yusuke1997/dblp-id-title huggingface dataset:
Leveraging Negative Signals with Self-Attention for Sequential Music Recommendation
Application of QUBO solver using black-box optimization to structural design for resonance avoidance
Collaborative Unlabeled Data Optimization
Cryptocurreny Giveaway Scam with YouTube Live Stream
Zero-Shot Privacy-Aware Text Rewriting via Iterative Tree Search
Inferring genotype-phenotype maps using attention models
Auditing LLM Editorial Bias in News Media Exposure
SAMRI: Segment Anything Model for MRI
VJT: A Video Transformer on Joint Tasks of Deblurring, Low-light Enhancement and Denoising
Partial Graph Reasoning for Neural Network Regularization
Null Models for Community Detection in Spatially-Embedded, Temporal Networks
MonkeyOCR: Document Parsing with a Structure-Recognition-Relation Triplet Paradigm
Episodic Multi-agent Reinforcement Learning with Curiosity-Driven Exploration
Automatic HVAC Control with Real-time Occupancy Recognition and Simulation-guided Model Predictive Control in Low-cost Embedded System
HealthSLM-Bench: Benchmarking Small Language Models for Mobile and Wearable Healthcare Monitoring
Stability analysis and stabilization of systems with hyperexponential rates
Automatic Detection of Injection and Press Mold Parts on 2D Drawing Using Deep Neural Network
UDE-III: An Enhanced Unified Differential Evolution Algorithm for Constrained Optimization Problems
Scroll nets
Block Length Gain for Nanopore Channels
Position Paper on Dataset Engineering to Accelerate Science
Semantics-enhanced Temporal Graph Networks for Content Caching and Energy Saving
Cooperative Data Exchange based on MDS Codes
Double Deep Q-Learning for Optimal Execution
Knowledge Distillation in Generations: More Tolerant Teachers Educate Better Students
HaLert: A Resilient Smart City Architecture for Post-Disaster Based on Wi-Fi HaLow Mesh and SDN
Off-the-Shelf Unsupervised NMT
Hybrid Video Signal Coding Technologies: Past, Current and Future
Testing the Efficacy of Hyperparameter Optimization Algorithms in Short-Term Load Forecasting
AttentionAnatomy: A unified framework for whole-body organs at risk segmentation using multiple partially annotated datasets
Encoding Distributional Soft Actor-Critic for Autonomous Driving in Multi-lane Scenarios
Automatic Pruning via Structured Lasso with Class-wise Information
Enabling Undergrounding of Long-Distance Transmission Lines with Low Frequency AC Technology
Synthesizing Audio with Generative Adversarial Networks
Morality, Machines and the Interpretation Problem: A value-based, Wittgensteinian approach to building Moral Agents
Optimal binning: mathematical programming formulation
A Systematic Literature Review of Blockchain Technology Adoption in Bangladesh
Grouping Environmental Factors Influencing Individual Decision-Making Behavior in Software Projects: A Cluster Analysis
State-of-the-art in Power Line Communications: from the Applications to the Medium
A "Good" Regulator May Provide a World Model for Intelligent Systems
Towards Generating Large Synthetic Phytoplankton Datasets for Efficient Monitoring of Harmful Algal Blooms
Compactly Supported Wavelets Derived From Legendre Polynomials: Spherical Harmonic Wavelets
Automatic Intermodal Loading Unit Identification using Computer Vision: A Scoping Review
A Survey on Large Language Models with Multilingualism: Recent Advances and New Frontiers
Where Have All the Firewalls Gone? Security Consequences of Residential IPv6 Transition
Expressive Value Learning for Scalable Offline Reinforcement Learning
Sparse identification of time delay systems via pseudospectral collocation
Independent perceptual process of microscopic texture and surface shapes through lateral resistive force cues
Survivable Paths in Multilayer Networks
Why we couldn't prove SETH hardness of the Closest Vector Problem for even norms, and of the Subset Sum Problem!
