yusuke1997/dblp-id-title huggingface dataset:
Exploiting Self-Interference Suppression for Improved Spectrum Awareness/Efficiency in Cognitive Radio Systems
Answer Set Counting and its Applications
Coalition and Group Announcement Logic
Addressing Hallucinations with RAG and NMISS in Italian Healthcare LLM Chatbots
The Voronoigram: Minimax Estimation of Bounded Variation Functions From Scattered Data
Channel Assignment via Fast Zeta Transform
Maximization of Nonsubmodular Functions under Multiple Constraints with Applications
Navigating Inflation in Ghana: How Can Machine Learning Enhance Economic Stability and Growth Strategies
Low-Cost Sensor Fusion Framework for Organic Substance Classification and Quality Control Using Classification Methods
Scaling Point-based Differentiable Rendering for Large-scale Reconstruction
Sub2Full: split spectrum to boost OCT despeckling without clean data
A discussion about LNG Experiment: Irreversible or Reversible Generation of the Or Logic Gate?
Mul2MAR: A Multi-Marker Mobile Augmented Reality Application for Improved Visual Perception
TEST: an End-to-End Network Traffic Examination and Identification Framework Based on Spatio-Temporal Features Extraction
GSim: A Graph Neural Network based Relevance Measure for Heterogeneous Graphs
Fast IR Drop Estimation with Machine Learning
Deep-Learning-based Automated Palm Tree Counting and Geolocation in Large Farms from Aerial Geotagged Images
Evolving Boolean Regulatory Networks with Epigenetic Control
LLM-based Agentic Reasoning Frameworks: A Survey from Methods to Scenarios
TinyDrop: Tiny Model Guided Token Dropping for Vision Transformers
On the curvatures of Gaussian random field manifolds
Layover or Direct Flight: Rethinking Audio-Guided Image Segmentation
Mixup-breakdown: a consistency training method for improving generalization of speech separation models
Convergent and divergent connectivity patterns of the arcuate fasciculus in macaques and humans
Runtime Optimization of Identification Event in ECG Based Biometric Authentication
A Unified Neural Network Approach for Estimating Travel Time and Distance for a Taxi Trip
Hybrid Graph: A Unified Graph Representation with Datasets and Benchmarks for Complex Graphs
Assessing the Contribution of Semantic Congruency to Multisensory Integration and Conflict Resolution
Identifying Telescope Usage in Astrophysics Publications: A Machine Learning Framework for Institutional Research Management at Observatories
Locating phase transitions in computationally hard problems
A 25 Year Retrospective on D-Lib Magazine
Brain Tumor Segmentation from MRI Images using Deep Learning Techniques
High-degree compression functions on alternative models of elliptic curves and their applications
Curvature of Feasible Sets in Offline and Online Optimization
Local Generalization and Bucketization Technique for Personalized Privacy Preservation
Typed Graph Networks
Towards Neural Sparse Linear Solvers
Estimation of global network statistics from incomplete data
H m -Conforming Virtual Elements in Arbitrary Dimension
Energy stability of Strang splitting for vector-valued and matrix-valued Allen-Cahn equations
Covering selfish machines
Minimizing Factual Inconsistency and Hallucination in Large Language Models
Pair DETR: Contrastive Learning Speeds Up DETR Training
Support pour la reconfiguration d'implantation dans les applications a composants Java
Spatial 3D-LLM: Exploring Spatial Awareness in 3D Vision-Language Models
Correspondence between Composite Theories and Distributive Laws
Clocked Definitions in HOL
Energy Efficiency Maximization for CoMP Joint Transmission with Non-Ideal Power Amplifiers
Tell2Reg: Establishing spatial correspondence between images by the same language prompts
Improved Speech Enhancement with the Wave-U-Net
CausalEGM: a general causal inference framework by encoding generative modeling
Dim and Small Target Detection for Drone Broadcast Frames Based on Time-Frequency Analysis
Calibrating Verbal Uncertainty as a Linear Feature to Reduce Hallucinations
RES-SE-NET: Boosting Performance of Resnets by Enhancing Bridge-connections
Multilingual Target-Stance Extraction
Wave-Tacotron: Spectrogram-free end-to-end text-to-speech synthesis
LLM-based Affective Text Generation Quality Based on Different Quantization Values
N2N: A Parallel Framework for Large-Scale MILP under Distributed Memory
On differential properties of a class of Niho-type power function
2-Edge-Connectivity and 2-Vertex-Connectivity of an Asynchronous Distributed Network
Revisiting Multi-Agent World Modeling from a Diffusion-Inspired Perspective
Quantum Meet-in-the-Middle Attack on 7-round Feistel Construction
UAVs using Bayesian Optimization to Locate WiFi Devices
Achieving Complex Image Edits via Function Aggregation with Diffusion Models
Effectiveness of greedily collecting items in open world games
Generative De-Quantization for Neural Speech Codec via Latent Diffusion
Complete Positivity for Mixed Unitary Categories
Mean Field inference of CRFs based on GAT
Enjeux éthiques de l'IA en santé : une humanisation du parcours de soin par l'intelligence artificielle ?
