yusuke1997/dblp-id-title huggingface dataset:
Deep Neural Networks for Blind Image Quality Assessment: Addressing the Data Challenge
Understanding Human Context in 3D Scenes by Learning Spatial Affordances with Virtual Skeleton Models
Hierarchical Context enabled Recurrent Neural Network for Recommendation
Study of Set-Membership Adaptive Kernel Algorithms
Channel Attention with Embedding Gaussian Process: A Probabilistic Methodology
Towards time-varying proximal dynamics in Multi-Agent Network Games
An Anytime Algorithm for Good Arm Identification
Training Machine Learning Models by Regularizing their Explanations
Transmissive RIS Enabled Transceiver Systems:Architecture, Design Issues and Opportunities
Ultron: Enabling Temporal Geometry Compression of 3D Mesh Sequences using Temporal Correspondence and Mesh Deformation
JailBound: Jailbreaking Internal Safety Boundaries of Vision-Language Models
Application of Deep Learning in Biological Data Compression
Artificial Intelligence as an Enabler for Cognitive Self-Organizing Future Networks
Through the Thicket: A Study of Number-Oriented LLMs derived from Random Forest Models
Multi-scale Spatio-temporal Transformer-based Imbalanced Longitudinal Learning for Glaucoma Forecasting from Irregular Time Series Images
Best insertion algorithm for resource-constrained project scheduling problem
Land Use and Land Cover Classification Using Deep Learning Techniques
CAM-NET: An AI Model for Whole Atmosphere with Thermosphere and Ionosphere Extension
A Routing and Link Scheduling Strategy for Smart Grid NAN Communications
Over a Decade of Social Opinion Mining
Disentangling Epistemic and Aleatoric Uncertainty in Reinforcement Learning
Bringing Telepresence to Every Desk
CM 3 : Calibrating Multimodal Recommendation
A Deep Q-Network based power control mechanism to Minimize RLF driven Handover Failure in 5G Network
Solving (most) of a set of quadratic equalities: Composite optimization for robust phase retrieval
Sliding-Window Optimization on an Ambiguity-Clearness Graph for Multi-object Tracking
Language models are susceptible to incorrect patient self-diagnosis in medical applications
Circular-Arc Cartograms
First Multi-Dimensional Evaluation of Flowchart Comprehension for Multimodal Large Language Models
Energy-Throughput Tradeoff in Sustainable Cloud-RAN with Energy Harvesting
Regret Analysis of Causal Bandit Problems
SuperCLIP: CLIP with Simple Classification Supervision
Deep Ensembles on a Fixed Memory Budget: One Wide Network or Several Thinner Ones?
VLM-Fuzz: Vision Language Model Assisted Recursive Depth-first Search Exploration for Effective UI Testing of Android Apps
Critical phenomena in complex networks
On the logic of interventionist counterfactuals under indeterministic causal laws
Certified Computation of planar Morse-Smale Complexes
Cross-layer Design for Mission-Critical IoT in Mobile Edge Computing Systems
NeuralGS: Bridging Neural Fields and 3D Gaussian Splatting for Compact 3D Representations
Analysis and Optimization of fastText Linear Text Classifier
Multidimensional Network Monitoring for Intrusion Detection
Next Generation Multicuts for Semi-Planar Graphs
Trinary Tools for Continuously Valued Binary Classifiers
Robust Classification with Sparse Representation Fusion on Diverse Data Subsets
Synthetic Document Generator for Annotation-free Layout Recognition
HiSpec: Hierarchical Speculative Decoding for LLMs
Tractable Querying and Learning in Hybrid Domains via Sum-Product Networks
Hybrid Weight Window Method for Global Time-Dependent Monte Carlo Particle Transport Calculations
Approximating Optimal Bounds in Prompt-LTL Realizability in Doubly-exponential Time
Building up user confidence for the spaceborne derived global and continental land cover products for the Mediterranean region: the case of Thessaly
Complete Log Concavity of Coverage-Like Functions
Crowds for Clouds: Recent Trends in Humanities Research Infrastructures
Asynchronous MPI for the Masses
A clustering approach to heterogeneous change detection
Index-Stratified Types (Extended Version)
Multi-UAV Behavior-based Formation with Static and Dynamic Obstacles Avoidance via Reinforcement Learning
