yusuke1997/dblp-id-title huggingface dataset:
An Empirical Evaluation of the Impact of New York's Bail Reform on Crime Using Synthetic Controls
A Delta Debugger for ILP Query Execution
EasyGenNet: An Efficient Framework for Audio-Driven Gesture Video Generation Based on Diffusion Model
Diversity for Contingency: Learning Diverse Behaviors for Efficient Adaptation and Transfer
Sentiment analysis of texts from social networks based on machine learning methods for monitoring public sentiment
Galaxy morphology prediction using capsule networks
Bitcoin Selfish Mining and Dyck Words
Model Checking of Cache for WCET Analysis Refinement
Text clustering applied to data augmentation in legal contexts
AutoJoin: Efficient Adversarial Training for Robust Maneuvering via Denoising Autoencoder and Joint Learning
Modeling Autonomous Shifts Between Focus State and Mind-Wandering Using a Predictive-Coding-Inspired Variational RNN Model
In-Domain Self-Supervised Learning Can Lead to Improvements in Remote Sensing Image Classification
Analysis of Rainfall Variability and Water Extent of Selected Hydropower Reservoir Using Google Earth Engine (GEE): A Case Study from Two Tropical Countries, Sri Lanka and Vietnam
Estimating Depth from Monocular Images as Classification Using Deep Fully Convolutional Residual Networks
HOKEM: Human and Object Keypoint-based Extension Module for Human-Object Interaction Detection
Convergence and Near-optimal Sampling for Multivariate Function Approximations in Irregular Domains via Vandermonde with Arnoldi
MindMerger: Efficient Boosting LLM Reasoning in non-English Languages
WEASEL 2.0 - A Random Dilated Dictionary Transform for Fast, Accurate and Memory Constrained Time Series Classification
A System of Interaction and Structure IV: The Exponentials and Decomposition
Differentially Private Federated Learning: A Client Level Perspective
Bridging the Human to Robot Dexterity Gap through Object-Oriented Rewards
A Method For Dynamic Ensemble Selection Based on a Filter and an Adaptive Distance to Improve the Quality of the Regions of Competence
On Recoverable and Two-Stage Robust Selection Problems with Budgeted Uncertainty
Upper approximating probabilities of convergence in probabilistic coherence spaces
Follow Everything: A Leader-Following and Obstacle Avoidance Framework with Goal-Aware Adaptation
Towards a General Many-Sorted Framework for Describing Certain Kinds of Legal Statutes with a Potential Computational Realization
InterPreT: Interactive Predicate Learning from Language Feedback for Generalizable Task Planning
Text Classification Components for Detecting Descriptions and Names of CAD models
Differential-Flatness and Control of Quadrotor(s) with a Payload Suspended through Flexible Cable(s)
The geometry of hypothesis testing over convex cones: Generalized likelihood tests and minimax radii
SA-EMO: Structure-Aligned Encoder Mixture of Operators for Generalizable Full-waveform Inversion
Explaining How a Neural Network Play the Go Game and Let People Learn
The Primacy of Magnitude in Low-Rank Adaptation
Percolation and Connectivity on the Signal to Interference Ratio Graph
XTransfer: Cross-Modality Model Transfer for Human Sensing with Few Data at the Edge
Playing to Vision Foundation Model's Strengths in Stereo Matching
A linear, mass-conserving, multi-time-step compact block-centered finite difference method for incompressible miscible displacement problem in porous media
Trace Regularity PINNs: Enforcing H^ 1/2 (∂ Ω) for Boundary Data
Can It Edit? Evaluating the Ability of Large Language Models to Follow Code Editing Instructions
Can We Trust the AI Pair Programmer? Copilot for API Misuse Detection and Correction
Simulated Blockchains for Machine Learning Traceability and Transaction Values in the Monero Network
Sampled Nonlocal Gradients for Stronger Adversarial Attacks
Towards fully automated deep-learning-based brain tumor segmentation: is brain extraction still necessary?