Optimizing hypergraph product codes with random walks, simulated annealing and reinforcement learning
Metropolis-Hastings Algorithms for Estimating Betweenness Centrality in Large Networks
Prediction of Clinical Complication Onset using Neural Point Processes
IFSENet : Harnessing Sparse Iterations for Interactive Few-shot Segmentation Excellence
Outage analysis of Block-Fading Gaussian Interference Channels
State-of-the-Art Underwater Vehicles and Technologies Enabling Smart Ocean: Survey and Classifications
Stochastic Configuration Machines for Industrial Artificial Intelligence
Interpretable cytometry cell-type annotation with flow-based deep generative models
Compressed Sensing Channel Estimation for OFDM with non-Gaussian Multipath Gains
Hiding Sensitive Association Rules without Altering the Support of Sensitive Item(s)
Lightweight Classification of IoT Malware based on Image Recognition
Discovering Traveling Companions using Autoencoders
Nonlinear denoising score matching for enhanced learning of structured distributions
Robi Butler: Remote Multimodal Interactions with Household Robot Assistant
A Graph-Theoretic Model for a Generic Three Jug Puzzle
AdaSGD: Bridging the gap between SGD and Adam
Synthesis of a Predictive Push-Recovery Controller: Simulation Results on the iCub Humanoid Robot
Detecting individual-level infections using sparse group-testing through graph-coupled hidden Markov models
AdaBits: Neural Network Quantization with Adaptive Bit-Widths
A Divergence-Conforming Hybridized Discontinuous Galerkin Method for the Incompressible Magnetohydrodynamics Equations
A message-passing approach for threshold models of behavior in networks
Deep Reinforcement Learning for the Heat Transfer Control of Pulsating Impinging Jets
Baconian: A Unified Opensource Framework for Model-Based Reinforcement Learning
Comparing the Utility, Preference, and Performance of Course Material Search Functionality and Retrieval-Augmented Generation Large Language Model (RAG-LLM) AI Chatbots in Information-Seeking Tasks
Informed Forecasting: Leveraging Auxiliary Knowledge to Boost LLM Performance on Time Series Forecasting
DL-Reg: A Deep Learning Regularization Technique using Linear Regression
Qompose: A Technique to Select Optimal Algorithm- Specific Layout for Neutral Atom Quantum Architectures
Scaling Behaviors of LLM Reinforcement Learning Post-Training: An Empirical Study in Mathematical Reasoning
Statistical inference of the inter-sample Dice distribution for discriminative CNN brain lesion segmentation models
Deep Mining External Imperfect Data for Chest X-ray Disease Screening
Erdos-Hajnal-type theorems in hypergraphs
E-polis: Gamifying Sociological Surveys through Serious Games - A Data Analysis Approach Applied to Multiple-Choice Question Responses Datasets
Quantum Machine Learning: Performance and Security Implications in Real-World Applications
From Amateur to Master: Infusing Knowledge into LLMs via Automated Curriculum Learning
Applying Software Defect Estimations: Using a Risk Matrix for Tuning Test Effort
DOLOMITES: Domain-Specific Long-Form Methodical Tasks
Reconstruction of Quantitative Susceptibility Maps from Phase of Susceptibility Weighted Imaging with Cross-Connected Ψ-Net
AnchorNet: A Weakly Supervised Network to Learn Geometry-sensitive Features For Semantic Matching
Tractable Computation of Expected Kernels by Circuits
Hardware Acceleration of Explainable Artificial Intelligence
A Physical Model-Guided Framework for Underwater Image Enhancement and Depth Estimation
A Novel Approach for Partial Fingerprint Identification to Mitigate MasterPrint Generation
Expansive Supervision for Neural Radiance Field
Islamic Lifestyle Applications: Meeting the Spiritual Needs of Modern Muslims
Content Generation for Workforce Training
Simulator and Experience Enhanced Diffusion Model for Comprehensive ECG Generation
Distributed Economic Model Predictive Control - Addressing Non-convexity Using Social Hierarchies
A Framework for Decoding Event-Related Potentials from Text
Narrowing Class-Wise Robustness Gaps in Adversarial Training
