yusuke1997/dblp-id-title huggingface dataset:
Learning-based Multi-continuum Model for Multiscale Flow Problems
Using Virtual Reality for Detection and Intervention of Depression - A Systematic Literature Review
Exact Algorithms for Distance to Unique Vertex Cover
The Internet's unexploited path diversity
MOMA: Distill from Self-Supervised Teachers
Learning to Noise: Application-Agnostic Data Sharing with Local Differential Privacy
Expressiveness modulo Bisimilarity of Regular Expressions with Parallel Composition (Extended Abstract)
Training LLMs on HPC Systems: Best Practices from the OpenGPT-X Project
Why not both? Complementing explanations with uncertainty, and the role of self-confidence in Human-AI collaboration
A Comprehensive Survey of Challenges and Opportunities of Few-Shot Learning Across Multiple Domains
REConnect: Participatory RE that Matters
Near-Optimal Sparse Allreduce for Distributed Deep Learning
Video Semantic Segmentation with Inter-Frame Feature Fusion and Inner-Frame Feature Refinement
Semi-Supervised Treatment Effect Estimation with Unlabeled Covariates via Generalized Riesz Regression
Few-Shot Website Fingerprinting Attack
Memetic Differential Evolution Methods for Semi-Supervised Clustering
Ultimate Boundedness for Switched Systems with Multiple Equilibria Under Disturbances
Towards Mitigating Hallucinations in Large Vision-Language Models by Refining Textual Embeddings
Non-Negative Matrix Factorization with Scale Data Structure Preservation
MoA: Mixture of Sparse Attention for Automatic Large Language Model Compression
Adaptive Quorum-based Channel-hopping Distributed Coordination Scheme for Cognitive Radio Networks
Classification of Fracture and Normal Shoulder Bone X-Ray Images Using Ensemble and Transfer Learning With Deep Learning Models Based on Convolutional Neural Networks
Compactly generating all satisfying truth assignments of a Horn formula
PSG@HASOC-Dravidian CodeMixFIRE2021: Pretrained Transformers for Offensive Language Identification in Tanglish
SAHM: State-Aware Heterogeneous Multicore for Single-Thread Performance
Majorana Demonstrator Data Release for AI/ML Applications
Estimating Aggregate Properties on Probabilistic Streams
Barriers for recent methods in geodesic optimization
Benchmarking Robustness of AI-enabled Multi-sensor Fusion Systems: Challenges and Opportunities
Switched Control Applied to a Totem-Pole Bridgeless Rectifier for Power Factor Correction
Answering UCQs under updates and in the presence of integrity constraints
Neural Architecture Search From Fréchet Task Distance
PDE-Based Optimization for Advection Diffusion Equation in 2D Domain
Laplace-Beltrami Operator for Gaussian Splatting
Semantic2D: A Semantic Dataset for 2D Lidar Semantic Segmentation
Topological Hierarchical Decompositions
Adversarial Reinforcement Learning for Observer Design in Autonomous Systems under Cyber Attacks
METRIK: Measurement-Efficient Randomized Controlled Trials using Transformers with Input Masking
Survival at Any Cost? LLMs and the Choice Between Self-Preservation and Human Harm
On the Capacity Equivalence with Side Information at Transmitter and Receiver
Tracking the untracked
Stronger Cryptography For Every Device, Everywhere
TaylorAECNet: A Taylor Style Neural Network for Full-Band Echo Cancellation
Graph-based Simultaneous Coverage and Exploration Planning for Fast Multi-robot Search
Plug & Offload: Transparently Offloading TCP Stack onto Off-path SmartNIC with PnO-TCP
Substitutive structure of Jeandel-Rao aperiodic tilings
Deep-VFX: Deep Action Recognition Driven VFX for Short Video
Autonomous Navigation in Confined Waters - A COLREGs Rule 9 Compliant Framework
Colonoscopy Polyp Detection: Domain Adaptation From Medical Report Images to Real-time Videos
Metadata Extraction from Raw Astroparticle Data of TAIGA Experiment
Edge AI: Evaluation of Model Compression Techniques for Convolutional Neural Networks
Inverses, Conditionals and Compositional Operators in Separative Valuation Algebra
A Stochastic-Computing based Deep Learning Framework using Adiabatic Quantum-Flux-Parametron SuperconductingTechnology
Learning Instance-Level Representation for Large-Scale Multi-Modal Pretraining in E-commerce
Wait for me! Towards socially assistive walk companions
minPIC: Towards Optimal Power Allocation in Multi-User Interference Channels
Comparative Evaluation of Traditional and Deep Learning Feature Matching Algorithms using Chandrayaan-2 Lunar Data
