List of all Accepted Papers

DSAA'2026 accepted papers for presentation at the conference.

Application, Data and Benchmark Track

Paper ID
37

Regime-Aware Deep Learning for Stable Bond Yield Forecasting

Manjula Pilaka; Abhinav Kumar; Aneesh Sreevallabh Chivukula

Paper ID
66

Identifying Security Platform Product Abuse with Machine Learning

Shaefer Drew; Michael Brautbar; Paul Knight; Edward Raff; Lana Peric-McDermott; Simran Sarin; Nickolas da Rocha Machado; Hanna Albright; Vitaly Zaytsev

Paper ID
68

PRO-ACT database curation for Amyotrophic Lateral Sclerosis studies

Lucas Bouclier; Christel DARTIGUES-PALLEZ; Johan Montagnat

Paper ID
98

Coarsely-Supervised Learning Approach for Energy Burden Prediction at High Spatial Resolution

Aveline Lezil; Maryam Tabar

Paper ID
107

Who Sits Where? Automated Detection of Director Interlocks in Indian Companies

Prateek Sancheti; Kamalakar Karlapalem; Kavita Vemuri

Paper ID
110

A Domain Adaptation Approach for Eviction Rate Prediction under Skewed Label Distribution

Shadman Islam Rafi; Maryam Tabar

Paper ID
111

Double Phase Transitions in Structured Data Mixtures: When a Learned Subgroup Is Still Uncovered

HikaruMatsuoka

Paper ID
122

Automatic Misinformation detection in E-Commerce based Product Question Answering

Anshul Kumar; Atharva Inamdar; Krish Agrawal; Gagan Raj Gupta; Rajesh Sharma; Soumajit Pramanik

Paper ID
126

Robust Subsequence Search in Multivariate Industrial Sensor Data: A Human-in-the-Loop Approach for Metallurgical Processes

Thomas A. Kristan; Belgin Mutlu; Klaus Seyerlehner; Klaus Jax; Petra Krahwinkler; Roman Kern

Paper ID
137

Simpler Methods Work Better for L1 Penalized Logistic Models and Large Datasets

Edward Raff; James Holt

Paper ID
147

IndicIPR-QA: A Benchmark for Extractive Question Answering on Indian IPR Laws

M Mohaiminul Islam; Muhammad Abulaish

Paper ID
161

Sparse Deep Learning and Tensor Analytics for Secure Key Generation and Classification in vOMCI Networks

Venkatesh Natarajan; Manjula Pilaka; Aneesh Sreevallabh Chivukula; Chennupati Rakesh Prasanna; Jeffrey Marius

Paper ID
172

Quantum-Contextual Forecasting for Risk-Aware Portfolio Allocation

Debojyoti Seth

Paper ID
185

Space-Time Matters: Spatio-Temporal Loss Alignment for Diurnal Precipitation Bias Correction

Vishesh Singhal; Shruti Ashok Upadhyaya; Kuldeep Ramchandra Kurte

Paper ID
234

LENS: A Linked Analytics Workflow for Evaluating Course Redesign Using Fixed-Effects Models and Structural Equation Modeling

CHILLARA VENKATA VARUN; Praveen Meduri

Paper ID
237

Political Narratives in the 2024 Moldovan Presidential Election: Stance, Amplification, and Influence

Andrea Piras; Elena Zheleva

Paper ID
244

InGlish: A Multilingual Code-Mixed Dataset for Language Identification and Transliteration in Indian Languages

Saurabh Kumar; Rupnarayan Kumar; Ranbir Singh Sanasam; Sukumar Nandi

Paper ID
245

Amortized Bayesian Inversion of Multi-Contrast Neutron Reflectometry

Roberto D. Herrera; Mithilesh Gollapelli; Upasana Roy; Konstantina Sokratous; Minh D. Phan; Prasad Calyam; Clintin Stober; Tanu Malik

Paper ID
248

PASTA: Pretrained and Specialized Two-Tier Architecture for Payment Event Sequence Modeling

Bhushan Chaudhari; Aakash Agarwal; Tanmoy Bhowmik; Anoop Kumar Gupta; Naveen Setia

