yusuke1997/dblp-id-title huggingface dataset:
Domain Generalization for Improved Human Activity Recognition in Office Space Videos Using Adaptive Pre-processing
Far-Field Compression for Fast Kernel Summation Methods in High Dimensions
The Preliminary Evaluation of a Hypervisor-based Virtualization Mechanism for Intel Optane DC Persistent Memory Module
Overcoming Catastrophic Forgetting by XAI
Evolutionary Computation-Assisted Brainwriting for Large-Scale Online Ideation
GenKubeSec: LLM-Based Kubernetes Misconfiguration Detection, Localization, Reasoning, and Remediation
Snapshot Compressed Imaging Based Single-Measurement Computer Vision for Videos
Intent-Enhanced Data Augmentation for Sequential Recommendation
Encrypted and Covert DNS Queries for Botnets: Challenges and Countermeasures
HumanRefiner: Benchmarking Abnormal Human Generation and Refining with Coarse-to-fine Pose-Reversible Guidance
Bodioid: philosophical reflections on the hybrid of bodies and artefacts towards post-human
Construction of G 2 planar Hermite interpolants with prescribed arc lengths
Model-based Resonance Tracking of Linear Systems
Exploring Sampling Techniques for Generating Melodies with a Transformer Language Model
Truthfulness via Proxies
JaiLIP: Jailbreaking Vision-Language Models via Loss Guided Image Perturbation
Influence-based Attributions can be Manipulated
Could AI Trace and Explain the Origins of AI-Generated Images and Text?
Embedding AC Power Flow in the Complex Plane Part I: Modelling and Mathematical Foundation
Cognitive networks identify the content of English and Italian popular posts about COVID-19 vaccines: Anticipation, logistics, conspiracy and loss of trust
VOT: Revolutionizing Speaker Verification with Memory and Attention Mechanisms
SRN: Side-output Residual Network for Object Reflection Symmetry Detection and Beyond
LMLPA: Language Model Linguistic Personality Assessment
A Primer on Maximum Causal Entropy Inverse Reinforcement Learning
Performance Models for a Two-tiered Storage System
Learning Contrastive Feature Representations for Facial Action Unit Detection
Formal Semantics of Heterogeneous CUDA-C: A Modular Approach with Applications
Near-optimal Rank Adaptive Inference of High Dimensional Matrices
A numerical study of a PDE-ODE system with a stochastic dynamical boundary condition: a nonlinear model for sulphation phenomena
The Implicit Biases of Stochastic Gradient Descent on Deep Neural Networks with Batch Normalization
Multi-Modal Evaluation Approach for Medical Image Segmentation
LCSCNet: Linear Compressing Based Skip-Connecting Network for Image Super-Resolution
Predict the Rover Mobility over Soft Terrain using Articulated Wheeled Bevameter
Semi-Supervised Recognition of the Diploglossus Millepunctatus Lizard Species using Artificial Vision Algorithms
Computing Longitudinal Dynamic Derivatives of a VTOL Aircraft Using CFD Simulations and Forced-Oscillation Model
PeelNet: Textured 3D reconstruction of human body using single view RGB image
Intersection Types for a Computational Lambda-Calculus with Global State
Agent-based modeling and simulation for malware spreading in D2D networks
Wavelet-based Scale Saliency
Data Analytics with Differential Privacy
A Neural RDE-based model for solving path-dependent PDEs
On information rates over a binary input channel
A fast algorithm to remove proper and homogenous pairs of cliques (while preserving some graph invariants)
Personal Email Networks: An Effective Anti-Spam Tool
3D-Printed Dual-Polarized Magneto-Electric Dipole Antenna with Wideband High Isolation for Full-Duplex Applications
MAUP: Training-free Multi-center Adaptive Uncertainty-aware Prompting for Cross-domain Few-shot Medical Image Segmentation
Leveraging Deep Learning for Time Series Extrinsic Regression in predicting photometric metallicity of Fundamental-mode RR Lyrae Stars
Broadband Thermoelectric Energy Harvesting for Wearable Biosensors Using Plasmonic Field-Enhancement and Machine-Learning-Guided Device Optimization
Tableaux for Automated Reasoning in Dependently-Typed Higher-Order Logic (Extended Version)
Sistem Informasi Pengarsipan Menggunakan Algoritma Levensthein String pada Kecamatan Seberang Ulu II
InferBeam: A Fast Beam Alignment Protocol for Millimeter-wave Networking
Incremental Computation of Pseudo-Inverse of Laplacian: Theory and Applications
Training Wasserstein GANs without gradient penalties
Do Math Reasoning LLMs Help Predict the Impact of Public Transit Events?
