Search

Luis A. Sitiriche

Examiner (ID: 15997, Phone: (571)270-1316 , Office: P/2122 )

Most Active Art Unit
2122
Art Unit(s)
2129, 2126, 2122
Total Applications
535
Issued Applications
396
Pending Applications
46
Abandoned Applications
104

Applications

Application numberTitle of the applicationFiling DateStatus
Array ( [id] => 20243239 [patent_doc_number] => 12423560 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2025-09-23 [patent_title] => Apparatus and methods for forward propagation in convolutional neural networks [patent_app_type] => utility [patent_app_number] => 16/709961 [patent_app_country] => US [patent_app_date] => 2019-12-11 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 6 [patent_figures_cnt] => 6 [patent_no_of_words] => 1150 [patent_no_of_claims] => 25 [patent_no_of_ind_claims] => 2 [patent_words_short_claim] => 241 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16709961 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/709961
Apparatus and methods for forward propagation in convolutional neural networks Dec 10, 2019 Issued
Array ( [id] => 20243261 [patent_doc_number] => 12423582 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2025-09-23 [patent_title] => Apparatus and methods for training in convolutional neural networks [patent_app_type] => utility [patent_app_number] => 16/709968 [patent_app_country] => US [patent_app_date] => 2019-12-11 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 7 [patent_figures_cnt] => 7 [patent_no_of_words] => 1902 [patent_no_of_claims] => 20 [patent_no_of_ind_claims] => 2 [patent_words_short_claim] => 275 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16709968 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/709968
Apparatus and methods for training in convolutional neural networks Dec 10, 2019 Issued
Array ( [id] => 15715929 [patent_doc_number] => 20200104732 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2020-04-02 [patent_title] => METHODS AND SYSTEM FOR MANAGING PREDICTIVE MODELS [patent_app_type] => utility [patent_app_number] => 16/700988 [patent_app_country] => US [patent_app_date] => 2019-12-02 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 5353 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 167 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16700988 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/700988
Methods and system for managing predictive models Dec 1, 2019 Issued
Array ( [id] => 20243274 [patent_doc_number] => 12423595 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2025-09-23 [patent_title] => Systems for time-series predictive data analytics, and related methods and apparatus [patent_app_type] => utility [patent_app_number] => 16/682813 [patent_app_country] => US [patent_app_date] => 2019-11-13 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 11 [patent_figures_cnt] => 12 [patent_no_of_words] => 47092 [patent_no_of_claims] => 26 [patent_no_of_ind_claims] => 3 [patent_words_short_claim] => 295 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16682813 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/682813
Systems for time-series predictive data analytics, and related methods and apparatus Nov 12, 2019 Issued
Array ( [id] => 18528038 [patent_doc_number] => 11715032 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2023-08-01 [patent_title] => Training a machine learning model using a batch based active learning approach [patent_app_type] => utility [patent_app_number] => 16/582928 [patent_app_country] => US [patent_app_date] => 2019-09-25 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 3 [patent_figures_cnt] => 3 [patent_no_of_words] => 5055 [patent_no_of_claims] => 20 [patent_no_of_ind_claims] => 2 [patent_words_short_claim] => 200 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16582928 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/582928
Training a machine learning model using a batch based active learning approach Sep 24, 2019 Issued
Array ( [id] => 16744790 [patent_doc_number] => 10969774 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2021-04-06 [patent_title] => Computer system and method for monitoring the technical state of industrial process systems [patent_app_type] => utility [patent_app_number] => 16/576832 [patent_app_country] => US [patent_app_date] => 2019-09-20 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 6 [patent_figures_cnt] => 9 [patent_no_of_words] => 9491 [patent_no_of_claims] => 14 [patent_no_of_ind_claims] => 3 [patent_words_short_claim] => 283 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16576832 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/576832
Computer system and method for monitoring the technical state of industrial process systems Sep 19, 2019 Issued
