Wilbert L. Starks

Array ( [id] => 16759010 [patent_doc_number] => 10977562 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2021-04-13 [patent_title] => Filter for harmful training samples in active learning systems [patent_app_type] => utility [patent_app_number] => 15/670133 [patent_app_country] => US [patent_app_date] => 2017-08-07 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 14 [patent_figures_cnt] => 14 [patent_no_of_words] => 9876 [patent_no_of_claims] => 25 [patent_no_of_ind_claims] => 5 [patent_words_short_claim] => 101 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 15670133 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 16845805 [patent_doc_number] => 11017901 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2021-05-25 [patent_title] => Systems and methods to identify persons and/or identify and quantify pain, fatigue, mood, and intent with protection of privacy [patent_app_type] => utility [patent_app_number] => 15/666514 [patent_app_country] => US [patent_app_date] => 2017-08-01 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 28 [patent_figures_cnt] => 40 [patent_no_of_words] => 28903 [patent_no_of_claims] => 45 [patent_no_of_ind_claims] => 5 [patent_words_short_claim] => 131 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 15666514 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 16934297 [patent_doc_number] => 20210200186 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2021-07-01 [patent_title] => INFERRING OBJECT ATTRIBUTES [patent_app_type] => utility [patent_app_number] => 16/076241 [patent_app_country] => US [patent_app_date] => 2017-07-28 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 6471 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -12 [patent_words_short_claim] => 90 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 16076241 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 16550691 [patent_doc_number] => 10883844 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2021-01-05 [patent_title] => Neural networks for vehicle trajectory planning [patent_app_type] => utility [patent_app_number] => 15/662007 [patent_app_country] => US [patent_app_date] => 2017-07-27 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 8 [patent_figures_cnt] => 10 [patent_no_of_words] => 14198 [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] => 15662007 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 13876967 [patent_doc_number] => 20190034824 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2019-01-31 [patent_title] => SUPERVISED LEARNING SYSTEM TRAINING USING CHATBOT INTERACTION [patent_app_type] => utility [patent_app_number] => 15/661923 [patent_app_country] => US [patent_app_date] => 2017-07-27 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 8560 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -11 [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] => 15661923 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 13876941 [patent_doc_number] => 20190034811 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2019-01-31 [patent_title] => SERVICE LAYER AUGMENTATION OF RESPONSE TO SEMANTICALLY-INFORMED QUERY OF ARBITRARY EXTERNAL DATA SOURCES [patent_app_type] => utility [patent_app_number] => 15/659329 [patent_app_country] => US [patent_app_date] => 2017-07-25 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 6464 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -15 [patent_words_short_claim] => 171 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 15659329 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 16644756 [patent_doc_number] => 10922616 [patent_country] => US [patent_kind] => B1 [patent_issue_date] => 2021-02-16 [patent_title] => Determining apparel sizes using physical measurements and artificial intelligence [patent_app_type] => utility [patent_app_number] => 15/634152 [patent_app_country] => US [patent_app_date] => 2017-06-27 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 6 [patent_figures_cnt] => 6 [patent_no_of_words] => 16248 [patent_no_of_claims] => 20 [patent_no_of_ind_claims] => 3 [patent_words_short_claim] => 169 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 15634152 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 16608432 [patent_doc_number] => 10909441 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2021-02-02 [patent_title] => Modeling an action completion conversation using a knowledge graph [patent_app_type] => utility [patent_app_number] => 15/626765 [patent_app_country] => US [patent_app_date] => 2017-06-19 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 10 [patent_figures_cnt] => 10 [patent_no_of_words] => 11481 [patent_no_of_claims] => 19 [patent_no_of_ind_claims] => 3 [patent_words_short_claim] => 178 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 15626765 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 16644746 [patent_doc_number] => 10922606 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2021-02-16 [patent_title] => Multi-directional reduction in large scale deep-learning [patent_app_type] => utility [patent_app_number] => 15/621258 [patent_app_country] => US [patent_app_date] => 2017-06-13 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 11 [patent_figures_cnt] => 11 [patent_no_of_words] => 6559 [patent_no_of_claims] => 25 [patent_no_of_ind_claims] => 5 [patent_words_short_claim] => 145 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 15621258 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 16738128 [patent_doc_number] => 10963784 [patent_country] => US [patent_kind] => B1 [patent_issue_date] => 2021-03-30 [patent_title] => Identifying portions of electronic communication documents using machine vision [patent_app_type] => utility [patent_app_number] => 15/612658 [patent_app_country] => US [patent_app_date] => 2017-06-02 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 8 [patent_figures_cnt] => 8 [patent_no_of_words] => 13052 [patent_no_of_claims] => 17 [patent_no_of_ind_claims] => 3 [patent_words_short_claim] => 340 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 15612658 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 16478774 [patent_doc_number] => 10853724 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2020-12-01 [patent_title] => Symbolic priors for recurrent neural network based semantic parsing [patent_app_type] => utility [patent_app_number] => 15/612098 [patent_app_country] => US [patent_app_date] => 2017-06-02 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 3 [patent_figures_cnt] => 5 [patent_no_of_words] => 11928 [patent_no_of_claims] => 20 [patent_no_of_ind_claims] => 3 [patent_words_short_claim] => 103 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 15612098 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 16958348 [patent_doc_number] => 11062220 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2021-07-13 [patent_title] => Integrated virtual cognitive agents and message communication architecture [patent_app_type] => utility [patent_app_number] => 15/608258 [patent_app_country] => US [patent_app_date] => 2017-05-30 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 6 [patent_figures_cnt] => 6 [patent_no_of_words] => 5710 [patent_no_of_claims] => 16 [patent_no_of_ind_claims] => 3 [patent_words_short_claim] => 290 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 15608258 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 16066127 [patent_doc_number] => 10692017 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2020-06-23 [patent_title] => Systems and methods for predictive document coding using continuous active machine learning [patent_app_type] => utility [patent_app_number] => 15/604261 [patent_app_country] => US [patent_app_date] => 2017-05-24 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 5 [patent_figures_cnt] => 6 [patent_no_of_words] => 11085 [patent_no_of_claims] => 20 [patent_no_of_ind_claims] => 4 [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] => 15604261 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 12987523 [patent_doc_number] => 20170344881 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2017-11-30 [patent_title] => INFORMATION PROCESSING APPARATUS USING MULTI-LAYER NEURAL NETWORK AND METHOD THEREFOR [patent_app_type] => utility [patent_app_number] => 15/603241 [patent_app_country] => US [patent_app_date] => 2017-05-23 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 14466 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -13 [patent_words_short_claim] => 86 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 15603241 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 13557413 [patent_doc_number] => 20180330254 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2018-11-15 [patent_title] => USER ACTIVITY RECOGNITION THROUGH WORK SURFACES USING RADIO-FREQUENCY SENSORS [patent_app_type] => utility [patent_app_number] => 15/594528 [patent_app_country] => US [patent_app_date] => 2017-05-12 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 7987 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -15 [patent_words_short_claim] => 133 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 15594528 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 13557393 [patent_doc_number] => 20180330244 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2018-11-15 [patent_title] => AUTOMATIC ONLINE ACTIVITY ABUSE REPORT ACCURACY PREDICTION METHOD AND APPARATUS [patent_app_type] => utility [patent_app_number] => 15/592703 [patent_app_country] => US [patent_app_date] => 2017-05-11 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 16274 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 250 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 15592703 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 16552275 [patent_doc_number] => 10885437 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2021-01-05 [patent_title] => Security system using a convolutional neural network with pruned filters [patent_app_type] => utility [patent_app_number] => 15/590666 [patent_app_country] => US [patent_app_date] => 2017-05-09 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 3 [patent_figures_cnt] => 4 [patent_no_of_words] => 3112 [patent_no_of_claims] => 20 [patent_no_of_ind_claims] => 2 [patent_words_short_claim] => 62 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 15590666 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 16201158 [patent_doc_number] => 10726327 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2020-07-28 [patent_title] => Predicting likelihoods of conditions being satisfied using recurrent neural networks [patent_app_type] => utility [patent_app_number] => 15/588535 [patent_app_country] => US [patent_app_date] => 2017-05-05 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 9 [patent_figures_cnt] => 9 [patent_no_of_words] => 10024 [patent_no_of_claims] => 20 [patent_no_of_ind_claims] => 3 [patent_words_short_claim] => 255 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 15588535 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 11868781 [patent_doc_number] => 20170236066 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2017-08-17 [patent_title] => 'KNOWLEDGE DISCOVERY FROM BELIEF NETWORKS' [patent_app_type] => utility [patent_app_number] => 15/586387 [patent_app_country] => US [patent_app_date] => 2017-05-04 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 12 [patent_figures_cnt] => 12 [patent_no_of_words] => 10430 [patent_no_of_claims] => 20 [patent_no_of_ind_claims] => 3 [patent_words_short_claim] => 0 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 15586387 [rel_patent_id] =>[rel_patent_doc_number] =>)

Array ( [id] => 16033397 [patent_doc_number] => 10679123 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2020-06-09 [patent_title] => Implementation of sigmoid function using non-complementary transistors [patent_app_type] => utility [patent_app_number] => 15/496027 [patent_app_country] => US [patent_app_date] => 2017-04-25 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 14 [patent_figures_cnt] => 15 [patent_no_of_words] => 3860 [patent_no_of_claims] => 20 [patent_no_of_ind_claims] => 3 [patent_words_short_claim] => 49 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 15496027 [rel_patent_id] =>[rel_patent_doc_number] =>)