Tirtharaj Dash

65 papers A* 2A 1B 4C 1Journal 42Unranked 15

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Symbolic Neural Generation with Applications to Lead Discovery in Drug Design. CoRR Ashwin Srinivasan, A. Baskar, Tirtharaj Dash, Michael Bain, Sanjay Kumar Dey, Mainak Banerjee
2024	J	`jnl`	Composition of relational features with an application to explaining black-box predictors. Mach. Learn. Ashwin Srinivasan, A. Baskar, Tirtharaj Dash, Devanshu Shah
2024	A*	`conf`	Generating Novel Leads for Drug Discovery Using LLMs with Logical Feedback. AAAI Shreyas Bhat Brahmavar, Ashwin Srinivasan, Tirtharaj Dash, Sowmya Ramaswamy Krishnan, Lovekesh Vig, Arijit Roy, Raviprasad Aduri
2023	J	`jnl`	AI-assisted Emergency Healthcare using Vehicular Network and Support Vector Machine. Wirel. Pers. Commun. Biswa Ranjan Senapati, Pabitra Mohan Khilar, Tirtharaj Dash, Rakesh Ranjan Swain
2023	A	`conf`	Calibrating Deep Neural Networks using Explicit Regularisation and Dynamic Data Pruning. WACV Rishabh Patra, Ramya Hebbalaguppe, Tirtharaj Dash, Gautam Shroff, Lovekesh Vig
2023	—	`conf`	Domain-Specific Pre-training Improves Confidence in Whole Slide Image Classification. EMBC Soham Rohit Chitnis, Sidong Liu, Tirtharaj Dash, Tanmay Tulsidas Verlekar, Antonio Di Ieva, Shlomo Berkovsky, Lovekesh Vig, Ashwin Srinivasan
2023	J	`jnl`	Domain-Specific Pretraining Improves Confidence in Whole Slide Image Classification. CoRR Soham Rohit Chitnis, Sidong Liu, Tirtharaj Dash, Tanmay Tulsidas Verlekar, Antonio Di Ieva, Shlomo Berkovsky, Lovekesh Vig, Ashwin Srinivasan
2023	J	`jnl`	IKD+: Reliable Low Complexity Deep Models For Retinopathy Classification. CoRR Shreyas Bhat Brahmavar, Rohit Rajesh, Tirtharaj Dash, Lovekesh Vig, Tanmay Tulsidas Verlekar, Md Mahmudul Hasan, Tariq Mahmood Khan, Erik Meijering, Ashwin Srinivasan
2023	B	`conf`	IKD+: Reliable Low Complexity Deep Models for Retinopathy Classification. ICIP Shreyas Bhat Brahmavar, Rohit Rajesh, Tirtharaj Dash, Lovekesh Vig, Tanmay Tulsidas Verlekar, Md Mahmudul Hasan, Tariq Mahmood Khan, Erik Meijering, Ashwin Srinivasan
2022	J	`jnl`	Automated Fault Diagnosis in Wireless Sensor Networks: A Comprehensive Survey. Wirel. Pers. Commun. Rakesh Ranjan Swain, Tirtharaj Dash, Pabitra Mohan Khilar
2022	J	`jnl`	Calibrating Deep Neural Networks using Explicit Regularisation and Dynamic Data Pruning. CoRR Ramya Hebbalaguppe, Rishabh Patra, Tirtharaj Dash, Gautam Shroff, Lovekesh Vig
2022	J	`jnl`	Composition of Relational Features with an Application to Explaining Black-Box Predictors. CoRR Ashwin Srinivasan, A. Baskar, Tirtharaj Dash, Devanshu Shah
2022	J	`jnl`	Inclusion of domain-knowledge into GNNs using mode-directed inverse entailment. Mach. Learn. Tirtharaj Dash, Ashwin Srinivasan, A. Baskar
2022	C	`conf`	Knowledge-based Analogical Reasoning in Neuro-symbolic Latent Spaces. NeSy Vishwa Shah, Aditya Sharma, Gautam Shroff, Lovekesh Vig, Tirtharaj Dash, Ashwin Srinivasan
