yusuke1997/dblp-id-title huggingface dataset:
What if Eye...? Computationally Recreating Vision Evolution
Machine-Learning-Based Multiple Abnormality Prediction with Large-Scale Chest Computed Tomography Volumes
On the controllability of the Navier-Stokes equation in a rectangle, with a little help of a distributed phantom force
Trends and Techniques in Visual Gaze Analysis
Generalizing Redundancy in Propositional Logic: Foundations and Hitting Sets Duality
Systematic Analysis and Comparison of Security Advice Datasets
Privacy-Aware Crowd Labelling for Machine Learning Tasks
Investigating the locality of neural network training dynamics
Indoor Airflow Imaging Using Physics-Informed Background-Oriented Schlieren Tomography
Sentiment Uncertainty and Spam in Twitter Streams and Its Implications for General Purpose Realtime Sentiment Analysis
Higher Strong Order Methods for Itô SDEs on Matrix Lie Groups
Alignment and Outer Shell Isotropy for Hyperbolic Graph Contrastive Learning
Wearable Sensor-based Multimodal Physiological Responses of Socially Anxious Individuals across Social Contexts
A simulation method for the wetting dynamics of liquid droplets on deformable membranes
An Efficient Construction Method Based on Partial Distance of Polar Codes with Reed-Solomon Kernel
Domains and Classifying Topoi
Spatial-Temporal Block and LSTM Network for Pedestrian Trajectories Prediction
Heuristic Based Induction of Answer Set Programs: From Default theories to combinatorial problems
Using artificial intelligence for data reduction in mechanical engineering
Start Small: Training Game Level Generators from Nothing by Learning at Multiple Sizes
Predictive modelling of football injuries
J-Viz: Sibling-First Recursive Graph Drawing for Visualizing Java Bytecode
Multi-objective optimization for multi-agent injection strategies in subsurface CO 2 storage
Design of Flexible Meander Line Antenna for Healthcare for Wireless Medical Body Area Networks
On Parameterized One-Counter Automata
Knots: A Large-Scale Multi-Agent Enhanced Expert-Annotated Dataset and LLM Prompt Optimization for NOTAM Semantic Parsing
Artificial Intelligence and its Role in Near Future
Robust and Efficient Transfer Learning with Hidden-Parameter Markov Decision Processes
Constrained Structured Regression with Convolutional Neural Networks
Data-driven Perception of Neuron Point Process with Unknown Unknowns
Convolutional Monge Mapping between EEG Datasets to Support Independent Component Labeling
Retrieval-Enhanced Mutation Mastery: Augmenting Zero-Shot Prediction of Protein Language Model
End-to-End Neural Speaker Diarization with Self-attention
A Hierarchical Framework with Spatio-Temporal Consistency Learning for Emergence Detection in Complex Adaptive Systems
Low Complexity Blind Equalization for OFDM Systems with General Constellations
Nonlinear regression based on a hybrid quantum computer
Triadic Consensus: A Randomized Algorithm for Voting in a Crowd
Knowledge-Reuse Transfer Learning Methods in Molecular and Material Science
Building Representative Corpora from Illiterate Communities: A Review of Challenges and Mitigation Strategies for Developing Countries
Expressive Temporal Specifications for Reward Monitoring
Autonomous Navigation by Robust Scan Matching Technique
A Unified Analysis Approach for LMS-based Variable Step-Size Algorithms
Entangled q-Convolutional Neural Nets
The Ramon Llull's Thinking Machine for Automated Ideation
The IOA System for Deep Noise Suppression Challenge using a Framework Combining Dynamic Attention and Recursive Learning
Adversarial Attacks on Variational Autoencoders
On the Hardness of Entropy Minimization and Related Problems
Phylogenetic estimation with partial likelihood tensors
TeSSLa: Temporal Stream-based Specification Language
Newton-Krylov Methods for Computing Steady States of Particle Timesteppers via Optimal Transport
Pignistic Probability Transforms for Mixes of Low- and High-Probability Events
Epistemic Temporal Logic for Information Flow Security
Risk-Aware and Energy-Efficient AoI Optimization for Multi-Connectivity WNCS with Short Packet Transmissions