Impacts and Risk of Generative AI Technology on Cyber Defense
Bibliometric Patterns and Concept Evolution Trajectories in research publications in Future Generation Computer Systems
Image-to-Text Logic Jailbreak: Your Imagination can Help You Do Anything
Diversity-Oriented Data Augmentation with Large Language Models
Mitigating Viewer Impact from Disturbing Imagery using AI Filters: A User-Study
HIRE: Lightweight High-Resolution Image Feature Enrichment for Multimodal LLMs
CountCluster: Training-Free Object Quantity Guidance with Cross-Attention Map Clustering for Text-to-Image Generation
Symbolic Execution for Randomized Programs
Fast communication-efficient spectral clustering over distributed data
The Impact of Mutation Rate on the Computation Time of Evolutionary Dynamic Optimization
UncertaintyFuseNet: Robust Uncertainty-aware Hierarchical Feature Fusion with Ensemble Monte Carlo Dropout for COVID-19 Detection
Deep Learning for Stability Analysis of a Freely Vibrating Sphere at Moderate Reynolds Number
Possibility Semantics
Encoder-Decoder Diffusion Language Models for Efficient Training and Inference
The CoCo-Beholder: Enabling Comprehensive Evaluation of Congestion Control Algorithms
Genetic Policy Optimization
New stability estimates for an unfitted finite element method for two-phase Stokes problem
On the Acceptability of Arguments in Preference-Based Argumentation
Cloud Detection through Wavelet Transforms in Machine Learning and Deep Learning
PepCompass: Navigating peptide embedding spaces using Riemannian Geometry
Composition, Cooperation, and Coordination of Computational Systems
Statistical Analysis to Support CSI-Based Sensing Methods
Meta-Learning with Network Pruning
IMPACT: Industrial Machine Perception via Acoustic Cognitive Transformer
SANA - Network Protection through artificial Immunity
Text-Queried Audio Source Separation via Hierarchical Modeling
A quasi-Monte Carlo multiscale method for the wave propagation in random media
Dynamic Hybrid Traffic Flow Modeling
Canonicity and Relativized Canonicity via Pseudo-Correspondence: an Application of ALBA
Uncertainty-Aware Semantic Decoding for LLM-Based Sequential Recommendation
Physics-Infused Reduced Order Modeling of Aerothermal Loads for Hypersonic Aerothermoelastic Analysis
ANODEV2: A Coupled Neural ODE Evolution Framework
PointHop++: A Lightweight Learning Model on Point Sets for 3D Classification
SDGF: Fusing Static and Multi-Scale Dynamic Correlations for Multivariate Time Series Forecasting
Configuration Structures, Event Structures and Petri Nets
Distributed Bearing-based Formation Control and Network Localization with Exogenous Disturbances
Determining the Consistency factor of Autopilot using Rough Set Theory
VisualQuest: A Diverse Image Dataset for Evaluating Visual Recognition in LLMs
Driver Fatigue Prediction using Randomly Activated Neural Networks for Smart Ridesharing Platforms
Anti-Tamper Protection for Unauthorized Individual Image Generation
AvatarBooth: High-Quality and Customizable 3D Human Avatar Generation
Step-by-step Layered Design Generation
Spread spectrum for imaging techniques in radio interferometry
Model Free Barrier Functions via Implicit Evading Maneuvers
The Environmental Discontinuity Hypothesis for Down-Sampled Lexicase Selection
PromptMoG: Enhancing Diversity in Long-Prompt Image Generation via Prompt Embedding Mixture-of-Gaussian Sampling
Transformer brain encoders explain human high-level visual responses
CCNx 1.0 Bidirectional Streams
Robust Motion In-betweening
Revisiting Static Feature-Based Android Malware Detection
Buffered Aloha with K-Exponential Backoff -- Part I: Stability and Throughput Analysis
Multilayer Complex Network Descriptors for Color-Texture Characterization
