Listed by the USPTO as FACCENDA, GISEL GABRIELA
Tech Center 2100 • Art Units: 2127
This examiner grants 52% of resolved cases
FACCENDA, GISEL GABRIELA is assigned to technology center 2100 and art unit 2127. The record covers 25 resolved cases, a 52.0% allowance rate, a 44.2% interview lift, and a median of 1480 days to allowance. The allowance result is nearly divided, while the interview measure is strongly positive. The limited case volume requires caution when using these figures for forecasting.
The listed companies are International Business Machines Corporation, Capital One Services LLC, and NEC Corporation. The principal firms are Artegis Law Group, LLP, CHIP LAW GROUP, and Foley & Lardner LLP. An interview-centered response strategy may be worth considering where claim issues remain disputed. The median timing also indicates that applicants should prepare clients for extended prosecution and preserve meaningful fallback positions.
| App # | Title | Status | Assignee |
|---|---|---|---|
| 17939042 | TREE-BASED SYSTEMS AND METHODS FOR SELECTING AND REDUCING GRAPH NEURAL NETWORK NODE EMBEDDING DIMENSIONALITY | Non-Final OA | Capital One Services, LLC |
| 18268664 | LEARNING DEVICE, LEARNING METHOD, AND LEARNING PROGRAM | Non-Final OA | NEC Corporation |
| 17173460 | SYSTEMS AND METHODS FOR REINFORCED HYBRID ATTENTION FOR MOTION FORECASTING | Final Rejection | Honda Motor Co., Ltd. |
| 18739788 | DATA GENERATION METHOD, MACHINE LEARNING METHOD, INFORMATION PROCESSING APPARATUS, NON-TRANSITORY COMPUTER-READABLE RECORDING MEDIUM STORING DATA GENERATION PROGRAM, AND NON-TRANSITORY COMPUTER-READABLE RECORDING MEDIUM STORING MACHINE LEARNING PROGRAM | Non-Final OA | Fujitsu Limited |
| 17590249 | Method, System, and Computer Program Product for Multi-Task Learning in Deep Neural Networks | Non-Final OA | Visa International Service Association |
| 17658070 | MACHINE LEARNING TECHNIQUES FOR EXTRACTING INTERPRETABILITY DATA AND ENTITY-VALUE PAIRS | Final Rejection | Optum, Inc. |
| 17951587 | TRAINING NEURAL NETWORKS WITH CONVERGENCE TO A GLOBAL MINIMUM | Final Rejection | International Business Machines Corporation |
| 17351628 | MODEL-AWARE DATA TRANSFER AND STORAGE | Non-Final OA | INTERNATIONAL BUSINESS MACHINES CORPORATION |
| 17552050 | MACHINE LEARNING VIA DIFFERENTIABLE SIMULATION | Non-Final OA | NVIDIA Corporation |
| 18718409 | MACHINE-LEARNING APPARATUS AND METHOD FOR IMPLEMENTING ARTIFICIAL INTELLIGENCE EDGE DEVICE BY USING RESISTIVE ELEMENTS, AND ANALYSIS APPARATUS AND METHOD USING SAME | Non-Final OA | POSTECH ACADEMY-INDUSTRY FOUNDATION |
| 17523567 | SYSTEMS AND METHODS FOR PREDICTING BUILDING FAULTS USING MACHINE LEARNING | Final Rejection | Johnson Controls Tyco IP Holdings LLP |
| 17162601 | FAULT CRITICALITY ASSESSMENT USING GRAPH CONVOLUTIONAL NETWORKS | Final Rejection | Duke University |
IP Author analyzes examiner patterns and generates tailored response strategies with the highest chance of allowance.
Build Your Strategy52.0% of resolved applications examined by Gisel Gabriela Faccenda were allowed (25 resolved cases), compared with 46.8% across Art Unit 2127 over the last five years.
This examiner's interview lift is +44.2 percentage points: the difference in allowance rate between resolved applications that had an examiner interview and those that did not.
Applications allowed by Gisel Gabriela Faccenda took 1,480 days on average from filing to allowance.
Gisel Gabriela Faccenda examines applications in Art Unit 2127 in Tech Center 2100 (Computing & Software).