Mixing Time Guarantees for Unadjusted Hamiltonian Monte Carlo
Neural Radiance Field-based Visual Rendering: A Comprehensive Review
Learning Robust Named Entity Recognizers From Noisy Data With Retrieval Augmentation
Counting the geodesic cycles of a given length
Understanding Social Context from Smartphone Sensing: Generalization Across Countries and Daily Life Moments
When are two algorithms the same? Towards addressing Hilbert's 24th problem
Sampling Error Analysis and Properties of Non-bandlimited Signals That Are Reconstructed by Generalized Sinc Functions
Automating the Proofs of Strengthening Lemmas in the Abella Proof Assistant
Token-passing Optimal Reduction with Embedded Read-back
Distributed State Estimation with Deep Neural Networks for Uncertain Nonlinear Systems under Event-Triggered Communication
MANDERA: Malicious Node Detection in Federated Learning via Ranking
Proof-of-Concept Examples of Performance-Transparent Programming Models
Multi-modal Brain Tumor Segmentation via Missing Modality Synthesis and Modality-level Attention Fusion
Inject Machine Learning into Significance Test for Misspecified Linear Models
Perspective-consistent multifocus multiview 3D reconstruction of small objects
LSPI: Heterogeneous Graph Neural Network Classification Aggregation Algorithm Based on Size Neighbor Path Identification
Bug Fix Time Optimization Using Matrix Factorization and Iterative Gale-Shaply Algorithms
Wireless Powered Communication Networks with Non-Ideal Circuit Power Consumption
Assessment of the application of the Universal Competencies
Perch like a bird: bio-inspired optimal maneuvers and nonlinear control for Flapping-Wing Unmanned Aerial Vehicles
A linear time algorithm to compute the impact of all the articulation points
A Comparison of Structural and Behavioral Community Detection Algorithms
Joint Evaluation of Answer and Reasoning Consistency for Hallucination Detection in Large Reasoning Models
Generalizability Under Sensor Failure: Tokenization + Transformers Enable More Robust Latent Spaces
MoralDial: A Framework to Train and Evaluate Moral Dialogue Systems via Constructing Moral Discussions
Making Sense of the Robotized Pandemic Response: A Comparison of Global and Canadian Robot Deployments and Success Factors
Customize Your Visual Autoregressive Recipe with Set Autoregressive Modeling
Project CGX: Scalable Deep Learning on Commodity GPUs
MoveScanner: Analysis of Security Risks of Move Smart Contracts
Variational projector-augmented wave method: a full-potential approach for electronic structure calculations in solid-state physics
On Making Encrypted Web Traffic Resistant to Timing-Analysis Attacks
Tight Bounds for Potential Maximal Cliques Parameterized by Vertex Cover
A simple linear space algorithm for computing a longest common increasing subsequence
Deep Octonion Networks
End-to-end Adversarial Learning for Generative Conversational Agents
Toward Socially Aware Vision-Language Models: Evaluating Cultural Competence Through Multimodal Story Generation
DART 3 : Leveraging Distance for Test Time Adaptation in Person Re-Identification
A Novel Iterative Convex Approximation Method
Fourier Feature Attribution: A New Efficiency Attribution Method
Domain Generalization for Zero-calibration BCIs with Knowledge Distillation-based Phase Invariant Feature Extraction
AVAC: A Machine Learning based Adaptive RRAM Variability-Aware Controller for Edge Devices
Numeracy from Literacy: Data Science as an Emergent Skill from Large Language Models
Gender and Ethnicity Classification of Iris Images using Deep Class-Encoder
Population-Evolve: a Parallel Sampling and Evolutionary Method for LLM Math Reasoning
A Hierarchy of Graph Neural Networks Based on Learnable Local Features
A Time-Inhomogeneous Markov Model for Resource Availability under Sparse Observations
LBVCNN: Local Binary Volume Convolutional Neural Network for Facial Expression Recognition from Image Sequences
Trends and Advancements in Deep Neural Network Communication