Refinement strategies for polygonal meshes applied to adaptive VEM discretization
Towards Principled Causal Effect Estimation by Deep Identifiable Models
Classifying the classifier: dissecting the weight space of neural networks
Counterfactual Basis Extension and Representational Geometry: An MDL-Constrained Model of Conceptual Growth
Dense Fully Convolutional Network for Skin Lesion Segmentation
AD-AGENT: A Multi-agent Framework for End-to-end Anomaly Detection
Generalized Multi-Speed Dubins Motion Model
Kosmos: An AI Scientist for Autonomous Discovery
An AI-based Solution for Enhancing Delivery of Digital Learning for Future Teachers
Deep Visual Servoing of an Aerial Robot Using Keypoint Feature Extraction
Detecting, Representing and Querying Collusion in Online Rating Systems
Lightweight Spatial-Channel Adaptive Coordination of Multilevel Refinement Enhancement Network for Image Reconstruction
De-STT: De-entaglement of unwanted Nuisances and Biases in Speech to Text System using Adversarial Forgetting
Analysis of artifacts in EEG signals for building BCIs
ConcertoRL: An Innovative Time-Interleaved Reinforcement Learning Approach for Enhanced Control in Direct-Drive Tandem-Wing Vehicles
An Improvement on Ranks of Explicit Tensors
Efficient algorithms for tensor scaling, quantum marginals and moment polytopes
Pinto: A latched spring actuated robot for jumping and perching
Optimized Preprocessing and Machine Learning for Quantitative Raman Spectroscopy in Biology
Concurrent Alternating Least Squares for multiple simultaneous Canonical Polyadic Decompositions
Graph Neural Networks for Double-Strand DNA Breaks Prediction
Deceptive Sequential Decision-Making via Regularized Policy Optimization
Energy-Efficient and Actuator-Friendly Control Under Wave Disturbances: Model Reference vs. PID for Thruster Surge
Gradient Alignment in Physics-informed Neural Networks: A Second-Order Optimization Perspective
On the Complexity of Finding Small Subgradients in Nonsmooth Optimization
An Individual Identity-Driven Framework for Animal Re-Identification
Channel Service Based High Speed Railway Base Station Arrangement
FAAGC: Feature Augmentation on Adaptive Geodesic Curve Based on the shape space theory
MLP-KAN: Unifying Deep Representation and Function Learning
HHNAS-AM: Hierarchical Hybrid Neural Architecture Search using Adaptive Mutation Policies
Can a Chatbot Determine My Diet?: Addressing Challenges of Chatbot Application for Meal Recommendation
Reinforcement Learning Your Way: Agent Characterization through Policy Regularization
Generative Convolutional Networks for Latent Fingerprint Reconstruction
Calibrated Multi-Level Quantile Forecasting
Forecasting for Social Good
Simple BERT Models for Relation Extraction and Semantic Role Labeling
Flickers Forecasting In CRT Using Stochastic Analysis
Patch-based Progressive 3D Point Set Upsampling
3D-0D closed-loop model for the simulation of cardiac biventricular electromechanics
Towards Fair Affective Robotics: Continual Learning for Mitigating Bias in Facial Expression and Action Unit Recognition
Role-based similarity in directed networks
Towards an Improved Taxonomy of Attacks related to Digital Identities and Identity Management Systems
Comprehensive Study on Lumbar Disc Segmentation Techniques Using MRI Data
Qualitatively characterizing neural network optimization problems
Interactive Medical Image Segmentation with Self-Adaptive Confidence Calibration
Deep Learning Anomaly Detection for Cellular IoT with Applications in Smart Logistics
Video as the New Language for Real-World Decision Making
DocR1: Evidence Page-Guided GRPO for Multi-Page Document Understanding
Compositional Bias Control in Large Language Models: Preference Learning Fails, Supervision Succeeds
The Game of Cops and Robber on (Claw, Even-hole)-free Graphs
Attention, Compilation, and Solver-based Symbolic Analysis are All You Need
Quantum Circuit Design using a Progressive Widening Monte Carlo Tree Search
Noisy-Correspondence Learning for Text-to-Image Person Re-identification
Can ChatGPT predict article retraction based on Twitter mentions?
