yusuke1997/dblp-id-title huggingface dataset:
A Benchmark for Maximum Cut: Towards Standardization of the Evaluation of Learned Heuristics for Combinatorial Optimization
3DSSD: Point-based 3D Single Stage Object Detector
Unix Memory Allocations are Not Poisson
Automated Statistical and Machine Learning Platform for Biological Research
Un marco conceptual para la generación de requerimientos de software de calidad
Uncovering the spatial structure of mobility networks
Object counting from aerial remote sensing images: application to wildlife and marine mammals
Online and Offline Evaluations of Collaborative Filtering and Content Based Recommender Systems
AMMUNet: Multi-Scale Attention Map Merging for Remote Sensing Image Segmentation
Trade-offs in Decentralized Multi-Antenna Architectures: The WAX Decomposition
An Algorithm for Recommending Groceries Based on an Item Ranking Method
Schroedinger Eigenmaps for the Analysis of Bio-Medical Data
Machine Learning and Deep Learning Algorithms for Bearing Fault Diagnostics - A Comprehensive Review
Improved Approximations for Multiprocessor Scheduling Under Uncertainty
Cross-City Matters: A Multimodal Remote Sensing Benchmark Dataset for Cross-City Semantic Segmentation using High-Resolution Domain Adaptation Networks
SHA-CNN: Scalable Hierarchical Aware Convolutional Neural Network for Edge AI
ReSeFlow: Rectifying SE(3)-Equivariant Policy Learning Flows
Are VLMs Really Blind
Implementing and Breaking Load-Link / Store-Conditional on an ARM-Based System
FPGA design of a cdma2000 turbo decoder
On the area of optimal parameters choice for the numerical method of non-stationary hydrodynamics problem with feature
Fast IDS Computing System Method and its Memristor Crossbar-based Hardware Implementation
Domain Adaptive SAR Wake Detection: Leveraging Similarity Filtering and Memory Guidance
And this is where we fu***d up! Lessons learned from Participatory Design in Digital Civic Initiatives
Comparing Human and AI Performance in Visual Storytelling through Creation of Comic Strips: A Case Study
Implementing Ranking-Based Semantics in ConArg: a Preliminary Report
Review of Action Recognition and Detection Methods
Analyzing Sustainability Messaging in Large-Scale Corporate Social Media
Kernel-Based Testing for Single-Cell Differential Analysis
SONAR: Joint Architecture and System Optimization Search
Representative sets and irrelevant vertices: New tools for kernelization
Evaluating Machine Learning Classifier Approaches, and their Accuracy for the Detection of Cyberattacks on 5G IoT Systems
Multi-Microgrid Collaborative Optimization Scheduling Using an Improved Multi-Agent Soft Actor-Critic Algorithm
Toward a Millimeter-Scale Tendon-Driven Continuum Wrist with Integrated Gripper for Microsurgical Applications
Urban Change Detection by Fully Convolutional Siamese Concatenate Network with Attention
Distilling Named Entity Recognition Models for Endangered Species from Large Language Models
Two Flow-Based Approaches for the Static Relocation Problem in Carsharing Systems
Quasilinearization with Regularizing Tensor Paraproducts
Super-Efficient Spatially Adaptive Contrast Enhancement Algorithm for Superficial Vein Imaging
Non-cooperative rational synthesis problem for probabilistic strategies
Would You Rely on an Eerie Agent? A Systematic Review of the Impact of the Uncanny Valley Effect on Trust in Human-Agent Interaction
Decentralized Learning of Generative Adversarial Networks from Multi-Client Non-iid Data
Beyond the Expiry Date: Uncovering Hidden Value in Functional Drink Waste for a Circular Future
Low Pass Filter for Anti-aliasing in Temporal Action Localization
Contextual Weisfeiler-Lehman Graph Kernel For Malware Detection
AntEval: Quantitatively Evaluating Informativeness and Expressiveness of Agent Social Interactions
Cellular LTE and Solar Energy Harvesting for Long-Term, Reliable Urban Sensor Networks: Challenges and Opportunities
Shannon Information Entropy in Heavy-ion Collisions
Unsupervised Cross-Domain Regression for Fine-grained 3D Game Character Reconstruction
Semantic Interpretation and Validation of Graph Attention-based Explanations for GNN Models
Incomplete Lineage Sorting: Consistent Phylogeny Estimation From Multiple Loci
Constructive Equivariant Observer Design for Inertial Velocity-Aided Attitude
MA-COIR: Leveraging Semantic Search Index and Generative Models for Ontology-Driven Biomedical Concept Recognition
Learning Communication Policies for Different Follower Behaviors in a Collaborative Reference Game