RoboOcc: Enhancing the Geometric and Semantic Scene Understanding for Robots
Asymptotically good ramp secret sharing schemes
PokAR: Facilitating Poker Play Through Augmented Reality
deepsing: Generating Sentiment-aware Visual Stories using Cross-modal Music Translation
Global law of conjugate kernel random matrices with heavy-tailed weights
GPU Multisplit
Disentangled Generative Causal Representation Learning
Behind the Deepfake: 8% Create; 90% Concerned. Surveying public exposure to and perceptions of deepfakes in the UK
Never Explore Repeatedly in Multi-Agent Reinforcement Learning
Mechanizing Set Theory: Cardinal Arithmetic and the Axiom of Choice
RITA: Automatic Framework for Designing of Resilient IoT Applications
SceneComplete: Open-World 3D Scene Completion in Complex Real World Environments for Robot Manipulation
Activists Want Better, Safer Technology
LLMPhy: Complex Physical Reasoning Using Large Language Models and World Models
Estimator of Prediction Error Based on Approximate Message Passing for Penalized Linear Regression
Deterministic Bounds for Restricted Isometry of Compressed Sensing Matrices
Multiscale constitutive framework of 1D blood flow modeling: Asymptotic limits and numerical methods
Successive Interference Cancellation for Optical Fiber Using Discrete Constellations
Enhancing Explainability of Graph Neural Networks Through Conceptual and Structural Analyses and Their Extensions
Two step recovery of jointly sparse and low-rank matrices: theoretical guarantees
PersDet: Monocular 3D Detection in Perspective Bird's-Eye-View
Efficient Low-Sensitivity Sampling of Multiband Signals with Bounded Components
A unified Bayesian inversion approach for a class of tumor growth models with different pressure laws
Efficient Local Planning with Linear Function Approximation
FL-QDSNNs: Federated Learning with Quantum Dynamic Spiking Neural Networks
RacketVision: A Multiple Racket Sports Benchmark for Unified Ball and Racket Analysis
Privacy in Distributed Computations based on Real Number Secret Sharing
Why 2 times 2 ain't necessarily 4 - at least not in IT security risk assessment
Identifying Flaky Tests in Quantum Code: A Machine Learning Approach
Functional programming with lambda-tree syntax
Linearity and Complements in Projective Space
Exploring the Landscape of Large Language Models In Medical Question Answering: Observations and Open Questions
KIT's Low-resource Speech Translation Systems for IWSLT2025: System Enhancement with Synthetic Data and Model Regularization
Proactive Agentic Whiteboards: Enhancing Diagrammatic Learning
A New Machine Learning Dataset of Bulldog Nostril Images for Stenosis Degree Classification
Networked Multiagent Safe Reinforcement Learning for Low-carbon Demand Management in Distribution Network
A Unified Quantum Algorithm Framework for Estimating Properties of Discrete Probability Distributions
Understanding and Mitigating the Tradeoff Between Robustness and Accuracy
Bijective Mapping Analysis to Extend the Theory of Functional Connections to Non-rectangular 2-dimensional Domains
Machine Learning in Access Control: A Taxonomy and Survey
SeqRisk: Transformer-augmented latent variable model for improved survival prediction with longitudinal data
Hybrid Modeling, Sim-to-Real Reinforcement Learning, and Large Language Model Driven Control for Digital Twins
Adaptive Prior Selection for Repertoire-based Online Learning in Robotics
Feed-Forward On-Edge Fine-tuning Using Static Synthetic Gradient Modules
Replication in Visual Diffusion Models: A Survey and Outlook
Proceedings of the Workshop on High Performance Energy Efficient Embedded Systems (HIP3ES) 2017
Information flow in a network model and the law of diminishing marginal returns
Distribution Aware Active Learning
Perimeter Control Using Deep Reinforcement Learning: A Model-free Approach towards Homogeneous Flow Rate Optimization
TAT-LLM: A Specialized Language Model for Discrete Reasoning over Tabular and Textual Data
Tracing the origin of a scientific legend by Reference Publication Year Spectroscopy (RPYS): the legend of the Darwin finches
RaSCL: Radar to Satellite Crossview Localization
Initialization and training of matrix product state probabilistic models
Transcending the Acceleration-Bandwidth Trade-off: Lightweight Precision Stages with Active Control of Flexible Dynamics
MSC-180: A Benchmark for Automated Formal Theorem Proving from Mathematical Subject Classification
Channel Estimation And Multiuser Detection In Asynchronous Satellite Communications