Paper ID
253

Abstention vs. Hallucination: Benchmarking LLM Source Attribution for Sentence-level Scientific Citations

Deepa Tilwani; Yash Saxena; Seyedali Mohammadi; Ankur Padia; Edward Raff; Amit Sheth; srinivasan parthasarathy; Manas Gaur

Paper ID
273

A Hybrid Approach to Cooking Time Prediction Using Semantic and Structural Recipe Features

Vibhuti Dhar Khanduri; Deepak Thappa; Divyansh Kaushal; Chetireddy Sreekar reddy; Ganesh Bagler

Paper ID
283

Analyzing the impact of temporal resolution on the contribution of wearables to chronic disease monitoring

Mallika Manam; Miro Schleicher; Myra Spiliopoulou

Doctoral Consortium Track

Paper ID
11

Delhi Power Grid Load Forecasting: EDA, Literature Benchmarking, and Temporal Fusion Transformer Deployment

Gaurav Rao; Kartik Nath Khatri; Navya Rawat; Piyush Sharma; Sangeeta Yadav

Paper ID
219

An analysis of the performance and explainability of Graph Neural Networks for pharmaceutical counterfeit detection

Tanasa Ionut-Eduard; Laura-Maria Cornei; Oriana-Maria Onicescu

Industry Track

Paper ID
252

Complex Alert Prediction Using Process Mining

Parag Agrawal; Vikrant Shimpi; Maitreya Natu

Paper ID
262

Unified Waste Intelligence: A Vision-Language Foundation Model for Automated Waste Management

Lokendra Mandloi; P. K. Srijith; Madhuvanti Kale

Journal Track

Paper ID
2026-2187

Down Syndrome Phenotypic Classification Using Multi-Stage Generative Data Augmentation and Deep Compound Scaling Neural Networks

Sushil Kumar

Paper ID
2026-1744

HopfGAN: A Hopf Inspired Bifurcation Generative Advasarial Network Framework for Univariate Time Series Augmentation

Alexander Okhuese Victor

Paper ID
2026-1229

VisYogaNet: Visibility-Guided Lightweight Network for Yoga Pose Recognition

Thushara L

Paper ID
2026-972

Retrieval-Augmented Chart-grounded Fact Verification with Self-Consistent Vision–Language Reasoning

Neelu Verma

Paper ID
2026-964

Improving Few-shot Stance Detection with MINE: Meta-prompting and In-context N-shot Examples

Uwaila Ekhator

Paper ID
2026-945

Towards Vision-Language-Action Systems: A Statistical and Objective Study of Recent Advances

Rupam Bhattacharyya

Paper ID
2026-943

Bias and fairness in vision–language models and large language models: a survey on South Asian festival representations

Nitumani Sarmah

Paper ID
2026-930

ARGai 3.0: AI Fusion Approach to Identify Antibiotic-resistant Strains in E. coli using High-throughput Whole Genome Sequencing Data

Debasish Swapnesh Kumar Nayak

Paper ID
2026-867

A Framework for Hybrid CRM Personalization: Combining Rule- Based Logic with Machine Learning Predictions

Krishna Chaithanya Vuppala

Paper ID
2026-845

Explainable Yoga Pose Correction: A Data-Centric Framework using SHAP Driven Pose-Specific Feature Analytics

Thushara L

Paper ID
2026-561

Enhancing Graph-based Recommendations with Majority-Voting LLM-Rerank Augmentation

Dung D. Le

Paper ID
2026-560

KALM4Rec: Keyword-driven Retrieval-Augmented Large Language Models for Cold-start User Recommendations

Dung D. Le

Paper ID
2026-620

Adaptive Gradient-Norm Weighting for Improved Domain Adversarial Training

Iman Khazrak

Paper ID
2026-554

Knowledge-Augmented Multimodal Framework for Detecting and Countering Misogynistic Memes

Bharathi Raja Chakravarthi

Paper ID
2026-411

SF-CAMNet: A Spatial–Frequency Fusion Networkfor Robust Spatial Domain Image Steganalysis

Mehnaz Batool

Paper ID
2026-93

Impact of Hope-Inducing Communication on Online Consumer Sentiment and Engagement

