yusuke1997/dblp-id-title huggingface dataset:
REN: Fast and Efficient Region Encodings from Patch-Based Image Encoders
A Tutorial on the Design, Experimentation and Application of Metaheuristic Algorithms to Real-World Optimization Problems
Prediction of Platinum Prices Using Dynamically Weighted Mixture of Experts
AMAP Agentic Planning Technical Report
A cell-centered Lagrangian ADER-MOOD finite volume scheme on unstructured meshes for a class of hyper-elasticity models
Having our omic cake and eating it too: Evaluating User Response to using Blockchain Technology for Private & Secure Health Data Management and Sharing
Time Series Clustering for Human Behavior Pattern Mining
Recommendations on test datasets for evaluating AI solutions in pathology
DreamCatcher: Revealing the Language of the Brain with fMRI using GPT Embedding
Invariant Layers for Graphs with Nodes of Different Types
Boosting Algorithms for Estimating Optimal Individualized Treatment Rules
Non-minimum tensor rank Gabidulin codes
Three Variables are Enough for Real-Time Specification
Towards Text-based Phishing Detection
Robust Control Design and Analysis for Nonlinear Systems with Uncertain Initial Conditions Based on Lifting Linearization
Obstacle-aware Gaussian Process Regression
A definable number which cannot be approximated algorithmically
How Much Do LLMs Hallucinate across Languages? On Multilingual Estimation of LLM Hallucination in the Wild
The Future of Mobile Security
Quantum Computation with Machine-Learning-Controlled Quantum Stuff
SubApSnap: Solving parameter-dependent linear systems with a snapshot and subsampling
Introducing Morphit, a new type of spreadsheet technology
Topological Data Analysis of Neural Network Layer Representations
Deep Reinforcement Learning With Macro-Actions
DropKey
Visualizing Cognitive Moves for Assessing Information Perception Biases in Decision Making
Quantitative dynamics of design thinking and creativity perspectives in company context
FORTRESS: Function-composition Optimized Real-Time Resilient Structural Segmentation via Kolmogorov-Arnold Enhanced Spatial Attention Networks
Spread spectrum magnetic resonance imaging
Continuous Time Evidential Distributions for Irregular Time Series
A Note on Nested String Replacements
A funny companion: Distinct neural responses to perceived AI- versus human-generated humor
Anthem 2.0: Automated Reasoning for Answer Set Programming
Fault Detection and Human Intervention in Vehicle Platooning: A Multi-Model Framework
Unintended memorisation of unique features in neural networks
Noisy Neighbor: Exploiting RDMA for Resource Exhaustion Attacks in Containerized Clouds
Computational Models for Multiview Dense Depth Maps of Dynamic Scene
A solution for secure use of Kibana and Elasticsearch in multi-user environment
Temporal Robustness against Data Poisoning
Distributed Computation of Linear Inverse Problems with Application to Computed Tomography
An Analytical Model of Information Dissemination for a Gossip-based Protocol
MuMu-LLaMA: Multi-modal Music Understanding and Generation via Large Language Models
V-LoRA: An Efficient and Flexible System Boosts Vision Applications with LoRA LMM
Learning-Based Heuristic for Combinatorial Optimization of the Minimum Dominating Set Problem using Graph Convolutional Networks
Data Poisoning in Deep Learning: A Survey
Deep Learning Descriptor Hybridization with Feature Reduction for Accurate Cervical Cancer Colposcopy Image Classification
Closing the gap for single resource constraint scheduling
GEAR: Geometry-Aware Rényi Information
Enhancing Small Language Models for Cross-Lingual Generalized Zero-Shot Classification with Soft Prompt Tuning
Combating Misinformation in the Age of LLMs: Opportunities and Challenges
In-The-Field Monitoring of Functional Calls: Is It Feasible?
