Avinash Achar

Publication Activity (10 Years)

Years Active: 2006-2022
Publications (10 Years): 13

Top Topics

Temporal Difference Learning

Discovering Frequent

Sequence Prediction

Top Venues

Publications

Soumen Pachal, Avinash Achar
Sequence Prediction under Missing Data: An RNN Approach without Imputation. CIKM (2022)
Soumen Pachal, Avinash Achar
Sequence Prediction Under Missing Data : An RNN Approach Without Imputation. CoRR (2022)
Avinash Achar, Soumen Pachal
Seasonal Encoder-Decoder Architecture for Forecasting. CoRR (2022)
Nancy Bhutani, Soumen Pachal, Avinash Achar
Public Transit Arrival Prediction: a Seq2Seq RNN Approach. CoRR (2022)
Avinash Achar, Dhivya Bharathi, B. Anil Kumar, Lelitha Vanajakshi
Bus Arrival Time Prediction: A Spatial Kalman Filter Approach. IEEE Trans. Intell. Transp. Syst. 21 (3) (2020)
L. K. P. Vignesh, Avinash Achar, Gokul Karthik
Dynamic Bus Arrival Time Prediction: A temporal difference learning approach. IJCNN (2020)
Avinash Achar, Rohith Regikumar, B. Anil Kumar
Dynamic Bus Arrival Time Prediction exploiting Non-linear Correlations. IJCNN (2019)
B. Anil Kumar, Avinash Achar, Dhivya Bharathi, Lelitha Vanajakshi
A Seasonal Modelling Approach Capturing Spatio-Temporal Correlations for Dynamic Bus Travel Time Prediction. ITSC (2019)
Avinash Achar, P. S. Sastry
Discovering frequent chain episodes. Knowl. Inf. Syst. 60 (1) (2019)
Easwar Subramanian, Yogesh Bichpuriya, Avinash Achar, Sanjay P. Bhat, Abhay Pratap Singh, Venkatesh Sarangan, Akshaya Natarajan
lEarn: A Reinforcement Learning Based Bidding Strategy for Generators in Single sided Energy Markets. e-Energy (2019)
Avinash Achar, Venkatesh Sarangan, Rohith Regikumar, Anand Sivasubramaniam
Predicting Vehicular Travel Times by Modeling Heterogeneous Influences Between Arterial Roads. AAAI (2018)
Avinash Achar, Venkatesh Sarangan, Rohith Regikumar, Anand Sivasubramaniam
Predicting vehicular travel times by modeling heterogeneous influences between arterial roads. CoRR (2017)
Avinash Achar, P. S. Sastry
Statistical significance of episodes with general partial orders. Inf. Sci. 296 (2015)
Avinash Achar, A. Ibrahim, P. S. Sastry
Pattern-growth based frequent serial episode discovery. Data Knowl. Eng. 87 (2013)
Avinash Achar, Srivatsan Laxman, Raajay Viswanathan, P. S. Sastry
Discovering injective episodes with general partial orders. Data Min. Knowl. Discov. 25 (1) (2012)
Avinash Achar, Srivatsan Laxman, P. S. Sastry
A unified view of the apriori-based algorithms for frequent episode discovery. Knowl. Inf. Syst. 31 (2) (2012)
Avinash Achar, Srivatsan Laxman, P. S. Sastry
A unified view of Automata-based algorithms for Frequent Episode Discovery CoRR (2010)
Avinash Achar, Srivatsan Laxman, V. Raajay, P. S. Sastry
Discovering general partial orders in event streams CoRR (2009)
Fei Pan, Kiran Kamath, Kangyu Zhang, Sudip Pulapura, Avinash Achar, Juan Nunez-Iglesias, Yu Huang, Xifeng Yan, Jiawei Han, Haiyan Hu, Min Xu, Jianjun Hu, Xianghong Jasmine Zhou
Integrative Array Analyzer: a software package for analysis of cross-platform and cross-species microarray data. Bioinform. 22 (13) (2006)