Partial Optimal Transport for a Constant-Volume Lagrangian Mesh with Free Boundaries
MultiStream-LLM: Bridging Modalities for Robust Sign Language Translation
Deep Neural Networks for Swept Volume Prediction Between Configurations
MedDG: A Large-scale Medical Consultation Dataset for Building Medical Dialogue System
LMI Properties and Applications in Systems, Stability, and Control Theory
STAS: Adaptive Selecting Spatio-Temporal Deep Features for Improving Bias Correction on Precipitation
Report Cards: Qualitative Evaluation of Language Models Using Natural Language Summaries
Pressure Data-Driven Variational Multiscale Reduced Order Models
Solving the Maximum-Weight Connected Subgraph Problem to Optimality
Power sector models featuring individual BEV profiles: Assessing the time-accuracy trade-off
Tailored Source Code Transformations to Synthesize Computationally Diverse Program Variants
Improving the Reliability of LLMs: Combining CoT, RAG, Self-Consistency, and Self-Verification
Wireless Agentic AI with Retrieval-Augmented Multimodal Semantic Perception
Downward Collapse from a Weaker Hypothesis
Every child should have parents: a taxonomy refinement algorithm based on hyperbolic term embeddings
Generalized Dilation Neural Networks
BokehDepth: Enhancing Monocular Depth Estimation through Bokeh Generation
MambaLite-Micro: Memory-Optimized Mamba Inference on MCUs
Reachability of weakly nonlinear systems using Carleman linearization
Investigation of wind pressures on tall building under interference effects using machine learning techniques
Detecting Sub-Topic Correspondence through Bipartite Term Clustering
An Adaptive Finite Difference Method for Total Variation Minimization
Counting Steps: A New Approach to Objective Probability in Physics
Structured and Informed Probabilistic Modeling with the Thermodynamic Kolmogorov-Arnold Model
Calibration Attack: A Framework For Adversarial Attacks Targeting Calibration
Traffic-Redundancy Aware Network Design
Is DeepSeek a New Voice Among LLMs in Public Opinion Simulation?
Sequential Estimation of Convex Divergences using Reverse Submartingales and Exchangeable Filtrations
A Survey of Cross-domain Graph Learning: Progress and Future Directions
Network Topology Inference Using Information Cascades with Limited Statistical Knowledge
BadRAG: Identifying Vulnerabilities in Retrieval Augmented Generation of Large Language Models
Ambidextrous Degree Sequence Bounds for Pessimistic Cardinality Estimation
Token Masking Improves Transformer-Based Text Classification
Position: More Rigorous Software Engineering Would Improve Reproducibility in Machine Learning Research
AgentSME for Simulating Diverse Communication Modes in Smart Education
Spatial planning with constraints on translational distances between geometric objects
HateDebias: On the Diversity and Variability of Hate Speech Debiasing
Comparative Analysis of OpenAI GPT-4o and DeepSeek R1 for Scientific Text Categorization Using Prompt Engineering
Strong and Controllable Blind Image Decomposition
Geschlechtsübergreifende Maskulina im Sprachgebrauch Eine korpusbasierte Untersuchung zu lexemspezifischen Unterschieden
Optical Flow in Dense Foggy Scenes using Semi-Supervised Learning
Linear Array Network for Low-light Image Enhancement
Spaced seeds improve metagenomic classification
Robot Learning: A Tutorial
Geometrical congruence and efficient greedy navigability of complex networks
"Hang in There": Lexical and Visual Analysis to Identify Posts Warranting Empathetic Responses
Managing the Uncertainty in System Dynamics Through Distributionally Robust Stability-Constrained Optimization
Forecast Hedging and Calibration
RRAM-Based Analog Matrix Computing for Massive MIMO Signal Processing: A Review
PixelSteganalysis: Pixel-wise Hidden Information Removal with Low Visual Degradation
Prototype Learning for Explainable Regression
Shared Microexponents: A Little Shifting Goes a Long Way
Generalized Multivariate Signs for Nonparametric Hypothesis Testing in High Dimensions
A Generalized Bias-Variance Decomposition for Bregman Divergences
Sound propagation in realistic interactive 3D scenes with parameterized sources using deep neural operators
Ensemble Kalman Variational Objectives: Nonlinear Latent Trajectory Inference with A Hybrid of Variational Inference and Ensemble Kalman Filter
EASE: Practical and Efficient Safety Alignment for Small Language Models
How to Evaluate Trading Strategies: Single Agent Market Replay or Multiple Agent Interactive Simulation?