Improving the Effectiveness of Traceability Link Recovery using Hierarchical Bayesian Networks
NLPre: a revised approach towards language-centric benchmarking of Natural Language Preprocessing systems
Approximating Trajectory Constraints with Machine Learning - Microgrid Islanding with Frequency Constraints
OptiRefine: Densest subgraphs and maximum cuts with k refinements
Efficient Ensemble Model Generation for Uncertainty Estimation with Bayesian Approximation in Segmentation
Single-Agent Actor Critic for Decentralized Cooperative Driving
EH-DNAS: End-to-End Hardware-aware Differentiable Neural Architecture Search
Compressive Channel Estimation and Multi-user Detection in C-RAN
Camera Distance-aware Top-down Approach for 3D Multi-person Pose Estimation from a Single RGB Image
C3PO: Learning to Achieve Arbitrary Goals via Massively Entropic Pretraining
Beyond Data, Towards Sustainability: A Sydney Case Study on Urban Digital Twins
MEAL V2: Boosting Vanilla ResNet-50 to 80%+ Top-1 Accuracy on ImageNet without Tricks
Non-Parametric Learning of Gaifman Models
Blockchain-enhanced Integrity Verification in Educational Content Assessment Platform: A Lightweight and Cost-Efficient Approach
SemiMultiPose: A Semi-supervised Multi-animal Pose Estimation Framework
Heterogeneous graph attention network improves cancer multiomics integration
On Diagnostics for Understanding Agent Training Behaviour in Cooperative MARL
EP-PQM: Efficient Parametric Probabilistic Quantum Memory with Fewer Qubits and Gates
Tackling Catastrophic Forgetting and Background Shift in Continual Semantic Segmentation
Hybrid Analog-Digital Precoding Revisited under Realistic RF Modeling
Limit of the Maximum Random Permutation Set Entropy
Randomized Algorithms for Low-Rank Matrix and Tensor Decompositions
Secure UAV-assisted Federated Learning: A Digital Twin-Driven Approach with Zero-Knowledge Proofs
Profiling Concurrent Vision Inference Workloads on NVIDIA Jetson - Extended
Exploring Color Invariance through Image-Level Ensemble Learning
NovaFlow: Zero-Shot Manipulation via Actionable Flow from Generated Videos
Name Tagging Under Domain Shift via Metric Learning for Life Sciences
Cooperative Reinforcement Learning on Traffic Signal Control
An Incremental Sampling-based Algorithm for Stochastic Optimal Control
Multi-path Model and Sensitivity Analysis for Galvanic Coupled Intra-body Communication through Layered Tissue
Filming runners with drones is hard
Musings on Encodings and Expressiveness
Taking Human out of Learning Applications: A Survey on Automated Machine Learning
Design and Performance Analysis of an Ultra-Low Power Integrate-and-Fire Neuron Circuit Using Nanoscale Side-contacted Field Effect Diode Technology
Time-Adaptive Recurrent Neural Networks
Kemeny's constant minimization for reversible Markov chains via structure-preserving perturbations
Guaranteed successful strategies for a square achievement game on an n by n grid
Better than Average: Paired Evaluation of NLP Systems
Exact Sampling from Determinantal Point Processes
Forecasting the cost of processing multi-join queries via hashing for main-memory databases (Extended version)
Efficient Medical VIE via Reinforcement Learning
The size of a formula as a measure of complexity
Understanding the Behaviour of the Empirical Cross-Entropy Beyond the Training Distribution
Frequency Domain Approach for Activity Classification using Accelerometer
Recurrence of Optimum for Training Weight and Activation Quantized Networks
FIVB ranking: Misstep in the right direction
On Selecting Few-Shot Examples for LLM-based Code Vulnerability Detection