2022	J	`jnl`	Knowledge-based Analogical Reasoning in Neuro-symbolic Latent Spaces. CoRR Vishwa Shah, Aditya Sharma, Gautam Shroff, Lovekesh Vig, Tirtharaj Dash, Ashwin Srinivasan
2022	J	`jnl`	Machine Learning in Sports: A Case Study on Using Explainable Models for Predicting Outcomes of Volleyball Matches. CoRR Abhinav Lalwani, Aman Saraiya, Apoorv Singh, Aditya Jain, Tirtharaj Dash
2022	A*	`conf`	Solving Visual Analogies Using Neural Algorithmic Reasoning (Student Abstract). AAAI Atharv Sonwane, Gautam Shroff, Lovekesh Vig, Ashwin Srinivasan, Tirtharaj Dash
2022	—	`conf`	Superpixel-based knowledge infusion in deep neural networks for image classification. ACM Southeast Regional Conference Gunjan Chhablani, Abheesht Sharma, Harshit Pandey, Tirtharaj Dash
2021	—	`conf`	Empirical Study of Data-Free Iterative Knowledge Distillation. ICANN (3) Het Shah, Ashwin Vaswani, Tirtharaj Dash, Ramya Hebbalaguppe, Ashwin Srinivasan
2021	J	`jnl`	How to Tell Deep Neural Networks What We Know. CoRR Tirtharaj Dash, Sharad Chitlangia, Aditya Ahuja, Ashwin Srinivasan
2021	J	`jnl`	Inclusion of Domain-Knowledge into GNNs using Mode-Directed Inverse Entailment. CoRR Tirtharaj Dash, Ashwin Srinivasan, A. Baskar
2021	J	`jnl`	Incorporating Domain Knowledge into Deep Neural Networks. CoRR Tirtharaj Dash, Sharad Chitlangia, Aditya Ahuja, Ashwin Srinivasan
2021	J	`jnl`	Incorporating symbolic domain knowledge into graph neural networks. Mach. Learn. Tirtharaj Dash, Ashwin Srinivasan, Lovekesh Vig
2021	—	`conf`	LRG at SemEval-2021 Task 4: Improving Reading Comprehension with Abstract Words using Augmentation, Linguistic Features and Voting. SemEval@ACL/IJCNLP Abheesht Sharma, Harshit Pandey, Gunjan Chhablani, Yash Bhartia, Tirtharaj Dash
2021	J	`jnl`	LRG at SemEval-2021 Task 4: Improving Reading Comprehension with Abstract Words using Augmentation, Linguistic Features and Voting. CoRR Abheesht Sharma, Harshit Pandey, Gunjan Chhablani, Yash Bhartia, Tirtharaj Dash
2021	J	`jnl`	Performance evaluation of deep neural networks for forecasting time-series with multiple structural breaks and high volatility. CAAI Trans. Intell. Technol. Rohit Kaushik, Shikhar Jain, Siddhant Jain, Tirtharaj Dash
2021	J	`jnl`	Solving Visual Analogies Using Neural Algorithmic Reasoning. CoRR Atharv Sonwane, Gautam Shroff, Lovekesh Vig, Ashwin Srinivasan, Tirtharaj Dash
2021	J	`jnl`	Superpixel-based Domain-Knowledge Infusion in Computer Vision. CoRR Gunjan Chhablani, Abheesht Sharma, Harshit Pandey, Tirtharaj Dash
2021	B	`conf`	Using Domain-Knowledge to Assist Lead Discovery in Early-Stage Drug Design. ILP Tirtharaj Dash, Ashwin Srinivasan, Lovekesh Vig, Arijit Roy
2021	J	`jnl`	Using Program Synthesis and Inductive Logic Programming to solve Bongard Problems. CoRR Atharv Sonwane, Sharad Chitlangia, Tirtharaj Dash, Lovekesh Vig, Gautam Shroff, Ashwin Srinivasan
