yusuke1997/dblp-id-title huggingface dataset:
Targeted aspect based multimodal sentiment analysis: an attention capsule extraction and multi-head fusion network
Sum of squares certificates for stability of planar, homogeneous, and switched systems
AI-driven, Model-Free Current Control: A Deep Symbolic Approach for Optimal Induction Machine Performance
One Strike, You're Out: Detecting Markush Structures in Low Signal-to-Noise Ratio Images
The Ghanaian NLP Landscape: A First Look
A Framework for Federated SPARQL Query Processing over Heterogeneous Linked Data Fragments
Robust transport over networks
Towards Efficient Hash Maps in Functional Array Languages
Four-in-One: A Joint Approach to Inverse Text Normalization, Punctuation, Capitalization, and Disfluency for Automatic Speech Recognition
EICO: Energy-Harvesting Long-Range Environmental Sensor Nodes with Energy-Information Dynamic Co-Optimization
Group Testing for Efficiently Sampling Hypergraphs When Tests Have Variable Costs
Multi-View Adaptive Contrastive Learning for Information Retrieval Based Fault Localization
Efficient c-planarity testing algebraically
Machine Learning Algorithms for Improving Exact Classical Solvers in Mixed Integer Continuous Optimization
An Algorithm for Computing Cusp Points in the Joint Space of 3-RPR Parallel Manipulators
W-RNN: News text classification based on a Weighted RNN
PMODE: Prototypical Mask based Object Dimension Estimation
Measuring Information in Text Explanations
Psychophysical Machine Learning
Combating the Bucket Effect:Multi-Knowledge Alignment for Medication Recommendation
A Modulus-Squared Dirichlet Boundary Condition for Time-Dependent Complex Partial Differential Equations and its Application to the Nonlinear Schödinger Equation
Machine learning for recovery factor estimation of an oil reservoir: a tool for de-risking at a hydrocarbon asset evaluation
An Empirical Exploration of Cross-domain Alignment between Language and Electroencephalogram
A New Technique for Text Data Compression
Introducing a Harmonic Balance Navier-Stokes Finite Element Solver to Accelerate Cardiovascular Simulations
Efficient Weak Galerkin Finite Element Methods for Maxwell Equations on polyhedral Meshes without Convexity Constraints
Kandinsky 3: Text-to-Image Synthesis for Multifunctional Generative Framework
Learning Reporting Dynamics during Breaking News for Rumour Detection in Social Media
Large-Scale Product Retrieval with Weakly Supervised Representation Learning
The Role of Temporal Hierarchy in Spiking Neural Networks
High Dimensional Discrete Integration by Hashing and Optimization
Do Unit Proofs Work? An Empirical Study of Compositional Bounded Model Checking for Memory Safety Verification
Predictable Disruption Tolerant Networks and Delivery Guarantees
HTR-ConvText: Leveraging Convolution and Textual Information for Handwritten Text Recognition
NetSyn: Neural Evolutionary Technique to Synthesize Programs
6-cycle double covers of cubic graphs
Causes and Explanations: A Structural-Model Approach, Part I: Causes
A solution concept for games with altruism and cooperation
Reevaluating Policy Gradient Methods for Imperfect-Information Games
Secret-Key Capacity from MIMO Channel Probing
Mobiles ortsbezogenes Projektmanagement
Credibility of Automatic Appraisal of Domain Names
Mini-InternVL: A Flexible-Transfer Pocket Multimodal Model with 5% Parameters and 90% Performance
ars548_ros. An ARS 548 RDI radar driver for ROS2
ABCP: Automatic Block-wise and Channel-wise Network Pruning via Joint Search
A Video Is Not Worth a Thousand Words
Network Bending of Diffusion Models for Audio-Visual Generation
Continuous Phase Modulation With Faster-than-Nyquist Signaling for Channels With 1-bit Quantization and Oversampling at the Receiver
Multi-Task Deep Recommender Systems: A Survey
Deployable Reinforcement Learning with Variable Control Rate
Self-paced Principal Component Analysis
A brief introduction to matrix hydrodynamics
Limited but consistent gains in adversarial robustness by co-training object recognition models with human EEG