Coding for Network Coding
Convergence of Random Batch Method for interacting particles with disparate species and weights
DETNO: A Diffusion-Enhanced Transformer Neural Operator for Long-Term Traffic Forecasting
A fibre Smart Displacement Based (FSDB) beam element for the nonlinear analysis of R/C members
Pricing in Resource Allocation Games Based on Duality Gaps
Task-oriented Prompt Enhancement via Script Generation
rnn : Recurrent Library for Torch
Regression Testing Optimization for ROS-based Autonomous Systems: A Comprehensive Review of Techniques
A New Model for Massively Parallel Computation Considering both Communication and IO Cost
Video Extrapolation with an Invertible Linear Embedding
FTFDNet: Learning to Detect Talking Face Video Manipulation with Tri-Modality Interaction
Estimation of Inter-Sentiment Correlations Employing Deep Neural Network Models
On Wave-Based Majority Gates with Cellular Automata
Exact recovery of functions in refinable shift-invariant space by single-angle Radon samples
Explanation-based Learning for Machine Translation
Tracking Snake-like Robots in the Wild Using Only a Single Camera
Deep Attention-guided Hashing
Easy testability for posets
Towards adaptive trajectories for mixed autonomous and human-operated ships
Local Area Routes for Vehicle Routing Problems
Infusing Learned Priors into Model-Based Multispectral Imaging
Effective Numerical Simulations of Synchronous Generator System
Analysis of Lower Bounds for Simple Policy Iteration
DICOM De-Identification via Hybrid AI and Rule-Based Framework for Scalable, Uncertainty-Aware Redaction
Mixtures Closest to a Given Measure: A Semidefinite Programming Approach
EPIK: Eliminating multi-model Pipelines with Knowledge-distillation
Learning Outcome Oriented Programmatic Assessment
Algorithmic risk assessments can alter human decision-making processes in high-stakes government contexts
Towards Universal Solvers: Using PGD Attack in Active Learning to Increase Generalizability of Neural Operators as Knowledge Distillation from Numerical PDE Solvers
Reproducible Evaluation of Pan-Tilt-Zoom Tracking
Spade: An Expression-Based HDL With Pipelines
Experimental demonstration of a quantum generative adversarial network for continuous distributions
Coded Caching in Fog-RAN: b-Matching Approach
Context-aware TFL: A Universal Context-aware Contrastive Learning Framework for Temporal Forgery Localization
Pruning Techniques for the Stochastic on-time Arrival Problem\texorpdfstring - An Experimental Study
A Comprehensive Approach for Learning-based Fully-Automated Inter-slice Motion Correction for Short-Axis Cine Cardiac MR Image Stacks
Predicting First Year Dropout from Pre Enrolment Motivation Statements Using Text Mining
Spreadsheets in Clinical Medicine
Draft Auctions
A survey of subspace recycling iterative methods
DepthFusion: Depth-Aware Hybrid Feature Fusion for LiDAR-Camera 3D Object Detection
Enhancing Satellite Object Localization with Dilated Convolutions and Attention-aided Spatial Pooling
An Empirical Deep Dive into Deep Learning's Driving Dynamics
Are self-citations a normal feature of knowledge accumulation?
Deep Learning for automatic head and neck lymph node level delineation
RPYFMM: Parallel Adaptive Fast Multipole Method for Rotne-Prager-Yamakawa Tensor in Biomolecular Hydrodynamics Simulations
Modelling dynamic route choice of pedestrians to assess the criticality of building evacuation
Optimal and efficient text counterfactuals using Graph Neural Networks
ShieldGemma 2: Robust and Tractable Image Content Moderation
V2X Intention Sharing for Cooperative Electrically Power-Assisted Cycles
HealthE: Classifying Entities in Online Textual Health Advice
Adversarial Attack across Datasets
CARIS: A Context-Adaptable Robot Interface System for Personalized and Scalable Human-Robot Interaction
Perceptual Grouping in Vision-Language Models
Piecewise Affine Curvature model: a reduced-order model for soft robot-environment interaction beyond PCC
End-to-end Multi-Modal Multi-Task Vehicle Control for Self-Driving Cars with Visual Perception
SCFNet:A Transferable IIIC EEG Classification Network
How Do Multilingual Encoders Learn Cross-lingual Representation?
