosseini, Z Ahmadi, H Beigy
Data Warehousing and Knowledge Discovery: 14th International Conference …, 2012
182012
Pool and accuracy based stream classification: a new ensemble algorithm on data stream classification using recurring concepts detection
MJ Hosseini, Z Ahmadi, H Beigy
2011 IEEE 11th international conference on data mining workshops, 588-595, 2011
182011
Mando: Multi-level heterogeneous graph embeddings for fine-grained detection of smart contract vulnerabilities
HH Nguyen, NM Nguyen, C Xie, Z Ahmadi, D Kudendo, TN Doan, L Jiang
2022 IEEE 9th International Conference on Data Science and Advanced …, 2022
112022
Rule extraction from binary neural networks with convolutional rules for model validation
S Burkhardt, J Brugger, N Wagner, Z Ahmadi, K Kersting, S Kramer
Frontiers in artificial intelligence 4, 642263, 2021
72021
Topic-guided knowledge graph construction for argument mining
W Li, P Abels, Z Ahmadi, S Burkhardt, B Schiller, I Gurevych, S Kramer
2021 IEEE International Conference on Big Knowledge (ICBK), 315-322, 2021
52021
Multivariate Time Series Analysis: An Interpretable CNN-based Model
R Younis, S Zerr, Z Ahmadi
2022 IEEE 9th International Conference on Data Science and Advanced …, 2022
42022
SoChainDB: A database for storing and retrieving blockchain-powered social network data
HH Nguyen, D Bozhkov, Z Ahmadi, NM Nguyen, TN Doan
Proceedings of the 45th International ACM SIGIR Conference on Research and …, 2022
42022
Focusing knowledge-based graph argument mining via topic modeling
P Abels, Z Ahmadi, S Burkhardt, B Schiller, I Gurevych, S Kramer
arXiv preprint arXiv:2102.02086, 2021
42021
Modeling multi-label recurrence in data streams
Z Ahmadi, S Kramer
2019 IEEE International Conference on Big Knowledge (ICBK), 9-16, 2019
32019
Online Multi-Label Classification: A Label Compression Method
Z Ahmadi, S Kramer
arXiv preprint arXiv:1804.01491, 2018
32018
Privacy preserving client/vertical-servers classification
D Boer, Z Ahmadi, S Kramer
ECML PKDD 2018 Workshops: MIDAS 2018 and PAP 2018, Dublin, Ireland …, 2019
22019
Forest of normalized trees: fast and accurate density estimation of streaming data
P Rehn, Z Ahmadi, S Kramer
2018 IEEE 5th International Conference on Data Science and Advanced …, 2018
22018
Online Topic Modeling: Keeping Track of News Topics for Social Good
Z Ahmadi, S Burkhardt, S Kramer
22017
MANDO-HGT: Heterogeneous Graph Transformers for Smart Contract Vulnerability Detection
HH Nguyen, NM Nguyen, C Xie, Z Ahmadi, D Kudendo, TN Doan, L Jiang
Proc. ACM MSR, 2023
12023
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