yusuke1997/dblp-id-title huggingface dataset:
On the Interconnections of Calibration, Quantification, and Classifier Accuracy Prediction under Dataset Shift
Defining definition: a Text mining Approach to Define Innovative Technological Fields
EgoEdit: Dataset, Real-Time Streaming Model, and Benchmark for Egocentric Video Editing
HybridRAM: The first quantum approach for key recovery attacks on Rainbow
Turning AI Data Centers into Grid-Interactive Assets: Results from a Field Demonstration in Phoenix, Arizona
Order-theoretic trees: monadic second-order descriptions and regularity
Identifying Fabricated Networks within Authorship-for-Sale Enterprises
Real-Time Monitoring of Undirected Networks: Articulation Points, Bridges, and Connected and Biconnected Components
Multimodal Adaptive Fusion of Face and Gait Features using Keyless attention based Deep Neural Networks for Human Identification
A Finite Difference Approximation of Second Order Regularization of Neural-SDFs
Deep Learning for Finger Vein Recognition: A Brief Survey of Recent Trend
Maximally Atomic Languages
Category Aware Explainable Conversational Recommendation
Optimal Hyperparameters for Deep LSTM-Networks for Sequence Labeling Tasks
Prediction of Probabilistic Transient Stability Using Support Vector Machine
A Report on the Cost of Data Privacy
Graph Residual based Method for Molecular Property Prediction
Tubes & Bubbles - Topological confinement of YouTube recommendations
Enhancing Sound Texture in CNN-Based Acoustic Scene Classification
Marine Animal Classification with Correntropy Loss Based Multi-view Learning
Benchmarking Semi-supervised Federated Learning
Wireless Semantic Communication: A Networking Perspective
Preferential Attachment in Online Networks: Measurement and Explanations
MetricNet: Recovering Metric Scale in Generative Navigation Policies
An interpretable machine learning framework for modelling human decision behavior
NoSQL Databases
Improving Iterative Gaussian Processes via Warm Starting Sequential Posteriors
Leveraging High-Dimensional Side Information for Top-N Recommendation
Split-Extended LDPC codes for coded cooperation
A Note on Covering Young Diagrams with Applications to Local Dimension of Posets
Straggler Mitigation and Latency Optimization in Blockchain-based Hierarchical Federated Learning
Library transfer between distinct Laser-Induced Breakdown Spectroscopy systems with shared standards
CoughTrigger: Earbuds IMU Based Cough Detection Activator Using An Energy-efficient Sensitivity-prioritized Time Series Classifier
Challenges of Artificial Intelligence - From Machine Learning and Computer Vision to Emotional Intelligence
What's Decidable about Discrete Linear Dynamical Systems?
Smart systems, the fourth industrial revolution and new challenges in distributed computing
Self-supervised Pre-training Reduces Label Permutation Instability of Speech Separation
Directed Test Program Generation for JIT Compiler Bug Localization
A Closer Look at Personalized Fine-Tuning in Heterogeneous Federated Learning
CPPF: A contextual and post-processing-free model for automatic speech recognition
Multi-source Pseudo-label Learning of Semantic Segmentation for the Scene Recognition of Agricultural Mobile Robots
Illuminating LLM Coding Agents: Visual Analytics for Deeper Understanding and Enhancement
Asynchronous Rumour Spreading in Social and Signed Networks
Reusing Trained Layers of Convolutional Neural Networks to Shorten Hyperparameters Tuning Time
Improve3C: Data Cleaning on Consistency and Completeness with Currency
Impact of number of elements on the directivity of planar array of monopole antenna
Physical significance of artificial numerical noise in direct numerical simulation of turbulence
Prompting Video-Language Foundation Models with Domain-specific Fine-grained Heuristics for Video Question Answering
Tiny Transfer Learning: Towards Memory-Efficient On-Device Learning
Extension of Rough Set Based on Positive Transitive Relation
Script-centric behavior understanding for assisted autism spectrum disorder diagnosis
