Teddy Lazebnik

85 papers A 1Journal 83Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Break a Lag: Triple Exponential Moving Average for Enhanced Optimization. Mach. Learn. Roi Peleg, Yair Smadar, Teddy Lazebnik, Assaf Hoogi
2026	J	`jnl`	Comparing partial differential equations and agent-based simulations in spatio-temporal modeling of cancer growth and shape. J. Comput. Appl. Math. Teddy Lazebnik, Avner Friedman
2026	J	`jnl`	Cooperative Game Theory Model for Sustainable UN Financing: Addressing Global Public Goods Provision. CoRR Labib Shami, Teddy Lazebnik
2026	J	`jnl`	Follow the Forest Trail: Distillation by Gradient Boosting Models to Enhance Symbolic Regression Performance. IEEE Access Assaf Shmuel, Teddy Lazebnik, Oren Glickman
2026	J	`jnl`	Friends, Foes, and First Authors: A Game Theory Model of How Power Plays Rewrite Academic Co-Authorship Networks. CoRR Amit Bengal, Teddy Lazebnik
2026	J	`jnl`	Interpretable knowledge distillation via symbolic regression for feedforward neural networks. Neural Comput. Appl. Assaf Shmuel, Nir Koren, Oren Glickman, Teddy Lazebnik
2026	J	`jnl`	Introducing "Inside" out of distribution. Int. J. Data Sci. Anal. Teddy Lazebnik
2026	J	`jnl`	The Economical-Ecological Benefits of Matching Non-matching Socks. CoRR Teddy Lazebnik
2026	J	`jnl`	Tighten the lasso: a convex hull volume-based anomaly detection method. Int. J. Data Sci. Anal. Uri Itai, Asael Bar Ilan, Teddy Lazebnik
2026	J	`jnl`	Transforming norm-based to graph-based spatial representation for spatio-temporal epidemiological models. Eng. Appl. Artif. Intell. Teddy Lazebnik
2025	J	`jnl`	A comprehensive benchmark of machine and deep learning models on structured data for regression and classification. Neurocomputing Assaf Shmuel, Oren Glickman, Teddy Lazebnik
2025	J	`jnl`	Accelerating Reinforcement Learning Algorithms Convergence using Pre-trained Large Language Models as Tutors With Advice Reusing. CoRR Lukas Toral, Teddy Lazebnik
2025	J	`jnl`	An Empirically-parametrized Spatio-Temporal Extended-SIR Model for Combined Dilution and Vaccination Mitigation for Rabies Outbreaks in Wild Jackals. CoRR Teddy Lazebnik, Yehuda Samuel, Jonathan Tichon, Roi Lapid, Roni King, Tomer Nissimian, Orr Spiegel
2025	J	`jnl`	Bi-National Academic Funding and Collaboration Dynamics: The Case of the German-Israeli Foundation. CoRR Amit Bengiat, Teddy Lazebnik, Philipp Mayr, Ariel Rosenfeld
2025	J	`jnl`	Chronic Stress, Immune Suppression, and Cancer Occurrence: Unveiling the Connection using Survey Data and Predictive Models. CoRR Teddy Lazebnik, Vered Aharonson
2025	J	`jnl`	Data Augmentation for Deep Learning Regression Tasks by Machine Learning Models. CoRR Assaf Shmuel, Oren Glickman, Teddy Lazebnik
2025	J	`jnl`	How lonely or influential is the Lone Wolf? An analysis of individual scholars' solo-authorship dynamics. Scientometrics Teddy Lazebnik, Ariel Rosenfeld
2025	J	`jnl`	Inducing State Anxiety in LLM Agents Reproduces Human-Like Biases in Consumer Decision-Making. CoRR Ziv Ben-Zion, Zohar Elyoseph, Tobias Spiller, Teddy Lazebnik
2025	J	`jnl`	Interpretable Transformation and Analysis of Timelines through Learning via Surprisability. CoRR Osnat Mokryn, Teddy Lazebnik, Hagit Ben-Shoshan
2025	J	`jnl`	Investigating Tax Evasion Emergence Using Dual Large Language Model and Deep Reinforcement Learning Powered Agent-based Simulation. CoRR Teddy Lazebnik, Labib Shami
