ML trading signal classifiers using XGBoost and LightGBM with walk-forward validation, SHAP feature importance, and threshold optimization
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ML trading signal classifiers using XGBoost and LightGBM with walk-forward validation, SHAP feature importance, and threshold optimization
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Daily temperature high/low bracket and threshold contracts on Kalshi — contract structure, forecast→P(YES) map, settlement rules, cross-venue divergences, and weather-specific pitfalls
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Comprehensive truth scoring, code quality verification, and automatic rollback system with 0.95 accuracy threshold for ensuring high-quality agent outputs and codebase reliability.
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Python image processing for microscopy and bioimage analysis. Read/write images, filter (Gaussian, median, LoG), segment (thresholding, watershed, active contours), measure region properties, detect features. SciPy/NumPy ecosystem. Use OpenCV for real-time video; CellPose for DL cell segmentation; napari for visualization.
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Register, segment, filter, resample 3D medical images (MRI, CT, microscopy) via SimpleITK Python; DICOM, NIfTI, multi-modal. Rigid/affine/deformable registration, threshold/region-growing segmentation, Gaussian/morph filtering, label stats, format conversion. Use to align volumes across timepoints/modalities, segment fluorescence, or convert DICOM→NIfTI.
日本語の概要は準備中です。原文の説明を表示しています。
Comprehensive truth scoring, code quality verification, and automatic rollback system with 0.95 accuracy threshold for ensuring high-quality agent outputs and codebase reliability.
日本語の概要は準備中です。原文の説明を表示しています。
Assess construction data quality using completeness, accuracy, consistency, timeliness, and validity metrics. Automated validation with regex patterns, thresholds, and reporting.
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Provides weighted scoring, rubrics, and decision-threshold patterns. Use when designing quality gates, evaluation systems, or decision frameworks.
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Defines testing quality metrics, coverage thresholds, and anti-patterns. Use when establishing test gates or validating a test suite's coverage targets.
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Wire a System One model (Jev, or an open reproduction like Von) into a product feature — routing, guardrails, scoring, classification. Use when replacing an LLM call that returns a label rather than prose, when adding a typed decision to an agent loop, or when deciding between the hosted Jev API and a local open model. Covers question design, the eval-set-first workflow, threshold calibration, confidence gates, and the traps measured on real data.
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Builds a custom lead scoring model for a business. Takes ICP definition, historical win/loss data, CRM export. Analyzes which attributes correlate with closed-won deals. Generates lead-scoring-model.md with scoring dimensions, point values, thresholds, CRM implementation guide, and validation methodology. Can also score a batch of current leads against the model.
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Prompt engineering regression test matrix register: baseline outputs, semantic drift thresholds, judge evaluations, and golden dataset.
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Implement privacy-preserving record linkage across datasets using Bloom filter encoding, secure hash matching, threshold tuning for precision and recall, and false positive management. Enables entity resolution without exposing raw personally identifiable information between parties.
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Kentucky Consumer Privacy Protection Act (KPPA) compliance. Effective January 1, 2026. Covers consumer rights, controller thresholds at 100,000 consumers, sensitive data processing consent, cure period provisions, and AG enforcement framework.
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Guide for managing consent for children's personal data under GDPR Article 8 and COPPA. Covers parental consent mechanisms, age verification methods, country-specific age thresholds (ranging from 13 to 16), parental authorization workflows, and age-appropriate design per the UK ICO Children's Code.
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Implements HIPAA breach notification requirements under 45 CFR §164.400-414. Covers individual notification within 60 days, HHS reporting thresholds (500+ immediate, under 500 annual), state attorney general notification, media notification for 500+ in a state, and breach risk assessment. Keywords: HIPAA breach notification, HHS reporting, OCR breach portal, individual notice, state attorney general.
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Iowa Consumer Data Protection Act (ICDPA) compliance. Effective January 1, 2025. Covers consumer rights (access, delete, opt-out), controller thresholds at 100,000 consumers, sensitive data opt-in consent, 90-day cure period, and AG-only enforcement. Iowa Code Chapter 715D.
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Delaware Personal Data Privacy Act (DPPA) compliance implementation. Covers consumer rights (access, correct, delete, portability, opt-out), controller obligations, processor requirements, sensitive data consent, universal opt-out recognition, DPIA requirements, and AG enforcement. Effective January 1, 2025, with no revenue threshold for applicability.
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Provides a structured risk scoring methodology for Data Protection Impact Assessments aligned with ENISA threat taxonomy and ISO 29134. Covers likelihood and severity assessment, risk matrix construction, inherent vs residual risk calculation, and risk appetite thresholds per EDPB WP248rev.01 guidance. Keywords: risk scoring, DPIA risk matrix, likelihood, severity, ENISA, ISO 29134, residual risk, risk appetite.
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Manages direct communication to affected data subjects following a personal data breach under GDPR Article 34 when the breach is likely to result in a high risk to their rights and freedoms. Covers the high risk threshold, required notification content per Art. 34(2), exemptions under Art. 34(3), and breach notification letter templates for five scenarios. Keywords: data subject notification, Article 34, high risk, breach communication, GDPR.
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Determines whether a personal data breach triggers notification obligations under GDPR Articles 33 and 34 using structured risk assessment methodology. Covers breach type classification (CIA triad), data sensitivity scoring, volume assessment, identifiability analysis, and consequence severity evaluation. References EDPB Guidelines 01/2021 with 18 breach scenarios. Keywords: breach risk assessment, GDPR, Article 33, Article 34, EDPB, notification threshold.
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Executes the GDPR Article 33 mandatory breach notification to the supervisory authority within 72 hours of becoming aware of a personal data breach. Covers required notification content, deadline calculation, risk assessment for notification threshold, and DPO involvement. Keywords: GDPR, Article 33, breach notification, 72 hours, supervisory authority, DPO, EDPB.
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Create original short videos using the 第一视角探险|穿越后巡检 Creative DNA for MiniMax H3 or Seedance 2.0. Use when the user wants this causal, camera, motion, rhythm, or payoff structure with new subjects and surfaces.
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Create original short videos using the 错过阈值转向|急行路线、离站证据与新方向 Creative DNA for MiniMax H3 or Seedance 2.0. Use when the user wants this causal, camera, motion, rhythm, or payoff structure with new subjects and surfaces.
日本語の概要は準備中です。原文の説明を表示しています。