Rage Uday Kiran

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 48

Top Topics

Temporal Databases

Top Venues

Publications

Minh-Son Dao, Michael Alexander Riegler, Duc-Tien Dang-Nguyen, Hanh-Nhi Tran, Rage Uday Kiran, Takahiro Komamizu
ICDAR 24: Intelligent Cross-Data Analysis and Retrieval. ICMR (2024)
Zenghui Xu, Mingzhang Li, Ting Yu, Linlin Hou, Peng Zhang, Rage Uday Kiran, Zhao Li, Ji Zhang
A Novel Multi-scale Spatiotemporal Graph Neural Network for Epidemic Prediction. DEXA (2) (2024)
Pamalla Veena, Rage Uday Kiran, Penugonda Ravikumar, Likhitha Palla, Yutaka Watanobe, Sadanori Ito, Koji Zettsu, Masashi Toyoda, Bathala Venus Vikranth Raj
3P-ECLAT: mining partial periodic patterns in columnar temporal databases. Appl. Intell. 54 (1) (2024)
Ji Zhang, Qiliang Liang, Mohamed Jaward Bah, Hongzhou Li, Liang Chang, Rage Uday Kiran
Discriminative boundary generation for effective outlier detection. Knowl. Inf. Syst. 66 (5) (2024)
Kazuki Tejima, Deepika Saxena, Rage Uday Kiran
A Novel Multi-task Single-Step Traffic Congestion Forecasting Framework for Large-Scale Road Networks. IEA/AIE (2024)
Phuc-Thinh Nguyen, Minh-Son Dao, Michael A. Riegler, Rage Uday Kiran, Thai-Thinh Dang, Duy-Dong Le, Kieu-Chinh Nguyen-Ly, Thanh-Qui Pham, Van-Luong Nguyen
Training Performance Indications for Amateur Athletes Based on Nutrition and Activity Lifelogs. Algorithms 16 (1) (2023)
Pamalla Veena, Rage Uday Kiran, Penugonda Ravikumar, Likhitha Palla, Yuto Hayamizu, Kazuo Goda, Masashi Toyoda, Koji Zettsu, Sourabh Shrivastava
A fundamental approach to discover closed periodic-frequent patterns in very large temporal databases. Appl. Intell. 53 (22) (2023)
Rage Uday Kiran, Abinash Maharana, Krishna Reddy Polepalli
A Novel Explainable Link Forecasting Framework for Temporal Knowledge Graphs Using Time-Relaxed Cyclic and Acyclic Rules. PAKDD (1) (2023)
José María Luna, Rage Uday Kiran, Philippe Fournier-Viger, Sebastián Ventura
high utility itemsets through genetic algorithms. Inf. Sci. 624 (2023)
Genki Kimura, Yuto Hayamizu, Rage Uday Kiran, Masaru Kitsuregawa, Kazuo Goda
Efficient Parallel Mining of High-utility Itemsets on Multicore Processors. ICDE (2023)
Genki Kimura, Yuto Hayamizu, Rage Uday Kiran, Masaru Kitsuregawa, Kazuo Goda
Efficient Parallel Mining of High-utility Itemsets on Multicore Processors. ICDE (2023)
Palla Likhitha, Penugonda Ravikumar, Deepika Saxena, Rage Uday Kiran, Yutaka Watanobe
k-PFPMiner: Top-k Periodic Frequent Patterns in Big Temporal Databases. IEEE Access 11 (2023)
Shota Suzuki, Rage Uday Kiran
Towards Efficient Discovery of Spatially Interesting Patterns in Geo-referenced Sequential Databases. SSDBM (2023)
Vipul Chhabra, Rage Uday Kiran, Abinash Maharana, Juan Xiao, Krishna Reddy Polepalli, Ram Avtar, Yoshiko Ogawa, Makiko Ohtake
A Novel Parallel Spatiotemporal Image Fusion Method for Predicting High-Resolution Satellite Images. IEA/AIE (1) (2023)
Hong N. Dao, Penugonda Ravikumar, Palla Likhitha, Rage Uday Kiran, Yutaka Watanobe, Incheon Paik
Finding Stable Periodic-Frequent Itemsets in Big Columnar Databases. IEEE Access 11 (2023)
Rage Uday Kiran, Pamalla Veena, Penugonda Ravikumar, Bathala Venus Vikranth Raj, Minh-Son Dao, Koji Zettsu, Sai Chithra Bommisetti