2025	J	`jnl`	Knowledge Integration for Physics-informed Symbolic Regression Using Pre-trained Large Language Models. CoRR Bilge Taskin, Wenxiong Xie, Teddy Lazebnik
2025	J	`jnl`	Mind Your Manners: The Dynamics of Politeness in Human-AI vs. Human-Human Interactions. Proc. ACM Hum. Comput. Interact. Teddy Lazebnik, Lior Zalmanson, Osnat Mokryn
2025	J	`jnl`	Publishing instincts: An exploration-exploitation framework for studying academic publishing behavior and "Home Venues". J. Informetrics Teddy Lazebnik, Shir Aviv-Reuven, Ariel Rosenfeld
2025	J	`jnl`	Pulling the carpet below the learner's feet: Genetic algorithm to learn ensemble machine learning model during concept drift. Eng. Appl. Artif. Intell. Teddy Lazebnik
2025	J	`jnl`	The Academic Midas Touch: A citation-based indicator of research excellence. J. Data Inf. Sci. Ariel Rosenfeld, Ariel Alexi, Liel Mushiev, Teddy Lazebnik
2025	J	`jnl`	Tighten The Lasso: A Convex Hull Volume-based Anomaly Detection Method. CoRR Uri Itai, Asael Bar Ilan, Teddy Lazebnik
2024	J	`jnl`	A Comprehensive Benchmark of Machine and Deep Learning Across Diverse Tabular Datasets. CoRR Assaf Shmuel, Oren Glickman, Teddy Lazebnik
2024	J	`jnl`	A new definition for feature selection stability analysis. Ann. Math. Artif. Intell. Teddy Lazebnik, Avi Rosenfeld
2024	J	`jnl`	An algorithm to optimize explainability using feature ensembles. Appl. Intell. Teddy Lazebnik, Svetlana Bunimovich-Mendrazitsky, Avi Rosenfeld
2024	J	`jnl`	Detecting LLM-Assisted Writing in Scientific Communication: Are We There Yet? CoRR Teddy Lazebnik, Ariel Rosenfeld
2024	J	`jnl`	Detecting LLM-assisted writing in scientific communication: Are we there yet? J. Data Inf. Sci. Teddy Lazebnik, Ariel Rosenfeld
2024	J	`jnl`	Evaluating Supply Chain Resilience During Pandemic Using Agent-based Simulation. CoRR Teddy Lazebnik
2024	J	`jnl`	Global Lightning-Ignited Wildfires Prediction and Climate Change Projections based on Explainable Machine Learning Models. CoRR Assaf Shmuel, Teddy Lazebnik, Oren Glickman, Eyal Heifetz, Colin Price
2024	J	`jnl`	Introducing 'Inside' Out of Distribution. CoRR Teddy Lazebnik
2024	J	`jnl`	Knowledge-integrated autoencoder model. Expert Syst. Appl. Teddy Lazebnik, Liron Simon Keren
2024	J	`jnl`	Machine and deep learning performance in out-of-distribution regressions. Mach. Learn. Sci. Technol. Assaf Shmuel, Oren Glickman, Teddy Lazebnik
2024	J	`jnl`	Publishing Instincts: An Exploration-Exploitation Framework for Studying Academic Publishing Behavior and "Home Venues". CoRR Teddy Lazebnik, Shir Aviv-Reuven, Ariel Rosenfeld
2024	J	`jnl`	Pulling the Carpet Below the Learner's Feet: Genetic Algorithm To Learn Ensemble Machine Learning Model During Concept Drift. CoRR Teddy Lazebnik
2024	J	`jnl`	Spatio-Temporal SIR Model of Pandemic Spread During Warfare with Optimal Dual-use Healthcare System Administration using Deep Reinforcement Learning. CoRR Adi Shuchami, Teddy Lazebnik
2024	J	`jnl`	Symbolic regression as a feature engineering method for machine and deep learning regression tasks. Mach. Learn. Sci. Technol. Assaf Shmuel, Oren Glickman, Teddy Lazebnik
2024	J	`jnl`	Temporal graphs anomaly emergence detection: benchmarking for social media interactions. Appl. Intell. Teddy Lazebnik, Or Iny
2024	J	`jnl`	The scientometrics and reciprocality underlying co-authorship panels in Google Scholar profiles. Scientometrics Ariel Alexi, Teddy Lazebnik, Ariel Rosenfeld