Logistic growth on networks: exact solutions for the SI model
Assertion Inferring Mutants
TRUST: A Decentralized Framework for Auditing Large Language Model Reasoning
PDExplain: Contextual Modeling of PDEs in the Wild
Online Learned Continual Compression with Stacked Quantization Module
A Quantum SMT Solver for Bit-Vector Theory
Predicting Adolescent Suicide Attempts with Neural Networks
Multi-View Industrial Anomaly Detection with Epipolar Constrained Cross-View Fusion
A Universal Banach-Bregman Framework for Stochastic Iterations: Unifying Stochastic Mirror Descent, Learning and LLM Training
Free-form Generation Enhances Challenging Clothed Human Modeling
Non-Bayesian Activity Detection, Large-Scale Fading Coefficient Estimation, and Unsourced Random Access with a Massive MIMO Receiver
SIT3: Code Summarization with Structure-Induced Transformer
From Shannon's Channel to Semantic Channel via New Bayes' Formulas for Machine Learning
Observer-Based Controller Design for Systems on Manifolds in Euclidean Space
EasySpec: Layer-Parallel Speculative Decoding for Efficient Multi-GPU Utilization
STICK: Spike Time Interval Computational Kernel, A Framework for General Purpose Computation using Neurons, Precise Timing, Delays, and Synchrony
GADS: A Super Lightweight Model for Head Pose Estimation
Efficient Near-Optimal Codes for General Repeat Channels
High-Content Digital Microscopy with Python
On The Linear Behaviour of the Throughput of IEEE 802.11 DCF in Non-Saturated Conditions
Error analysis for a viscoelastic phase separation model
Reduction in iron losses in Indirect Vector-Controlled IM Drive using FLC
Effect of Full Common Randomness Replication in Symmetric PIR on Graph-Based Replicated Systems
A Deep Convolutional Neural Network-based Model for Aspect and Polarity Classification in Hausa Movie Reviews
PERT: Pre-training BERT with Permuted Language Model
Ultra-Strong Gradient Diffusion MRI with Self-Supervised Learning for Prostate Cancer Characterization
Semi-Supervised Multi-Modal Medical Image Segmentation for Complex Situations
Prescriptive Process Monitoring Under Resource Constraints: A Reinforcement Learning Approach
Column-generation for a two-dimensional multi-criteria bin-packing problem
The Evolution of Probabilistic Price Forecasting Techniques: A Review of the Day-Ahead, Intra-Day, and Balancing Markets
Self-boosted Time-series Forecasting with Multi-task and Multi-view Learning
SBS Figures: Pre-training Figure QA from Stage-by-Stage Synthesized Images
WisPaper: Your AI Scholar Search Engine
SEE: See Everything Every Time - Adaptive Brightness Adjustment for Broad Light Range Images via Events
Beyond Greedy Search: Tracking by Multi-Agent Reinforcement Learning-based Beam Search
Using SLP Neural Network to Persian Handwritten Digits Recognition
Linear Compressed Pattern Matching for Polynomial Rewriting (Extended Abstract)
Polybasic Speculative Decoding Through a Theoretical Perspective
Empowering Large Scale Quantum Circuit Development: Effective Simulation of Sycamore Circuits
PANDA (Pedantic ANswer-correctness Determination and Adjudication): Improving Automatic Evaluation for Question Answering and Text Generation
Hallucination-Free? Assessing the Reliability of Leading AI Legal Research Tools
Low-High SNR Transition in Multiuser MIMO
Joint Transmit and Receive Beamforming for Multi-Relay MIMO-OFDMA Cellular Networks
DSRC & C-V2X Comparison for Connected and Automated Vehicles in Different Traffic Scenarios
VendiRL: A Framework for Self-Supervised Reinforcement Learning of Diversely Diverse Skills
Learning Combinations of Sigmoids Through Gradient Estimation
Surgical navigation systems based on augmented reality technologies
On DeepSeekMoE: Statistical Benefits of Shared Experts and Normalized Sigmoid Gating
