yusuke1997/dblp-id-title huggingface dataset:
MLASDO: a software tool to detect and explain clinical and omics inconsistencies applied to the Parkinson's Progression Markers Initiative cohort
Dynamic routing for social information sharing
Inducing Human-like Biases in Moral Reasoning Language Models
Brick Tic-Tac-Toe: Exploring the Generalizability of AlphaZero to Novel Test Environments
Real-to-Sim: Deep Learning with Auto-Tuning to Predict Residual Errors using Sparse Data
SEED: Semantic Graph based Deep detection for type-4 clone
Contamination Detection for VLMs using Multi-Modal Semantic Perturbation
A Perception-feedback position-tracking control for quadrotors
PRISM-Bench: A Benchmark of Puzzle-Based Visual Tasks with CoT Error Detection
Estimating Voltage Drop: Models, Features and Data Representation Towards a Neural Surrogate
MIMO Relaying Broadcast Channels with Linear Precoding and Quantized Channel State Information Feedback
A Genetic Algorithm to Optimize a Tweet for Retweetability
Network Intrusion Detection based on LSTM and Feature Embedding
A Topological Similarity Measure between Multi-Field Data using Multi-Resolution Reeb Spaces
Longitudinal data analysis using matrix completion
The quality of the Web of Science data: a longitudinal study on the completeness of authors-addresses links
Pulse Shaping Filter Design for Integrated Sensing & Communication with Zak-OTFS
An Evaluation of Coarse-Grained Locking for Multicore Microkernels
Some New Results on Efficient and Perfect Edge Domination of Graphs
Fire Resistance Deformable Soft Gripper Based on Wire Jamming Mechanism
Equivariant filter (EqF): A general filter design for systems on homogeneous spaces
Probability of Inconsistencies in Theory Revision: A multi-agent model for updating logically interconnected beliefs under bounded confidence
Secure Relay Beamforming over Cognitive Radio Channels
Decoding Style: Efficient Fine-Tuning of LLMs for Image-Guided Outfit Recommendation with Preference
"We need to avail ourselves of GenAI to enhance knowledge distribution": Empowering Older Adults through GenAI Literacy
BEATS: Optimizing LLM Mathematical Capabilities with BackVerify and Adaptive Disambiguate based Efficient Tree Search
The linearization methods as a basis to derive the relaxation and the shooting methods
Scalable and Robust Construction of Topical Hierarchies
Weakly Supervised Cloud Detection Combining Spectral Features and Multi-Scale Deep Network
Multilevel Text Normalization with Sequence-to-Sequence Networks and Multisource Learning
Efficient Collective Action for Tackling Time-Critical Cybersecurity Threats
Leveraging Users' Social Network Embeddings for Fake News Detection on Twitter
Cross-Task Experiential Learning on LLM-based Multi-Agent Collaboration
Distributionally Robust Planning of Hydrogen-Electrical Microgrids for Sea Islands
Beyond Plain Demos: A Demo-centric Anchoring Paradigm for In-Context Learning in Alzheimer's Disease Detection
Mapping a Movement: Exploring a Proposed Police Training Facility in Atlanta and the Stop Cop City Movement through Online Maps
Taking the edge off quantization: projected back projection in dithered compressive sensing
QEnclave - A practical solution for secure quantum cloud computing
Causal--Path Local Time--Stepping in the Discontinuous Galerkin Method for Maxwell's equations
Hybrid Discriminative-Generative Training via Contrastive Learning
TempoControl: Temporal Attention Guidance for Text-to-Video Models
Medical Reasoning in the Era of LLMs: A Systematic Review of Enhancement Techniques and Applications
Deep-learning-based precoding in multiuser MIMO downlink channels with limited feedback
3D Reconstruction from Full-view Fisheye Camera
Fault Area Detection in Leaf Diseases using k-means Clustering
Causal Reasoning in Software Quality Assurance: A Systematic Review
An Ensemble Blocking Scheme for Entity Resolution of Large and Sparse Datasets
Energy-Aware UAV-Enabled Target Tracking: Online Optimization with Location Constraints
A mathematical analysis of the discretized IPT-DMFT equations