Quasi-Monte Carlo for Efficient Fourier Pricing of Multi-Asset Options
Mutual Enhancement of Large Language and Reinforcement Learning Models through Bi-Directional Feedback Mechanisms: A Case Study
Visual Transfer between Atari Games using Competitive Reinforcement Learning
On the Composition of Scientific Abstracts
Improving Adversarial Robustness in Weight-quantized Neural Networks
Who Responded to Whom: The Joint Effects of Latent Topics and Discourse in Conversation Structure
Zero-shot Shark Tracking and Biometrics from Aerial Imagery
On the Average-case Complexity of Pattern Matching with Wildcards
Survey and comparison for Open and closed sources in cloud computing
(Modular) Effect Algebras are Equivalent to (Frobenius) Antispecial Algebras
An Analytical Expression for the Effective Area of the Step-Index Single-Mode Optical Fiber
A Generalised Construction of Multiple Complete Complementary Codes and Asymptotically Optimal Aperiodic Quasi-Complementary Sequence Sets
ACMID: Automatic Curation of Musical Instrument Dataset for 7-Stem Music Source Separation
Machine Learning for Quantum Noise Reduction
Beyond SDLC: Process Modeling and Documentation Using Thinging Machines
Predicting Customer Call Intent by Analyzing Phone Call Transcripts based on CNN for Multi-Class Classification
A flexible spiraling-metasurface as a versatile haptic interface
Fundamental Visual Navigation Algorithms: Indirect Sequential, Biased Diffusive, & Direct Pathing
Evaluating and Crafting Datasets Effective for Deep Learning With Data Maps
Ordering Dimensions with Nested Dropout Normalizing Flows
Performance Evaluation of Multi-Armed Bandit Algorithms for Wi-Fi Channel Access
Activation Subspaces for Out-of-Distribution Detection
Enhancing Kernel Flexibility via Learning Asymmetric Locally-Adaptive Kernels
Multi-Stage Knowledge Integration of Vision-Language Models for Continual Learning
Analyzing Social Interaction Networks from Twitter for Planned Special Events
Sandboxing for Software Transactional Memory with Deferred Updates
Adaptive output feedback tracking control for bilinear systems
Visualizing the Local Atomic Environment Features of Machine Learning Interatomic Potential
Analyzing Communication Predictability in LLM Training
Online Scheduling to Minimize the Maximum Delay Factor
Sequential Predictions based on Algorithmic Complexity
Multi-domain improves out-of-distribution and data-limited scenarios for medical image analysis
Novel Low-Complexity Model Development for Li-ion Cells Using Online Impedance Measurement
Behaviour Policy Estimation in Off-Policy Policy Evaluation: Calibration Matters
Modelling Global Trade with Optimal Transport
Improving Language Generation with Sentence Coherence Objective
Privacy-preserving data release leveraging optimal transport and particle gradient descent
Classification of Alzheimers Disease with Deep Learning on Eye-tracking Data
Confidence estimation in Deep Neural networks via density modelling
Fortran2CPP: Automating Fortran-to-C++ Migration using LLMs via Multi-Turn Dialogue and Dual-Agent Integration
Sparse Spectrahedral Shadows for State Estimation and Reachability Analysis: Set Operations, Validations and Order Reductions
Zero-Training Temporal Drift Detection for Transformer Sentiment Models: A Comprehensive Analysis on Authentic Social Media Streams
Binary Mechanisms under Privacy-Preserving Noise
How Much are LLMs Contaminated? A Comprehensive Survey and the LLMSanitize Library
Time-modulated circuits and metasurfaces for emulating arbitrary transfer functions
Breaking the Flow and the Bank: Stealthy Cyberattacks on Water Network Hydraulics
Online Best Reply Algorithms for Resource Allocation Problems
Hydra-LSTM: A semi-shared Machine Learning architecture for prediction across Watersheds
Improving unsupervised anomaly localization by applying multi-scale memories to autoencoders
Runtime Composition in Dynamic System of Systems: A Systematic Review of Challenges, Solutions, Tools, and Evaluation Methods
Automatic Ply Partitioning for Laminar Composite Process Planning
