Table of Contents

• Efficient Depth-First Search Approach for Mining Injective General EpisodesSanthosh B. Gandreti, Sastry P. S.. 1-9 [doi]
• RetroKD : Leveraging Past States for Regularizing Targets in Teacher-Student LearningSurgan Jandial, Yash Khasbage, Arghya Pal, Balaji Krishnamurthy, Vineeth N. Balasubramanian. 10-18 [doi]
• Neural Networks at a Fraction with Pruned QuaternionsSahel Mohammad Iqbal, Subhankar Mishra. 19-27 [doi]
• Gradient Perturbation-based Efficient Deep EnsemblesAmit Chandak, Purushottam Kar, Piyush Rai. 28-36 [doi]
• LCM: A Surprisingly Effective Framework for Supervised Cross-modal RetrievalDwijesh Gohil, Shivangi Bithel, Srikanta Bedathur. 37-46 [doi]
• Query-Focused Re-Ranking to Enhance the Performance of Text Entailment and Question AnsweringVikanksh Nath, Vipul Chauhan, Lipika Dey. 47-54 [doi]
• Aspect-Sentiment-based Opinion Summarization using Multiple Information SourcesTejpalsingh Siledar, Jigar Makwana, Pushpak Bhattacharyya. 55-61 [doi]
• BRR-QA: Boosting Ranking and Reading in Open-Domain Question AnsweringManish Singh, Manish Shrivastava 0001. 62-69 [doi]
• Active Feature Acquisition via Human Interaction in Relational domainsNandini Ramanan, Phillip Odom, Kristian Kersting, Sriraam Natarajan. 70-78 [doi]
• Generalized Structured Low-Rank Tensor LearningJayadev Naram, Tanmay Kumar Sinha, Pawan Kumar. 79-86 [doi]
• Teaching Old DB Neu(ral) Tricks: Learning Embeddings on Multi-tabular DatabasesGarima Gaur, Rajat Singh, Siddhant Arora, Vinayak Gupta, Srikanta Bedathur. 87-94 [doi]
• Solving age-word problems using domain ontology and BERTAkshay Gupta, Suresh Kumar, P. Sreenivasa Kumar. 95-103 [doi]
• Missing Data Resilient Ensemble Subspace Decision Tree ClassifierSairam Utukuru, Pisipati Radha Krishna, Kamalakar Karlapalem. 104-107 [doi]
• Using Contrastive Samples for Identifying and Leveraging Possible Causal Relationships in Reinforcement LearningHarshad Khadilkar, Hardik Meisheri. 108-112 [doi]
• Accelerating Computer Vision Tasks on GPUs using Ramanujan Graph Product FrameworkFurqan Ahmed Shaik, Thejasvi Konduru, Girish Varma, Kishore Kothapalli. 113-117 [doi]
• Short Text Clustering in Continuous Time Using Stacked Dirichlet-Hawkes Process with Inverse Cluster Frequency PriorAvirup Saha, Balaji Ganesan. 118-122 [doi]
• Surface Name Errors in WikipediaAnuj Khare, Amit Awekar. 123-127 [doi]
• Explainable Data Imputation using ConstraintsSandeep Hans, Diptikalyan Saha, Aniya Aggarwal. 128-132 [doi]
• A workload-driven approach for automatic schema generation for document storesNeha Bansal, Shelly Sachdeva, Lalit Kumar Awasthi. 133 [doi]
• Robust Covariance Matrix Estimation using Random Matrix TheorySamruddhi Deshmukh, Amartansh Dubey, Ross D. Murch. 134 [doi]
• A Resource Adaptive Secure Aggregation Protocol for Federated Learning based Urban Sensing SystemsSparsh Gupta, Ayshika Kapoor, Dheeraj Kumar. 135 [doi]
• Machine versus Human Attention: A comparative study of different transfer learning modelsPuja Banerjee, Siddhartha Raj, Rajesh P. Barnwal. 136 [doi]
• Extracting Schema Variants from JSON Collections using JSVTreeUma Priya D, P. Santhi Thilagam. 137 [doi]
• Monte Carlo Dropout Based BatchEnsemble For Improving Uncertainty EstimationShubham Jain, Srijith P. K. 138 [doi]
• Relation Classification Model Performance as a Function of Dataset Label NoiseAkshay Parekh, Ashish Anand, Amit Awekar. 139 [doi]
• FloorGAN: Generative Network for Automated Floor Layout GenerationAbhinav Upadhyay, Alpana Dubey, Suma Mani Kuriakose, Shaurya Agarawal. 140-148 [doi]