Low hardware consumption, resolution-configurable Gray code oscillator time-to-digital converters implemented in 16nm, 20nm and 28nm FPGAs
Markov Decision Processes with Long-Term Average Constraints
AutoGraph: A Knowledge-Graph Framework for Modeling Interface Interaction and Automating Procedure Execution in Digital Nuclear Control Rooms
Impact of Log Parsing on Log-based Anomaly Detection
Distributed Reductions for the Maximum Weight Independent Set Problem
Assessing Web Search Credibility and Response Groundedness in Chat Assistants
Examining the Relationship between Scientific Publishing Activity and Hype-Driven Financial Bubbles: A Comparison of the Dot-Com and AI Eras
Hierarchical Online Convex Optimization with Application to Multi-TRP Cooperative Networks
Modeling Semantic Composition with Syntactic Hypergraph for Video Question Answering
Mobile big data analysis with machine learning
An empirical review of the different variants of the Probabilistic Affinity Index as applied to scientific collaboration
Tailored Multi-Organ Segmentation with Model Adaptation and Ensemble
Temporal Betweenness Centrality on Shortest Paths
Passive Loop Interference Suppression in Large-Scale Full-Duplex Cellular Networks
Extensional and Intensional Strategies
The Visual Task Adaptation Benchmark
Automated Commit Message Generation with Large Language Models: An Empirical Study and Beyond
A Training-Free Length Extrapolation Approach for LLMs: Greedy Attention Logit Interpolation (GALI)
Optimal Window and Lattice in Gabor Transform Application to Audio Analysis
Learning What and Where - Unsupervised Disentangling Location and Identity Tracking
Datasheets for AI and medical datasets (DAIMS): a data validation and documentation framework before machine learning analysis in medical research
Information-based complexity, feedback and dynamics in sequential convex programming
Depth Reconstruction of Translucent Objects from a Single Time-of-Flight Camera using Deep Residual Networks
Matching aggregate posteriors in the variational autoencoder
RobEthiChor: Automated Context-aware Ethics-based Negotiation for Autonomous Robots
Prediction of the SYM-H Index Using a Bayesian Deep Learning Method with Uncertainty Quantification
SDPose: Exploiting Diffusion Priors for Out-of-Domain and Robust Pose Estimation
TG-PhyNN: An Enhanced Physically-Aware Graph Neural Network framework for forecasting Spatio-Temporal Data
Adaptive Learning for the Resource-Constrained Classification Problem
DVE: Dynamic Variational Embeddings with Applications in Recommender Systems
Hybrid-FL: Cooperative Learning Mechanism Using Non-IID Data in Wireless Networks
Multiple-Source Adaptation with Domain Classifiers
Controlled quantum search on structured databases
A transfer learning based approach for pronunciation scoring
The Many Shapes of Archive-It
Kid on The Phone! Toward Automatic Detection of Children on Mobile Devices
Approximating Length-Restricted Means under Dynamic Time Warping
Semi-supervised Classification: Cluster and Label Approach using Particle Swarm Optimization
Exploring Expert Specialization through Unsupervised Training in Sparse Mixture of Experts
AI- and Ontology-Based Enhancements to FMEA for Advanced Systems Engineering: Current Developments and Future Directions
Zero Shot Composed Image Retrieval
Feasibility of Smartphone Vibrations as a Sensory Diagnostic Tool
Building a Luganda Text-to-Speech Model From Crowdsourced Data
Using MapReduce for Large-scale Medical Image Analysis
Beyond Spatial Frequency: Pixel-wise Temporal Frequency-based Deepfake Video Detection
Enhanced 3D Generation by 2D Editing
Facial Expression Recognition Using Sparse Gaussian Conditional Random Field
Fair Text Classification via Transferable Representations
Pre-Quantized Deep Learning Models Codified in ONNX to Enable Hardware/Software Co-Design
Topology Abstraction Service for IP VPNs: Core Network Partitioning for Resource Sharing
Clinical Parameters Prediction for Gait Disorder Recognition