Generalized Few-Shot Semantic Segmentation
Introduction to Random Boolean Networks
Solving Currency Arbitrage Problems using D-Wave Advantage2 Quantum Annealer
Cross-genre Document Retrieval: Matching between Conversational and Formal Writings
FIF-UNet: An Efficient UNet Using Feature Interaction and Fusion for Medical Image Segmentation
Academic Performance and Behavioral Patterns
Bridging Simulation and Experiment: A Self-Supervised Domain Adaptation Framework for Concrete Damage Classification
Areas of Improvement for Autonomous Vehicles: A Machine Learning Analysis of Disengagement Reports
On performance bound estimation in NMPC with time-varying terminal cost
WISA: World Simulator Assistant for Physics-Aware Text-to-Video Generation
Nonlinear memory functions capture and explain dynamical behaviours
An Implementation of a Dual-Processor System on FPGA
Two-wheel-driven Electric Superbike Powertrain Optimization
Machine Learning on Cloud with Blockchain: A Secure, Verifiable and Fair Approach to Outsource the Linear Regression
Multi-Context Systems: Dynamics and Evolution (Pre-Print of "Multi-context systems in dynamic environments")
The reverse greedy algorithm for the metric k-median problem
WeCromCL: Weakly Supervised Cross-Modality Contrastive Learning for Transcription-only Supervised Text Spotting
Band Splitting Permutations for Spatially Coupled LDPC Codes Enhancing Burst Erasure Immunity
On the Stability of Random Multiple Access with Feedback Exploitation and Queue Priority
VietBinoculars: A Zero-Shot Approach for Detecting Vietnamese LLM-Generated Text
Superconvergent Non-Polynomial Approximations
Pourquoi existe-t-il de nombreux paradigmes de programmation ?
Deep Learning Meets Mechanism Design: Key Results and Some Novel Applications
The Empirical Network Analysis of Website Visitors
Performance of high-order Godunov-type methods in simulations of astrophysical low Mach number flows
Leveraging Knowledge Graphs and LLM Reasoning to Identify Operational Bottlenecks for Warehouse Planning Assistance
AnomalyLMM: Bridging Generative Knowledge and Discriminative Retrieval for Text-Based Person Anomaly Search
Centralized Intermediation in a Decentralized Web3 Economy: Value Accrual and Extraction
Local Magnification for Data and Feature Augmentation
On using Product-Specific Schema.org from Web Data Commons: An Empirical Set of Best Practices
Binaural Target Speaker Extraction using HRTFs and a Complex-Valued Neural Network
Characterizing Physical Memory Fragmentation
Segmentation Ability Map: Interpret deep features for medical image segmentation
Event Stream based Human Action Recognition: A High-Definition Benchmark Dataset and Algorithms
Algorithms for ranking and unranking the combinatorial set of RNA secondary structures
Enhancing Automatic Chord Recognition through LLM Chain-of-Thought Reasoning
Causal Fingerprints of AI Generative Models
When In-Memory Computing is Slower than Heavy Disk Usage
Biological Robots: Perspectives on an Emerging Interdisciplinary Field
Algorithms for Collaborative Harmonization
Once upon a time step: A closed-loop approach to robust MPC design
PDeepPP:A Deep learning framework with Pretrained Protein language for peptide classification
Multiuser Rate-Diverse Network-Coded Multiple Access
Learning to Associate Words and Images Using a Large-scale Graph
Cryptocurrency Price Prediction using Twitter Sentiment Analysis
Never Mind The No-Ops: Faster and Less Volatile Simulation Modelling of Co-Evolutionary Species Interactions via Spatial Cyclic Games
Nanoscale photonic network for solution searching and decision making problems
T-SHRED: Symbolic Regression for Regularization and Model Discovery with Transformer Shallow Recurrent Decoders
MedDIFT: Multi-Scale Diffusion-Based Correspondence in 3D Medical Imaging
Boosting Vision-Language Models for Histopathology Classification: Predict all at once
Material Segmentation of Multi-View Satellite Imagery
Multi-modal Machine Learning Analysis of X-ray Absorption Near-Edge Spectra and Pair Distribution Functions: Performance and Interpretability towards Experimental Design