2024	J	`jnl`	Transforming Norm-based To Graph-based Spatial Representation for Spatio-Temporal Epidemiological Models. CoRR Teddy Lazebnik
2024	J	`jnl`	Whose LLM is it Anyway? Linguistic Comparison and LLM Attribution for GPT-3.5, GPT-4 and Bard. CoRR Ariel Rosenfeld, Teddy Lazebnik
2023	J	`jnl`	A Computational Model For Individual Scholars' Writing Style Dynamics. CoRR Teddy Lazebnik, Ariel Rosenfeld
2023	J	`jnl`	A hybrid mathematical model for an optimal border closure policy during a pandemic. Int. J. Appl. Math. Comput. Sci. Teddy Lazebnik, Labib Shami, Svetlana Bunimovich-Mendrazitsky
2023	J	`jnl`	Academic co-authorship is a risky game. Scientometrics Teddy Lazebnik, Stephan Beck, Labib Shami
2023	J	`jnl`	BovineTalk: Machine Learning for Vocalization Analysis of Dairy Cattle under Negative Affective States. CoRR Dinu Gavojdian, Teddy Lazebnik, Madalina Mincu, Ariel Oren, Ioana Nicolae, Anna Zamansky
2023	J	`jnl`	Can We Mathematically Spot Possible Manipulation of Results in Research Manuscripts Using Benford's Law? CoRR Teddy Lazebnik, Dan Gorlitsky
2023	J	`jnl`	Can We Mathematically Spot the Possible Manipulation of Results in Research Manuscripts Using Benford's Law? Data Teddy Lazebnik, Dan Gorlitsky
2023	J	`jnl`	Cancer-inspired Genomics Mapper Model for the Generation of Synthetic DNA Sequences with Desired Genomics Signatures. CoRR Teddy Lazebnik, Liron Simon Keren
2023	J	`jnl`	Cancer-inspired genomics mapper model for the generation of synthetic DNA sequences with desired genomics signatures. Comput. Biol. Medicine Teddy Lazebnik, Liron Simon Keren
2023	J	`jnl`	Cost-optimal Seeding Strategy During a Botanical Pandemic in Domesticated Fields. CoRR Teddy Lazebnik
2023	J	`jnl`	Data-driven hospitals staff and resources allocation using agent-based simulation and deep reinforcement learning. Eng. Appl. Artif. Intell. Teddy Lazebnik
2023	J	`jnl`	Decision tree post-pruning without loss of accuracy using the SAT-PP algorithm with an empirical evaluation on clinical data. Data Knowl. Eng. Teddy Lazebnik, Svetlana Bunimovich-Mendrazitsky
2023	J	`jnl`	Digitally-Enhanced Dog Behavioral Testing: Getting Help from the Machine. CoRR Nareed Farhat, Teddy Lazebnik, Joke Monteny, Christel Palmyre Henri Moons, Eline Wydooghe, Dirk van der Linden, Anna Zamansky
2023	J	`jnl`	Economical-Epidemiological Analysis of the Coffee Trees Rust Pandemic. CoRR Teddy Lazebnik, Ariel Rosenfeld, Ariel Alexi, Labib Shami
2023	J	`jnl`	Exploration-Exploitation Model of Moth-Inspired Olfactory Navigation. CoRR Teddy Lazebnik, Yiftach Golov, Roi Gurka, Ally Harari, Alex Liberzon
2023	J	`jnl`	FSPL: A meta-learning approach for a filter and embedded feature selection pipeline. Int. J. Appl. Math. Comput. Sci. Teddy Lazebnik, Avi Rosenfeld
2023	J	`jnl`	Individual Variation Affects Outbreak Magnitude and Predictability in an Extended Multi-Pathogen SIR Model of Pigeons Vising Dairy Farms. CoRR Teddy Lazebnik, Orr Spiegel
2023	J	`jnl`	Knowledge-integrated AutoEncoder Model. CoRR Teddy Lazebnik, Liron Simon Keren
2023	J	`jnl`	Machine Learning Approaches to Predict and Detect Early-Onset of Digital Dermatitis in Dairy Cows using Sensor Data. CoRR Jennifer Magana, Dinu Gavojdian, Yakir Menachem, Teddy Lazebnik, Anna Zamansky, Amber Adams-Progar
2023	J	`jnl`	Mathematical Model of Dating Apps' Influence on Sexually Transmitted Diseases Spread. CoRR Ariel Fenster, Teddy Lazebnik