iDECODe: In-distribution Equivariance for Conformal Out-of-distribution Detection
From One Point to A Manifold: Orbit Models for Knowledge Graph Embedding
Retail Central Bank Digital Currencies (CBDC), Disintermediation and Financial Privacy: The Case of the Bahamian Sand Dollar
A Lightweight Framework for Adaptive Retrieval In Code Completion With Critique Model
Supervised Learning Enhanced by an Entangled Sensor Network
Block Modulating Video Compression: An Ultra Low Complexity Image Compression Encoder for Resource Limited Platforms
Retention Time Prediction for Chromatographic Enantioseparation by Quantile Geometry-enhanced Graph Neural Network
Tensor-GaLore: Memory-Efficient Training via Gradient Tensor Decomposition
Panoptic-PolarNet: Proposal-free LiDAR Point Cloud Panoptic Segmentation
GateChain: A Blockchain Based Application for Country Entry Exit Registry Management
Orchestrated Trios: Compiling for Efficient Communication in Quantum Programs with 3-Qubit Gates
DeepAL for Regression Using ε-weighted Hybrid Query Strategy
Detecting and Mitigating Bias in LLMs through Knowledge Graph-Augmented Training
Bridging the Gap Between Safety and Real-Time Performance in Receding-Horizon Trajectory Design for Mobile Robots
Enhancing Clinical Decision Support and EHR Insights through LLMs and the Model Context Protocol: An Open-Source MCP-FHIR Framework
Numerical Artifacts in Learning Dynamical Systems
Fusing Structural and Functional Connectivities using Disentangled VAE for Detecting MCI
Multi-agent systems, Equiprobability, Gamma distributions and other Geometrical questions
Offline Contextual Bayesian Optimization for Nuclear Fusion
The 2-center Problem in Maximal Outerplanar Graph
Extended block Hessenberg process for the evaluation of matrix functions
Low-Cost Superconducting Fan-Out with Repurposed Josephson Junctions
SpeechLLM: Unified Speech and Language Model for Enhanced Multi-Task Understanding in Low Resource Settings
VoiceExtender: Short-utterance Text-independent Speaker Verification with Guided Diffusion Model
A Novel CMAQ-CNN Hybrid Model to Forecast Hourly Surface-Ozone Concentrations Fourteen Days in Advance
REZCR: A Zero-shot Character Recognition Method via Radical Extraction
Lower Complexity Bounds for Lifted Inference
cecilia: A Machine Learning-Based Pipeline for Measuring Metal Abundances of Helium-rich Polluted White Dwarfs
Intrinsic Motivation Driven Intuitive Physics Learning using Deep Reinforcement Learning with Intrinsic Reward Normalization
A Performance Investigation of Multimodal Multiobjective Optimization Algorithms in Solving Two Types of Real-World Problems
The Role of Flexible Connection in Accelerating Load Interconnection in Distribution Networks
The role of data-induced randomness in quantum machine learning classification tasks
A scoping review of using Large Language Models (LLMs) to investigate Electronic Health Records (EHRs)
Elusive Codes in Hamming Graphs
Mutual information neural estimation for unsupervised multi-modal registration of brain images
Financial Fraud Detection Using Explainable AI and Stacking Ensemble Methods
Spatial Transformer Point Convolution
Nature versus nurture in galaxy formation: the effect of environment on star formation with causal machine learning
Training-free Conversion of Pretrained ANNs to SNNs for Low-Power and High-Performance Applications
Review on Telemonitoring of Maternal Health care Targeting Medical Cyber-Physical Systems
ChatGPT-Like Large-Scale Foundation Models for Prognostics and Health Management: A Survey and Roadmaps
Convergence analysis for a tree-based nonlinear reduced basis method
Solving a Mixture of Many Random Linear Equations by Tensor Decomposition and Alternating Minimization
Raijū: Reinforcement Learning-Guided Post-Exploitation for Automating Security Assessment of Network Systems
Battling the Coronavirus 'Infodemic' Among Social Media Users in Africa
A circular version of Gödel's T and its abstraction complexity
OpenEarthSensing: Large-Scale Fine-Grained Benchmark for Open-World Remote Sensing