Hyperdimensional Decoding of Spiking Neural Networks
Knowledge Recognition Algorithm enables P = NP
Continuity in Information Algebras
Lifelong Learning Starting From Zero
Towards Data Governance of Frontier AI Models
The complexity of L(p, q)-Edge-Labelling
Augmented Reality in Astrophysics
Singular layer PINN methods for Burgers' equation
Drift Control of High-Dimensional RBM: A Computational Method Based on Neural Networks
XNOR-FORMER: Learning Accurate Approximations in Long Speech Transformers
Snapmoji: Instant Generation of Animatable Dual-Stylized Avatars
Conversational Education at Scale: A Multi-LLM Agent Workflow for Procedural Learning and Pedagogic Quality Assessment
Efficient k -NN Search in IoT Data: Overlap Optimization in Tree-Based Indexing Structures
Beyond C/C++: Probabilistic and LLM Methods for Next-Generation Software Reverse Engineering
Semantic Faithfulness and Entropy Production Measures to Tame Your LLM Demons and Manage Hallucinations
AI-Driven Agents with Prompts Designed for High Agreeableness Increase the Likelihood of Being Mistaken for a Human in the Turing Test
SCEESR: Semantic-Control Edge Enhancement for Diffusion-Based Super-Resolution
A Note on Error Bounds for Pseudo Skeleton Approximations of Matrices
Implicit Label Augmentation on Partially Annotated Clips via Temporally-Adaptive Features Learning
The NetMob25 Dataset: A High-resolution Multi-layered View of Individual Mobility in Greater Paris Region
Incidence coloring game and arboricity of graphs
Multi-Agent Collaboration: Harnessing the Power of Intelligent LLM Agents
A variant of the multi-agent rendezvous problem
A Robust Incomplete Multimodal Low-Rank Adaptation Approach for Emotion Recognition
Max Flow Vitality of Edges and Vertices in Undirected Planar Graphs
Deep Learning in Multi-Layer Architectures of Dense Nuclei
WaveletDiff: Multilevel Wavelet Diffusion For Time Series Generation
The strong vertex span of trees
Optimal Relay Functionality for SNR Maximization in Memoryless Relay Networks
Automated Termination Proofs for Logic Programs by Term Rewriting
A Semantic Model for Audit of Cloud Engines based on ISO/IEC TR 3445:2022
Enhancing Osteoporosis Detection: An Explainable Multi-Modal Learning Framework with Feature Fusion and Variable Clustering
Joint Channel Coding and Cooperative Network Coding on PSK Constellations in Wireless Networks
Tiny Graph Neural Networks for Radio Resource Management
Audio-Visual Talker Localization in Video for Spatial Sound Reproduction
Effect of Word Embedding Variable Parameters on Arabic Sentiment Analysis Performance
Noise-Augmented Boruta: The Neural Network Perturbation Infusion with Boruta Feature Selection
Poxel: Voxel Reconstruction for 3D Printing
Subspace Alignment For Domain Adaptation
Continual Conscious Active Fine-Tuning to Robustify Online Machine Learning Models Against Data Distribution Shifts
Software Engineering und Software Engineering Forschung im Zeitalter der Digitalisierung
A Proposed Practical Problem-Solving Framework for Multi-Stakeholder Initiatives in Socio-Ecological Systems Based on a Model of the Human Cognitive Problem-Solving Process
Camera-Based Localization and Enhanced Normalized Mutual Information
STRAUSS: Sonification Tools & Resources for Analysis Using Sound Synthesis
Morphology Without Borders: Clause-Level Morphological Annotation
Monotone 3-Sat-(2, 2) is NP-complete
Tyche: A Hybrid Computation Framework of Illumination Pattern for Satellite Beam Hopping
Split Learning for Distributed Collaborative Training of Deep Learning Models in Health Informatics
Enabling collaborative data science development with the Ballet framework
Age-driven Joint Sampling and Non-slot Based Scheduling for Industrial Internet of Things
NTP-INT: Network Traffic Prediction-Driven In-band Network Telemetry for High-load Switches
Hyperbolic Graph Neural Networks: A Review of Methods and Applications
Goal Seeking Quadratic Unconstrained Binary Optimization
On Comparing and Enhancing Common Approaches to Network Community Detection
Open Eyes, Then Reason: Fine-grained Visual Mathematical Understanding in MLLMs
