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Richi Nayak
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- affiliation: Queensland University of Technology, Brisbane, QLD, Australia
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2020 – today
- 2025
- [j54]Duoyi Zhang
, Md. Abul Bashar, Richi Nayak:
A novel multi-modal fusion method based on uncertainty-guided meta-learning. Pattern Recognit. 158: 110993 (2025) - 2024
- [j53]Shadi Jaradat
, Richi Nayak
, Alexander Paz
, Mohammed Elhenawy
:
Ensemble Learning with Pre-Trained Transformers for Crash Severity Classification: A Deep NLP Approach. Algorithms 17(7): 284 (2024) - [j52]Aban Sakheta, Thomas Raj, Richi Nayak
, Ian O'Hara
, Jerome Ramirez
:
Improved prediction of biomass gasification models through machine learning. Comput. Chem. Eng. 191: 108834 (2024) - [j51]Sharon Torao-Pingi
, Duoyi Zhang
, Md. Abul Bashar
, Richi Nayak
:
Joint Representation Learning with Generative Adversarial Imputation Network for Improved Classification of Longitudinal Data. Data Sci. Eng. 9(1): 5-25 (2024) - [j50]Sohan Gunawardena
, Khanh Luong, Thirunavukarasu Balasubramaniam
, Richi Nayak
:
DCCNMF: Deep Complementary and Consensus Non-negative Matrix Factorization for multi-view clustering. Knowl. Based Syst. 285: 111330 (2024) - [j49]Duoyi Zhang
, Richi Nayak
, Md. Abul Bashar
:
Pre-gating and contextual attention gate - A new fusion method for multi-modal data tasks. Neural Networks 179: 106553 (2024) - [j48]Deepak Uniyal, Richi Nayak:
Twitter's pulse on hydrogen energy in 280 characters: a data perspective. Soc. Netw. Anal. Min. 14(1): 37 (2024) - [j47]Sharon Torao-Pingi
, Richi Nayak
, Md. Abul Bashar
:
Conditional Generative Adversarial Network for Early Classification of Longitudinal Datasets Using an Imputation Approach. ACM Trans. Knowl. Discov. Data 18(5): 132:1-132:25 (2024) - 2023
- [b1]Richi Nayak
, Khanh Luong:
Multi-aspect Learning - Methods and Applications. Intelligent Systems Reference Library 242, Springer 2023, ISBN 978-3-031-33559-4, pp. 1-184 - [j46]Thirunavukarasu Balasubramaniam
, David J. Warne, Richi Nayak
, Kerrie L. Mengersen:
Explainability of the COVID-19 epidemiological model with nonnegative tensor factorization. Int. J. Data Sci. Anal. 15(3): 267-280 (2023) - [j45]Md. Abul Bashar
, Richi Nayak
, Kieren Astin-Walmsley, Kerina Heath:
Machine learning for predicting propensity-to-pay energy bills. Intell. Syst. Appl. 17: 200176 (2023) - [j44]Yue Wang
, Md. Abul Bashar
, Mahinthan Chandramohan, Richi Nayak
:
Exploring topic models to discern cyber threats on Twitter: A case study on Log4Shell. Intell. Syst. Appl. 20: 200280 (2023) - [j43]Majid Seyfi
, Yue Xu, Richi Nayak
:
DAC: Discriminative Associative Classification. SN Comput. Sci. 4(4): 401 (2023) - [j42]Majid Seyfi
, Richi Nayak
, Yue Xu:
Mining Discriminative Itemsets Over Data Streams Using Efficient Sliding Window. SN Comput. Sci. 4(5): 489 (2023) - [c165]Duoyi Zhang
, Yue Wang
, Md. Abul Bashar
, Richi Nayak
:
Enhanced Topic Modeling with Multi-modal Representation Learning. PAKDD (1) 2023: 393-404 - [c164]Ahmed Shoeb Talukder, Richi Nayak