Tuning without Peeking: Provable Privacy and Generalization Bounds for LLM Post-Training
Towards an architectural framework for intelligent virtual agents using probabilistic programming
Control at Stake: Evaluating the Security Landscape of LLM-Driven Email Agents
Effect of Social Media Use on Mental Health during Lockdown in India
Fog-supported delay-constrained energy-saving live migration of VMs over MultiPath TCP/IP 5G connections
Fuzzy Semantic Segmentation of Breast Ultrasound Image with Breast Anatomy Constraints
Analytic Methods for Optimizing Realtime Crowdsourcing
Induced and Weak Induced Arboricities
Backward error analysis for conjugate symplectic methods
LUCF-Net: Lightweight U-shaped Cascade Fusion Network for Medical Image Segmentation
Multi-Objective Reinforcement Learning with Max-Min Criterion: A Game-Theoretic Approach
Spirals and Beyond: Competitive Plane Search with Multi-Speed Agents
Modeling Deontic Modal Logic in the s(CASP) Goal-directed Predicate Answer Set Programming System
A Study on Dialogue Reward Prediction for Open-Ended Conversational Agents
Semantic Proximity Alignment: Towards Human Perception-consistent Audio Tagging by Aligning with Label Text Description
MSA-MIL: A deep residual multiple instance learning model based on multi-scale annotation for classification and visualization of glomerular spikes
BEVGPT: Generative Pre-trained Large Model for Autonomous Driving Prediction, Decision-Making, and Planning
What do Language Representations Really Represent?
Spectral Factorization, Whitening- and Estimation Filter -- Stability, Smoothness Properties and FIR Approximation Behavior
Spectral Analysis of Virus Spreading in Random Geometric Networks
AutoMLGen: Navigating Fine-Grained Optimization for Coding Agents
Advancing dermatological diagnosis: Development of a hyperspectral dermatoscope for enhanced skin imaging
A Generalized Mean Field Algorithm for Variational Inference in Exponential Families
Addressing Scalability with Message Queues: Architecture and Use Cases for DIRAC Interware
Selecting Data Adaptive Learner from Multiple Deep Learners using Bayesian Networks
Explainable Graph Neural Networks for Observation Impact Analysis in Atmospheric State Estimation
Role-Play with Large Language Models
A Two Stage Mechanism For Selling Random Power
Inverse Reinforcement Learning using Revealed Preferences and Passive Stochastic Optimization
A Novel Semantic Compression Approach for Ultra-low Bandwidth Voice Communication
Robustness of correlated networks against propagating attacks
Electricity markets regarding the operational flexibility of power plants
Automated Annotation with Generative AI Requires Validation
Global network structure of dominance hierarchy of ant workers
Learning the Simplicity of Scattering Amplitudes
Auditing Google's Search Algorithm: Measuring News Diversity Across Brazil, the UK, and the US
Predicting Distant Metastases in Soft-Tissue Sarcomas from PET-CT scans using Constrained Hierarchical Multi-Modality Feature Learning
Topology-Aware Graph Neural Network-based State Estimation for PMU-Unobservable Power Systems
Measure-Theoretic Time-Delay Embedding
An Effective Approach for Web Document Classification using the Concept of Association Analysis of Data Mining
A modular architecture for IMU-based data gloves
A lightweight PUF-based authentication protocol
Track, Inpaint, Resplat: Subject-driven 3D and 4D Generation with Progressive Texture Infilling
Network Models of Expertise in the Complex Task of Operating Particle Accelerators
Analytical Solutions for the Inverse Problem within Gradual Semantics
A Data-Driven Multi-Objective Approach for Predicting Mechanical Performance, Flowability, and Porosity in Ultra-High-Performance Concrete (UHPC)
MeltdownPrime and SpectrePrime: Automatically-Synthesized Attacks Exploiting Invalidation-Based Coherence Protocols
Center-guided Classifier for Semantic Segmentation of Remote Sensing Images
Enhanced Creativity and Ideation through Stable Video Synthesis
