Listed by the USPTO as TRAN, DANIEL DUC
Tech Center 2100 • Art Units: 2145 2147
This examiner grants 0% of resolved cases
TRAN, DANIEL DUC is assigned to tech center 2100 and art unit 2145. The profile contains 6 resolved cases, with a 0.0% allowance rate and a 0.0% interview lift. The median time to allowance is 1289 days. Because the resolved-case record is very limited, these outcome measures should be treated as an early and narrow signal rather than a broad forecast.
The principal companies are The Toronto-dominion Bank, Qualcomm Incorporated, and Capital One Services LLC. The listed firms are 24IP LAW GROUP USA, PLLC, Bookoff McAndrews, PLLC, and CALDWELL LLC. Practitioners can use the participant mix to identify the profile's financial-services and communications context while avoiding strong conclusions from the small record.
| App # | Title | Status | Assignee |
|---|---|---|---|
| 18158025 | SYSTEMS AND METHODS FOR LABEL PROPAGATION USING SUPERVISED PROJECTIONS OF SEMANTIC EMBEDDINGS | Final Rejection | Capital One Services, LLC |
| 18833128 | Method and Device Allowing Identification of Systematic Errors in a Data-Based System Model | Non-Final OA | Robert Bosch GmbH |
| 18534502 | SYSTEM AND METHOD OF REGRESSION BASED MACHINE LEARNING MODELS FOR PREDICTIVE INSIGHTS | Non-Final OA | THE TORONTO-DOMINION BANK |
| 18135819 | SIMPLICIAL HUMAN-INSPIRED PATTERN IDENTIFICATION | Final Rejection | Bank of America Corporation |
| 18179629 | NEURAL NETWORK MODEL PARTITIONING IN A WIRELESS COMMUNICATION SYSTEM | Final Rejection | QUALCOMM Incorporated |
| 18153687 | FEDERATED LEARNING WITH TRAINING METADATA | Final Rejection | QUALCOMM Incorporated |
| 17645539 | Action-Actor Detection with Graph Neural Networks from Spatiotemporal Tracking Data | Non-Final OA | STATS LLC |
| 18583240 | METHOD FOR PREDICTING SEAWATER INTRUSION INDEX WITH MULTIPLE PARAMETERS IN GROUNDWATER FOR SUSTAINABLE GROUNDWATER MANAGEMENT | Non-Final OA | KING FAHD UNIVERSITY OF PETROLEUM AND MINERALS |
| 16981246 | AUTOMATED MACHINE LEARNING SYSTEMS AND METHODS | Non-Final OA | Visa International Service Association |
| 18616930 | FINE-TUNING VISION LANGAUGE MODELS WITH UNPAIRED DATA | Non-Final OA | NEC Laboratories America, Inc. |
| 17729187 | SOCIAL NETWORK INITIATED LISTINGS | Non-Final OA | eBay Inc. |
| 17454909 | INDENTIFYING RELEVANT GRAPH PATTERNS IN A KNOWLEDGE GRAPH BACKGROUND | Non-Final OA | INTERNATIONAL BUSINESS MACHINES CORPORATION |
| 18731069 | VECTOR CLUSTERED QUANTIZATION | Non-Final OA | NVIDIA Corporation |
| 18336511 | Improved Training Set Selection for Semi-Supervised Learning | Final Rejection | ServiceNow, Inc. |
| 18740772 | PARAMETER-EFFICIENT NEURAL NETWORK MODEL ADAPTATION AND INFERENCE VIA MATRIX SHARING | Non-Final OA | Adobe Inc. |
| 17937860 | METHOD AND SYSTEM FOR FORECASTING NON-STATIONARY TIME-SERIES | Final Rejection | SigmaStream LLC |
IP Author analyzes examiner patterns and generates tailored response strategies with the highest chance of allowance.
Build Your Strategy0.0% of resolved applications examined by Daniel Duc Tran were allowed (6 resolved cases), compared with 52.6% across Art Unit 2145 over the last five years.
This examiner's interview lift is +0.0 percentage points: the difference in allowance rate between resolved applications that had an examiner interview and those that did not.
Applications allowed by Daniel Duc Tran took 1,289 days on average from filing to allowance.
Daniel Duc Tran examines applications in Art Unit 2145 in Tech Center 2100 (Computing & Software).
