yusuke1997/dblp-id-title huggingface dataset:
"Structuration" by Intellectual Organization: The Configuration of Knowledge in Relations among Structural Components in Networks of Science
Adapt/Exchange decisions or generic choices: Does framing influence how people integrate qualitatively different risks?
Learning to optimize convex risk measures: The cases of utility-based shortfall risk and optimized certainty equivalent risk
The Relational Bottleneck as an Inductive Bias for Efficient Abstraction
Clarifying orthography: Orthographic transparency as compressibility
Effects of Easy Hybrid Parallelization with CUDA for Numerical-Atomic-Orbital Density Functional Theory Calculation
TLE-Based A2C Agent for Terrestrial Coverage Orbital Path Planning
Learning, fast and slow: a two-fold algorithm for data-based model adaptation
A Simple Discretization Scheme for Gain Matrix Conditioning
Kokatsuji: A Visualization Approach for Typographic Forensics of Early Japanese Movable Type
State-Machine Replication Scalability Made Simple (Extended Version)
You Never Know a Person, You Only Know Their Defenses: Detecting Levels of Psychological Defense Mechanisms in Supportive Conversations
Towards Formal Verification of LLM-Generated Code from Natural Language Prompts
DLBacktrace: A Model Agnostic Explainability for any Deep Learning Models
Bayesian Variational Optimization for Combinatorial Spaces
Stochastic Ratios Tracking Algorithm for Large Scale Machine Learning Problems
Difficulty-Aware Label-Guided Denoising for Monocular 3D Object Detection
SensingKit: Evaluating the Sensor Power Consumption in iOS devices
Genetic Algorithms in Wireless Networking: Techniques, Applications, and Issues
Control Barrier Function Based UAV Safety Controller in Autonomous Airborne Tracking and Following Systems
Rooting Formal Methods within Higher Education Curricula for Computer Science and Software Engineering - A White Paper
Contrastive Learning for Object Detection
ZigzagAttention: Efficient Long-Context Inference with Exclusive Retrieval and Streaming Heads
A GRASP approach for solving the 2-connected m-dominating set problem
Text-Based Correlation Matrix in Multi-Asset Allocation
Multicasting with selective delivery: A SafetyNet for vertical handoffs
Bias-Aware Minimisation: Understanding and Mitigating Estimator Bias in Private SGD
Planar Graphs of Bounded Degree have Constant Queue Number
A Systematic Review of Security in the LoRaWAN Network Protocol
QueST: Incentivizing LLMs to Generate Difficult Problems
Automatic Failure Attribution and Critical Step Prediction Method for Multi-Agent Systems Based on Causal Inference
A Finite Volume scheme for the solution of discontinuous magnetic field distributions on non-orthogonal meshes
Matrix Completion via Memoryless Scalar Quantization
Augmented Collective Intelligence in Collaborative Ideation: Agenda and Challenges
Making Data: The Work Behind Artificial Intelligence
Convolutional Neural Networks based automated segmentation and labelling of the lumbar spine X-ray
SAFEx: Analyzing Vulnerabilities of MoE-Based LLMs via Stable Safety-critical Expert Identification
Big-Data Science in Porous Materials: Materials Genomics and Machine Learning
Characterizing a Set of Popular Matchings Defined by Preference Lists with Ties
XPersona: Evaluating Multilingual Personalized Chatbot
Exploring Actions, Interactions and Challenges in Software Modelling Tasks: An Empirical Investigation with Students
When Names Disappear: Revealing What LLMs Actually Understand About Code
Integration of Vision-based Object Detection and Grasping for Articulated Manipulator in Lunar Conditions
VLCache: Computing 2% Vision Tokens and Reusing 98% for Vision-Language Inference
Hyperbolic quadrature method of moments for the one-dimensional kinetic equation
An Intelligent Multi-Agent Recommender System for Human Capacity Building
ML-misfit: Learning a robust misfit function for full-waveform inversion using machine learning
Process discovery on deviant traces and other stranger things
A Low-Complexity Beamforming Design for Beyond-Diagonal RIS aided Multi-User Networks
Persistent Autoregressive Mapping with Traffic Rules for Autonomous Driving
Quasi-cyclic Codes of Index 1.5
Revisiting MLLM Based Image Quality Assessment: Errors and Remedy
The effect of novelty on the future impact of scientific grants
Evaluation of Spatial Distortion in Multichannel Audio
Alleviating the recommendation bias via rank aggregation
Bailicai: A Domain-Optimized Retrieval-Augmented Generation Framework for Medical Applications
Moving Down the Long Tail of Word Sense Disambiguation with Gloss-Informed Biencoders
Encoding categorical data: Is there yet anything 'hotter' than one-hot encoding?
