Scott Michael Zoldi

This inventor holds 96 USPTO granted patents and 30 published patent applications, plus 1 CIPO patent and 8 EPO patents, primarily in Machine Learning Models (CPC class G06Q20-4016). Top assignees: Fair Isaac Corporation, Other. Active years: 2003-2026.

USPTO Granted Patents = 96 (Patent Applications = 30)

% Patents Active = 96.9

CIPO Patents = 1 (Patent Applications = 1)

EPO Patents = 8 (Patent Applications = 23)

Average Co-Inventor Count = 2.4

ph-index = 25

Forward Citations = 3,184(Granted Patents)

Forward Citations (Not Self Cited) = 2,933(Dec 10, 2025)

Inventors with similar research interests:

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Company Filing History:

91 out of 277

Fair Isaac Corporation

patents

5 out of 834,411

Other

patents

Years Active: 2003-2026

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Areas of Expertise:

Machine Learning

Model Explanations

Synthetic Data

Uncertainty Quantification

Bias Analysis

Neural Networks

Fraud Detection

Data Governance

Dynamic Customer Data

Real-Time Analytics

Adversarial Learning

Predictive Algorithms

96 patents (USPTO):Sort by Forward CitationsExplore Patents

1. 12743601 - Latent feature based model bias mitigation in artificial intelligence systems (2026-09-22),

2. 12657489 - Temporal explanations of machine learning model outcomes (2026-06-16),

3. 12585996 - Explanatory dropout for machine learning models (2026-03-24),

4. 12585630 - Method and apparatus for analyzing coverage, bias, and model explanations in large dimensional modeling data (2026-03-24),

5. 12530600 - Synthetic data generation for machine learning models (2026-01-20),

6. 12511298 - Fast automatic explanation of scored observations (2025-12-30),

7. 12489646 - Blockchain-based model governance and auditable monitoring of machine learning models (2025-12-02),

8. 12475354 - Constrained designed and guided latent feature space contributions to machine learning models (2025-11-18),

9. 12468986 - Rank distillation for training supervised machine learning models (2025-11-11),

10. 12443843 - Machine learning uncertainty quantification and modification (2025-10-14),

11. 12437209 - Method for real-time enhancement of a predictive algorithm by a novel measurement of concept drift using algorithmically-generated features (2025-10-07),

12. 12423569 - Training artificial neural networks with constraints (2025-09-23),

13. 12393877 - Attributing reasons to predictive model scores with local mutual information (2025-08-19),

14. 12367587 - Segmentation using zero value features in machine learning (2025-07-22),

15. 12323440 - Overly optimistic data patterns and learned adversarial latent features (2025-06-03),

Title: Scott Michael Zoldi: A Prolific Inventor Revolutionizing Explainability and Data Usage Rights

Introduction:

In the world of innovations and patents, Scott Michael Zoldi stands not only as a prolific inventor but also as a visionary paving the way for advancements in explainability of observations and data usage rights. With 75 patents to his name and a track record of groundbreaking ideas, Zoldi has secured his position as a leading figure in the field.

Scott Michael Zoldi's Latest Patents:

Among Zoldi's most recent patents is a revolutionary invention titled "Fast Automatic Explanation of Scored Observations." This patent introduces systems and methods that strike a balance between rank-ordering performance and explainability of scored observations. Grounded in a framework of partial dependence functions, multi-layered neural networks, and Latent Explanations Neural Network Scoring, Zoldi's innovation provides concise and efficient explanations of scored observations.

Another significant contribution by Zoldi is the patent for "Building Resilient Models to Address Dynamic Customer Data Use Rights." This invention focuses on constructing an improved computing model that preserves the usage rights of data utilized by the model. By accessing and sampling datasets, discretizing vectors, and computing coverage depletion, Zoldi ensures the model's adaptability even after usage rights termination, enabling organizations to navigate the dynamic landscape of data usage.

Companies and Colleagues:

Throughout his illustrious career, Scott Michael Zoldi has made remarkable contributions within various organizations. One notable affiliation is with Fair Isaac Corporation (FICO). FICO, a renowned analytics software company, has leveraged Zoldi's expertise to drive innovation in predictive analytics and decision management.

Zoldi has also collaborated with esteemed colleagues, including Shafi Ur-Rahman and Steven Wu. Their synergy has led to remarkable breakthroughs, fostering ideas that reshape the boundaries of explainability and data usage rights.

Conclusion:

Scott Michael Zoldi's impact on the field of innovations and patents is undeniable. With 75 patents to his name, his inventions have revolutionized the way we approach the explainability of observations and navigate data usage rights challenges. Through collaborations with industry leaders like Fair Isaac Corporation and the collaboration of talented colleagues, Zoldi continues to push the boundaries of possibility, leaving a lasting imprint on the world of technology and advancements.