AI-driven multi-omics integration for multi-scale predictive modeling of causal genotype-environment-phenotype relationships
Dynamic mapping from static labels: remote sensing dynamic sample generation with temporal-spectral embedding
A Simple but Effective Elaborative Query Reformulation Approach for Natural Language Recommendation
Tensor Golub Kahan based on Einstein product
Manifold Characteristics That Predict Downstream Task Performance
Finding Correspondences for Optical Flow and Disparity Estimations using a Sub-pixel Convolution-based Encoder-Decoder Network
CLIP-PAE: Projection-Augmentation Embedding to Extract Relevant Features for a Disentangled, Interpretable, and Controllable Text-Guided Image Manipulation
Optimization over bounded-rank matrices through a desingularization enables joint global and local guarantees
Convex optimization with p -norm oracles
Enhancing Medication Recommendation with LLM Text Representation
ConstellationNet: Reinventing Spatial Clustering through GNNs
A learning-based solution approach to the application placement problem in mobile edge computing under uncertainty
Safety Modulation: Enhancing Safety in Reinforcement Learning through Cost-Modulated Rewards
Descriptive complexity of the generalized spectra of graphs
STROKEVISION-BENCH: A Multimodal Video And 2D Pose Benchmark For Tracking Stroke Recovery
Enhanced ECG Arrhythmia Detection Accuracy by Optimizing Divergence-Based Data Fusion
V2Meow: Meowing to the Visual Beat via Music Generation
WASE: Learning When to Attend for Speaker Extraction in Cocktail Party Environments
STGlow: A Flow-based Generative Framework with Dual Graphormer for Pedestrian Trajectory Prediction
Quantitative Evaluation of Endoscopic SLAM Methods: EndoSLAM Dataset
High Spectral-Efficiency, Ultra-low MIMO SDM Transmission over a Field-Deployed Multi-Core OAM Fiber
MeixnerNet: Adaptive and Robust Spectral Graph Neural Networks with Discrete Orthogonal Polynomials
Topic Extraction of Crawled Documents Collection using Correlated Topic Model in MapReduce Framework
The Benefits of Model-Driven Development in Institutional Repositories - Los Beneficios del Desarrollo Dirigido por Modelos en los Repositorios Institucionales
NL2Plan: Robust LLM-Driven Planning from Minimal Text Descriptions
NeuroBench: Advancing Neuromorphic Computing through Collaborative, Fair and Representative Benchmarking
Comparing Reinforcement Learning and Human Learning using the Game of Hidden Rules
RE-Bench: Evaluating frontier AI R&D capabilities of language model agents against human experts
Ontology - Based Dynamic Business Process Customization
Plane Decompositions as Tools for Approximation
An Equivariance Theorem with Applications to Renaming (Preliminary Version)
Anti-Sexism Alert System: Identification of Sexist Comments on Social Media Using AI Techniques
Shannon Weights for binary dynamical recurrent sources of zero entropy
Towards Using Multiple Iterated, Reproduced, and Replicated Experiments with Robots (MIRRER) for Evaluation and Benchmarking
Size-constrained Weighted Ancestors with Applications
Joint Masked Reconstruction and Contrastive Learning for Mining Interactions Between Proteins
Multilevel Robustness for 2D Vector Field Feature Tracking, Selection, and Comparison
SeisFusion: Constrained Diffusion Model with Input Guidance for 3D Seismic Data Interpolation and Reconstruction
History Playground: A Tool for Discovering Temporal Trends in Massive Textual Corpora
Inverse Coefficient Problem for One-Dimensional Subdiffusion with Data on Disjoint Sets in Time
Decoding Dynamic Visual Experience from Calcium Imaging via Cell-Pattern-Aware SSL
Learning to Reconstruct Signals From Binary Measurements
Pre-training in Deep Reinforcement Learning for Automatic Speech Recognition
Fourier Transform Approximation as an Auxiliary Task for Image Classification
