Dataology: Study of Data in Computer Science

A Practical Approach to Novel Class Discovery in Tabular Data: Appendix | HackerNoon

Authors: (1) Troisemaine Colin, Department of Computer Science, IMT Atlantique, Brest, France., and Orange Labs, Lannion, France; (2) Reiffers-Masson Alexandre, Department of Computer Science, IMT Atlantique, Brest, France.; (3) Gosselin Stephane, Orange Labs, Lannion, France; (4) Lemaire Vincent, Orange Labs, Lannion, France; (5) Vaton Sandrine, Department of Computer Science, IMT Atlantique, Brest, France. Table of Links Abstract and Intro Related work Approaches Hyperparameter optimization Estimating the number of novel classes Full training procedure Experiments Conclusion

Read More »
Dataology: Study of Data in Computer Science May 26, 2024
Software

Unlocking Novel Class Discovery: Advances in NCD Algorithms and Hyperparameter Tuning | HackerNoon

Authors: (1) Troisemaine Colin, Department of Computer Science, IMT Atlantique, Brest, France., and Orange Labs, Lannion, France; (2) Reiffers-Masson Alexandre, Department of Computer Science, IMT Atlantique, Brest, France.; (3) Gosselin Stephane, Orange Labs, Lannion, France; (4) Lemaire Vincent, Orange Labs, Lannion, France; (5) Vaton Sandrine, Department of Computer Science, IMT Atlantique, Brest, France. Table of Links Abstract and Intro Related work Approaches Hyperparameter optimization Estimating the number of novel classes Full training procedure Experiments Conclusion

Read More »
Dataology: Study of Data in Computer Science May 26, 2024

Comprehensive NCD Experimentation: Datasets, Metrics, Competitors, and Results Analysis | HackerNoon

Authors: (1) Troisemaine Colin, Department of Computer Science, IMT Atlantique, Brest, France., and Orange Labs, Lannion, France; (2) Reiffers-Masson Alexandre, Department of Computer Science, IMT Atlantique, Brest, France.; (3) Gosselin Stephane, Orange Labs, Lannion, France; (4) Lemaire Vincent, Orange Labs, Lannion, France; (5) Vaton Sandrine, Department of Computer Science, IMT Atlantique, Brest, France. Table of Links Abstract and Intro Related work Approaches Hyperparameter optimization Estimating the number of novel classes Full training procedure Experiments Conclusion

Read More »
Dataology: Study of Data in Computer Science May 26, 2024
Software

A Practical Approach to Novel Class Discovery in Tabular Data: Full training procedure | HackerNoon

Authors: (1) Troisemaine Colin, Department of Computer Science, IMT Atlantique, Brest, France., and Orange Labs, Lannion, France; (2) Reiffers-Masson Alexandre, Department of Computer Science, IMT Atlantique, Brest, France.; (3) Gosselin Stephane, Orange Labs, Lannion, France; (4) Lemaire Vincent, Orange Labs, Lannion, France; (5) Vaton Sandrine, Department of Computer Science, IMT Atlantique, Brest, France. In the previous sections, we presented the models, the hyperparameter optimization and the estimation procedure of the number of novel classes independently.

Read More »
Dataology: Study of Data in Computer Science May 26, 2024

Estimating Novel Class Count in NCD by Leveraging Cluster Validity Indices | HackerNoon

Authors: (1) Troisemaine Colin, Department of Computer Science, IMT Atlantique, Brest, France., and Orange Labs, Lannion, France; (2) Reiffers-Masson Alexandre, Department of Computer Science, IMT Atlantique, Brest, France.; (3) Gosselin Stephane, Orange Labs, Lannion, France; (4) Lemaire Vincent, Orange Labs, Lannion, France; (5) Vaton Sandrine, Department of Computer Science, IMT Atlantique, Brest, France. Table of Links Abstract and Intro Related work Approaches Hyperparameter optimization Estimating the number of novel classes Full training procedure Experiments Conclusion

Read More »
Dataology: Study of Data in Computer Science May 26, 2024

Supercharge Your Portfolio with Future Tech Stocks!

Join us for Profitable Insights & Expert Tips!

With expert analysis, comprehensive market coverage, and actionable insights, our newsletter equips you with the knowledge & tools necessary to make informed decisions & maximize your potential returns in the dynamic world of future tech stocks.

Subscribe

* indicates required