Growing community of inventors

Ann Arbor, MI, United States of America

Stefan Larson

Average Co-Inventor Count = 5.85

ph-index = 3

The patent ph-index is calculated by counting the number of publications for which an author has been cited by other authors at least that same number of times.

Forward Citations = 61

Stefan LarsonMichael A Laurenzano (4 patents)Stefan LarsonJonathan K Kummerfeld (4 patents)Stefan LarsonJason Mars (3 patents)Stefan LarsonLingjia Tang (3 patents)Stefan LarsonParker Hill (3 patents)Stefan LarsonKevin Leach (3 patents)Stefan LarsonJohann Hauswald (2 patents)Stefan LarsonAndrew Lee (2 patents)Stefan LarsonAnish Mahendran (2 patents)Stefan LarsonYunqi Zhang (1 patent)Stefan LarsonJoseph J Peper (1 patent)Stefan LarsonChristopher Clarke (1 patent)Stefan LarsonDaniel C Michelin (1 patent)Stefan LarsonStefan Larson (5 patents)Michael A LaurenzanoMichael A Laurenzano (16 patents)Jonathan K KummerfeldJonathan K Kummerfeld (9 patents)Jason MarsJason Mars (22 patents)Lingjia TangLingjia Tang (17 patents)Parker HillParker Hill (12 patents)Kevin LeachKevin Leach (4 patents)Johann HauswaldJohann Hauswald (14 patents)Andrew LeeAndrew Lee (6 patents)Anish MahendranAnish Mahendran (2 patents)Yunqi ZhangYunqi Zhang (9 patents)Joseph J PeperJoseph J Peper (2 patents)Christopher ClarkeChristopher Clarke (1 patent)Daniel C MichelinDaniel C Michelin (1 patent)
..
Inventor’s number of patents
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Strength of working relationships

Company Filing History:

1. Clinc, Inc. (4 from 18 patents)

2. Clinic, Inc. (1 from 1 patent)


5 patents:

1. 11183175 - Systems and methods implementing data query language and utterance corpus implements for handling slot-filling and dialogue intent classification data in a machine learning task-oriented dialogue system

2. 11043208 - Systems and methods for mixed setting training for slot filling machine learning tasks in a machine learning task-oriented dialogue system

3. 10929761 - Systems and methods for automatically detecting and repairing slot errors in machine learning training data for a machine learning-based dialogue system

4. 10796104 - Systems and methods for constructing an artificially diverse corpus of training data samples for training a contextually-biased model for a machine learning-based dialogue system

5. 10679150 - Systems and methods for automatically configuring training data for training machine learning models of a machine learning-based dialogue system including seeding training samples or curating a corpus of training data based on instances of training data identified as anomalous

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12/14/2025
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