Deep neural network for optimal retirement consumption in defined contribution pension system
On the Insufficiency of the Large Margins Theory in Explaining the Performance of Ensemble Methods
A Research Vision for Web Search on Emerging Topics
MoCLIP: Motion-Aware Fine-Tuning and Distillation of CLIP for Human Motion Generation
Spatio-temporal Tendency Reasoning for Human Body Pose and Shape Estimation from Videos
A Comparison of Machine Learning Algorithms for the Surveillance of Autism Spectrum Disorder
Which is the best model for my data?
Hypergraph covering problems motivated by genome assembly questions
Duality Diagram Similarity: a generic framework for initialization selection in task transfer learning
Minkowski games
Programmable Deformation Design of Porous Soft Actuator through Volumetric-Pattern-Induced Anisotropy
Analytic and Algorithmic Aspects of Generalized Harmonic Sums and Polylogarithms
Superconductor Logic Implementation with All-JJ Inductor-Free Cell Library
On Mathematics of Bubbles in Dynamical Systems
A Proposal for a Lean and Functional Delivery versus Payment across two Blockchains
HLStrans: Dataset for LLM-Driven C-to-HLS Hardware Code Synthesis
Causal2Vec: Improving Decoder-only LLMs as Versatile Embedding Models
Automatic Radish Wilt Detection Using Image Processing Based Techniques and Machine Learning Algorithm
Universal Dynamics with Globally Controlled Analog Quantum Simulators
On the Alternative Relaying Diamond Channel with Conferencing Links
Bio-Heat Transfer and Monte Carlo Measurement of Near-Infrared Transcranial Stimulation of Human Brain
Less Diverse, Less Safe: The Indirect But Pervasive Risk of Test-Time Scaling in Large Language Models
Two-dimensional total absorption spectroscopy with conditional generative adversarial networks
Soft Masked Mamba Diffusion Model for CT to MRI Conversion
Acceleration and restart for the randomized Bregman-Kaczmarz method
Source Free Unsupervised Graph Domain Adaptation
PySlyde: A Lightweight, Open-Source Toolkit for Pathology Preprocessing
Function Delivery Network: Extending Serverless Computing for Heterogeneous Platforms
Self-Adaptive and Robust Federated Spectrum Sensing without Benign Majority for Cellular Networks
Can Interpretable Reinforcement Learning Manage Assets Your Way?
Exploring the Effectiveness of Large Language Models in Generating Unit Tests
Using Conditional Generative Adversarial Networks to Generate Ground-Level Views From Overhead Imagery
Beamspace Aware Adaptive Channel Estimation for Single-Carrier Time-varying Massive MIMO Channels
Point-supervised Segmentation of Microscopy Images and Volumes via Objectness Regularization
Verification of Bitcoin's Smart Contracts in Agda using Weakest Preconditions for Access Control
Observability and parameter estimation of a generic model for aggregated distributed energy resources
BRIDO: Bringing Democratic Order to Abstractive Summarization
Entropy Regularized Power k-Means Clustering
End-to-end optimized image compression with competition of prior distributions
On the Meaning of Transition System Specifications
Contraction, Criticality, and Capacity: A Dynamical-Systems Perspective on Echo-State Networks
A Machine Learning Tool to Determine State of Mind and Emotion
Learning Conserved Networks from Flows
Duality-free Methods for Stochastic Composition Optimization
Comparative Field Deployment of Reinforcement Learning and Model Predictive Control for Residential HVAC
Cardiac CT perfusion imaging of pericoronary adipose tissue (PCAT) highlights potential confounds in coronary CTA
Evaluating LLM Safety Across Child Development Stages: A Simulated Agent Approach
Towards a Theory of Systems Engineering Processes: A Principal-Agent Model of a One-Shot, Shallow Process
Constructive Approach to Bidirectional Causation between Qualia Structure and Language Emergence
Dynamic Long Short-Term Memory Based Memory Storage For Long Horizon LLM Interaction
Detection and Classification of Diabetic Retinopathy using Deep Learning Algorithms for Segmentation to Facilitate Referral Recommendation for Test and Treatment Prediction