SLPerf: a Unified Framework for Benchmarking Split Learning
A Decade of Research in Fog computing: Relevance, Challenges, and Future Directions
A Review of Deep Learning Methods for Photoplethysmography Data
EasyQuant: Post-training Quantization via Scale Optimization
Predicting with Proxies
How Flexible is Your Computing System
On Lightweight Privacy-Preserving Collaborative Learning for Internet of Things by Independent Random Projections
Multi-task Learning with Cross Attention for Keyword Spotting
Kernelization of Constraint Satisfaction Problems: A Study through Universal Algebra
Strategy pattern: payment pattern for Internet banking
Incorporating Contact Network Structure in Cluster Randomized Trials
Artist Similarity with Graph Neural Networks
Proceedings of the WAVES 2024 Conference
SAND: Boosting LLM Agents with Self-Taught Action Deliberation
Stochastic Contrastive Learning
Track-to-Track Association for Collective Perception based on Stochastic Optimization
A Computational Economy for Grid Computing and its Implementation in the Nimrod-G Resource Brok
TEMPERA: Test-Time Prompting via Reinforcement Learning
Score Matching With Missing Data
Distributed stochastic inertial methods with delayed derivatives
IDKM: Memory Efficient Neural Network Quantization via Implicit, Differentiable k-Means
Design of auction-based approach for market clearing in peer-to-peer market platform
Semantic Tree Inference on Text Corpa using a Nested Density Approach together with Large Language Model Embeddings
Detection of road traffic crashes based on collision estimation
PG-SLAM: Photo-realistic and Geometry-aware RGB-D SLAM in Dynamic Environments
Bridging the Safety Gap: A Guardrail Pipeline for Trustworthy LLM Inferences
Improving the Performance of Backward Chained Behavior Trees using Reinforcement Learning
Novel Deep Learning Architecture for Heart Disease Prediction using Convolutional Neural Network
Network MIMO with Partial Cooperation between Radar and Cellular Systems
Improving the Adversarial Robustness and Interpretability of Deep Neural Networks by Regularizing their Input Gradients
Graph Neural Networks for Surgical Scene Segmentation
Switching Recurrent Kalman Networks
Minimal Header Overhead for Random Linear Network Coding
Task scheduling for block-type conflict graphs
VisionDirector: Vision-Language Guided Closed-Loop Refinement for Generative Image Synthesis
From edge-disjoint paths to independent paths
Asymptotic error analysis for the discrete iterated Galerkin solution of Urysohn integral equations with Green's kernels
Embedded Platforms for Computer Vision-based Advanced Driver Assistance Systems: a Survey
Counting unate and balanced monotone Boolean functions
Non-Aligned Distribution Distance using Metric Measure Embedding and Optimal Transport
The complexity of general-valued CSPs seen from the other side
Uniqueness of Minima of a Certain Least Squares Problem
Optimal Placement of Cores, Caches and Memory Controllers in NoC
"Koyi Sawaal Nahi Hai": Reimagining Maternal Health Chatbots for Collective, Culturally Grounded Care
Towards Unified Token Learning for Vision-Language Tracking
Robust Neural IDA-PBC: passivity-based stabilization under approximations
Thinkback: Task-SpecificOut-of-Distribution Detection
Detecting Intentions of Vulnerable Road Users Based on Collective Intelligence
Fully discrete energy-dissipative and conservative discrete gradient particle methods for a class of continuity equations
Single-seed generation of Brownian paths and integrals for adaptive and high order SDE solvers
Agent based simulation of the evolution of society as an alternate maximization problem
Relations on words
Learning-based Reduced Order Model Stabilization for Partial Differential Equations: Application to the Coupled Burgers Equation
Towards Weakly-Supervised Hate Speech Classification Across Datasets
Boost decoding performance of finite geometry LDPC codes with deep learning tactics
Discovering Heuristics with Large Language Models (LLMs) for Mixed-Integer Programs: Single-Machine Scheduling
