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Akshay Deepak
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2020 – today
- 2025
- [j26]Raman Choudhary, Akshay Deepak, Gopalakrishnan Krishnasamy, Vikash Kumar:
An optimized bidirectional vision transformer based colorectal cancer detection using histopathological images. Biomed. Signal Process. Control. 102: 107210 (2025) - 2024
- [j25]Sangita Singh, Jyoti Prakash Singh, Akshay Deepak:
Supervised weight learning-based PSO framework for single document extractive summarization. Appl. Soft Comput. 161: 111678 (2024) - [j24]Shashank Shekher Tiwari, Rajnish Pandey, Akshay Deepak, Jyoti Prakash Singh, Sudhakar Tripathi:
An ensemble approach to detect depression from social media platform: E-CLS. Multim. Tools Appl. 83(28): 71001-71033 (2024) - [j23]Vikash Kumar, Akshay Deepak, Ashish Ranjan, Aravind Prakash:
CrossPredGO: A Novel Light-Weight Cross-Modal Multi-Attention Framework for Protein Function Prediction. IEEE ACM Trans. Comput. Biol. Bioinform. 21(6): 1709-1720 (2024) - [j22]Vikash Kumar, Akshay Deepak, Ashish Ranjan, Aravind Prakash:
Bi-SeqCNN: A Novel Light-Weight Bi-Directional CNN Architecture for Protein Function Prediction. IEEE ACM Trans. Comput. Biol. Bioinform. 21(6): 1922-1933 (2024) - 2023
- [j21]Anand Bihari, Sudhakar Tripathi, Akshay Deepak:
A review on h-index and its alternative indices. J. Inf. Sci. 49(3): 624-665 (2023) - [j20]Ashish Ranjan, Archana Tiwari, Akshay Deepak:
A Sub-Sequence Based Approach to Protein Function Prediction via Multi-Attention Based Multi-Aspect Network. IEEE ACM Trans. Comput. Biol. Bioinform. 20(1): 94-105 (2023) - [j19]Ashish Ranjan, Md. S. Fahad, David Fernández-Baca, Sudhakar Tripathi, Akshay Deepak:
MCWS-Transformers: Towards an Efficient Modeling of Protein Sequences via Multi Context-Window Based Scaled Self-Attention. IEEE ACM Trans. Comput. Biol. Bioinform. 20(2): 1188-1199 (2023) - [j18]Vikash Kumar, Akshay Deepak, Ashish Ranjan, Aravind Prakash:
Lite-SeqCNN: A Light-Weight Deep CNN Architecture for Protein Function Prediction. IEEE ACM Trans. Comput. Biol. Bioinform. 20(3): 2242-2253 (2023) - [c9]Vikash Kumar, Ashish Ranjan, Deng Cao, Gopalakrishnan Krishnasamy, Akshay Deepak:
A Sequence-Motif Based Approach to Protein Function Prediction via Deep-CNN Architecture. ICAART (3) 2023: 243-251 - 2022
- [j17]Md. Shah Fahad, Ashish Ranjan, Akshay Deepak, Gayadhar Pradhan:
Speaker Adversarial Neural Network (SANN) for Speaker-independent Speech Emotion Recognition. Circuits Syst. Signal Process. 41(11): 6113-6135 (2022) - [j16]Ashish Ranjan, Md. Shah Fahad, Akshay Deepak:
λ-Scaled-attention: A novel fast attention mechanism for efficient modeling of protein sequences. Inf. Sci. 609: 1098-1112 (2022) - [j15]Hiteshwar Kumar Azad, Akshay Deepak, Amisha Azad:
LOD search engine: A semantic search over linked data. J. Intell. Inf. Syst. 59(1): 71-91 (2022) - [j14]Md. Shah Fahad, Shreya Singh, Abhinav, Ashish Ranjan, Akshay Deepak:
Emotion recognition from spontaneous speech using emotional vowel-like regions. Multim. Tools Appl. 81(10): 14025-14043 (2022) - [j13]Hiteshwar Kumar Azad, Akshay Deepak, Chinmay Chakraborty, Kumar Abhishek:
Improving query expansion using pseudo-relevant web knowledge for information retrieval. Pattern Recognit. Lett. 158: 148-156 (2022) - [j12]Ashish Ranjan, David Fernández-Baca, Sudhakar Tripathi, Akshay Deepak:
An Ensemble Tf-Idf Based Approach to Protein Function Prediction via Sequence Segmentation. IEEE ACM Trans. Comput. Biol. Bioinform. 19(5): 2685-2696 (2022) - [c8]Sangita Singh, Jyoti Prakash Singh, Akshay Deepak:
Deep Learning based Abstractive Summarization for English Language. FIRE (Working Notes) 2022: 383-392 - [i11]Ashish Ranjan, Md. Shah Fahad, Akshay Deepak:
λ-Scaled-Attention: A Novel Fast Attention Mechanism for Efficient Modeling of Protein Sequences. CoRR abs/2201.02912 (2022) - 2021
- [j11]Md. Shah Fahad, Akshay Deepak, Gayadhar Pradhan, Jainath Yadav:
DNN-HMM-Based Speaker-Adaptive Emotion Recognition Using MFCC and Epoch-Based Features. Circuits Syst. Signal Process. 40(1): 466-489 (2021) - [j10]Md. Shah Fahad, Ashish Ranjan, Jainath Yadav, Akshay Deepak:
A survey of speech emotion recognition in natural environment. Digit. Signal Process. 110: 102951 (2021) - [j9]Anand Bihari, Sudhakar Tripathi, Akshay Deepak:
Iterative weighted EM and iterative weighted EM′-index for scientific assessment of scholars. Scientometrics 126(7): 5551-5568 (2021) - 2020