Vedika Gupta

Paper ID
2025-2895

Intelligent Product Recommendation Using Market Basket Patterns and LLM-powered Retrieval Systems

Rania BENGHARSALLAH

Paper ID
2026-MLJ177

Photon: Efficient Prefix-Conditioned Image Captioning with Lightweight Transformer Decoding

Kalidas Yeturu

Paper ID
2026-MLJ191

From Relevance to Utility: Faith-Rank for Utility-Driven Evidence Re-ranking and Reliable Answering in Retrieval-Augmented Generation

Li Wang

Paper ID
2026-MLJ155

TAD-Bench: A Comprehensive Benchmark for Embedding-Based Text Anomaly Detection

Sikun Yang

Paper ID
2026-MLJ148

Forecasting the Evolution of Scientific Knowledge: A Dynamic Knowledge Graph Approach Integrating Temporal Embeddings and Large Language Models

Abdullah Al Imtihan

Paper ID
2026-MLJ144

Exploring the Potential of ChatGPT 5.0 and LexiBot as Automated Essay Scorers for IELTS Writing Task 2: A Comparison with Human Raters

Pham Xuan Phuong Ho

Paper ID
2026-MLJ138

Transforming Customer Support in a Startup Environment: From Machine Learning Classification to Retrieval-Augmented Generation

Catarina Amorim

Paper ID
2026-MLJ128

LLM-SocRec: Enhancing Graph-based Social Recommendation via Collaborative Large Language Models

Weiping Li

Paper ID
2026-MLJ116

LLM-Driven Compliance Checking for Natural-Language Policies over Data Product Descriptors

Diego Reforgiato Recupero

Paper ID
2026-917

Cortex: A Retrieval-Augmented Framework for Career-Aligned Learning Paths

Sonia Khetarpaul

Paper ID
2026-963

SentiMatrix: Parameter-Efficient Fine-Tuning of Encoder-Based Transformers for Multidimensional Sentiment Analysis

Md Easin Arafat

Large Language Models Track

Paper ID
6

Prompt Design Matters: Analyzing Temporal Consistency and Hallucination in LLM-based Dialogue State Tracking

Medha Aggarwal; Rishu Kumar; Shreya Yadav; Rajiv Misra

Paper ID
24

Quantifying LLM-as-a-Judge Uncertainty via Prediction Intervals: TubeNet, Tube Loss, and Conformal Prediction

Prince Chovatiya; Nakul Patel; Pritam Anand

Paper ID
44

Can LLMs Understand the Student Code-writing Process? Learner Profile Identification from Raw Keystrokes and Code Snapshot Sequences

Muhammad Fawad Akbar Khan; Ludia Eka Feri; John Edwards; Hamid Karimi

Paper ID
81

Accuracy is Not Enough: A Divergence-Based Approach to Evaluate Fidelity Loss in Quantized LLMs

Shahzeb Qamar; Lorenz Sparrenberg; Rafet Sifa; Christian Bauckhage; Baha Rababah; Cuneyt Gurcan Akcora; Carson Leung; Murat Kantarcioglu

Paper ID
83

How Semantically Stable Are LLM Refusals? Measuring Confusion in Local Safety Boundaries

Riad Ahmed Anonto; Md Labid Al Nahiyan; MD Tanvir Hassan

Paper ID
123

INTUNE System-of-Systems: An Event-Driven Architecture for Incremental Knowledge Distillation in Compact LLMs

Radhakrishna Bharuka; Abhang Pawar; Nilesh Vinod Dwivedi; ANSHUMAN GUHA; Animesh Chaturvedi

Paper ID
186

Models in the Same Family are NOT Trust-Equivalent

Rohit Raj Rai; Chirag Kothari; Siddhesh Shelke; Yatika Jena; Amit Awekar

Paper ID
230

ArgMinAnnotator: Cost-Efficient Argument Mining with LLM-Authored Labeling Functions

Ajanta Maurya; Parvigari Sai Kiran Chary; V. Vijaya Saradhi; Ashish Anand

Paper ID
246

SQL-based grounding of Small Language Models for Remote Sensing Visual Question Answering

Sourabh Barala; Kuldeep Ramchandra Kurte

Paper ID
247

What Does an LLM-Agent Leaderboard Rank Actually Compare?

