Listed by the USPTO as SESAY, HASSAN RAMADAN
Tech Center 2100 • Art Units: 2146
This examiner grants 0% of resolved cases
SESAY, HASSAN RAMADAN is assigned to Tech Center 2100 and art unit 2146. The profile contains 1 resolved case, a 0.0% allowance rate, and a 0.0% interview lift. The median time to allowance is 1077 days. Because the resolved-case record contains only a single case, these figures provide very limited evidence of an established examination pattern.
The listed companies are Capital One Services LLC, Samsung Electronics Co., Ltd., and Toyota Motor Corporation. The listed firms are FOLEY & LARDNER LLP, OBLON, MCCLELLAND, MAIER & NEUSTADT, L.L.P., and Seed Intellectual Property Law Group LLP. Practitioners should avoid drawing broad strategic conclusions until more prosecution history is available.
| App # | Title | Status | Assignee |
|---|---|---|---|
| 18443165 | UPDATING TRANSFORMER MACHINE LEARNING MODELS TO ACCOUNT FOR RELATIVE TIMING | Non-Final OA | Capital One Services, LLC |
| 18526818 | ELECTRONIC APPARATUS AND CONTROLLING METHOD THEREOF | Non-Final OA | SAMSUNG ELECTRONICS CO., LTD. |
| 18606730 | SYSTEMS AND METHODS FOR BALANCED CLIENT SELECTION FOR DECENTRALIZED MACHINE LEARNING WITH NON-IID DATA | Non-Final OA | TOYOTA MOTOR ENGINEERING & MANUFACTURING NORTH AMERICA, INC. |
| 18634309 | System and method for mitigating biases in a machine learning model during post-processing | Non-Final OA | Bank of America Corporation |
| 18566795 | LEARNING METHOD | Non-Final OA | NEC Corporation |
| 18592012 | INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING METHOD, AND COMPUTER PROGRAM PRODUCT | Non-Final OA | TOSHIBA ELECTRONIC DEVICES & STORAGE CORPORATION |
| 18384634 | SYSTEMS, METHODS, AND NON-TRANSITORY COMPUTER-READABLE STORAGE DEVICES FOR TRAINING DEEP LEARNING AND NEURAL NETWORK MODELS USING OVERFITTING DETECTION AND PREVENTION | Non-Final OA | HUAWEI TECHNOLOGIES CO., LTD. |
| 18217612 | COMPUTER-READABLE RECORDING MEDIUM STORING RULE FORMATION SUPPORT PROGRAM, RULE FORMATION SUPPORT METHOD, AND RULE FORMATION SUPPORT APPARATUS | Non-Final OA | Fujitsu Limited |
| 18666088 | STRUCTURE LEARNING IN GNNS FOR MEDICAL DECISION MAKING USING TASK-RELEVANT GRAPH REFINEMENT | Non-Final OA | NEC Laboratories America, Inc. |
| 18216700 | INTENT SUGGESTION RECOMMENDATION FOR ARTIFICIAL INTELLIGENCE SYSTEMS | Final Rejection | International Business Machines Corporation |
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 Hassan Ramadan Sesay were allowed (1 resolved cases), compared with 71.7% across Art Unit 2146 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 Hassan Ramadan Sesay took 1,077 days on average from filing to allowance.
Hassan Ramadan Sesay examines applications in Art Unit 2146 in Tech Center 2100 (Computing & Software).