Smartphone monitoring of smiling as a behavioral proxy of well-being in everyday life
GeoThought: A Dataset for Enhancing Mathematical Geometry Reasoning in Vision-Language Models
A predictive analytics approach to reducing avoidable hospital readmission
Don't Stop Learning: Towards Continual Learning for the CLIP Model
Privacy for Rescue: A New Testimony Why Privacy is Vulnerable In Deep Models
Continual Learning with Query-Only Attention
Please, no more scientific journals! The strategy of the scientific publication system
Improved Target-specific Stance Detection on Social Media Platforms by Delving into Conversation Threads
Assisted music creation with Flow Machines: towards new categories of new
End-to-End Reaction Field Energy Modeling via Deep Learning based Voxel-to-voxel Transform
Neural Computing with Coherent Laser Networks
Speeding up TestU01 with the use of HTCondor
Early Exit Or Not: Resource-Efficient Blind Quality Enhancement for Compressed Images
Periodic Proprioceptive Stimuli Learning and Internal Model Development for Avian-inspired Flapping-wing Flight State Estimation
END 2 : Robust Dual-Decoder Watermarking Framework Against Non-Differentiable Distortions
Outlier-based Autism Detection using Longitudinal Structural MRI
Quantum Computer Simulations at Warp Speed: Assessing the Impact of GPU Acceleration
Foundation Reinforcement Learning: towards Embodied Generalist Agents with Foundation Prior Assistance
Software Engineering for Millennials, by Millennials
Tikhonov functionals with a tolerance measure introduced in the regularization
Normalized Gradients for All
The Vietoris-Rips complexes of a circle
Edge-ASR: Towards Low-Bit Quantization of Automatic Speech Recognition Models
A unified framework for designing EPTAS's for load balancing on parallel machines
Analysis of the ICML 2023 Ranking Data: Can Authors' Opinions of Their Own Papers Assist Peer Review in Machine Learning?
On computing the vertex connectivity of 1-plane graphs
Graphical Estimation of Permeability Using RST&NFIS
ShuffleMix: Improving Representations via Channel-Wise Shuffle of Interpolated Hidden States
ORCHNet: A Robust Global Feature Aggregation approach for 3D LiDAR-based Place recognition in Orchards
Pathfinding Neural Cellular Automata
Encoding Argumentation Frameworks to Propositional Logic Systems
A Simple LSTM model for Transition-based Dependency Parsing
Extending Dataset Pruning to Object Detection: A Variance-based Approach
Generalizable Neural Performer: Learning Robust Radiance Fields for Human Novel View Synthesis
ORS: A novel Olive Ridley Survival inspired Meta-heuristic Optimization Algorithm
Analysing Russian Trolls via NLP tools
Clustering function: a measure of social influence
Dislocated Accountabilities in the AI Supply Chain: Modularity and Developers' Notions of Responsibility
Mitigating Popularity Bias in Collaborative Filtering through Fair Sampling
Complete Dynamic Logic of Communicating Hybrid Programs
A Recursive Encoding for Cuneiform Signs
Are LLM-generated plain language summaries truly understandable? A large-scale crowdsourced evaluation
Automatic detection of diseases in Spanish clinical notes combining medical language models and ontologies
LLMCarbon: Modeling the end-to-end Carbon Footprint of Large Language Models
Multi-Layer Ensembling Techniques for Multilingual Intent Classification
Anatomical Predictions using Subject-Specific Medical Data
FashionEngine: Interactive Generation and Editing of 3D Clothed Humans
A Survey of Wireless Sensing Security from a Role-Based View: Victim, Weapon, and Shield
Count-min sketch with variable number of hash functions: an experimental study
New Constructions of Complementary Sequence Pairs over 4 q -QAM
Reduction of Second-Order Network Systems with Structure Preservation
How Do Graph Signals Affect Recommendation: Unveiling the Mystery of Low and High-Frequency Graph Signals
Spectral Power Profile Optimization of Field-Deployed WDM Network by Remote Link Modeling
Semantic World Models
Natural Language Processing in-and-for Design Research
