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Zahra Ahmadi

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affiliation: Johannes Gutenberg University of Mainz, Institute of Computer Science, Germany
affiliation: Sharif University of Technology, Department of Computer Engineering, Tehran, Iran

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Books and Theses

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2020
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Zahra Ahmadi:
Modeling Recurring Concepts in Single-label and Multi-label Streams. University of Mainz, Germany, 2020

Journal Articles

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2024
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Raneen Younis, Abdul Hakmeh, Zahra Ahmadi:
MTS2Graph: Interpretable multivariate time series classification with temporal evolving graphs. Pattern Recognit. 152: 110486 (2024)
2023
[j8]
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Ruzlin Akter, Shashiprabha Rathnayaka, Zahra Ahmadi:
The effect of leadership and organisational culture on organisational innovation. Int. J. Serv. Technol. Manag. 28(5/6): 360-388 (2023)
[j7]
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Zahra Ahmadi, Hoang H. Nguyen, Zijian Zhang, Dmytro Bozhkov, Daniel Kudenko, Maria Jofre, Francesco Calderoni, Noa Cohen, Yosef Solewicz:
Inductive and transductive link prediction for criminal network analysis. J. Comput. Sci. 72: 102063 (2023)
2022
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Zahra Ahmadi, Fereshteh-Azadi Parand, Farzam Matinfar:
A fuzzy logic-based approach for fuzzy queries over NoSQL graph database. Concurr. Comput. Pract. Exp. 34(1) (2022)
2021
[j5]
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Sophie Burkhardt, Jannis Brugger, Nicolas Wagner, Zahra Ahmadi, Kristian Kersting, Stefan Kramer:
Rule Extraction From Binary Neural Networks With Convolutional Rules for Model Validation. Frontiers Artif. Intell. 4: 642263 (2021)
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Zahra Ahmadi, Mostafa Haghi Kashani, Mohammad Nikravan, Ebrahim Mahdipour:
Fog-based healthcare systems: A systematic review. Multim. Tools Appl. 80(30): 36361-36400 (2021)
2018
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Zahra Ahmadi, Stefan Kramer:
Modeling recurring concepts in data streams: a graph-based framework. Knowl. Inf. Syst. 55(1): 15-44 (2018)
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Zahra Ahmadi, Stefan Kramer:
A label compression method for online multi-label classification. Pattern Recognit. Lett. 111: 64-71 (2018)
2013
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Mohammad Javad Hosseini, Zahra Ahmadi, Hamid Beigy:
Using a classifier pool in accuracy based tracking of recurring concepts in data stream classification. Evol. Syst. 4(1): 43-60 (2013)