, Md. Abul Bashar
:
GAN-IE: Generative Adversarial Network for Information Extraction with Limited Annotated Data. WISE 2023: 633-642 - [i19]Md. Abul Bashar, Richi Nayak, Gareth Knapman, Paul Turnbull, Cressida Fforde:
Informed Machine Learning, Centrality, CNN, Relevant Document Detection, Repatriation of Indigenous Human Remains. CoRR abs/2303.14475 (2023) - [i18]Md. Abul Bashar, Richi Nayak:
ALGAN: Time Series Anomaly Detection with Adjusted-LSTM GAN. CoRR abs/2308.06663 (2023) - 2022
- [j41]Majid Seyfi, Richi Nayak
, Yue Xu, Shlomo Geva:
DISSparse: Efficient Mining of Discriminative Itemsets. J. Inf. Knowl. Manag. 21(1): 2250009:1-2250009:42 (2022) - [j40]Khanh Luong
, Richi Nayak
, Thirunavukarasu Balasubramaniam
, Md. Abul Bashar
:
Multi-layer manifold learning for deep non-negative matrix factorization-based multi-view clustering. Pattern Recognit. 131: 108815 (2022) - [j39]Md. Abul Bashar
, Richi Nayak
, Thirunavukarasu Balasubramaniam
:
Deep learning based topic and sentiment analysis: COVID19 information seeking on social media. Soc. Netw. Anal. Min. 12(1): 90 (2022) - [j38]Khanh Luong
, Richi Nayak
:
Learning Inter- and Intra-Manifolds for Matrix Factorization-Based Multi-Aspect Data Clustering. IEEE Trans. Knowl. Data Eng. 34(7): 3349-3362 (2022) - [c163]Anandkumar Balasubramaniam
, Thirunavukarasu Balasubramaniam
, Anand Paul
, Richi Nayak
:
Latent Pattern Identification Using Orthogonal-Constraint Coupled Nonnegative Matrix Factorization. AI 2022: 675-689 - [c162]Sharon Torao-Pingi
, Md. Abul Bashar
, Richi Nayak
:
A Comparative Look at the Resilience of Discriminative and Generative Classifiers to Missing Data in Longitudinal Datasets. AusDM 2022: 133-147 - [p3]Richi Nayak
, Hee Sook Baek:
Machine Learning for Identifying Abusive Content in Text Data. Advances in Selected Artificial Intelligence Areas 2022: 209-229 - 2021
- [j37]Majid Seyfi
, Richi Nayak
, Yue Xu, Shlomo Geva:
Mining discriminative itemsets in data streams using the tilted-time window model. Knowl. Inf. Syst. 63(5): 1241-1270 (2021) - [j36]Wathsala Anupama Mohotti
, Richi Nayak
:
Discovering cluster evolution patterns with the Cluster Association-aware matrix factorization. Knowl. Inf. Syst. 63(6): 1397-1428 (2021) - [j35]Gaurangi Anand, Richi Nayak
:
DeLTa: Deep local pattern representation for time-series clustering and classification using visual perception. Knowl. Based Syst. 212: 106551 (2021) - [j34]Thirunavukarasu Balasubramaniam
, Richi Nayak
, Khanh Luong, Md. Abul Bashar
:
Identifying Covid-19 misinformation tweets and learning their spatio-temporal topic dynamics using Nonnegative Coupled Matrix Tensor Factorization. Soc. Netw. Anal. Min. 11(1): 57 (2021) - [j33]Md. Abul Bashar
, Richi Nayak
, Khanh Luong, Thirunavukarasu Balasubramaniam
:
Progressive domain adaptation for detecting hate speech on social media with small training set and its application to COVID-19 concerned posts. Soc. Netw. Anal. Min. 11(1): 69 (2021) - [j32]Md. Abul Bashar
, Richi Nayak
:
Active Learning for Effectively Fine-Tuning Transfer Learning to Downstream Task. ACM Trans. Intell. Syst. Technol. 12(2): 24:1-24:24 (2021) - [j31]Thirunavukarasu Balasubramaniam