2020	—	`conf`	A Case Study of Transfer of Lesion-Knowledge. iMIMIC/MIL3ID/LABELS@MICCAI Soundarya Krishnan, Rishab Khincha, Lovekesh Vig, Tirtharaj Dash, Ashwin Srinivasan
2020	J	`jnl`	Adversarial neural networks for playing hide-and-search board game Scotland Yard. Neural Comput. Appl. Tirtharaj Dash, Sahith N. Dambekodi, Preetham N. Reddy, Ajith Abraham
2020	B	`conf`	An Empirical Study of Iterative Knowledge Distillation for Neural Network Compression. ESANN Sharan Yalburgi, Tirtharaj Dash, Ramya Hebbalaguppe, Srinidhi Hegde, Ashwin Srinivasan
2020	J	`jnl`	Constructing and Evaluating an Explainable Model for COVID-19 Diagnosis from Chest X-rays. CoRR Rishab Khincha, Soundarya Krishnan, Krishnan Guru-Murthy, Tirtharaj Dash, Lovekesh Vig, Ashwin Srinivasan
2020	—	`conf`	CovidDiagnosis: Deep Diagnosis of COVID-19 Patients Using Chest X-Rays. TIA@MICCAI Kushagra Mahajan, Monika Sharma, Lovekesh Vig, Rishab Khincha, Soundarya Krishnan, Adithya Niranjan, Tirtharaj Dash, Ashwin Srinivasan, Gautam Shroff
2020	J	`jnl`	Incorporating Symbolic Domain Knowledge into Graph Neural Networks. CoRR Tirtharaj Dash, Ashwin Srinivasan, Lovekesh Vig
2020	J	`jnl`	Lightweight approach to automated fault diagnosis in WSNs. IET Networks Rakesh Ranjan Swain, Tirtharaj Dash, Pabitra Mohan Khilar
2020	J	`jnl`	Multifault diagnosis in WSN using a hybrid metaheuristic trained neural network. Digit. Commun. Networks Rakesh Ranjan Swain, Pabitra Mohan Khilar, Tirtharaj Dash
2019	J	`jnl`	A complete diagnosis of faulty sensor modules in a wireless sensor network. Ad Hoc Networks Rakesh Ranjan Swain, Tirtharaj Dash, Pabitra Mohan Khilar
2019	J	`jnl`	A comprehensive study on evolutionary algorithm-based multilayer perceptron for real-world data classification under uncertainty. Expert Syst. J. Knowl. Eng. Tirtharaj Dash, Himansu Sekhar Behera
2019	—	`conf`	Discrete Stochastic Search and Its Application to Feature-Selection for Deep Relational Machines. ICANN (2) Tirtharaj Dash, Ashwin Srinivasan, Ramprasad S. Joshi, A. Baskar
2019	J	`jnl`	Neural network based automated detection of link failures in wireless sensor networks and extension to a study on the detection of disjoint nodes. J. Ambient Intell. Humaniz. Comput. Rakesh Ranjan Swain, Pabitra Mohan Khilar, Tirtharaj Dash
2019	J	`jnl`	Performance evaluation of deep neural networks for forecasting time-series with multiple structural breaks and high volatility. CoRR Shikhar Jain, Rohit Kaushik, Siddhant Jain, Tirtharaj Dash
2018	J	`jnl`	A study on the use of Boundary Equilibrium GAN for Approximate Frontalization of Unconstrained Faces to aid in Surveillance. CoRR Wazeer Zulfikar, Sebastin Santy, Sahith N. Dambekodi, Tirtharaj Dash
2018	J	`jnl`	Fault diagnosis and its prediction in wireless sensor networks using regressional learning to achieve fault tolerance. Int. J. Commun. Syst. Rakesh Ranjan Swain, Pabitra Mohan Khilar, Tirtharaj Dash