Leveraging Voltage Controlled Magnetic Anisotropy to Solve Sneak Path Issues in Crossbar Arrays
$Λ$-Split: A Privacy-Preserving Split Computing Framework for Cloud-Powered Generative AI
Partially Ordered Two-way Büchi Automata
PV Source Integrated Micro-Grid for Power Quality Improvement using MPPT Technique
A Chebyshev Spectral Method for Nonlinear Fourier Transform: Norming Constants
Training Set Reconstruction from Differentially Private Forests: How Effective is DP?
Classic Lagrangian may not be applicable to the traveling salesman problem
The Trailer of Strategic Alliance for Blockchain Governance Game
Facts Fade Fast: Evaluating Memorization of Outdated Medical Knowledge in Large Language Models
Robust unrelated parallel machine scheduling problem with interval release dates
A New Fuzzy DEMATEL-TODIM Hybrid Method for evaluation criteria of Knowledge management in supply chain
Bi-Virus SIS Epidemic Propagation under Mutation and Game-theoretic Protection Adoption
Less Is More: Improved RNN-T Decoding Using Limited Label Context and Path Merging
Zero-Shot Clinical Trial Patient Matching with LLMs
Approximating the Volume of Tropical Polytopes is Difficult
SynFuzz: Leveraging Fuzzing of Netlist to Detect Synthesis Bugs
Randomized Rounding for the Largest $j$-Simplex Problem
On Portrait of a Specialist in Open Data
Grid-Based Multichannel Access in Vehicular Networks
An optimized Space-Time Multigrid algorithm for parabolic PDEs
Continuous Partial Quorums for Consistency-Latency Tuning in Distributed NoSQL Storage Systems
MITO: Enabling Non-Line-of-Sight Perception using Millimeter-waves through Real-World Datasets and Simulation Tools
Beyond Supervised Continual Learning: a Review
Model-assisted Learning-based Framework for Sensor Fault-Tolerant Building HVAC Control
A Block Cipher using Rotation and Logical XOR Operations
Multi-Valued Cognitive Maps: Calculations with Linguistic Variables without Using Numbers
Can Smaller LLMs do better? Unlocking Cross-Domain Potential through Parameter-Efficient Fine-Tuning for Text Summarization
Quantum-assisted Helmholtz machines: A quantum-classical deep learning framework for industrial datasets in near-term devices
A computationally efficient fractional predictor corrector approach involving the Mittag Leffler kernel
Recurrent Neural Networks For Accurate RSSI Indoor Localization
Controllability and reachability of singular linear discrete time systems
DLIP: Distilling Language-Image Pre-training
Sim2Real Reinforcement Learning for Soccer skills
Learning Word-Level Confidence For Subword End-to-End ASR
Cumplimiento del Reglamento (UE) 2024/1689 en robótica y sistemas autónomos: una revisión sistemática de la literatura
A Literature Study of Embeddings on Source Code
Agent-based Automated Claim Matching with Instruction-following LLMs
Lower and Upper Bounds on the VC-Dimension of Tensor Network Models
On the Benefits of Populations on the Exploitation Speed of Standard Steady-State Genetic Algorithms
MPSeg : Multi-Phase strategy for coronary artery Segmentation
VW-PINNs: A volume weighting method for PDE residuals in physics-informed neural networks
ArcaDB: A Container-based Disaggregated Query Engine for Heterogenous Computational Environments
Block Neural Network Avoids Catastrophic Forgetting When Learning Multiple Task
Lithological Controls on the Permeability of Geologic Faults: Surrogate Modeling and Sensitivity Analysis
Efficient and Robust Multidimensional Attention in Remote Physiological Sensing through Target Signal Constrained Factorization
A Computationally Efficient Bi-level Coordination Framework for CAVs at Unsignalized Intersections
Converting and Smoothing False Negatives for Vision-Language Pre-training
Large-displacement 3D Object Tracking with Hybrid Non-local Optimization
MiniCPM4: Ultra-Efficient LLMs on End Devices
Applying machine learning techniques to improve user acceptance on ubiquitous environement
