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Teddy Lazebnik
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2020 – today
- 2024
- [j21]Teddy Lazebnik, Avi Rosenfeld:
A new definition for feature selection stability analysis. Ann. Math. Artif. Intell. 92(3): 753-770 (2024) - [j20]Teddy Lazebnik, Svetlana Bunimovich-Mendrazitsky, Avi Rosenfeld:
An algorithm to optimize explainability using feature ensembles. Appl. Intell. 54(2): 2248-2260 (2024) - [j19]Teddy Lazebnik, Or Iny:
Temporal graphs anomaly emergence detection: benchmarking for social media interactions. Appl. Intell. 54(23): 12347-12356 (2024) - [j18]Teddy Lazebnik, Liron Simon Keren:
Knowledge-integrated autoencoder model. Expert Syst. Appl. 252: 124108 (2024) - [j17]Teddy Lazebnik, Ariel Rosenfeld:
Detecting LLM-assisted writing in scientific communication: Are we there yet? J. Data Inf. Sci. 9(3): 4-13 (2024) - [j16]Ariel Alexi, Teddy Lazebnik, Ariel Rosenfeld:
The scientometrics and reciprocality underlying co-authorship panels in Google Scholar profiles. Scientometrics 129(6): 3303-3313 (2024) - [i32]Teddy Lazebnik, Ariel Rosenfeld:
Detecting LLM-Assisted Writing in Scientific Communication: Are We There Yet? CoRR abs/2401.16807 (2024) - [i31]Ariel Rosenfeld, Teddy Lazebnik:
Whose LLM is it Anyway? Linguistic Comparison and LLM Attribution for GPT-3.5, GPT-4 and Bard. CoRR abs/2402.14533 (2024) - [i30]Teddy Lazebnik:
Transforming Norm-based To Graph-based Spatial Representation for Spatio-Temporal Epidemiological Models. CoRR abs/2402.14539 (2024) - [i29]Teddy Lazebnik:
Evaluating Supply Chain Resilience During Pandemic Using Agent-based Simulation. CoRR abs/2405.08830 (2024) - [i28]Teddy Lazebnik:
Introducing 'Inside' Out of Distribution. CoRR abs/2407.04534 (2024) - [i27]Assaf Shmuel, Oren Glickman, Teddy Lazebnik:
A Comprehensive Benchmark of Machine and Deep Learning Across Diverse Tabular Datasets. CoRR abs/2408.14817 (2024) - [i26]Assaf Shmuel, Teddy Lazebnik, Oren Glickman, Eyal Heifetz, Colin Price:
Global Lightning-Ignited Wildfires Prediction and Climate Change Projections based on Explainable Machine Learning Models. CoRR abs/2409.10046 (2024) - [i25]Teddy Lazebnik, Shir Aviv-Reuven, Ariel Rosenfeld:
Publishing Instincts: An Exploration-Exploitation Framework for Studying Academic Publishing Behavior and "Home Venues". CoRR abs/2409.12158 (2024) - 2023
- [j15]Teddy Lazebnik, Avi Rosenfeld:
FSPL: A meta-learning approach for a filter and embedded feature selection pipeline. Int. J. Appl. Math. Comput. Sci. 33(1) (2023) - [j14]Teddy Lazebnik, Labib Shami, Svetlana Bunimovich-Mendrazitsky:
A hybrid mathematical model for an optimal border closure policy during a pandemic. Int. J. Appl. Math. Comput. Sci. 33(4) (2023) - [j13]Yonatan Herskowitz, Svetlana Bunimovich-Mendrazitsky, Teddy Lazebnik:
Mathematical model of coffee tree's rust control using snails as biological agents. Biosyst. 229: 104916 (2023) - [j12]Teddy Lazebnik, Liron Simon Keren:
Cancer-inspired genomics mapper model for the generation of synthetic DNA sequences with desired genomics signatures. Comput. Biol. Medicine 164: 107221 (2023) - [j11]Teddy Lazebnik, Dan Gorlitsky:
Can We Mathematically Spot the Possible Manipulation of Results in Research Manuscripts Using Benford's Law? Data 8(11): 165 (2023) - [j10]Teddy Lazebnik, Svetlana Bunimovich-Mendrazitsky:
Decision tree post-pruning without loss of accuracy using the SAT-PP algorithm with an empirical evaluation on clinical data. Data Knowl. Eng. 145: 102173 (2023) - [j9]Teddy Lazebnik:
Data-driven hospitals staff and resources allocation using agent-based simulation and deep reinforcement learning. Eng. Appl. Artif. Intell. 126: 106783 (2023) - [j8]Teddy Lazebnik, Stephan Beck, Labib Shami:
Academic co-authorship is a risky game. Scientometrics 128(12): 6495-6507 (2023) - [i24]Teddy Lazebnik:
Cost-optimal Seeding Strategy During a Botanical Pandemic in Domesticated Fields. CoRR abs/2301.02817 (2023) - [i23]Teddy Lazebnik, Liron Simon Keren:
Knowledge-integrated AutoEncoder Model. CoRR abs/2303.06721 (2023) - [i22]Teddy Lazebnik, Ariel Rosenfeld, Ariel Alexi, Labib Shami:
Economical-Epidemiological Analysis of the Coffee Trees Rust Pandemic. CoRR abs/2304.14515 (2023) - [i21]Teddy Lazebnik, Liron Simon Keren:
Cancer-inspired Genomics Mapper Model for the Generation of Synthetic DNA Sequences with Desired Genomics Signatures. CoRR abs/2305.01475 (2023) - [i20]Teddy Lazebnik:
The Family Tree Graph as a Predictor of the Family Members' Satisfaction with One Another. CoRR abs/2305.01552 (2023) - [i19]Teddy Lazebnik, Ariel Rosenfeld:
A Computational Model For Individual Scholars' Writing Style Dynamics. CoRR abs/2305.04900 (2023) - [i18]Teddy Lazebnik, Dan Gorlitsky:
Can We Mathematically Spot Possible Manipulation of Results in Research Manuscripts Using Benford's Law? CoRR abs/2307.01742 (2023) - [i17]Teddy Lazebnik, Or Iny:
Temporal Graphs Anomaly Emergence Detection: Benchmarking For Social Media Interactions. CoRR abs/2307.05268 (2023) - [i16]Dinu Gavojdian, Teddy Lazebnik, Madalina Mincu, Ariel Oren, Ioana Nicolae, Anna Zamansky:
BovineTalk: Machine Learning for Vocalization Analysis of Dairy Cattle under Negative Affective States. CoRR abs/2307.13994 (2023) - [i15]Nareed Farhat, Teddy Lazebnik, Joke Monteny, Christel Palmyre Henri Moons, Eline Wydooghe, Dirk van der Linden, Anna Zamansky:
Digitally-Enhanced Dog Behavioral Testing: Getting Help from the Machine. CoRR abs/2308.06269 (2023) - [i14]Ariel Alexi, Teddy Lazebnik, Ariel Rosenfeld:
The Scientometrics and Reciprocality Underlying Co-Authorship Panels in Google Scholar Profiles. CoRR abs/2308.07001 (2023) - [i13]Jennifer Magana, Dinu Gavojdian, Yakir Menachem, Teddy Lazebnik, Anna Zamansky, Amber Adams-Progar:
Machine Learning Approaches to Predict and Detect Early-Onset of Digital Dermatitis in Dairy Cows using Sensor Data. CoRR abs/2309.10010 (2023) - [i12]Ariel Rosenfeld, Ariel Alexi, Liel Mushiev, Teddy Lazebnik:
The Academic Midas Touch: An Unconventional Scientometric for Evaluating Academic Excellence. CoRR abs/2309.14013 (2023) - [i11]Ariel Fenster, Teddy Lazebnik:
Mathematical Model of Dating Apps' Influence on Sexually Transmitted Diseases Spread. CoRR abs/2310.00341 (2023) - [i10]Teddy Lazebnik, Svetlana Bunimovich-Mendrazitsky:
Predicting Lung Cancer's Metastats' Locations Using Bioclinical Model. CoRR abs/2310.08596 (2023) - [i9]Teddy Lazebnik, Orr Spiegel:
Individual Variation Affects Outbreak Magnitude and Predictability in an Extended Multi-Pathogen SIR Model of Pigeons Vising Dairy Farms. CoRR abs/2310.08613 (2023) - [i8]Assaf Shmuel, Oren Glickman, Teddy Lazebnik:
Symbolic Regression as Feature Engineering Method for Machine and Deep Learning Regression Tasks. CoRR abs/2311.06028 (2023) - [i7]Maxim Glebov, Teddy Lazebnik, Boris Orkin, Haim Berkenstadt, Svetlana Bunimovich-Mendrazitsky:
Predicting Postoperative Nausea And Vomiting Using Machine Learning: A Model Development and Validation Study. CoRR abs/2312.01093 (2023) - [i6]Teddy Lazebnik, Yiftach Golov, Roi Gurka, Ally Harari, Alex Liberzon:
Exploration-Exploitation Model of Moth-Inspired Olfactory Navigation. CoRR abs/2312.11492 (2023) - 2022
- [j7]Teddy Lazebnik, Gaddi Blumrosen:
Advanced Multi-Mutation With Intervention Policies Pandemic Model. IEEE Access 10: 22769-22781 (2022) - [j6]Teddy Lazebnik, Ariel Alexi:
Comparison of pandemic intervention policies in several building types using heterogeneous population model. Commun. Nonlinear Sci. Numer. Simul. 107: 106176 (2022) - [j5]Teddy Lazebnik, Zaher Bahouth, Svetlana Bunimovich-Mendrazitsky, Sarel Halachmi:
Predicting acute kidney injury following open partial nephrectomy treatment using SAT-pruned explainable machine learning model. BMC Medical Informatics Decis. Mak. 22(1): 133 (2022) - [j4]Teddy Lazebnik, Amit Somech, Abraham Itzhak Weinberg:
SubStrat: A Subset-Based Optimization Strategy for Faster AutoML. Proc. VLDB Endow. 16(4): 772-780 (2022) - [j3]Ariel Alexi, Ariel Rosenfeld, Teddy Lazebnik:
The Trade-Off between Airborne Pandemic Control and Energy Consumption Using Air Ventilation Solutions. Sensors 22(22): 8594 (2022) - [c2]Teddy Lazebnik, Amit Somech:
Demonstrating SubStrat: A Subset-Based Strategy for Faster AutoML on Large Datasets. CIKM 2022: 4907-4911 - [i5]Teddy Lazebnik, Amit Somech, Abraham Itzhak Weinberg:
SubStrat: A Subset-Based Strategy for Faster AutoML. CoRR abs/2206.03070 (2022) - [i4]Teddy Lazebnik, Hanna Weitman, Yoav Goldberg, Gal A. Kaminka:
Rivendell: Project-Based Academic Search Engine. CoRR abs/2206.12926 (2022) - [i3]Teddy Lazebnik, Stephan Beck, Labib Shami:
Academic Co-authorship is a Risky Game. CoRR abs/2207.13170 (2022) - [i2]Liron Simon Keren, Alex Liberzon, Teddy Lazebnik:
SciMED: A Computational Framework For Physics-Informed Symbolic Regression with Scientist-In-The-Loop. CoRR abs/2209.06257 (2022) - [i1]Teddy Lazebnik, Ariel Alexi:
High Resolution Spatio-Temporal Model for Room-Level Airborne Pandemic Spread. CoRR abs/2210.03431 (2022) - 2021
- [j2]Teddy Lazebnik, Niva Aaroni, Svetlana Bunimovich-Mendrazitsky:
PDE based geometry model for BCG immunotherapy of bladder cancer. Biosyst. 200: 104319 (2021) - [j1]Teddy Lazebnik, Svetlana Bunimovich-Mendrazitsky, Leonid E. Shaikhet:
Novel Method to Analytically Obtain the Asymptotic Stable Equilibria States of Extended SIR-Type Epidemiological Models. Symmetry 13(7): 1120 (2021) - [c1]Teddy Lazebnik, Svetlana Bunimovich-Mendrazitsky:
Improved Geometric Configuration for the Bladder Cancer BCG-Based Immunotherapy Treatment Model. ISMCO 2021: 63-67
Coauthor Index
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last updated on 2024-12-10 20:52 CET by the dblp team
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