A Comprehensive Review of Phase-Averaged and Phase-Resolving Wave Models for Coastal Modeling Applications
Bag-of-Visual-Words for Signature-Based Multi-Script Document Retrieval
Design a Delicious Lunchbox in Style
Linking GloVe with word2vec
Encoding of Network Protection Codes Against Link and Node Failures Over Finite Fields
Breaking the Curse of Dimensionality in Deep Neural Networks by Learning Invariant Representations
Retrieval and Generative Approaches for a Pregnancy Chatbot in Nepali with Stemmed and Non-Stemmed Data : A Comparative Study
SPChain: Blockchain-based Medical Data Sharing and Privacy-preserving eHealth System
Utilization of Reconfigurable Intelligent Surfaces with Context Information: Use Cases
Adaptive Initial Residual Connections for GNNs with Theoretical Guarantees
Wind Power Transmission System Integration - a Case Study of China Wind Power Base
Shesop Healthcare: Android application to monitor heart rate variance, display influenza and stress condition using Polar H7
Single-Shot Decoding of Biased-Tailored Quantum LDPC Codes
A Bilevel Optimization Framework for Imbalanced Data Classification
Mapping Matchings to Minimum Vertex Covers: Kőnig's Theorem Revisited
Information, Computation, Cognition. Agency-based Hierarchies of Levels
Statistical Properties of Links of Network: A Survey on the Shipping Lines of Worldwide Marine Transport Network
Query-oriented Data Augmentation for Session Search
Do Satellite Tasks Need Special Pretraining?
Optimization for Speculative Execution of Multiple Jobs in a MapReduce-like Cluster
Data Augmentation by Selecting Mixed Classes Considering Distance Between Classes
Disentangling segmental and prosodic factors to non-native speech comprehensibility
Enabling AI Scientists to Recognize Innovation: A Domain-Agnostic Algorithm for Assessing Novelty
Perceptions of YouTube's political influence
Effective Mori-Zwanzig equation for the reduced-order modeling of stochastic systems
Cuspidal and Noncuspidal Robot Manipulators
Fairness measures for biometric quality assessment
P 2 Net: Patch-match and Plane-regularization for Unsupervised Indoor Depth Estimation
Generative AI-enhanced Low-Altitude UAV-Mounted Stacked Intelligent Metasurfaces
OutlierDetection.jl: A modular outlier detection ecosystem for the Julia programming language
Deep learning in physics: a study of dielectric quasi-cubic particles in a uniform electric field
Thermal Implications of Non-Uniform Power in BSPDN-Enabled 2.5D/3D Chiplet-based Systems-in-Package using Nanosheet Technology
Random Search for Hyperparameters using Determinantal Point Processes
SyncNoise: Geometrically Consistent Noise Prediction for Text-based 3D Scene Editing
Real-time Hybrid System Identification with Online Deterministic Annealing
Extended critical regimes of deep neural networks
Intrinsic Image Decomposition using Paradigms
The Application of Mamdani Fuzzy Model for Auto Zoom Function of a Digital Camera
Multi-label out-of-distribution detection via evidential learning
TinyLLaVA: A Framework of Small-scale Large Multimodal Models
Incoherence in goal-conditioned autoregressive models
Recent Advances in Multi-Choice Machine Reading Comprehension: A Survey on Methods and Datasets
Trusted-Maximizers Entropy Search for Efficient Bayesian Optimization
An all Froude high order IMEX scheme for the shallow water equations on unstructured Voronoi meshes
Quantification of groundnut leaf defects using image processing algorithms
Calculating Customer Lifetime Value and Churn using Beta Geometric Negative Binomial and Gamma-Gamma Distribution in a NFT based setting
QoS-Aware Service Restoration in 5G Optical Transport Networks
Neutralizing the Narrative: AI-Powered Debiasing of Online News Articles
Data augmentation for dealing with low sampling rates in NILM
A Generative Neural Network Framework for Automated Software Testing
Geology prediction based on operation data of TBM: comparison between deep neural network and statistical learning methods
Network Inversion and Its Applications