Transferable Attack for Semantic Segmentation
Stochastic optimization for unit commitment applied to the security of supply
Stochastic PDEs on graphs as scaling limits of discrete interacting systems
A Twitter narrative of the COVID-19 pandemic in Australia
WNGrad: Learn the Learning Rate in Gradient Descent
Forward and Backward Application of Symbolic Tree Transducers
Monocular Vision-based Prediction of Cut-in Maneuvers with LSTM Networks
Continual Instruction Tuning for Large Multimodal Models
Distributionally robust LMI synthesis for LTI systems
Single camera pose estimation using Bayesian filtering and Kinect motion priors
Electrical Load Forecasting Model Using Hybrid LSTM Neural Networks with Online Correction
Is Selection All You Need in Differential Evolution?
Embedded Computer Vision System Applied to a Four-Legged Line Follower Robot
Erasure Codes for Distributed Storage: Tight Bounds and Matching Constructions
Residual Features and Unified Prediction Network for Single Stage Detection
Benchmarking LLMs and SLMs for patient reported outcomes
LLM-Assisted Rule Based Machine Translation for Low/No-Resource Languages
CovidNet: To Bring the Data Transparency in Era of COVID-19
Problems parameterized by treewidth tractable in single exponential time: a logical approach
A Practical Approach to using Supervised Machine Learning Models to Classify Aviation Safety Occurrences
Applied MVC Patterns. A pattern language
InstructNet: A Novel Approach for Multi-Label Instruction Classification through Advanced Deep Learning
Towards dynamic multi-modal phenotyping using chest radiographs and physiological data
On Strong Determinacy of Countable Stochastic Games
A Nearly Instance Optimal Algorithm for Top-k Ranking under the Multinomial Logit Model
Dual Adversarial Resilience for Collaborating Robust Underwater Image Enhancement and Perception
MOCCA: A Fast Algorithm for Parallel MRI Reconstruction Using Model Based Coil Calibration
Universal Graph Random Features
Securing Reliability: A Brief Overview on Enhancing In-Context Learning for Foundation Models
A New Perspective to Boost Vision Transformer for Medical Image Classification
Self-supervised Pretraining for Integrated Prediction and Planning of Automated Vehicles
Unlearning Inversion Attacks for Graph Neural Networks
EHRAgent: Code Empowers Large Language Models for Complex Tabular Reasoning on Electronic Health Records
Detection Selection Algorithm: A Likelihood based Optimization Method to Perform Post Processing for Object Detection
On multi-step extended maximum residual Kaczmarz method for solving large inconsistent linear systems
HAM: Hierarchical Adapter Merging for Scalable Continual Learning
A Deep Neural Network Based Approach to Building Budget-Constrained Models for Big Data Analysis
Ethical AI in the Healthcare Sector: Investigating Key Drivers of Adoption through the Multi-Dimensional Ethical AI Adoption Model (MEAAM)
CPES-QSM: A Quantitative Method Towards the Secure Operation of Cyber-Physical Energy Systems
Proceedings 6th Workshop on Formal Methods and Analysis in SPL Engineering, FMSPLE@ETAPS 2015, London, UK, 11 April 2015
Dynamic Pricing on E-commerce Platform with Deep Reinforcement Learning
HyperRAG: Enhancing Quality-Efficiency Tradeoffs in Retrieval-Augmented Generation with Reranker KV-Cache Reuse
Higher Order Kernels and Locally Affine LDDMM Registration
TG-PSM: Tunable Greedy Packet Sequence Morphing Based on Trace Clustering
Despertando o Interesse de Mulheres para os Cursos em STEM
Context-aware surrogate modeling for balancing approximation and sampling costs in multi-fidelity importance sampling and Bayesian inverse problems
Supporting Post-disaster Recovery with Agent-based Modeling in Multilayer Socio-physical Networks
Forbidden induced subgraphs in iterative higher order line graphs
Modeling Cell Dynamics and Interactions with Unbalanced Mean Field Schrödinger Bridge
