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 | 91 | 2014 |
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 | 41 | 2013 |
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 | 36 | 2012 |
Modeling recurring concepts in data streams: a graph-based framework Z Ahmadi, S Kramer Knowledge and Information Systems 55, 15-44, 2018 | 31 | 2018 |
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 | 28 | 2018 |
A label compression method for online multi-label classification Z Ahmadi, S Kramer Pattern Recognition Letters 111, 64-71, 2018 | 24 | 2018 |
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 | 20 | 2022 |
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 | 17 | 2012 |
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 | 17 | 2011 |
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 | 9 | 2021 |
MANDO-GURU: vulnerability detection for smart contract source code by heterogeneous graph embeddings HH Nguyen, NM Nguyen, HP Doan, Z Ahmadi, TN Doan, L Jiang Proceedings of the 30th ACM Joint European Software Engineering Conference …, 2022 | 7 | 2022 |
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 | 7 | 2022 |
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 | 7 | 2021 |
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 | 6 | 2022 |
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 | 6 | 2021 |
Inductive and transductive link prediction for criminal network analysis Z Ahmadi, HH Nguyen, Z Zhang, D Bozhkov, D Kudenko, M Jofre, ... Journal of Computational Science 72, 102063, 2023 | 4 | 2023 |
Flames2graph: An interpretable federated multivariate time series classification framework R Younis, Z Ahmadi, A Hakmeh, M Fisichella Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | 4 | 2023 |
Modeling multi-label recurrence in data streams Z Ahmadi, S Kramer 2019 IEEE International Conference on Big Knowledge (ICBK), 9-16, 2019 | 4 | 2019 |
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 | 4 | 2018 |
Mando-hgt: Heterogeneous graph transformers for smart contract vulnerability detection HH Nguyen, NM Nguyen, C Xie, Z Ahmadi, D Kudendo, TN Doan, L Jiang 2023 IEEE/ACM 20th International Conference on Mining Software Repositories …, 2023 | 3 | 2023 |