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Anna Leontjeva

Observed names: A. Leontjeva, Leontjeva, Anna
ORCID: 0000-0002-4098-3553
Observed ORCID: 0000-0002-4098-3553
OpenAlex ID: A5016341909
Complex Symbolic Sequence Encodings for Predictive Monitoring of Business Processes
2015 · Anna Leontjeva, Raffaele Conforti, et al. · Lecture notes in computer science · 198
Temporal stability in predictive process monitoring
2018 · Irene Teinemaa, Marlon Dumas, et al. · Data Mining and Knowledge Discovery · 63
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HENA, heterogeneous network-based data set for Alzheimer’s disease
2019 · Elena Sügis, Jerome Dauvillier, et al. · Scientific Data · 50
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Combining Static and Dynamic Features for Multivariate Sequence Classification
2016 · Anna Leontjeva, Ilya Kuzovkin · IEEE International Conference on Data Science and Advanced Analytics (DSAA) · 41
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Linguistic and review features of peer feedback and their effect on implementation of changes in academic writing: A corpus based investigation
2012 · D.A.J. Leijen, A. Leontjeva · Journal of Writing Research · 27
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Early security classification of skype users via machine learning
2013 · Anna Leontjeva, Moises Goldszmidt, et al. · ACM Workshop on Artificial Intelligence and Security (AISec) · 15
BPIC 2015: Diagnostics of Building Permit Application Process in Dutch Municipalities
2015 · Irene Teinemaa, Anna Leontjeva, et al. · 9
Fraud Detection: Methods of Analysis for Hypergraph Data
2012 · A. Leontjeva, K. Tretyakov, et al. · IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM) · 7
Synthetic Voices: Evaluating the Fidelity of LLM-Generated Personas in Representing People’s Financial Wellbeing
2025 · Arshnoor Kaur, Amanda Aird, et al. · ACM Conference on User Modeling, Adaptation and Personalization (UMAP) · 6
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Community-Based Prediction of Activity Change in Skype
2015 · Irene Teinemaa, Anna Leontjeva, et al. · IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM) · 5
Detection of Abuse in Financial Transaction Descriptions Using Machine Learning
2023 · Anna Leontjeva, Genevieve Richards, et al. · SSRN Electronic Journal · 4
Memory Efficient Tabular Foundation Models
2026 · Luo, Shuting, Kanaan, Monika Mikhail, et al. · arXiv (Cornell University) · 3
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FeatureCuts: Feature Selection for Large Data by Optimizing the Cutoff
2025 · Andy Hu, Devika Prasad, et al. · IEEE International Conference on Big Data (BigData) · 2
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A Multi-Stakeholder Recommender System for Rewards Recommendations
2022 · Naime Ranjbar Kermany, Luiz Pizzato, et al. · ACM Conference on Recommender Systems (RecSys) · 2
Prompt Segmentation and Annotation Optimisation: Controlling LLM Behaviour via Optimised Segment-Level Annotations
2026 · Prasad, Devika, Gerschwitz, Luke, et al. · arXiv (Cornell University) · 1
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Do LLM Personas Dream of Bull Markets? Comparing Human and AI Investment Strategies Through the Lens of the Five-Factor Model
2024 · Borman, Harris, Leontjeva, Anna, et al. · RePEc: Research Papers in Economics · 1
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Beyond Generalist LLMs: Specialist Agentic Systems for Structured Code Workflow Execution
2026 · Borman, Harris, Wandabwa, Herman, et al. · arXiv (Cornell University)
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EmbGen: Teaching with Reassembled Corpora
2026 · Lenin, Arun K, Rouse, Kai, et al. · arXiv (Cornell University)
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A Robust and Efficient Pipeline for Enterprise-Level Large-Scale Entity Resolution
2025 · Sandeepa Kannangara, Arman Abrahamyan, et al. · IEEE International Conference on Big Data (BigData)
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Klientide andmed
2020 · Leontjeva, Anna · Figshare
Klientide tehingud
2020 · Leontjeva, Anna · Figshare
Using Generative Models to Combine Static and Sequential Features for Classification
2017 · Anna Leontjeva · DSpace repository (University of Tartu)
Works count: 25
Citation count: 434
H-index: 7
I10-index: 6
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