Avinash Achar

24 papers A* 1A 1B 3C 2Journal 14Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
Generalized Random Direction Newton Algorithms for Stochastic Optimization.
CoRR
Soumen Pachal, Prashanth L. A., Shalabh Bhatnagar, Avinash Achar
2026 — conf
Non-overlapped Frequency based Episode Significance under Markov Null Models.
KDD (1)
Avinash Achar, Santhosh B. Gandreti, Subbayya Sastry Pidaparthy
2025 B conf
SEDX: Seasonal Encoder-Decoder for Forecasting.
IJCNN
Avinash Achar, Soumen Pachal, Subhadeep Banik
2024 C conf
GRU-M: A Joint Impute and Learn Approach for Sequential Prediction under Missing Data.
ACML
Soumen Pachal, Avinash Achar, Nancy Bhutani, Akash Das
2024 C conf
Seq2Seq RNNs for Bus Arrival Time Prediction.
PKAW
Nancy Bhutani, Soumen Pachal, Avinash Achar
2022 J jnl
Public Transit Arrival Prediction: a Seq2Seq RNN Approach.
CoRR
Nancy Bhutani, Soumen Pachal, Avinash Achar
2022 J jnl
Seasonal Encoder-Decoder Architecture for Forecasting.
CoRR
Avinash Achar, Soumen Pachal
2022 J jnl
Sequence Prediction Under Missing Data : An RNN Approach Without Imputation.
CoRR
Soumen Pachal, Avinash Achar
2022 A conf
Sequence Prediction under Missing Data: An RNN Approach without Imputation.
CIKM
Soumen Pachal, Avinash Achar
2020 J jnl
Bus Arrival Time Prediction: A Spatial Kalman Filter Approach.
IEEE Trans. Intell. Transp. Syst.
Avinash Achar, Dhivya Bharathi, B. Anil Kumar, Lelitha Vanajakshi
2020 B conf
Dynamic Bus Arrival Time Prediction: A temporal difference learning approach.
IJCNN
L. K. P. Vignesh, Avinash Achar, Gokul Karthik
2019 — conf
A Seasonal Modelling Approach Capturing Spatio-Temporal Correlations for Dynamic Bus Travel Time Prediction.
ITSC
B. Anil Kumar, Avinash Achar, Dhivya Bharathi, Lelitha Vanajakshi
2019 J jnl
Discovering frequent chain episodes.
Knowl. Inf. Syst.
Avinash Achar, P. S. Sastry
2019 B conf
Dynamic Bus Arrival Time Prediction exploiting Non-linear Correlations.
IJCNN
Avinash Achar, Rohith Regikumar, B. Anil Kumar
2019 — conf
lEarn: A Reinforcement Learning Based Bidding Strategy for Generators in Single sided Energy Markets.
e-Energy
Easwar Subramanian, Yogesh Bichpuriya, Avinash Achar, Sanjay P. Bhat, Abhay Pratap Singh, Venkatesh Sarangan, Akshaya Natarajan
2018 A* conf
Predicting Vehicular Travel Times by Modeling Heterogeneous Influences Between Arterial Roads.
AAAI
Avinash Achar, Venkatesh Sarangan, Rohith Regikumar, Anand Sivasubramaniam
2017 J jnl
Predicting vehicular travel times by modeling heterogeneous influences between arterial roads.
CoRR
Avinash Achar, Venkatesh Sarangan, Rohith Regikumar, Anand Sivasubramaniam
2015 J jnl
Statistical significance of episodes with general partial orders.
Inf. Sci.
Avinash Achar, P. S. Sastry
2013 J jnl
Pattern-growth based frequent serial episode discovery.
Data Knowl. Eng.
Avinash Achar, A. Ibrahim, P. S. Sastry
2012 J jnl
A unified view of the apriori-based algorithms for frequent episode discovery.
Knowl. Inf. Syst.
Avinash Achar, Srivatsan Laxman, P. S. Sastry
2012 J jnl
Discovering injective episodes with general partial orders.
Data Min. Knowl. Discov.
Avinash Achar, Srivatsan Laxman, Raajay Viswanathan, P. S. Sastry
2010 J jnl
A unified view of Automata-based algorithms for Frequent Episode Discovery
CoRR
Avinash Achar, Srivatsan Laxman, P. S. Sastry
2009 J jnl
Discovering general partial orders in event streams
CoRR
Avinash Achar, Srivatsan Laxman, V. Raajay, P. S. Sastry
2006 J jnl
Integrative Array Analyzer: a software package for analysis of cross-platform and cross-species microarray data.
Bioinform.
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