EEGUnity: Open-Source Tool in Facilitating Unified EEG Datasets Towards Large-Scale EEG Model
RustHorn: CHC-based Verification for Rust Programs (full version)
Bridging Cybersecurity Practice and Law: a Hands-on, Scenario-Based Curriculum Using the NICE Framework to Foster Skill Development
Egison: Non-Linear Pattern-Matching against Non-Free Data Types
An Exploration of Unreliable News Classification in Brazil and The U.S
Bag of Instances Aggregation Boosts Self-supervised Learning
The language and social behavior of innovators
Action-OOD: An End-to-End Skeleton-Based Model for Robust Out-of-Distribution Human Action Detection
Multimodal Machine Translation with Reinforcement Learning
Human-like object concept representations emerge naturally in multimodal large language models
RandONet: Shallow-Networks with Random Projections for learning linear and nonlinear operators
MIRB: Mathematical Information Retrieval Benchmark
Lead2Gold: Towards exploiting the full potential of noisy transcriptions for speech recognition
Optimization of a Finite Frequency-Hopping Ad Hoc Network in Nakagami Fading
Distillation-based fabric anomaly detection
Decoding Geometric Properties in Non-Random Data from First Information-Theoretic Principles
PlotXY: a high quality plotting system for the Herschel Interactive Processing Environment (HIPE), and the astronomical community
Depth and Representation in Vision Models
The Multi-Lane Capsule Network (MLCN)
Solution of linear equations and inequalities in idempotent vector spaces
Pattern matching under DTW distance
Instance Segmentation of Biomedical Images with an Object-aware Embedding Learned with Local Constraints
Position Paper: From Multi-Agent Pathfinding to Pipe Routing
Implementation of Stochastic Quasi-Newton's Method in PyTorch
Speeding up Krylov subspace methods for computing f(A)b via randomization
Change Detection in Noisy Dynamic Networks: A Spectral Embedding Approach
Entropic Dynamic Time Warping Kernels for Co-evolving Financial Time Series Analysis
L1 logistic regression as a feature selection step for training stable classification trees for the prediction of severity criteria in imported malaria
Continual Learning with Diffusion-based Generative Replay for Industrial Streaming Data
Evaluating the Performance of IPTV over Fixed WiMAX
A Review of Evaluation Techniques for Social Dialogue Systems
Frequency Tracking Features for Data-Efficient Deep Siren Identification
Power Side-Channel Analysis of the CVA6 RISC-V Core at the RTL Level Using VeriSide
TOPS: Transition-based VOlatility-controlled Policy Search and its Global Convergence
ReLU Deep Neural Networks from the Hierarchical Basis Perspective
An Implementation Framework (IF) for the National Information Assurance and Cyber Security Strategy (NIACSS) of Jordan
Fairness-Aware Insurance Pricing: A Multi-Objective Optimization Approach
Learning a Better Control Barrier Function Under Uncertain Dynamics
Harnessing Knowledge Retrieval with Large Language Models for Clinical Report Error Correction
GROMACS in the cloud: A global supercomputer to speed up alchemical drug design
Online Fair Division with Additional Information
Broadcast independence number of oriented circulant graphs
Agent Bain vs. Agent McKinsey: A New Text-to-SQL Benchmark for the Business Domain
Spectral estimation of the percolation transition in clustered networks
USF-MAE: Ultrasound Self-Supervised Foundation Model with Masked Autoencoding
AI Should Not Be an Open Source Project
DeepCOVIDExplainer: Explainable COVID-19 Predictions Based on Chest X-ray Images
Constructing unlabelled lattices
Machine translation considering context information using Encoder-Decoder model
Fast adjoint differentiation of chaos
A Data and Compute Efficient Design for Limited-Resources Deep Learning