Digital Forensic Readiness Implementation in SDN: Issues and Challenges
Improved Stein Variational Gradient Descent with Importance Weights
Review on Computer Vision Techniques in Emergency Situation
Topology Optimization for Multi-Axis Additive Manufacturing Considering Overhang and Anisotropy
The Semantic Brand Score
GLADE: Gradient Loss Augmented Degradation Enhancement for Unpaired Super-Resolution of Anisotropic MRI
HARMONIC: A Multimodal Dataset of Assistive Human-Robot Collaboration
Deep Image: A precious image based deep learning method for online malware detection in IoT Environment
Universality in Polytope Phase Transitions and Message Passing Algorithms
Decentralized Restless Bandit with Multiple Players and Unknown Dynamics
Learning Sequences of Controllers for Complex Manipulation Tasks
Cross-Layer Modeling of Randomly Spread CDMA Using Stochastic Network Calculus
Constant Envelope Signaling in MIMO Channels
Examining GPT's Capability to Generate and Map Course Concepts and Their Relationship
H-Consistency Estimation Error of Surrogate Loss Minimizers
Digital Health and Indoor Air Quality: An IoT-Driven Human-Centred Visualisation Platform for Behavioural Change and Technology Acceptance
Human Digital Twins in Personalized Healthcare: An Overview and Future Perspectives
The Continuous Joint Replenishment Problem is Strongly NP-Hard
Defining and composing big state machines
Long-Distance Field Demonstration of Imaging-Free Drone Identification in Intracity Environments
From Data Disclosure to Privacy Nudges: A Privacy-aware and User-centric Personal Data Management Framework
Ananke: A Python Package For Causal Inference Using Graphical Models
TTT4Rec: A Test-Time Training Approach for Rapid Adaption in Sequential Recommendation
CORRIDRONE: Corridors for Drones, An Adaptive On-Demand Multi-Lane Design and Testbed
Virtual Community: An Open World for Humans, Robots, and Society
A Memetic Algorithm for the Minimum Conductance Graph Partitioning Problem
Sliced-Wasserstein-based Anomaly Detection and Open Dataset for Localized Critical Peak Rebates
A Novel Proof for the DoF Region of the MIMO Broadcast Channel with No CSIT
ScanSSD: Scanning Single Shot Detector for Mathematical Formulas in PDF Document Images
OSLAT: Open Set Label Attention Transformer for Medical Entity Span Extraction
Neural Chronos ODE: Unveiling Temporal Patterns and Forecasting Future and Past Trends in Time Series Data
Axiomatic Tools versus Constructive approach to Unconventional Algorithms
Distributed Stability Conditions for Power Systems with Heterogeneous Nonlinear Bus Dynamics
ComplexityMeasures.jl: scalable software to unify and accelerate entropy and complexity timeseries analysis
Bear the Query in Mind: Visual Grounding with Query-conditioned Convolution
ModSCAN : Measuring Stereotypical Bias in Large Vision-Language Models from Vision and Language Modalities
Screening Mammogram Classification with Prior Exams
Adversarially Guided Self-Play for Adopting Social Conventions
ConvKGYarn: Spinning Configurable and Scalable Conversational Knowledge Graph QA datasets with Large Language Models
Leveraging Large Language Models for DRL-Based Anti-Jamming Strategies in Zero Touch Networks
Online Hyper-parameter Learning for Auto-Augmentation Strategy
Randomized Forward Mode Gradient for Spiking Neural Networks in Scientific Machine Learning
Vision and Contact based Optimal Control for Autonomous Trocar Docking
Computation vs. Communication Scaling for Future Transformers on Future Hardware
Mid-Air Drawing of Curves on 3D Surfaces in AR/VR
Where Are The Gaps? A Systematic Mapping Study of Infrastructure as Code Research
Attribute Efficient Linear Regression with Data-Dependent Sampling
Applying of The new Integral KAJ Transform in Cryptography
Conformal Transformation of Kernels: A Geometric Perspective on Text Classification