The Effects of Air Quality on the Spread of the COVID-19. An Artificial Intelligence Approach
On projective Landweber-Kaczmarz methods for solving systems of nonlinear ill-posed equations
Fixed-sparsity matrix approximation from matrix-vector products
From Static Structures to Ensembles: Studying and Harnessing Protein Structure Tokenization
A Traveling Salesman Learns Bayesian Networks
Proof-of-randomness protocol for blockchain consensus: the white paper version 1.0
The Comparability of Model Fusion to Measured Data in Confuser Rejection
A Theory Building Study of Enterprise Architecture Practices and Benefits
An Economy of Neural Networks: Learning from Heterogeneous Experiences
Animated 3D Human Models for Use in Person Recognition Experiments
Modeling Hybrid Systems in the Concurrent Constraint Paradigm
A Survey of Online Card Payment Fraud Detection using Data Mining-based Methods
Deep Learning-Based Transfer Learning for Classification of Cassava Disease
Ensemble long short-term memory (EnLSTM) network
Autonomous Satellite Detection and Tracking using Optical Flow
Performance Evaluation of Mesh based Multicast Reactive Routing Protocol under Black Hole Attack
Design of Intelligent Agents Based System for Commodity Market Simulation with JADE
Soteria: Language-Specific Functional Parameter Steering for Multilingual Safety Alignment
MRI Pulse Sequence Integration for Deep-Learning Based Brain Metastasis Segmentation
Towards Robust and Generalizable Lensless Imaging with Modular Learned Reconstruction
Data-driven Mutation Analysis for Cyber-Physical Systems
Robust Equilibria in Shared Resource Allocation via Strengthening Border's Theorem
Learning to smell for wellness
Quantum memory error correction computation based on Chamon model
Towards Dynamic 3D Reconstruction of Hand-Instrument Interaction in Ophthalmic Surgery
What can Discriminator do? Towards Box-free Ownership Verification of Generative Adversarial Network
Rethinking the confidential cloud through a unified low-level abstraction for composable isolation
Explicit Constructions of Sum-Rank Metric Codes from Quadratic Kummer Extensions
Afro-MNIST: Synthetic generation of MNIST-style datasets for low-resource languages
FloodSQL-Bench: A Retrieval-Augmented Benchmark for Geospatially-Grounded Text-to-SQL
Code Arcades: 3d Visualization of Classes, Dependencies and Software Metrics
Challenges: Bridge between Cloud and IoT
Overcoming slowly decaying Kolmogorov n-width by transport maps: application to model order reduction of fluid dynamics and fluid-structure interaction problems
On fixed point theory in partially ordered sets and an application to asymptotic complexity of algorithms
A Short Note on Improved Logic Circuits in a Hexagonal Minesweeper
Direct Construction of Optimal Z-Complementary Code Sets for all Possible Even Length by Using Pseudo-Boolean Functions
A Simple Detection and Identification Scheme For Reconfigurable Intelligent Surfaces
Deep Learning in Photoacoustic Tomography: Current approaches and future directions
On Mitigating the Uncertainty in Renewable Generation in Distribution Microgrids
SimCMF: A Simple Cross-modal Fine-tuning Strategy from Vision Foundation Models to Any Imaging Modality
Hybrid Schwarz preconditioners for linear systems arising from hp-discontinuous Galerkin method
Empirical observations on the effects of data transformation in machine learning classification of geological domains
Ranking via Arrow-Debreu Equilibrium
Infer-AVAE: An Attribute Inference Model Based on Adversarial Variational Autoencoder
Parkinson's disease patient rehabilitation using gaming platforms: lessons learnt
Basal-Bolus Advisor for Type 1 Diabetes (T1D) Patients Using Multi-Agent Reinforcement Learning (RL) Methodology
Application of Volterra Equations to Solve Unit Commitment Problem of Optimised Energy Storage and Generation
RhinoInsight: Improving Deep Research through Control Mechanisms for Model Behavior and Context
Parameter Blending for Multi-Camera Harmonization for Automotive Surround View Systems
Harnessing Causality in Reinforcement Learning With Bagged Decision Times
