Search

Albert Decady

Supervisory Patent Examiner (ID: 6172, Phone: (571)272-3819 , Office: P/2112 )

Most Active Art Unit
2413
Art Unit(s)
2112, 2785, 2413, 2784, 2313, 2121, 2133
Total Applications
532
Issued Applications
390
Pending Applications
30
Abandoned Applications
112

Applications

Application numberTitle of the applicationFiling DateStatus
Array ( [id] => 16714659 [patent_doc_number] => 20210081806 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2021-03-18 [patent_title] => USING A RUNTIME ENGINE TO FACILITATE DYNAMIC ADAPTATION OF DEEP NEURAL NETWORKS FOR EFFICIENT PROCESSING [patent_app_type] => utility [patent_app_number] => 17/016889 [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] => 12520 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -19 [patent_words_short_claim] => 76 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17016889 [rel_patent_id] =>[rel_patent_doc_number] =>)
17/016889
USING A RUNTIME ENGINE TO FACILITATE DYNAMIC ADAPTATION OF DEEP NEURAL NETWORKS FOR EFFICIENT PROCESSING Sep 9, 2020 Abandoned
Array ( [id] => 19740308 [patent_doc_number] => 12217144 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2025-02-04 [patent_title] => Machine-learned state space model for joint forecasting [patent_app_type] => utility [patent_app_number] => 17/008338 [patent_app_country] => US [patent_app_date] => 2020-08-31 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 6 [patent_figures_cnt] => 6 [patent_no_of_words] => 9641 [patent_no_of_claims] => 20 [patent_no_of_ind_claims] => 2 [patent_words_short_claim] => 258 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17008338 [rel_patent_id] =>[rel_patent_doc_number] =>)
17/008338
Machine-learned state space model for joint forecasting Aug 30, 2020 Issued
Array ( [id] => 17786940 [patent_doc_number] => 11410066 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2022-08-09 [patent_title] => Send time optimization for electronic communications campaign [patent_app_type] => utility [patent_app_number] => 17/005141 [patent_app_country] => US [patent_app_date] => 2020-08-27 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 6 [patent_figures_cnt] => 6 [patent_no_of_words] => 4672 [patent_no_of_claims] => 29 [patent_no_of_ind_claims] => 4 [patent_words_short_claim] => 324 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17005141 [rel_patent_id] =>[rel_patent_doc_number] =>)
17/005141
Send time optimization for electronic communications campaign Aug 26, 2020 Issued
Array ( [id] => 17173026 [patent_doc_number] => 20210326697 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2021-10-21 [patent_title] => CONVOLUTION OPERATION MODULE AND METHOD AND A CONVOLUTIONAL NEURAL NETWORK THEREOF [patent_app_type] => utility [patent_app_number] => 17/004668 [patent_app_country] => US [patent_app_date] => 2020-08-27 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 5781 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -13 [patent_words_short_claim] => 112 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17004668 [rel_patent_id] =>[rel_patent_doc_number] =>)
17/004668
CONVOLUTION OPERATION MODULE AND METHOD AND A CONVOLUTIONAL NEURAL NETWORK THEREOF Aug 26, 2020 Abandoned
Array ( [id] => 17446918 [patent_doc_number] => 20220067423 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2022-03-03 [patent_title] => METHOD AND SYSTEM FOR PROVIDING AND APPLYING A UNIFIED DECODING EFFICIENCY SCORE WITH FOCUS ON ENVIRONMENTAL IMPACT [patent_app_type] => utility [patent_app_number] => 17/003700 [patent_app_country] => US [patent_app_date] => 2020-08-26 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 11215 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 88 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17003700 [rel_patent_id] =>[rel_patent_doc_number] =>)
17/003700
METHOD AND SYSTEM FOR PROVIDING AND APPLYING A UNIFIED DECODING EFFICIENCY SCORE WITH FOCUS ON ENVIRONMENTAL IMPACT Aug 25, 2020 Abandoned
Array ( [id] => 16722726 [patent_doc_number] => 20210089873 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2021-03-25 [patent_title] => APPARATUS AND SYSTEM FOR EXECUTION OF NEURAL NETWORK [patent_app_type] => utility [patent_app_number] => 17/003707 [patent_app_country] => US [patent_app_date] => 2020-08-26 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 10903 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 85 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17003707 [rel_patent_id] =>[rel_patent_doc_number] =>)
17/003707
APPARATUS AND SYSTEM FOR EXECUTION OF NEURAL NETWORK Aug 25, 2020 Pending
Array ( [id] => 16486758 [patent_doc_number] => 20200380365 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2020-12-03 [patent_title] => LEARNING APPARATUS, METHOD, AND PROGRAM [patent_app_type] => utility [patent_app_number] => 16/999081 [patent_app_country] => US [patent_app_date] => 2020-08-21 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 5326 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -15 [patent_words_short_claim] => 108 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16999081 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/999081