Wei-Jung Huang

Paper ID
260

ScoreCLIQ2: Reward-aware Alignment in Feedback-guided Paraphrasing for MCQ Item Difficulty Estimation

Soujatya Sarkar; Manikandan Ravikiran; Rohit Saluja

Paper ID
268

Convergence of Gradient-based Optimization: An LLM-enabled Refinement Approach

Varun Gambhir; Somshekar M; Deeksha Joshi; Geetika; Surendra kumar; Upasana Ghoshal; Bapi Chatterjee

Paper ID
292

Agentic AI Driven Autonomous Security Orchestration and Response (Agentic SOAR)

Surabhi Dwivedi; Akshaya Acha; Balaji Rajendran; Praveen Ampatt; Sithu D Sudarsan

Research Track

Paper ID
23

Sensitivity of Epidemiological Toxicity Modeling to Observation Design

Nitin Agarwal; Hakan Erdem

Paper ID
25

Multi-Dimensional Apriori-Window: Exact Mining of Dense Itemset Regions over Arbitrary Dimensions

Kanata Takayasu; Taihei Takahashi; Satoshi Suga; Satoshi Kurihara

Paper ID
26

The Impact of Cross-Validation Schemes for Sleep Stage Detection Using Structural Learning

Nafisa Rehmani; RAJA SEKHAR BANOVOTH; Venkata Praveen Kumar Madhavarapu

Paper ID
27

Physics-Guided ADMM for Hyperspectral Anomaly Detection

KANDULA VEEKSHA SAI RISHITA

Paper ID
33

Assessing Limits of Weather-Based Vessel Speed Prediction Using AIS Data

DOUGLAS AMOBI AMOKE; Syed Mohsen Naqvi

Paper ID
50

Adversarial Robustness of Geometric Protein Stability Predictors under Physically Constrained Perturbations

A SHIVRAM; Tanmay Kumar Dalai; Aneesh Sreevallabh Chivukula; Manik Gupta

Paper ID
55

FluxAlloc: Adaptive Dynamic Memory Allocation

Sachin Mishra; Abhay Gotmare; Lomesh Soni

Paper ID
58

Quantum Fuzzy Neural Networks for Remote Plant Disease Detection

Michal Wieczorek; Jakub Si?ka; Jakub Jaromin; Marcin Wozniak

Paper ID
64

Fast And Accurate Text Content File Type Identification

Manu Nandan; Michael Brautbar; Edward Raff

Paper ID
67

How Smart are Smart Toys? Quantifying Smartness and Increasing Transparency for Toy Markets

Valentyna Pavliv; Isabel Wagner

Paper ID
71

Tailoring Data Preprocessing to Enhance the Predictive Performance of Ensemble-based AutoML

Julius Voggesberger; Peter Reimann; Sarah Dosdall; Bernhard Mitschang

Paper ID
73

Evaluating Out-of-Distribution Robustness in Graph-Based Android Malware Classification: A New Principled Benchmark

Ngoc N. Tran; Anwar Said; Waseem Abbas; Tyler Derr; Xenofon D. Koutsoukos

Paper ID
77

The Strategic Selectivity Diagnostic: Evaluating Social Tie Reasoning in Large Language Models

Nandini Maroo; Kavita Vemuri

Paper ID
80

ProbBERT: Probabilistic Transformer for Reliable Missing Value Imputation

Yanis charbti; Hasna Njah; Salma Jamoussi

Paper ID
87

DUSTCAST: Density-Adaptive Multi-Horizon PM2.5 Forecasting for Open-Pit Mine Monitoring

Maimouna Eulali Keita; Shailik Sarkar; Lulwah AlKulaib; Abdulaziz Alhamadani

Paper ID
94

Recommendation of Anonymization Methods from Natural-Language Descriptions: A RAG-Based Approach and Evaluation

Andrea Fieschi; Christoph Stach; Bernhard Mitschang

Paper ID
96

Recurrent Neural Networks with Swappable Parameters

Piotr Andruszkiewicz

Paper ID
100

Semantic Precision Error Rate - Quality Metric for Music Source Separation in the Context of Automatic Lyrics Transcription