Personas within Parameters: Fine-Tuning Small Language Models with Low-Rank Adapters to Mimic User Behaviors
AnDB: Breaking Boundaries with an AI-Native Database for Universal Semantic Analysis
Optimal Control of Multiclass Fluid Queueing Networks: A Machine Learning Approach
Classification of Alzheimer's Disease Using the Convolutional Neural Network (CNN) with Transfer Learning and Weighted Loss
A Discontinuous Galerkin method for three-dimensional poroelastic wave propagation: forward and adjoint problems
Tight Information Theoretic Converse Results for some Pliable Index Coding Problems
On Optimal Message Assignments for Interference Channels with CoMP Transmission
Optimality of Spectral Algorithms for Community Detection in the Labeled Stochastic Block Model
Why Districting Becomes NP-hard
Meta Attentive Graph Convolutional Recurrent Network for Traffic Forecasting
Multi-structure Objects Points-to Analysis
A Novel Receiver Design with Joint Coherent and Non-Coherent Processing
Network Embedding Analysis for Anti-Money Laundering Detection
Enabling human-centered AI: A new junction and shared journey
Programs as the Language of Science
Nonconvex Regularization Based Sparse and Low-Rank Recovery in Signal Processing, Statistics, and Machine Learning
Voice Conversion-based Privacy through Adversarial Information Hiding
Domain-adaptive Message Passing Graph Neural Network
A novel metaheuristic method for solving constrained engineering optimization problems: Drone Squadron Optimization
RMT-KD: Random Matrix Theoretic Causal Knowledge Distillation
A-TPT: Angular Diversity Calibration Properties for Test-Time Prompt Tuning of Vision-Language Models
Multi-Step Embed to Control: A Novel Deep Learning-based Approach for Surrogate Modelling in Reservoir Simulation
Two-Stage ML-Guided Decision Rules for Sequential Decision Making under Uncertainty
The Future of Large Language Model Pre-training is Federated
Consensus Networks over Finite Fields
Pix2Streams: Dynamic Hydrology Maps from Satellite-LiDAR Fusion
Supersimulators
Large Language Model-Based Framework for Explainable Cyberattack Detection in Automatic Generation Control Systems
Surprise in Elections
Matrix diagonalization and singular value decomposition: Static SageMath and dynamic ChatGPT juxtaposed
Surrogate Optimization of Deep Neural Networks for Groundwater Predictions
Mass Storage Management and the Grid
Attribution Patching Outperforms Automated Circuit Discovery
LEoPart: a particle library for FEniCS
Naver at ActivityNet Challenge 2019 - Task B Active Speaker Detection (AVA)
Fractional Calculus In Image Processing: A Review
Disaggregating Embedding Recommendation Systems with FlexEMR
Superresolution without Separation
Hyperparameter Loss Surfaces Are Simple Near their Optima
Monte Carlo Tree Search guided by Symbolic Advice for MDPs
Graph2Graph Learning with Conditional Autoregressive Models
Evaluating the Effectiveness of Black-Box Prompt Optimization as the Scale of LLMs Continues to Grow
A Probabilistic Approach to Risk Mapping for Mt. Etna
CCNETS: A Novel Brain-Inspired Approach for Enhanced Pattern Recognition in Imbalanced Datasets
Beyond a Single Perspective: Towards a Realistic Evaluation of Website Fingerprinting Attacks
Local-Global Self-Supervised Visual Representation Learning
PAL: A fast DNN optimization method based on curvature information
EnCore: Pre-Training Entity Encoders using Coreference Chains
VRoPE: Rotary Position Embedding for Video Large Language Models
Relaxed Scheduling for Scalable Belief Propagation
Indifference-Zone Relaxation Procedures for Finding Feasible Systems
Make Your MoVe: Make Your 3D Contents by Adapting Multi-View Diffusion Models to External Editing
Semi-centralized control for multi-robot formation and theoretical lower bound
An outer totalistic weakly universal cellular automaton in the dodecagrid with four states
AI-Based Framework for Understanding Car Following Behaviors of Drivers in A Naturalistic Driving Environment
Comparing methods for Twitter Sentiment Analysis
Pathologists light level preferences using the microscope - a study to guide digital pathology display use