NBR: Neutralization Based Reclamation
Segmentation of Lungs COVID Infected Regions by Attention Mechanism and Synthetic Data
Strategies to exploit XAI to improve classification systems
Improving Diffusion Models for Virtual Try-on
Deep Learning based Key Information Extraction from Business Documents: Systematic Literature Review
Compressed Differential Erasure Codes for Efficient Archival of Versioned Data
Towards Event-Triggered NMPC for Efficient 6G Communications: Experimental Results and Open Problems
Beyond S-curves: Recurrent Neural Networks for Technology Forecasting
3D Brain MRI Classification for Alzheimer Diagnosis Using CNN with Data Augmentation
Style-aware Neural Model with Application in Authorship Attribution
Hybrid Reinforced Medical Report Generation with M-Linear Attention and Repetition Penalty
StackGAN: Text to Photo-realistic Image Synthesis with Stacked Generative Adversarial Networks
Palmistry-Informed Feature Extraction and Analysis using Machine Learning
ICE: Information Credibility Evaluation on Social Media via Representation Learning
The Role of Hyperparameters in Predictive Multiplicity
How built environment shapes cycling experience: A multi-scale review in historical urban contexts
Fair Pricing In Heterogeneous Internet of Things Wireless Access Networks Using Crowdsourcing
POLAR: Preference Optimization and Learning Algorithms for Robotics
Evaluation of No Reference Bitstream-based Video Quality Assessment Methods
Neural heuristics for SAT solving
Hybrid Q-Learning Applied to Ubiquitous recommender system
Performance Benchmarking of Machine Learning Models for Terahertz Metamaterial Absorber Prediction
Utilizing ChatGPT to Enhance Clinical Trial Enrollment
Integrating Over-the-Air Federated Learning and Non-Orthogonal Multiple Access: What Role can RIS Play?
Visual-Inertial SLAM for Agricultural Robotics: Benchmarking the Benefits and Computational Costs of Loop Closing
Distributed Versioned Object Storage - Alternatives at the OSD layer (Poster Extended Abstract)
Supply Function Equilibrium in Networked Electricity Markets
Human-Inspired Learning for Large Language Models via Obvious Record and Maximum-Entropy Method Discovery
Quantum Cloud Computing: A Review, Open Problems, and Future Directions
Predictive Learning in Energy-based Models with Attractor Structures
The virtual element method on image-based domain approximations
Flat tori with large Laplacian eigenvalues in dimensions up to eight
Quantum Reinforcement Learning by Adaptive Non-local Observables
InnovationInsights: A Visual Analytics Approach for Understanding the Dual Frontiers of Science and Technology
The gift of the gab: Are rental scammers skilled at the art of persuasion?
Hydrogen Supply Infrastructure Network Planning Approach towards Chicken-egg Conundrum
Wolf Hidden in Sheep's Conversations: Toward Harmless Data-Based Backdoor Attacks for Jailbreaking Large Language Models
Lipschitz minimization and the Goldstein modulus
Ring-Rotor: A Novel Retractable Ring-shaped Quadrotor with Aerial Grasping and Transportation Capability
Designing Low Cost and Energy Efficient Access Network for the Developing World
How to choose a PIN - assessment of dictionary methods
A Generalized Multigrid Method for Solving Contact Problems in Lagrange Multiplier based Unfitted Finite Element Method
Machine learning-based multimodal prognostic models integrating pathology images and high-throughput omic data for overall survival prediction in cancer: a systematic review
Hector: Using Untrusted Browsers to Provision Web Applications
A Faster Structured-Tag Word-Classification Method
Analogies between the crossing number and the tangle crossing number
Balancing Signal and Variance: Adaptive Offline RL Post-Training for VLA Flow Models
Collision and Obstacle Avoidance for Industrial Autonomous Vehicles - Simulation and Experimentation Based on a Cooperative Approach
On-Device Neural Net Inference with Mobile GPUs
Google Spain v. Gonzáles: Did the Court forget about freedom of expression?