A Closed-Loop Personalized Learning Agent Integrating Neural Cognitive Diagnosis, Bounded-Ability Adaptive Testing, and LLM-Driven Feedback
Mid-Air Haptics in Aviation - creating the sensation of touch where there is nothing but thin air
The effect of approximate coarsest-level solves on the convergence of multigrid V-cycle methods
UniCat: Crafting a Stronger Fusion Baseline for Multimodal Re-Identification
A Coarse-to-Fine Model for 3D Pose Estimation and Sub-category Recognition
A Simulation Platform for Multi-tenant Machine Learning Services on Thousands of GPUs
Generating Synthetic Contrast-Enhanced Chest CT Images from Non-Contrast Scans Using Slice-Consistent Brownian Bridge Diffusion Network
MSHyper: Multi-Scale Hypergraph Transformer for Long-Range Time Series Forecasting
Revisiting the Prepositional-Phrase Attachment Problem Using Explicit Commonsense Knowledge
The Pitfalls of KV Cache Compression
MatLat: Material Latent Space for PBR Texture Generation
Robust robotic control on the neuromorphic research chip Loihi
Topics in asynchronous systems
Parametric roll oscillations of a hydrodynamic Chaplygin sleigh
Time augmented bond percolation mapping of spreading dynamics on networks
Disruptive Transformation of Artworks in Master-Disciple Relationships: The Case of Ukiyo-e Artworks
Client-Specific Anomaly Detection for Face Presentation Attack Detection
Interpretable Text Classification Using CNN and Max-pooling
CoVis: A Collaborative Framework for Fine-grained Graphic Visual Understanding
Diffusion Models for Cayley Graphs
Remote Sensing Image Scene Classification with Deep Neural Networks in JPEG 2000 Compressed Domain
A deep learning theory for neural networks grounded in physics
An Analysis on Ensemble Learning optimized Medical Image Classification with Deep Convolutional Neural Networks
Mobile App Tasks with Iterative Feedback (MoTIF): Addressing Task Feasibility in Interactive Visual Environments
Cornstarch: Distributed Multimodal Training Must Be Multimodality-Aware
Exponential Quantum Speed-ups for Semidefinite Programming with Applications to Quantum Learning
Learning from the Pros: Extracting Professional Goalkeeper Technique from Broadcast Footage
MCGS: Multiview Consistency Enhancement for Sparse-View 3D Gaussian Radiance Fields
A Social-aware Gaussian Pre-trained Model for Effective Cold-start Recommendation
Online Approximate Optimal Path-Following for a Kinematic Unicycle
Effects of Human Avatar Representation in Virtual Reality on Inter-Brain Connection
Asymptotic Properties of Likelihood Based Linear Modulation Classification Systems
An approach for combining transparency and motion assistance of a lower body exoskeleton
Skillful Subseasonal-to-Seasonal Forecasting of Extreme Events with a Multi-Sphere Coupled Probabilistic Model
An overview on the evaluated video retrieval tasks at TRECVID 2022
Conjunctive Queries with Output Access Patterns under Updates
'Surprised, Shocked, Worried': User Reactions to Facebook Data Collection from Third Parties
Unbiased Estimations based on Binary Classifiers: A Maximum Likelihood Approach
Black holes and the loss landscape in machine learning
A symbolic Perl algorithm for the unification of Nahuatl word spellings
ByteComposer: a Human-like Melody Composition Method based on Language Model Agent
LLMSTEP: LLM proofstep suggestions in Lean
Listing Cliques from Smaller Cliques
On-chip calibration of Microscale-Thermocouples for Precise Temperature Measurement
Reliability evaluation of Cayley graph generated by unicyclic graphs based on cyclic fault pattern
Critical Points for Two-view Triangulation
Compressed Communication for Distributed Training: Adaptive Methods and System
ComposeAnyone: Controllable Layout-to-Human Generation with Decoupled Multimodal Conditions
Employer Expectations, Peer Effects and Productivity: Evidence from a Series of Field Experiments
EEGFormer: Towards Transferable and Interpretable Large-Scale EEG Foundation Model
Resting Neurons, Active Insights: Improving Input Sparsification for Large Language Models
