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Uchenna Akujuobi
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2020 – today
- 2024
- [j5]Uchenna Akujuobi, Shuhong Liu, Tarek R. Besold:
Revisiting named entity recognition in food computing: enhancing performance and robustness. Artif. Intell. Rev. 57(9): 241 (2024) - [j4]Uchenna Akujuobi, Priyadarshini Kumari, Jihun Choi, Samy Badreddine, Kana Maruyama, Sucheendra K. Palaniappan, Tarek R. Besold:
Link prediction for hypothesis generation: an active curriculum learning infused temporal graph-based approach. Artif. Intell. Rev. 57(9): 244 (2024) - [c9]Laura Cabello, Uchenna Akujuobi:
It is Simple Sometimes: A Study On Improving Aspect-Based Sentiment Analysis Performance. ACL (Findings) 2024: 6597-6610 - [i5]Julio Christian Young, Uchenna Akujuobi:
CERM: Context-aware Literature-based Discovery via Sentiment Analysis. CoRR abs/2402.01724 (2024) - [i4]Laura Cabello, Uchenna Akujuobi:
It is Simple Sometimes: A Study On Improving Aspect-Based Sentiment Analysis Performance. CoRR abs/2405.20703 (2024) - 2023
- [c8]Julio Christian Young, Uchenna Akujuobi:
CERM: Context-Aware Literature-Based Discovery via Sentiment Analysis. ECAI 2023: 2906-2913 - [c7]Uchenna Akujuobi, Michael Spranger, Sucheendra K. Palaniappan, Xiangliang Zhang:
T-PAIR: Temporal Node pair Embedding for Automatic Biomedical Hypothesis Generation (Extended abstract). ICDE 2023: 3843-3844 - 2022
- [j3]Lin Xiao, Pengyu Xu, Liping Jing, Uchenna Akujuobi, Xiangliang Zhang:
Semantic guide for semi-supervised few-shot multi-label node classification. Inf. Sci. 591: 235-250 (2022) - [j2]Uchenna Akujuobi, Michael Spranger, Sucheendra K. Palaniappan, Xiangliang Zhang:
T-PAIR: Temporal Node-Pair Embedding for Automatic Biomedical Hypothesis Generation. IEEE Trans. Knowl. Data Eng. 34(6): 2988-3001 (2022) - 2020
- [b1]Uchenna Akujuobi:
Learning from Scholarly Attributed Graphs for Scientific Discovery. King Abdullah University of Science and Technology, Thuwal, Saudi Arabia, 2020 - [c6]Uchenna Akujuobi, Jun Chen, Mohamed Elhoseiny, Michael Spranger, Xiangliang Zhang:
Temporal Positive-unlabeled Learning for Biomedical Hypothesis Generation via Risk Estimation. NeurIPS 2020 - [c5]Uchenna Akujuobi, Qiannan Zhang, Yufei Han, Xiangliang Zhang:
Recurrent Attention Walk for Semi-supervised Classification. WSDM 2020: 16-24 - [i3]Uchenna Akujuobi, Jun Chen, Mohamed Elhoseiny, Michael Spranger, Xiangliang Zhang:
Temporal Positive-unlabeled Learning for Biomedical Hypothesis Generation via Risk Estimation. CoRR abs/2010.01916 (2020)
2010 – 2019
- 2019
- [c4]Uchenna Akujuobi, Yufei Han, Qiannan Zhang, Xiangliang Zhang:
Collaborative Graph Walk for Semi-Supervised Multi-label Node Classification. ICDM 2019: 1-10 - [c3]Basmah Altaf, Uchenna Akujuobi, Lu Yu, Xiangliang Zhang:
Dataset Recommendation via Variational Graph Autoencoder. ICDM 2019: 11-20 - [i2]Uchenna Akujuobi, Yufei Han, Qiannan Zhang, Xiangliang Zhang:
Collaborative Graph Walk for Semi-supervised Multi-Label Node Classification. CoRR abs/1910.09706 (2019) - [i1]Uchenna Akujuobi, Qiannan Zhang, Yufei Han, Xiangliang Zhang:
Recurrent Attention Walk for Semi-supervised Classification. CoRR abs/1910.10266 (2019) - 2018
- [c2]Uchenna Akujuobi, Ke Sun, Xiangliang Zhang:
Mining top-k Popular Datasets via a Deep Generative Model. IEEE BigData 2018: 584-593 - 2017
- [j1]Uchenna Akujuobi, Xiangliang Zhang:
Delve: A Dataset-Driven Scholarly Search and Analysis System. SIGKDD Explor. 19(2): 36-46 (2017) - [c1]Uchenna Akujuobi, Xiangliang Zhang:
Delve: A Data Set Retrieval and Document Analysis System. ECML/PKDD (3) 2017: 400-403
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