Fast Set Intersection and Two Patterns Matching
Representation Learning in Continuous-Time Score-Based Generative Models
Weighted Dark Channel Dehazing
Optimal Multi-Task Learning at Regularization Horizon for Speech Translation Task
Enhancing User Fairness in Wireless Powered Communication Networks with STAR-RIS
Adaptive Two-Layer ReLU Neural Network: I. Best Least-squares Approximation
Interpretable Prognostics with Concept Bottleneck Models
SketchSampler: Sketch-based 3D Reconstruction via View-dependent Depth Sampling
Optimal Experiment Design in Nonlinear Parameter Estimation with Exact Confidence Regions
Intensity-Based Feature Selection for Near Real-Time Damage Diagnosis of Building Structures
Enhancing Security Control Production With Generative AI
Decentralized Data Reduction with Quantization Constraints
Gradient Estimation for Federated Learning over Massive MIMO Communication Systems
Risk and Response in Large Language Models: Evaluating Key Threat Categories
Logic and computation as combinatorics
Internal Contrastive Learning for Generalized Out-of-distribution Fault Diagnosis (GOOFD) Framework
MetaTool: Facilitating Large Language Models to Master Tools with Meta-task Augmentation
A general approach to compute the relevance of middle-level input features
An NLP Solution to Foster the Use of Information in Electronic Health Records for Efficiency in Decision-Making in Hospital Care
Quantifying Cancer Likeness: A Statistical Approach for Pathological Image Diagnosis
Establishing Minimum Elements for Effective Vulnerability Management in AI Software
Deep Univariate Polynomial and Conformal Approximation
MoRS: An Approximate Fault Modelling Framework for Reduced-Voltage SRAMs
Evaluating Ternary Adders using a hybrid Memristor / CMOS approach
Cinnamons: A Computation Model Underlying Control Network Programming
On the Relationship Between KR Approaches for Explainable Planning
An Accuracy-Assured Privacy-Preserving Recommender System for Internet Commerce
Randomization Approaches for Reducing PAPR with Partial Transmit Sequences and Semidefinite Relaxation
Can You Still See Me?: Reconstructing Robot Operations Over End-to-End Encrypted Channels
From Limited Annotated Raw Material Data to Quality Production Data: A Case Study in the Milk Industry (Technical Report)
Design of distributed guidance laws for multi-UAV cooperative attacking a moving target based on reducing surrounding area
Model-Free Change Point Detection for Mixing Processes
Defeasible Reasoning in OSCAR
A New Framework for Network Disruption
Revealing Covert Attention by Analyzing Human and Reinforcement Learning Agent Gameplay
Towards Secrecy-Aware Attacks Against Trust Prediction in Signed Graphs
Edge-Erasures and Chordal Graphs
Artificial Intelligence for All? Brazilian Teachers on Ethics, Equity, and the Everyday Challenges of AI in Education
Representation Separation for Semantic Segmentation with Vision Transformers
Onesweep: A Faster Least Significant Digit Radix Sort for GPUs
Measuring Train Driver Performance as Key to Approval of Driverless Trains
GASDUINO-Wireless Air Quality Monitoring System Using Internet of Things
Strong L2 convergence of time Euler schemes for stochastic 3D Brinkman-Forchheimer-Navier-Stokes equations
Quantum solutions to possible challenges of Blockchain technology
Opinion-Based Centrality in Multiplex Networks: A Convex Optimization Approach
DispatchMAS: Fusing taxonomy and artificial intelligence agents for emergency medical services
Learn Faster and Remember More: Balancing Exploration and Exploitation for Continual Test-time Adaptation
Deep Learning in Spiking Phasor Neural Networks
Uncertainty-aware Incremental Learning for Multi-organ Segmentation
Simulating Misinformation Propagation in Social Networks using Large Language Models
Automata Guided Reinforcement Learning With Demonstrations
Disentangled Representation Learning for Astronomical Chemical Tagging
Self-critical Sequence Training for Image Captioning
Take Your Best Shot: Sampling-Based Next-Best-View Planning for Autonomous Photography & Inspection
Broadband Internet and Social Capital
Finite-difference-based simulation and adjoint optimization of gas networks
Itinerant routing in elastic optical networks
Seed-Prover 1.5: Mastering Undergraduate-Level Theorem Proving via Learning from Experience
Open Access and Discovery Tools: How do Primo Libraries Manage Green Open Access Collections?
