Prosecution Insights
Prosecution Insights
Tech Center 4100 • Art Units: 2122 2145 2148 2177 3628 4100
This examiner grants 32% of resolved cases
Zelalem W. Shalu has handled 117 resolved cases in Art Unit 2122. The examiner maintains an allowance rate of 31.6 percent. This figure provides a baseline for applicants to understand the probability of a grant in Tech Center 4100. The data shows an interview lift of 20.4 percent. This lift represents the difference in allowance rates between cases with and without interviews. Practitioners should consider this 20.4 percent lift when deciding whether to engage in direct communication.
The median days to allowance for this examiner is 1315. This duration represents the timeline for reaching a final resolution for the 117 resolved cases. Applicants in Art Unit 2122 can use this 1315-day metric to plan their prosecution schedules. The 31.6 percent allowance rate indicates the frequency of grants for this profile. With an interview lift of 20.4 percent, the role of the interview is a documented factor in the examiner's history. These metrics provide a view of the prosecution environment for this profile in Tech Center 4100.
| App # | Title | Status | Assignee |
|---|---|---|---|
| 17689115 | METHOD OF GENERATING DEEP LEARNING MODEL AND COMPUTING DEVICE PERFORMING THE SAME | Non-Final OA | Samsung Electronics Co., Ltd. |
| 17969238 | DISTANCE-BASED PAIR LOSS FOR COLLABORATIVE FILTERING | Final Rejection | THE TORONTO-DOMINION BANK |
| 17922485 | LEARNING DEVICE, LEARNING METHOD, AND LEARNING PROGRAM | Final Rejection | NEC Corporation |
| 17281444 | File Transfer Method and Electronic Device | Final Rejection | Huawei Technologies Co., Ltd. |
| 18548135 | DEVICE AND METHOD FOR TRAINING A MACHINE LEARNING SYSTEM FOR DENOISING AN INPUT SIGNAL | Non-Final OA | Robert Bosch GmbH |
| 18059277 | ADJUSTMENT OF TRAINING DATA SETS FOR FAIRNESS-AWARE ARTIFICIAL INTELLIGENCE MODELS | Non-Final OA | PAYPAL, INC. |
| 17721993 | OPTIMIZING TRAINING DATA GENERATION FROM REAL-TIME PREDICTION SYSTEMS FOR INTELLIGENT MODEL TRAINING | Final Rejection | PAYPAL, INC. |
| 17673377 | TIERED INPUT STRUCTURES FOR MACHINE LEARNING MODELS | Final Rejection | PAYPAL, INC. |
| 17232671 | DATASET-FREE, APPROXIMATE MARGINAL PERTURBATION-BASED FEATURE ATTRIBUTIONS | Non-Final OA | Oracle International Corporation |
| 18403095 | AUTOMATED CONTROL FOR A PHYSICAL SYSTEM WITH GENERIC FORECASTING MODELS | Non-Final OA | International Business Machines Corporation |
| 18175006 | PERSONALIZED FEDERATED LEARNING OF GRADIENT BOOSTED TREES | Non-Final OA | International Business Machines Corporation |
| 17171365 | MACHINE-LEARNING SYSTEMS FOR SIMULATING COLLABORATIVE BEHAVIOR BY INTERACTING USERS WITHIN A GROUP | Final Rejection | Adobe Inc. |
| 18359643 | FEATURE MANAGEMENT | Final Rejection | Lemon Inc. |
| 18558191 | ESTIMATION DEVICE, ESTIMATION METHOD, PROGRAM, AND LEARNING MODEL GENERATION DEVICE | Non-Final OA | BRIDGESTONE CORPORATION |
| 16110103 | CROWDSOURCED TRAINING FOR COMMANDS MATCHING | Final Rejection | Peloton Interactive, Inc. |
| 18405500 | OVERCOMING TECHNICAL CHALLANGES OF WORKING IN A VERY HIGH DIMENSIONAL SPACE | Non-Final OA | AUTOBRAINS TECHNOLOGIES LTD |
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