Aditya Sharma

This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.

Bibliography

2024
Standing on FURM ground - A framework for evaluating Fair, Useful, and Reliable AI Models in healthcare systems.
CoRR, 2024

ATPPNet: Attention based Temporal Point cloud Prediction Network.
CoRR, 2024

OCTO+: A Suite for Automatic Open-Vocabulary Object Placement in Mixed Reality.
CoRR, 2024

2023
Improving mathematics assessment readability: Do large language models help?
J. Comput. Assist. Learn., June, 2023

Avalanche Prediction and Dynamics using Temperature Variance , Grain Size Variance and Flow Regimes.
CoRR, 2023

SAppKG: Mobile App Recommendation Using Knowledge Graph and Side Information-A Secure Framework.
IEEE Access, 2023

An Energy-Efficient Multi-bit Current-based Analog Compute-In-Memory Architecture and design Methodology.
Proceedings of the 36th International Conference on VLSI Design and 2023 22nd International Conference on Embedded Systems, 2023

OCTOPUS: Open-vocabulary Content Tracking and Object Placement Using Semantic Understanding in Mixed Reality.
Proceedings of the IEEE International Symposium on Mixed and Augmented Reality Adjunct, 2023

Hilbert Space Embedding-Based Trajectory Optimization for Multi-Modal Uncertain Obstacle Trajectory Prediction.
IROS, 2023

WikiWhy: Answering and Explaining Cause-and-Effect Questions.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Tool Usage and Efficiency in an Online Test.
Proceedings of the 16th International Conference on Educational Data Mining, 2023

TwiRGCN: Temporally Weighted Graph Convolution for Question Answering over Temporal Knowledge Graphs.
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

NeuroSMPC: A Neural Network Guided Sampling Based MPC for On-Road Autonomous Driving.
Proceedings of the 19th IEEE International Conference on Automation Science and Engineering, 2023

The Internet of Things (IoT) Contribution to Natural Disaster Management: Review.
Proceedings of the 20th ACS/IEEE International Conference on Computer Systems and Applications, 2023

2022
An intelligent model based on integrated inverse document frequency and multinomial Naive Bayes for current affairs news categorisation.
Int. J. Syst. Assur. Eng. Manag., 2022

Multi-Modal Model Predictive Control Through Batch Non-Holonomic Trajectory Optimization: Application to Highway Driving.
IEEE Robotics Autom. Lett., 2022

Fast Joint Multi-Robot Trajectory Optimization by GPU Accelerated Batch Solution of Distributed Sub-Problems.
Frontiers Robotics AI, 2022

Knowledge-based Analogical Reasoning in Neuro-symbolic Latent Spaces.
Proceedings of the 16th International Workshop on Neural-Symbolic Learning and Reasoning as part of the 2nd International Joint Conference on Learning & Reasoning (IJCLR 2022), 2022

Equitable Access to Intelligent Tutoring Systems Through Paper-Digital Integration.
Proceedings of the Intelligent Tutoring Systems - 18th International Conference, 2022

A 65nm Compute-In-Memory 7T SRAM Macro Supporting 4-bit Multiply and Accumulate Operation by Employing Charge Sharing.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2022

2021
Multilevel profiling of situation and dialogue-based deep networks for movie genre classification using movie trailers.
CoRR, 2021

"Who can help me?": Knowledge Infused Matching of Support Seekers and Support Providers during COVID-19 on Reddit.
Proceedings of the 9th IEEE International Conference on Healthcare Informatics, 2021

UndarkGAN: Low-light Image Enhancement with Cycle-consistent Adversarial Networks.
Proceedings of the 5th International Conference on Computer, 2021

Rhetorical Role Labelling for Legal Judgements and Legal Document Summarization.
Proceedings of the Working Notes of FIRE 2021, 2021

seqClustR: An R Package for Sequence Clustering (Short Paper).
Proceedings of the Joint Proceedings of the Workshops at the International Conference on Educational Data Mining 2021 co-located with 14th International Conference on Educational Data Mining (EDM 2021), 2021

2020
What does MIS survey research reveal about diversity and representativeness in the MIS field? A content analysis approach.
Scientometrics, 2020

Explainable Knowledge Tracing Models for Big Data: Is Ensembling an Answer?
CoRR, 2020

Tweets Sentiment Analysis via Word Embeddings and Machine Learning Techniques.
CoRR, 2020

Improving Neural Machine Translation for Sanskrit-English.
Proceedings of the 17th International Conference on Natural Language Processing, 2020

Pin&Post - App-Based Reporting of Electrical Fire Hazards to Prevent Wildfires.
Proceedings of the IEEE Global Humanitarian Technology Conference, 2020

2019
PopSGD: Decentralized Stochastic Gradient Descent in the Population Model.
CoRR, 2019

A Construction of Security Enhanced and Efficient Handover AKA Protocol in 5G Communication Network.
Proceedings of the 10th International Conference on Computing, 2019

Exposing the Security Weaknesses of Fifth Generation Handover Communication.
Proceedings of the 10th International Conference on Computing, 2019

2018
Learning to Decode 7T-Like MR Image Reconstruction from 3T MR Images.
Proceedings of the Deep Learning in Medical Image Analysis - and - Multimodal Learning for Clinical Decision Support, 2018

Curriculum Pacing: A New Approach to Discover Instructional Practices in Classrooms.
Proceedings of the Intelligent Tutoring Systems - 14th International Conference, 2018

Distributed Deep Reinforcement Learning on the Cloud for Autonomous Driving.
Proceedings of the 1st IEEE/ACM International Workshop on Software Engineering for AI in Autonomous Systems, 2018

MR-Srnet: Transformation of Low Field MR Images to High Field MR Images.
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

Towards Understanding the Geometry of Knowledge Graph Embeddings.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2017
The Incredible Shrinking Neural Network: New Perspectives on Learning Representations Through The Lens of Pruning.
CoRR, 2017

Speeding up Reinforcement Learning-based Information Extraction Training using Asynchronous Methods.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

2016
Optimal operation method with fuel cells in plural regional power systems.
Proceedings of the IEEE International Conference on Industrial Technology, 2016

2009
When Is RFID Perceived as a Radical Technology?
Proceedings of the Exploring the Grand Challenges for Next Generation E-Business, 2009

2008
Hybrid wavelet based LPC features for Hindi speech recognition.
Int. J. Inf. Commun. Technol., 2008

Strategic and Institutional Perspectives in the Evaluation, Adoption and Early Integration of Radio Frequency Identification (RFID): An Empirical Investigation of Current and Potential Adopters.
Proceedings of the 41st Hawaii International International Conference on Systems Science (HICSS-41 2008), 2008

<i>PointAssist</i>: helping four year olds point with ease.
Proceedings of the 7th International Conference on Interaction Design and Children, 2008

2007
Strategic and Institutional Perspectives in the Adoption and Early Integration of Radio Frequency Identification (RFID).
Proceedings of the 40th Hawaii International International Conference on Systems Science (HICSS-40 2007), 2007

2006
What makes an Innovation Radical? Finding the "radicalness" in radical innovation adoption.
Proceedings of the Connecting the Americas. 12th Americas Conference on Information Systems, 2006

2005
Radio Frquency Identification (RFID) Adoption Drivers: A Radical Innovation Adoption Perspective.
Proceedings of the A Conference on a Human Scale. 11th Americas Conference on Information Systems, 2005

2004
Incorporating Personality into UTAUT: Individual Differences and User Acceptance of IT.
Proceedings of the 10th Americas Conference on Information Systems, 2004


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