Alireza Abdoli
  According to our database1,
  Alireza Abdoli
  authored at least 15 papers
  between 2018 and 2023.
  
  
Collaborative distances:
Collaborative distances:
Timeline
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Bibliography
  2023
    Proceedings of the International Conference on Information Networking, 2023
    
  
  2022
Introducing the contrast profile: a novel time series primitive that allows real world classification.
    
  
    Data Min. Knowl. Discov., 2022
    
  
  2021
Time Series Data Mining Algorithms Towards Scalable and Real-Time Behavior Monitoring
    
  
    PhD thesis, 2021
    
  
Novel Feynman-Based Reversible and Fault-Tolerant Nano-communication Arithmetic Architecture Based on QCA Technology.
    
  
    SN Comput. Sci., 2021
    
  
Time Series Data Mining Algorithms Towards Scalable and Real-Time Behavior Monitoring.
    
  
    CoRR, 2021
    
  
Matrix Profile XXIII: Contrast Profile: A Novel Time Series Primitive that Allows Real World Classification.
    
  
    Proceedings of the IEEE International Conference on Data Mining, 2021
    
  
    Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021
    
  
  2020
Low-Cost Performance-Efficient Field-Programmable Pin-Constrained Digital Microfluidic Biochip.
    
  
    CoRR, 2020
    
  
A Cost & Performance-Efficient Field-Programmable Pin-Constrained Digital Microfluidic Biochip.
    
  
    CoRR, 2020
    
  
    Proceedings of the 2020 SIAM International Conference on Data Mining, 2020
    
  
Fitbit for Chickens?: Time Series Data Mining Can Increase the Productivity of Poultry Farms.
    
  
    Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020
    
  
  2019
    CoRR, 2019
    
  
Time Series Classification: Lessons Learned in the (Literal) Field while Studying Chicken Behavior.
    
  
    Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019
    
  
  2018
    Microelectron. J., 2018
    
  
    Proceedings of the 17th IEEE International Conference on Machine Learning and Applications, 2018