QReLU and m-QReLU: Two novel quantum activation functions to aid medical diagnostics
Submodularity of Energy Related Controllability Metrics
Multiple Linear Regression-Based Energy-Aware Resource Allocation in the Fog Computing Environment
Representational Power of ReLU Networks and Polynomial Kernels: Beyond Worst-Case Analysis
STGA: Selective-Training Gaussian Head Avatars
Evaluating Software Supply Chain Security in Research Software
Detecting Speech Abnormalities with a Perceiver-based Sequence Classifier that Leverages a Universal Speech Model
Unveiling Zeus
Towards WinoQueer: Developing a Benchmark for Anti-Queer Bias in Large Language Models
Respect for Human Autonomy in Recommender Systems
A Multi-Fidelity Methodology for Reduced Order Models with High-Dimensional Inputs
QGEC : Quantum Golay Code Error Correction
MALM: Mask Augmentation based Local Matching for Food-Recipe Retrieval
A Deep Learning Approach to Drone Monitoring
RobustBlack: Challenging Black-Box Adversarial Attacks on State-of-the-Art Defenses
Classifier-free Guidance with Adaptive Scaling
The Problem with Metrics is a Fundamental Problem for AI
Automatic generation of CUDA code performing tensor manipulations using C++ expression templates
End-to-end Optimization of Constellation Shaping for Wiener Phase Noise Channels with a Differentiable Blind Phase Search
An Analysis of Interactions Within and Between Extreme Right Communities in Social Media
Investigating writing style as a contributor to gender gaps in science and technology
Arabic Speech Recognition by End-to-End, Modular Systems and Human
BMW-ROOM An Object-Oriented Method for ASCET
Skin lesion segmentation using U-Net and good training strategies
Simple Low-Rate Non-Binary LDPC Coding for Relay Channels
Autonomous skill discovery with Quality-Diversity and Unsupervised Descriptors
SDPTools: High Precision SDP Solver in Maple
Data-driven Discovery of Digital Twins in Biomedical Research
Low impact agency: review and discussion
Persistent homology for metric measure spaces, and robust statistics for hypothesis testing and confidence intervals
AAA interpolation of equispaced data
Dependency Decomposition and a Reject Option for Explainable Models
Deep Learning for Prediction and Classifying the Dynamical behaviour of Piecewise Smooth Maps
Scalable Multilevel Monte Carlo Methods Exploiting Parallel Redistribution on Coarse Levels
Poly-Spline Finite Element Method
Some remarks on the survey decimation algorithm for K-satisfiability
Scripting Relational Database Engine Using Transducer
AttnGAN: Fine-Grained Text to Image Generation with Attentional Generative Adversarial Networks
Who Benefits from AI Explanations? Towards Accessible and Interpretable Systems
Open Tactile - An open, modular hardware system for controlling tactile displays
A Resilient and Energy-Aware Task Allocation Framework for Heterogeneous Multi-Robot Systems
Reducing cybersickness in 360-degree virtual reality
On Tree Representations of Relations and Graphs: Symbolic Ultrametrics and Cograph Edge Decompositions
Real-Time Model Predictive Control of Vehicles with Convex-Polygon-Aware Collision Avoidance in Tight Spaces
On the size of disjunctive formulas in the μ-calculus
Efficiently Computing Provenance Graphs for Queries with Negation
A Field Trial Study of 5G Quality of Service: A Case of BTS Skytrain Station
Ideal Observer Computation by Use of Markov-Chain Monte Carlo with Generative Adversarial Networks
The Academic Social Network
Edge Based Oriented Object Detection
The Quantified Community at Red Hook: Urban Sensing and Citizen Science in Low-Income Neighborhoods
Guidelines for benchmarking of optimization approaches for fitting mathematical models
Language and Knowledge Representation: A Stratified Approach
Empirical evaluation of the Frank-Wolfe methods for constructing white-box adversarial attacks
If there's a Trigger Warning, then where's the Trigger? Investigating Trigger Warnings at the Passage Level
Model Multiplicity (UML) Versus Model Singularity in System Requirements and Design
