| 2026 | CaiSE | Interactive Context-Aware Navigation of Process Models. | Zahra Ahmadi |
| 2025 | ICASSP | ASCDomain: Domain Invariant Device-Adversarial Isotropic Knowledge Distillation Convolutional Neural Architecture. | Hubert Truchan, Tien Hung Ngo, Zahra Ahmadi |
| 2025 | NAACL | OpenReviewer: A Specialized Large Language Model for Generating Critical Scientific Paper Reviews. | Maximilian Idahl, Zahra Ahmadi |
| 2025 | WSDM | Using Photon-Counting CT Images for Lung Nodule Classification. | Leonie Basso, Zahra Ahmadi, Steffen Oeltze-Jafra, Eike Petersen, Hoen-oh Shin, Andrea Schenk |
| 2024 | BPM | LLM-Based Event Abstraction and Integration for IoT-Sourced Logs. | Mohsen Shirali, Mohammadreza Fani Sani, Zahra Ahmadi, Estefana Serral |
| 2024 | CIKM | Effectively Capturing Label Correlation for Tabular Multi-Label Classification. | Sajjad Kamali Siahroudi, Zahra Ahmadi, Daniel Kudenko |
| 2024 | CIKM | LTBoost: Boosted Hybrids of Ensemble Linear and Gradient Algorithms for the Long-term Time Series Forecasting. | Hubert Truchan, Christian Kalfar, Zahra Ahmadi |
| 2024 | ECAI | Entity Matching Across Small Networks Using Node Attributes. | Zahra Ahmadi, Zijian Zhang, Hoang H. Nguyen, Sergio Burdisso, Srikanth R. Madikeri, Petr Motlcek, Erin Dikici, Gerhard Backfried, Marek Kovc, Kvetoslav Mal, Daniel Kudenko |
| 2024 | ICDM | HyperTime: A Dynamic Hypergraph Approach for Time Series Classification. | Raneen Younis, Zahra Ahmadi |
| 2023 | ICONIP | Multimodal Isotropic Neural Architecture with Patch Embedding. | Hubert Truchan, Evgenii Naumov, Rezaul Abedin, Gregory Palmer, Zahra Ahmadi |
| 2023 | ICPM | Analysing the Foraging Behaviour of Bees Using Process Mining: A Case Study. | Zahra Ahmadi, Yannis Bertrand, Mara Isabel Pozo Romero, Estefana Serral |
| 2023 | ICPM | Identifying Variation in Personal Daily Routine Through Process Mining: A Case Study. | Gemma Di Federico, Carlos Fernndez-Llatas, Zahra Ahmadi, Mohsen Shirali, Andrea Burattin |
| 2023 | KDD | FLAMES2Graph: An Interpretable Federated Multivariate Time Series Classification Framework. | Raneen Younis, Zahra Ahmadi, Abdul Hakmeh, Marco Fisichella |
| 2023 | MSR | MANDO-HGT: Heterogeneous Graph Transformers for Smart Contract Vulnerability Detection. | Hoang H. Nguyen, Nhat-Minh Nguyen, Chunyao Xie, Zahra Ahmadi, Daniel Kudendo, Thanh-Nam Doan, Lingxiao Jiang |
| 2022 | DSAA | MANDO: Multi-Level Heterogeneous Graph Embeddings for Fine-Grained Detection of Smart Contract Vulnerabilities. | Hoang H. Nguyen, Nhat-Minh Nguyen, Chunyao Xie, Zahra Ahmadi, Daniel Kudendo, Thanh-Nam Doan, Lingxiao Jiang |
| 2022 | DSAA | Multivariate Time Series Analysis: An Interpretable CNN-based Model. | Raneen Younis, Sergej Zerr, Zahra Ahmadi |
| 2022 | SIGIR | SoChainDB: A Database for Storing and Retrieving Blockchain-Powered Social Network Data. | Hoang H. Nguyen, Dmytro Bozhkov, Zahra Ahmadi, Nhat-Minh Nguyen, Thanh-Nam Doan |
| 2018 | DSAA | Towards Bankruptcy Prediction: Deep Sentiment Mining to Detect Financial Distress from Business Management Reports. | Zahra Ahmadi, Peter Martens, Christopher Koch, Thomas Gottron, Stefan Kramer |
| 2018 | DSAA | Forest of Normalized Trees: Fast and Accurate Density Estimation of Streaming Data. | Patrick Rehn, Zahra Ahmadi, Stefan Kramer |
| 2017 | DIS | An In-Depth Experimental Comparison of RNTNs and CNNs for Sentence Modeling. | Zahra Ahmadi, Marcin Skowron, Aleksandrs Stier, Stefan Kramer |
| 2014 | ECAI | Constrained Latent Dirichlet Allocation for Subgroup Discovery with Topic Rules. | Rui Li, Zahra Ahmadi, Stefan Kramer |
| 2014 | KDD | Prototype-based learning on concept-drifting data streams. | Junming Shao, Zahra Ahmadi, Stefan Kramer |
| 2012 | DaWaK | New Management Operations on Classifiers Pool to Track Recurring Concepts. | Mohammad Javad Hosseini, Zahra Ahmadi, Hamid Beigy |
| 2012 | HAIS | Semi-supervised Ensemble Learning of Data Streams in the Presence of Concept Drift. | Zahra Ahmadi, Hamid Beigy |
| 2011 | ICDM | Pool and Accuracy Based Stream Classification: A New Ensemble Algorithm on Data Stream Classification Using Recurring Concepts Detection. | Mohammad Javad Hosseini, Zahra Ahmadi, Hamid Beigy |