GLEAM: Greedy Learning for Large-Scale Accelerated MRI Reconstruction
How personality and memory of a robot can influence user modeling in Human-Robot Interaction
Smart Transformation of EFL Teaching and Learning Approaches
Reinforcing Reachable Routes
Convergence Behaviour of Some Gradient-Based Methods on Bilinear Games
Rethinking Reuse in Dependency Supply Chains: Initial Analysis of NPM packages at the End of the Chain
A Dynamic Multi Agent based scheduling for flexible flow line manufacturing system accompanied by dynamic customer demand
CausalProfiler: Generating Synthetic Benchmarks for Rigorous and Transparent Evaluation of Causal Machine Learning
Consciousness qua Mortal Computation
Contextually Entangled Gradient Mapping for Optimized LLM Comprehension
The CAT Vehicle Testbed: A Simulator with Hardware in the Loop for Autonomous Vehicle Applications
Augmenting Expert Cognition in the Age of Generative AI: Insights from Document-Centric Knowledge Work
WebVIA: A Web-based Vision-Language Agentic Framework for Interactive and Verifiable UI-to-Code Generation
Metric-guided Image Reconstruction Bounds via Conformal Prediction
Shuffle Augmentation of Features from Unlabeled Data for Unsupervised Domain Adaptation
A Bi-fidelity DeepONet Approach for Modeling Uncertain and Degrading Hysteretic Systems
On-Demand Routing for Urban VANETs using Cooperating UAVs
A New Low Computational Complexity Sphere Decoding Algorithm
Programmable Superconducting Optoelectronic Single-Photon Synapses with Integrated Multi-State Memory
HURRY: Highly Utilized, Reconfigurable ReRAM-based In-situ Accelerator with Multifunctionality
Adversarial Cross-View Disentangled Graph Contrastive Learning
Mobile Apps for Children's Health and Wellbeing: Design Features and Future Opportunities
Antithetic Multilevel Methods for Elliptic and Hypo-Elliptic Diffusions with Applications
Perspectives for Evaluating Conversational AI
Distributed Learning over a Wireless Network with Non-coherent Majority Vote Computation
A New Variational Model for Binary Classification in the Supervised Learning Context
Clinical Concept and Relation Extraction Using Prompt-based Machine Reading Comprehension
CSGDN: Contrastive Signed Graph Diffusion Network for Predicting Crop Gene-phenotype Associations
Exploring Machine Learning Algorithms for Infection Detection Using GC-IMS Data: A Preliminary Study
An application of Answer Set Programming in Distributed Architectures: ASP Microservices
Show Me the Instruments: Musical Instrument Retrieval from Mixture Audio
Random Feedback Alignment Algorithms to train Neural Networks: Why do they Align?
A Generalized Bass Model for Product Growth in Networks
The Complexity of Correlated Equilibria in Generalized Games
Hierarchical Object-Centric Learning with Capsule Networks
5 Days, 5 Stories: Using Technology to Promote Empathy in the Workplace
GRASP: Graph Reasoning Agents for Systems Pharmacology with Human-in-the-Loop
Synthesizing lesions using contextual GANs improves breast cancer classification on mammograms
An Iterative Transfer Learning Based Ensemble Technique for Automatic Short Answer Grading
Citation histories of papers: sometimes the rich get richer, sometimes they don't
Communication-Efficient Diffusion Strategy for Performance Improvement of Federated Learning with Non-IID Data
Dynamic Walking on Slippery Surfaces: Demonstrating Stable Bipedal Gaits with Planned Ground Slippage
Maximum Spectral Efficiency With Adaptive MQAM Transmissions Over Terrestrial Coherent FSO Links
PanBench: Towards High-Resolution and High-Performance Pansharpening
ExplanationLP: Abductive Reasoning for Explainable Science Question Answering
AI-MOLE: Autonomous Iterative Motion Learning for Unknown Nonlinear Dynamics with Extensive Experimental Validation
Word Embeddings: A Survey
CS-Rep: Making Speaker Verification Networks Embracing Re-parameterization
How Much Backtracking is Enough? Exploring the Interplay of SFT and RL in Enhancing LLM Reasoning
Positional queuetions