• Global Explanations for Multivariate time series modelsVijay Arya, Diptikalyan Saha, Sandeep Hans, Amaresh Rajasekharan, Tony Tang. 149-157 [doi]
• Customer Informatics by Embedding SMS HeadersSurya Teja Tunuguntla, Arpan Shrivastava, Alok Mathur, Abhay Shukla, Dipyaman Banerjee. 158-166 [doi]
• Towards Automated Assessment of Organizational Cybersecurity Posture in CloudRoy Bar-Haim, Lilach Eden, Yoav Kantor, Vikas Agarwal, Mark Devereux, Nisha Gupta, Arun Kumar 0002, Matan Orbach, Michael Zan. 167-175 [doi]
• Learning to Minimize Cost to Serve for Multi-Node Multi-Product Order Fulfilment in Electronic CommercePranavi Pathakota, Kunwar Zaid, Anulekha Dhara, Hardik Meisheri, Shaun D'Souza, Dheeraj Shah, Harshad Khadilkar. 176-184 [doi]
• Agent-based Learning Approach to Electric Vehicle Routing Problem with Vehicle-to-Grid Supply and Battery SwappingAjay Narayanan, Prasant Misra, Ankush Ojha, Abhinav Gupta, Supratim Ghosh, Arunchandar Vasan 0001. 185-193 [doi]
• Paradigm shift in Nutritional Science: Using Machine Learning to Predict Macronutrient RequirementsBalamurali A R, Pratyush Pathnaik, Junaid Ahmed, Shanthi Lakshmi, Bhawna Sati, Rahul Ranganathan. 194-202 [doi]
• Paddy Doctor: A Visual Image Dataset for Automated Paddy Disease Classification and BenchmarkingPetchiammal, Briskline Kiruba, Murugan, Pandarasamy Arjunan. 203-207 [doi]
• Designing a Vision Transformer based Enhanced Text Extractor for Product ImagesSaptarshi Misra, Pranay Dugar, Anirban Chatterjee, Lalitdutt Parsai, Kunal Banerjee 0001. 208-212 [doi]
• A robust section identification method for scanned electronic health recordsAnand Subramanian, Praveen Kumar Suresh, Sudarsun Santhiappan. 213-217 [doi]
• BUDDI Table Factory: A toolbox for generating synthetic documents with annotated tables and cellsBharath Sripathy, Harinath Krishnamoorthy, Sudarsun Santhiappan. 218-222 [doi]
• DIGITOUR: Automatic Digital Tours for Real-Estate PropertiesPrateek Chhikara, Harshul Kuhar, Anil Goyal, Chirag Sharma. 223-227 [doi]
• Event Uncertainty using Ensemble Neural Hawkes ProcessManisha Dubey, Ragja Palakkadavath, P. K. Srijith. 228-232 [doi]
• A Dynamic Attention Based Graph Neural Network for Anomaly Prediction in Multi-Variate Time-Series & Its Application in Network MonitoringMeet Maheshwari, Binay Gupta, Anirban Chatterjee, Kunal Banerjee 0001. 233-237 [doi]
• Mathematical Expressions in Software Engineering ArtifactsTanuj Sur, Aaditree Jaisswal, Venkatesh Vinayakarao. 238-242 [doi]
• Prediction of High-Resolution Atmospheric CO2 Concentration from OCO-2 using Machine LearningSpurthy Maria Pais, Shrutilipi Bhattacharjee, Anand Kumar Madasamy. 243-247 [doi]
• xEM: Explainable Entity Matching in Customer 360Sukriti Jaitly, Deepa Mariam George, Balaji Ganesan, Muhammed Ameen, Srinivas Pusapati. 248-252 [doi]
• RE-RentFraud: A System to detect Frauds in rent payments for Real-Estate propertiesBadal Gupta, Anil Goyal, Chirag Sharma, Divyansh Kumar. 253-257 [doi]
• FLUEnT: Financial Language Understandability Enhancement ToolkitSohom Ghosh, Sudip Kumar Naskar. 258-262 [doi]
• UDAAN - Machine Learning based Post-Editing tool for Document TranslationAyush Maheshwari, Ajay Ravindran, Venkatapathy Subramanian, Ganesh Ramakrishnan. 263-267 [doi]
• TSAPI: Enhancing Existing OLTP Databases with Temporal Query Capabilities for AnalyticsChandrashekar Ramanathan, Apurva Kulkarni. 268-271 [doi]
• Automatic Epilepsy Detection from EEG signalsVridhi Rohira, Shivam Chaudhary, Sudip Das, Krishna Prasad Miyapuram. 272-273 [doi]
