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Avinash Achar
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2020 – today
- 2022
- [c6]Soumen Pachal, Avinash Achar:
Sequence Prediction under Missing Data: An RNN Approach without Imputation. CIKM 2022: 1605-1614 - [i6]Avinash Achar, Soumen Pachal:
Seasonal Encoder-Decoder Architecture for Forecasting. CoRR abs/2207.04113 (2022) - [i5]Soumen Pachal, Avinash Achar:
Sequence Prediction Under Missing Data : An RNN Approach Without Imputation. CoRR abs/2208.08933 (2022) - [i4]Nancy Bhutani, Soumen Pachal, Avinash Achar:
Public Transit Arrival Prediction: a Seq2Seq RNN Approach. CoRR abs/2210.01655 (2022) - 2020
- [j7]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): 1298-1307 (2020) - [c5]L. K. P. Vignesh, Avinash Achar, Gokul Karthik
:
Dynamic Bus Arrival Time Prediction: A temporal difference learning approach. IJCNN 2020: 1-8
2010 – 2019
- 2019
- [j6]Avinash Achar
, P. S. Sastry:
Discovering frequent chain episodes. Knowl. Inf. Syst. 60(1): 447-494 (2019) - [c4]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: 121-127 - [c3]Avinash Achar, Rohith Regikumar, B. Anil Kumar:
Dynamic Bus Arrival Time Prediction exploiting Non-linear Correlations. IJCNN 2019: 1-8 - [c2]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: 503-508 - 2018
- [c1]Avinash Achar, Venkatesh Sarangan, Rohith Regikumar, Anand Sivasubramaniam:
Predicting Vehicular Travel Times by Modeling Heterogeneous Influences Between Arterial Roads. AAAI 2018: 2063-2070 - 2017
- [i3]Avinash Achar, Venkatesh Sarangan, Rohith Regikumar, Anand Sivasubramaniam:
Predicting vehicular travel times by modeling heterogeneous influences between arterial roads. CoRR abs/1711.05767 (2017) - 2015
- [j5]Avinash Achar, P. S. Sastry:
Statistical significance of episodes with general partial orders. Inf. Sci. 296: 175-200 (2015) - 2013
- [j4]Avinash Achar, A. Ibrahim, P. S. Sastry:
Pattern-growth based frequent serial episode discovery. Data Knowl. Eng. 87: 91-108 (2013) - 2012
- [j3]Avinash Achar, Srivatsan Laxman, Raajay Viswanathan, P. S. Sastry:
Discovering injective episodes with general partial orders. Data Min. Knowl. Discov. 25(1): 67-108 (2012) - [j2]Avinash Achar, Srivatsan Laxman, P. S. Sastry:
A unified view of the apriori-based algorithms for frequent episode discovery. Knowl. Inf. Syst. 31(2): 223-250 (2012) - 2010
- [i2]Avinash Achar, Srivatsan Laxman, P. S. Sastry:
A unified view of Automata-based algorithms for Frequent Episode Discovery. CoRR abs/1007.0690 (2010)
2000 – 2009
- 2009
- [i1]Avinash Achar, Srivatsan Laxman, V. Raajay, P. S. Sastry:
Discovering general partial orders in event streams. CoRR abs/0902.1227 (2009) - 2006
- [j1]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): 1665-1667 (2006)
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