Lagrangian neural networks for nonholonomic mechanics
Research on Dynamic Data Flow Anomaly Detection based on Machine Learning
BBRv2+: Towards Balancing Aggressiveness and Fairness with Delay-based Bandwidth Probing
Emergence Explained
Sketch-Plan-Generalize: Continual Few-Shot Learning of Inductively Generalizable Spatial Concepts for Language-Guided Robot Manipulation
Accelerating the Training of Video Super-Resolution Models
Neural Network Compression for Reinforcement Learning Tasks
A Discrete Perspective Towards the Construction of Sparse Probabilistic Boolean Networks
RISE-Based Adaptive Control with Mass-Inertia Parameter Estimation for Aerial Transportation of Multi-Rotor UAVs
Nonnegative Low-rank Matrix Recovery Can Have Spurious Local Minima
MARCO: Hardware-Aware Neural Architecture Search for Edge Devices with Multi-Agent Reinforcement Learning and Conformal Prediction Filtering
Adaptive Estimation for Nonlinear Systems using Reproducing Kernel Hilbert Spaces
Potential adversarial samples for white-box attacks
The Gaussian Latent Machine: Efficient Prior and Posterior Sampling for Inverse Problems
Detection Made Easy: Potentials of Large Language Models for Solidity Vulnerabilities
A Digital Signature with Threshold Generation and Verification
The Improvement of Negative Sentences Translation in English-to-Korean Machine Translation
What's a Good Prediction? Issues in Evaluating General Value Functions Through Error
Channel Modeling for Metamaterial-Enhanced Underground Wireless Communications
Strategic Coupon Allocation for Increasing Providers' Sales Experiences in Two-sided Marketplaces
Domain-adaptive deep network compression
Duality for Min-Max Orderings and Dichotomy for Min Cost Homomorphisms
Detection, Analysis, and Prediction of Research Topics with Scientific Knowledge Graphs
CryptoSPN: Privacy-preserving Sum-Product Network Inference
ProACT: An Augmented Reality Testbed for Intelligent Prosthetic Arms
Characterizing traits of coordination
Sleep-Like Unsupervised Replay Improves Performance when Data are Limited or Unbalanced
Temporal Logic Planning for Minimum-Time Positioning of Multiple Threat-Seduction Decoys
STAR-GO: Improving Protein Function Prediction by Learning to Hierarchically Integrate Ontology-Informed Semantic Embeddings
A Metamodel and Framework for AGI
Materials Representation and Transfer Learning for Multi-Property Prediction
Beyond Robustness: A Taxonomy of Approaches towards Resilient Multi-Robot Systems
Measurement to Meaning: A Validity-Centered Framework for AI Evaluation
Understanding the Limitations of Diffusion Concept Algebra Through Food
The Scattering Transform Network with Generalized Morse Wavelets and Its Application to Music Genre Classification
PrompTrend: Continuous Community-Driven Vulnerability Discovery and Assessment for Large Language Models
Harnessing Explanations to Bridge AI and Humans
Machine learning method for light field refocusing
Cyber Risks to Next-Gen Brain-Computer Interfaces: Analysis and Recommendations
A digital interface for Gaussian relay networks: lifting codes from the discrete superposition model to Gaussian relay networks
Iroko: A Framework to Prototype Reinforcement Learning for Data Center Traffic Control
Sustainability Evaluation Metrics for Recommender Systems
SOLD: Reinforcement Learning with Slot Object-Centric Latent Dynamics
Alternating direction algorithms for ℓ 0 regularization in compressed sensing
On the Construction of Safe Controllable Regions for Affine Systems with Applications to Robotics
Airfoil generation and feature extraction using the conditional VAE-WGAN-gp
A Comparison of Deep Learning Architectures for Spacecraft Anomaly Detection
Some Aspects of Geometric Computer Vision for Analysing Dynamical Scenes focusing Automotive Applications
