Patents

1. Mohammad, Y., & Nakadai, S. (2022). US17/388,004: Negotiation method including elicitation and system for implementing.

   @patent{elicitation2012,
     author = {Mohammad, Y. and Nakadai, S.},
     title = {US17/388,004: Negotiation method including elicitation and system for
     	         implementing},
     year = {2022},
     url2 = {https://www.freepatentsonline.com/y2022/0366483.html},
     keywords = {patent, granted}
   }
   

   A system for negotiation under uncertainty with
   	            elicitation-during-negotiation support using Value of Information
   	            concept (50%). A system includes a non-transitory computer
   	            readable medium configured to store instructions. The system
   	            further includes a processor connected to the non-transitory
   	            computer readable medium. The processor is configured to receive
   	            information for a user utility function (Ufun) having uncertainty.
   	            The processor is configured to generate an offer in a negotiation
   	            based on the user Ufun. The processor is configured to determine
   	            whether additional information should be requested from a user. The
   	            processor is configured to identify a query to obtain the
   	            additional information in response to a determination that
   	            additional information should be requested. The processor is
   	            configured to determine a value of information (VOI) value for the
   	            identified query. The processor is configured to send the
   	            identified query to the user in response to the VOI value being
   	            greater than the interruption threshold. 

2. Mohammad, Y., & Hoashi, K. (2021). JP6838259B2: Learning data generator, judgment device and program.

   @patent{activity_recognition_2021,
     url2 = {https://patents.google.com/patent/JP2019087106A/en?oq=JP-2019-087106 },
     title = {JP6838259B2: Learning data generator, judgment device and program},
     year = {2021},
     author = {Mohammad, Y. and Hoashi, K.},
     keywords = {patent, granted}
   }
   

   A method for training multiple pipelines of convolutional neural
   	            networks to achieve high accuracy in activity recognition. To
   	            provide a generation device that can generate a large number of
   	            pieces of learning data from collected data.SOLUTION: The
   	            generation device, which generates learning data of the
   	            determination device using neural network based on collected
   	            time-series data, includes: value changing means for changing the
   	            data value of the time-series data; interval changing means for
   	            changing the time interval of each piece of the time-series data;
   	            distortion addition means for adding a distortion to the
   	            time-series data; and noise addition means for adding noise to the
   	            time-series data.(90%)

3. A. Sengupta, S. N., Y. Mohammad. (2021). US17/184,590: Adaptive Autonomous Negotiation Method and System of Using.

   @patent{ayanrl_patent2021,
     url2 = {},
     title = {US17/184,590: Adaptive Autonomous Negotiation Method and System of
     	         Using},
     year = {2021},
     author = {A. Sengupta, Y. Mohammad, S. Nakadai},
     keyword = {patent, application}
   }
   

   A new automated negotiation method that can generalize along
   	            negotiation domains and opponents (30%)

4. Mohammad, Y. (2020). JP6754343B2: Neural network regulators, devices and programs.

   @patent{compression_patent2020,
     url2 = {https://patents.google.com/patent/JP6838259B2/en?oq=JP-2019-087106},
     title = {JP6754343B2: Neural network regulators, devices and programs},
     year = {2020},
     author = {Mohammad, Y.},
     keywords = {patent, granted}
   }
   

   A method for compression neural networks (convolutional or
   	            otherwise) based on novel application of feature selection
   	            techniques (90%)

5. Mohammad, Y. (2020). PCT/JP2020-029145: Policy Generation Apparatus, Control Method, and Non Transitory Computer-Readable Storage Medium.

   @patent{concurrent2020,
     url2 = {},
     title = {PCT/JP2020-029145: Policy Generation Apparatus, Control Method, and
     	         Non Transitory Computer-Readable Storage Medium},
     year = {2020},
     author = {Mohammad, Y.},
     keyword = {patent, application}
   }
   

   A method for concurrent negotiation proven to be optimal against
   	            opponents with static acceptance models (100%).