yusuke1997/dblp-id-title huggingface dataset:
Comparison of Probabilistic Deep Learning Methods for Autism Detection
Reconstructing a website's lost past: Methodological issues concerning the history of www.unibo.it
On the extraction of instantaneous frequencies from ridges in time-frequency representations of signals
Addressing Data Imbalance in Transformer-Based Multi-Label Emotion Detection with Weighted Loss
Domain Adaptation of NMT models for English-Hindi Machine Translation Task at AdapMT ICON 2020
Robust and Sparse Estimation of Unbounded Density Ratio under Heavy Contamination
Binary Sine Cosine Algorithms for Feature Selection from Medical Data
DeepFeat: A Bottom Up and Top Down Saliency Model Based on Deep Features of Convolutional Neural Nets
Linking Social Media Posts to News with Siamese Transformers
Sequential Community Mode Estimation
Turing machines can be efficiently simulated by the General Purpose Analog Computer
A model-free method for discovering symmetry in differential equations
ReelWave: A Multi-Agent Framework Toward Professional Movie Sound Generation
Individual Fairness in Feature-Based Pricing for Monopoly Markets
Phase field modelling of fracture and fatigue in Shape Memory Alloys
RoboPearls: Editable Video Simulation for Robot Manipulation
On Large-scale Evaluation of Embedding Models for Knowledge Graph Completion
Open source software for automatic subregional assessment of knee cartilage degradation using quantitative T2 relaxometry and deep learning
End-to-End Interactive Prediction and Planning with Optical Flow Distillation for Autonomous Driving
Signal Processing for High Throughput Satellite Systems: Challenges in New Interference-Limited Scenarios
Vanishing of Schubert coefficients is in AM ∩ coAM assuming the GRH
Fuzzy Logic Based Method for Improving Text Summarization
Satisfiability of Ordering CSPs Above Average
Multilayer occupancy grid for obstacle avoidance in an autonomous ground vehicle using RGB-D camera
SlideMamba: Entropy-Based Adaptive Fusion of GNN and Mamba for Enhanced Representation Learning in Digital Pathology
Pathological Analysis of Blood Cells Using Deep Learning Techniques
Optimal and Robust Category-level Perception: Object Pose and Shape Estimation from 2D and 3D Semantic Keypoints
Robust Sensor Design Against Multiple Attackers with Misaligned Control Objectives
OMP2MPI: Automatic MPI code generation from OpenMP programs
Abrupt Motion Tracking via Nearest Neighbor Field Driven Stochastic Sampling
EFX Allocations Exist on Triangle-Free Multi-Graphs
Real-Time Document Image Classification using Deep CNN and Extreme Learning Machines
Likelihood-informed Model Reduction for Bayesian Inference of Static Structural Loads
Design of periodic scheduling and control for networked systems under random data loss
Prioritized Training on Points that are Learnable, Worth Learning, and Not Yet Learnt
Circuit-tuning: A Mechanistic Approach for Identifying Parameter Redundancy and Fine-tuning Neural Networks
High-order accurate multi-sub-step implicit integration algorithms with dissipation control for second-order hyperbolic problems
A fast offline/online forward solver for stationary transport equation with multiple inflow boundary conditions and varying coefficients
Intelligent Multi-link EDCA Optimization for Delay-Bounded QoS in Wi-Fi 7
On Designing Features for Condition Monitoring of Rotating Machines
Secure Watermark for Deep Neural Networks with Multi-task Learning
AgileRate: Bringing Adaptivity and Robustness to DeFi Lending Markets
Terabyte-scale supervised 3D training and benchmarking dataset of the mouse kidney
Robust Beamforming in Interference Channels with Imperfect Transmitter Channel Information
Predicting the Behavior of the Supreme Court of the United States: A General Approach
Computational Fluid Dynamics on 3D Point Set Surfaces
A Goal-Driven Approach to Systems Neuroscience
Cheap Ways of Extracting Clinical Markers from Texts
Pediatric TSC-Related Epilepsy Classification from Clinical MR Images Using Quantum Neural Network
ChakmaNMT: A Low-resource Machine Translation On Chakma Language
Development and Validation of SXI++ LNM Algorithm for Sepsis Prediction
Latent Time-Adaptive Drift-Diffusion Model
Characterising radio telescope software with the Workload Characterisation Framework
A formally verified proof of the Central Limit Theorem
Evaluation of Confidence-based Ensembling in Deep Learning Image Classification
Why Do Experts Favor Solar and Wind as Renewable Energies Despite their Intermittency?
