Search

Mariegeorges A. Henry

Examiner (ID: 6968, Phone: (571)270-3226 , Office: P/2455 )

Most Active Art Unit
2455
Art Unit(s)
2155, 2455
Total Applications
632
Issued Applications
454
Pending Applications
61
Abandoned Applications
134

Applications

Application numberTitle of the applicationFiling DateStatus
Array ( [id] => 16888056 [patent_doc_number] => 20210174253 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2021-06-10 [patent_title] => ANALYSIS OF SYSTEM LOG DATA USING MACHINE LEARNING [patent_app_type] => utility [patent_app_number] => 17/061956 [patent_app_country] => US [patent_app_date] => 2020-10-02 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 9857 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 146 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17061956 [rel_patent_id] =>[rel_patent_doc_number] =>)
17/061956
ANALYSIS OF SYSTEM LOG DATA USING MACHINE LEARNING Oct 1, 2020 Abandoned
Array ( [id] => 18742223 [patent_doc_number] => 20230351205 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2023-11-02 [patent_title] => SCHEDULING FOR FEDERATED LEARNING [patent_app_type] => utility [patent_app_number] => 18/026207 [patent_app_country] => US [patent_app_date] => 2020-09-14 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 9434 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -18 [patent_words_short_claim] => 259 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 18026207 [rel_patent_id] =>[rel_patent_doc_number] =>)
18/026207
SCHEDULING FOR FEDERATED LEARNING Sep 13, 2020 Pending
Array ( [id] => 16543969 [patent_doc_number] => 20200410384 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2020-12-31 [patent_title] => HYBRID QUANTUM-CLASSICAL GENERATIVE MODELS FOR LEARNING DATA DISTRIBUTIONS [patent_app_type] => utility [patent_app_number] => 17/017102 [patent_app_country] => US [patent_app_date] => 2020-09-10 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 11255 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -12 [patent_words_short_claim] => 81 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17017102 [rel_patent_id] =>[rel_patent_doc_number] =>)
17/017102
HYBRID QUANTUM-CLASSICAL GENERATIVE MODELS FOR LEARNING DATA DISTRIBUTIONS Sep 9, 2020 Abandoned
Array ( [id] => 16714641 [patent_doc_number] => 20210081788 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2021-03-18 [patent_title] => METHOD AND APPARATUS FOR GENERATING SAMPLE DATA, AND NON-TRANSITORY COMPUTER-READABLE RECORDING MEDIUM [patent_app_type] => utility [patent_app_number] => 17/015560 [patent_app_country] => US [patent_app_date] => 2020-09-09 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 4990 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -8 [patent_words_short_claim] => 57 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17015560 [rel_patent_id] =>[rel_patent_doc_number] =>)
17/015560
METHOD AND APPARATUS FOR GENERATING SAMPLE DATA, AND NON-TRANSITORY COMPUTER-READABLE RECORDING MEDIUM Sep 8, 2020 Abandoned
Array ( [id] => 17462832 [patent_doc_number] => 20220076138 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2022-03-10 [patent_title] => COMPUTATION REDUCTION USING A DECISION TREE CLASSIFIER FOR FASTER NEURAL TRANSITION-BASED PARSING [patent_app_type] => utility [patent_app_number] => 17/014435 [patent_app_country] => US [patent_app_date] => 2020-09-08 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 7187 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -20 [patent_words_short_claim] => 114 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17014435 [rel_patent_id] =>[rel_patent_doc_number] =>)
17/014435
Computation reduction using a decision tree classifier for faster neural transition-based parsing Sep 7, 2020 Issued
Array ( [id] => 17129203 [patent_doc_number] => 20210303972 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2021-09-30 [patent_title] => METHOD AND APPARATUS WITH NEURAL NETWORK QUANTIZATION [patent_app_type] => utility [patent_app_number] => 17/012181 [patent_app_country] => US [patent_app_date] => 2020-09-04 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 13146 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -22 [patent_words_short_claim] => 123 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17012181 [rel_patent_id] =>[rel_patent_doc_number] =>)
17/012181
METHOD AND APPARATUS WITH NEURAL NETWORK QUANTIZATION Sep 3, 2020 Pending
Array ( [id] => 16691113 [patent_doc_number] => 20210073591 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2021-03-11 [patent_title] => ROBUSTNESS ESTIMATION METHOD, DATA PROCESSING METHOD, AND INFORMATION PROCESSING APPARATUS [patent_app_type] => utility [patent_app_number] => 17/012357 [patent_app_country] => US [patent_app_date] => 2020-09-04 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 14701 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -14 [patent_words_short_claim] => 141 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17012357 [rel_patent_id] =>[rel_patent_doc_number] =>)
