Avinash Achar

According to our database, Avinash Achar authored at least 17 papers between 2006 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

Public Transit Arrival Prediction: a Seq2Seq RNN Approach.

Nancy Bhutani, Soumen Pachal, Avinash Achar

CoRR, 2022

Seasonal Encoder-Decoder Architecture for Forecasting.

Avinash Achar, Soumen Pachal

CoRR, 2022

Sequence Prediction under Missing Data: An RNN Approach without Imputation.

Soumen Pachal, Avinash Achar

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2020

Bus Arrival Time Prediction: A Spatial Kalman Filter Approach.

Avinash Achar, Dhivya Bharathi, B. Anil Kumar, Lelitha Vanajakshi

IEEE Trans. Intell. Transp. Syst., 2020

Dynamic Bus Arrival Time Prediction: A temporal difference learning approach.

L. K. P. Vignesh, Avinash Achar, Gokul Karthik

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2019

Discovering frequent chain episodes.

Avinash Achar, P. S. Sastry

Knowl. Inf. Syst., 2019

A Seasonal Modelling Approach Capturing Spatio-Temporal Correlations for Dynamic Bus Travel Time Prediction.

B. Anil Kumar, Avinash Achar, Dhivya Bharathi, Lelitha Vanajakshi

Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019

Dynamic Bus Arrival Time Prediction exploiting Non-linear Correlations.

Avinash Achar, Rohith Regikumar, B. Anil Kumar

Proceedings of the International Joint Conference on Neural Networks, 2019

lEarn: A Reinforcement Learning Based Bidding Strategy for Generators in Single sided Energy Markets.

Easwar Subramanian, Yogesh Bichpuriya, Avinash Achar, Sanjay P. Bhat, Abhay Pratap Singh, Venkatesh Sarangan, Akshaya Natarajan

Proceedings of the Tenth ACM International Conference on Future Energy Systems, 2019

2018

Predicting Vehicular Travel Times by Modeling Heterogeneous Influences Between Arterial Roads.

Avinash Achar, Venkatesh Sarangan, Rohith Regikumar, Anand Sivasubramaniam

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2015

Statistical significance of episodes with general partial orders.

Avinash Achar, P. S. Sastry

Inf. Sci., 2015

2013

Pattern-growth based frequent serial episode discovery.

Avinash Achar, A. Ibrahim, P. S. Sastry

Data Knowl. Eng., 2013

2012

A unified view of the apriori-based algorithms for frequent episode discovery.

Avinash Achar, Srivatsan Laxman, P. S. Sastry

Knowl. Inf. Syst., 2012

Discovering injective episodes with general partial orders.

Avinash Achar, Srivatsan Laxman, Raajay Viswanathan, P. S. Sastry

Data Min. Knowl. Discov., 2012

2010

A unified view of Automata-based algorithms for Frequent Episode Discovery

Avinash Achar, Srivatsan Laxman, P. S. Sastry

CoRR, 2010

2009

Discovering general partial orders in event streams

Avinash Achar, Srivatsan Laxman, V. Raajay, P. S. Sastry

CoRR, 2009

2006

Integrative Array Analyzer: a software package for analysis of cross-platform and cross-species microarray data.

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

Bioinform., 2006