Teddy Lazebnik
Researcher Next ID · RN-044402
Researcher · Computer Science
Buenos Aires, Argentina
- Works count
- 209
- Citation count
- 1,433
- H-index
- 21
- i10-index
- 46
Research interests
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.