Improved Geometric Configuration for the Bladder Cancer BCG-Based Immunotherapy Treatment Model. - Teddy Lazebnik; Svetlana Bunimovich-Mendrazitsky (ISMCO, 2021)

PDE based geometry model for BCG immunotherapy of bladder cancer. - Teddy Lazebnik; Niva Aaroni; Svetlana Bunimovich-Mendrazitsky (Biosyst., 2021)

Novel Method to Analytically Obtain the Asymptotic Stable Equilibria States of Extended SIR-Type Epidemiological Models. - Teddy Lazebnik; Svetlana Bunimovich-Mendrazitsky; Leonid E. Shaikhet (Symmetry, 2021)

Demonstrating SubStrat: A Subset-Based Strategy for Faster AutoML on Large Datasets. - Teddy Lazebnik; Amit Somech (CIKM, 2022)

Advanced Multi-Mutation With Intervention Policies Pandemic Model. - Teddy Lazebnik; Gaddi Blumrosen (IEEE Access, 2022)

Comparison of pandemic intervention policies in several building types using heterogeneous population model. - Teddy Lazebnik; Ariel Alexi (Commun. Nonlinear Sci. Numer. Simul., 2022)

SubStrat: A Subset-Based Strategy for Faster AutoML. - Teddy Lazebnik; Amit Somech; Abraham Itzhak Weinberg (CoRR, 2022)

Rivendell: Project-Based Academic Search Engine. - Teddy Lazebnik; Hanna Weitman; Yoav Goldberg; Gal A. Kaminka (CoRR, 2022)

SciMED: A Computational Framework For Physics-Informed Symbolic Regression with Scientist-In-The-Loop. - Liron Simon Keren; Alex Liberzon; Teddy Lazebnik (CoRR, 2022)

High Resolution Spatio-Temporal Model for Room-Level Airborne Pandemic Spread. - Teddy Lazebnik; Ariel Alexi (CoRR, 2022)

Predicting acute kidney injury following open partial nephrectomy treatment using SAT-pruned explainable machine learning model. - Teddy Lazebnik; Zaher Bahouth; Svetlana Bunimovich-Mendrazitsky; Sarel Halachmi (BMC Medical Informatics Decis. Mak., 2022)

SubStrat: A Subset-Based Optimization Strategy for Faster AutoML. - Teddy Lazebnik; Amit Somech; Abraham Itzhak Weinberg (Proc. VLDB Endow., 2022)

The Trade-Off between Airborne Pandemic Control and Energy Consumption Using Air Ventilation Solutions. - Ariel Alexi; Ariel Rosenfeld; Teddy Lazebnik (Sensors, 2022)

FSPL: A meta-learning approach for a filter and embedded feature selection pipeline. - Teddy Lazebnik; Avi Rosenfeld (Int. J. Appl. Math. Comput. Sci., 2023)

A hybrid mathematical model for an optimal border closure policy during a pandemic. - Teddy Lazebnik; Labib Shami; Svetlana Bunimovich-Mendrazitsky (Int. J. Appl. Math. Comput. Sci., 2023)

Cost-optimal Seeding Strategy During a Botanical Pandemic in Domesticated Fields. - Teddy Lazebnik (CoRR, 2023)

Economical-Epidemiological Analysis of the Coffee Trees Rust Pandemic. - Teddy Lazebnik; Ariel Rosenfeld; Ariel Alexi; Labib Shami (CoRR, 2023)

The Family Tree Graph as a Predictor of the Family Members' Satisfaction with One Another. - Teddy Lazebnik (CoRR, 2023)

A Computational Model For Individual Scholars' Writing Style Dynamics. - Teddy Lazebnik; Ariel Rosenfeld (CoRR, 2023)

BovineTalk: Machine Learning for Vocalization Analysis of Dairy Cattle under Negative Affective States. - Dinu Gavojdian; Teddy Lazebnik; Madalina Mincu; Ariel Oren; Ioana Nicolae; Anna Zamansky (CoRR, 2023)

Digitally-Enhanced Dog Behavioral Testing: Getting Help from the Machine. - Nareed Farhat; Teddy Lazebnik; Joke Monteny; Christel Palmyre Henri Moons; Eline Wydooghe; Dirk van der Linden; Anna Zamansky (CoRR, 2023)

Machine Learning Approaches to Predict and Detect Early-Onset of Digital Dermatitis in Dairy Cows using Sensor Data. - Jennifer Magana; Dinu Gavojdian; Yakir Menachem; Teddy Lazebnik; Anna Zamansky; Amber Adams-Progar (CoRR, 2023)

The Academic Midas Touch: An Unconventional Scientometric for Evaluating Academic Excellence. - Ariel Rosenfeld; Ariel Alexi; Liel Mushiev; Teddy Lazebnik (CoRR, 2023)

Mathematical Model of Dating Apps' Influence on Sexually Transmitted Diseases Spread. - Ariel Fenster; Teddy Lazebnik (CoRR, 2023)

Predicting Lung Cancer's Metastats' Locations Using Bioclinical Model. - Teddy Lazebnik; Svetlana Bunimovich-Mendrazitsky (CoRR, 2023)

Individual Variation Affects Outbreak Magnitude and Predictability in an Extended Multi-Pathogen SIR Model of Pigeons Vising Dairy Farms. - Teddy Lazebnik; Orr Spiegel (CoRR, 2023)

Symbolic Regression as Feature Engineering Method for Machine and Deep Learning Regression Tasks. - Assaf Shmuel; Oren Glickman; Teddy Lazebnik (CoRR, 2023)