17/012357
ROBUSTNESS ESTIMATION METHOD, DATA PROCESSING METHOD, AND INFORMATION PROCESSING APPARATUS Sep 3, 2020 Abandoned
Array ( [id] => 17447034 [patent_doc_number] => 20220067539 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2022-03-03 [patent_title] => KNOWLEDGE INDUCTION USING CORPUS EXPANSION [patent_app_type] => utility [patent_app_number] => 17/008856 [patent_app_country] => US [patent_app_date] => 2020-09-01 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 11596 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 143 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17008856 [rel_patent_id] =>[rel_patent_doc_number] =>)
17/008856
KNOWLEDGE INDUCTION USING CORPUS EXPANSION Aug 31, 2020 Abandoned
Array ( [id] => 19015381 [patent_doc_number] => 11922316 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2024-03-05 [patent_title] => Training a neural network using periodic sampling over model weights [patent_app_type] => utility [patent_app_number] => 16/993147 [patent_app_country] => US [patent_app_date] => 2020-08-13 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 27 [patent_figures_cnt] => 27 [patent_no_of_words] => 13131 [patent_no_of_claims] => 13 [patent_no_of_ind_claims] => 3 [patent_words_short_claim] => 263 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16993147 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/993147
Training a neural network using periodic sampling over model weights Aug 12, 2020 Issued
Array ( [id] => 16707482 [patent_doc_number] => 10957424 [patent_country] => US [patent_kind] => B1 [patent_issue_date] => 2021-03-23 [patent_title] => Neural network method of generating food formulas [patent_app_type] => utility [patent_app_number] => 16/989413 [patent_app_country] => US [patent_app_date] => 2020-08-10 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 5 [patent_figures_cnt] => 6 [patent_no_of_words] => 9740 [patent_no_of_claims] => 20 [patent_no_of_ind_claims] => 2 [patent_words_short_claim] => 279 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16989413 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/989413
Neural network method of generating food formulas Aug 9, 2020 Issued
Array ( [id] => 16637307 [patent_doc_number] => 10915818 [patent_country] => US [patent_kind] => B1 [patent_issue_date] => 2021-02-09 [patent_title] => Latent space method of generating food formulas [patent_app_type] => utility [patent_app_number] => 16/924006 [patent_app_country] => US [patent_app_date] => 2020-07-08 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 16 [patent_figures_cnt] => 22 [patent_no_of_words] => 11434 [patent_no_of_claims] => 20 [patent_no_of_ind_claims] => 2 [patent_words_short_claim] => 309 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16924006 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/924006
Latent space method of generating food formulas Jul 7, 2020 Issued
Array ( [id] => 16585217 [patent_doc_number] => 20210019619 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2021-01-21 [patent_title] => MACHINE LEARNABLE SYSTEM WITH CONDITIONAL NORMALIZING FLOW [patent_app_type] => utility [patent_app_number] => 16/919955 [patent_app_country] => US [patent_app_date] => 2020-07-02 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 11071 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -12 [patent_words_short_claim] => 116 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16919955 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/919955
MACHINE LEARNABLE SYSTEM WITH CONDITIONAL NORMALIZING FLOW Jul 1, 2020 Abandoned
Array ( [id] => 17276996 [patent_doc_number] => 20210383194 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2021-12-09 [patent_title] => USING NEGATIVE EVIDENCE TO PREDICT EVENT DATASETS [patent_app_type] => utility [patent_app_number] => 16/894970 [patent_app_country] => US [patent_app_date] => 2020-06-08 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 8874 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 123 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16894970 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/894970
USING NEGATIVE EVIDENCE TO PREDICT EVENT DATASETS Jun 7, 2020 Pending
Array ( [id] => 16401431 [patent_doc_number] => 20200342289 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2020-10-29 [patent_title] => RECURRENT ENVIRONMENT PREDICTORS [patent_app_type] => utility [patent_app_number] => 16/893565 [patent_app_country] => US [patent_app_date] => 2020-06-05 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 8012 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 180 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16893565 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/893565
Recurrent environment predictors Jun 4, 2020 Issued