- [j8]Shruti Gupta, Md. Shah Fahad, Akshay Deepak:
Pitch-synchronous single frequency filtering spectrogram for speech emotion recognition. Multim. Tools Appl. 79(31-32): 23347-23365 (2020) - [j7]Ashish Ranjan, Md. Shah Fahad, David Fernández-Baca, Akshay Deepak, Sudhakar Tripathi:
Deep Robust Framework for Protein Function Prediction Using Variable-Length Protein Sequences. IEEE ACM Trans. Comput. Biol. Bioinform. 17(5): 1648-1659 (2020)
2010 – 2019
- 2019
- [j6]Anand Bihari, Sudhakar Tripathi, Akshay Deepak:
Collaboration Network Analysis Based on Normalized Citation Count and Eigenvector Centrality. Int. J. Rough Sets Data Anal. 6(1): 61-72 (2019) - [j5]Hiteshwar Kumar Azad, Akshay Deepak:
Query expansion techniques for information retrieval: A survey. Inf. Process. Manag. 56(5): 1698-1735 (2019) - [j4]Hiteshwar Kumar Azad, Akshay Deepak:
A new approach for query expansion using Wikipedia and WordNet. Inf. Sci. 492: 147-163 (2019) - [i10]Hiteshwar Kumar Azad, Akshay Deepak:
A New Approach for Query Expansion using Wikipedia and WordNet. CoRR abs/1901.10197 (2019) - [i9]Shruti Gupta, Md. Shah Fahad, Akshay Deepak:
Pitch-Synchronous Single Frequency Filtering Spectrogram for Speech Emotion Recognition. CoRR abs/1908.03054 (2019) - [i8]Hiteshwar Kumar Azad, Akshay Deepak:
A novel model for query expansion using pseudo-relevant web knowledge. CoRR abs/1908.10193 (2019) - [i7]Balanand Jha, David Fernández-Baca, Akshay Deepak, Kumar Abhishek:
EvoZip: Efficient Compression of Large Collections of Evolutionary Trees. CoRR abs/1910.07819 (2019) - 2018
- [i6]Md. Shah Fahad, Jainath Yadav, Gyadhar Pradhan, Akshay Deepak:
DNN-HMM based Speaker Adaptive Emotion Recognition using Proposed Epoch and MFCC Features. CoRR abs/1806.00984 (2018) - [i5]Anand Bihari, Sudhakar Tripathi, Akshay Deepak, Prabhat Kumar:
EM and EM'-index sequence: Construction and application in scientific assessment of scholars. CoRR abs/1806.09804 (2018) - [i4]Ashish Ranjan, Akshay Deepak, Md. Shah Fahad, Sudhakar Tripathi:
Deep Robust Framework for Protein Function Prediction using Variable-Length Protein Sequences. CoRR abs/1811.01338 (2018) - [i3]Anand Bihari, Sudhakar Tripathi, Akshay Deepak:
h-index and its alternative: A Review. CoRR abs/1811.03308 (2018) - 2017
- [i2]Hiteshwar Kumar Azad, Akshay Deepak:
Query Expansion Techniques for Information Retrieval: a Survey. CoRR abs/1708.00247 (2017) - 2016
- [c7]Hiteshwar Kumar Azad, Akshay Deepak, Kumar Abhishek:
Linked Open Data Search Engine. ICTCS 2016: 17:1-17:5 - [c6]Raman Choudhary, Akshay Deepak, Sujeet Kumar:
A study of energy efficient transmission protocol in wirless sensor network. WOCN 2016: 1-4 - [c5]Raman Choudhary, Sujeet Kumar, Akshay Deepak, Dinesh Dash:
Data aggregation in Wireless Sensor Network: An integer linear programming formulation for energy optimization. WOCN 2016: 1-6 - [c4]Sujeet Kumar, Raman Chaudhary, Akshay Deepak, Dinesh Dash:
An integer linear formulation scheme for data collection in wireless sensor network using mobile element (ME). WOCN 2016: 1-6 - 2014
- [j3]Akshay Deepak, David Fernández-Baca:
Enumerating all maximal frequent subtrees in collections of phylogenetic trees. Algorithms Mol. Biol. 9: 16 (2014) - [j2]Akshay Deepak, David Fernández-Baca, Srikanta Tirthapura, Michael J. Sanderson, Michelle M. McMahon:
EvoMiner: frequent subtree mining in phylogenetic databases. Knowl. Inf. Syst. 41(3): 559-590 (2014) - [c3]Suresh C. Kothari, Akshay Deepak, Ahmed Tamrawi, Benjamin Holland, Sandeep Krishnan:
A "Human-in-the-loop" approach for resolving complex software anomalies. SMC 2014: 1971-1978 - 2013
- [j1]Akshay Deepak, David Fernández-Baca, Michelle M. McMahon:
Extracting conflict-free information from multi-labeled trees. Algorithms Mol. Biol. 8: 18 (2013) - 2012
- [c2]Akshay Deepak, Jianrong Dong, David Fernández-Baca:
Identifying Rogue Taxa through Reduced Consensus: NP-Hardness and Exact Algorithms. ISBRA 2012: 87-98 - [c1]Akshay Deepak, David Fernández-Baca, Michelle M. McMahon:
Extracting Conflict-Free Information from Multi-labeled Trees. WABI 2012: 81-92 - [i1]Akshay Deepak, David Fernández-Baca, Michelle M. McMahon:
Extracting Conflict-free Information from Multi-labeled Trees. CoRR abs/1205.6359 (2012)
Coauthor Index
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last updated on 2025-01-10 18:28 CET by the dblp team
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