Folgen
Jensun Ravichandran
Jensun Ravichandran
PhD Scholar, Mittweida University of Applied Sciences
Bestätigte E-Mail-Adresse bei hs-mittweida.de
Titel
Zitiert von
Zitiert von
Jahr
Investigation of activation functions for generalized learning vector quantization
T Villmann, J Ravichandran, A Villmann, D Nebel, M Kaden
Advances in Self-Organizing Maps, Learning Vector Quantization, Clustering …, 2020
202020
Quantum-inspired learning vector quantizers for prototype-based classification: Confidential: for personal use only—submitted to Neural Networks and Applications 5/2020
T Villmann, A Engelsberger, J Ravichandran, A Villmann, M Kaden
Neural Computing and Applications 34 (1), 79-88, 2022
192022
Variants of DropConnect in Learning vector quantization networks for evaluation of classification stability
J Ravichandran, M Kaden, S Saralajew, T Villmann
Neurocomputing 403, 121-132, 2020
152020
Quantum-Inspired Learning Vector Quantization for Classification Learning
T Villmann, J Ravichandran, A Engelsberger, A Villmann, M Kaden
Proceedings of the 28th European Symposium on Artificial Neural Networks …, 2020
72020
Variants of recurrent learning vector quantization
J Ravichandran, M Kaden, T Villmann
Neurocomputing 502, 27-36, 2022
42022
A learning vector quantization architecture for transfer learning based classification in case of multiple sources by means of null-space evaluation
T Villmann, D Staps, J Ravichandran, S Saralajew, M Biehl, M Kaden
International Symposium on Intelligent Data Analysis, 354-364, 2022
42022
Activation functions for generalized learning vector quantization-a performance comparison
T Villmann, J Ravichandran, A Villmann, D Nebel, M Kaden
arXiv preprint arXiv:1901.05995, 2019
42019
DropConnect for Evaluation of Classification Stability in Learning Vector Quantization.
J Ravichandran, S Saralajew, T Villmann
ESANN, 2019
22019
Dropout in learning vector quantization networks for regularized learning and classification confidence estimation
T Villmann, JRD Ravichandran, S Saralajew, M Biehl
Mittweida Workshop on Computational Intelligence, 2018
12018
Trustworthiness and Confidence of Gait Phase Predictions in Changing Environments Using Interpretable Classifier Models
D Möbius, J Ravichandran, M Kaden, T Villmann
International Conference on Neural Information Processing, 379-390, 2022
2022
RecLVQ: Recurrent Learning Vector Quantization.
J Ravichandran, T Villmann, M Kaden
ESANN, 2021
2021
Recurrent Learning Vector Quantization
J Ravichandran, T Villmann
26. Interdisziplinäre Wissenschaftliche Konferenz Mittweida, 147-148, 2021
2021
DropConnect in LVQ networks for regularization and confidence interval estimation
J Ravichandran, JR Dinesh
2018
1331-Abstract not received
J Ravichandran, T Villmann, MS Gumisiriza, ER Mbega
Proceedings of the Seventh International Congress of Pharmacology, 520, 1978
1978
Das System kann den Vorgang jetzt nicht ausführen. Versuchen Sie es später erneut.
Artikel 1–14