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ORCIDKotagiri Ramamohanarao
Ramamohanarao Kotagiri – Rao Kotagiri
Person information
- affiliation (Retired Professor): University of Melbourne, School of Computing and Information Systems, Australia
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2020 – today
- 2024
[j155]Jianping Gou
, Liyuan Sun, Baosheng Yu, Lan Du, Kotagiri Ramamohanarao, Dacheng Tao:
Collaborative Knowledge Distillation via Multiknowledge Transfer. IEEE Trans. Neural Networks Learn. Syst. 35(5): 6718-6730 (2024)- [i27]Sukhpal Singh Gill, Huaming Wu, Panos Patros, Carlo Ottaviani, Priyansh Arora, Victor Casamayor-Pujol, David Haunschild, Ajith Kumar Parlikad, Oktay Cetinkaya, Hanan Lutfiyya, Vlado Stankovski, Ruidong Li, Yuemin Ding, Junaid Qadir, Ajith Abraham, Soumya K. Ghosh, Houbing Herbert Song, Rizos Sakellariou, Omer F. Rana, Joel J. P. C. Rodrigues, Salil S. Kanhere, Schahram Dustdar, Steve Uhlig, Kotagiri Ramamohanarao, Rajkumar Buyya:
Modern Computing: Vision and Challenges. CoRR abs/2401.02469 (2024) - [i26]Sukhpal Singh Gill, Oktay Cetinkaya, Stefano Marrone, Elias F. Combarro, Daniel Claudino, David Haunschild, Leon Schlote, Huaming Wu, Carlo Ottaviani, Xiaoyuan Liu, Sree Pragna Machupalli, Kamalpreet Kaur, Priyansh Arora, Ji Liu, Salman Shamshad, Ahmed Farouk, Houbing Herbert Song, Steve Uhlig, Kotagiri Ramamohanarao:
Quantum Computing: Vision and Challenges. CoRR abs/2403.02240 (2024) - 2023
- [j154]Caesar Wu, Rui Zhang, Ramamohanarao Kotagiri, Pascal Bouvry:
Strategic Decisions: Survey, Taxonomy, and Future Directions from Artificial Intelligence Perspective. ACM Comput. Surv. 55(12): 250:1-250:30 (2023) - [j153]Tabinda Sarwar, Kotagiri Ramamohanarao, Alessandro Daducci, Simona Schiavi, Robert E. Smith, Andrew Zalesky:
Evaluation of tractogram filtering methods using human-like connectome phantoms. NeuroImage 281: 120376 (2023) - [j152]Eman Bin Khunayn, Hairuo Xie, Shanika Karunasekera, Kotagiri Ramamohanarao:
Dynamic Straggler Mitigation for Large-Scale Spatial Simulations. ACM Trans. Spatial Algorithms Syst. 9(2): 11:1-11:34 (2023) - [c296]Huanyu Zhao, Chaoyi Pang, Kotagiri Ramamohanarao, Christopher Kuo Pang, Ke Deng, Jian Yang, Tongliang Li:
An Optimal Online Semi-connected PLA Algorithm with Maximum Error Bound (Extended Abstract). ICDE 2023: 3789-3790 - 2022
- [j151]Emir Demirovic, Anna Lukina, Emmanuel Hebrard, Jeffrey Chan, James Bailey, Christopher Leckie, Kotagiri Ramamohanarao, Peter J. Stuckey:
MurTree: Optimal Decision Trees via Dynamic Programming and Search. J. Mach. Learn. Res. 23: 26:1-26:47 (2022) - [j150]Xuyun Zhang, Lianyong Qi, Wanchun Dou, Qiang He, Christopher Leckie, Ramamohanarao Kotagiri, Zoran Salcic:
MRMondrian: Scalable Multidimensional Anonymisation for Big Data Privacy Preservation. IEEE Trans. Big Data 8(1): 125-139 (2022) - [j149]Huanyu Zhao, Chaoyi Pang, Ramamohanarao Kotagiri, Christopher Kuo Pang, Ke Deng, Jian Yang, Tongliang Li:
An Optimal Online Semi-Connected PLA Algorithm With Maximum Error Bound. IEEE Trans. Knowl. Data Eng. 34(1): 164-177 (2022) - [j148]Shreshth Tuli, Shashikant Ilager, Kotagiri Ramamohanarao, Rajkumar Buyya:
Dynamic Scheduling for Stochastic Edge-Cloud Computing Environments Using A3C Learning and Residual Recurrent Neural Networks. IEEE Trans. Mob. Comput. 21(3): 940-954 (2022) - [c295]Oscar Correa, Egemen Tanin, Kotagiri Ramamohanarao, Lars Kulik, Arkady B. Zaslavsky, Hairuo Xie:
Optimizing crowdsourced delivery routes through concurrent selection of pickup stores and drivers. IWCTS@SIGSPATIAL 2022: 7:1-7:10 - [c294]Laurence A. F. Park, Mohadeseh Ganji, Emir Demirovic, Jeffrey Chan, Peter J. Stuckey, James Bailey, Christopher Leckie, Rao Kotagiri:
Modelling Zeros in Blockmodelling. PAKDD (2) 2022: 187-198 - [i25]Caesar Wu, Kotagiri Ramamohanarao, Rui Zhang, Pascal Bouvry:
Strategic Decisions Survey, Taxonomy, and Future Directions from Artificial Intelligence Perspective. CoRR abs/2210.12373 (2022) - 2021
- [j147]Ziad Al Bkhetan, Gursharan Chana, Kotagiri Ramamohanarao, Karin Verspoor, Benjamin Goudey:
Evaluation of consensus strategies for haplotype phasing. Briefings Bioinform. 22(4) (2021) - [j146]Ziad Al Bkhetan, Gursharan Chana, Cheng Soon Ong, Benjamin Goudey, Kotagiri Ramamohanarao:
eQTLHap: a tool for comprehensive eQTL analysis considering haplotypic and genotypic effects. Briefings Bioinform. 22(5) (2021) - [j145]Md. Redowan Mahmud, Kotagiri Ramamohanarao, Rajkumar Buyya:
Application Management in Fog Computing Environments: A Taxonomy, Review and Future Directions. ACM Comput. Surv. 53(4): 88:1-88:43 (2021) - [j144]Haolong Xiang, Jiayu Wang, Kotagiri Ramamohanarao, Zoran Salcic, Wanchun Dou, Xuyun Zhang:
Isolation Forest Based Anomaly Detection Framework on Non-IID Data. IEEE Intell. Syst. 36(3): 31-40 (2021) - [j143]Sadegh Motallebi, Hairuo Xie, Egemen Tanin, Jianzhong Qi, Kotagiri Ramamohanarao:
Route intersection reduction with connected autonomous vehicles. GeoInformatica 25(1): 99-125 (2021) - [j142]Soheila Ghane, Lars Kulik, Kotagiri Ramamohanarao:
A differentially private algorithm for range queries on trajectories. Knowl. Inf. Syst. 63(2): 277-303 (2021) - [j141]Tabinda Sarwar, Ye Tian, B. T. Thomas Yeo, Kotagiri Ramamohanarao, Andrew Zalesky:
Structure-function coupling in the human connectome: A machine learning approach. NeuroImage 226: 117609 (2021) - [j140]Caesar Wu, Adel Nadjaran Toosi, Rajkumar Buyya, Kotagiri Ramamohanarao:
Hedonic Pricing of Cloud Computing Services. IEEE Trans. Cloud Comput. 9(1): 182-196 (2021) - [j139]Soheila Ghane, Alireza Jolfaei, Lars Kulik, Kotagiri Ramamohanarao, Deepak Puthal:
Preserving Privacy in the Internet of Connected Vehicles. IEEE Trans. Intell. Transp. Syst. 22(8): 5018-5027 (2021) - [j138]Sara Kardani-Moghaddam, Rajkumar Buyya, Kotagiri Ramamohanarao:
ADRL: A Hybrid Anomaly-Aware Deep Reinforcement Learning-Based Resource Scaling in Clouds. IEEE Trans. Parallel Distributed Syst. 32(3): 514-526 (2021) - [j137]Shashikant Ilager, Kotagiri Ramamohanarao, Rajkumar Buyya:
Thermal Prediction for Efficient Energy Management of Clouds Using Machine Learning. IEEE Trans. Parallel Distributed Syst. 32(5): 1044-1056 (2021) - [c293]Sadegh Motallebi, Hairuo Xie, Egemen Tanin, Kotagiri Ramamohanarao:
Traffic Congestion Aware Route Assignment. GIScience (I) 2021: 9:1-9:15 - [c292]Abdullah AlDwyish, Egemen Tanin, Hairuo Xie, Shanika Karunasekera, Kotagiri Ramamohanarao:
Effective Traffic Forecasting with Multi-Resolution Learning. SSTD 2021: 44-53 - 2020
- [j136]Caesar Wu, Rajkumar Buyya, Kotagiri Ramamohanarao:
Cloud Pricing Models: Taxonomy, Survey, and Interdisciplinary Challenges. ACM Comput. Surv. 52(6): 108:1-108:36 (2020) - [j135]Caesar Wu, Rajkumar Buyya, Kotagiri Ramamohanarao:
Modeling cloud business customers' utility functions. Future Gener. Comput. Syst. 105: 737-753 (2020) - [j134]Soheila Ghane, Lars Kulik, Kotagiri Ramamohanarao:
TGM: A Generative Mechanism for Publishing Trajectories With Differential Privacy. IEEE Internet Things J. 7(4): 2611-2621 (2020) - [j133]Oleksii Vedernikov, Lars Kulik, Kotagiri Ramamohanarao:
Optimal route planning for stochastic time-dependent hitchhiker's problem. J. Locat. Based Serv. 14(1): 1-27 (2020) - [j132]Md. Redowan Mahmud, Satish Narayana Srirama, Kotagiri Ramamohanarao, Rajkumar Buyya:
Profit-aware application placement for integrated Fog-Cloud computing environments. J. Parallel Distributed Comput. 135: 177-190 (2020) - [j131]Masoomeh Zameni, Amin Sadri, Zahra Ghafoori, Masud Moshtaghi, Flora D. Salim, Christopher Leckie, Kotagiri Ramamohanarao:
Unsupervised online change point detection in high-dimensional time series. Knowl. Inf. Syst. 62(2): 719-750 (2020) - [j130]Yunzhe Jia, James Bailey, Kotagiri Ramamohanarao, Christopher Leckie, Xingjun Ma:
Exploiting patterns to explain individual predictions. Knowl. Inf. Syst. 62(3): 927-950 (2020) - [j129]Tabinda Sarwar, Caio Seguin, Kotagiri Ramamohanarao, Andrew Zalesky:
Towards deep learning for connectome mapping: A block decomposition framework. NeuroImage 212: 116654 (2020) - [j128]Md. Redowan Mahmud, Adel Nadjaran Toosi, Kotagiri Ramamohanarao, Rajkumar Buyya:
Context-Aware Placement of Industry 4.0 Applications in Fog Computing Environments. IEEE Trans. Ind. Informatics 16(11): 7004-7013 (2020) - [j127]Chi Yang, Xianghua Xu, Kotagiri Ramamohanarao, Jinjun Chen:
A Scalable Multi-Data Sources Based Recursive Approximation Approach for Fast Error Recovery in Big Sensing Data on Cloud. IEEE Trans. Knowl. Data Eng. 32(5): 841-854 (2020) - [j126]Le-le Cao, Fuchun Sun, Ramamohanarao Kotagiri, Wenbing Huang, Weihao Cheng, Xiaolong Liu:
Real-Time Recurrent Tactile Recognition: Momentum Batch-Sequential Echo State Networks. IEEE Trans. Syst. Man Cybern. Syst. 50(4): 1350-1361 (2020) - [c291]Emir Demirovic, Peter J. Stuckey, Tias Guns, James Bailey, Christopher Leckie, Kotagiri Ramamohanarao, Jeffrey Chan:
Dynamic Programming for Predict+Optimise. AAAI 2020: 1444-1451 - [c290]Shashikant Ilager, Rajeev Muralidhar, Kotagiri Ramamohanarao, Rajkumar Buyya:
A Data-Driven Frequency Scaling Approach for Deadline-aware Energy Efficient Scheduling on Graphics Processing Units (GPUs). CCGRID 2020: 579-588 - [c289]Ang Li, Shanshan Zhao, Xingjun Ma, Mingming Gong, Jianzhong Qi, Rui Zhang, Dacheng Tao, Ramamohanarao Kotagiri:
Short-Term and Long-Term Context Aggregation Network for Video Inpainting. ECCV (4) 2020: 728-743 - [c288]Sadegh Motallebi, Hairuo Xie, Egemen Tanin, Kotagiri Ramamohanarao:
Streaming route assignment with prior temporal traffic data. IWCTS@SIGSPATIAL 2020: 7:1-7:10 - [c287]Jiacheng Cheng, Tongliang Liu, Kotagiri Ramamohanarao, Dacheng Tao:
Learning with Bounded Instance and Label-dependent Label Noise. ICML 2020: 1789-1799 - [c286]Jiayuan He, Jianzhong Qi, Kotagiri Ramamohanarao:
TimeSAN: A Time-Modulated Self-Attentive Network for Next Point-of-Interest Recommendation. IJCNN 2020: 1-8 - [c285]Jiabo He, Sarah M. Erfani, Sudanthi N. R. Wijewickrema, Stephen J. O'Leary, Kotagiri Ramamohanarao:
Segmented Pairwise Distance for Time Series with Large Discontinuities. IJCNN 2020: 1-8 - [c284]Jiabo He, Sarah M. Erfani, Sudanthi N. R. Wijewickrema, Stephen J. O'Leary, Kotagiri Ramamohanarao:
Learning Non-Unique Segmentation with Reward-Penalty Dice Loss. IJCNN 2020: 1-8 - [c283]Zhengshang Liu, Kotagiri Ramamohanarao:
Instance-Based Ensemble Selection Using Deep Reinforcement Learning. IJCNN 2020: 1-7 - [c282]Rishabh Ramteke, Peter J. Stuckey, Jeffrey Chan, Kotagiri Ramamohanarao, James Bailey, Christopher Leckie, Emir Demirovic:
Improving Single and Multi-View Blockmodelling by Algebraic Simplification. IJCNN 2020: 1-7 - [c281]Zhiheng Zhong, Jiabo He, Maria Alejandra Rodriguez, Sarah M. Erfani, Ramamohanarao Kotagiri, Rajkumar Buyya:
Heterogeneous Task Co-location in Containerized Cloud Computing Environments. ISORC 2020: 79-88 - [i24]Shashikant Ilager, Rajeev Muralidhar, Kotagiri Ramamohanarao, Rajkumar Buyya:
A Data-Driven Frequency Scaling Approach for Deadline-aware Energy Efficient Scheduling on Graphics Processing Units (GPUs). CoRR abs/2004.08177 (2020) - [i23]Md. Redowan Mahmud, Kotagiri Ramamohanarao, Rajkumar Buyya:
Application Management in Fog Computing Environments: A Taxonomy, Review and Future Directions. CoRR abs/2005.10460 (2020) - [i22]Emir Demirovic, Anna Lukina, Emmanuel Hebrard, Jeffrey Chan, James Bailey, Christopher Leckie, Kotagiri Ramamohanarao, Peter J. Stuckey:
MurTree: Optimal Classification Trees via Dynamic Programming and Search. CoRR abs/2007.12652 (2020) - [i21]Shreshth Tuli, Shashikant Ilager, Kotagiri Ramamohanarao, Rajkumar Buyya:
Dynamic Scheduling for Stochastic Edge-Cloud Computing Environments using A3C learning and Residual Recurrent Neural Networks. CoRR abs/2009.02186 (2020) - [i20]Ang Li, Shanshan Zhao, Xingjun Ma, Mingming Gong, Jianzhong Qi, Rui Zhang, Dacheng Tao, Ramamohanarao Kotagiri:
Short-Term and Long-Term Context Aggregation Network for Video Inpainting. CoRR abs/2009.05721 (2020) - [i19]Jiabo He, Sarah M. Erfani, Sudanthi N. R. Wijewickrema, Stephen J. O'Leary, Kotagiri Ramamohanarao:
Learning Non-Unique Segmentation with Reward-Penalty Dice Loss. CoRR abs/2009.10987 (2020) - [i18]Jiabo He, Sarah M. Erfani, Sudanthi N. R. Wijewickrema, Stephen J. O'Leary, Kotagiri Ramamohanarao:
Segmented Pairwise Distance for Time Series with Large Discontinuities. CoRR abs/2009.11013 (2020) - [i17]Shashikant Ilager, Kotagiri Ramamohanarao, Rajkumar Buyya:
Thermal Prediction for Efficient Energy Management of Clouds using Machine Learning. CoRR abs/2011.03649 (2020)
2010 – 2019
- 2019
- [j125]Shashikant Ilager, Kotagiri Ramamohanarao, Rajkumar Buyya:
ETAS: Energy and thermal-aware dynamic virtual machine consolidation in cloud data center with proactive hotspot mitigation. Concurr. Comput. Pract. Exp. 31(17) (2019) - [j124]Sara Kardani-Moghaddam, Rajkumar Buyya, Kotagiri Ramamohanarao:
Performance anomaly detection using isolation-trees in heterogeneous workloads of web applications in computing clouds. Concurr. Comput. Pract. Exp. 31(20) (2019) - [j123]Sara Kardani-Moghaddam, Rajkumar Buyya, Kotagiri Ramamohanarao:
Performance-Aware Management of Cloud Resources: A Taxonomy and Future Directions. ACM Comput. Surv. 52(4): 84:1-84:37 (2019) - [j122]Caesar Wu, Rajkumar Buyya, Kotagiri Ramamohanarao:
Value-based cloud price modeling for segmented business to business market. Future Gener. Comput. Syst. 101: 502-523 (2019) - [j121]Sara Kardani-Moghaddam, Rajkumar Buyya, Kotagiri Ramamohanarao:
ACAS: An anomaly-based cause aware auto-scaling framework for clouds. J. Parallel Distributed Comput. 126: 107-120 (2019) - [j120]Muneeb Ul Hassan, Mubashir Husain Rehmani, Ramamohanarao Kotagiri, Jiekui Zhang, Jinjun Chen:
Differential privacy for renewable energy resources based smart metering. J. Parallel Distributed Comput. 131: 69-80 (2019) - [j119]Md. Redowan Mahmud, Satish Narayana Srirama, Kotagiri Ramamohanarao, Rajkumar Buyya:
Quality of Experience (QoE)-aware placement of applications in Fog computing environments. J. Parallel Distributed Comput. 132: 190-203 (2019) - [j118]Sukhpal Singh Gill, Peter Garraghan, Vlado Stankovski, Giuliano Casale, Ruppa K. Thulasiram, Soumya K. Ghosh, Kotagiri Ramamohanarao, Rajkumar Buyya:
Holistic resource management for sustainable and reliable cloud computing: An innovative solution to global challenge. J. Syst. Softw. 155: 104-129 (2019) - [j117]Hairuo Xie, Egemen Tanin, Kotagiri Ramamohanarao, Shanika Karunasekera, Lars Kulik, Rui Zhang, Jianzhong Qi:
Generating traffic data for any city using SMARTS simulator. ACM SIGSPATIAL Special 11(1): 22-28 (2019) - [j116]Jun Li, Chang Xu, Wankou Yang, Changyin Sun, Ramamohanarao Kotagiri, Dacheng Tao:
ROMIR: Robust Multi-View Image Re-Ranking. IEEE Trans. Knowl. Data Eng. 31(12): 2393-2406 (2019) - [j115]Md. Redowan Mahmud, Kotagiri Ramamohanarao, Rajkumar Buyya:
Latency-Aware Application Module Management for Fog Computing Environments. ACM Trans. Internet Techn. 19(1): 9:1-9:21 (2019) - [j114]Zeyi Wen, Jiashuai Shi, Bingsheng He, Jian Chen, Kotagiri Ramamohanarao, Qinbin Li:
Exploiting GPUs for Efficient Gradient Boosting Decision Tree Training. IEEE Trans. Parallel Distributed Syst. 30(12): 2706-2717 (2019) - [j113]Oscar Correa, A. K. M. Mustafizur Rahman Khan, Egemen Tanin, Lars Kulik, Kotagiri Ramamohanarao:
Congestion-Aware Ride-Sharing. ACM Trans. Spatial Algorithms Syst. 5(1): 5:1-5:33 (2019) - [j112]Tanzima Hashem, Lars Kulik, Kotagiri Ramamohanarao, Rui Zhang, Subarna Chowdhury Soma:
Protecting privacy for distance and rank based group nearest neighbor queries. World Wide Web 22(1): 375-416 (2019) - [c280]Emir Demirovic, Peter J. Stuckey, James Bailey, Jeffrey Chan, Chris Leckie, Kotagiri Ramamohanarao, Tias Guns:
An Investigation into Prediction + Optimisation for the Knapsack Problem. CPAIOR 2019: 241-257 - [c279]Masoomeh Zameni, Zahra Ghafoori, Amin Sadri, Christopher Leckie, Kotagiri Ramamohanarao:
Change Point Detection for Streaming High-Dimensional Time Series. DASFAA (3) 2019: 515-519 - [c278]Hairuo Xie, Egemen Tanin, Shanika Karunasekera, Jianzhong Qi, Rui Zhang, Lars Kulik, Kotagiri Ramamohanarao:
Quantifying the Impact of Autonomous Vehicles using Microscopic Simulations. IWCTS@SIGSPATIAL 2019: 5:1-5:10 - [c277]Sadegh Motallebi, Hairuo Xie, Egemen Tanin, Jianzhong Qi, Kotagiri Ramamohanarao:
Streaming Route Assignment for Connected Autonomous Vehicles (Systems Paper). SIGSPATIAL/GIS 2019: 408-411 - [c276]Jiayuan He, Jianzhong Qi, Kotagiri Ramamohanarao:
A Joint Context-Aware Embedding for Trip Recommendations. ICDE 2019: 292-303 - [c275]Zeyi Wen, Dong Deng, Rui Zhang, Ramamohanarao Kotagiri:
2ED: An Efficient Entity Extraction Algorithm Using Two-Level Edit-Distance. ICDE 2019: 998-1009 - [c274]Ang Li, Jianzhong Qi, Rui Zhang, Xingjun Ma, Kotagiri Ramamohanarao:
Generative Image Inpainting with Submanifold Alignment. IJCAI 2019: 811-817 - [c273]Emir Demirovic, Peter J. Stuckey, James Bailey, Jeffrey Chan, Christopher Leckie, Kotagiri Ramamohanarao, Tias Guns:
Predict+Optimise with Ranking Objectives: Exhaustively Learning Linear Functions. IJCAI 2019: 1078-1085 - [c272]Ang Li, Jianzhong Qi, Rui Zhang, Ramamohanarao Kotagiri:
Boosted GAN with Semantically Interpretable Information for Image Inpainting. IJCNN 2019: 1-8 - [c271]Yunzhe Jia, James Bailey, Kotagiri Ramamohanarao, Christopher Leckie, Michael E. Houle:
Improving the Quality of Explanations with Local Embedding Perturbations. KDD 2019: 875-884 - [c270]Jiayuan He, Jianzhong Qi, Kotagiri Ramamohanarao:
Query-Aware Bayesian Committee Machine for Scalable Gaussian Process Regression. SDM 2019: 208-216 - [c269]Soheila Ghane Ezabadi, Alireza Jolfaei, Lars Kulik, Ramamohanarao Kotagiri:
Differentially Private Streaming to Untrusted Edge Servers in Intelligent Transportation System. TrustCom/BigDataSE 2019: 781-786 - [c268]Md. Redowan Mahmud, Kotagiri Ramamohanarao, Rajkumar Buyya:
Edge Affinity-based Management of Applications in Fog Computing Environments. UCC 2019: 61-70 - [e8]Yunjun Gao, Ralf Möller, Xindong Wu, Ramamohanarao Kotagiri:
2019 IEEE International Conference on Big Knowledge, ICBK 2019, Beijing, China, November 10-11, 2019. IEEE 2019, ISBN 978-1-7281-4607-2 [contents] - [i16]Soheila Ghane, Lars Kulik, Kotagiri Ramamohanarao:
A Differentially Private Algorithm for Range Queries on Trajectories. CoRR abs/1907.08038 (2019) - [i15]Ang Li, Jianzhong Qi, Rui Zhang, Xingjun Ma, Kotagiri Ramamohanarao:
Generative Image Inpainting with Submanifold Alignment. CoRR abs/1908.00211 (2019) - [i14]Ang Li, Jianzhong Qi, Rui Zhang, Ramamohanarao Kotagiri:
Boosted GAN with Semantically Interpretable Information for Image Inpainting. CoRR abs/1908.04503 (2019) - 2018
- [j111]Nagesh Panyam Chandrasekarasastry, Karin Verspoor, Trevor Cohn, Kotagiri Ramamohanarao:
Exploiting graph kernels for high performance biomedical relation extraction. J. Biomed. Semant. 9(1): 7:1-7:11 (2018) - [j110]Md. Akter Hussain, Alauddin Bhuiyan, Hiroshi Ishikawa, R. Theodore Smith, Joel S. Schuman, Kotagiri Ramamohanarao:
An automated method for choroidal thickness measurement from Enhanced Depth Imaging Optical Coherence Tomography images. Comput. Medical Imaging Graph. 63: 41-51 (2018) - [j109]Le-le Cao, Fuchun Sun, Xiaolong Liu, Wen-bing Huang, Ramamohanarao Kotagiri, Hongbo Li:
End-to-End ConvNet for Tactile Recognition Using Residual Orthogonal Tiling and Pyramid Convolution Ensemble. Cogn. Comput. 10(5): 718-736 (2018) - [j108]Qian Liu, Shameek Ghosh, Jinyan Li, Limsoon Wong, Kotagiri Ramamohanarao:
Discovering pan-correlation patterns from time course data sets by efficient mining algorithms. Computing 100(4): 421-437 (2018) - [j107]Jianzhong Qi, Rui Zhang, Christian S. Jensen, Kotagiri Ramamohanarao, Jiayuan He:
Continuous Spatial Query Processing: A Survey of Safe Region Based Techniques. ACM Comput. Surv. 51(3): 64:1-64:39 (2018) - [j106]Maria Alejandra Rodriguez, Ramamohanarao Kotagiri, Rajkumar Buyya:
Detecting performance anomalies in scientific workflows using hierarchical temporal memory. Future Gener. Comput. Syst. 88: 624-635 (2018) - [j105]Dheeraj Kumar, Zahra Ghafoori, James C. Bezdek, Christopher Leckie, Kotagiri Ramamohanarao, Marimuthu Palaniswami:
Dealing with Inliers in Feature Vector Data. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 26(Supplement-2): 25-45 (2018) - [j104]Neelofar, Lee Naish, Kotagiri Ramamohanarao:
Spectral-based fault localization using hyperbolic function. Softw. Pract. Exp. 48(3): 641-664 (2018) - [j103]Zeyi Wen, Rui Zhang, Kotagiri Ramamohanarao, Li Yang:
Scalable and fast SVM regression using modern hardware. World Wide Web 21(2): 261-287 (2018) - [c267]Weihao Cheng, Sarah M. Erfani, Rui Zhang, Ramamohanarao Kotagiri:
Learning Datum-Wise Sampling Frequency for Energy-Efficient Human Activity Recognition. AAAI 2018: 2143-2150 - [c266]Hairuo Xie, Egemen Tanin, Shanika Karunasekera, Lars Kulik, Rui Zhang, Jianzhong Qi, Kotagiri Ramamohanarao:
Studying transportation problems with the SMARTS simulator (demo paper). SIGSPATIAL/GIS 2018: 580-583 - [c265]Oscar Correa, Egemen Tanin, Lars Kulik, Kotagiri Ramamohanarao:
Activity-based ride-sharing in action (demo paper). SIGSPATIAL/GIS 2018: 608-611 - [c264]Ramamohanarao Kotagiri:
Automatic Optical Coherence Tomography Imaging Analysis for Retinal Disease Screening Using Machine Learning Techniques. ICDM 2018: 5 - [c263]Caesar Wu, Rajkumar Buyya, Kotagiri Ramamohanarao:
Cloud Computing Market Segmentation. ICSOFT 2018: 922-931 - [c262]Weihao Cheng, Sarah M. Erfani, Rui Zhang, Ramamohanarao Kotagiri:
Predicting Complex Activities from Ongoing Multivariate Time Series. IJCAI 2018: 3322-3328 - [c261]Zeyi Wen, Bingsheng He, Ramamohanarao Kotagiri, Shengliang Lu, Jiashuai Shi:
Efficient Gradient Boosted Decision Tree Training on GPUs. IPDPS 2018: 234-243 - [c260]Zay Maung Maung Aye, Benjamin I. P. Rubinstein, Kotagiri Ramamohanarao:
Fast Manifold Landmarking Using Locality-Sensitive Hashing. PAKDD (3) 2018: 452-464 - [c259]Xiaojie Wang, Jianzhong Qi, Kotagiri Ramamohanarao, Yu Sun, Bo Li, Rui Zhang:
A Joint Optimization Approach for Personalized Recommendation Diversification. PAKDD (3) 2018: 597-609 - [c258]Binshuai Wang, Xianglong Liu, Ke Xia, Kotagiri Ramamohanarao, Dacheng Tao:
Random Angular Projection for Fast Nearest Subspace Search. PCM (1) 2018: 15-26 - [c257]Mohadeseh Ganji, Jeffrey Chan, Peter J. Stuckey, James Bailey, Christopher Leckie, Kotagiri Ramamohanarao, Laurence A. F. Park:
Semi-supervised Blockmodelling with Pairwise Guidance. ECML/PKDD (2) 2018: 158-174 - [c256]Masoomeh Zameni, Mengyi He, Masud Moshtaghi, Zahra Ghafoori, Christopher Leckie, James C. Bezdek, Kotagiri Ramamohanarao:
Urban Sensing for Anomalous Event Detection: - Distinguishing Between Legitimate Traffic Changes and Abnormal Traffic Variability. ECML/PKDD (3) 2018: 553-568 - [c255]