output
19942026
most citedDeep Learning in Alzheimer's disease: Diagnostic Classification and Prognostic Prediction using Neuroimaging Data

733 citations

74 papers

cs.HC2026

Mod-Guide: An LLM-based Content Moderation Feedback System to Address Insensitive Speech toward Indigenous Ethnic and Religious Minority Communities

Dipto Das, Achhiya Sultana, Ankit Singh Chauhan +5

Language operates as a mechanism of both marginalization and resistance, especially for minority communities navigating insensitive and harmful speech online. As content moderation…

cs.HC2026

RubRIX: Rubric-Driven Risk Mitigation in Caregiver-AI Interactions

Drishti Goel, Jeongah Lee, Qiuyue Joy Zhong +5

Caregivers seeking AI-mediated support express complex needs---information-seeking, emotional validation, and distress cues---that warrant careful evaluation of response safety and…

astro-ph.HE2025★ 3 cited

Constraints on Axion-Like Particles from VERITAS Observations of a Flaring Radio Galaxy in the Perseus Cluster

C. B. Adams, A. Archer, P. Bangale +62

Background: Axion-like particles (ALPs) are hypothetical particles that emerge in numerous theoretical extensions to the Standard Model. Their coupling to electromagnetic field imp…

cs.CY2025★ 1 cited

Leveraging Artificial Intelligence as a Strategic Growth Catalyst for Small and Medium-sized Enterprises

Oluwatosin Agbaakin

Artificial Intelligence (AI) has transitioned from a futuristic concept reserved for large corporations to a present-day, accessible, and essential growth lever for Small and Mediu…

cs.HC2025★ 6 cited

Mapping Caregiver Needs to AI Chatbot Design: Strengths and Gaps in Mental Health Support for Alzheimer's and Dementia Caregivers

Jiayue Melissa Shi, Dong Whi Yoo, Keran Wang +3

Family caregivers of individuals with Alzheimer's Disease and Related Dementia (AD/ADRD) face significant emotional and logistical challenges that place them at heightened risk for…

cs.HC2025★ 7 cited

Balancing Caregiving and Self-Care: Exploring Mental Health Needs of Alzheimer's and Dementia Caregivers

Jiayue Melissa Shi, Keran Wang, Dong Whi Yoo +2

Alzheimer's Disease and Related Dementias (AD/ADRD) are progressive neurodegenerative conditions that impair memory, thought processes, and functioning. Family caregivers of indivi…

cs.LG2025★ 3 cited

A Cost-Effective LLM-based Approach to Identify Wildlife Trafficking in Online Marketplaces

Juliana Barbosa, Ulhas Gondhali, Gohar Petrossian +4

Wildlife trafficking remains a critical global issue, significantly impacting biodiversity, ecological stability, and public health. Despite efforts to combat this illicit trade, t…

math.QA2025★ 1 cited

Intertwiners of representations of twisted quantum affine algebras

Keshav Dahiya, Evgeny Mukhin

We use the -characters to compute explicit expressions of the -matrices for first fundamental representations of all types of twisted quantum affine algebras.

math.QA2025★ 1 cited

Intertwiners of representations of untwisted quantum affine algebras and Yangians revisited

Keshav Dahiya, Evgeny Mukhin

We discuss applications of the -characters to the computation of the -matrices. In particular, we describe the -matrix acting in the tensor square of the first fundamental…

eess.IV2025★ 8 cited

Brain-Adapter: Enhancing Neurological Disorder Analysis with Adapter-Tuning Multimodal Large Language Models

Jing Zhang, Xiaowei Yu, Yanjun Lyu +7

Understanding brain disorders is crucial for accurate clinical diagnosis and treatment. Recent advances in Multimodal Large Language Models (MLLMs) offer a promising approach to in…

cond-mat.mtrl-sci2024★ 2 cited

Structural and magnetic properties of CoTeMoO revisited

Yu Li, Jared Coles, Xin Gui +11

We have conducted a comprehensive investigation into the magnetic properties of the chiral multiferroic material CoTeMoO. In contrast with the previous claim of canted antiferr…