Aggregate-Eliminate-Predict: Detecting Adverse Drug Events from Heterogeneous Electronic Health Records
L-Resilient Adversaries and Hitting Sets
Deep Learning-Based Multi-Modal Fusion for Robust Robot Perception and Navigation
Disentanglement of Sources in a Multi-Stream Variational Autoencoder
Sports Analysis and VR Viewing System Based on Player Tracking and Pose Estimation with Multimodal and Multiview Sensors
Salient Object Detection in Traffic Scene through the TSOD10K Dataset
HeR-DRL: Heterogeneous Relational Deep Reinforcement Learning for Decentralized Multi-Robot Crowd Navigation
WIP: Exploring the Value of a Debugging Cheat Sheet and Mini Lecture in Improving Undergraduate Debugging Skills and Mindset
Scalable Dynamic Origin-Destination Demand Estimation Enhanced by High-Resolution Satellite Imagery Data
An axiomatic derivation of Condorcet-consistent social decision rules
Source localization in an ocean waveguide using supervised machine learning
Sharp Thresholds for a SIR Model on One-Dimensional Small-World Networks
Optimizing Block-Sparse Matrix Multiplications on CUDA with TVM
Industrial Limitations on Academic Freedom in Computer Science
Lightweight Deepfake Detection Based on Multi-Feature Fusion
On mechanics-based a posteriori criteria to assess accuracy of numerical solutions for Darcy and Darcy-Brinkman equations
Decision functions from supervised machine learning algorithms as collective variables for accelerating molecular simulations
Energy randomness
W-MAE: Pre-trained weather model with masked autoencoder for multi-variable weather forecasting
Infinitary Term Graph Rewriting
Relaxing Exclusive Control in Boolean Games
Noise Error Pattern Generation Based on Successive Addition-Subtraction for Guessing Decoding
Are Language Models Efficient Reasoners? A Perspective from Logic Programming
False Data Injection Attack Detection in Edge-based Smart Metering Networks with Federated Learning
Denotational Correctness of Foward-Mode Automatic Differentiation for Iteration and Recursion
An Infinite Parade of Giraffes: Expressive Augmentation and Complexity Layers for Cartoon Drawing
Structural Controllability of Switched Continuous and Discrete Time Linear Systems
Fast Computation of Genome-Metagenome Interaction Effects
ProGraph: Temporally-alignable Probability Guided Graph Topological Modeling for 3D Human Reconstruction
Generalized Spatial Modulation Aided MmWave MIMO with Sub-Connected Hybrid Precoding Scheme
The erasure of intensive livestock farming in text-to-image generative AI
CVLNet: Cross-View Semantic Correspondence Learning for Video-based Camera Localization
Lifting the Veil on the Large Language Model Supply Chain: Composition, Risks, and Mitigations
Growth and dynamics of Econophysics: A bibliometric and network analysis
A Probabilistic Approach for Alignment with Human Comparisons
Image-Based Dietary Assessment: A Healthy Eating Plate Estimation System
Digital rock reconstruction with user-defined properties using conditional generative adversarial networks
Application of Transformers for Nonlinear Channel Compensation in Optical Systems
The Illusion of Progress: Re-evaluating Hallucination Detection in LLMs
HuatuoGPT, towards Taming Language Model to Be a Doctor
Key Concepts and Principles of Blockchain Technology
A Fourier Domain Feature Approach for Human Activity Recognition & Fall Detection
Optimization-Based Ramping Reserve Allocation in AGC Avoiding Counterproductive Regulation
TSGAN: An Optical-to-SAR Dual Conditional GAN for Optical based SAR Temporal Shifting
Acoustic Neighbor Embeddings
Growth mechanisms in continuously-observed networks: Communication in a Facebook-like community
Zorya: Automated Concolic Execution of Single-Threaded Go Binaries
Applying Deep Bidirectional LSTM and Mixture Density Network for Basketball Trajectory Prediction
Guiding user annotations for units-of-measure verification
A Novel Patent Similarity Measurement Methodology: Semantic Distance and Technological Distance
On Secrecy above Secrecy Capacity
Reduced-Order Model Predictive Control of a Fish Schooling Model