Almost-unsupervised Speech Recognition with Close-to-zero Resource Based on Phonetic Structures Learned from Very Small Unpaired Speech and Text Data
Unveiling Molecular Secrets: An LLM-Augmented Linear Model for Explainable and Calibratable Molecular Property Prediction
What to tell when? - Information Provision as a Game
Primal-Dual UNet for Sparse View Cone Beam Computed Tomography Volume Reconstruction
Temporally Consistent Dynamic Scene Graphs: An End-to-End Approach for Action Tracklet Generation
Ainur: A Framework for Repeatable End-to-End Wireless Edge Computing Testbed Research
Transformer-Based Explainable Deep Learning for Breast Cancer Detection in Mammography: The MammoFormer Framework
Likelihood Ratio Tests by Kernel Gaussian Embedding
Supporting Multiparty Signing over Named Data Networking
3D Multiple Object Tracking on Autonomous Driving: A Literature Review
On the locality bias and results in the Long Range Arena
Preselection Bandits under the Plackett-Luce Model
Machine and Deep Learning for Indoor UWB Jammer Localization
Logic programming beyond Prolog
Cleaner Pretraining Corpus Curation with Neural Web Scraping
Data-driven Advice for Applying Machine Learning to Bioinformatics Problems
Random Forests for time-fixed and time-dependent predictors: The DynForest R package
MuVAM: A Multi-View Attention-based Model for Medical Visual Question Answering
Tool Supported Analysis of IoT
Your Instructions Are Not Always Helpful: Assessing the Efficacy of Instruction Fine-tuning for Software Vulnerability Detection
EPEE: Towards Efficient and Effective Foundation Models in Biomedicine
FCA2: Frame Compression-Aware Autoencoder for Modular and Fast Compressed Video Super-Resolution
Malice in Agentland: Down the Rabbit Hole of Backdoors in the AI Supply Chain
Towards an AAK Theory Approach to Approximate Minimization in the Multi-Letter Case
Blind Identification of Distributed Antenna Systems with Multiple Carrier Frequency Offsets
Gröbner bases and critical values: The asymptotic combinatorics of determinantal systems
Plug and play methods for magnetic resonance imaging
Counting Kernels in Directed Graphs with Arbitrary Orientations
Computing Derivatives for PETSc Adjoint Solvers using Algorithmic Differentiation
Olfactory Label Prediction on aroma-chemical Pairs
Pointing Error Analysis of Optically Pre-Amplified Pulse Position Modulation Receivers
Path Diffuser: Diffusion Model for Data-Driven Traffic Simulator
Environment Predictive Coding for Embodied Agents
NordIQuEst: the Nordic-Estonian Quantum Computing e-Infrastructure Quest
Learning Smooth State-Dependent Traversability from Dense Point Clouds
Unsupervised Dense Retrieval Deserves Better Positive Pairs: Scalable Augmentation with Query Extraction and Generation
All Roads Lead to Rome? Exploring the Invariance of Transformers' Representations
5G NR-V2X: Towards Connected and Cooperative Autonomous Driving
An O(m^2 log m)-Competitive Algorithm for Online Machine Minimization
Unsupervised Latent Tree Induction with Deep Inside-Outside Recursive Autoencoders
Dynamic System Stability Verification Using Numerical Simulator
Non-Linear Counterfactual Aggregate Optimization
Looking for the Human in HRI Teaching: User-Centered Course Design for Tech-Savvy Students
RAG-BioQA Retrieval-Augmented Generation for Long-Form Biomedical Question Answering
Consensus Mechanism Design based on Structured Directed Acyclic Graphs
A conditional compression distance that unveils insights of the genomic evolution
Downlink Power Minimization in Intelligent Reconfigurable Surface-Aided Security Classification Wireless Communications System
DYMO-Hair: Generalizable Volumetric Dynamics Modeling for Robot Hair Manipulation
Synthetic Image Generation in Cyber Influence Operations: An Emergent Threat?
