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PADMANABHAN RAJAN
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Name
Affiliation
Papers
PADMANABHAN RAJAN
Univ Eastern Finland, Sch Comp, Joensuu, Finland
21
Collaborators
Citations
PageRank
28
22
7.63
Referers
Referees
References
57
245
116
Search Limit
100
245
Publications (21 rows)
Collaborators (28 rows)
Referers (57 rows)
Referees (100 rows)
Title
Citations
PageRank
Year
Multiview Embeddings for Soundscape Classification
0
0.34
2022
SPOKEN LANGUAGE IDENTIFICATION IN UNSEEN TARGET DOMAIN USING WITHIN-SAMPLE SIMILARITY LOSS
0
0.34
2021
SVD-Based Redundancy Removal in 1-D CNNs for Acoustic Scene Classification
0
0.34
2020
Learning to Separate: Soundscape Classification using Foreground and Background
0
0.34
2020
Attention-Driven Projections for Soundscape Classification.
1
0.36
2020
Conv-Codes: Audio Hashing For Bird Species Classification
0
0.34
2019
Deep Archetypal Analysis Based Intermediate Matching Kernel For Bioacoustic Classification
0
0.34
2019
Directional Embedding Based Semi-supervised Framework For Bird Vocalization Segmentation.
0
0.34
2019
Single versus Multi-Source Discrimination in Birdcalls using Zero-Frequency Filtering
0
0.34
2019
Deep Hidden Analysis: A Statistical Framework To Prune Feature Maps
0
0.34
2019
Multiscale CNN based Deep Metric Learning for Bioacoustic Classification: Overcoming Training Data Scarcity Using Dynamic Triplet Loss.
0
0.34
2019
Feature learning for bird-call segmentation using phase based features
0
0.34
2018
A Layer-wise Score Level Ensemble Framework for Acoustic Scene Classification.
0
0.34
2018
APE: Archetypal-Prototypal Embeddings for Audio Classification
0
0.34
2018
CONVEX LIKELIHOOD ALIGNMENTS FOR BIOACOUSTIC CLASSIFICATION
0
0.34
2018
Rapid bird activity detection using probabilistic sequence kernels.
0
0.34
2017
Archetypal analysis based sparse convex sequence kernel for bird activity detection.
2
0.40
2017
Unsupervised birdcall activity detection using source and system features.
1
0.35
2017
Bird Call Identification Using Dynamic Kernel Based Support Vector Machines and Deep Neural Networks
1
0.36
2016
From single to multiple enrollment i-vectors: Practical PLDA scoring variants for speaker verification.
7
0.48
2014
A Practical, Self-Adaptive Voice Activity Detector For Speaker Verification With Noisy Telephone And Microphone Data
10
0.61
2013
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