HDSHUI-miner: a novel algorithm for discovering spatial high-utility itemsets in high-dimensional spatiotemporal databases. Appl. Intell. 53 (8) (2023)
Palla Likhitha, Pamalla Veena, Rage Uday Kiran, Koji Zettsu
Discovering Geo-referenced Frequent Patterns in Uncertain Geo-referenced Transactional Databases. PAKDD (3) (2023)
Pamalla Veena, Sreepada Tarun, Rage Uday Kiran, Minh-Son Dao, Koji Zettsu, Yutaka Watanobe, Ji Zhang
Mining Periodic-Frequent Patterns in Irregular Dense Temporal Databases Using Set Complements. IEEE Access 11 (2023)
Juan Xiao, Ashwani Kumar Aggarwal, Rage Uday Kiran, Vaibhav Katiyar, Ram Avtar
Deep Learning-Based Spatiotemporal Fusion of Unmanned Aerial Vehicle and Satellite Reflectance Images for Crop Monitoring. IEEE Access 11 (2023)
Palla Likhitha, Rage Uday Kiran
Discovering Top-K Partial Periodic Patterns in Big Temporal Databases. DEXA (1) (2023)
Sreepada Tarun, Rage Uday Kiran, Yutaka Watanobe, Kazuo Goda
A Novel GPU-Accelerated Algorithm to Discover Periodic-Frequent Patterns in Temporal Databases. Big Data (2022)
Md. Mostafizer Rahman, Yutaka Watanobe, Taku Matsumoto, Rage Uday Kiran, Keita Nakamura
Educational Data Mining to Support Programming Learning Using Problem-Solving Data. IEEE Access 10 (2022)
Qiliang Liang, Ji Zhang, Mohamed Jaward Bah, Hongzhou Li, Liang Chang, Rage Uday Kiran
Effective and Robust Boundary-Based Outlier Detection Using Generative Adversarial Networks. DEXA (2) (2022)
Truong Cong Thang, Yutaka Watanobe, Rage Uday Kiran, Incheon Paik
Towards QoE Management for Post-Pandemic Online Learning : Invited Paper. KSE (2022)
Yutaka Watanobe, Md. Mostafizer Rahman, Taku Matsumoto, Rage Uday Kiran, Penugonda Ravikumar
Online Judge System: Requirements, Architecture, and Experiences. Int. J. Softw. Eng. Knowl. Eng. 32 (6) (2022)
Palla Likhitha, Penugonda Ravikumar, Rage Uday Kiran, Yutaka Watanobe
Discovering Top-k Periodic-Frequent Patterns in Very Large Temporal Databases. BDA (2022)
Palla Likhitha, Rage Uday Kiran
Towards developing energy efficient algorithms to discover partial periodic patterns in big temporal databases. SIGSPATIAL/GIS (2022)
Philippe Fournier-Viger, Ying Wang, Peng Yang, Jerry Chun-Wei Lin, Unil Yun, Rage Uday Kiran
TSPIN: mining top-k stable periodic patterns. Appl. Intell. 52 (6) (2022)
Penugonda Ravikumar, Bathala Venus Vikranth Raj, Palla Likhitha, Rage Uday Kiran, Yutaka Watanobe, Sadanori Ito, Koji Zettsu, Masashi Toyoda
Towards Efficient Discovery of Partial Periodic Patterns in Columnar Temporal Databases. ACIIDS (2) (2022)
Palla Likhitha, Rage Veena, Rage Uday Kiran, Koji Zettsu, Masashi Toyoda, Philippe Fournier-Viger
UPFP-growth++: An Efficient Algorithm to Find Periodic-Frequent Patterns in Uncertain Temporal Databases. ICONIP (5) (2022)
Minh-Son Dao, Koji Zettsu, Rage Uday Kiran
IMAGE-2-AQI: Aware of the Surrounding Air Qualification by a Few Images. IEA/AIE (2) (2021)
Sai Chithra Bommisetty, Penugonda Ravikumar, Rage Uday Kiran, Minh-Son Dao, Koji Zettsu
Discovering Spatial High Utility Itemsets in High-Dimensional Spatiotemporal Databases. IEA/AIE (1) (2021)
Md. Mostafizer Rahman, Yutaka Watanobe, Rage Uday Kiran, Keita Nakamura
