Publications
The KCIS fraternity is known for its high-quality paper publications across various journals and other platforms. In the year 2022, as many as 333 papers with 11289 citations, similarly in 2021, 298 papers with 9278 citations, in 2020, 282 papers and 6833 citations, in 2019, 259 papers and 5328 citations and in 2018, 245 papers with 4856 citations were published under the aegis of KCIS
LLM Driven Web Profile Extraction for Identical Names
Interference Predicts Locality: Evidence from an SOV Language
AVeCQ: Anonymous Verifiable Crowdsourcing with Worker Qualities
A Multi-task Video-based Approach for Newborn Anthropometry
MICap: A Unified Model for Identity-aware Movie Descriptions
"Previously on..." From Recaps to Story Summarization
Put Your Money Where Your Mouth Is: Dataset and Analysis of Real World Habit Building Attempts
A Twin Agent Reinforcement Learning Framework by Integrating Deterministic and Stochastic Policies
Leveraging Latent Temporal Features for Robust Fault Detection and Isolation in Hexacopter UAVs
MPC-Based Obstacle Aware Multi-UAV Formation Control Under Imperfect Communication
Game-on: Graph attention network based multimodal fusion for fake news detection
Understanding the Generalization of Pretrained Diffusion Models on Out-of-Distribution Data
PIPE-CovNet+: A Hyper-Dense CNN for Improved Pipe Abnormality Detection
Image Attribution by Generating Images
GSN: Generalisable Segmentation in Neural Radiance Field
Automatic detection of Parkinson’s disease Using Zero-Time Window based cepstral feature
Stockwell-Transform based feature representation for detection and assessment of voice disorders
Autonomous Inspection of High-rise Buildings for Façade Detection and 3D Modeling using UAVs
Metric Learning for 3D Point Clouds Using Optimal Transport
Synergizing Contrastive Learning and Optimal Transport for 3D Point Cloud Domain Adaptation
Assessing the Impact of Air Pollution on Physiology: Implications and Prospects
No Transaction Fees? No Problem! Achieving Fairness in Transaction Fee Mechanism Design
Simultaneously Achieving Group Exposure Fairness and Within-Group Meritocracy in Stochastic Bandits