Optimizing Service Orchestrations
Delayed Feedback Modeling for the Entire Space Conversion Rate Prediction
Sorting Networks: The Final Countdown
A Linear Inverse Model for Colored-Gaussian Noise
300 GHz Radar Object Recognition based on Deep Neural Networks and Transfer Learning
Navigating Intersections with Autonomous Vehicles using Deep Reinforcement Learning
DiffDesign: Controllable Diffusion with Meta Prior for Efficient Interior Design Generation
Robust RL with LLM-Driven Data Synthesis and Policy Adaptation for Autonomous Driving
Intuitionistic Non-Normal Modal Logics: A general framework
Large Language Models are Few-shot Multivariate Time Series Classifiers
LiteNeXt: A Novel Lightweight ConvMixer-based Model with Self-embedding Representation Parallel for Medical Image Segmentation
Source-Channel Coding Theorems for the Multiple-Access Relay Channe
Understanding Application-Level Caching in Web Applications: A Comprehensive Introduction and Survey of State-of-the-Art
Predicting the Future by Retrieving the Past
Image-Based Plant Wilting Estimation
Poisson Cluster Process Based Analysis of HetNets with Correlated User and Base Station Locations
Fusion of Multispectral Data Through Illumination-aware Deep Neural Networks for Pedestrian Detection
The mobile information and educational environment of higher educational institution
Modernizing CNN-based Weather Forecast Model towards Higher Computational Efficiency
Matching Game Preferences Through Dialogical Large Language Models: A Perspective
Deep Learning for Automated Identification of Vietnamese Timber Species: A Tool for Ecological Monitoring and Conservation
Interpolating Rotations with Non-abelian Kuramoto Model on the 3-Sphere
On Universality Classes of Equivariant Networks
Information spreading in a large population of active transmitters and passive receivers
Evaluating Large Language Models for Document-grounded Response Generation in Information-Seeking Dialogues
On computing the fixpoint of a set of boolean equations
Multi-Antenna Users in Cell-Free Massive MIMO: Stream Allocation and Necessity of Downlink Pilots
An AI-based Approach for Tracing Content Requirements in Financial Documents
Fuss-Free Network: A Simplified and Efficient Neural Network for Crowd Counting
Auction-based Incentive Mechanisms for Dynamic Mobile Ad-Hoc Crowd Service
Diffusion-based Iterative Counterfactual Explanations for Fetal Ultrasound Image Quality Assessment
Linear Kernels for Separating a Graph into Components of Bounded Size
In-Context Learning Functions with Varying Number of Minima
Uniform Vs. Non-Uniform Coarse Quantization in Mutual Information Maximizing LDPC Decoding
Restricted Boltzmann Machines: Introduction and Review
A Co-design Study for Multi-Stakeholder Job Recommender System Explanations
Caption-Driven Explainability: Probing CNNs for Bias via CLIP
Exploiting Deep Neural Networks and Head Movements for Robust Binaural Localisation of Multiple Sources in Reverberant Environments
Age Optimal Sampling and Routing under Intermittent Links and Energy Constraints
Full explicit consistency constraints in uncalibrated multiple homography estimation
Balancing Generalization and Specialization: Offline Metalearning for Bandwidth Estimation
Bent functions and strongly regular graphs
MJ-VIDEO: Fine-Grained Benchmarking and Rewarding Video Preferences in Video Generation
CycleGuardian: A Framework for Automatic RespiratorySound classification Based on Improved Deep clustering and Contrastive Learning
Generative Adversarial Networks for High-Dimensional Item Factor Analysis: A Deep Adversarial Learning Algorithm
NNTrainer: Light-Weight On-Device Training Framework
Integer and Constraint Programming Revisited for Mutually Orthogonal Latin Squares
A new dynamical model for solving rotation averaging problem
Automating the Diagram Method to Prove Correctness of Program Transformations
Cut Elimination for a Logic with Induction and Co-induction
Alternating Implicit Projected SGD and Its Efficient Variants for Equality-constrained Bilevel Optimization