Exploiting Spin-Orbit Torque Devices as Reconfigurable Logic for Circuit Obfuscation
Epigenetics Algorithms: Self-Reinforcement-Attention mechanism to regulate chromosomes expression
Designing, 3D Printing of a Quadruped Robot and Choice of Materials for Fabrication
CHaRNet: Conditioned Heatmap Regression for Robust Dental Landmark Localization
Knowledge Discovery from Social Media using Big Data provided Sentiment Analysis (SoMABiT)
A New Perspective for Understanding Generalization Gap of Deep Neural Networks Trained with Large Batch Sizes
Can We Trust the Unlabeled Target Data? Towards Backdoor Attack and Defense on Model Adaptation
Financial Market Prediction
Grading of Mammalian Cumulus Oocyte Complexes using Machine Learning for in Vitro Embryo Culture
Predicting Enemy's Actions Improves Commander Decision-Making
Optimizing Shallow Networks for Binary Classification
Optimizing model-agnostic Random Subspace ensembles
Hedging American Put Options with Deep Reinforcement Learning
TAToo: Vision-based Joint Tracking of Anatomy and Tool for Skull-base Surgery
High Resolution 3D Ultrasonic Breast Imaging by Time-Domain Full Waveform Inversion
Fuzzy Adaptive Resonance Theory, Diffusion Maps and their applications to Clustering and Biclustering
C-Balancer: A System for Container Profiling and Scheduling
Automated Source Code Generation and Auto-completion Using Deep Learning: Comparing and Discussing Current Language-Model-Related Approaches
Scattering Networks on Noncommutative Finite Groups
RL-DAUNCE: Reinforcement Learning-Driven Data Assimilation with Uncertainty-Aware Constrained Ensembles
Asset Allocation: From Markowitz to Deep Reinforcement Learning
Stability Analysis of Nash Equilibrium for 2-Agent Loss-Aversion-Based Noncooperative Switched Systems
Realistic Modeling of Human Timings for Wearable Cognitive Assistance
The landscape of software for tensor computations
Do We Really Even Need Data? A Modern Look at Drawing Inference with Predicted Data
BaKlaVa - Budgeted Allocation of KV cache for Long-context Inference
Tableaux for the Logic of Strategically Knowing How
Generating Compositional Scenes via Text-to-image RGBA Instance Generation
Selecting task with optimal transport self-supervised learning for few-shot classification
Extracting real estate values of rental apartment floor plans using graph convolutional networks
A Tight Subexponential-time Algorithm for Two-Page Book Embedding
StereoDETR: Stereo-based Transformer for 3D Object Detection
Collective Argumentation
Can Research be Taught?
Distilling Analysis from Generative Models for Investment Decisions
Radial Bayesian Neural Networks: Robust Variational Inference In Big Models
Adopting a software product line engineering approach in industrial development contexts: A protocol for a systematic literature review
Effects of High-Order Co-occurrences on Word Semantic Similarities
Social Game for Building Energy Efficiency: Utility Learning, Simulation, and Analysis
Forecasting in Big Data Environments: an Adaptable and Automated Shrinkage Estimation of Neural Networks (AAShNet)
On the Cyber-Physical Security of Commercial Indoor Delivery Robot Systems
Scaling Laws and Techniques in Decentralized Processing of Interfered Gaussian Channels
Beyond ReAct: A Planner-Centric Framework for Complex Tool-Augmented LLM Reasoning
Parallelization of Monte Carlo Tree Search in Continuous Domains
Acceptance of an Augmented Society: Initial Explorations into the Acceptability of Augmenting Real World Locations
The Effect of Spatial Coupling on Compressive Sensing
TimeStampEval: A Simple LLM Eval and a Little Fuzzy Matching Trick to Improve Search Accuracy
Stability and regularization for ill-posed Cauchy problem of a stochastic parabolic differential equation
Verification of data-aware workflows via reachability: formalisation and experiments
Extending Acyclicity Notions for Existential Rules (\emph{long version})
CHESSIoT support of event-based modeling for the Internet of Things applications
Can Large Language Models Automate the Refinement of Cellular Network Specifications?