Parsimonious Dataset Construction for Laparoscopic Cholecystectomy Structure Segmentation
Characteristics and Motivations of Players with Disabilities in Digital Games
Smoothing with the Best Rectangle Window is Optimal for All Tapered Rectangle Windows
Higher weight distribution of linearized Reed-Solomon codes
Beyond Embeddings: The Promise of Visual Table in Multi-Modal Models
Equilibria of an anisotropic nonlocal interaction equation: Analysis and numerics
Securing External Deeper-than-black-box GPAI Evaluations
From Instructions to Constraints: Language Model Alignment with Automatic Constraint Verification
Anomalous behaviour in loss-gradient based interpretability methods
Towards Green and Infinite Capacity in Wireless Communication Networks: Beyond The Shannon Theorem
COVID-Net USPro: An Open-Source Explainable Few-Shot Deep Prototypical Network to Monitor and Detect COVID-19 Infection from Point-of-Care Ultrasound Images
SIMBA: A Skyrmionic In-Memory Binary Neural Network Accelerator
Graph Warp Module: an Auxiliary Module for Boosting the Power of Graph Neural Networks
Accurate Streaming Support Vector Machines
Positivity-Preserving Well-Balanced Central Discontinuous Galerkin Schemes for the Euler Equations under Gravitational Fields
Provably Secure Steganography on Generative Media
A Conceptual Framework for Human-AI Collaborative Genome Annotation
Analyzing resilience of interest-based social networks against node and link failures
Class-dependent Compression of Deep Neural Networks
Prediction of Workplace Injuries
Linear convergence of a policy gradient method for finite horizon continuous time stochastic control problems
Efficiently expressing feasibility problems in Linear Systems, as feasibility problems in Asymptotic-Linear-Programs
A Bi-Orthogonal Structure-Preserving eigensolver for large-scale linear response eigenvalue problem
Forecasting and stabilizing chaotic regimes in two macroeconomic models via artificial intelligence technologies and control methods
Exact Learning from an Honest Teacher That Answers Membership Queries
S-Graphs+: Real-time Localization and Mapping leveraging Hierarchical Representations
Convolutional Spectral Kernel Learning
The Second DISPLACE Challenge : DIarization of SPeaker and LAnguage in Conversational Environments
Open Data, Grey Data, and Stewardship: Universities at the Privacy Frontier
Phantom-Insight: Adaptive Multi-cue Fusion for Video Camouflaged Object Detection with Multimodal LLM
The Impact of Side Information on Physical Layer Security under Correlated Fading Channels
Long-Short Chain-of-Thought Mixture Supervised Fine-Tuning Eliciting Efficient Reasoning in Large Language Models
The Ensemble Kalman Update is an Empirical Matheron Update
MRDust: Wireless Implant Data Uplink & Localization via Magnetic Resonance Image Modulation
Exploring Visual Culture Awareness in GPT-4V: A Comprehensive Probing
Automated Detection of Acute Lymphoblastic Leukemia Subtypes from Microscopic Blood Smear Images using Deep Neural Networks
Optimality Loss Minimization in Distributed Control with Application to District Heating
Learning with CVaR-based feedback under potentially heavy tails
PsyDI: Towards a Personalized and Progressively In-depth Chatbot for Psychological Measurements
Selective Feature Connection Mechanism: Concatenating Multi-layer CNN Features with a Feature Selector
Does it pay to optimize AUC?
Multitask Deep Learning for Accurate Risk Stratification and Prediction of Next Steps for Coronary CT Angiography Patients
Models of Continuous-Time Networks with Tie Decay, Diffusion, and Convection
SentiCite: An Approach for Publication Sentiment Analysis
OOD-Speech: A Large Bengali Speech Recognition Dataset for Out-of-Distribution Benchmarking
Paired Open-Ended Trailblazer (POET): Endlessly Generating Increasingly Complex and Diverse Learning Environments and Their Solutions
Robust Price Discrimination
Structural Segmentation and Labeling of Tabla Solo Performances
Competitive Robust Dynamic Pricing in Continuous Time with Fixed Inventories
Targeting Relative Risk Heterogeneity with Causal Forests
On minimal factorizations of words as products of palindromes
MAC Revivo: Artificial Intelligence Paves the Way
Comparing the Bit-MAP and Block-MAP Decoding Thresholds of Reed-Muller Codes on BMS Channels
Robust and Approximately Stable Marriages under Partial Information
Bounds on monotone switching networks for directed connectivity
Interference Reduction in High Density WLAN Deployments using antenna Selection
MMRotate: A Rotated Object Detection Benchmark using Pytorch
When Does Global Attention Help? A Unified Empirical Study on Atomistic Graph Learning
Strong immersions and maximum degree
Distilled Large Language Model in Confidential Computing Environment for System-on-Chip Design