Airport Cyber Security and Cyber Resilience Controls
InternSpatial: A Comprehensive Dataset for Spatial Reasoning in Vision-Language Models
Emergent Incident Response for Unmanned Warehouses with Multi-agent Systems
Investigating Spherical Epipolar Rectification for Multi-View Stereo 3D Reconstruction
k-Spectra of c-Balanced Words
Metric Distortion of Small-group Deliberation
Parametric Root Finding for Supporting Proving and Discovering Geometric Inequalities in GeoGebra
External-Memory Networks for Low-Shot Learning of Targets in Forward-Looking-Sonar Imagery
Tractable Local Equilibria in Non-Concave Games
On analytic properties of entropy rate of discrete random sources
Learning to Play Chess from Textbooks (LEAP): a Corpus for Evaluating Chess Moves based on Sentiment Analysis
Extremal minimal bipartite matching covered graphs
Layered Fields for Natural Tessellations on Surfaces
Spontaneous emergence of groups and signaling diversity in dynamic networks
Domain Adaptation for Semantic Segmentation with Maximum Squares Loss
On the Limitations of Compute Thresholds as a Governance Strategy
Federated Learning with Feedback Alignment
DiffPhysCam: Differentiable Physics-Based Camera Simulation for Inverse Rendering and Embodied AI
Collaborative tagging as a tripartite network
CTG-Net: An Efficient Cascaded Framework Driven by Terminal Guidance Mechanism for Dilated Pancreatic Duct Segmentation
FPANet: Frequency-based Video Demoireing using Frame-level Post Alignment
Optimal Bribery in Voting
Memory-Guided Collaborative Attention for Nighttime Thermal Infrared Image Colorization
Sample size cognizant detection of signals in white noise
Deterministic Distributed Matching: Simpler, Faster, Better
A parameter free similarity index based on clustering ability for link prediction in complex networks
Principle Interference in Technical and Scientific Translation
The Serendipity of Claude AI: Case of the 13 Low-Resource National Languages of Mali
New Approach to Malware Detection Using Optimized Convolutional Neural Network
Lie detection algorithms attract few users but vastly increase accusation rates
FFT-Based Deep Learning Deployment in Embedded Systems
Towards Relation Extraction From Speech
Secrecy Outage of SWIPT in the Presence of Cooperating Eavesdroppers
Deep Residual Fourier Transformation for Single Image Deblurring
VIKI: Systematic Cross-Platform Profile Inference of Online Users
Decoupling Reasoning and Perception: An LLM-LMM Framework for Faithful Visual Reasoning
Human-Centered Interactive Anonymization for Privacy-Preserving Machine Learning: A Case for Human-Guided k-Anonymity
A Fragile Number Sense: Probing the Elemental Limits of Numerical Reasoning in LLMs
Cool URIs for FAIR Knowledge Graphs
Next Generation M2M Cellular Networks: Challenges and Practical Considerations
Multi-GRPO: Multi-Group Advantage Estimation for Text-to-Image Generation with Tree-Based Trajectories and Multiple Rewards
Multidomain Document Layout Understanding using Few Shot Object Detection
Phishing Email Detection Using Inputs From Artificial Intelligence
OmniScene: Attention-Augmented Multimodal 4D Scene Understanding for Autonomous Driving
A note on Automatic Baire property
Polar Coding for Reliable Communications over Parallel Channels
Understanding the Artificial Intelligence Clinician and optimal treatment strategies for sepsis in intensive care
Explicit fairness in testing semantics
3GPP-inspired HetNet Model using Poisson Cluster Process: Sum-product Functionals and Downlink Coverage
Optimal Content Caching and Recommendation with Age of Information
Hybrid RF/VLC Systems under QoS Constraints
An algorithm for dividing quaternions
A Study of the Learning Progress in Neural Architecture Search Techniques
Traditional and Heavy-Tailed Self Regularization in Neural Network Models
When to Invest in Security? Empirical Evidence and a Game-Theoretic Approach for Time-Based Security
AmpleGCG-Plus: A Strong Generative Model of Adversarial Suffixes to Jailbreak LLMs with Higher Success Rates in Fewer Attempts