Generating Probability Distributions using Multivalued Stochastic Relay Circuits
TrackTeller: Temporal Multimodal 3D Grounding for Behavior-Dependent Object References
A new way of video compression via forward-referencing using deep learning
Targeted Manipulation: Slope-Based Attacks on Financial Time-Series Data
A Model-based Approach to Assess Regular, Constant, and Progressive User Interface Adaptivity
Time-Data Tradeoffs in Structured Signals Recovery via Proximal-Gradient Homotopy Method
On Media-based Modulation using RF Mirrors
Data Accuracy Estimation for Cluster with Spatially Correlated Data in Wireless Sensor Networks
Modeling Curiosity in a Mobile Robot for Long-Term Autonomous Exploration and Monitoring
PM-DETR: Domain Adaptive Prompt Memory for Object Detection with Transformers
YOLOO: You Only Learn from Others Once
Deceptive Alignment Monitoring
Planning in the Dark: LLM-Symbolic Planning Pipeline without Experts
Surrogate Modeling for Explainable Predictive Time Series Corrections
Affective Computing Has Changed: The Foundation Model Disruption
Conformal Monte Carlo Meta-learners for Predictive Inference of Individual Treatment Effects
Accurate Real-Time Estimation of 2-Dimensional Direction of Arrival using a 3-Microphone Array
CoT: Cooperative Training for Generative Modeling
Attention-based Joint Detection of Object and Semantic Part
Brain Predictability toolbox: a Python library for neuroimaging based machine learning
Decentralized Unlabeled Multi-agent Pathfinding Via Target And Priority Swapping (With Supplementary)
Efficient Continual Adaptation for Generative Adversarial Networks
Designing Incident Reporting Systems for Harms from General-Purpose AI
Classifying Dry Eye Disease Patients from Healthy Controls Using Machine Learning and Metabolomics Data
Regain Control of Growing Dependencies in OMNeT++ Simulations
Mechanism-Guided Residual Lifting and Control Consistent Modeling for Pneumatic Drying Processes
Identification of Hemorrhage and Infarct Lesions on Brain CT Images using Deep Learning
Traceback of Data Poisoning Attacks in Neural Networks
Similarity-based Browsing over Linked Open Data
Modeling and Analyzing Urban Networks and Amenities with OSMnx
Some Nearly Quantum Theories
FAIRE: Assessing Racial and Gender Bias in AI-Driven Resume Evaluations
Prediction of Hereditary Cancers Using Neural Networks
Pure Exploration of Causal Bandits
New developments in revealed preference theory: decisions under risk, uncertainty, and intertemporal choice
Integrity Constraints in Trust Management
Towards Fully Bilingual Deep Language Modeling
SurrogatePrompt: Bypassing the Safety Filter of Text-To-Image Models via Substitution
Planarity is (almost) locally checkable in constant-time
tSPM+; a high-performance algorithm for mining transitive sequential patterns from clinical data
View Adaptive Neural Networks for High Performance Skeleton-based Human Action Recognition
GUI-Shepherd: Reliable Process Reward and Verification for Long-Sequence GUI Tasks
Beyond Convex Optimization: Star-Convex Functions
Reconfiguring health services to reduce the workload of caregivers during the COVID-19 outbreak using an open-source scalable platform for remote digital monitoring and coordination of care in hospital Command Centres
HIL: Hybrid Imitation Learning of Diverse Parkour Skills from Videos
BN-invariant sharpness regularizes the training model to better generalization
Safe and Dynamically-Feasible Motion Planning using Control Lyapunov and Barrier Functions
On the star-height of factor counting languages and their relationship to Rees zero-matrix semigroups
How BPE Affects Memorization in Transformers
Optimal Sampling-based Motion Planning in Gaussian Belief Space for Minimum Sensing Navigation
A Formal Model of Distributed Systems For Test Generation Missions
Monocentric or polycentric city? An empirical perspective
Single-Image Superresolution Through Directional Representations
Effective Enabling of Sharing and Reuse of Knowledge On Semantic Web by Ontology in Date Fruit Model
Parabolic Relaxation for Quadratically-constrained Quadratic Programming - Part II: Theoretical & Computational Results