A hybrid finite element/neural network solver and its application to the Poisson problem
Leveraging Large Language Model for Information Retrieval-based Bug Localization
Mathematical proof concerning the additivity problem of nonlinear normalized citation counts
An Exploration of Multicalibration Uniform Convergence Bounds
Optimized Signal Distortion for PAPR Reduction of OFDM Signals with IFFT/FFT Complexity via ADMM Approaches
A Class of Nonbinary Symmetric Information Bottleneck Problems
Towards Character-Level Transformer NMT by Finetuning Subword Systems
Reverse-engineer the Distributional Structure of Infant Egocentric Views for Training Generalizable Image Classifiers
It's easy to fool yourself: Case studies on identifying bias and confounding in bio-medical datasets
Connecting the Dots in Nutritional Rehabilitation: A Qualitative Study on ICT and Community Based Care
Connectivity-constrained Interactive Panoptic Segmentation
Computational Methods for Probabilistic Inference of Sector Congestion in Air Traffic Management
Electrical Flows over Spanning Trees
Harvest and Jam: Optimal Self-Sustainable Jamming Attacks against Remote State Estimation
Globally Stable Discrete Time PID Passivity-based Control of Power Converters: Simulation and Experimental Results
An Evaluation of LLMs Inference on Popular Single-board Computers
Randomization beats Second Price as a Prior-Independent Auction
Census Data Mining and Data Analysis using WEKA
Choosing an Appropriate Platform and Workflow for Processing Camera Trap Data using Artificial Intelligence
Geometric representation of the weighted harmonic mean of n positive values and potential uses
CG-Net: Conditional GIS-aware Network for Individual Building Segmentation in VHR SAR Images
Nviz - A General Purpse Visualization tool for Wireless Sensor Networks
On the Effectiveness of Instruction-Tuning Local LLMs for Identifying Software Vulnerabilities
Educational Content Management - A Cellular Approach
A cognitively driven weighted-entropy model for embedding semantic categories in hyperbolic geometry
Context-Oriented Web Video Tag Recommendation
JigsawNet: Shredded Image Reassembly using Convolutional Neural Network and Loop-based Composition
Can neural networks learn persistent homology features?
Efficient Open Domain Multi-Hop Question Answering with Few-Shot Data Synthesis
Advantages and limitations in the use of transfer learning for individual treatment effects in causal machine learning
Do electromagnetic waves exist in a short cable at low frequencies? What does physics say?
A Bayesian Nonparametric Estimation of Mutual Information
On List-decodability of Random Rank Metric Codes
SpeechGuard: Exploring the Adversarial Robustness of Multimodal Large Language Models
Gradient flow encoding with distance optimization adaptive step size
Multi-agent Path Finding with Continuous Time Viewed Through Satisfiability Modulo Theories (SMT)
Parameterized Metatheory for Continuous Markovian Logic
A Bibliographic View on Constrained Clustering
CIDOR: Content Distribution and Retrieval in Disaster Networks for Public Protection
Understanding the Safety Requirements for Learning-based Power Systems Operations
CASCLIK: CasADi-Based Closed-Loop Inverse Kinematics
A Framework of SO(3)-equivariant Non-linear Representation Learning and its Application to Electronic-Structure Hamiltonian Prediction
Towards Secure and Reliable Heterogeneous Real-time Telemetry Communication in Autonomous UAV Swarms
Deep Learning Based Android Malware Detection Framework
Talking Wikidata: Communication patterns and their impact on community engagement in collaborative knowledge graphs
A Surprisingly Simple Method for Distributed Euclidean-Minimum Spanning Tree / Single Linkage Dendrogram Construction from High Dimensional Embeddings via Distance Decomposition
Self-Supervised and Few-Shot Learning for Robust Bioaerosol Monitoring
PicoAudio: Enabling Precise Timestamp and Frequency Controllability of Audio Events in Text-to-audio Generation
Pre-treatment of outliers and anomalies in plant data: Methodology and case study of a Vacuum Distillation Unit
