Time Efficient Approach To Offline Hand Written Character Recognition Using Associative Memory Net. - Tirtharaj Dash (CoRR, 2013)

A Novel Approach for Intelligent Robot Path Planning. - Tirtharaj Dash; Goutam Mishra; Tanistha Nayak (CoRR, 2013)

English Character Recognition using Artificial Neural Network. - Tirtharaj Dash; Tanistha Nayak (CoRR, 2013)

Parallel Algorithm for Longest Common Subsequence in a String. - Tirtharaj Dash; Tanistha Nayak (CoRR, 2013)

Non-Correlated Character Recognition using Artificial Neural Network. - Tirtharaj Dash; Tanistha Nayak (CoRR, 2013)

Solution to Quadratic Equation Using Genetic Algorithm. - Tanistha Nayak; Tirtharaj Dash (CoRR, 2013)

GA Based Polynomial Neural Network for Data Classification. - Janmenjoy Nayak; N. Sahoo; J. R. Swain; Tirtharaj Dash; Himansu Sekhar Behera (ICIT, 2014)

An Experimental Study of a Novel Move-to-Front-or-Middle (MFM) List Update Algorithm. - Rakesh Mohanty; Tirtharaj Dash; Biswadeep Khan; Shiba Prasad Dash (ICAA, 2014)

Controlling Wall Following Robot Navigation Based on Gravitational Search and Feed Forward Neural Network. - Tirtharaj Dash; Tanistha Nayak; Rakesh Ranjan Swain (PerMIn, 2015)

Gradient gravitational search: An efficient metaheuristic algorithm for global optimization. - Tirtharaj Dash; Prabhat K. Sahu (J. Comput. Chem., 2015)

Evolutionary Neural Networks versus Adaptive Resonance Theory Net for Breast Cancer Diagnosis. - Tanistha Nayak; Tirtharaj Dash; D. Chandrasekhar Rao; Prabhat K. Sahu (ICIA, 2016)

A Fuzzy MLP Approach for Non-linear Pattern Classification. - Tirtharaj Dash; Himansu Sekhar Behera (CoRR, 2016)

Reliable Evaluation of Neural Network for Multiclass Classification of Real-world Data. - Siddharth Dinesh; Tirtharaj Dash (CoRR, 2016)

GASOM: Genetic Algorithm Assisted Architecture Learning in Self Organizing Maps. - Ashutosh Saboo; Anant Sharma; Tirtharaj Dash (ICONIP (1), 2017)

Towards Continuous Monitoring of Environment under Uncertainty: A Fuzzy Granular Decision Tree Approach. - Preetham N. Reddy; Sahith N. Dambekodi; Tirtharaj Dash (DIAS/EDUDM@ISEC, 2017)

Image Captioning-Based Image Search Engine: An Alternative to Retrieval by Metadata. - Sethurathienam Iyer; Shubham Chaturvedi; Tirtharaj Dash (SocProS (2), 2017)

Genetic Algorithm-Based Oversampling Technique to Learn from Imbalanced Data. - Puneeth Srinivas Mohan Saladi; Tirtharaj Dash (SocProS (1), 2017)

An effective graph-theoretic approach towards simultaneous detection of fault(s) and cut(s) in wireless sensor networks. - Rakesh Ranjan Swain; Tirtharaj Dash; Pabitra Mohan Khilar (Int. J. Commun. Syst., 2017)

A study on intrusion detection using neural networks trained with evolutionary algorithms. - Tirtharaj Dash (Soft Comput., 2017)

Large-Scale Assessment of Deep Relational Machines. - Tirtharaj Dash; Ashwin Srinivasan 001; Lovekesh Vig; Oghenejokpeme I. Orhobor; Ross D. King (ILP, 2018)

A study on the use of Boundary Equilibrium GAN for Approximate Frontalization of Unconstrained Faces to aid in Surveillance. - Wazeer Zulfikar; Sebastin Santy; Sahith N. Dambekodi; Tirtharaj Dash (CoRR, 2018)

Fault diagnosis and its prediction in wireless sensor networks using regressional learning to achieve fault tolerance. - Rakesh Ranjan Swain; Pabitra Mohan Khilar; Tirtharaj Dash (Int. J. Commun. Syst., 2018)