A Learning-based Distributed Algorithm for Scheduling in Multi-hop Wireless Networks
Camera Calibration for Daylight Specular-Point Locus
Hierarchical Strategic Decision-Making in Layered Mobility Systems
Learning-Based Approaches for Job Shop Scheduling Problems: A Review
Neural Network Models of Becoming a Cardinal Principle Knower
Computation of the maximal invariant set of discrete-time systems subject to quasi-smooth non-convex constraints
GraphEdit: Large Language Models for Graph Structure Learning
Distributed Deterministic Broadcasting in Wireless Networks under the SINR Model
A Connected Enterprise - Transformation through Mobility and Social Networks
Meta-multigraph Search: Rethinking Meta-structure on Heterogeneous Information Networks
Stability analysis of Runge-Kutta methods for nonlinear Volterra delay-integro-differential-algebraic equations
A marker-less human motion analysis system for motion-based biomarker discovery in knee disorders
Optimizing Multi-Domain Performance with Active Learning-based Improvement Strategies
On the decidability of $k$-Block determinism
Recommendation under Capacity Constraints
What's the Opposite of a Face? Finding Shared Decodable Concepts and their Negations in the Brain
Under the Cover Infant Pose Estimation using Multimodal Data
New Interleaving Constructions of Asymptotically Optimal Periodic Quasi-Complementary Sequence Sets
Learning to Simplify Spatial-Temporal Graphs in Gait Analysis
Grokya: a Privacy-Friendly Framework for Ubiquitous Computing
Adoption of AI-Driven Fraud Detection System in the Nigerian Banking Sector: An Analysis of Cost, Compliance, and Competency
On Parametric Amplification In Discrete Josephson Transmission Line
NSF Integrated Circuit Research, Education and Workforce Development Workshop Final Report
Combining GPT and Code-Based Similarity Checking for Effective Smart Contract Vulnerability Detection
Sycophancy to Subterfuge: Investigating Reward-Tampering in Large Language Models
Certifiably Optimal Mutual Localization with Anonymous Bearing Measurements
AcroFOD: An Adaptive Method for Cross-domain Few-shot Object Detection
Aiding reinforcement learning for set point control
Well Structured Transition Systems with History
Global Optimization via Softmin Energy Minimization
An Open Patch Generator based Fingerprint Presentation Attack Detection using Generative Adversarial Network
Encoding NetFlows for State-Machine Learning
Machinic Surrogates: Human-Machine Relationships in Computational Creativity
Real-time on-device nod and shake recognition
Reverse Engineering Imperceptible Backdoor Attacks on Deep Neural Networks for Detection and Training Set Cleansing
An Investigation on How AI-Generated Responses Affect SoftwareEngineering Surveys
Open-Vocabulary Object Detection in UAV Imagery: A Review and Future Perspectives
The Grandparent Scam: A Systems Perspective Case Study On Elder Fraud And The Concept Of Human Layering
Conversational Crowdsensing: A Parallel Intelligence Powered Novel Sensing Approach
P/D-Serve: Serving Disaggregated Large Language Model at Scale
Grid Technologies
The importance of visual modelling languages in generative software engineering
Spherical configurations and quadrature methods for integral equations of the second kind
Frequency Response Characteristic (FRC) Curve and Fast Frequency Response Assessment in High Renewable Power Systems
An Accurate Analytical Approach for the Parameterization of the Single Diode Model of Photovoltaic Cell
Mining the manifolds of deep generative models for multiple data-consistent solutions of ill-posed tomographic imaging problems
Energy Efficiency in Multi-Hop CDMA Networks: a Game Theoretic Analysis Considering Operating Costs
Machine Learning Training Optimization using the Barycentric Correction Procedure
Enhancing Object Discovery for Unsupervised Instance Segmentation and Object Detection
On Leader Green Election
Plotkin construction: rank and kernel
(ω 1 , ω 2 )-Temporal random hyperbolic graphs
A Meta-Reinforcement Learning Approach to Process Control
