On Source-To Source Transformation of Sequentlal Logic Programs to And-Parallelism. - Arvind K. Bansal; Leon Sterling (ICPP, 1987)

An Abstract Interpretation Scheme for Logic Programming Based on Type Expressions. - Arvind K. Bansal; Leon Sterling (FGCS, 1988)

Compiling Enumerate-and-Filter Programs for Efficient Execution Under Committed-choice and-Parallelism. - Arvind K. Bansal; Leon Sterling (ICPP (2), 1988)

Transforming generate-and-test programs to execute under committed-choice AND-parallelism. - Arvind K. Bansal; Leon Sterling (Int. J. Parallel Program., 1989)

Exploiting data parallelism for efficient execution of logic programs with large knowledge bases. - Arvind K. Bansal; Jerry L. Potter (TAI, 1990)

An abstract interpretation scheme for identifying inherent parallelism in logic programs. - Arvind K. Bansal; Leon Sterling (New Gener. Comput., 1990)

Static Analysis to Identify Vectorizable Numerical Domain in Logic Programs for Efficient Execution of Scientific Expert Systems. - Arvind K. Bansal; Dilip S. Poduval (SCAI, 1991)

Data-Parallel Compilation and Query Power Extension of Large Knowledge Bases. - Arvind K. Bansal; Jerry L. Potter; Lokam V. Prasad (ICTAI, 1992)

Towards a Formal Computation Model of Associative Logic Programming. - Arvind K. Bansal (ICLP Workshop: Parallel and Data Parallel Execution of Logic Programs, 1994)

A Formal Associative Model of Logic Programming and its Abstract Instruction Set. - Arvind K. Bansal; P. V. Lokam; M. N. Ghandikota (ICTAI, 1994)

ASC: An Associative-Computing Paradigm. - Jerry L. Potter; Johnnie W. Baker; Stephen L. Scott; Arvind K. Bansal; Chokchai Leangsuksun; Chandra R. Asthagiri (Computer, 1994)

An Associative Data Parallel Compilation Model for Tight Integration of High Performance Knowledge Retrieval and Computing. - Arvind K. Bansal (Int. J. Artif. Intell. Tools, 1994)

A Framework for Heterogeneous Associative Logic Programming. - Arvind K. Bansal (Int. J. Artif. Intell. Tools, 1995)

Distributed Storage of Replicated Beliefs to Facilitate Recovery of Distributed Intelligent Agents. - Arvind K. Bansal; Kotagiri Ramamohanarao; Anand S. Rao (ATAL, 1997)

A Scalable Distributed Heterogeneous Associative Logic Programming System. - Shaun W. Ryan; Arvind K. Bansal (ICTAI, 1997)

Applying Logic Programming to Derive Novel Functional Information of Genomes. - Arvind K. Bansal; Peer Bork (PADL, 1999)

An automated comparative analysis of 17 complete microbial genomes. - Arvind K. Bansal (Bioinform., 1999)

A framework for the Automated Reconstruction of Microbial Pathways. - Arvind K. Bansal (BIBE, 2000)

A distributed multimedia knowledge based environment for modeling over the Internet. - Stephen W. Ryan; Arvind K. Bansal; T. Kapoor (ICTAI, 2000)

A Scalable Distributed Multimedia Knowledge Retrieval System on a Cluster of Heterogeneous High Performance Architectures. - Stephen W. Ryan; Arvind K. Bansal (Int. J. Artif. Intell. Tools, 2000)

Integrating Co-Regulated Gene Groups and Pair-Wise Genome Comparisons to Automate Reconstruction of Microbial Pathways. - Arvind K. Bansal (BIBE, 2001)

A Server Coordinated Predictive Buffer Management Scheme to Reduce Bandwidth Requirement for Synthetic Multimedia Movies over the Internet. - Arvind K. Bansal; Rahul Pathak (International Conference on Internet Computing, 2003)

Applying Automatically Derived Gene-Groups to Automatically Predict and Refine Metabolic Pathways. - Arvind K. Bansal; Christopher Woolverton (IEEE Trans. Knowl. Data Eng., 2003)