, Richi Nayak
, Chau Yuen
, Yu-Chu Tian
:
Column-Wise Element Selection for Computationally Efficient Nonnegative Coupled Matrix Tensor Factorization. IEEE Trans. Knowl. Data Eng. 33(9): 3173-3186 (2021) - [c161]Md. Abul Bashar
, Richi Nayak
, Anjor Kothare, Vishal Sharma, Kesavan Kandadai:
Deep Learning for Bias Detection: From Inception to Deployment. AusDM 2021: 86-101 - [c160]Duoyi Zhang, Richi Nayak
, Md. Abul Bashar
:
Exploring Fusion Strategies in Deep Learning Models for Multi-Modal Classification. AusDM 2021: 102-117 - [c159]Darren Yates, Md Zahidul Islam
, Yanchang Zhao
, Richi Nayak
, Vladimir Estivill-Castro, Salil S. Kanhere:
PostMatch: A Framework for Efficient Address Matching. AusDM 2021: 136-151 - [c158]Yasuko Okamoto, Thirunavukarasu Balasubramaniam
, Richi Nayak
:
Investigation of Topic Modelling Methods for Understanding the Reports of the Mining Projects in Queensland. AusDM 2021: 196-208 - [c157]Richi Nayak
, Thirunavukarasu Balasubramaniam
, Sangeetha Kutty
, Sachindra Banduthilaka, Erin E. Peterson:
A Semi-automatic Data Extraction System for Heterogeneous Data Sources: a Case Study from Cotton Industry. AusDM 2021: 209-222 - [c156]Anandkumar Balasubramaniam
, Thirunavukarasu Balasubramaniam
, Rathinaraja Jeyaraj, Anand Paul, Richi Nayak
:
Nonnegative Matrix Factorization to Understand Spatio-Temporal Traffic Pattern Variations During COVID-19: A Case Study. AusDM 2021: 223-234 - [c155]Thirunavukarasu Balasubramaniam
, Wathsala Anupama Mohotti
, Richi Nayak
, Chau Yuen:
NOCOL - Nonnegative Orthogonal Constraint Outlier Learning. WISE (2) 2021: 377-385 - [e2]Yue Xu
, X. Rosalind Wang
, Anton R. Lord
, Yee Ling Boo
, Richi Nayak
, Yanchang Zhao
, Graham J. Williams
:
Data Mining - 19th Australasian Conference on Data Mining, AusDM, Brisbane, QLD, Australia, December 14-15, 2021, Proceedings. Communications in Computer and Information Science 1504, Springer 2021, ISBN 978-981-16-8530-9 [contents] - [i17]Md. Abul Bashar, Richi Nayak, Anjor Kothare, Vishal Sharma, Kesavan Kandadai:
Deep Learning for Bias Detection: From Inception to Deployment. CoRR abs/2110.15728 (2021) - [i16]Yasuko Okamoto, Thirunavukarasu Balasubramaniam, Richi Nayak:
Investigation of Topic Modelling Methods for Understanding the Reports of the Mining Projects in Queensland. CoRR abs/2111.03576 (2021) - [i15]Richi Nayak, Thirunavukarasu Balasubramaniam, Sangeetha Kutty, Sachindra Banduthilaka, Erin E. Peterson:
A Semi-automatic Data Extraction System for Heterogeneous Data Sources: A Case Study from Cotton Industry. CoRR abs/2111.03579 (2021) - [i14]Anandkumar Balasubramaniam, Thirunavukarasu Balasubramaniam, Rathinaraja Jeyaraj, Anand Paul, Richi Nayak:
Nonnegative Matrix Factorization to understand Spatio-Temporal Traffic Pattern Variations during COVID-19: A Case Study. CoRR abs/2111.03592 (2021) - [i13]Gaurangi Anand, Richi Nayak:
Unsupervised Visual Time-Series Representation Learning and Clustering. CoRR abs/2111.10309 (2021) - 2020
- [j30]Rosziati Ibrahim
, Maryam Ahmed, Richi Nayak
, Sapiee Jamel
:
Reducing redundancy of test cases generation using code smell detection and refactoring. J. King Saud Univ. Comput. Inf. Sci. 32(3): 367-374 (2020) - [j29]Md. Abul Bashar
, Richi Nayak
, Nicolas Suzor:
Regularising LSTM classifier by transfer learning for detecting misogynistic tweets with small training set. Knowl. Inf. Syst. 62(10): 4029-4054 (2020) - [j28]Sangeetha Kutty
, Richi Nayak
, Paul Turnbull
, Ron Chernich, Gavin Kennedy
, Kerry Raymond:
PaperMiner - a real-time spatiotemporal visualization for newspaper articles. Digit. Scholarsh. Humanit. 35(1): 83-100 (2020) - [j27]Balasubramaniam Thirunavukarasu
, Richi Nayak
, Chau Yuen
:
Efficient Nonnegative Tensor Factorization via Saturating Coordinate Descent. ACM Trans. Knowl. Discov. Data 14(4): 40:1-40:28 (2020) - [j26]Wathsala Anupama Mohotti
, Richi Nayak
:
Efficient Outlier Detection in Text Corpus Using Rare Frequency and Ranking. ACM Trans. Knowl. Discov. Data 14(6): 71:1-71:30 (2020) - [c154]Khanh Luong, Richi Nayak
:
A Novel Approach to Learning Consensus and Complementary Information for Multi-View Data Clustering. ICDE 2020: 865-876 - [c153]Wathsala Anupama Mohotti
, Richi Nayak
:
Deep Hierarchical Non-negative Matrix Factorization for Clustering Short Text. ICONIP (2) 2020: 270-282 - [c152]Gaurangi Anand, Richi Nayak
:
Unsupervised Visual Time-Series Representation Learning and Clustering. ICONIP (5) 2020: 832-840 - [c151]Chee Keong Wee
, Richi Nayak:
Adaptive Data Replication Optimization Based on Reinforcement Learning. SSCI 2020: 1210-1217 - [c150]Thirunavukarasu Balasubramaniam
, Richi Nayak
, Md. Abul Bashar
:
Understanding the Spatio-temporal Topic Dynamics of Covid-19 using Nonnegative Tensor Factorization: A Case Study. SSCI 2020: 1218-1225 - [c149]Wathsala Anupama Mohotti
, Richi Nayak
:
Discovering Communities with SGNS Modelling-based Network connections and Text communications Clustering. SSCI 2020: 1770-1777 - [c148]Md. Abul Bashar
, Richi Nayak
:
TAnoGAN: Time Series Anomaly Detection with Generative Adversarial Networks. SSCI 2020: 1778-1785 - [i12]Balasubramaniam Thirunavukarasu, Richi Nayak, Chau Yuen:
Columnwise Element Selection for Computationally Efficient Nonnegative Coupled Matrix Tensor Factorization. CoRR abs/2003.03506 (2020) - [i11]Balasubramaniam Thirunavukarasu, Richi Nayak, Chau Yuen:
Efficient Nonnegative Tensor Factorization via Saturating Coordinate Descent. CoRR abs/2003.03572 (2020) - [i10]Md. Abul Bashar, Richi Nayak:
TAnoGAN: Time Series Anomaly Detection with Generative Adversarial Networks. CoRR abs/2008.09567 (2020) - [i9]Md. Abul Bashar, Kieren Astin-Walmsley
, Kerina Heath, Richi Nayak:
Propensity-to-Pay: Machine Learning for Estimating Prediction Uncertainty. CoRR abs/2008.12065 (2020) - [i8]Md. Abul Bashar, Richi Nayak, Thirunavukarasu Balasubramaniam:
Topic, Sentiment and Impact Analysis: COVID19 Information Seeking on Social Media. CoRR abs/2008.12435 (2020) - [i7]Md. Abul Bashar, Richi Nayak:
QutNocturnal@HASOC'19: CNN for Hate Speech and Offensive Content Identification in Hindi Language. CoRR abs/2008.12448 (2020) - [i6]Md. Abul Bashar, Richi Nayak, Nicolas Suzor, Bridget Weir:
Misogynistic Tweet Detection: Modelling CNN with Small Datasets. CoRR abs/2008.12452 (2020) - [i5]Khanh Luong, Richi Nayak:
Learning Inter- and Intra-manifolds for Matrix Factorization-based Multi-Aspect Data Clustering. CoRR abs/2009.02859 (2020) - [i4]Thirunavukarasu Balasubramaniam, Richi Nayak, Md. Abul Bashar:
Understanding the Spatio-temporal Topic Dynamics of Covid-19 using Nonnegative Tensor Factorization: A Case Study. CoRR abs/2009.09253 (2020)
2010 – 2019
- 2019
- [j25]Alan Woodley
, Ling-Xiang Tang, Shlomo Geva, Richi Nayak
, Timothy Chappell:
Parallel K-Tree: A multicore, multinode solution to extreme clustering. Future Gener. Comput. Syst. 99: 333-345 (2019) - [j24]Chee Keong Wee
, Richi Nayak
:
A novel machine learning approach for database exploitation detection and privilege control. J. Inf. Telecommun. 3(3): 308-325 (2019) - [j23]Chee Keong Wee
, Richi Nayak
:
Adaptive load forecasting using reinforcement learning with database technology. J. Inf. Telecommun. 3(3): 381-399 (2019) - [j22]T. M. G. Tennakoon
, Richi Nayak
:
MH-DAGMiner: maximal hierarchical sub-DAG mining in directed weighted networks. Knowl. Inf. Syst. 61(1): 431-462 (2019) - [j21]T. M. G. Tennakoon
, Richi Nayak
:
FCMiner: mining functional communities in social networks. Soc. Netw. Anal. Min. 9(1): 20:1-20:19 (2019) - [j20]Marakkalage Sumudu Hasala
, Serhad Sarica
, Billy Pik Lik Lau
, Sanjana Kadaba Viswanath, Balasubramaniam Thirunavukarasu
, Chau Yuen
, Belinda Yuen, Jianxi Luo
, Richi Nayak
:
Understanding the Lifestyle of Older Population: Mobile Crowdsensing Approach. IEEE Trans. Comput. Soc. Syst. 6(1): 82-95 (2019) - [c147]Chee Keong Wee
, Richi Nayak
:
Data Replication Optimization Using Simulated Annealing. AusDM 2019: 222-234 - [c146]Md. Abul Bashar, Richi Nayak:
QutNocturnal@HASOC'19: CNN for Hate Speech and Offensive Content Identification in Hindi Language. FIRE (Working Notes) 2019: 237-245 - [c145]Chee Keong Wee
, Richi Nayak
:
Adaptive Database's Performance Tuning Based on Reinforcement Learning. PKAW 2019: 97-114 - [c144]Wathsala Anupama Mohotti
, Darren Christopher Lukas, Richi Nayak
:
Concept Mining in Online Forums Using Self-corpus-Based Augmented Text Clustering. PRICAI (1) 2019: 397-402 - [c143]Tennakoon Mudiyanselage Gayani Tennakoon, Khanh Luong, Wathsala Anupama Mohotti
, Sharma Chakravarthy
, Richi Nayak
:
Multi-type Relational Data Clustering for Community Detection by Exploiting Content and Structure Information in Social Networks. PRICAI (2) 2019: 541-554 - [c142]Balasubramaniam Thirunavukarasu
, Richi Nayak
, Chau Yuen
:
Sparsity Constraint Nonnegative Tensor Factorization for Mobility Pattern Mining. PRICAI (2) 2019: 582-594 - [c141]Balasubramaniam Thirunavukarasu
, Richi Nayak, Chau Yuen
:
Transfer Learning via Feature Selection Based Nonnegative Matrix Factorization. WISE 2019: 82-97 - [c140]A. B. M. Moniruzzaman, Richi Nayak
, Maolin Tang, Balasubramaniam Thirunavukarasu
:
Fine-grained Type Inference in Knowledge Graphs via Probabilistic and Tensor Factorization Methods. WWW 2019: 3093-3100 - 2018
- [j19]Taufik Sutanto
, Richi Nayak
:
Fine-grained document clustering via ranking and its application to social media analytics. Soc. Netw. Anal. Min. 8(1): 29:1-29:19 (2018) - [c139]Chee Keong Wee
, Richi Nayak
:
A Novel Load Forecasting System Leveraging Database Technology. ACIIDS (Extended Posters) 2018: 491-503 - [c138]Chee Keong Wee
, Richi Nayak
:
A Novel Database Exploitation Detection and Privilege Control System Using Data Mining. ACIIDS (Extended Posters) 2018: 505-516 - [c137]T. M. G. Tennakoon, Richi Nayak
:
Discovering Influence Hierarchy Based on Frequent Social Interactions. ASONAM 2018: 575-576 - [c136]Md. Abul Bashar
, Richi Nayak
, Nicolas Suzor
, Bridget Weir:
Misogynistic Tweet Detection: Modelling CNN with Small Datasets. AusDM 2018: 3-16 - [c135]Chee Keong Wee
, Richi Nayak
:
An Approach to Compress and Represents Time Series Data and Its Application in Electric Power Utilities. AusDM 2018: 107-120 - [c134]Hendi Lie, Darren Lukas, Jonathan Liebig, Richi Nayak
:
A Novel Learning-to-Rank Method for Automated Camera Movement Control in E-Sports Spectating. AusDM 2018: 149-160 - [c133]Khanh Luong, Richi Nayak
:
Learning Association Relationship and Accurate Geometric Structures for Multi-Type Relational Data. ICDE 2018: 509-520 - [c132]Balasubramaniam Thirunavukarasu
, Richi Nayak
, Chau Yuen
:
Understanding Urban Spatio-Temporal Usage Patterns Using Matrix Tensor Factorization. ICDM Workshops 2018: 1497-1498 - [c131]Malmi Amadoru, Erwin Fielt, Marek Kowalkiewicz, Richi Nayak:
Organizing Visions in Online Social Networks: The Role of Community Heterogeneity and Real-time Engagement. ICIS 2018 - [c130]Wathsala Anupama Mohotti
, Richi Nayak
:
Corpus-Based Augmented Media Posts with Density-Based Clustering for Community Detection. ICTAI 2018: 379-386 - [c129]T. M. G. Tennakoon, Richi Nayak
:
A Concise Social Network Representation with Flow Hierarchy Using Frequent Interactions. ICTAI 2018: 631-638 - [c128]Gaurangi Anand, Richi Nayak
:
Contextual Anomaly Detection in Spatio-Temporal Data Using Locally Dense Regions. ICTAI 2018: 963-967 - [c127]Balasubramaniam Thirunavukarasu
, Richi Nayak
, Chau Yuen
:
Nonnegative Coupled Matrix Tensor Factorization for Smart City Spatiotemporal Pattern Mining. LOD 2018: 520-532 - [c126]Wathsala Anupama Mohotti
, Richi Nayak
:
An Efficient Ranking-Centered Density-Based Document Clustering Method. PAKDD (3) 2018: 439-451 - [c125]Khanh Luong, Balasubramaniam Thirunavukarasu
, Richi Nayak
:
A Novel Technique of Using Coupled Matrix and Greedy Coordinate Descent for Multi-view Data Representation. WISE (2) 2018: 285-300 - 2017
- [c124]Alan Woodley
, Timothy Chappell, Shlomo Geva
, Richi Nayak
:
Using web services to fuse remote sensing and multimedia data repositories. ACSW 2017: 54:1-54:8 - [c123]Billy Pik Lik Lau, Marakkalage Sumudu Hasala
, Sanjana Kadaba Viswanath, Balasubramaniam Thirunavukarasu
, Chau Yuen
, Belinda Yuen, Richi Nayak
:
Extracting point of interest and classifying environment for low sampling crowd sensing smartphone sensor data. PerCom Workshops 2017: 201-206 - [c122]Marakkalage Sumudu Hasala, Billy Pik Lik Lau, Sanjana Kadaba Viswanath, Balasubramaniam Thirunavukarasu