Array ( [id] => 17614274 [patent_doc_number] => 20220156554 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2022-05-19 [patent_title] => Lightweight Decompositional Convolution Neural Network [patent_app_type] => utility [patent_app_number] => 17/594061 [patent_app_country] => US [patent_app_date] => 2020-06-03 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 20347 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -32 [patent_words_short_claim] => 75 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17594061 [rel_patent_id] =>[rel_patent_doc_number] =>)
17/594061
Lightweight Decompositional Convolution Neural Network Jun 2, 2020 Pending
Array ( [id] => 17231224 [patent_doc_number] => 20210357781 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2021-11-18 [patent_title] => EFFICIENT TECHNIQUES FOR DETERMINING THE BEST DATA IMPUTATION ALGORITHMS [patent_app_type] => utility [patent_app_number] => 16/875533 [patent_app_country] => US [patent_app_date] => 2020-05-15 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 11170 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 93 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16875533 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/875533
EFFICIENT TECHNIQUES FOR DETERMINING THE BEST DATA IMPUTATION ALGORITHMS May 14, 2020 Pending
Array ( [id] => 16935266 [patent_doc_number] => 20210201155 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2021-07-01 [patent_title] => INTELLIGENT CONTROL METHOD FOR DYNAMIC NEURAL NETWORK-BASED VARIABLE CYCLE ENGINE [patent_app_type] => utility [patent_app_number] => 16/981682 [patent_app_country] => US [patent_app_date] => 2020-02-28 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 4789 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => 0 [patent_words_short_claim] => 1628 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16981682 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/981682
Intelligent control method for dynamic neural network-based variable cycle engine Feb 27, 2020 Issued
Array ( [id] => 16209489 [patent_doc_number] => 20200242479 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2020-07-30 [patent_title] => LEARNING METHOD AND LEARNING DEVICE FOR GENERATING TRAINING DATA FROM VIRTUAL DATA ON VIRTUAL WORLD BY USING GENERATIVE ADVERSARIAL NETWORK, TO THEREBY REDUCE ANNOTATION COST REQUIRED IN TRAINING PROCESSES OF NEURAL NETWORK FOR AUTONOMOUS DRIVING, AND A TESTING METHOD AND A TESTING DEVICE USING THE SAME [patent_app_type] => utility [patent_app_number] => 16/731085 [patent_app_country] => US [patent_app_date] => 2019-12-31 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 8857 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -18 [patent_words_short_claim] => 362 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16731085 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/731085
Learning method and learning device for generating training data from virtual data on virtual world by using generative adversarial network, to thereby reduce annotation cost required in training processes of neural network for autonomous driving, and a testing method and a testing device using the same Dec 30, 2019 Issued
Array ( [id] => 16417279 [patent_doc_number] => 10825178 [patent_country] => US [patent_kind] => B1 [patent_issue_date] => 2020-11-03 [patent_title] => Apparatus for quality management of medical image interpretation using machine learning, and method thereof [patent_app_type] => utility [patent_app_number] => 16/707830 [patent_app_country] => US [patent_app_date] => 2019-12-09 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 13 [patent_figures_cnt] => 13 [patent_no_of_words] => 19302 [patent_no_of_claims] => 12 [patent_no_of_ind_claims] => 2 [patent_words_short_claim] => 334 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16707830 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/707830
Apparatus for quality management of medical image interpretation using machine learning, and method thereof Dec 8, 2019 Issued
Array ( [id] => 17269639 [patent_doc_number] => 11195067 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2021-12-07 [patent_title] => Systems and methods for machine learning-based site-specific threat modeling and threat detection [patent_app_type] => utility [patent_app_number] => 16/695538 [patent_app_country] => US [patent_app_date] => 2019-11-26 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 14 [patent_figures_cnt] => 14 [patent_no_of_words] => 12570 [patent_no_of_claims] => 14 [patent_no_of_ind_claims] => 2 [patent_words_short_claim] => 274 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16695538 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/695538
Systems and methods for machine learning-based site-specific threat modeling and threat detection Nov 25, 2019 Issued
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