Comparing People with Bibliometrics
Verification Method for Graph Isomorphism Criteria
LDPC Code Design for the BPSK-constrained Gaussian Wiretap Channel
HSTREAM: A directive-based language extension for heterogeneous stream computing
Object Detection as an Optional Basis: A Graph Matching Network for Cross-View UAV Localization
Doing Natural Language Processing in A Natural Way: An NLP toolkit based on object-oriented knowledge base and multi-level grammar base
FPGA Implementation of ECG feature extraction using Time domain analysis
Are We Safe Yet? The Limitations of Distributional Features for Fake News Detection
Quantifying patterns of research interest evolution
Causal Graphs Meet Thoughts: Enhancing Complex Reasoning in Graph-Augmented LLMs
Message Randomization and Strong Security in Quantum Stabilizer-Based Secret Sharing for Classical Secrets
Stable, accurate and efficient deep neural networks for inverse problems with analysis-sparse models
Information processing features can detect behavioral regimes of dynamical systems
UCLog+ : A Security Data Management System for Correlating Alerts, Incidents, and Raw Data From Remote Logs
Automatic Syntax Error Repair for Discrete Controller Synthesis using Large Language Model
Heterogeneous Graph Neural Network for Personalized Session-Based Recommendation with User-Session Constraints
Independent Learning in Stochastic Games
Least-Squares on the Real Symplectic Group
On the Optimization of BitTorrent-Like Protocols for Interactive On-Demand Streaming Systems
A Generalized Dempster-Shafer Evidence Theory
A Heterogeneous Graph Learning Model for Cyber-Attack Detection
Universal Model for Multi-Domain Medical Image Retrieval
Direct Preference Knowledge Distillation for Large Language Models
Locally Differentially Private Graph Clustering via the Power Iteration Method
Towards Scale-Invariant Graph-related Problem Solving by Iterative Homogeneous Graph Neural Networks
Multi-Objective Preference Optimization: Improving Human Alignment of Generative Models
Random Subspace Cubic-Regularization Methods, with Applications to Low-Rank Functions
Distilling Adversarial Prompts from Safety Benchmarks: Report for the Adversarial Nibbler Challenge
FD-Net: An Unsupervised Deep Forward-Distortion Model for Susceptibility Artifact Correction in EPI
Quantifying and Explaining Machine Learning Uncertainty in Predictive Process Monitoring: An Operations Research Perspective
Predictive online optimisation with applications to optical flow
About Fibonacci trees III: multiple Fibonacci trees
Low-complexity and High-performance Receive Beamforming for Secure Directional Modulation Networks against an Eavesdropping-enabled Full-duplex Attacker
Practical Verified Computation with Streaming Interactive Proofs
Low-pass-filter-based shock response spectrum and the evaluation method of transmissibility between equipment and sensitive components interfaces
Knowledge distillation from multi-modal to mono-modal segmentation networks
Chebyshev Pseudospectral Method for Nonlinear Stabilization using Control Contraction Metrics
Market Share Indicates Quality
Technical note on calibrating vision-language models under covariate shift
Data Augmentation Based Malware Detection using Convolutional Neural Networks
MDS and AMDS symbol-pair codes are constructed from repeated-root codes
davos: a Python "smuggler" for constructing lightweight reproducible notebooks
Quantum Masked Autoencoders for Vision Learning
Self-Supervised Learning for Image Super-Resolution and Deblurring
Can Finetuing LLMs on Small Human Samples Increase Heterogeneity, Alignment, and Belief-Action Coherence?