2023	J	`jnl`	Mathematical model of coffee tree's rust control using snails as biological agents. Biosyst. Yonatan Herskowitz, Svetlana Bunimovich-Mendrazitsky, Teddy Lazebnik
2023	J	`jnl`	Predicting Lung Cancer's Metastats' Locations Using Bioclinical Model. CoRR Teddy Lazebnik, Svetlana Bunimovich-Mendrazitsky
2023	J	`jnl`	Predicting Postoperative Nausea And Vomiting Using Machine Learning: A Model Development and Validation Study. CoRR Maxim Glebov, Teddy Lazebnik, Boris Orkin, Haim Berkenstadt, Svetlana Bunimovich-Mendrazitsky
2023	J	`jnl`	Symbolic Regression as Feature Engineering Method for Machine and Deep Learning Regression Tasks. CoRR Assaf Shmuel, Oren Glickman, Teddy Lazebnik
2023	J	`jnl`	Temporal Graphs Anomaly Emergence Detection: Benchmarking For Social Media Interactions. CoRR Teddy Lazebnik, Or Iny
2023	J	`jnl`	The Academic Midas Touch: An Unconventional Scientometric for Evaluating Academic Excellence. CoRR Ariel Rosenfeld, Ariel Alexi, Liel Mushiev, Teddy Lazebnik
2023	J	`jnl`	The Family Tree Graph as a Predictor of the Family Members' Satisfaction with One Another. CoRR Teddy Lazebnik
2023	J	`jnl`	The Scientometrics and Reciprocality Underlying Co-Authorship Panels in Google Scholar Profiles. CoRR Ariel Alexi, Teddy Lazebnik, Ariel Rosenfeld
2022	J	`jnl`	Academic Co-authorship is a Risky Game. CoRR Teddy Lazebnik, Stephan Beck, Labib Shami
2022	J	`jnl`	Advanced Multi-Mutation With Intervention Policies Pandemic Model. IEEE Access Teddy Lazebnik, Gaddi Blumrosen
2022	J	`jnl`	Comparison of pandemic intervention policies in several building types using heterogeneous population model. Commun. Nonlinear Sci. Numer. Simul. Teddy Lazebnik, Ariel Alexi
2022	A	`conf`	Demonstrating SubStrat: A Subset-Based Strategy for Faster AutoML on Large Datasets. CIKM Teddy Lazebnik, Amit Somech
2022	J	`jnl`	High Resolution Spatio-Temporal Model for Room-Level Airborne Pandemic Spread. CoRR Teddy Lazebnik, Ariel Alexi
2022	J	`jnl`	Predicting acute kidney injury following open partial nephrectomy treatment using SAT-pruned explainable machine learning model. BMC Medical Informatics Decis. Mak. Teddy Lazebnik, Zaher Bahouth, Svetlana Bunimovich-Mendrazitsky, Sarel Halachmi
2022	J	`jnl`	Rivendell: Project-Based Academic Search Engine. CoRR Teddy Lazebnik, Hanna Weitman, Yoav Goldberg, Gal A. Kaminka
2022	J	`jnl`	SciMED: A Computational Framework For Physics-Informed Symbolic Regression with Scientist-In-The-Loop. CoRR Liron Simon Keren, Alex Liberzon, Teddy Lazebnik
2022	J	`jnl`	SubStrat: A Subset-Based Optimization Strategy for Faster AutoML. Proc. VLDB Endow. Teddy Lazebnik, Amit Somech, Abraham Itzhak Weinberg
2022	J	`jnl`	SubStrat: A Subset-Based Strategy for Faster AutoML. CoRR Teddy Lazebnik, Amit Somech, Abraham Itzhak Weinberg
2022	J	`jnl`	The Trade-Off between Airborne Pandemic Control and Energy Consumption Using Air Ventilation Solutions. Sensors Ariel Alexi, Ariel Rosenfeld, Teddy Lazebnik
2021	—	`conf`	Improved Geometric Configuration for the Bladder Cancer BCG-Based Immunotherapy Treatment Model. ISMCO Teddy Lazebnik, Svetlana Bunimovich-Mendrazitsky
2021	J	`jnl`	Novel Method to Analytically Obtain the Asymptotic Stable Equilibria States of Extended SIR-Type Epidemiological Models. Symmetry Teddy Lazebnik, Svetlana Bunimovich-Mendrazitsky, Leonid E. Shaikhet
2021	J	`jnl`	PDE based geometry model for BCG immunotherapy of bladder cancer. Biosyst. Teddy Lazebnik, Niva Aaroni, Svetlana Bunimovich-Mendrazitsky