LEARNING APPARATUS, METHOD, AND PROGRAM Aug 20, 2020 Abandoned
Array ( [id] => 16659490 [patent_doc_number] => 20210056127 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2021-02-25 [patent_title] => METHOD FOR MULTI-MODAL RETRIEVAL AND CLUSTERING USING DEEP CCA AND ACTIVE PAIRWISE QUERIES [patent_app_type] => utility [patent_app_number] => 16/996110 [patent_app_country] => US [patent_app_date] => 2020-08-18 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 8158 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 154 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16996110 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/996110
METHOD FOR MULTI-MODAL RETRIEVAL AND CLUSTERING USING DEEP CCA AND ACTIVE PAIRWISE QUERIES Aug 17, 2020 Abandoned
Array ( [id] => 19732974 [patent_doc_number] => 12210973 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2025-01-28 [patent_title] => Compressing neural networks for natural language understanding [patent_app_type] => utility [patent_app_number] => 16/938098 [patent_app_country] => US [patent_app_date] => 2020-07-24 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 7 [patent_figures_cnt] => 7 [patent_no_of_words] => 13870 [patent_no_of_claims] => 15 [patent_no_of_ind_claims] => 3 [patent_words_short_claim] => 272 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16938098 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/938098
Compressing neural networks for natural language understanding Jul 23, 2020 Issued
Array ( [id] => 19410329 [patent_doc_number] => 12076120 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2024-09-03 [patent_title] => Systems, methods and media for estimating compensatory reserve and predicting hemodynamic decompensation using physiological data [patent_app_type] => utility [patent_app_number] => 16/934805 [patent_app_country] => US [patent_app_date] => 2020-07-21 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 15 [patent_figures_cnt] => 16 [patent_no_of_words] => 8845 [patent_no_of_claims] => 14 [patent_no_of_ind_claims] => 2 [patent_words_short_claim] => 203 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16934805 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/934805
Systems, methods and media for estimating compensatory reserve and predicting hemodynamic decompensation using physiological data Jul 20, 2020 Issued
Array ( [id] => 17372742 [patent_doc_number] => 20220027794 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2022-01-27 [patent_title] => Preventing Data Leakage in Automated Machine Learning [patent_app_type] => utility [patent_app_number] => 16/934920 [patent_app_country] => US [patent_app_date] => 2020-07-21 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 8167 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 158 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16934920 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/934920
Preventing data leakage in automated machine learning Jul 20, 2020 Issued
Array ( [id] => 16585219 [patent_doc_number] => 20210019621 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2021-01-21 [patent_title] => TRAINING AND DATA SYNTHESIS AND PROBABILITY INFERENCE USING NONLINEAR CONDITIONAL NORMALIZING FLOW MODEL [patent_app_type] => utility [patent_app_number] => 16/922748 [patent_app_country] => US [patent_app_date] => 2020-07-07 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 8564 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -8 [patent_words_short_claim] => 112 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16922748 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/922748
TRAINING AND DATA SYNTHESIS AND PROBABILITY INFERENCE USING NONLINEAR CONDITIONAL NORMALIZING FLOW MODEL Jul 6, 2020 Abandoned
Array ( [id] => 16593067 [patent_doc_number] => 10902337 [patent_country] => US [patent_kind] => B1 [patent_issue_date] => 2021-01-26 [patent_title] => Method and device of trajectory outlier detection, and storage medium thereof [patent_app_type] => utility [patent_app_number] => 16/907455 [patent_app_country] => US [patent_app_date] => 2020-06-22 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 9 [patent_figures_cnt] => 18 [patent_no_of_words] => 12512 [patent_no_of_claims] => 17 [patent_no_of_ind_claims] => 1 [patent_words_short_claim] => 462 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16907455 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/907455
Method and device of trajectory outlier detection, and storage medium thereof Jun 21, 2020 Issued