Predicting Postoperative Nausea And Vomiting Using Machine Learning: A Model Development and Validation Study. - Maxim Glebov; Teddy Lazebnik; Boris Orkin; Haim Berkenstadt; Svetlana Bunimovich-Mendrazitsky (CoRR, 2023)

Exploration-Exploitation Model of Moth-Inspired Olfactory Navigation. - Teddy Lazebnik; Yiftach Golov; Roi Gurka; Ally Harari; Alex Liberzon (CoRR, 2023)

Can We Mathematically Spot the Possible Manipulation of Results in Research Manuscripts Using Benford's Law? - Teddy Lazebnik; Dan Gorlitsky (Data, 2023)

Decision tree post-pruning without loss of accuracy using the SAT-PP algorithm with an empirical evaluation on clinical data. - Teddy Lazebnik; Svetlana Bunimovich-Mendrazitsky (Data Knowl. Eng., 2023)

Mathematical model of coffee tree's rust control using snails as biological agents. - Yonatan Herskowitz; Svetlana Bunimovich-Mendrazitsky; Teddy Lazebnik (Biosyst., 2023)

Cancer-inspired genomics mapper model for the generation of synthetic DNA sequences with desired genomics signatures. - Teddy Lazebnik; Liron Simon Keren (Comput. Biol. Medicine, 2023)

Data-driven hospitals staff and resources allocation using agent-based simulation and deep reinforcement learning. - Teddy Lazebnik (Eng. Appl. Artif. Intell., 2023)

Academic co-authorship is a risky game. - Teddy Lazebnik; Stephan Beck 002; Labib Shami (Scientometrics, 2023)

An algorithm to optimize explainability using feature ensembles. - Teddy Lazebnik; Svetlana Bunimovich-Mendrazitsky; Avi Rosenfeld (Appl. Intell., 2024)

Whose LLM is it Anyway? Linguistic Comparison and LLM Attribution for GPT-3.5, GPT-4 and Bard. - Ariel Rosenfeld; Teddy Lazebnik (CoRR, 2024)

Transforming Norm-based To Graph-based Spatial Representation for Spatio-Temporal Epidemiological Models. - Teddy Lazebnik (CoRR, 2024)

Evaluating Supply Chain Resilience During Pandemic Using Agent-based Simulation. - Teddy Lazebnik (CoRR, 2024)

Introducing 'Inside' Out of Distribution. - Teddy Lazebnik (CoRR, 2024)

A Comprehensive Benchmark of Machine and Deep Learning Across Diverse Tabular Datasets. - Assaf Shmuel; Oren Glickman; Teddy Lazebnik (CoRR, 2024)

Global Lightning-Ignited Wildfires Prediction and Climate Change Projections based on Explainable Machine Learning Models. - Assaf Shmuel; Teddy Lazebnik; Oren Glickman; Eyal Heifetz; Colin Price (CoRR, 2024)

Spatio-Temporal SIR Model of Pandemic Spread During Warfare with Optimal Dual-use Healthcare System Administration using Deep Reinforcement Learning. - Adi Shuchami; Teddy Lazebnik (CoRR, 2024)

Knowledge-integrated autoencoder model. - Teddy Lazebnik; Liron Simon Keren (Expert Syst. Appl., 2024)

Detecting LLM-assisted writing in scientific communication: Are we there yet? - Teddy Lazebnik; Ariel Rosenfeld (J. Data Inf. Sci., 2024)

A new definition for feature selection stability analysis. - Teddy Lazebnik; Avi Rosenfeld (Ann. Math. Artif. Intell., 2024)

The scientometrics and reciprocality underlying co-authorship panels in Google Scholar profiles. - Ariel Alexi; Teddy Lazebnik; Ariel Rosenfeld (Scientometrics, 2024)

Temporal graphs anomaly emergence detection: benchmarking for social media interactions. - Teddy Lazebnik; Or Iny (Appl. Intell., 2024)

Pulling the carpet below the learner's feet: Genetic algorithm to learn ensemble machine learning model during concept drift. - Teddy Lazebnik (Eng. Appl. Artif. Intell., 2025)

The Academic Midas Touch: A citation-based indicator of research excellence. - Ariel Rosenfeld; Ariel Alexi; Liel Mushiev; Teddy Lazebnik (J. Data Inf. Sci., 2025)

Publishing instincts: An exploration-exploitation framework for studying academic publishing behavior and "Home Venues". - Teddy Lazebnik; Shir Aviv-Reuven; Ariel Rosenfeld (J. Informetrics, 2025)

Data Augmentation for Deep Learning Regression Tasks by Machine Learning Models. - Assaf Shmuel; Oren Glickman; Teddy Lazebnik (CoRR, 2025)

An Empirically-parametrized Spatio-Temporal Extended-SIR Model for Combined Dilution and Vaccination Mitigation for Rabies Outbreaks in Wild Jackals. - Teddy Lazebnik; Yehuda Samuel; Jonathan Tichon; Roi Lapid; Roni King; Tomer Nissimian; Orr Spiegel (CoRR, 2025)

Investigating Tax Evasion Emergence Using Dual Large Language Model and Deep Reinforcement Learning Powered Agent-based Simulation. - Teddy Lazebnik; Labib Shami (CoRR, 2025)

Tighten The Lasso: A Convex Hull Volume-based Anomaly Detection Method. - Uri Itai; Asael Bar Ilan; Teddy Lazebnik (CoRR, 2025)

Interpretable Transformation and Analysis of Timelines through Learning via Surprisability. - Osnat Mokryn; Teddy Lazebnik; Hagit Ben-Shoshan (CoRR, 2025)

How lonely or influential is the Lone Wolf? An analysis of individual scholars' solo-authorship dynamics. - Teddy Lazebnik; Ariel Rosenfeld (Scientometrics, 2025)