Array ( [id] => 19971702 [patent_doc_number] => 12340317 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2025-06-24 [patent_title] => Anomaly detection for non-stationary data [patent_app_type] => utility [patent_app_number] => 16/569181 [patent_app_country] => US [patent_app_date] => 2019-09-12 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 7 [patent_figures_cnt] => 7 [patent_no_of_words] => 2536 [patent_no_of_claims] => 17 [patent_no_of_ind_claims] => 3 [patent_words_short_claim] => 331 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16569181 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/569181
Anomaly detection for non-stationary data Sep 11, 2019 Issued
Array ( [id] => 16691193 [patent_doc_number] => 20210073671 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2021-03-11 [patent_title] => GENERATING COMBINED FEATURE EMBEDDING FOR MINORITY CLASS UPSAMPLING IN TRAINING MACHINE LEARNING MODELS WITH IMBALANCED SAMPLES [patent_app_type] => utility [patent_app_number] => 16/564531 [patent_app_country] => US [patent_app_date] => 2019-09-09 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 14849 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 102 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16564531 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/564531
Generating combined feature embedding for minority class upsampling in training machine learning models with imbalanced samples Sep 8, 2019 Issued
Array ( [id] => 15835887 [patent_doc_number] => 20200133226 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2020-04-30 [patent_title] => OUTPUT DEVICE, CONTROL DEVICE AND METHOD OF OUTPUTTING LEARNING PARAMETER [patent_app_type] => utility [patent_app_number] => 16/563116 [patent_app_country] => US [patent_app_date] => 2019-09-06 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 23219 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -9 [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] => 16563116 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/563116
OUTPUT DEVICE, CONTROL DEVICE AND METHOD OF OUTPUTTING LEARNING PARAMETER Sep 5, 2019 Abandoned
Array ( [id] => 15276311 [patent_doc_number] => 20190386890 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2019-12-19 [patent_title] => HYPERPARAMETER AND NETWORK TOPOLOGY SELECTION IN NETWORK DEMAND FORECASTING [patent_app_type] => utility [patent_app_number] => 16/553831 [patent_app_country] => US [patent_app_date] => 2019-08-28 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 10212 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -15 [patent_words_short_claim] => 163 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16553831 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/553831
Hyperparameter and network topology selection in network demand forecasting Aug 27, 2019 Issued
Array ( [id] => 18276398 [patent_doc_number] => 11615342 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2023-03-28 [patent_title] => Systems and methods for generating amplifier gain models using active learning [patent_app_type] => utility [patent_app_number] => 16/540883 [patent_app_country] => US [patent_app_date] => 2019-08-14 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 18 [patent_figures_cnt] => 18 [patent_no_of_words] => 17184 [patent_no_of_claims] => 15 [patent_no_of_ind_claims] => 2 [patent_words_short_claim] => 257 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16540883 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/540883
Systems and methods for generating amplifier gain models using active learning Aug 13, 2019 Issued
Array ( [id] => 19029244 [patent_doc_number] => 11928605 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2024-03-12 [patent_title] => Techniques for cyber-attack event log fabrication [patent_app_type] => utility [patent_app_number] => 16/532519 [patent_app_country] => US [patent_app_date] => 2019-08-06 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 7 [patent_figures_cnt] => 7 [patent_no_of_words] => 5730 [patent_no_of_claims] => 20 [patent_no_of_ind_claims] => 3 [patent_words_short_claim] => 206 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16532519 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/532519
Techniques for cyber-attack event log fabrication Aug 5, 2019 Issued
Array ( [id] => 16338589 [patent_doc_number] => 10789551 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2020-09-29 [patent_title] => Method for training and testing data embedding network to generate marked data by integrating original data with mark data, and training device and testing device using the same [patent_app_type] => utility [patent_app_number] => 16/513720 [patent_app_country] => US [patent_app_date] => 2019-07-17 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 5 [patent_figures_cnt] => 5 [patent_no_of_words] => 16812 [patent_no_of_claims] => 28 [patent_no_of_ind_claims] => 4 [patent_words_short_claim] => 361 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16513720 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/513720