Conference and Workshop Papers

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2024
[c24]
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Zahra Ahmadi, Jochen De Weerdt, Estefanía Serral Asensio:
A Novel Contextualization Method for Process Discovery Using Activity Specialization Hierarchies. BPMDS/EMMSAD@CAiSE 2024: 143-155
2023
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Hubert Truchan, Evgenii Naumov, Rezaul Abedin, Gregory Palmer, Zahra Ahmadi:
Multimodal Isotropic Neural Architecture with Patch Embedding. ICONIP (1) 2023: 173-187
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Zahra Ahmadi, Yannis Bertrand, María Isabel Pozo Romero, Estefanía Serral:
Analysing the Foraging Behaviour of Bees Using Process Mining: A Case Study. ICPM Workshops 2023: 5-18
[c21]
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Gemma Di Federico, Carlos Fernández-Llatas, Zahra Ahmadi, Mohsen Shirali, Andrea Burattin:
Identifying Variation in Personal Daily Routine Through Process Mining: A Case Study. ICPM Workshops 2023: 223-234
[c20]
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Raneen Younis, Zahra Ahmadi, Abdul Hakmeh, Marco Fisichella:
FLAMES2Graph: An Interpretable Federated Multivariate Time Series Classification Framework. KDD 2023: 3140-3150
[c19]
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Hoang H. Nguyen, Nhat-Minh Nguyen, Chunyao Xie, Zahra Ahmadi, Daniel Kudendo, Thanh-Nam Doan, Lingxiao Jiang:
MANDO-HGT: Heterogeneous Graph Transformers for Smart Contract Vulnerability Detection. MSR 2023: 334-346
2022
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Hoang H. Nguyen, Nhat-Minh Nguyen, Chunyao Xie, Zahra Ahmadi, Daniel Kudendo, Thanh-Nam Doan, Lingxiao Jiang:
MANDO: Multi-Level Heterogeneous Graph Embeddings for Fine-Grained Detection of Smart Contract Vulnerabilities. DSAA 2022: 1-10
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Raneen Younis, Sergej Zerr, Zahra Ahmadi:
Multivariate Time Series Analysis: An Interpretable CNN-based Model. DSAA 2022: 1-10
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Hoang H. Nguyen, Dmytro Bozhkov, Zahra Ahmadi, Nhat-Minh Nguyen, Thanh-Nam Doan:
SoChainDB: A Database for Storing and Retrieving Blockchain-Powered Social Network Data. SIGIR 2022: 3036-3045
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Hoang H. Nguyen, Nhat-Minh Nguyen, Hong-Phuc Doan, Zahra Ahmadi, Thanh-Nam Doan, Lingxiao Jiang:
MANDO-GURU: vulnerability detection for smart contract source code by heterogeneous graph embeddings. ESEC/SIGSOFT FSE 2022: 1736-1740
2021
[c14]
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  - conf/icbk/LiAABSG021
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Weichen Li, Patrick Abels, Zahra Ahmadi, Sophie Burkhardt, Benjamin Schiller, Iryna Gurevych, Stefan Kramer:
Topic-Guided Knowledge Graph Construction for Argument Mining. ICBK 2021: 315-322
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Thi-Huyen Nguyen, Hoang H. Nguyen, Zahra Ahmadi, Tuan-Anh Hoang, Thanh-Nam Doan:
On the Impact of Dataset Size: A Twitter Classification Case Study. WI/IAT 2021: 210-217
2019
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Zahra Ahmadi, Stefan Kramer:
Modeling Multi-label Recurrence in Data Streams. ICBK 2019: 9-16
2018
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Patrick Rehn, Zahra Ahmadi, Stefan Kramer:
Forest of Normalized Trees: Fast and Accurate Density Estimation of Streaming Data. DSAA 2018: 199-208
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Zahra Ahmadi, Peter Martens, Christopher Koch, Thomas Gottron, Stefan Kramer:
Towards Bankruptcy Prediction: Deep Sentiment Mining to Detect Financial Distress from Business Management Reports. DSAA 2018: 293-302
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Derian Boer, Zahra Ahmadi, Stefan Kramer:
Privacy Preserving Client/Vertical-Servers Classification. MIDAS/PAP@PKDD/ECML 2018: 125-140
2017
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Zahra Ahmadi, Marcin Skowron, Aleksandrs Stier, Stefan Kramer:
An In-Depth Experimental Comparison of RNTNs and CNNs for Sentence Modeling. DS 2017: 144-152
[c7]
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Zahra Ahmadi, Aleksandrs Stier, Marcin Skowron, Stefan Kramer:
To Parse or Not to Parse: An Experimental Comparison of RNTNs and CNNs for Sentiment Analysis. EMSASW@ESWC 2017
2014
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Rui Li, Zahra Ahmadi, Stefan Kramer:
Constrained Latent Dirichlet Allocation for Subgroup Discovery with Topic Rules. ECAI 2014: 519-524
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Junming Shao, Zahra Ahmadi, Stefan Kramer:
Prototype-based learning on concept-drifting data streams. KDD 2014: 412-421
2013
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Mohammad Javad Hosseini, Zahra Ahmadi, Hamid Beigy:
Using a Classifier Pool in Accuracy Based Tracking of Recurring Concepts in Data Stream Classification. LWA 2013: 90-97
2012
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Mohammad Javad Hosseini, Zahra Ahmadi, Hamid Beigy:
New Management Operations on Classifiers Pool to Track Recurring Concepts. DaWaK 2012: 327-339
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Zahra Ahmadi, Hamid Beigy:
Semi-supervised Ensemble Learning of Data Streams in the Presence of Concept Drift. HAIS (2) 2012: 526-537
2011
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Mohammad Javad Hosseini, Zahra Ahmadi, Hamid Beigy:
Pool and Accuracy Based Stream Classification: A New Ensemble Algorithm on Data Stream Classification Using Recurring Concepts Detection. ICDM Workshops 2011: 588-595

Informal and Other Publications

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2024
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  - journals/corr/abs-2403-14707
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Mohsen Shirali, Zahra Ahmadi, Carlos Fernández-Llatas, Jose-Luis Bayo-Monton:
Synergy of Information in Multimodal IoT Systems - Discovering the impact of daily behaviour routines on physical activity level. CoRR abs/2403.14707 (2024)
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Mohsen Shirali, Zahra Ahmadi, Carlos Fernández-Llatas, Jose-Luis Bayo-Monton, Gemma Di Federico:
A process mining-based error correction approach to improve data quality of an IoT-sourced event log. CoRR abs/2404.13091 (2024)
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Ali Rasekh, Reza Heidari, Amir Hosein Haji Mohammad Rezaie, Parsa Sharifi Sedeh, Zahra Ahmadi, Prasenjit Mitra, Wolfgang Nejdl:
Towards Precision Healthcare: Robust Fusion of Time Series and Image Data. CoRR abs/2405.15442 (2024)
2023
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  - journals/corr/abs-2306-03834
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Raneen Younis, Abdul Hakmeh, Zahra Ahmadi:
MTS2Graph: Interpretable Multivariate Time Series Classification with Temporal Evolving Graphs. CoRR abs/2306.03834 (2023)
2022
[i4]
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  - journals/corr/abs-2208-13252
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Hoang H. Nguyen, Nhat-Minh Nguyen, Chunyao Xie, Zahra Ahmadi, Daniel Kudendo, Thanh-Nam Doan, Lingxiao Jiang:
MANDO: Multi-Level Heterogeneous Graph Embeddings for Fine-Grained Detection of Smart Contract Vulnerabilities. CoRR abs/2208.13252 (2022)
2021
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  - journals/corr/abs-2102-02086
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Patrick Abels, Zahra Ahmadi, Sophie Burkhardt, Benjamin Schiller, Iryna Gurevych, Stefan Kramer:
Focusing Knowledge-based Graph Argument Mining via Topic Modeling. CoRR abs/2102.02086 (2021)
2020
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  - journals/corr/abs-2012-08459
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Sophie Burkhardt, Jannis Brugger, Nicolas Wagner, Zahra Ahmadi, Kristian Kersting, Stefan Kramer:
Rule Extraction from Binary Neural Networks with Convolutional Rules for Model Validation. CoRR abs/2012.08459 (2020)
2018
[i1]
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  - journals/corr/abs-1804-01491
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Zahra Ahmadi, Stefan Kramer:
Online Multi-Label Classification: A Label Compression Method. CoRR abs/1804.01491 (2018)

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