Query Answering in Object Oriented Knowledge Bases in Logic Programming: Description and Challenge for ASP
Unequal Error Protected JPEG 2000 Broadcast Scheme with Progressive Fountain Codes
Passivity of Electrical Transmission Networks modelled using Rectangular and Polar D-Q variables
Mixed-criticality Scheduling with Dynamic Redistribution of Shared Cache
Empirical cross-system meta-analysis of long-term transmission grid evolution
A Bi-Scheduler Algorithm for Frame Aggregation in IEEE 802.11n
Fairness-Utility Trade-off via Wasserstein Projection
A Learning-based Optimization Algorithm: Image Registration Optimizer Network
THz Transmission meets Untrusted UAV-Relaying; Trajectory and Communication Co-design for Secrecy Energy Efficiency Maximization
The training response law explains how deep neural networks learn
Wasserstein Steepest Descent Flows of Discrepancies with Riesz Kernels
Small Private Circuits
Agent-Based Modeling and Simulation of Connected and Automated Vehicles Using Game Engine: A Cooperative On-Ramp Merging Study
Physics of Language Models: Part 4.1, Architecture Design and the Magic of Canon Layers
The alternative operad is not Koszul
Lp-Regularized Least Squares (0<p<1) and Critical Path
Gauss-Vanicek Spectral Analysis of the Sepkoski Compendium: No New Life Cycles
MinConvNets: A new class of multiplication-less Neural Networks
Improving the Accuracy and Robustness of CNNs Using a Deep CCA Neural Data Regularizer
A Nonexistence Certificate for Projective Planes of Order Ten with Weight 15 Codewords
Needle in the Haystack for Memory Based Large Language Models
Injecting Text and Cross-lingual Supervision in Few-shot Learning from Self-Supervised Models
Efficient Partition-based Approaches for Diversified Top-k Subgraph Matching
A Generalized Criterion for Signature Related Gröbner Basis Algorithms
Hyperparameter Optimization for Large Language Model Instruction-Tuning
On Periodic Functions as Regularizers for Quantization of Neural Networks
Container-based Cluster Orchestration Systems: A Taxonomy and Future Directions
Boosting 3D Adversarial Attacks with Attacking On Frequency
Improving Actor-Critic Reinforcement Learning via Hamiltonian Policy
Solving Constrained CASH Problems with ADMM
Learning from Indirect Observations
A unified immersed finite element error analysis for one-dimensional interface problems
Analysis of WDM-PON for Next-Generation Back- and Fronthaul
SFQ counter-based precomputation for large-scale cryogenic VQE machines
Object-based multi-temporal and multi-source land cover mapping leveraging hierarchical class relationships
Long-Form End-to-End Speech Translation via Latent Alignment Segmentation
LiePrune: Lie Group and Quantum Geometric Dual Representation for One-Shot Structured Pruning of Quantum Neural Networks
MM-Prompt: Cross-Modal Prompt Tuning for Continual Visual Question Answering
Aerial Imagery for Roof Segmentation: A Large-Scale Dataset towards Automatic Mapping of Buildings
CSDN: Cross-modal Shape-transfer Dual-refinement Network for Point Cloud Completion
Powder-Bot: A Modular Autonomous Multi-Robot Workflow for Powder X-Ray Diffraction
Tactile Melodies: A Desk-Mounted Haptics for Perceiving Musical Experiences
Learning to Coordinate with Experts
On a novel training algorithm for sequence-to-sequence predictive recurrent networks
Analyzing Local Representations of Self-supervised Vision Transformers
Adaptive Benders decomposition and enhanced SDDP for multistage stochastic programs with block-separable multistage recourse
On the Mathematical Relationship between Expected n-call@k and the Relevance vs. Diversity Trade-off
Variation Control and Evaluation for Generative SlateRecommendations
From Sicilian mafia to Chinese "scam villages"
Assessing Robustness to Spurious Correlations in Post-Training Language Models
A Universal Model for Cross Modality Mapping by Relational Reasoning
Learning Belief Network Structure From Data under Causal Insufficiency
On Asymptotic Covariances of A Few Unrotated Factor Solutions