FZOO: Fast Zeroth-Order Optimizer for Fine-Tuning Large Language Models towards Adam-Scale Speed
Estimating Joint Probability Distribution With Low-Rank Tensor Decomposition, Radon Transforms and Dictionaries
Submix: Practical Private Prediction for Large-Scale Language Models
Debatable Intelligence: Benchmarking LLM Judges via Debate Speech Evaluation
Scalable Zero-Knowledge Proofs for Verifying Cryptographic Hashing in Blockchain Applications
On Transfer Learning of Traditional Frequency and Time Domain Features in Turning
PPFL: Privacy-preserving Federated Learning with Trusted Execution Environments
TreeX: Generating Global Graphical GNN Explanations via Critical Subtree Extraction
Learning Connectivity with Graph Convolutional Networks for Skeleton-based Action Recognition
An Adaptive, Multivariate Partitioning Algorithm for Global Optimization of Nonconvex Programs
An Intercell Interference Model based on Scheduling for Future Generation Wireless Networks (Part 1 and Part 2)
On backpropagating Hessians through ODEs
Multiple configurations for puncturing robot positioning
Modularity based community detection in heterogeneous networks
Enhancing Egocentric 3D Pose Estimation with Third Person Views
Proceedings Tenth Workshop on Model Based Testing, MBT 2015, London, UK, 18th April 2015
Breast Cancer Detection in Thermographic Images via Diffusion-Based Augmentation and Nonlinear Feature Fusion
Diffusion synthetic acceleration for heterogeneous domains, compatible with voids
An improved online learning algorithm for general fuzzy min-max neural network
FUSION: Fully Integration of Vision-Language Representations for Deep Cross-Modal Understanding
Kernel PCA for Out-of-Distribution Detection: Non-Linear Kernel Selections and Approximations
Not Another Day Zero: Design Hackathons for Community-Based Water Quality Monitoring
Asyncval: A Toolkit for Asynchronously Validating Dense Retriever Checkpoints during Training
FP8 versus INT8 for efficient deep learning inference
SoK: Semantic Privacy in Large Language Models
StyleFaceV: Face Video Generation via Decomposing and Recomposing Pretrained StyleGAN3
Indirect methods in optimal control on Banach spaces
Secure Generators of q-valued Pseudo-Random Sequences on Arithmetic Polynomials
A Programming Model and Runtime System for Significance-Aware Energy-Efficient Computing
Decision Trees for Interpretable Clusters in Mixture Models and Deep Representations
Efficient Batched CPU/GPU Implementation of Orthogonal Matching Pursuit for Python
Intertemporal Connections Between Query Suggestions and Search Engine Results for Politics Related Queries
FLAIR: Feeding via Long-horizon AcquIsition of Realistic dishes
RadDiff: Retrieval-Augmented Denoising Diffusion for Protein Inverse Folding
POI Semantic Model with a Deep Convolutional Structure
Random Formula Generators
Numerion: A Multi-Hypercomplex Model for Time Series Forecasting
A Modality-level Explainable Framework for Misinformation Checking in Social Networks
Hybrid Automatic Neighbor Relations for 5G Wireless Networks
Classification of Honey Botanical and Geographical Sources using Mineral Profiles and Machine Learning
Core Higher-Order Session Processes: Tractable Equivalences and Relative Expressiveness
Generative Models for Stochastic Processes Using Convolutional Neural Networks
Understanding Flash Crash Contagion and Systemic Risk: A Micro-Macro Agent-Based Approach
A Challenger to GPT-4V? Early Explorations of Gemini in Visual Expertise
RaX-Crash: A Resource Efficient and Explainable Small Model Pipeline with an Application to City Scale Injury Severity Prediction
Deep Morphological Hit-or-Miss Transform Neural Network
Rigid3D: a hybrid multi-sphere DEM framework for simulation of non-spherical particles in multi-phase flow
Modified Segmentation Algorithm for Recognition of Older Geez Scripts Written on Vellum
Shifting Mobility Behaviors in Unprecedented Times: Intentions to Use On-demand Ride Services During the COVID-19 Pandemic