"I Wanted to Predict Elections with Twitter and all I got was this Lousy Paper" - A Balanced Survey on Election Prediction using Twitter Data
Interaction Field Matching: Overcoming Limitations of Electrostatic Models
Adversarial Defense by Latent Style Transformations
Information Geometry Connecting Wasserstein Distance and Kullback-Leibler Divergence via the Entropy-Relaxed Transportation Problem
MedHEval: Benchmarking Hallucinations and Mitigation Strategies in Medical Large Vision-Language Models
A re-formulization of the transfer matrix method for calculating wave-functions in higher dimensional disordered open systems
LoRAShop: Training-Free Multi-Concept Image Generation and Editing with Rectified Flow Transformers
Go Wide or Go Deep: Levering Watermarking Performance with Computational Cost for Specific Images
Combining Commonsense Reasoning and Knowledge Acquisition to Guide Deep Learning in Robotics
MRI Brain Tumor Detection with Computer Vision
EU-Agent-Bench: Measuring Illegal Behavior of LLM Agents Under EU Law
Bidirectional Representations for Low Resource Spoken Language Understanding
From PowerPoint UI Sketches to Web-Based Applications: Pattern-Driven Code Generation for GIS Dashboard Development Using Knowledge-Augmented LLMs, Context-Aware Visual Prompting, and the React Framework
Enabling Plant Phenotyping in Weedy Environments using Multi-Modal Imagery via Synthetic and Generated Training Data
Learning Word Embeddings from Intrinsic and Extrinsic Views
NeuroMorse: A Temporally Structured Dataset For Neuromorphic Computing
Predictive Modelling of Bone Age through Classification and Regression of Bone Shapes
Multi-clue reconstruction of sharing chains for social media images
GROOT: General-Purpose Automatic Parameter Tuning Across Layers, Domains, and Use Cases
Guideline for Trustworthy Artificial Intelligence - AI Assessment Catalog
Construction of a Circuit for the Simulation of a Hamiltonian with a Tridiagonal Matrix Representation
UA-1 PH2 DECISIVE Testing Handbook: Test Methods and Benchmarking Performance Results for sUAS in Dense Urban Environments
Reconfigurations of Plane Caterpillars and Paths
OmniSegmentor: A Flexible Multi-Modal Learning Framework for Semantic Segmentation
Open Set Adversarial Examples
DisasterNeedFinder: Understanding the Information Needs in the 2024 Noto Earthquake (Comprehensive Explanation)
Deep-Sea A*+: An Advanced Path Planning Method Integrating Enhanced A* and Dynamic Window Approach for Autonomous Underwater Vehicles
An FMM Based on Dual Tree Traversal for Many-core Architectures
Plug-and-Play Recipe Generation with Content Planning
Dynamic Deep Learning LES Closures: Online Optimization With Embedded DNS
Lightning Grasp: High Performance Procedural Grasp Synthesis with Contact Fields
Constructing Enhanced Mutual Information for Online Class-Incremental Learning
Computational Representation of Linguistic Structures using Domain-Specific Languages
A Review of Deep Learning Based Image Super-resolution Techniques
One-Bit-Aided Modulo Sampling for DOA Estimation
SHIFT: An RDMA Failure-Resilient Layer for Distributed Training
Stochastic Langevin Monte Carlo for (weakly) log-concave posterior distributions
The existence of explicit symplectic integrators for general nonseparable Hamiltonian systems
Aligning Visual and Semantic Interpretability through Visually Grounded Concept Bottleneck Models
Large Language Model Distillation Doesn't Need a Teacher
Document classification methods
Necessary and Sufficient Conditions for Capacity-Achieving Private Information Retrieval with Adversarial Servers
Private Learning on Networks
Intelligent Internet of Things (IoT) Node Demonstrator for Device Monitoring and Control in the Oil and Gas Sector
Phrase-Based Attentions
Bridging Information Criteria and Parameter Shrinkage for Model Selection
POAS: A high-performance scheduling framework for exploiting Accelerator Level Parallelism
Towards Daily High-resolution Inundation Observations using Deep Learning and EO
MoPEQ: Mixture of Mixed Precision Quantized Experts