CoDefend: Cross-Modal Collaborative Defense via Diffusion Purification and Prompt Optimization
Quasi-Newton Optimization Methods For Deep Learning Applications
Automatic Internal Stray Light Calibration of AMCW Coaxial Scanning LiDAR Using GMM and PSO
Spec-TOD: A Specialized Instruction-Tuned LLM Framework for Efficient Task-Oriented Dialogue Systems
Missing Data Prediction and Classification: The Use of Auto-Associative Neural Networks and Optimization Algorithms
Port-Hamiltonian formulation and structure-preserving discretization of hyperelastic strings
On Throughput Improvement using Immediate Re-transmission in Grant-Free Random Access with Massive MIMO
Characterization of neighborhood behaviours in a multi-neighborhood local search algorithm
A hybrid evolutionary algorithm with importance sampling for multi-dimensional optimization
On the Unreasonable Effectiveness of Feature propagation in Learning on Graphs with Missing Node Features
Unified Systems of FB-SPDEs/FB-SDEs with Jumps/Skew Reflections and Stochastic Differential Games
Crawford-Sobel meet Lloyd-Max on the grid
Proceedings IFIP Working Conference on Domain-Specific Languages, DSL 2011, Bordeaux, France, 6-8th September 2011
AngioDG: Interpretable Channel-informed Feature-modulated Single-source Domain Generalization for Coronary Vessel Segmentation in X-ray Angiography
From the evolution of public data ecosystems to the evolving horizons of the forward-looking intelligent public data ecosystem empowered by emerging technologies
Gaussian Processes Model-based Control of Underactuated Balance Robots
AttriGen: Automated Multi-Attribute Annotation for Blood Cell Datasets
Enhancing Cryptocurrency Sentiment Analysis with Multimodal Features
Unified Memcapacitor-Memristor Memory for Synaptic Weights and Neuron Temporal Dynamics
Multi-Resolution Compressed Sensing via Approximate Message Passing
Differential analysis of nonlinear systems: revisiting the pendulum example
Elastic3D: Controllable Stereo Video Conversion with Guided Latent Decoding
How Testable is Business Software?