• Upsampling of Personalized HRTF for Spatial Audio Rendering: Why Deep Learning is Problematic?Basant Pandagre, Manish Narwaria. 274-275 [doi]
• Electronic Tongue based Classification of Mineral Water Samples using Markov Transition Field and CNNSeshu Kumar Damarla, Xiuli Zhu, Madhusree Kundu. 276-277 [doi]
• Deep Gaussian Processes for Air Quality InferenceAadesh Desai, Eshan Gujarathi, Saagar Parikh, Sachin Yadav, Zeel Patel, Nipun Batra 0001. 278-279 [doi]
• Machine Learning and Convolution Neural Network based Trace Identification of Pesticides and Dye Mixtures from Raman SpectraVenkat Suprabath Bitra, Shweta Verma, B. Tirumala Rao. 280-281 [doi]
• Understanding catastrophic forgetting for adaptive deep learningShriraj Pramod Sawant. 282-283 [doi]
• Visualization of the Dynamics in Character Networks using Social Network AnalysisIndu Rodda, Durga Bhavani. 284-285 [doi]
• Techniques for Privacy-Preserving Data Aggregation in an Untrusted Distributed EnvironmentSnehkumar Shahani, Jibi Abraham, R. Venkateswaran. 286-287 [doi]
• DeepHalo - Finding Dark Matter Halo Substructure Using Deep LearningJyotirmaya Shivottam, Subhankar Mishra. 288 [doi]
• Using domain ontology to identify consistent and inconsistent cases from LSTM-generated transfer type AWPsSuresh Kumar, Sreenivasa Kumar P. 289-290 [doi]
• Predicting drum beats from high-density Brain RhythmsShivam Chaudhary, Krishna Prasad Miyapuram, Derek Lomas. 291-292 [doi]
• Algorithmic Recourse based on User's Feature-order PreferenceManan Singh, Sai Srinivas Kancheti, Shivam Gupta 0004, Ganesh Ghalme, Shweta Jain 0006, Narayanan C. Krishnan. 293-294 [doi]
• Few-Shot Learning based Anomaly Detection in Security ApplicationsShruti Sureshan, Debasis Das. 295-296 [doi]
• Efficient Hessian-based DNN Optimization via Chain-Rule ApproximationAlessandro Temperoni, Mauro Dalle Lucca Tosi, Martin Theobald. 297-298 [doi]
• Addressing Data Intrinsic Characteristics for Augmentation for Breast Cancer ClassificationArmaan Garg. 299-300 [doi]
• Using Natural Language Processing to Enhance Understandability of Financial TextsSohom Ghosh, Sudip Kumar Naskar. 301-302 [doi]
• Warning: It's a scam!! Towards understanding the Employment Scams using Knowledge GraphsNidhi Goyal, Radhika Mamidi, Niharika Sachdeva, Ponnurangam Kumaraguru. 303-304 [doi]
• Tutorial on Automated Trading using APIJagdish Chakole, Manish P. Kurhekar. 305-307 [doi]
• Promoting Sustainable Water Usage and Management With Water Data, AI and PolicyBihu Suchetana, Biplav Srivastava, Hari Prabhat Gupta, Manabendra Saharia. 308-311 [doi]
• Tutorial on understanding meta-learning for fast adaptationKavya Ranjan Saxena, Vipul Arora. 312-315 [doi]
• AI for Immersive Metaverse ExperienceAlpana Dubey, Nitish Bhardwaj, Abhinav Upadhyay, Roshni Ramnani. 316-319 [doi]
• AI & Law: Formative Developments, State-of-the-Art Approaches, Challenges & OpportunitiesJack Conrad, Shirsha Ray Chaudhuri, Shounak Paul, Saptarshi Ghosh 0001. 320-323 [doi]
• Causal Inference and Causal Machine Learning with Practical Applications: The paper highlights the concepts of Causal Inference and Causal ML along with different implementation techniquesSomedip Karmakar, Soumojit Guha Majumder, Dhiraj Gangaraju. 324-326 [doi]
• DL4HC: Deep Learning for HealthcareRaghavendra Bhat, Sandya Mannarswamy, Shreyas N. C. 327-329 [doi]
• Tutorial on Semantic Automation for Data DiscoveryRajmohan C, Ritwik Chaudhuri, Balaji Ganesan, Anupam Sanghi, Arvind Agarwal, Sameep Mehta. 330-334 [doi]