MAPEX: Modality-Aware Pruning of Experts for Remote Sensing Foundation Models
3D Imaging of Complex Specular Surfaces by Fusing Polarimetric and Deflectometric Information
TACTICS: TACTICal Service Oriented Architecture
Correction of Automatic Speech Recognition with Transformer Sequence-to-sequence Model
ProbTest: Unit Testing for Probabilistic Programs (Extended Version)
Energy stability analysis of turbulent incompressible flow based on the triple decomposition of the velocity gradient tensor
Community detection in complex networks via node similarity, graph representation learning, and hierarchical clustering
Open Multi-Agent Systems with Variable Size: the Case of Gossiping
Microservice Architecture Practices and Experience: a Focused Look on Docker Configuration Files
Tight Algorithm for Connected Odd Cycle Transversal Parameterized by Clique-width
Understanding Space Is Rocket Science - Only Top Reasoning Models Can Solve Spatial Understanding Tasks
One-way Hash Function Based on Neural Network
Local NMPC on Global Optimised Path for Autonomous Racing
Comparison of Representation Learning Techniques for Tracking in time resolved 3D Ultrasound
Change Detection and Notification of Webpages: A Survey
Overdrawing Urns using Categories of Signed Probabilities
Outliers and Calibration Sets have Diminishing Effect on Quantization of Modern LLMs
Dynamic Joint Uplink and Downlink Optimization for Uplink and Downlink Decoupling-Enabled 5G Heterogeneous Networks
Clustering in pure-attention hardmax transformers and its role in sentiment analysis
Improving Lyrics Alignment through Joint Pitch Detection
A Finite Characterization of Perfect Equilibria
Inner-IoU: More Effective Intersection over Union Loss with Auxiliary Bounding Box
3-D Channel Characteristics for Molecular Communications with an Absorbing Receiver
IoT Smart City Architectures an Analytical Evaluation
Efficient Gaussian Process Classification Using Polya-Gamma Data Augmentation
Explainable Artificial Intelligence (XAI) 2.0: A Manifesto of Open Challenges and Interdisciplinary Research Directions
Performance of UAV-assisted D2D Networks in the Finite Block-length Regime
Inclusion, equality and bias in designing online mass deliberative platforms
Cut Elimination in Multifocused Linear Logic
Hypergraph Splitting-off and Covering Skew-Supermodular Functions in Strongly Polynomial Time
On the categorization of scientific citation profiles in computer sciences
A Graph-Based Platform for Customer Behavior Analysis using Applications' Clickstream Data
Online Classification with Complex Metrics
Productivity profile of CNPq scholarship researchers in computer science from 2017 to 2021
A Streamline upwind Petrov-Galerkin Reduced Order Method for Advection-Dominated Partial Differential Equations under Optimal Control
Separating k-Median from the Supplier Version
How to integrate with real cars - minimizing lead time at Volkswagen
Holistic SparseCNN: Forging the Trident of Accuracy, Speed, and Size
With False Friends Like These, Who Can Have Self-Knowledge?
Enhancing network robustness for malicious attacks
TASTE: Text-Aligned Speech Tokenization and Embedding for Spoken Language Modeling
NMPC and Deep Learning-Based Vibration Control of Satellite Beam Antenna Dynamics Using PZT Actuators and Sensors
New algorithms for the simplification of multiple trajectories under bandwidth constraints
Sentiment Analysis of Code-Mixed Indian Languages: An Overview of SAIL_Code-Mixed Shared Task @ICON-2017
EEG_GLT-Net: Optimising EEG Graphs for Real-time Motor Imagery Signals Classification
Fractal Calibration for long-tailed object detection
Universal Adversarial Defense in Remote Sensing Based on Pre-trained Denoising Diffusion Models
A Refined Experience Sampling Method to Capture Mobile User Experience
Transfer Learning for the Prediction of Entity Modifiers in Clinical Text: Application to Opioid Use Disorder Case Detection
Review for future research in digital leadership