North-East Lattice Paths Avoiding k Collinear Points via Satisfiability
Does generalization performance of l q regularization learning depend on q? A negative example
DPFedBank: Crafting a Privacy-Preserving Federated Learning Framework for Financial Institutions with Policy Pillars
A Theory of Usable Information Under Computational Constraints
An Exact Algorithm for Computing the Structure of Jordan Blocks
Management of high-tech companies in conditions of import substitution
Identifying Best Candidates for Busbar Splitting
Public Sentiment and Demand for Used Cars after A Large-Scale Disaster: Social Media Sentiment Analysis with Facebook Pages
Differentiable Sparsity via D -Gating: Simple and Versatile Structured Penalization
Exploring the Use of Attention within an Neural Machine Translation Decoder States to Translate Idioms
CAMEL2: Enhancing weakly supervised learning for histopathology images by incorporating the significance ratio
Exploring Differences in Interpretation of Words Essential in Medical Expert-Patient Communication
Drift Reduction for Monocular Visual Odometry of Intelligent Vehicles using Feedforward Neural Networks
From Noise to Clarity: Unraveling the Adversarial Suffix of Large Language Model Attacks via Translation of Text Embeddings
AA-CLIP: Enhancing Zero-shot Anomaly Detection via Anomaly-Aware CLIP
Improving CTC-AED model with integrated-CTC and auxiliary loss regularization
Attention Reveals More Than Tokens: Training-Free Long-Context Reasoning with Attention-guided Retrieval
Learning Motion Priors for Efficient Video Object Detection
Adaptive modeling of urban dynamics during ephemeral event via mobile phone traces
Geometric Generalization Based Zero-Shot Learning Dataset Infinite World: Simple Yet Powerful
Real-time Fruit Recognition and Grasp Estimation for Autonomous Apple harvesting
Information, learning and falsification
BanglaByT5: Byte-Level Modelling for Bangla
Pre-Trained Vision-Language Model Selection and Reuse for Downstream Tasks
Puzzle-CAM: Improved localization via matching partial and full features
Wanderlust: 3D Impressionism in Human Journeys
Fog Computing& IoT: Overview, Architecture and Applications
The א-Calculus: A declarative model of reversible programming
Inertia emulation contribution of Frades 2 variable speed pump-turbine to power network stability
A Quantitative Measure Of Fairness And Discrimination For Resource Allocation In Shared Computer Systems
UniqueQMA vs QMA: oracle separation and eigenstate thermalization hypothesis
Convergence of the Sinkhorn algorithm when the Schrödinger problem has no solution
Identification of Physical Processes and Unknown Parameters of 3D Groundwater Contaminant Problems via Theory-guided U-net
MCPA: Program Analysis as Machine Learning
Cooperative Decision Making of Connected Automated Vehicles at Multi-lane Merging Zone: A Coalitional Game Approach
VideoMerge: Towards Training-free Long Video Generation
Aligned with Whom? Direct and social goals for AI systems
Deeply Embedded Wages: Navigating Digital Payments in Data Work
A bounded confidence approach to understanding user participation in peer production systems
ESAT: Extended Security in the Air using TESLA
Large Language Models meet Network Slicing Management and Orchestration
Predictive Uncertainty Quantification with Compound Density Networks
Quantitative reconstruction of defects in multi-layered bonded composites using fully convolutional network-based ultrasonic inversion
Meta-Heuristic Solutions to a Student Grouping Optimization Problem faced in Higher Education Institutions
Lie-Poisson Neural Networks (LPNets): Data-Based Computing of Hamiltonian Systems with Symmetries
On Robustness of Linear Classifiers to Targeted Data Poisoning
POLAR: Automating Cyber Threat Prioritization through LLM-Powered Assessment
Conceptual In-Context Learning and Chain of Concepts: Solving Complex Conceptual Problems Using Large Language Models
Exploring Word-Representable Temporal Graphs
ScienceWISE: Topic Modeling over Scientific Literature Networks
Visual Recognition of Great Ape Behaviours in the Wild
