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Teddy Lazebnik

Researcher Next ID · RN-044402

Researcher · Computer Science

Favaloro University

Buenos Aires, Argentina

Accepting doctoral researchersFunding unknown
Works count
209
Citation count
1,433
H-index
21
i10-index
46

Research interests

Computer Science
Decision Sciences
Mathematics
Medicine
COVID-19 epidemiological studies
Machine Learning and Data Classification
scientometrics and bibliometrics research
Complex Network Analysis Techniques
Mathematical and Theoretical Epidemiology and Ecology Models

Publications

  • A comprehensive benchmark of machine and deep learning models on structured data for regression and classification

    Neurocomputing · 2025 · 10.1016/j.neucom.2025.131337

  • Symbolic regression as a feature engineering method for machine and deep learning regression tasks

    Machine Learning Science and Technology · 2024 · 10.1088/2632-2153/ad513a

  • Automated video-based pain recognition in cats using facial landmarks

    Scientific Reports · 2024 · 10.1038/s41598-024-78406-2

  • BovineTalk: machine learning for vocalization analysis of dairy cattle under the negative affective state of isolation

    Frontiers in Veterinary Science · 2024 · 10.3389/fvets.2024.1357109

  • Decision tree post-pruning without loss of accuracy using the SAT-PP algorithm with an empirical evaluation on clinical data

    Data & Knowledge Engineering · 2023 · 10.1016/j.datak.2023.102173

  • Computational applications of extended SIR models: A review focused on airborne pandemics

    Ecological Modelling · 2023 · 10.1016/j.ecolmodel.2023.110422

  • A computational framework for physics-informed symbolic regression with straightforward integration of domain knowledge

    Scientific Reports · 2023 · 10.1038/s41598-023-28328-2

  • Data-driven hospitals staff and resources allocation using agent-based simulation and deep reinforcement learning

    Engineering Applications of Artificial Intelligence · 2023 · 10.1016/j.engappai.2023.106783

  • Microfounded Tax Revenue Forecast Model with Heterogeneous Population and Genetic Algorithm Approach

    Computational Economics · 2023 · 10.1007/s10614-023-10379-2

  • Benchmarking Biologically-Inspired Automatic Machine Learning for Economic Tasks

    Sustainability · 2023 · 10.3390/su151411232

  • Implementing Machine Learning Methods in Estimating the Size of the Non-observed Economy

    Computational Economics · 2023 · 10.1007/s10614-023-10369-4

  • Machine learning approaches to predict and detect early-onset of digital dermatitis in dairy cows using sensor data

    Frontiers in Veterinary Science · 2023 · 10.3389/fvets.2023.1295430

  • Intervention policy influence on the effect of epidemiological crisis on industry-level production through input–output networks

    Socio-Economic Planning Sciences · 2023 · 10.1016/j.seps.2023.101553

  • Computer aided functional style identification and correction in modern russian texts

    Journal of Data Information and Management · 2022 · 10.1007/s42488-021-00062-2

  • Advanced Multi-Mutation With Intervention Policies Pandemic Model

    IEEE Access · 2022 · 10.1109/access.2022.3149956

  • Predicting acute kidney injury following open partial nephrectomy treatment using SAT-pruned explainable machine learning model

    BMC Medical Informatics and Decision Making · 2022 · 10.1186/s12911-022-01877-8

  • SynthEye: Investigating the Impact of Synthetic Data on Artificial Intelligence-assisted Gene Diagnosis of Inherited Retinal Disease

    Ophthalmology Science · 2022 · 10.1016/j.xops.2022.100258

  • Generic approach for mathematical model of multi-strain pandemics

    PLoS ONE · 2022 · 10.1371/journal.pone.0260683

  • SubStrat

    Proceedings of the VLDB Endowment · 2022 · 10.14778/3574245.3574261

  • Economic aspects of the detection of new strains in a multi-strain epidemiological–mathematical model

    Chaos Solitons & Fractals · 2022 · 10.1016/j.chaos.2022.112823

  • Novel Method to Analytically Obtain the Asymptotic Stable Equilibria States of Extended SIR-Type Epidemiological Models

    Symmetry · 2021 · 10.3390/sym13071120

  • Comparison of pandemic intervention policies in several building types using heterogeneous population model

    Communications in Nonlinear Science and Numerical Simulation · 2021 · 10.1016/j.cnsns.2021.106176

  • Pandemic management by a spatio–temporal mathematical model

    International Journal of Nonlinear Sciences and Numerical Simulation · 2021 · 10.1515/ijnsns-2021-0063

  • Spatio-Temporal influence of Non-Pharmaceutical interventions policies on pandemic dynamics and the economy: the case of COVID-19

    Economic Research-Ekonomska Istraživanja · 2021 · 10.1080/1331677x.2021.1925573

  • The Signature Features of COVID‐19 Pandemic in a Hybrid Mathematical Model—Implications for Optimal Work–School Lockdown Policy

    Advanced Theory and Simulations · 2021 · 10.1002/adts.202000298

Current projects

    No projects listed.