, Chau Yuen
, Belinda Yuen, Richi Nayak
:
Identifying Points of Interest for Elderly in Singapore through Mobile Crowdsensing. SMARTGREENS 2017: 60-66 - [c121]Majid Seyfi, Richi Nayak
, Yue Xu
, Shlomo Geva:
Efficient mining of discriminative itemsets. WI 2017: 451-459 - [c120]Hendi Lie, Richi Nayak
, Gordon F. Wyeth
:
Spatial Information Recognition in Web Documents Using a Semi-supervised Machine Learning Method. WISE (1) 2017: 150-164 - [i3]Billy Pik Lik Lau, Marakkalage Sumudu Hasala, Sanjana Kadaba Viswanath, Balasubramaniam Thirunavukarasu, Chau Yuen, Belinda Yuen, Richi Nayak:
Extracting Point of Interest and Classifying Environment for Low Sampling Crowd Sensing Smartphone Sensor Data. CoRR abs/1701.03379 (2017) - 2016
- [c119]Alan Woodley
, Ling-Xiang Tang, Shlomo Geva
, Richi Nayak
, Timothy Chappell:
Using parallel hierarchical clustering to address spatial big data challenges. IEEE BigData 2016: 2692-2698 - [c118]Alan Woodley
, Timothy Chappell, Shlomo Geva
, Richi Nayak
:
Efficient Feature Selection and Nearest Neighbour Search for Hyperspectral Image Classification. DICTA 2016: 1-8 - [c117]Alan Woodley, Shlomo Geva, Richi Nayak, Timothy Chappell:
Introducing the Sky and the Social Eye. MediaEval 2016 - [c116]Michael Dorkhom, Alan Woodley
, Shlomo Geva
, Richi Nayak
:
WIMBY: What's in My Backyard? ACM Multimedia 2016: 714-716 - [c115]Noor Ifada
, Richi Nayak
:
How Relevant is the Irrelevant Data: Leveraging the Tagging Data for a Learning-to-Rank Model. WSDM 2016: 23-32 - 2015
- [j18]Lin Chen, Kirsten Vallmuur
, Richi Nayak
:
Injury narrative text classification using factorization model. BMC Medical Informatics Decis. Mak. 15-S(S-1): S5 (2015) - [c114]Jun Hou, Ruth Schulz, Gordon F. Wyeth
, Richi Nayak
:
Finding Within-Organisation Spatial Information on the Web. Australasian Conference on Artificial Intelligence 2015: 242-248 - [c113]Sharon Torao-Pingi
, Richi Nayak
:
Understanding People Relationship: Analysis of Digitised Historical Newspaper Articles. Australasian Conference on Artificial Intelligence 2015: 572-588 - [c112]Jun Hou, Richi Nayak
:
Robust clustering of multi-type relational data via a heterogeneous manifold ensemble. ICDE 2015: 615-626 - [c111]Noor Ifada
, Richi Nayak
:
Do-Rank: DCG Optimization for Learning-to-Rank in Tag-Based Item Recommendation Systems. PAKDD (2) 2015: 510-521 - [c110]Israt Jahan Chowdhury, Richi Nayak
:
FreeS: A Fast Algorithm to Discover Frequent Free Subtrees Using a Novel Canonical Form. WISE (1) 2015: 123-137 - [c109]Taufik Sutanto
, Richi Nayak
:
Semi-supervised Document Clustering via Loci. WISE (2) 2015: 208-215 - [c108]Christopher Michael De Vries, Lance De Vine, Shlomo Geva
, Richi Nayak
:
Parallel Streaming Signature EM-tree: A Clustering Algorithm for Web Scale Applications. WWW 2015: 216-226 - [i2]Christopher M. De Vries, Lance De Vine, Shlomo Geva, Richi Nayak:
Parallel Streaming Signature EM-tree: A Clustering Algorithm for Web Scale Applications. CoRR abs/1505.05613 (2015) - 2014
- [j17]Sangeetha Kutty
, Richi Nayak
, Lin Chen:
A people-to-people matching system using graph mining techniques.