Natalia Wilk; Piotr Andruszkiewicz

Paper ID
102

FP-HetHAN: Fingerprint-based Heterogeneous Hypergraph Attention Network for Molecular Property Prediction

Lilia Chebbah; Khaled Mohammed Saifuddin; Mehmet Emin Aktas; Esra Akbas

Paper ID
109

DriftBench: When Schema Drift Breaks Analytical Agent Rankings

Sahana Varadaraju; Bharathwaj Vijayakumar

Paper ID
115

Few-Shot Siamese Framework for Renal Cell Carcinoma Histopathology Images Classification

Rashika Bagri; Ankit Rajpal; Anjali Pal

Paper ID
124

Empirical Game-Theoretic Evaluation of Malware Byteplot Classifiers under APT-Style Adversarial Dynamics

Venkatesh Natarajan; A SHIVRAM; Pratham Jain; Aneesh Sreevallabh Chivukula

Paper ID
125

PlayerEmbed: Learning Behavioral Fingerprint Representations from Raw Input Sequences

Tobias Schneider; Lorenz Sparrenberg; Priya Tomar; Shahzeb Qamar; Tobias Deußer; Rafet Sifa

Paper ID
134

CRANE: Post-Hoc Counterfactual Retrieval for Multimodal Classifiers

Franco Rugolon; Ioanna Miliou; Panagiotis Papapetrou

Paper ID
140

State-Space Fusion of PET/CT and Clinical Graph Embeddings for Explainable Lung Cancer Classification

Kundan Kumar Sharma; Muhammad Abulaish

Paper ID
150

Counting Small Balanced (p, q)-bicliques in Signed Bipartite Graphs

MEKALA KIRAN; Apurba Das; Suman Banerjee; Tathagata Ray

Paper ID
151

Explainable AI in healthcare : Enhancing Diagnostic and Medical Treatment Through Interpretability

Redouane Bouhamoum

Paper ID
152

MADS: Ensemble LLM-based Multi-Agent Debate System for Political Bias Detection

Yik Yu Ng; Benjamin C. M. Fung; Elena Obukhova; Djedjiga Mouheb; Ching-Chun Huang; Shih-Chia Huang

Paper ID
154

Frontal fNIRS Forward Model Localisation for Emotional Valence Processing: A Reproducible Six-Stage Pipeline and Atlas Reliability Boundary Analysis

Archita Ganesh Sindigi

Paper ID
166

Unsupervised Anomaly Detection for Satellite Telemetry based on Change-Point Detection

Adriano Puglisi; Laurent Oudre

Paper ID
169

Enhancing GNN Representations via Homophily-Aware Subgraphs with Multi-Objective Learning

Tanvir Hossain; Khaled Mohammed Saifuddin; Esra Akbas

Paper ID
173

CoreEnt: Semantic Coreset Construction for Entity Summarization in Knowledge Graphs

Sohel Aman Khan; Raghava Mutharaju; Supratim Shit

Paper ID
175

FedACS-DP: Adaptive Client Selection with Communication-Efficient and Differentially Private Federated Learning

Nishu Kumari; PRASHANTH REDDY KEDIKA; Kishore Babu Nampalle; Roshan Singh; Rajesh Dwivedi; Dhiran Kumar Mahto

Paper ID
199

AMPKG: Extracting Concept Prerequisites from Multimodal Educational Media

Keshav Gupta; KAPIL GUPTA; Mukesh Mohania; Vikram Goyal

Paper ID
204

TimeCauST: Causally Constrained Adversarial Attacks via Granger-structural Confinement

Ayanabha Ghosh; Debasis Das

Paper ID
216

RyTHu-SaMaNVaYA: A Benchmark-Driven Study of Teacher-Student Adaptation for Agricultural Indic ASR

Madhuri Gottumukkala; Panigrahi Srikanth; Srivarsha Chivukula; Manoj Kumar Sunkara; Srinivas Rao Routhu