Towards large scale voice activated dynamic and interactive internet based animation and modeling. - Angela Guercio; Bonita Simoes; Arvind K. Bansal (IASTED Conf. on Software Engineering and Applications, 2004)

A Model for Integrating Deterministic and Asynchronous Events in Reactive Multimedia Internet Based Languages. - Angela Guercio; Arvind K. Bansal (International Conference on Internet Computing, 2004)

Interactive Voice Modifiable 3D Dynamic Object Based Movies over the Internet. - Bonita Simoes; Arvind K. Bansal (International Conference on Internet Computing, 2004)

Exploiting Systemic Biological Modeling for Trigger Based Adaptation in Networked Intelligent Multi-Agent Systems. - Arvind K. Bansal (ICTAI, 2004)

Synchronization in Multimedia Languages for Distributed Systems. - Angela Guercio; Arvind K. Bansal; Timothy Arndt (DMS, 2005)

In silico model for P-glycoprotein substrate prediction: insights from molecular dynamics and in vitro studies. - Rameshwar Prajapati; Udghosh Singh; Abhijeet Patil; Kailas S. Khomane; Pravin Bagul; Arvind K. Bansal; Abhay T. Sangamwar (J. Comput. Aided Mol. Des., 2013)

An Integrated Approach for Efficient Analysis of Facial Expressions. - Mehdi Ghayoumi; Arvind K. Bansal (SIGMAP, 2014)

Emotion in Robots Using Convolutional Neural Networks. - Mehdi Ghayoumi; Arvind K. Bansal (ICSR, 2016)

Unifying Geometric Features and Facial Action Units for Improved Performance of Facial Expression Analysis. - Mehdi Ghayoumi; Arvind K. Bansal (CoRR, 2016)

Towards Formal Multimodal Analysis of Emotions for Affective Computing. - Mehdi Ghayoumi; Arvind K. Bansal; Maha Thafar (J. Vis. Lang. Sentient Syst., 2016)

Integrating Markov model and morphology analysis for finer classification of ventricular arrhythmia in real time. - Purva R. Gawde; Arvind K. Bansal; Jeffrey A. Nielson (BHI, 2017)

Improved Human Emotion Recognition Using Symmetry of Facial Key Points with Dihedral Group. - Mehdi Ghayoumi; Arvind K. Bansal (CoRR, 2017)

Bivariate Markov Model Based Analysis of ECG for Accurate Identification and Classification of Premature Heartbeats and Irregular Beat-Patterns. - Purva R. Gawde; Arvind K. Bansal; Jeffrey A. Nielson; Javed I. Khan (IntelliSys (2), 2018)

Towards Synchronous Model of Non-emotional Conversational Gesture Generation in Humanoids. - Aditi Singh; Arvind K. Bansal (SAI (1), 2021)

Automated Real-Time Recognition of Non-emotional Conversational Head-Gestures for Social Robots. - Aditi Singh; Arvind K. Bansal (FTC (3), 2022)

An Enhanced Deep Learning Model for the Finer Subclassification of T1a Small Renal Masses. - Fnu Neha; Arvind K. Bansal (MICAD, 2024)

Convnext-PCA: A Parameter-Efficient Model for Accurate Kidney Abnormality Classification. - Fnu Neha; Arvind K. Bansal (MLSP, 2024)

Cardiac MRI Semantic Segmentation for Ventricles and Myocardium Using Deep Learning. - Racheal Mukisa; Arvind K. Bansal (SAI (3), 2024)

Multi-Layer Feature Fusion with Cross-Channel Attention-Based U-Net for Kidney Tumor Segmentation. - Fnu Neha; Arvind K. Bansal (CoRR, 2024)

DADU: Dual Attention-based Deep Supervised UNet for Automated Semantic Segmentation of Cardiac Images. - Racheal Mukisa; Arvind K. Bansal (CoRR, 2025)

U-R-VEDA: Integrating UNET, Residual Links, Edge and Dual Attention, and Vision Transformer for Accurate Semantic Segmentation of CMRs. - Racheal Mukisa; Arvind K. Bansal (CoRR, 2025)