oneDAL Optimization for ARM Scalable Vector Extension: Maximizing Efficiency for High-Performance Data Science
A Smart-Contract to Resolve Multiple Equilibrium in Intermediated Trade
Emotion Recognition from the perspective of Activity Recognition
More than a Moment: Towards Coherent Sequences of Audio Descriptions
Federated Unsupervised Representation Learning
Long-Distance Gesture Recognition using Dynamic Neural Networks
Complex Bounded Operators in Isabelle/HOL
Automated Extraction of Number of Subjects in Randomised Controlled Trials
Peer-to-peer Federated Learning on Graphs
Hermitian Hulls of Rational Algebraic Geometry Codes and Applications in Quantum Codes
End-to-end Conversation Modeling Track in DSTC6
Discovering Multi-Label Actor-Action Association in a Weakly Supervised Setting
Dimension Independent Generalization of DP-SGD for Overparameterized Smooth Convex Optimization
Threshold-limited spreading in social networks with multiple initiators
Leveraging Spatial and Semantic Feature Extraction for Skin Cancer Diagnosis with Capsule Networks and Graph Neural Networks
BERTić - The Transformer Language Model for Bosnian, Croatian, Montenegrin and Serbian
Towards Exascale Scientific Metadata Management
Element-Wise Attention Layers: an option for optimization
Prior knowledge and Markov parameters of linear time-invariant models
A Note on High-Probability versus In-Expectation Guarantees of Generalization Bounds in Machine Learning
Swarm Behaviour Evolution via Rule Sharing and Novelty Search
Periodic sequences with stable $k$-error linear complexity
Spoken Language Understanding for Conversational AI: Recent Advances and Future Direction
Advancing Translation Preference Modeling with RLHF: A Step Towards Cost-Effective Solution
The Logical Essentials of Bayesian Reasoning
Reinforcement Learning Approach for Parallelization in Filters Aggregation Based Feature Selection Algorithms
An Internet of Things Oriented Approach for Water Utility Monitoring and Control
Embodied Learning of Reward for Musculoskeletal Control with Vision Language Models
X-METRA-ADA: Cross-lingual Meta-Transfer Learning Adaptation to Natural Language Understanding and Question Answering
Neural Network-Based Collaborative Filtering for Question Sequencing
The FOLE Database
CharManteau: Character Embedding Models For Portmanteau Creation
Exploratory studies of human gait changes using depth cameras and considering measurement errors
Applying Fuzzy Logic to the Design, Verification and Analysis of Binary Hardware Circuits
Proceedings Fifth International Workshop on Rewriting Techniques for Program Transformations and Evaluation, WPTE@FSCD 2018, Oxford, England, 8th July 2018
Pretrained Embeddings as a Behavior Specification Mechanism
Degree-based Outlier Detection within IP Traffic Modelled as a Link Stream
Smoothed analysis for graph isomorphism
FisheyeDistill: Self-Supervised Monocular Depth Estimation with Ordinal Distillation for Fisheye Cameras
High-Fidelity Transfer of Functional Priors for Wide Bayesian Neural Networks by Learning Activations
Brain Inspired Cognitive Model with Attention for Self-Driving Cars
Just Few States are Enough: Randomized Sparse Feedback for Stability of Dynamical Systems
Deciding FO2 Alternation for Automata over Finite and Infinite Words
How to Measure Cyber Resilience of an Autonomous Agent: Approaches and Challenges
Interpretable Outcome Prediction with Sparse Bayesian Neural Networks in Intensive Care
The Study of Highway for Lifelong Multi-Agent Path Finding
"Hey..! This medicine made me sick": Sentiment Analysis of User-Generated Drug Reviews using Machine Learning Techniques
Video Human Segmentation using Fuzzy Object Models and its Application to Body Pose Estimation of Toddlers for Behavior Studies
Concept driven framework for Latent Table Discovery
Scheduling Space Expander: An Extension of Concurrency Control for Data Ingestion Queries
Gated Self-supervised Learning For Improving Supervised Learning
Large-scale Continuous Gesture Recognition Using Convolutional Neutral Networks
Automated bird sound recognition in realistic settings
Bayesian Metaplasticity from Synaptic Uncertainty
Optimal Deadline Scheduling with Commitment
Graphical Join: A New Physical Join Algorithm for RDBMSs
On the Effectiveness of the z-Transform Method in Quadratic Optimization
Non-Orthogonal Multiple Access Performance for Millimeter Wave in Vehicular Communications
Trust but Verify! A Survey on Verification Design for Test-time Scaling