Paper ID
220

An Efficient MultiModal Framework for Crop Yield Prediction Using Sentinel-2

Abhinand P; Poonam Goyal; Arshveer Kaur; Ojas Jain; Navneet Goyal

Paper ID
221

Delay Complexity Dimension: Learning with Delayed and Censored Label

Madhava Gaikwad

Paper ID
229

On the Fragility of Federated Learning Defenses Under Dynamic Backdoor Attacks

Mohammed Ruknuddin; Pravija Raj Patinjare Veetil; Ashish Gupta

Paper ID
231

Metric-Guided Underwater Image Enhancement with Crowdsourced Subjective Evaluation

Do?ukan Öztürk; Avrajyoti Dutta; Dawid Juszka; Yi Zhang; Miko?aj Leszczuk

Paper ID
238

Why Is SHAP Not A Reliable Standalone Explanation Framework For Malware Detection?

Seyedreza Mohseni; Edward Raff; Manas Gaur

Paper ID
256

CHART: Curriculum-guided Hierarchy-Aware Relation classification via prompt Tuning

Soumya Bharadwaj; Anushka Gupta; Posa Mokshith; Ashish Anand

Paper ID
257

Gate Before You Generate: Neuro-Symbolic RAG for Faithful Legal Reasoning

Raghav Rao Ghanathe; Pavan Kumar Parvatam; Sachith Shibineni; P. Reddy; G Hanumantha Prasada Rao

Paper ID
263

FAFuse++: Joint Skin Lesion Segmentation and Classification via Gradient-Detached Lesion-Aware Attention

Bharat Chudasama; Tushar; BHARTI RANA

Paper ID
267

On-Demand Kernel-Column SMO: Memory-Linear Exact Updates for Kernel SVMs

Manikandan Ravikiran

Paper ID
275

Can the Rookies Cut the Tough Cookie? Exploring the Use of LLMs for SQL Equivalence Checking

Rajat Singh; Srikanta Bedathur

Paper ID
276

ARC-SHIELD: Safety-Locked Diagnostic Routing for Calibrated Runtime Shielding

Suvajyoti Biswas

Paper ID
280

TRINITY: A Tri-order Regularized Optimization with Adaptivity

Gauranshi Gupta; Anant Jain; Bapi Chatterjee

Paper ID
282

Memory-Efficient Inferencing In Extreme Multi-Label Text Classification Using Post-Training Quantization

Rudra Dutt; Yashaswi Verma

Paper ID
284

Feature-Informed Self-Supervised Learning for Time Series Understanding

Parv Thacker; Ayush Shrivastava; Nipun Batra

Survey and Vision Track

Paper ID
97

An Introduction to Compression-Based Machine Learning

John Hurwitz; Edward Raff; Charles K. Nicholas

Paper ID
188

Mining Time Interval-based Event Sequences (Temporal Database) - A Survey

Bijay Prasad Jaysawal; George Konstantinidis; Jen-Wei Huang; Christopher Maidens

Paper ID
270

From Templates to Foundation Models: A Cross-Task Survey of Machine Learning for Chemical Reaction Prediction

Priet Ukani; P. Reddy; U Deva Priyakumar; Riyaz Syed

Paper ID
288

Time Is Not an Index A Survey of Continuous-Time Models for Irregularly Sampled Time Series

Juee K. Shinde; Prasanna Chandrakant Dengale; Pranav Daga

Paper ID
289

Investigating Model-Agnostic Indicators for Hallucination Detection in Surgical Image Inpainting: A cautionary Tale

Priya Tomar; Philipp Feodorovici; Dhanakumaresh Subramani; Rafet Sifa; Christian Bauckhage

Tutorial Track

Paper ID
T01

Fairness-Aware Network Embedding: Algorithms, Applications, and Challenges

Ella Has; Harshith Kumar Yadav; Gaurav Dixit; Mykola Pechenizkiy; Akrati Saxena

Paper ID
T03

LLMs for Social Network Modeling: From Network Generation to Dynamic Processes

Shikha Mallick; Alex Thomo; Akrati Saxena

Paper ID
T04

Geospatial Foundation Models: Algorithms and Applications

Ranga Raju Vatsavai

CIVIL 2026: Computational Imaging, Vision, and Language

Paper ID
5

MOSAIC: Data-Efficient Cross-Sensor Alignment for Earth Observation Representation Learning