A framework for developing a knowledge management platform
Clear, Concise and Effective UI: Opinion and Suggestions
Faculty citation measures are highly correlated with peer assessment of computer science doctoral programs
Augmenting Data with Mixup for Sentence Classification: An Empirical Study
When Web 3.0 Meets Reality: A Hyperdimensional Fractal Polytope P2P Ecosystems
Design and testing of an agent chatbot supporting decision making with public transport data
A Simple and Adaptive Learning Rate for FTRL in Online Learning with Minimax Regret of θ(T 2/3 ) and its Application to Best-of-Both-Worlds
SR-GRPO: Stable Rank as an Intrinsic Geometric Reward for Large Language Model Alignment
A Dataset and Toolkit for Multiparameter Cardiovascular Physiology Sensing on Rings
Joint Modelling of Quantum and Classical Noise over Unity Quantum Channel
Quantizer Design for Finite Model Approximations, Model Learning, and Quantized Q-Learning for MDPs with Unbounded Spaces
Detecting lifetime errors of std::string_view objects in C++
Gradients are Not All You Need
Towards a Generalizable Speech Marker for Parkinson's Disease Diagnosis
CurFi: An automated tool to find the best regression analysis model using curve fitting
Effectiveness of Alter Sampling in Social Networks
Multifidelity Orbit Uncertainty Propagation using Taylor Polynomials
X-Prompt: Towards Universal In-Context Image Generation in Auto-Regressive Vision Language Foundation Models
What is an inductive mean?
MemTraceDB: Reconstructing MySQL User Activity Using ActiviTimeTrace Algorithm
Spatial CAPTCHA: Generatively Benchmarking Spatial Reasoning for Human-Machine Differentiation
The Physics of Eccentric Binary Black Hole Mergers. A Numerical Relativity Perspective
Path planning for autonomous vehicles with minimal collision severity
AI and Pathology: Steering Treatment and Predicting Outcomes
EZ-AG: Structure-free data aggregation in MANETs using push-assisted self-repelling random walks
Convex relaxation for finding planted influential nodes in a social network
AUTHENTICATION: Identifying Rare Failure Modes in Autonomous Vehicle Perception Systems using Adversarially Guided Diffusion Models
Reverse Nearest Neighbor Heat Maps: A Tool for Influence Exploration
Neural-Kernelized Conditional Density Estimation
DCAF-Net: Dual-Channel Attentive Fusion Network for Lower Limb Motion Intention Prediction in Stroke Rehabilitation Exoskeletons
Cognitively-inspired homeostatic architecture can balance conflicting needs in robots
Theory of Mind for Explainable Human-Robot Interaction
Negative Statements Considered Useful
Set-membership target search and tracking within an unknown cluttered area using cooperating UAVs equipped with vision systems
Fast Accurate CT Metal Artifact Reduction using Data Domain Deep Learning
Sentence Level Recurrent Topic Model: Letting Topics Speak for Themselves
End-to-End Visual Speech Recognition for Small-Scale Datasets
Extremal Optimization: an Evolutionary Local-Search Algorithm
Twin relationships in Parsimonious Games: some results
Two Basic Queueing Models of Service Platforms in Digital Sharing Economy
Triangle-degrees in graphs and tetrahedron coverings in 3-graphs
A novel method for Causal Structure Discovery from EHR data, a demonstration on type-2 diabetes mellitus
Equilibria, Stability, and Sensitivity for the Aerial Suspended Beam Robotic System subject to Parameter Uncertainty
MCU-MixQ: A HW/SW Co-optimized Mixed-precision Neural Network Design Framework for MCUs
Analysis of User Experience Evaluation Methods for Deaf users: A Case Study on a mobile App
Counting perfect matchings in graphs that exclude a single-crossing minor
Interpreting A Pre-trained Model Is A Key For Model Architecture Optimization: A Case Study On Wav2Vec 2.0
H-RANSAC, an algorithmic variant for Homography image transform from featureless point sets: application to video-based football analytics
Multimodal ML: Quantifying the Improvement of Calorie Estimation Through Image-Text Pairs
Anti-Koopmanism
On Mean Distance and Girth
Universal Reasoning, Rational Argumentation and Human-Machine Interaction