Tech Center 4100 • Art Units: 2100 2122 2126 2129 4100
This examiner grants 78% of resolved cases
Luis A Sitiriche serves in Art Unit 2100 under Tech Center 4100. Across 478 resolved cases, the examiner maintains an allowance rate of 77.8%. This high rate suggests a strong probability of securing a patent grant. The interview lift of 21.3% indicates that verbal communication is a valuable strategy for overcoming rejections. The median days to allowance is 1321.
With a 77.8% allowance rate, practitioners can expect a generally positive outcome in Art Unit 2100. The 21.3% interview lift is a useful tool for resolving outstanding issues. Across 478 resolved cases, the examiner has established a consistent approach in Tech Center 4100. The 1321-day median pendency is a key factor for applicants to consider. Strategy should leverage both the 77.8% grant probability and the 21.3% lift to ensure a successful prosecution within the 1321-day timeline.
| App # | Title | Status | Assignee |
|---|---|---|---|
| 18233674 | SUPERVISED MACHINE LEARNING FOR AUTOMATED ASSISTANTS | Non-Final OA | Teachers Insurance and Annuity Association of America |
| 17842662 | SYSTEM AND METHOD FOR SCALABLE, INTERACTIVE, COLLABORATIVE TOPIC IDENTIFICATION AND TRACKING | Non-Final OA | Capital One Services, LLC |
| 17837358 | AUTOMATIC RULE INDUCTION FOR SEMI-SUPERVISED TEXT CLASSIFICATION | Final Rejection | MICROSOFT TECHNOLOGY LICENSING, LLC |
| 18494120 | MULTI-LEG NEURAL NETWORK HAVING TRANSFER LEARNING | Non-Final OA | International Business Machines Corporation |
| 18048610 | INTELLIGENT DEVICE DATA FILTER FOR MACHINE LEARNING | Final Rejection | INTERNATIONAL BUSINESS MACHINES CORPORATION |
| 17450709 | FEDERATED LEARNING MODEL LINEAGE | Final Rejection | International Business Machines Corporation |
| 17122598 | TECHNIQUES FOR OPTIMIZING NEURAL NETWORKS | Non-Final OA | NVIDIA Corporation |
| 18435668 | CLIENT SELECTION FOR ASYNCHRONOUS FEDERATED LEARNING | Non-Final OA | Cisco Technology, Inc. |
| 17868267 | SYSTEM AND METHOD FOR TEST-TIME ADAPTATION VIA CONJUGATE PSEUDOLABELS | Final Rejection | Carnegie Mellon University |
| 18391182 | AUTOMATED POSITIVE TRAIN CONTROL EVENT DATA EXTRACTION AND ANALYSIS ENGINE FOR PERFORMING ROOT CAUSE ANALYSIS OF UNSTRUCTURED DATA | Non-Final OA | BNSF Railway Company |
| 17383860 | SUPERLOSS: A GENERIC LOSS FOR ROBUST CURRICULUM LEARNING | Non-Final OA | NAVER CORPORATION |
| 18528477 | SYSTEM AND METHOD FOR SELF-HEALING IN DECENTRALIZED MODEL BUILDING FOR MACHINE LEARNING USING BLOCKCHAIN | Non-Final OA | HEWLETT PACKARD ENTERPRISE DEVELOPMENT LP |
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