Method for training and testing data embedding network to generate marked data by integrating original data with mark data, and training device and testing device using the same Jul 16, 2019 Issued
Array ( [id] => 16585189 [patent_doc_number] => 20210019591 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2021-01-21 [patent_title] => SYSTEM AND METHOD FOR PERFORMING SMALL CHANNEL COUNT CONVOLUTIONS IN ENERGY-EFFICIENT INPUT OPERAND STATIONARY ACCELERATOR [patent_app_type] => utility [patent_app_number] => 16/511544 [patent_app_country] => US [patent_app_date] => 2019-07-15 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 17003 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -18 [patent_words_short_claim] => 139 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16511544 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/511544
System and method for performing small channel count convolutions in energy-efficient input operand stationary accelerator Jul 14, 2019 Issued
Array ( [id] => 15091405 [patent_doc_number] => 20190340514 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2019-11-07 [patent_title] => SYSTEM AND METHOD FOR GENERATING ULTIMATE REASON CODES FOR COMPUTER MODELS [patent_app_type] => utility [patent_app_number] => 16/511743 [patent_app_country] => US [patent_app_date] => 2019-07-15 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 2295 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -12 [patent_words_short_claim] => 2 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16511743 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/511743
System and method for generating ultimate reason codes for computer models Jul 14, 2019 Issued
Array ( [id] => 15091453 [patent_doc_number] => 20190340538 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2019-11-07 [patent_title] => IDENTIFYING ENTITIES USING A DEEP-LEARNING MODEL [patent_app_type] => utility [patent_app_number] => 16/512128 [patent_app_country] => US [patent_app_date] => 2019-07-15 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 15824 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [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] => 16512128 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/512128
IDENTIFYING ENTITIES USING A DEEP-LEARNING MODEL Jul 14, 2019 Abandoned
Array ( [id] => 15983177 [patent_doc_number] => 10671922 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2020-06-02 [patent_title] => Batch renormalization layers [patent_app_type] => utility [patent_app_number] => 16/459057 [patent_app_country] => US [patent_app_date] => 2019-07-01 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 3 [patent_figures_cnt] => 3 [patent_no_of_words] => 8999 [patent_no_of_claims] => 26 [patent_no_of_ind_claims] => 4 [patent_words_short_claim] => 299 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16459057 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/459057
Batch renormalization layers Jun 30, 2019 Issued
Array ( [id] => 15350067 [patent_doc_number] => 20200012925 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2020-01-09 [patent_title] => NEUROMORPHIC SYSTEM AND OPERATING METHOD THEREOF [patent_app_type] => utility [patent_app_number] => 16/454881 [patent_app_country] => US [patent_app_date] => 2019-06-27 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 12692 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 87 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16454881 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/454881
Neuromorphic system and operating method thereof Jun 26, 2019 Issued
Array ( [id] => 19062275 [patent_doc_number] => 11941512 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2024-03-26 [patent_title] => Neural network engine utilizing a serial bus [patent_app_type] => utility [patent_app_number] => 16/453735 [patent_app_country] => US [patent_app_date] => 2019-06-26 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 8 [patent_figures_cnt] => 8 [patent_no_of_words] => 7350 [patent_no_of_claims] => 20 [patent_no_of_ind_claims] => 3 [patent_words_short_claim] => 175 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16453735 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/453735
Neural network engine utilizing a serial bus Jun 25, 2019 Issued
Array ( [id] => 15655089 [patent_doc_number] => 20200090075 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2020-03-19 [patent_title] => SYSTEMS AND TECHNIQUES FOR DETERMINING THE PREDICTIVE VALUE OF A FEATURE [patent_app_type] => utility [patent_app_number] => 16/447924 [patent_app_country] => US [patent_app_date] => 2019-06-20 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 37174 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 2 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16447924 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/447924
Systems and techniques for determining the predictive value of a feature Jun 19, 2019 Issued
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