CL-BioGAN: Biologically-Inspired Cross-Domain Continual Learning for Hyperspectral Anomaly Detection
Asset-driven Threat Modeling for AI-based Systems
Solving the Content Gap in Roblox Game Recommendations: LLM-Based Profile Generation and Reranking
SEVADE: Self-Evolving Multi-Agent Analysis with Decoupled Evaluation for Hallucination-Resistant Irony Detection
IIFNet: A Fusion based Intelligent Service for Noisy Preamble Detection in 6G
AT-CXR: Uncertainty-Aware Agentic Triage for Chest X-rays
Twitter Spam and False Accounts Prevalence, Detection and Characterization: A Survey
Post-Quantum Cryptography Algorithms Standardization and Performance Analysis
Perception Test 2024: Challenge Summary and a Novel Hour-Long VideoQA Benchmark
The Optimality of the Interleaving Distance on Multidimensional Persistence Modules
Attention-based Extraction of Structured Information from Street View Imagery
Fair and efficient allocation of indivisible items under category constraints
Subset Selection Problems in Planar Point Sets
Generalizability through Explainability: Countering Overfitting with Counterfactual Examples
ZJU ReLER Submission for EPIC-KITCHEN Challenge 2023: Semi-Supervised Video Object Segmentation
Under the Hood of Transformer Networks for Trajectory Forecasting
A FinTech Clustering Framework: Technology, Model, and Stakeholder Perspectives
Causality-Driven Audits of Model Robustness
Quasifibrations of Graphs to Find Symmetries in Biological Networks
A Multi-Site Accelerator-Rich Processing Fabric for Scalable Brain-Computer Interfacing
KG-MDL: Mining Graph Patterns in Knowledge Graphs with the MDL Principle
HOTR: End-to-End Human-Object Interaction Detection with Transformers
Dynamics of targeted ransomware negotiations
k-way Hypergraph Partitioning via n-Level Recursive Bisection
Improving Model Understanding and Trust with Counterfactual Explanations of Model Confidence
Domain-Level Explainability - A Challenge for Creating Trust in Superhuman AI Strategies
How Epidemic Psychology Works on Social Media: Evolution of responses to the COVID-19 pandemic
Software (Re-)Engineering with PSF
BRYT: Data Rich Analytics Based Computer Architecture for A New Paradigm of Chip Design to Supplant Moore's Law
A rule-based system proposal to aid in the evaluation and decision-making in external beam radiation treatment planning
Optimal explicit stabilized postprocessed τ-leap method for the simulation of chemical kinetics
Zero-Knowledge Proofs of the Conjugacy for Permutation Groups
Neural Network Based Explicit MPC for Chemical Reactor Control
Green Federated Learning: A new era of Green Aware AI
Democratizing Reward Design for Personal and Representative Value-Alignment
Introducing the diagrammatic mode
Boosting classification reliability of NLP transformer models in the long run
Step-Opt: Boosting Optimization Modeling in LLMs through Iterative Data Synthesis and Structured Validation
Learning to Bound Counterfactual Inference in Structural Causal Models from Observational and Randomised Data
One-Lee weight and two-Lee weight ℤ 2 ℤ 2 [u]-additive codes
Enabling Clean Energy Resilience with Machine Learning-Empowered Underground Hydrogen Storage
Enhancing Hallucination Detection via Future Context
The nested block preconditioning technique for the incompressible Navier-Stokes equations with emphasis on hemodynamic simulations
Graph-Based Bidirectional Transformer Decision Threshold Adjustment Algorithm for Class-Imbalanced Molecular Data
Network Formation: Heterogeneous Traffic, Bilateral Contracting and Myopic Dynamics
Detecting epidemics using Wikipedia article views: A demonstration of feasibility with language as location proxy
RDF2Rules: Learning Rules from RDF Knowledge Bases by Mining Frequent Predicate Cycles
AI Consciousness and Existential Risk
Introduction to the iDian
Multimodal Deep Learning for Scientific Imaging Interpretation
