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 003; Xifeng Yan; Jiawei Han 001; Haiyan Hu; Min Xu; Jianjun Hu; et al. (Bioinform., 2006)

Discovering general partial orders in event streams - Avinash Achar; Srivatsan Laxman; V. Raajay; P. S. Sastry 001 (CoRR, 2009)

A unified view of Automata-based algorithms for Frequent Episode Discovery - Avinash Achar; Srivatsan Laxman; P. S. Sastry 001 (CoRR, 2010)

Discovering injective episodes with general partial orders. - Avinash Achar; Srivatsan Laxman; Raajay Viswanathan; P. S. Sastry 001 (Data Min. Knowl. Discov., 2012)

A unified view of the apriori-based algorithms for frequent episode discovery. - Avinash Achar; Srivatsan Laxman; P. S. Sastry 001 (Knowl. Inf. Syst., 2012)

Pattern-growth based frequent serial episode discovery. - Avinash Achar; A. Ibrahim; P. S. Sastry 001 (Data Knowl. Eng., 2013)

Statistical significance of episodes with general partial orders. - Avinash Achar; P. S. Sastry 001 (Inf. Sci., 2015)

Predicting Vehicular Travel Times by Modeling Heterogeneous Influences Between Arterial Roads. - Avinash Achar; Venkatesh Sarangan; Rohith Regikumar; Anand Sivasubramaniam (AAAI, 2018)

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 (e-Energy, 2019)

Dynamic Bus Arrival Time Prediction exploiting Non-linear Correlations. - Avinash Achar; Rohith Regikumar; B. Anil Kumar (IJCNN, 2019)

A Seasonal Modelling Approach Capturing Spatio-Temporal Correlations for Dynamic Bus Travel Time Prediction. - B. Anil Kumar; Avinash Achar; Dhivya Bharathi; Lelitha Vanajakshi (ITSC, 2019)

Discovering frequent chain episodes. - Avinash Achar; P. S. Sastry 001 (Knowl. Inf. Syst., 2019)

Dynamic Bus Arrival Time Prediction: A temporal difference learning approach. - L. K. P. Vignesh; Avinash Achar; Gokul Karthik (IJCNN, 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)

Sequence Prediction under Missing Data: An RNN Approach without Imputation. - Soumen Pachal; Avinash Achar (CIKM, 2022)

Seasonal Encoder-Decoder Architecture for Forecasting. - Avinash Achar; Soumen Pachal (CoRR, 2022)

Public Transit Arrival Prediction: a Seq2Seq RNN Approach. - Nancy Bhutani; Soumen Pachal; Avinash Achar (CoRR, 2022)

GRU-M: A Joint Impute and Learn Approach for Sequential Prediction under Missing Data. - Soumen Pachal; Avinash Achar; Nancy Bhutani; Akash Das (ACML, 2024)

Seq2Seq RNNs for Bus Arrival Time Prediction. - Nancy Bhutani; Soumen Pachal; Avinash Achar (PKAW, 2024)