Yash Mittal; Deeksha Aggarwal; Uttam Kumar

Paper ID
29

Human-Grounded Calibration for Long-Text Image--Text Congruence in Vision-Language Models

Alessandro Gambetti; Qiwei Han

Paper ID
33

SPECTRAFORGE: Domain-Equalized Frequency-Spatial Fusion for Synthetic Dermatology Detection

Aman kumar; Latchan Chhetri; Dishant Das

Paper ID
46

A Hybrid Quantum--Classical EfficientNet--DVQC Model for Multi-Region Bone Fracture Classification from X-ray Images

D GNANAVENKATA KUMAR; YEDURUPATI SRINIVASA PRASAD; Penugonda Ravikumar

Paper ID
49

PC-RAR: Inference-Time Evidence Routing for Per-Person Action Recognition in Multi-Person Video

Suryanarayana R Yarrabothula; Manisha Chawla; Gagan Raj Gupta

Paper ID
52

Anatomy-Constrained Landmark Learning for Automated Pediatric Mixed Dentition Space Analysis

Sandeep Vissapragada; Gagan Raj Gupta; Ankita Taltia; Virat Galhotra

DS4SG 2026: Data Science for Social Good

Paper ID
17

A Multimodal LLM-Based Detection and Reasoning Framework for Deciphering Offensive Memes on Social Media Platform

Abhishek Singh; Omkeshwar; Naveen Saini; Nikhilanand Arya

Paper ID
23

Electricity Load Forecasting for the Indian National Grid Using Demand Behavior Features

Shriyans S Sahoo; Swetha S; K S Nataraj

Paper ID
24

A Component-Aware Framework to Simplify Legal Documents: An Experiment on Indian Judgements

Pavan Kumar Parvatam; P. Reddy; SANJU TIWARI; Dheeraj Kodati

Paper ID
35

Exploring Anomalies in Justice Delivery with a Data Cube-based Framework

Akshat Srivastava; P. Reddy; Keetha Nihal Kumar; Sriharshitha Bondugula

Paper ID
37

MARS: A Momentum-Aware Adaptive Rating System for Personalized Assessment

Vikrant Sahu; Khethavath Sunil Naik; Gagan Raj Gupta

MADL 2026: Maritime and Other Applications of Deep Learning Techniques

Paper ID
7

SEAGUARD: Split-Serpentine Federated Relative-Position Transformers for Explainable Maritime Anomaly Detection

Pronaya Bhattacharya; Sudip Chatterjee; Tamojit Roy; Srinkonee Singha Roy; Rutvij H Jhaveri; Kai Fang; Thippa Reddy Gadekallu

Paper ID
21

Harmonizing the Deep: Structure-Aware Reliability Assessment for Underwater Fish Detection

Marco Piccolo; Qiwei Han; Astrid van Toor; Joachim Vanneste

LLFM 2026: From Theory to Practice - Large Language and Foundation Models

Paper ID
15

ChatGIT: Intent-Aware Routing for Multi-Turn Conversational Code Retrieval

Prakhar Sethi; Anish Gupta; Ritwik Bhattacharyya; Vamsidhar Katamreddy; Sonia Khetarpaul; RAJIB MALL

Paper ID
30

Towards Empathetic AI: MITI-Guided Evaluation of Large Language Models for Motivational Interviewing

Vivek Kumar; Pushpraj Singh Rajawat; Amlan Basu; Ashish Kumar Jha

Paper ID
51

ZoneGate: Per-Zone Deployment Readiness for Vision-Language Models in Industrial CCTV

Suryanarayana R Yarrabothula; Manisha Chawla; Gagan Raj Gupta

SDS 2026: Scalable Data Science - Integration with Cloud and Distributed Systems

Paper ID
6

Morphology-Preserving Artifact-Aware Seizure Detection in Multi-Channel EEG via Hybrid Wavelet–Residual Attention

Varun Jagaddeb; Pronaya Bhattacharya; Rabel Guharoy; Kai Fang; Thippa Reddy Gadekallu

Paper ID
12

Scalable Transfer Learning for Sequential IoT Intrusion Detection with Heuristic-Guided Data Augmentation

Jakub Siłka; Michal Wieczorek; Marcin Wozniak; Jakub Jaromin