The 1.375 Approximation Algorithm for Sorting by Transpositions Can Run in $O(n\log n)$ Time
Weak locking capacity of quantum channels can be much larger than private capacity
Robin3D: Improving 3D Large Language Model via Robust Instruction Tuning
NEAT and HyperNEAT based Design for Soft Actuator Controllers
Trust Estimation and Aggregation in Peer-to-Peer Network Using Differential Gossip Algorithm
Evaluating Causal Models by Comparing Interventional Distributions
Scaling Frustration Index and Corresponding Balanced State Discovery for Real Signed Graphs
Machine Learning-based vs Deep Learning-based Anomaly Detection in Multivariate Time Series for Spacecraft Attitude Sensors
A Moral- and Event- Centric Inspection of Gender Bias in Fairy Tales at A Large Scale
Null Models and Modularity Based Community Detection in Multi-Layer Networks
CheerBots: Chatbots toward Empathy and Emotionusing Reinforcement Learning
On conceptualisation and an overview of learning path recommender systems in e-learning
DiPSeN: Differentially Private Self-normalizing Neural Networks For Adversarial Robustness in Federated Learning
Local AdaAlter: Communication-Efficient Stochastic Gradient Descent with Adaptive Learning Rates
Enhancing Adversarial Training with Feature Separability
On the geometric structure ofsome statistical manifolds
Intrusion Detection for Industrial Control Systems: Evaluation Analysis and Adversarial Attacks
Accelerating innovation with software abstractions for scalable computational geophysics
On the Convergence of Semi-Relaxed Sinkhorn with Marginal Constraint and OT Distance Gaps
Humans-in-the-Building: Getting Rid of Thermostats for Optimal Thermal Comfort Control in Energy Management Systems
Physics-Informed Neural Networks for Enhanced Interface Preservation in Lattice Boltzmann Multiphase Simulations
On describing trees and quasi-trees from their leaves
Temporal Knowledge Graph Completion using Box Embeddings
Lattices and Their Consistent Quantification
EGGS-PTP: An Expander-Graph Guided Structured Post-training Pruning Method for Large Language Models
Non-central panorama indoor dataset
Transfer Learning and SpecAugment applied to SSVEP Based BCI Classification
A New Perspective To Understanding Multi-resolution Hash Encoding For Neural Fields
Decoupling Task-Solving and Output Formatting in LLM Generation
Relating lp regularization and reweighted l1 regularization
Development and Modelling of High-Efficiency Computing Structure for Digital Signal Processing
Learning to Generate Structured Queries from Natural Language with Indirect Supervision
Segmentation-free Estimation of Aortic Diameters from MRI Using Deep Learning
The LLLR generalised Langton's ant
Software Autotuning for Sustainable Performance Portability
The Drama Machine: Simulating Character Development with LLM Agents
Representation Integrity in Temporal Graph Learning Methods
Towards Optimizing OCR for Accessibility
Cybersecurity Competence for Organisations in Inner Scandinavia
Beyond Nearest Neighbor Interpolation in Data Augmentation
Interpretability analysis on a pathology foundation model reveals biologically relevant embeddings across modalities
Graph-based Multi-view Binary Learning for Image Clustering
Improved encoding and decoding for non-adaptive threshold group testing
Distributed Model Predictive Control for Periodic Cooperation of Multi-Agent Systems
Integration of LSTM Networks in Random Forest Algorithms for Stock Market Trading Predictions
Hand-breathe: Non-Contact Monitoring of Breathing Abnormalities from Hand Palm
The Contextual Appointment Scheduling Problem
Geoopt: Riemannian Optimization in PyTorch
Binaspect - A Python Library for Binaural Audio Analysis, Visualization & Feature Generation
Representation of professions in entertainment media: Insights into frequency and sentiment trends through computational text analysis
FactorBase: SQL for Learning A Multi-Relational Graphical Model
Dynamic Mechanism Design with Interdependent Valuations
Concentration of Measure for Distributions Generated via Diffusion Models