On graph classes with logarithmic boolean-width
CACTUS as a Reliable Tool for Early Classification of Age-related Macular Degeneration
CircuitSeer: Mining High-Quality Data by Probing Mathematical Reasoning Circuits in LLMs
Learning adaptively from the unknown for few-example video person re-ID
Representation-Based Data Quality Audits for Audio
Generative-Adversarial Networks for Low-Resource Language Data Augmentation in Machine Translation
Aggregation and Trunking of M2M Traffic via D2D Connections
Pattern formation in a cell migration model with aggregation and diffusion
Text-guided mask-free local image retouching
Extending System Performance Past the Boundaries of Technical Maturity: Human-Agent Teamwork Perspective for Industrial Inspection
BAPGAN: GAN-based Bone Age Progression of Femur and Phalange X-ray Images
Adaptive Frequency-Regulation Demand Response Using Substation Solar Irradiance Measurement in High-PV Power Systems
Can AI Make Energy Retrofit Decisions? An Evaluation of Large Language Models
Federated Learning for Large-Scale Cloud Robotic Manipulation: Opportunities and Challenges
Fundus: A Simple-to-Use News Scraper Optimized for High Quality Extractions
S-EPOA: Overcoming the Indivisibility of Annotations with Skill-Driven Preference-Based Reinforcement Learning
Robust, Deep, and Reinforcement Learning for Management of Communication and Power Networks
Time-projection control to recover inter-sample disturbances, application to bipedal walking control
Equation-informed data-driven identification of flow budgets and dynamics
LINPRO: linear inverse problem library for data contaminated by statistical noise
Investigating Quality of Institutional Repository Website Design Using Usability Testing Framework
Every Pixel Tells a Story: End-to-End Urdu Newspaper OCR
Molecular HDD Logic for Encrypted Massive Data Storage
BD-Diff: Generative Diffusion Model for Image Deblurring on Unknown Domains with Blur-Decoupled Learning
Joint aggregation of cardinal and ordinal evaluations with an application to a student paper competition
Evaluate-and-Purify: Fortifying Code Language Models Against Adversarial Attacks Using LLM-as-a-Judge
Context-Aware Scientific Knowledge Extraction on Linked Open Data using Large Language Models
Reasoning Under Threat: Symbolic and Neural Techniques for Cybersecurity Verification
Reconstruct the Directories for In-Memory File Systems
Lidar-based Tracking of Traffic Participants with Sensor Nodes in Existing Urban Infrastructure
SegReConcat: A Data Augmentation Method for Voice Anonymization Attack
FPTAS for barrier covering problem with equal circles in 2D
Diagonals and Block-Ordered Relations
Feature space reduction method for ultrahigh-dimensional, multiclass data: Random forest-based multiround screening (RFMS)
A Strategy Optimized Pix2pix Approach for SAR-to-Optical Image Translation Task
BioLeaf: a professional mobile application to measure foliar damage caused by insect herbivory
Alignment of 3D woodblock geometrical models and 2D orthographic projection image
Lessons Learned from Evaluating MDE Abstractions in an Industry Case Study
Beyond the adjacency matrix: random line graphs and inference for networks with edge attributes
Towards An Optimal Solution to Place Bistatic Radars for Belt Barrier Coverage with Minimum Cost
Contraction Analysis of Discrete-time Stochastic Systems
Revisiting Neural Language Modelling with Syllables
3DTI-Net: Learn Inner Transform Invariant 3D Geometry Features using Dynamic GCN
Generative Adversarial Neural Cellular Automata
Modelling the costs and benefits of Honeynets
Block-based Symmetric Pruning and Fusion for Efficient Vision Transformers
Trust-Aware Diversion for Data-Effective Distillation
Lipschitz Networks and Distributional Robustness
Multi-organ Segmentation via Co-training Weight-averaged Models from Few-organ Datasets
Incorporating Weisfeiler-Leman into algorithms for group isomorphism
How good is GPT at writing political speeches for the White House?
