Zahra Ahmadi

Orcid: 0000-0003-1110-4756

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


According to our database1, Zahra Ahmadi authored at least 35 papers between 2011 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Bibliography

2024
Synergy of Information in Multimodal IoT Systems - Discovering the impact of daily behaviour routines on physical activity level.
CoRR, 2024

2023
Inductive and transductive link prediction for criminal network analysis.
J. Comput. Sci., September, 2023

The effect of leadership and organisational culture on organisational innovation.
Int. J. Serv. Technol. Manag., 2023

MTS2Graph: Interpretable Multivariate Time Series Classification with Temporal Evolving Graphs.
CoRR, 2023

MANDO-HGT: Heterogeneous Graph Transformers for Smart Contract Vulnerability Detection.
Proceedings of the 20th IEEE/ACM International Conference on Mining Software Repositories, 2023

FLAMES2Graph: An Interpretable Federated Multivariate Time Series Classification Framework.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Identifying Variation in Personal Daily Routine Through Process Mining: A Case Study.
Proceedings of the Process Mining Workshops, 2023

Analysing the Foraging Behaviour of Bees Using Process Mining: A Case Study.
Proceedings of the Process Mining Workshops, 2023

Multimodal Isotropic Neural Architecture with Patch Embedding.
Proceedings of the Neural Information Processing - 30th International Conference, 2023

2022
A fuzzy logic-based approach for fuzzy queries over NoSQL graph database.
Concurr. Comput. Pract. Exp., 2022

MANDO-GURU: vulnerability detection for smart contract source code by heterogeneous graph embeddings.
Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2022

SoChainDB: A Database for Storing and Retrieving Blockchain-Powered Social Network Data.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Multivariate Time Series Analysis: An Interpretable CNN-based Model.
Proceedings of the 9th IEEE International Conference on Data Science and Advanced Analytics, 2022

MANDO: Multi-Level Heterogeneous Graph Embeddings for Fine-Grained Detection of Smart Contract Vulnerabilities.
Proceedings of the 9th IEEE International Conference on Data Science and Advanced Analytics, 2022

2021
Fog-based healthcare systems: A systematic review.
Multim. Tools Appl., 2021

Rule Extraction From Binary Neural Networks With Convolutional Rules for Model Validation.
Frontiers Artif. Intell., 2021

Focusing Knowledge-based Graph Argument Mining via Topic Modeling.
CoRR, 2021

On the Impact of Dataset Size: A Twitter Classification Case Study.
Proceedings of the WI-IAT '21: IEEE/WIC/ACM International Conference on Web Intelligence, Melbourne VIC Australia, December 14, 2021

Topic-Guided Knowledge Graph Construction for Argument Mining.
Proceedings of the 2021 IEEE International Conference on Big Knowledge, 2021

2020
Modeling Recurring Concepts in Single-label and Multi-label Streams.
PhD thesis, 2020

2019
Modeling Multi-label Recurrence in Data Streams.
Proceedings of the 2019 IEEE International Conference on Big Knowledge, 2019

2018
A label compression method for online multi-label classification.
Pattern Recognit. Lett., 2018

Modeling recurring concepts in data streams: a graph-based framework.
Knowl. Inf. Syst., 2018

Online Multi-Label Classification: A Label Compression Method.
CoRR, 2018

Privacy Preserving Client/Vertical-Servers Classification.
Proceedings of the ECML PKDD 2018 Workshops, 2018

Forest of Normalized Trees: Fast and Accurate Density Estimation of Streaming Data.
Proceedings of the 5th IEEE International Conference on Data Science and Advanced Analytics, 2018

Towards Bankruptcy Prediction: Deep Sentiment Mining to Detect Financial Distress from Business Management Reports.
Proceedings of the 5th IEEE International Conference on Data Science and Advanced Analytics, 2018

2017
To Parse or Not to Parse: An Experimental Comparison of RNTNs and CNNs for Sentiment Analysis.
Proceedings of the 3rd International Workshop at ESWC on Emotions, 2017

An In-Depth Experimental Comparison of RNTNs and CNNs for Sentence Modeling.
Proceedings of the Discovery Science - 20th International Conference, 2017

2014
Prototype-based learning on concept-drifting data streams.
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

Constrained Latent Dirichlet Allocation for Subgroup Discovery with Topic Rules.
Proceedings of the ECAI 2014 - 21st European Conference on Artificial Intelligence, 18-22 August 2014, Prague, Czech Republic, 2014

2013
Using a classifier pool in accuracy based tracking of recurring concepts in data stream classification.
Evol. Syst., 2013

2012
Semi-supervised Ensemble Learning of Data Streams in the Presence of Concept Drift.
Proceedings of the Hybrid Artificial Intelligent Systems - 7th International Conference, 2012

New Management Operations on Classifiers Pool to Track Recurring Concepts.
Proceedings of the Data Warehousing and Knowledge Discovery, 2012

2011
Pool and Accuracy Based Stream Classification: A New Ensemble Algorithm on Data Stream Classification Using Recurring Concepts Detection.
Proceedings of the Data Mining Workshops (ICDMW), 2011


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