A Novel Rule-Based Online Judge Recommender System to Promote Computer Programming Education. IEA/AIE (2) (2021)
Philippe Fournier-Viger, Peng Yang, Rage Uday Kiran, Sebastián Ventura, José María Luna
Mining local periodic patterns in a discrete sequence. Inf. Sci. 544 (2021)
Md. Mostafizer Rahman, Yutaka Watanobe, Rage Uday Kiran, Truong Cong Thang, Incheon Paik
Impact of Practical Skills on Academic Performance: A Data-Driven Analysis. IEEE Access 9 (2021)
Tuan-Vinh La, Minh-Son Dao, Kazuki Tejima, Rage Uday Kiran, Koji Zettsu
Improving the Awareness of Sustainable Smart Cities by Analyzing Lifelog Images and IoT Air Pollution Data. IEEE BigData (2021)
Md. Mostafizer Rahman, Yutaka Watanobe, Rage Uday Kiran, Truong Cong Thang, Incheon Paik
Challenges and Exit Strategies for Adapting Interactive Online Education Amid the Pandemic and its Aftermath. TALE (2021)
Penugonda Ravikumar, Likhitha Palla, Rage Uday Kiran, Yutaka Watanobe, Koji Zettsu
Towards Efficient Discovery of Periodic-Frequent Patterns in Columnar Temporal Databases. IEA/AIE (1) (2021)
Mohit Dandekar, Narinder Singh Punn, Sanjay Kumar Sonbhadra, Sonali Agarwal, Rage Uday Kiran
Fruit classification using deep feature maps in the presence of deceptive similar classes. IJCNN (2021)
Md. Mostafizer Rahman, Yutaka Watanobe, Rage Uday Kiran, Raihan Kabir
A Stacked Bidirectional LSTM Model for Classifying Source Codes Built in MPLs. PKDD/ECML Workshops (2) (2021)
Zhen Wang, Ji Zhang, Yizheng Chen, Chenhao Lu, Jerry Chun-Wei Lin, Jing Xiao, Rage Uday Kiran
Learning Probabilistic Latent Structure for Outlier Detection from Multi-view Data. PAKDD (1) (2021)
Yutaka Watanobe, Md. Mostafizer Rahman, Rage Uday Kiran, Penugonda Ravikumar
Online Automatic Assessment System for Program Code: Architecture and Experiences. IEA/AIE (2) (2021)
Philippe Fournier-Viger, Peng Yang, Zhitian Li, Jerry Chun-Wei Lin, Rage Uday Kiran
Discovering rare correlated periodic patterns in multiple sequences. Data Knowl. Eng. 126 (2020)
Philippe Fournier-Viger, Peng Yang, Jerry Chun-Wei Lin, Rage Uday Kiran
Discovering Stable Periodic-Frequent Patterns in Transactional Data. IEA/AIE (2019)
C. Saideep, Rage Uday Kiran, Koji Zettsu, Philippe Fournier-Viger, Masaru Kitsuregawa, P. Krishna Reddy
Discovering Periodic Patterns in Irregular Time Series. ICDM Workshops (2019)
Philippe Fournier-Viger, Zhitian Li, Jerry Chun-Wei Lin, Rage Uday Kiran, Hamido Fujita
Efficient algorithms to identify periodic patterns in multiple sequences. Inf. Sci. 489 (2019)
Rage Uday Kiran, P. P. C. Reddy, Koji Zettsu, Masashi Toyoda, Masaru Kitsuregawa, P. Krishna Reddy
Discovering Spatial Weighted Frequent Itemsets in Spatiotemporal Databases. ICDM Workshops (2019)
Philippe Fournier-Viger, Zhitian Li, Jerry Chun-Wei Lin, Rage Uday Kiran, Hamido Fujita
Discovering Periodic Patterns Common to Multiple Sequences. DaWaK (2018)
Rage Uday Kiran, Masaru Kitsuregawa
Efficient discovery of correlated patterns using multiple minimum all-confidence thresholds. J. Intell. Inf. Syst. 45 (3) (2015)
Bhargav Sripada, Polepalli Krishna Reddy, Rage Uday Kiran
Coverage patterns for efficient banner advertisement placement. WWW (Companion Volume) (2011)