Discrete Stochastic Search and Its Application to Feature-Selection for Deep Relational Machines. - Tirtharaj Dash; Ashwin Srinivasan 001; Ramprasad S. Joshi; A. Baskar (ICANN (2), 2019)

A complete diagnosis of faulty sensor modules in a wireless sensor network. - Rakesh Ranjan Swain; Tirtharaj Dash; Pabitra Mohan Khilar (Ad Hoc Networks, 2019)

A comprehensive study on evolutionary algorithm-based multilayer perceptron for real-world data classification under uncertainty. - Tirtharaj Dash; Himansu Sekhar Behera (Expert Syst. J. Knowl. Eng., 2019)

Neural network based automated detection of link failures in wireless sensor networks and extension to a study on the detection of disjoint nodes. - Rakesh Ranjan Swain; Pabitra Mohan Khilar; Tirtharaj Dash (J. Ambient Intell. Humaniz. Comput., 2019)

An Empirical Study of Iterative Knowledge Distillation for Neural Network Compression. - Sharan Yalburgi; Tirtharaj Dash; Ramya Hebbalaguppe; Srinidhi Hegde; Ashwin Srinivasan 001 (ESANN, 2020)

A Case Study of Transfer of Lesion-Knowledge. - Soundarya Krishnan; Rishab Khincha; Lovekesh Vig; Tirtharaj Dash; Ashwin Srinivasan 001 (iMIMIC/MIL3ID/LABELS@MICCAI, 2020)

CovidDiagnosis: Deep Diagnosis of COVID-19 Patients Using Chest X-Rays. - Kushagra Mahajan; Monika Sharma; Lovekesh Vig; Rishab Khincha; Soundarya Krishnan; Adithya Niranjan; Tirtharaj Dash; Ashwin Srinivasan 001; Gautam Shroff (TIA@MICCAI, 2020)

Constructing and Evaluating an Explainable Model for COVID-19 Diagnosis from Chest X-rays. - Rishab Khincha; Soundarya Krishnan; Krishnan Guru-Murthy; Tirtharaj Dash; Lovekesh Vig; Ashwin Srinivasan 001 (CoRR, 2020)

Multifault diagnosis in WSN using a hybrid metaheuristic trained neural network. - Rakesh Ranjan Swain; Pabitra Mohan Khilar; Tirtharaj Dash (Digit. Commun. Networks, 2020)

Lightweight approach to automated fault diagnosis in WSNs. - Rakesh Ranjan Swain; Tirtharaj Dash; Pabitra Mohan Khilar (IET Networks, 2020)

Adversarial neural networks for playing hide-and-search board game Scotland Yard. - Tirtharaj Dash; Sahith N. Dambekodi; Preetham N. Reddy; Ajith Abraham (Neural Comput. Appl., 2020)

Empirical Study of Data-Free Iterative Knowledge Distillation. - Het Shah; Ashwin Vaswani; Tirtharaj Dash; Ramya Hebbalaguppe; Ashwin Srinivasan 001 (ICANN (3), 2021)

Using Domain-Knowledge to Assist Lead Discovery in Early-Stage Drug Design. - Tirtharaj Dash; Ashwin Srinivasan 001; Lovekesh Vig; Arijit Roy (ILP, 2021)

LRG at SemEval-2021 Task 4: Improving Reading Comprehension with Abstract Words using Augmentation, Linguistic Features and Voting. - Abheesht Sharma; Harshit Pandey; Gunjan Chhablani; Yash Bhartia; Tirtharaj Dash (SemEval@ACL/IJCNLP, 2021)

Performance evaluation of deep neural networks for forecasting time-series with multiple structural breaks and high volatility. - Rohit Kaushik; Shikhar Jain; Siddhant Jain; Tirtharaj Dash (CAAI Trans. Intell. Technol., 2021)

Incorporating Domain Knowledge into Deep Neural Networks. - Tirtharaj Dash; Sharad Chitlangia; Aditya Ahuja; Ashwin Srinivasan 001 (CoRR, 2021)

Superpixel-based Domain-Knowledge Infusion in Computer Vision. - Gunjan Chhablani; Abheesht Sharma; Harshit Pandey; Tirtharaj Dash (CoRR, 2021)

How to Tell Deep Neural Networks What We Know. - Tirtharaj Dash; Sharad Chitlangia; Aditya Ahuja; Ashwin Srinivasan 001 (CoRR, 2021)