MAC level Throughput comparison: 802.11ax vs. 802.11ac
Real Time and Energy Efficient Transport Protocol for Wireless Sensor Networks
Deep Reinforcement Learning for Demand Driven Services in Logistics and Transportation Systems: A Survey
Transfer-Learning-Aware Neuro-Evolution for Diseases Detection in Chest X-Ray Images
Parametrized Deep Q-Networks Learning: Reinforcement Learning with Discrete-Continuous Hybrid Action Space
Optimization-Free Style Transfer for 3D Gaussian Splats
Evading Classifier in the Dark: Guiding Unpredictable Morphing Using Binary-Output Blackboxes
Stochastic PDE representation of random fields for large-scale Gaussian process regression and statistical finite element analysis
Scalable Dynamic Topic Modeling with Clustered Latent Dirichlet Allocation (CLDA)
Automatic Retraction and Full Cycle Operation for a Class of Airborne Wind Energy Generators
Binary Stretch Embedding of Weighted Graphs
Capturing AI's Attention: Physics of Repetition, Hallucination, Bias and Beyond
Data Denoising and Derivative Estimation for Data-Driven Modeling of Nonlinear Dynamical Systems
Measuring CDNs susceptible to Domain Fronting
Developmentally motivated emergence of compositional communication via template transfer
Turbo2K: Towards Ultra-Efficient and High-Quality 2K Video Synthesis
On Solving Quantified Bit-Vectors using Invertibility Conditions
Integrating Behavior Cloning and Reinforcement Learning for Improved Performance in Sparse Reward Environments
Multi-Output Artificial Neural Network for Storm Surge Prediction in North Carolina
Transfer Learning from Synthetic In-vitro Soybean Pods Dataset for In-situ Segmentation of On-branch Soybean Pod
Sensing-Aware Kernel SVM
Autocorrelation and Lower Bound on the 2-Adic Complexity of LSB Sequence of p-ary m-Sequence
GTOC X: Karmarkar's Gang's Approach and Results
Resource sharing on endogenous networks
Complexity-Scalable Neural Network Based MIMO Detection With Learnable Weight Scaling
Stateless Geocasting
Computing Integer Sequences: Filtering vs Generation (Functional Pearl)
Information-theoretic User Interaction: Significant Inputs for Program Synthesis
Self-Attention Based Context-Aware 3D Object Detection
Centrality-based identification of important edges in complex networks
LongMamba: Enhancing Mamba's Long Context Capabilities via Training-Free Receptive Field Enlargement
Some Results on the Power of Nondeterministic Computation
The Role of Urban Designers in the Era of AIGC: An Experimental Study Based on Public Participation
A Relational Macrostate Theory Guides Artificial Intelligence to Learn Macro and Design Micro
Randomized Incremental Construction for the Hausdorff Voronoi Diagram of point clusters
Modeling and simulations of moving droplet in a Rarefied gas
A Novel Hybrid Approach to Contraceptive Demand Forecasting: Integrating Point Predictions with Probabilistic Distributions
Hypergraph Modeling via Spectral Embedding Connection: Hypergraph Cut, Weighted Kernel k-means, and Heat Kernel
SoDaDE: Solvent Data-Driven Embeddings with Small Transformer Models
Decentralized Aggregation for Energy-Efficient Federated Learning via Overlapped Clustering and D2D Communications
Ad Text Classification with Transformer-Based Natural Language Processing Methods
Human + AI for Accelerating Ad Localization Evaluation
Treatment Learning Transformer for Noisy Image Classification
Wireless Mesh Network Performance for Urban Search and Rescue Missions
Apple Flower Detection using Deep Convolutional Networks
Functorial Hierarchical Clustering with Overlaps
Expressive Symbolic Regression for Interpretable Models of Discrete-Time Dynamical Systems
Searching for Legal Clauses by Analogy. Few-shot Semantic Retrieval Shared Task
Well-definedness of Physical Law Learning: The Uniqueness Problem
Epistemic Error Decomposition for Multi-step Time Series Forecasting: Rethinking Bias-Variance in Recursive and Direct Strategies
Hierarchical Predictive Control Algorithms for Optimal Design and Operation of Microgrids
Optimizing voice conversion network with cycle consistency loss of speaker identity
Flat coalgebraic fixed point logics
About Fibonacci trees. II - generalized Fibonacci trees
