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ORCIDKishan KC
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- affiliation: Rochester Institute of Technology, NY, USA
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2020 – today
- 2023
[c5]Minh Van Nguyen, Kishan KC, Toan Nguyen, Thien Huu Nguyen, Ankit Chadha, Thuy Vu:
Question-Context Alignment and Answer-Context Dependencies for Effective Answer Sentence Selection. INTERSPEECH 2023: 3437-3441- [c4]Minh Nguyen, Kishan K. C., Toan Nguyen, Ankit Chadha, Thuy Vu:
Efficient Fine-Tuning Large Language Models for Knowledge-Aware Response Planning. ECML/PKDD (2) 2023: 593-611 - [i4]Minh Van Nguyen, Kishan KC, Toan Nguyen, Thien Huu Nguyen, Ankit Chadha, Thuy Vu:
Question-Context Alignment and Answer-Context Dependencies for Effective Answer Sentence Selection. CoRR abs/2306.02196 (2023) - 2022
- [j4]Kishan KC
, Rui Li, Feng Cui, Anne R. Haake:
Predicting Biomedical Interactions With Higher-Order Graph Convolutional Networks. IEEE ACM Trans. Comput. Biol. Bioinform. 19(2): 676-687 (2022) - [i3]Kishan K. C., Rui Li, Paribesh Regmi, Anne R. Haake:
Predicting Biomedical Interactions with Probabilistic Model Selection for Graph Neural Networks. CoRR abs/2211.13231 (2022) - 2021
- [j3]Kishan KC, Sridevi K. Subramanya, Rui Li, Feng Cui:
Machine learning predicts nucleosome binding modes of transcription factors. BMC Bioinform. 22(1): 166 (2021) - [c3]Kishan K. C., Rui Li, Mahdi Gilany:
Joint Inference for Neural Network Depth and Dropout Regularization. NeurIPS 2021: 26622-26634 - 2020
- [j2]Peng-Nien Yin, Kishan KC, Shishi Wei, Qi Yu, Rui Li, Anne R. Haake, Hiroshi Miyamoto, Feng Cui:
Histopathological distinction of non-invasive and invasive bladder cancers using machine learning approaches. BMC Medical Informatics Decis. Mak. 20(1): 162 (2020) - [c2]Kishan KC, Feng Cui, Anne R. Haake, Rui Li:
Interpretable Structured Learning with Sparse Gated Sequence Encoder for Protein-Protein Interaction Prediction. ICPR 2020: 7126-7133 - [i2]Kishan KC, Feng Cui, Anne R. Haake, Rui Li:
Interpretable Structured Learning with Sparse Gated Sequence Encoder for Protein-Protein Interaction Prediction. CoRR abs/2010.08514 (2020) - [i1]Kishan KC, Rui Li, Feng Cui, Anne R. Haake:
Predicting Biomedical Interactions with Higher-Order Graph Convolutional Networks. CoRR abs/2010.08516 (2020)
2010 – 2019
- 2019
- [j1]Kishan KC, Rui Li, Feng Cui, Qi Yu, Anne R. Haake:
GNE: a deep learning framework for gene network inference by aggregating biological information. BMC Syst. Biol. 13-S(2): 38:1-38:14 (2019) - 2018
- [c1]Rui Li, Kishan KC, Feng Cui, Justin Domke, Anne R. Haake:
Sparse Covariance Modeling in High Dimensions with Gaussian Processes. NeurIPS 2018: 741-750
Coauthor Index
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