2018	B	`conf`	Large-Scale Assessment of Deep Relational Machines. ILP Tirtharaj Dash, Ashwin Srinivasan, Lovekesh Vig, Oghenejokpeme I. Orhobor, Ross D. King
2017	J	`jnl`	A study on intrusion detection using neural networks trained with evolutionary algorithms. Soft Comput. Tirtharaj Dash
2017	J	`jnl`	An effective graph-theoretic approach towards simultaneous detection of fault(s) and cut(s) in wireless sensor networks. Int. J. Commun. Syst. Rakesh Ranjan Swain, Tirtharaj Dash, Pabitra Mohan Khilar
2017	—	`conf`	GASOM: Genetic Algorithm Assisted Architecture Learning in Self Organizing Maps. ICONIP (1) Ashutosh Saboo, Anant Sharma, Tirtharaj Dash
2017	—	`conf`	Genetic Algorithm-Based Oversampling Technique to Learn from Imbalanced Data. SocProS (1) Puneeth Srinivas Mohan Saladi, Tirtharaj Dash
2017	—	`conf`	Image Captioning-Based Image Search Engine: An Alternative to Retrieval by Metadata. SocProS (2) Sethurathienam Iyer, Shubham Chaturvedi, Tirtharaj Dash
2017	—	`conf`	Towards Continuous Monitoring of Environment under Uncertainty: A Fuzzy Granular Decision Tree Approach. DIAS/EDUDM@ISEC Preetham N. Reddy, Sahith N. Dambekodi, Tirtharaj Dash
2016	J	`jnl`	A Fuzzy MLP Approach for Non-linear Pattern Classification. CoRR Tirtharaj Dash, Himansu Sekhar Behera
2016	—	`conf`	Evolutionary Neural Networks versus Adaptive Resonance Theory Net for Breast Cancer Diagnosis. ICIA Tanistha Nayak, Tirtharaj Dash, D. Chandrasekhar Rao, Prabhat K. Sahu
2016	J	`jnl`	Reliable Evaluation of Neural Network for Multiclass Classification of Real-world Data. CoRR Siddharth Dinesh, Tirtharaj Dash
2015	—	`conf`	Controlling Wall Following Robot Navigation Based on Gravitational Search and Feed Forward Neural Network. PerMIn Tirtharaj Dash, Tanistha Nayak, Rakesh Ranjan Swain
2015	J	`jnl`	Gradient gravitational search: An efficient metaheuristic algorithm for global optimization. J. Comput. Chem. Tirtharaj Dash, Prabhat K. Sahu
2014	—	`conf`	An Experimental Study of a Novel Move-to-Front-or-Middle (MFM) List Update Algorithm. ICAA Rakesh Mohanty, Tirtharaj Dash, Biswadeep Khan, Shiba Prasad Dash
2014	—	`conf`	GA Based Polynomial Neural Network for Data Classification. ICIT Janmenjoy Nayak, N. Sahoo, J. R. Swain, Tirtharaj Dash, Himansu Sekhar Behera
2013	J	`jnl`	A Novel Approach for Intelligent Robot Path Planning. CoRR Tirtharaj Dash, Goutam Mishra, Tanistha Nayak
2013	J	`jnl`	English Character Recognition using Artificial Neural Network. CoRR Tirtharaj Dash, Tanistha Nayak
2013	J	`jnl`	Non-Correlated Character Recognition using Artificial Neural Network. CoRR Tirtharaj Dash, Tanistha Nayak
2013	J	`jnl`	Parallel Algorithm for Longest Common Subsequence in a String. CoRR Tirtharaj Dash, Tanistha Nayak
2013	J	`jnl`	Solution to Quadratic Equation Using Genetic Algorithm. CoRR Tanistha Nayak, Tirtharaj Dash
2013	J	`jnl`	Time Efficient Approach To Offline Hand Written Character Recognition Using Associative Memory Net. CoRR Tirtharaj Dash