Towards a Barrier-free GeoQA Portal: Natural Language Interaction with Geospatial Data Using Multi-Agent LLMs and Semantic Search
Spatial-Channel Transformer Network for Trajectory Prediction on the Traffic Scenes
Trends and Challenges Towards an Effective Data-Driven Decision Making in UK SMEs: Case Studies and Lessons Learnt from the Analysis of 85 SMEs
Robust Multimodal Sentiment Analysis via Double Information Bottleneck
Some results involving the A α -eigenvalues for graphs and line graphs
A Survey of Distributed Denial of Service Attacks and Defenses
RGP: Neural Network Pruning through Its Regular Graph Structure
A Necessary and Sufficient Condition for Solvability of a 3s/3t Sum-network
Doubly-Robust Off-Policy Evaluation with Estimated Logging Policy
Randomization can be as helpful as a glimpse of the future in online computation
Utilizing UNet for the future traffic map prediction task Traffic4cast challenge 2020
CLIMATE-FEVER: A Dataset for Verification of Real-World Climate Claims
Metamodeling and Control of Medical Digital Twins
Toward Robust URL Extraction for Open Science: A Study of arXiv File Formats and Temporal Trends
Tracing Network Evolution Using the PARAFAC2 Model
Learning a model is paramount for sample efficiency in reinforcement learning control of PDEs
Multi-Vehicle Trajectory Prediction at Intersections using State and Intention Information
Compositional bisimulation metric reasoning with Probabilistic Process Calculi
Validating Simplified Processor Models in Architectural Studies
Z-States Algebra for a Tunable Multi-Party Entanglement-Distillation Protocol
Reducing Adversarial Example Transferability Using Gradient Regularization
The brain as a probabilistic transducer: an evolutionarily plausible network architecture for knowledge representation, computation, and behavior
Fidelity-preserving enhancement of ptychography with foundational text-to-image models
Associating Grasping with Convolutional Neural Network Features
Communicating Complex Decisions in Robot-Assisted Therapy
Model Predictive Contouring Control with Barrier and Lyapunov Functions for Stable Path-Following in UAV systems
Ebb: A DSL for Physical Simluation on CPUs and GPUs
Mutating Epidemic Processes Over Time-Varying Networks in Discrete-Time
Textualized and Feature-based Models for Compound Multimodal Emotion Recognition in the Wild
If it's Provably Secure, It Probably Isn't: Why Learning from Proof Failure is Hard
The role of living laboratories in unlocking the potential of low-carbon energy technologies on the journey to net-zero
A comparison of variational upwinding schemes for geophysical fluids, and their application to potential enstrophy conserving discretisations in space and time
Dynamic Witnesses for Static Type Errors
ShiftDTW: adapting the DTW metric for cyclic time series clustering
RankAug: Augmented data ranking for text classification
Evaluating Trust in AI, Human, and Co-produced Feedback Among Undergraduate Students
Model Alignment Search
Goals and Measures for Analyzing Power Consumption Data in Manufacturing Enterprises
Robust Beamforming for AN Aided MISO SWIPT System with Unknown Eavesdroppers and Non-linear EH Model
Online metric TSP
Estimating the distribution of numerosity and non-numerical visual magnitudes in natural scenes using computer vision
Balanced model order reduction for systems depending on a parameter
MMAR: A Challenging Benchmark for Deep Reasoning in Speech, Audio, Music, and Their Mix
Data Lineage Inference: Uncovering Privacy Vulnerabilities of Dataset Pruning
Human Face Recognition using Gabor based Kernel Entropy Component Analysis
MIMO Channel Correlation in General Scattering Environments
Improved Linear Precoding over Block Diagonalization in Multi-cell Cooperative Networks
Two kinds of parametric piecewise rational interpolation kernels for image magnification
C-MP: A decentralized adaptive-coordinated traffic signal control using the Max Pressure framework
Next Basket Prediction using Recurring Sequential Patterns
Learning a Family of Optimal State Feedback Controllers
