Teddy Lazebnik
Orcid: 0000-0002-7851-8147
According to our database1,
Teddy Lazebnik
authored at least 48 papers
between 2021 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2024
Temporal graphs anomaly emergence detection: benchmarking for social media interactions.
Appl. Intell., December, 2024
The scientometrics and reciprocality underlying co-authorship panels in Google Scholar profiles.
Scientometrics, June, 2024
Ann. Math. Artif. Intell., June, 2024
J. Data Inf. Sci., 2024
Publishing Instincts: An Exploration-Exploitation Framework for Studying Academic Publishing Behavior and "Home Venues".
CoRR, 2024
Global Lightning-Ignited Wildfires Prediction and Climate Change Projections based on Explainable Machine Learning Models.
CoRR, 2024
A Comprehensive Benchmark of Machine and Deep Learning Across Diverse Tabular Datasets.
CoRR, 2024
CoRR, 2024
Transforming Norm-based To Graph-based Spatial Representation for Spatio-Temporal Epidemiological Models.
CoRR, 2024
Whose LLM is it Anyway? Linguistic Comparison and LLM Attribution for GPT-3.5, GPT-4 and Bard.
CoRR, 2024
2023
Data-driven hospitals staff and resources allocation using agent-based simulation and deep reinforcement learning.
Eng. Appl. Artif. Intell., November, 2023
Cancer-inspired genomics mapper model for the generation of synthetic DNA sequences with desired genomics signatures.
Comput. Biol. Medicine, September, 2023
Biosyst., July, 2023
Decision tree post-pruning without loss of accuracy using the SAT-PP algorithm with an empirical evaluation on clinical data.
Data Knowl. Eng., May, 2023
Can We Mathematically Spot the Possible Manipulation of Results in Research Manuscripts Using Benford's Law?
Data, 2023
Predicting Postoperative Nausea And Vomiting Using Machine Learning: A Model Development and Validation Study.
CoRR, 2023
Symbolic Regression as Feature Engineering Method for Machine and Deep Learning Regression Tasks.
CoRR, 2023
Individual Variation Affects Outbreak Magnitude and Predictability in an Extended Multi-Pathogen SIR Model of Pigeons Vising Dairy Farms.
CoRR, 2023
Mathematical Model of Dating Apps' Influence on Sexually Transmitted Diseases Spread.
CoRR, 2023
The Academic Midas Touch: An Unconventional Scientometric for Evaluating Academic Excellence.
CoRR, 2023
Machine Learning Approaches to Predict and Detect Early-Onset of Digital Dermatitis in Dairy Cows using Sensor Data.
CoRR, 2023
BovineTalk: Machine Learning for Vocalization Analysis of Dairy Cattle under Negative Affective States.
CoRR, 2023
The Family Tree Graph as a Predictor of the Family Members' Satisfaction with One Another.
CoRR, 2023
CoRR, 2023
Int. J. Appl. Math. Comput. Sci., 2023
Int. J. Appl. Math. Comput. Sci., 2023
2022
The Trade-Off between Airborne Pandemic Control and Energy Consumption Using Air Ventilation Solutions.
Sensors, 2022
Proc. VLDB Endow., 2022
Predicting acute kidney injury following open partial nephrectomy treatment using SAT-pruned explainable machine learning model.
BMC Medical Informatics Decis. Mak., 2022
CoRR, 2022
SciMED: A Computational Framework For Physics-Informed Symbolic Regression with Scientist-In-The-Loop.
CoRR, 2022
Comparison of pandemic intervention policies in several building types using heterogeneous population model.
Commun. Nonlinear Sci. Numer. Simul., 2022
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022
2021
Novel Method to Analytically Obtain the Asymptotic Stable Equilibria States of Extended SIR-Type Epidemiological Models.
Symmetry, 2021
Improved Geometric Configuration for the Bladder Cancer BCG-Based Immunotherapy Treatment Model.
Proceedings of the Mathematical and Computational Oncology - Third International Symposium, 2021