Object-aware Aggregation with Bidirectional Temporal Graph for Video Captioning
Differentiable Lagrangian Shock Hydrodynamics with Application to Stable Shock Acceleration of Density Interfaces
AdaptJobRec: Enhancing Conversational Career Recommendation through an LLM-Powered Agentic System
Prompt-Guided Spatial Understanding with RGB-D Transformers for Fine-Grained Object Relation Reasoning
Information Integration using the Typed Graph Model
SelfGait: A Spatiotemporal Representation Learning Method for Self-supervised Gait Recognition
Visual Transformer for Object Detection
A Nanostructual Microwave Probe Used for Atomic Force Microscope
Model-based analysis support for dependable complex systems in CHESS
Implementing G-Machine in HyperLMNtal
Solving Homotopy Domain Equations
Bilinear Input Normalization for Neural Networks in Financial Forecasting
The Efficiency of the ANS Entropy Encoding
Diffusion Model is a Good Pose Estimator from 3D RF-Vision
On Two Conservative HDG Schemes for Nonlinear Klein-Gordon Equation
Learning Adversarial Semantic Embeddings for Zero-Shot Recognition in Open Worlds
α-leakage Interpretation of Rényi Capacity
Uncertainty-based quality assurance of carotid artery wall segmentation in black-blood MRI
Optimizing Path ORAM for Cloud Storage Applications
Very-low-field MRI scanners: from the ideal to the real permanent magnet array
Scalable Multi-Task Gaussian Processes with Neural Embedding of Coregionalization
An Effective Approach for Node Classification in Textual Graphs
Unveiling Hidden Pivotal Players with GoalNet: A GNN-Based Soccer Player Evaluation System
Unmanned Aerial Vehicle Instrumentation for Rapid Aerial Photo System
Non-recurrent Traffic Congestion Detection with a Coupled Scalable Bayesian Robust Tensor Factorization Model
A concise introduction to Koopman operator theory and the Extended Dynamic Mode Decomposition
Hierarchical Entropy Disruption for Ransomware Detection: A Computationally-Driven Framework
Half-Gain Tuning for Active Disturbance Rejection Control
TINC: Temporally Informed Non-Contrastive Learning for Disease Progression Modeling in Retinal OCT Volumes
FORGE: Foundational Optimization Representations from Graph Embeddings
Primal-Dual Block Frank-Wolfe
Space-Efficient Routing Tables for Almost All Networks and the Incompressibility Method
The 2nd FutureDial Challenge: Dialog Systems with Retrieval Augmented Generation (FutureDial-RAG)
Optimization of Scheduling in Wireless Ad-Hoc Networks Using Matrix Games
Unadjusted Hamiltonian MCMC with Stratified Monte Carlo Time Integration
Heterogeneous Strong Computation Migration
Scarf's algorithm and stable marriages
DIAGen: Diverse Image Augmentation with Generative Models
Correcting sampling biases via importance reweighting for spatial modeling
Simpli-Squared: A Very Simple Yet Unexpectedly Powerful Join Ordering Algorithm Without Cardinality Estimates
Decentralized Verifiable Mail-in Ballot Counting for Postal Voting
Dense Air Pollution Estimation from Sparse in-situ Measurements and Satellite Data
Communication Optimization Strategies for Distributed Deep Learning: A Survey
DReAM: Dynamic Reconfigurable Architecture Modeling (full paper)
Optimization with Gradient-Boosted Trees and Risk Control
AMEND: A Mixture of Experts Framework for Long-tailed Trajectory Prediction
Multi-person eye tracking for real-world scene perception in social settings
A column-generation-based matheuristic for periodic train timetabling with integrated passenger routing
Probabilistically Safe Control of Noisy Dubins Vehicles
Lightweight Intrusion Detection System Using a Hybrid CNN and ConvNeXt-Tiny Model for Internet of Things Networks
Real-time Lane Marker Detection Using Template Matching with RGB-D Camera
FuzzEval: Assessing Fuzzers on Generating Context-Sensitive Inputs
Leveraging Diffusion Disentangled Representations to Mitigate Shortcuts in Underspecified Visual Tasks
Audio-Linguistic Embeddings for Spoken Sentences
Generalizable Prompt Learning of CLIP: A Brief Overview
Measuring the intelligence of an idealized mechanical knowing agent