OD3: Optimization-free Dataset Distillation for Object Detection
Preempting to Minimize Age of Incorrect Information under Random Delay
Multiscale socio-ecological networks in the age of information
Fast model selection by limiting SVM training times
Variants of Tagged Sentential Decision Diagrams
Extremum Seeking-based Iterative Learning Model Predictive Control (ESILC-MPC)
What makes an entity salient in discourse?
Stopping Criteria for Iterative Decoding based on Mutual Information
EmbodiedVSR: Dynamic Scene Graph-Guided Chain-of-Thought Reasoning for Visual Spatial Tasks
A Hierarchical Emotion Regulated Sensorimotor Model: Case Studies
Thermodynamically Consistent Modeling and Stable ALE Approximations of Reactive Semi-Permeable Interfaces
Knowing Who Knows What: Designing Socially Assistive Robots with Transactive Memory System
A Real-Time System for Scheduling and Managing UAV Delivery in Urban
GREATERPROMPT: A Unified, Customizable, and High-Performing Open-Source Toolkit for Prompt Optimization
KARMA: Leveraging Multi-Agent LLMs for Automated Knowledge Graph Enrichment
An Ensemble 1D-CNN-LSTM-GRU Model with Data Augmentation for Speech Emotion Recognition
Prompt Injection as an Emerging Threat: Evaluating the Resilience of Large Language Models
Instance-Wise Adaptive Sampling for Dataset Construction in Approximating Inverse Problem Solutions
Deep Learning for Cross-Technology Communication Design
Large Language Models Suffer From Their Own Output: An Analysis of the Self-Consuming Training Loop
Parallelism Via Concurrency at Multiple Levels
A Physics-driven GraphSAGE Method for Physical Process Simulations Described by Partial Differential Equations
Wireless Information-Theoretic Security - Part II: Practical Implementation
Recovering Homography from Camera Captured Documents using Convolutional Neural Networks
Exploring the Feasibility of Deep Learning Techniques for Accurate Gender Classification from Eye Images
A Logic for Non-Deterministic Parallel Abstract State Machines
CAMS: Towards Compositional Zero-Shot Learning via Gated Cross-Attention and Multi-Space Disentanglement
Fundamental Limits of Byzantine Agreement
On The Weight Distribution of Fixed-Rate Raptor Codes
Early Stratification of Patients at Risk for Postoperative Complications after Elective Colectomy
Decoding Complexity: Exploring Human-AI Concordance in Qualitative Coding
Distributed Multitask Learning
SurfR: Surface Reconstruction with Multi-scale Attention
A Java Data Security Framework (JDSF) and its Case Studies
Over-the-Air Time-Frequency Synchronization in Distributed ISAC Systems
Future Events as Backdoor Triggers: Investigating Temporal Vulnerabilities in LLMs
From Sazonov's Non-Dcpo Natural Domains to Closed Directed-Lub Partial Orders
Petrarch 2 : Petrarcher
Ancillary Services Acquisition Model: considering market interactions in policy design
MIGA: A Unified Multi-task Generation Framework for Conversational Text-to-SQL
Proposed System for data hiding using Cryptography and Steganography Proposed System for data hiding using Cryptography and Steganography
Autonomous Navigation and Collision Avoidance for Mobile Robots: Classification and Review
More than A Point: Capturing Uncertainty with Adaptive Affordance Heatmaps for Spatial Grounding in Robotic Tasks
Numerical approximation of the stochastic heat equation with a distributional reaction term
On fine-tuning of Autoencoders for Fuzzy rule classifiers
Multiscale Memory Comparator Transformer for Few-Shot Video Segmentation
Bayesian Graphical Entity Resolution Using Exchangeable Random Partition Priors
LEAP:D - A Novel Prompt-based Approach for Domain-Generalized Aerial Object Detection
Vision based Pedestrian Potential Risk Analysis based on Automated Behavior Feature Extraction for Smart and Safe City
The complexity of reverse engineering problems for conjunctive queries
Distilling Transformers into Simple Neural Networks with Unlabeled Transfer Data
The Dragon Hatchling: The Missing Link between the Transformer and Models of the Brain
The Social Cost of Growth: Evaluating GMV-Centric and Welfare-Centric Strategies in Online Food Delivery Platforms
Self Balancing Neural Network: A Novel Method to Estimate Average Treatment Effect
Zyda-2: a 5 Trillion Token High-Quality Dataset
Neurobiber: Fast and Interpretable Stylistic Feature Extraction
Anomalous Situation Detection in Complex Scenes
A mean-field games laboratory for generative modeling
Analytic Performance Modeling and Analysis of Detailed Neuron Simulations
The Cultural Psychology of Large Language Models: Is ChatGPT a Holistic or Analytic Thinker?