Discovering Sparse Representations of Lie Groups with Machine Learning
Facke: a Survey on Generative Models for Face Swapping
Incremental construction of minimal acyclic finite-state automata
Free and Customizable Code Documentation with LLMs: A Fine-Tuning Approach
A Two-step Krasnosel'skii-Mann Algorithm with Adaptive Momentum and Its Applications to Image Denoising and Matrix Completion
Exploiting Parallel Memory Write Requests for Covert Channel Attacks in Integrated CPU-GPU Systems
Loss Landscape Sightseeing with Multi-Point Optimization
Bayesian Physics Informed Neural Networks for Reliable Transformer Prognostics
Diagonal RNNs in Symbolic Music Modeling
Extend Adversarial Policy Against Neural Machine Translation via Unknown Token
On the Implicit Bias of Linear Equivariant Steerable Networks: Margin, Generalization, and Their Equivalence to Data Augmentation
Room for improvement in automatic image description: an error analysis
Comprehensive Manuscript Assessment with Text Summarization Using 69707 articles
Enhancing In-Context Learning with Answer Feedback for Multi-Span Question Answering
Normalized mutual information is a biased measure for classification and community detection
Fuzzy Linguistic Logic Programming and its Applications
Modeling Interdependent Cybersecurity Threats Using Bayesian Networks: A Case Study on In-Vehicle Infotainment Systems
A Little More, a Lot Better: Improving Path Quality by a Simple Path Merging Algorithm
Me Love (SYN-)Cookies: SYN Flood Mitigation in Programmable Data Planes
Do We Need Responsible XR? Drawing on Responsible AI to Inform Ethical Research and Practice into XRAI / the Metaverse
Dynamic gesture retrieval: searching videos by human pose sequence
Mitigating Uncertainty of Classifier for Unsupervised Domain Adaptation
Algorithms are not neutral: Bias in collaborative filtering
99\% Revenue via Enhanced Competition
Relay-Assisted Scheduling in Cellular Networks with Hybrid-ARQ
AFT: Appearance-Based Feature Tracking for Markerless and Training-Free Shape Reconstruction of Soft Robots
SRBB-Based Quantum State Preparation
Assessing the Feasibility, and Efficacy of Virtual Reality Navigational Training for Older Adults
SAGE: Strategy-Adaptive Generation Engine for Query Rewriting
Too Few Bug Reports? Exploring Data Augmentation for Improved Changeset-based Bug Localization
End-to-end Streaming model for Low-Latency Speech Anonymization
Fast mesh denoising with data driven normal filtering using deep variational autoencoders
Digital Image Forensics using Deep Learning
TsFeX: Contact Tracing Model using Time Series Feature Extraction and Gradient Boosting
Climbing the Diagonal Clifford Hierarchy
Evaluation of Fairness Trade-offs in Predicting Student Success
Flux-Sculptor: Text-Driven Rich-Attribute Portrait Editing through Decomposed Spatial Flow Control
Process Modeling With Large Language Models
Non-binary Codes for Correcting a Burst of at Most t Deletions
ms-Mamba: Multi-scale Mamba for Time-Series Forecasting
AoI-based Multicast Routing over Voronoi Overlays with Minimal Overhead
TabKAN: Advancing Tabular Data Analysis using Kolmograv-Arnold Network
AI Generated Child Sexual Abuse Material - What's the Harm?
On the Convergence of the Dynamic Inner PCA Algorithm
Deep-Learning-based Vasculature Extraction for Single-Scan Optical Coherence Tomography Angiography
Simultaneous merging multiple grid maps using the robust motion averaging
PyODDS: An End-to-End Outlier Detection System
Crossbar-Net: A Novel Convolutional Network for Kidney Tumor Segmentation in CT Images
Concurrent Learning Based Adaptive Control of Euler Lagrange Systems with Guaranteed Parameter Convergence
Perturbation on Feature Coalition: Towards Interpretable Deep Neural Networks
Role of Project Management in Virtual Teams Success
Mathematical Computation on High-dimensional Data via Array Programming and Parallel Acceleration
ICASSP 2022 Deep Noise Suppression Challenge
Knowledge-based Neural Ordinary Differential Equations for Cosserat Rod-based Soft Robots
Truth Discovery Algorithms: An Experimental Evaluation
K-Bit-Swap: A New Operator For Real-Coded Evolutionary Algorithms
Bayesian sampling using interacting particles
qFunctions - A Mathematica package for q-series and partition theory applications
A Novel Two-Step Fine-Tuning Pipeline for Cold-Start Active Learning in Text Classification Tasks
Improved Exact and Heuristic Algorithms for Maximum Weight Clique