A General, Tractable and Accurate Model for a Cascade of Caches
Circuit simulation using explicit methods
Near-Optimal Bounds for Binary Embeddings of Arbitrary Sets
Forecasting Fails: Unveiling Evasion Attacks in Weather Prediction Models
Joint Beamforming and Scheduling for SDMA Systems with Limited Feedback
Large-Scale Cloud Radio Access Networks with Practical Constraints: Asymptotic Analysis and Its Implications
Resource-aware scheduling of multiple quantum circuits on a hardware device
INTERPRETER - Tool for non-technical losses detection
Automated Peer-to-peer Negotiation for Energy Contract Settlements in Residential Cooperatives
FlexClock: Generic Clock Reconfiguration for Low-end IoT Devices
Finite element computation of elliptical vocal tract impedances using the two-microphone transfer function method
Vocoder-Free Non-Parallel Conversion of Whispered Speech With Masked Cycle-Consistent Generative Adversarial Networks
LLM-Augmented Retrieval: Enhancing Retrieval Models Through Language Models and Doc-Level Embedding
Mathematical foundations of adaptive isogeometric analysis
Influence of Technical and Social Factors for Introducing Bugs
Local Normalization Distortion and the Thermodynamic Formalism of Decoding Strategies for Large Language Models
Contrastive Learning for OOD in Object detection
Closed-loop Performance Optimization of Model Predictive Control with Robustness Guarantees
Double Counting in $2^t$-ary RSA Precomputation Reveals the Secret Exponent
Speech enhancement with frequency domain auto-regressive modeling
Decoding Emotion: Speech Perception Patterns in Individuals with Self-reported Depression
Custom Data Augmentation for low resource ASR using Bark and Retrieval-Based Voice Conversion
Spacecraft Attitude Stabilization with Piecewise-constant Magnetic Dipole Moment
Structured Production Systems: Viability
Rotatable Antenna Aided Mixed Near-Field and Far-Field Communications in the Upper Mid-Band: Interference Analysis and Joint Optimization
Discrete symbolic optimization and Boltzmann sampling by continuous neural dynamics: Gradient Symbolic Computation
Machine Learning-Based Basil Yield Prediction in IoT-Enabled Indoor Vertical Hydroponic Farms
Security Assessment of E-Tax Filing Websites
Provocation: Who benefits from "inclusion" in Generative AI?
Pinpoint Influential Posts and Authors
brTPF: Bindings-Restricted Triple Pattern Fragments (Extended Preprint)
Group-Strategyproof mechanisms for facility location with Euclidean distance
Stein Latent Optimization for GANs
How Private Is Your Voting? A Framework for Comparing the Privacy of Voting Mechanisms
Classic machine learning methods
Integrated Sensing, Communication, and Over-The-Air Control of UAV Swarm Dynamics
Krul: Efficient State Restoration for Multi-turn Conversations with Dynamic Cross-layer KV Sharing
Contextual BERT: Conditioning the Language Model Using a Global State
Bayesian inference for geophysical fluid dynamics using generative models
AnimateAnywhere: Rouse the Background in Human Image Animation
Consistency of augmentation graph and network approximability in contrastive learning
New Ideas for Brain Modelling 6
Mosquito detection with low-cost smartphones: data acquisition for malaria research
RIS-assisted Coverage Enhancement in mmWave Integrated Sensing and Communication Networks
Are resultant methods numerically unstable for multidimensional rootfinding?
Robust Claim Verification Through Fact Detection
Hybrid Generative-Retrieval Transformers for Dialogue Domain Adaptation
Recognizing 2-Layer and Outer k -Planar Graphs
Bi-class classification of humpback whale sound units against complex background noise with Deep Convolution Neural Network
Compositional properties of emergent languages in deep learning
Classifier Calibration: How to assess and improve predicted class probabilities: a survey
High-Bandwidth Spatial Equalization for mmWave Massive MU-MIMO with Processing-In-Memory
An Oracle with no UP-Complete Sets, but NP=PSPACE
Image Authentication Based on Neural Networks
Lattice Representation Learning