Chemical Power for Microscopic Robots in Capillaries
Curve Tracking Control for Legged Locomotion in Horizontal Plane
OpenRSD: Towards Open-prompts for Object Detection in Remote Sensing Images
Dehazing Remote Sensing and UAV Imagery: A Review of Deep Learning, Prior-based, and Hybrid Approaches
PixFoundation: Are We Heading in the Right Direction with Pixel-level Vision Foundation Models?
Unsupervised Cycle-consistent Generative Adversarial Networks for Pan-sharpening
SANA-Video: Efficient Video Generation with Block Linear Diffusion Transformer
Learning logic programs by discovering where not to search
Learning Pivoting Manipulation with Force and Vision Feedback Using Optimization-based Demonstrations
Hierarchical Causal Bandit
Fast Inference for Augmented Large Language Models
Detect Toxic Content to Improve Online Conversations
MixedGaussianAvatar: Realistically and Geometrically Accurate Head Avatar via Mixed 2D-3D Gaussian Splatting
A Quadratic Time-Space Tradeoff for Unrestricted Deterministic Decision Branching Programs
DIOR: Dataset for Indoor-Outdoor Reidentification - Long Range 3D/2D Skeleton Gait Collection Pipeline, Semi-Automated Gait Keypoint Labeling and Baseline Evaluation Methods
Programming Technologies for the Development of Web-Based Platform for Digital Psychological Tools
ICT Sector Greenhouse Gas Emissions - Issues and Trends
Delaunay-Rips filtration: a study and an algorithm
Invariant Center Power and Elliptic Loci of Poncelet Triangles
Towards Implicit Aggregation: Robust Image Representation for Place Recognition in the Transformer Era
Accent-Invariant Automatic Speech Recognition via Saliency-Driven Spectrogram Masking
Images in Discrete Choice Modeling: Addressing Data Isomorphism in Multi-Modality Inputs
Balance properties of Arnoux-Rauzy words
3D Surface Reconstruction of Underwater Objects
Stochastic Motion Planning as Gaussian Variational Inference: Theory and Algorithms
Pressmatch: Automated journalist recommendation for media coverage with Nearest Neighbor search
Logos as a Well-Tempered Pre-train for Sign Language Recognition
Predicting Remaining Useful Life using Time Series Embeddings based on Recurrent Neural Networks
A Lorentz-Equivariant Transformer for All of the LHC
Tensor Decomposition for Multi-agent Predictive State Representation
Robustness Disparities in Commercial Face Detection
Residual Sparsity Connection Learning for Efficient Video Super-Resolution
Model order reduction of layered waveguides via rational Krylov fitting
ZKPs: Does This Make The Cut? Recent Advances and Success of Zero-Knowledge Security Protocols
On the Diversity of Synthetic Data and its Impact on Training Large Language Models
An Extended Network Coding Opportunity Discovery Scheme in Wireless Networks
Prompt-Guided Dual Latent Steering for Inversion Problems
Extensible Post Quantum Cryptography Based Authentication
Choreographies with Secure Boxes and Compromised Principals
UniRAG: Universal Retrieval Augmentation for Multi-Modal Large Language Models
Jointly Optimal Channel and Power Assignment for Dual-Hop Multi-channel Multi-user Relaying
Experimental demonstration of a robust training method for strongly defective neuromorphic hardware
Intrinsic Stability: Global Stability of Dynamical Networks and Switched Systems Resilient to any Type of Time-Delays
A trainable manifold for accurate approximation with ReLU Networks
The State of Computational Science in Fission and Fusion Energy
Higher Order Unfitted Space-Time Methods for Transport Problems
A hypergeometric test interpretation of a common tf-idf variant
Integrals of Legendre polynomials and approximations
The Evolution of Neural Network-Based Chart Patterns: A Preliminary Study
