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Works (14)

<scp>Data‐Driven</scp> Prediction and Optimization of Liquid Wettability of an <scp>iCVD‐Produced</scp> Fluoropolymer

AIChE Journal
2022-03 | Journal article
Contributors: Daniel Schwartz; Tien Nguyen; Zhengtao Chen; Kenneth K. S. Lau; Michael C. Grady; Ali Shokoufandeh; Masoud Soroush
Source: Self-asserted source
Daniel Schwartz via The Lens

SYSTEM AND METHOD OF INTELLIGENT DETECTION OF DATA MODEL FIELDNAME LINEAGE AND CONTEXT OF PRIVATE INDIVIDUAL DATA IN BUSINESS INTEGRATION PROCESSES

2022-02-03 | Patent
URI:

lens.org/198-331-535-379-246

PAT:

US 2022/0035823 A1

Contributors: Morton Michael J; Schwartz Daniel
Source: Self-asserted source
Daniel Schwartz via The Lens

SYSTEM AND METHOD OF INTELLIGENT PROFILING A USER OF A CLOUD-NATIVE APPLICATION DEVELOPMENT PLATFORM

2022-02-03 | Patent
URI:

lens.org/077-761-520-008-859

PAT:

US 2022/0035864 A1

Contributors: Morton Michael J; Schwartz Daniel
Source: Self-asserted source
Daniel Schwartz via The Lens

SYSTEM AND METHOD FOR MATCHING INTEGRATION PROCESS MANAGEMENT SYSTEM USERS USING DEEP LEARNING AND MATRIX FACTORIZATION

2022-01-13 | Patent
URI:

lens.org/093-994-603-927-217

PAT:

US 2022/0012022 A1

Contributors: Schwartz Daniel; Morton Michael J
Source: Self-asserted source
Daniel Schwartz via The Lens

Towards Searching Efficient and Accurate Neural Network Architectures in Binary Classification Problems

Proceedings of the International Joint Conference on Neural Networks
2021 | Conference paper
EID:

2-s2.0-85116421562

Contributors: Alparslan, Y.; Moyer, E.J.; Isozaki, I.M.; Schwartz, D.; Dunlop, A.; Dave, S.; Kim, E.
Source: Self-asserted source
Daniel Schwartz via Scopus - Elsevier
grade
Preferred source (of 4)‎

SYSTEM AND METHOD FOR TRANSLATING A SOFTWARE QUERY IN AN AUTOMATED INTEGRATION PROCESS INTO NATURAL LANGUAGE

2021-08-05 | Patent
URI:

lens.org/049-847-596-905-689

PAT:

US 2021/0240750 A1

Contributors: Schwartz Daniel; Morton Michael J
Source: Self-asserted source
Daniel Schwartz via The Lens

SYSTEM AND METHOD OF INTELLIGENT DETECTION OF DATA MODEL FIELDNAME LINEAGE WITH GEOGRAPHICAL LOCATION MOVEMENT CONTROL

2021-04-01 | Patent
URI:

lens.org/023-959-754-979-943

PAT:

US 2021/0099461 A1

Contributors: Schwartz Daniel; Morton Michael J; Jain Rohan
Source: Self-asserted source
Daniel Schwartz via The Lens

SYSTEM AND METHOD OF INTELLIGENT TRANSLATION OF METADATA LABEL NAMES AND MAPPING TO NATURAL LANGUAGE UNDERSTANDING

2021-04-01 | Patent
URI:

lens.org/069-691-989-356-251

PAT:

US 2021/0097069 A1

Contributors: Schwartz Daniel; Morton Michael J
Source: Self-asserted source
Daniel Schwartz via The Lens

A fast algorithm to delineate watershed boundaries for simple geometries

Environmental Modelling and Software
2020 | Journal article
EID:

2-s2.0-85092138787

Part of ISBN:

13648152

Contributors: Haag, S.; Schwartz, D.; Shakibajahromi, B.; Campagna, M.; Shokoufandeh, A.
Source: Self-asserted source
Daniel Schwartz via Scopus - Elsevier
grade
Preferred source (of 2)‎

Learning Spiking Neural Network Models of Drosophila Olfaction

ACM International Conference Proceeding Series
2020 | Conference paper
EID:

2-s2.0-85091494864

Contributors: Carter, J.; Rego, J.; Schwartz, D.; Bhandawat, V.; Kim, E.
Source: Self-asserted source
Daniel Schwartz via Scopus - Elsevier
grade
Preferred source (of 2)‎

Regularization and Sparsity for Adversarial Robustness and Stable Attribution

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2020 | Book
EID:

2-s2.0-85098189257

Part of ISBN:

16113349 03029743

Contributors: Schwartz, D.; Alparslan, Y.; Kim, E.
Source: Self-asserted source
Daniel Schwartz via Scopus - Elsevier
grade
Preferred source (of 2)‎

Wearable Smart Garment Devices for Passive Biomedical Monitoring

Biomedical Signal Processing
2020-12-19 | Book chapter
Contributors: Chelsea Amanatides; Stephen Hansen; Ariana Levitt; Yuqiao Liu; Patrick O’Neill; Damiano Patron; Robert Ross; Daniel M. Schwartz; Jesse Stover; null Abu Saleh Tajin et al.
Source: Self-asserted source
Daniel Schwartz via The Lens

Fusion Learning on Multiple-Tag RFID Measurements for Respiratory Rate Monitoring

2020 IEEE 20th International Conference on Bioinformatics and Bioengineering (BIBE)
2020-10-26 | Journal article
Source: Self-asserted source
Daniel Schwartz
grade
Preferred source (of 3)‎

RADGENNETS: DEEP LEARNING-BASED RADIOGENOMICS MODEL FOR GENE MUTATION PREDICTION IN LUNG CANCER

Other
Contributors: Satvik Tripathi; Ethan Jacob Moyer; Alisha Isabelle Augustin; Alex Zavalny; Suhani Dheer; Rithvik Sukumaran; Daniel Schwartz; Brandon Gorski; Farouk Dako; Edward Kim
Source: Self-asserted source
Daniel Schwartz via Crossref Metadata Search
grade
Preferred source (of 4)‎