Uplink Channel Estimation and Signal Extraction Against Malicious Intelligent Reflecting Surface in Massive MIMO System
Pretraining with hierarchical memories: separating long-tail and common knowledge
A Mathematical Definition of Particle Methods
The Impact of DoS Attacks onResource-constrained IoT Devices: A Study on the Mirai Attack
OmniArt: Multi-task Deep Learning for Artistic Data Analysis
Learning Algorithmic Solutions to Symbolic Planning Tasks with a Neural Computer
Personalized Online Machine Learning
Data-driven Solution of Stochastic Differential Equations Using Maximum Entropy Basis Functions
FIRM: Federated In-client Regularized Multi-objective Alignment for Large Language Models
Improvements to time bracketed authentication
Simultaneous Position and Orientation Planning of Nonholonomic Multi-Robot Systems: A Dynamic Vector Field Approach
Autonomic Resilient Internet-of-Things(IoT)Management
Language Bias in Information Retrieval: The Nature of the Beast and Mitigation Methods
Performances Evaluation of Enhanced Basic Time Space Priority combined with an AQM
Perception and Decision-Making of Autonomous Systems in the Era of Learning: An Overview
Suphx: Mastering Mahjong with Deep Reinforcement Learning
An Optimal-Storage Approach to Semidefinite Programming using Approximate Complementarity
Reactive Exploration to Cope with Non-Stationarity in Lifelong Reinforcement Learning
Diffusion-based Generative Modeling with Discriminative Guidance for Streamable Speech Enhancement
Amodal Segmentation for Laparoscopic Surgery Video Instruments
Leveraging 2D Information for Long-term Time Series Forecasting with Vanilla Transformers
Enhancing Next-Generation Language Models with Knowledge Graphs: Extending Claude, Mistral IA, and GPT-4 via KG-BERT
Inter-sphere consistency-based method for camera-projector pair calibration
Sparse Vector Coding for Ultra-Reliable and Low Latency Communications
Participation anticipating in elections using data mining methods
HSANET: A Hybrid Self-Cross Attention Network For Remote Sensing Change Detection
Machine learning-based optimization workflow of the homogeneity of spunbond nonwovens with human validation
Robustness and uncertainty of direct numerical simulation under the influence of rounding and noise
Value, Representation, Information and Communication
Global Extreme Heat Forecasting Using Neural Weather Models
ROSA Analyser: An automatized approach to analyse processes of ROSA
Realizable Rate Distortion Function and Bayesian FIltering Theory
Proceedings International Workshop on Strategies in Rewriting, Proving, and Programming, IWS 2010, Edinburgh, UK, 9th July 2010
Improved Soft Actor-Critic: Mixing Prioritized Off-Policy Samples with On-Policy Experience
Convolutional Neural Network-Based Image Watermarking using Discrete Wavelet Transform
Self-supervised learning for crystal property prediction via denoising
Machine learning approach for segmenting glands in colon histology images using local intensity and texture features
PET-MAD, a universal interatomic potential for advanced materials modeling
TOPCAT Visualisation over the Web
Midpoint Regularization: from High Uncertainty Training to Conservative Classification
A Comprehensive Review on Tree Detection Methods Using Point Cloud and Aerial Imagery from Unmanned Aerial Vehicles
Visual Adversarial Examples Jailbreak Large Language Models
Eye Tracking for Tele-robotic Surgery: A Comparative Evaluation of Head-worn Solutions
On the Distance between Timed Automata
Real-time Bidding Strategy in Display Advertising: An Empirical Analysis
LMM-Incentive: Large Multimodal Model-based Incentive Design for User-Generated Content in Web 3.0
Selecting Continuous Life-Like Cellular Automata for Halting Unpredictability: Evolving for Abiogenesis
Image Annotation using Multi-Layer Sparse Coding