Bibliometric analysis of the world scientific production in Chemical Engineering during 2000-2011. Part 2: Analysis of the 1, 000 most cited publications
Grouping the executables to detect malware with high accuracy
Beyond Moore-Penrose Part II: The Sparse Pseudoinverse
Communication: Words and Conceptual Systems
Defending a City from Multi-Drone Attacks: A Sequential Stackelberg Security Games Approach
Equality cases in the Anantharam-Jog-Nair inequality
Reliable Mining of Automatically Generated Test Cases from Software Requirements Specification (SRS)
Influential Node Ranking in Complex Networks Using A Randomized DynamicsSensitive Approach
Analyzing User Perceptions of Large Language Models (LLMs) on Reddit: Sentiment and Topic Modeling of ChatGPT and DeepSeek Discussions
LightSC: The Making of a Usable Security Classification Tool for DevSecOps
MoveLight: Enhancing Traffic Signal Control through Movement-Centric Deep Reinforcement Learning
Classes of Full-Duplex Channels with Capacity Achieved Without Adaptation
MT-NAM: An Efficient and Adaptive Model for Epileptic Seizure Detection
Active-Passive Federated Learning for Vertically Partitioned Multi-view Data
Large Language Models are Inconsistent and Biased Evaluators
A Linear-Time Algorithm for Trust Region Problems
BERT-Based Approach for Automating Course Articulation Matrix Construction with Explainable AI
Gender-Neutral Machine Translation Strategies in Practice
Language, logic and ontology: uncovering the structure of commonsense knowledge
LibriSQA: Advancing Free-form and Open-ended Spoken Question Answering with a Novel Dataset and Framework
On the complexity of All ε-Best Arms Identification
Automated Formal Synthesis of Lyapunov Neural Networks
Efficiency optimization of large-scale language models based on deep learning in natural language processing tasks
Detecting multiple change-points in the time-varying Ising model
Waveforms for xG Non-stationary Channels
UniverSLU: Universal Spoken Language Understanding for Diverse Classification and Sequence Generation Tasks with a Single Network
Probabilistic SVM/GMM Classifier for Speaker-Independent Vowel Recognition in Continues Speech
Greedy SLIM: A SLIM-Based Approach For Preference Elicitation
Think Before You Segment: An Object-aware Reasoning Agent for Referring Audio-Visual Segmentation
Macro-Action-Based Multi-Agent/Robot Deep Reinforcement Learning under Partial Observability
RaMen: Multi-Strategy Multi-Modal Learning for Bundle Construction
DeepFlash: Turning a Flash Selfie into a Studio Portrait
Constrained L p Approximation of Shape Tensors and its Role for the Determination of Shape Gradients
Bayesian Approach to Linear Bayesian Networks
Fault Detection for Non-Condensing Boilers using Simulated Building Automation System Sensor Data
Biased Stochastic Gradient Descent for Conditional Stochastic Optimization
Genomic Imaging Based on Codongrams and a^2grams
Generalized Spherical Neural Operators: Green's Function Formulation
Which Design Decisions in AI-enabled Mobile Applications Contribute to Greener AI?
Resource-Efficient Seamless Transitions For High-Performance Multi-hop UAV Multicasting
Kinodynamic RRT*: Optimal Motion Planning for Systems with Linear Differential Constraints
SNM-Net: A Universal Framework for Robust Open-Set Gas Recognition via Spherical Normalization and Mahalanobis Distance
HD-Bind: Encoding of Molecular Structure with Low Precision, Hyperdimensional Binary Representations
Characterization of circulant graphs having perfect state transfer
Towards Fully Declarative Program Analysis via Source Code Transformation
Recent Advances in Automated Question Answering In Biomedical Domain