TaLU: A Hybrid Activation Function Combining Tanh and Rectified Linear Unit to Enhance Neural Networks
Dynamic concurrent van Emde Boas array
ChatPRCS: A Personalized Support System for English Reading Comprehension based on ChatGPT
Towards non-threaded Concurrent Constraint Programming for implementing multimedia interaction systems
Satisficing Mentalizing: Bayesian Models of Theory of Mind Reasoning in Scenarios with Different Uncertainties
The curriculum prerequisite network: a tool for visualizing and analyzing academic curricula
On the Connectivity Preserving Minimum Cut Problem
Vision Transformers and YoloV5 based Driver Drowsiness Detection Framework
Nonparametric Quantile Regression: Non-Crossing Constraints and Conformal Prediction
LMVC: An End-to-End Learned Multiview Video Coding Framework
Reconstruction of hidden 3D shapes using diffuse reflections
A Cognitive Radio Based Internet Access Framework for Disaster Response Network Deployment
Groebner Bases for Everyone with CoCoA-5 and CoCoALib
A Study of Policy Gradient on a Class of Exactly Solvable Models
Using Linear Constraints for Logic Program Termination Analysis
Sequential Decision Fusion for Environmental Classification in Assistive Walking
Text to Image Synthesis using Stacked Conditional Variational Autoencoders and Conditional Generative Adversarial Networks
Data Augmentation to Address Out-of-Vocabulary Problem in Low-Resource Sinhala-English Neural Machine Translation
Adversarial Locomotion and Motion Imitation for Humanoid Policy Learning
Learned Systems Security
Improved online load balancing with known makespan
Language Access: An Information Based Approach
Ensemble Learning for Graph Neural Networks
Inferring 3D Shapes of Unknown Rigid Objects in Clutter through Inverse Physics Reasoning
Multi-Pair Two-Way Relay Network with Harvest-Then-Transmit Users: Resolving Pairwise Uplink-Downlink Coupling
Sustained sensorimotor control as intermittent decisions about prediction errors: Computational framework and application to ground vehicle steering
U-Flow: A U-shaped Normalizing Flow for Anomaly Detection with Unsupervised Threshold
Extracting Causal Visual Features for Limited label Classification
RedCore: Relative Advantage Aware Cross-modal Representation Learning for Missing Modalities with Imbalanced Missing Rates
Online Minimization of Polarization and Disagreement via Low-Rank Matrix Bandits
Performance of a Threshold-based WDM and ACM for FSO Communication between Mobile Platforms in Maritime Environments
Stochastic Configuration Machines: FPGA Implementation
Safety-Critical Multi-Agent MCTS for Mixed Traffic Coordination at Unsignalized Roundabout
Non-termination of Dalvik bytecode via compilation to CLP
TVCondNet: A Conditional Denoising Neural Network for NMR Spectroscopy
Dynamic Risk Management in Cyber Physical Systems
Task-Specific Expert Pruning for Sparse Mixture-of-Experts
fruit-SALAD: A Style Aligned Artwork Dataset to reveal similarity perception in image embeddings
Enhancing 6G Network Security and Incident Response through Integrated VNF and SDN Technologies
Segmentation of Drosophila Heart in Optical Coherence Microscopy Images Using Convolutional Neural Networks
A novel coarse space applying to the weighted Schwarz method for Helmholtz equations
On Reasoning with RDF Statements about Statements using Singleton Property Triples
Probabilistic Planning for Maritime Search and Rescue
Delay Optimal Secrecy in Two-Relay Network
An Elementary Proof that Q-learning Converges Almost Surely
Causality-Aided Falsification
On Policy Evaluation Algorithms in Distributional Reinforcement Learning
Matrix Completion from O(n) Samples in Linear Time
Multi-Agent Disk Inspection
Adversarial training for predictive tasks: theoretical analysis and limitations in the deterministic case
Knowledge discovery through text-based similarity searches for astronomy literature
Distributed Semi-Stochastic Optimization with Quantization Refinement