cs.AI2024★ 9 cited

Bias Analysis of AI Models for Undergraduate Student Admissions

Kelly Van Busum, Shiaofen Fang

Bias detection and mitigation is an active area of research in machine learning. This work extends previous research done by the authors to provide a rigorous and more complete ana…

quant-ph2024

Chaos-Mediated Quantum State Discrimination Near Unit Fidelity

Sourav Paul, Anant Vijay Varma, Yogesh N. Joglekar +1

We investigate a ''quantum microscope'' for qubits based on nonlinear discrete-time chaotic dynamics, which exponentially amplifies the initially small fidelity of a pair of states…

cs.HC2024★ 4 cited

"The struggle is a part of the experience": Engaging Discontents in the Design of Family Meal Technologies

Yuxing Wu, Andrew D Miller, Chia-Fang Chung +1

Meals are a central (and messy) part of family life. Previous design framings for mealtime technologies have focused on supporting dietary needs or social and celebratory interacti…

quant-ph2024★ 6 cited

Engineering nonequilibrium steady states through Floquet Liouvillians

Weijian Chen, Maryam Abbasi, Serra Erdamar +3

We experimentally study the transient dynamics of a dissipative superconducting qubit under periodic drive towards its nonequilibrium steady states. The corresponding stroboscopic…

cs.HC2024★ 11 cited

Color Maker: a Mixed-Initiative Approach to Creating Accessible Color Maps

Amey Salvi, Kecheng Lu, Michael E. Papka +2

Quantitative data is frequently represented using color, yet designing effective color mappings is a challenging task, requiring one to balance perceptual standards with personal c…

quant-ph2023★ 7 cited

Non-Hermiticity in quantum nonlinear optics through symplectic transformations

Ross Wakefield, Anthony Laing, Yogesh N. Joglekar

Over the past decade classical optical systems with gain or loss, modelled by non-Hermitian parity-time symmetric Hamiltonians, have been deeply investigated. Yet, their applicabil…

physics.optics2023★ 1 cited

PT-symmetry enabled stable modes in multi-core fiber

Tamara Gratcheva, Yogesh N. Joglekar, Jay Gopalakrishnan

Open systems with balanced gain and loss, described by parity-time PT-symmetric Hamiltonians have been deeply explored over the past decade. Most explorations are limited to finite…

stat.CO2020

Learning Hamiltonian Monte Carlo in R

Samuel Thomas, Wanzhu Tu

Hamiltonian Monte Carlo (HMC) is a powerful tool for Bayesian computation. In comparison with the traditional Metropolis-Hastings algorithm, HMC offers greater computational effici…

math.NT2020★ 2 cited

Level spacing statistics for the multi-dimensional quantum harmonic oscillator: algebraic case

Alan Haynes, Roland Roeder

We study the statistical properties of the spacings between neighboring energy levels for the multi-dimensional quantum harmonic oscillator that occur in a window of fix…

cs.CR2020★ 45 cited

Online Social Deception and Its Countermeasures for Trustworthy Cyberspace: A Survey

Zhen Guo, Jin-Hee Cho, Ing-Ray Chen +3

We are living in an era when online communication over social network services (SNSs) have become an indispensable part of people's everyday lives. As a consequence, online social…

eess.IV2020★ 173 cited

Artificial Intelligence Assistance Significantly Improves Gleason Grading of Prostate Biopsies by Pathologists

Wouter Bulten, Maschenka Balkenhol, Jean-Joël Awoumou Belinga +17

While the Gleason score is the most important prognostic marker for prostate cancer patients, it suffers from significant observer variability. Artificial Intelligence (AI) systems…

gr-qc2019★ 37 cited

The Classical Symmetron Force in Casimir Experiments

Benjamin Elder, Valeri Vardanyan, Yashar Akrami +3

The symmetron is a typical example of screened modified gravity, wherein the symmetron force is dynamically suppressed in dense environments. This allows it to hide in traditional…

math-ph2019★ 28 cited

-Plane Zeros of the Potts Partition Function on Diamond Hierarchical Graphs

Shu-Chiuan Chang, Roland K. W. Roeder, Robert Shrock

We report exact results concerning the zeros of the partition function of the Potts model in the complex plane, as a function of a temperature-like Boltzmann variable , for…