Characterization of Information Channels for Asymptotic Mean Stationarity and Stochastic Stability of Non-stationary/Unstable Linear Systems
Candidate Fusion: Integrating Language Modelling into a Sequence-to-Sequence Handwritten Word Recognition Architecture
Characterizing Linguistic Shifts in Croatian News via Diachronic Word Embeddings
A Robust Numerical Method for Solving Trigonometric Equations in Robotic Kinematics
Hyperbolic Graph Embedding with Enhanced Semi-Implicit Variational Inference
A Deep Network for Arousal-Valence Emotion Prediction with Acoustic-Visual Cues
Intelligent Orchestration of ADAS Pipelines on Next Generation Automotive Platforms
TOY: a Total ordering Optimistic sYstem for Permissioned Blockchains
27.5-29.5 GHz Switched Array Sounder for Dynamic Channel Characterization: Design, Implementation and Measurements
No Need to Look Back: An Efficient and Scalable Approach for Temporal Network Representation Learning
ROBUST: 221 Bugs in the Robot Operating System
Deep learning-based topological optimization for representing a user-specified design area
Fast GPU bounding boxes on tree-structured scenes
Prim-LAfD: A Framework to Learn and Adapt Primitive-Based Skills from Demonstrations for Insertion Tasks
Krylov and core transformation algorithms for an inverse eigenvalue problem to compute recurrences of multiple orthogonal polynomials
Robustness of interdependent networks under targeted attack
Polymer dynamics via cliques with applications to hard-sphere mixtures
High-dimensional manifold of solutions in neural networks: insights from statistical physics
Model-First Reasoning LLM Agents: Reducing Hallucinations through Explicit Problem Modeling
A Rigorous Benchmark with Multidimensional Evaluation for Deep Research Agents: From Answers to Reports
Cancer-inspired Genomics Mapper Model for the Generation of Synthetic DNA Sequences with Desired Genomics Signatures
Do Social Explanations Work? Studying and Modeling the Effects of Social Explanations in Recommender Systems
MERGE - A Bimodal Dataset for Static Music Emotion Recognition
Million-scale Object Detection with Large Vision Model
Interharmonic Power: A New Concept for Power System Oscillation Source Location
SignDiff: Learning Diffusion Models for American Sign Language Production
Characterization of Termination for Linear Loop Programs
Clustering Time-Series by a Novel Slope-Based Similarity Measure Considering Particle Swarm Optimization
Accelerating Concurrent Heap on GPUs
Traffic Performance Analysis of Manet Routing Protocol
The Cost of Privacy in Generalized Linear Models: Algorithms and Minimax Lower Bounds
Finding All Leftmost Separators of Size ≤k
The cone of 5×5 completely positive matrices
Network Link Dimensioning based on Statistical Analysis and Modeling of Real Internet Traffic
Proportional Topology Optimization: A new non-gradient method for solving stress constrained and minimum compliance problems and its implementation in MATLAB
Understanding LLM Reasoning for Abstractive Summarization
Building Odia Shallow Parser
Distinguishing Commercial from Editorial Content in News
Integrating Large Language Models for Automated Structural Analysis
Inference-Time Compute Scaling For Flow Matching
Reward-Based 1-bit Compressed Federated Distillation on Blockchain
Towards Wi-Fi AP-Assisted Content Prefetching for On-Demand TV Series: A Reinforcement Learning Approach
AGIR: Assessing 3D Gait Impairment with Reasoning based on LLMs
Tools for Refactoring to Microservices: A Preliminary Usability Report
Hard negative examples are hard, but useful
Learning Invariant Representations for Sentiment Analysis: The Missing Material is Datasets
Reserved: Dissecting Internet Traffic on Port 0
Machine Learning Classification of Price Extrema Based on Market Microstructure Features: A Case Study of S&P500 E-mini Futures
Empirical Analysis of Common Subgraph Isomorphism Approaches to the Lost-in-Space Star Identification Problem
Advancing Pavement Distress Detection in Developing Countries: A Novel Deep Learning Approach with Locally-Collected Datasets