Array ( [id] => 17223991 [patent_doc_number] => 11176495 [patent_country] => US [patent_kind] => B1 [patent_issue_date] => 2021-11-16 [patent_title] => Machine learning model ensemble for computing likelihood of an entity failing to meet a target parameter [patent_app_type] => utility [patent_app_number] => 16/907251 [patent_app_country] => US [patent_app_date] => 2020-06-21 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 6 [patent_figures_cnt] => 6 [patent_no_of_words] => 16744 [patent_no_of_claims] => 25 [patent_no_of_ind_claims] => 3 [patent_words_short_claim] => 458 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16907251 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/907251
Machine learning model ensemble for computing likelihood of an entity failing to meet a target parameter Jun 20, 2020 Issued
Array ( [id] => 16240773 [patent_doc_number] => 20200258007 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2020-08-13 [patent_title] => SYSTEMS AND METHODS FOR AUTOMATICALLY CONFIGURING TRAINING DATA FOR TRAINING MACHINE LEARNING MODELS OF A MACHINE LEARNING-BASED DIALOGUE SYSTEM [patent_app_type] => utility [patent_app_number] => 16/864140 [patent_app_country] => US [patent_app_date] => 2020-04-30 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 10658 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => 0 [patent_words_short_claim] => 99 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16864140 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/864140
SYSTEMS AND METHODS FOR AUTOMATICALLY CONFIGURING TRAINING DATA FOR TRAINING MACHINE LEARNING MODELS OF A MACHINE LEARNING-BASED DIALOGUE SYSTEM Apr 29, 2020 Abandoned
Array ( [id] => 16514554 [patent_doc_number] => 20200393812 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2020-12-17 [patent_title] => ABNORMALITY DETECTION SYSTEM, ABNORMALITY DETECTION APPARATUS, AND ABNORMALITY DETECTION METHOD [patent_app_type] => utility [patent_app_number] => 16/850806 [patent_app_country] => US [patent_app_date] => 2020-04-16 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 10924 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 140 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16850806 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/850806
Abnormality detection system, abnormality detection apparatus, and abnormality detection method Apr 15, 2020 Issued
Array ( [id] => 19062294 [patent_doc_number] => 11941531 [patent_country] => US [patent_kind] => B1 [patent_issue_date] => 2024-03-26 [patent_title] => Attention-based prototypical learning [patent_app_type] => utility [patent_app_number] => 16/785032 [patent_app_country] => US [patent_app_date] => 2020-02-07 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 4 [patent_figures_cnt] => 4 [patent_no_of_words] => 7431 [patent_no_of_claims] => 19 [patent_no_of_ind_claims] => 3 [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] => 16785032 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/785032
Attention-based prototypical learning Feb 6, 2020 Issued
Array ( [id] => 17024630 [patent_doc_number] => 20210248502 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2021-08-12 [patent_title] => TRAINING ASYMMETRIC KERNELS OF DETERMINANTAL POINT PROCESSES [patent_app_type] => utility [patent_app_number] => 16/783535 [patent_app_country] => US [patent_app_date] => 2020-02-06 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 7342 [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] => 16783535 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/783535
Training asymmetric kernels of determinantal point processes Feb 5, 2020 Issued
Array ( [id] => 15871737 [patent_doc_number] => 20200143272 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2020-05-07 [patent_title] => TERMINAL RULE OPERATION DEVICE AND METHOD [patent_app_type] => utility [patent_app_number] => 16/725728 [patent_app_country] => US [patent_app_date] => 2019-12-23 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 8330 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 98 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16725728 [rel_patent_id] =>[rel_patent_doc_number] =>)
16/725728
TERMINAL RULE OPERATION DEVICE AND METHOD Dec 22, 2019 Abandoned
Array ( [id] => 17173006 [patent_doc_number] => 20210326677 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2021-10-21 [patent_title] => DETERMINATION DEVICE, DETERMINATION PROGRAM, DETERMINATION METHOD AND METHOD OF GENERATING NEURAL NETWORK MODEL [patent_app_type] => utility [patent_app_number] => 17/312575 [patent_app_country] => US [patent_app_date] => 2019-11-29 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 9998 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -8 [patent_words_short_claim] => 83 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17312575 [rel_patent_id] =>[rel_patent_doc_number] =>)
17/312575
DETERMINATION DEVICE, DETERMINATION PROGRAM, DETERMINATION METHOD AND METHOD OF GENERATING NEURAL NETWORK MODEL Nov 28, 2019 Pending
Menu