MC-ViViT: Multi-branch Classifier-ViViT to Detect Mild Cognitive Impairment in Older Adults using Facial Videos
From Missing Pieces to Masterpieces: Image Completion with Context-Adaptive Diffusion
Revisiting Few-Shot Learning for Facial Expression Recognition
Subsets and Supermajorities: Unifying Hashing-based Set Similarity Search
Towards Deep Semantic Analysis Of Hashtags
Prediction, Generation of WWTPs microbiome community structures and Clustering of WWTPs various feature attributes using DE-BP model, SiTime-GAN model and DPNG-EPMC ensemble clustering algorithm with modulation of microbial ecosystem health
Accuracy-based Curriculum Learning in Deep Reinforcement Learning
Pruning Distorted Images in MNIST Handwritten Digits
"Excavating AI" Re-excavated: Debunking a Fallacious Account of the JAFFE Dataset
Inheritance patterns in citation networks reveal scientific memes
Spatiotemporal motion planning with combinatorial reasoning for autonomous driving
Event-triggered second-moment stabilization of linear systems under packet drops
ALT: Boosting Deep Learning Performance by Breaking the Wall between Graph and Operator Level Optimizations
ReAct Meets ActRe: When Language Agents Enjoy Training Data Autonomy
Learning-Augmented Online Packet Scheduling with Deadlines
Quasi-metrics, Similarities and Searches: aspects of geometry of protein datasets
Regularity and Tailored Regularization of Deep Neural Networks, with application to parametric PDEs in uncertainty quantification
EnergyTwin: A Multi-Agent System for Simulating and Coordinating Energy Microgrids
Detection and Prevention Against RTS Attacks in Wireless LAN
SkewRoute: Training-Free LLM Routing for Knowledge Graph Retrieval-Augmented Generation via Score Skewness of Retrieved Context
Towards democratic data agency: Attitudes and concerns about online data practices
Fracture Detection In X-rays Using Custom Convolutional Neural Network (CNN) And Transfer Learning Models
AI/ML in 3GPP 5G Advanced - Services and Architecture
Efficient Training of Large Language Models on Distributed Infrastructures: A Survey
Rethinking Fairness for Human-AI Collaboration
A Case Study of Deep Learning Based Multi-Modal Methods for Predicting the Age-Suitability Rating of Movie Trailers
Time-domain direct sampling method for inverse electromagnetic scattering with a single incident source
Using Explainable Scheduling for the Mars 2020 Rover Mission
Collaborative Spatio-temporal Feature Learning for Video Action Recognition
Improved Regret Bounds for Gaussian Process Upper Confidence Bound in Bayesian Optimization
Deep Learning-Based Sentiment Analysis of COVID-19 Vaccination Responses from Twitter Data
Helpfulness and Fairness of Task-Oriented Dialogue Systems
Guidance of the Center of Pressure Using Haptic Presentation
Analysis of North Indian Classical Ragas Using Tonnetz
Resource Cost Results for Entanglement Distillation and State Merging under Source Uncertainties
Listening with Language Models: Using LLMs to Collect and Interpret Classroom Feedback
Continuous Deep Learning: A Workflow to Bring Models into Production
Temporal-Aware Spiking Transformer Hashing Based on 3D-DWT
Estimating Brain Activity with High Spatial and Temporal Resolution using a Naturalistic MEG-fMRI Encoding Model
ST-MambaSync: The Confluence of Mamba Structure and Spatio-Temporal Transformers for Precipitous Traffic Prediction
Disciplined Biconvex Programming
Solving the 3D Heat Equation with VQA via Remeshing-Based Warm Starts
People Attribute Purpose to Autonomous Vehicles When Explaining Their Behavior
Performance Analysis of Probabilistic Rebroadcasting in Grid FSR for MANET
Parallel computing as a congestion game
Segmenting 3D Hybrid Scenes via Zero-Shot Learning
Deep Adaptive Multi-Intention Inverse Reinforcement Learning
Open Data Visualization: Keeping Traces of the Exploration Process
Sparsity and 𝓁 p -Restricted Isometry
Blind Calibration of Quantum Devices over Noisy Quantum Channels
Performance Analysis of M-QAM Multihop Relaying over mmWave Weibull Fading Channels
Artificial Intelligence, speech and language processing approaches to monitoring Alzheimer's Disease: a systematic review