Using Program Synthesis and Inductive Logic Programming to solve Bongard Problems. - Atharv Sonwane; Sharad Chitlangia; Tirtharaj Dash; Lovekesh Vig; Gautam Shroff; Ashwin Srinivasan 001 (CoRR, 2021)

Solving Visual Analogies Using Neural Algorithmic Reasoning. - Atharv Sonwane; Gautam Shroff; Lovekesh Vig; Ashwin Srinivasan 001; Tirtharaj Dash (CoRR, 2021)

Incorporating symbolic domain knowledge into graph neural networks. - Tirtharaj Dash; Ashwin Srinivasan 001; Lovekesh Vig (Mach. Learn., 2021)

Superpixel-based knowledge infusion in deep neural networks for image classification. - Gunjan Chhablani; Abheesht Sharma; Harshit Pandey; Tirtharaj Dash (ACM Southeast Regional Conference, 2022)

Solving Visual Analogies Using Neural Algorithmic Reasoning (Student Abstract). - Atharv Sonwane; Gautam Shroff; Lovekesh Vig; Ashwin Srinivasan 001; Tirtharaj Dash (AAAI, 2022)

Knowledge-based Analogical Reasoning in Neuro-symbolic Latent Spaces. - Vishwa Shah; Aditya Sharma; Gautam Shroff; Lovekesh Vig; Tirtharaj Dash; Ashwin Srinivasan 001 (NeSy, 2022)

Machine Learning in Sports: A Case Study on Using Explainable Models for Predicting Outcomes of Volleyball Matches. - Abhinav Lalwani; Aman Saraiya; Apoorv Singh; Aditya Jain; Tirtharaj Dash (CoRR, 2022)

Inclusion of domain-knowledge into GNNs using mode-directed inverse entailment. - Tirtharaj Dash; Ashwin Srinivasan 001; A. Baskar (Mach. Learn., 2022)

Automated Fault Diagnosis in Wireless Sensor Networks: A Comprehensive Survey. - Rakesh Ranjan Swain; Tirtharaj Dash; Pabitra Mohan Khilar (Wirel. Pers. Commun., 2022)

Domain-Specific Pre-training Improves Confidence in Whole Slide Image Classification. - Soham Rohit Chitnis; Sidong Liu; Tirtharaj Dash; Tanmay Tulsidas Verlekar; Antonio Di Ieva; Shlomo Berkovsky; Lovekesh Vig; Ashwin Srinivasan 001 (EMBC, 2023)

IKD+: Reliable Low Complexity Deep Models for Retinopathy Classification. - Shreyas Bhat Brahmavar; Rohit Rajesh; Tirtharaj Dash; Lovekesh Vig; Tanmay Tulsidas Verlekar; Md Mahmudul Hasan; Tariq Mahmood Khan; Erik Meijering; Ashwin Srinivasan 001 (ICIP, 2023)

Calibrating Deep Neural Networks using Explicit Regularisation and Dynamic Data Pruning. - Rishabh Patra; Ramya Hebbalaguppe; Tirtharaj Dash; Gautam Shroff; Lovekesh Vig (WACV, 2023)

Domain-Specific Pretraining Improves Confidence in Whole Slide Image Classification. - Soham Rohit Chitnis; Sidong Liu; Tirtharaj Dash; Tanmay Tulsidas Verlekar; Antonio Di Ieva; Shlomo Berkovsky; Lovekesh Vig; Ashwin Srinivasan 001 (CoRR, 2023)

AI-assisted Emergency Healthcare using Vehicular Network and Support Vector Machine. - Biswa Ranjan Senapati; Pabitra Mohan Khilar; Tirtharaj Dash; Rakesh Ranjan Swain (Wirel. Pers. Commun., 2023)

Generating Novel Leads for Drug Discovery Using LLMs with Logical Feedback. - Shreyas Bhat Brahmavar; Ashwin Srinivasan 001; Tirtharaj Dash; Sowmya Ramaswamy Krishnan; Lovekesh Vig; Arijit Roy; Raviprasad Aduri (AAAI, 2024)

Composition of relational features with an application to explaining black-box predictors. - Ashwin Srinivasan 001; A. Baskar; Tirtharaj Dash; Devanshu Shah (Mach. Learn., 2024)