Approximate Message Passing for Quantum State Tomography
Anomaly detection and automatic labeling for solar cell quality inspection based on Generative Adversarial Network
Contrastive Graph Representation Learning with Adversarial Cross-view Reconstruction and Information Bottleneck
Primus: A Pioneering Collection of Open-Source Datasets for Cybersecurity LLM Training
Occlusion-Ordered Semantic Instance Segmentation
Super-App Behavioral Patterns in Credit Risk Models: Financial, Statistical and Regulatory Implications
Rethinking of Feature Interaction for Multi-task Learning on Dense Prediction
AAAI FSS-19: Artificial Intelligence in Government and Public Sector Proceedings
A Non Linear Approach towards Automated Emotion Analysis in Hindustani Music
Increasing the Likelihood of Finding Public Transport Riders that Face Problems Through a Data-Driven approach
Leveraging Social Determinants of Health in Alzheimer's Research Using LLM-Augmented Literature Mining and Knowledge Graphs
Critical Evaluation of Quantum Machine Learning for Adversarial Robustness
Energy-Constrained Information Storage on Memristive Devices in the Presence of Resistive Drift
Attentive Knowledge-aware Graph Convolutional Networks with Collaborative Guidance for Recommendation
RoCo-Sim: Enhancing Roadside Collaborative Perception through Foreground Simulation
Codeshare agreements between airlines: literature review with the aid of artificial intelligence
Conservative Discontinuous Cut Finite Element Methods
Psychological State in Text: A Limitation of Sentiment Analysis
Investigating the Relationship Between Physical Activity and Tailored Behavior Change Messaging: Connecting Contextual Bandit with Large Language Models
NANO3D: A Training-Free Approach for Efficient 3D Editing Without Masks
The Art of Tool Interface Design
CDCL-inspired Word-level Learning for Bit-vector Constraint Solving
Wavelet Convolutional Neural Networks for Texture Classification
Dynamic Group Detection using VLM-augmented Temporal Groupness Graph
Do Echo Top Heights Improve Deep Learning Nowcasts?
Memory-enhanced Retrieval Augmentation for Long Video Understanding
On the Use of Geometric Deep Learning Towards the Evaluation of Graph-Centric Engineering Systems
Nearest-neighbour directed random hyperbolic graphs
DREAM: Domain-free Reverse Engineering Attributes of Black-box Model
"Are you sure?": Preliminary Insights from Scaling Product Comparisons to Multiple Shops
Load-balanced Gather-scatter Patterns for Sparse Deep Neural Networks
Bridging Speech Emotion Recognition and Personality: Dataset and Temporal Interaction Condition Network
Outage Analysis of 2×2 MIMO-MRC in Correlated Rician Fading
A General Framework for Multi-focal Image Classification and Authentication: Application to Microscope Pollen Images
Can LLMs Detect Their Confabulations? Estimating Reliability in Uncertainty-Aware Language Models
Comparative Analysis of Control Strategies for Position Regulation in DC Servo Motors
Differential Imaging Forensics
Probabilistic estimates of the diameters of the Rubik's Cube groups
Recurrent Neural Networks for Time Series Forecasting: Current Status and Future Directions
Bilevel approaches for learning of variational imaging models
Efficient Importance Sampling Algorithm Applied to the Performance Analysis of Wireless Communication Systems Estimation
A Deep Learning Approach Towards Generating High-fidelity Diverse Synthetic Battery Datasets
Experience Replay Addresses Loss of Plasticity in Continual Learning
Decentralized Multi-Armed Bandit with Multiple Distributed Players
On the Combinality of Evidence in the Dempster-Shafer Theory
An Enactivist account of Mind Reading in Natural Language Understanding
The Effect of Data Dimensionality on Neural Network Prunability
K-user Interference Channels: General Outer Bound and Sum-capacity for Certain Gaussian Channels
LLMs as a synthesis between symbolic and continuous approaches to language
When no one shows up (at first): Navigating the uncertainties of participatory workshops in interdisciplinary research