Abraham Itzhak Weinberg

Affiliations:
  • Bar Ilan University, Israel


According to our database1, Abraham Itzhak Weinberg authored at least 34 papers between 2017 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Generating effective ensembles for sentiment analysis.
Int. J. Data Sci. Anal., December, 2026

Macie a multi-agent causal intelligence explainer for collective behavior understanding.
Discov. Artif. Intell., December, 2026

The role and applications of airport digital twin in cyberattack protection during the generative AI era.
Discov. Artif. Intell., December, 2026

QuantFPFlow: Quantum Amplitude Estimation for Fokker-Planck Policy Optimisation in Continuous Reinforcement Learning.
CoRR, May, 2026

CLOUDBURST: Cloud-Layer Observations Using Beacons for Unified Real-time Surveillance and Threat Attribution.
CoRR, May, 2026

ORCHID: Orchestrated Reduction Consensus for Hash-based Integrity in Distributed Ledgers.
CoRR, May, 2026

Two Hebrew folk meteorological proverbs tested: rainfall on Rosh Chodesh and Shabbat Mevarechim as predictors of monthly precipitation (Israel, 1950-2024).
CoRR, May, 2026

PHANTOM: Polymorphic Honeytoken Adaptation with Narrative-Tailored Organisational Mimicry.
CoRR, May, 2026

ARCANE: Cross-Campaign Attacker Re-identification via Passive Beacon Telemetry - A Bayesian Network Framework for Longitudinal Cyber Attribution.
CoRR, April, 2026

Quantum-Assisted Optimal Rebalancing with Uncorrelated Asset Selection for Algorithmic Trading Walk-Forward QUBO Scheduling via QAOA.
CoRR, March, 2026

2025
Hybrid Quantum-Classical Ensemble Learning for S\&P 500 Directional Prediction.
CoRR, December, 2025

Quantum Decision Transformers (QDT): Synergistic Entanglement and Interference for Offline Reinforcement Learning.
CoRR, December, 2025

Causality from bottom to top: a survey.
Mach. Learn., November, 2025

Trust-Based Social Learning for Communication (TSLEC) Protocol Evolution in Multi-Agent Reinforcement Learning.
CoRR, November, 2025

A Framework for the Adoption and Integration of Generative AI in Midsize Organizations and Enterprises (FAIGMOE).
CoRR, October, 2025

Datastreams and beyond, from traditional approaches to quantum: a comprehensive survey.
Evol. Intell., August, 2025

Passive Hack-Back Strategies for Cyber Attribution: Covert Vectors in Denied Environment.
CoRR, August, 2025

Singularity Cipher: A Topology-Driven Cryptographic Scheme Based on Visual Paradox and Klein Bottle Illusions.
CoRR, July, 2025

Preparing for the Post Quantum Era: Quantum Ready Architecture for Security and Risk Management (QUASAR) - A Strategic Framework for Cybersecurity.
CoRR, May, 2025

Human-Oriented Image Retrieval System (HORSE): A Neuro-Symbolic Approach to Optimizing Retrieval of Previewed Images.
CoRR, April, 2025

Dynamic Data Defense: Unveiling the Database in motion Chaos Encryption (DaChE) Algorithm - A Breakthrough in Chaos Theory for Enhanced Database Security.
CoRR, January, 2025

2024
Survey of learning-based approaches for robotic in-hand manipulation.
Frontiers Robotics AI, 2024

Transforming Triple-Entry Accounting with Machine Learning: A Path to Enhanced Transparency Through Analytics.
CoRR, 2024

Will Central Bank Digital Currencies (CBDC) and Blockchain Cryptocurrencies Coexist in the Post Quantum Era?
CoRR, 2024

Quantum Algorithms: A New Frontier in Financial Crime Prevention.
CoRR, 2024

Zero Trust Implementation in the Emerging Technologies Era: Survey.
CoRR, 2024

Survey of Learning Approaches for Robotic In-Hand Manipulation.
CoRR, 2024

2023
EnHAT - Synergy of a tree-based Ensemble with Hoeffding Adaptive Tree for dynamic data streams mining.
Inf. Fusion, 2023

2022
SubStrat: A Subset-Based Optimization Strategy for Faster AutoML.
Proc. VLDB Endow., 2022

SubStrat: A Subset-Based Strategy for Faster AutoML.
CoRR, 2022

2021
Hand-Object Interaction: From Human Demonstrations to Robot Manipulation.
Frontiers Robotics AI, 2021

2020
Goal Density-based Hindsight Experience Prioritization for Multi-Goal Robot Manipulation Reinforcement Learning.
Proceedings of the 29th IEEE International Conference on Robot and Human Interactive Communication, 2020

2019
Selecting a representative decision tree from an ensemble of decision-tree models for fast big data classification.
J. Big Data, 2019

2017
Interpretable decision-tree induction in a big data parallel framework.
Int. J. Appl. Math. Comput. Sci., 2017


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