Machine Learning for CSI Recreation Based on Prior Knowledge
Safe Screening for Logistic Regression with 𝓁 0 -𝓁 2 Regularization
Blockchain-Enabled Federated Learning: A Reference Architecture Incorporating a DID Access System
Research on Credit Risk Early Warning Model of Commercial Banks Based on Neural Network Algorithm
Active Learning to Classify Macromolecular Structures in situ for Less Supervision in Cryo-Electron Tomography
A tensor phase theory with applications in multilinear control
Open Challenges for a Production-ready Cloud Environment on top of RISC-V hardware
NNStreamer: Stream Processing Paradigm for Neural Networks, Toward Efficient Development and Execution of On-Device AI Applications
Solving Roughly Forced Nonlinear PDEs via Misspecified Kernel Methods and Neural Networks
Scaling Up Reachability Analysis for Rectangular Automata with Random Clocks
Discretely Beyond 1/e: Guided Combinatorial Algorithms for Submodular Maximization
Stepping Back to SMILES Transformers for Fast Molecular Representation Inference
Optimal Placement of Electric Vehicle Charging Stations in Populated Regions of Tehran for Various Demands Distribution
A Robust Ranging Scheme for OFDMA-Based Networks
On the mixed $f$-divergence for multiple pairs of measures
Demand forecasting techniques for build-to-order lean manufacturing supply chains
Interviewing the Most Successful Bot on GitHub: Dr Travis CI on 35+ Million of its Jobs
The effects of change-decomposition on code review - A Controlled Experiment
The distribution of calibrated likelihood functions on the probability-likelihood Aitchison simplex
TESSERA: Temporal Embeddings of Surface Spectra for Earth Representation and Analysis
The Hegselmann-Krause dynamics on the circle converge
Numerical simulation of hydraulic fracturing: a hybrid FEM based algorithm
Efficient Multi-Year Security Constrained AC Transmission Network Expansion Planning
Adaptive Intelligent Secondary Control of Microgrids Using a Biologically-Inspired Reinforcement Learning
The GAN Landscape: Losses, Architectures, Regularization, and Normalization
Location Forensics Analysis Using ENF Sequences Extracted from Power and Audio Recordings
Improve learning combining crowdsourced labels by weighting Areas Under the Margin
Diversifying Reply Suggestions using a Matching-Conditional Variational Autoencoder
Symmetry and Variance: Generative Parametric Modelling of Historical Brick Wall Patterns
Real-Time Video Super-Resolution on Smartphones with Deep Learning, Mobile AI 2021 Challenge: Report
Monadic type-and-effect soundness
Construction of Convex Sets on Quadrilateral Ordered Tiles or Graphs with Propagation Neighborhood Operations. Dales, Concavity Structures. Application to Gray Image Analysis of Human-Readable Shapes
SaudiCulture: A Benchmark for Evaluating Large Language Models Cultural Competence within Saudi Arabia
White Aggregation and Restoration for Few-shot 3D Point Cloud Semantic Segmentation
Active Distance-Based Clustering using K-medoids
Membership Inference Attacks Against Object Detection Models
Asymptotic Risk of Overparameterized Likelihood Models: Double Descent Theory for Deep Neural Networks
CAT: A Conditional Adaptation Tailor for Efficient and Effective Instance-Specific Pansharpening on Real-World Data
Temporal Shift Module for Efficient Video Understanding
Session Types for the Transport Layer: Towards an Implementation of TCP
Practical Exploration of Polyhedral Model Checking
Efficient Single-Pass Training for Multi-Turn Reasoning
Semi-Supervised Learning from Small Annotated Data and Large Unlabeled Data for Fine-grained PICO Entity Recognition
Regular cylindrical algebraic decomposition
Recovery Sets of Subspaces from a Simplex Code
Unity by Diversity: Improved Representation Learning in Multimodal VAEs
Study of Set-Membership Kernel Adaptive Algorithms and Applications
SpeechDPR: End-to-End Spoken Passage Retrieval for Open-Domain Spoken Question Answering
A Framework for Studying AI Agent Behavior: Evidence from Consumer Choice Experiments
Semantic Instance Segmentation with a Discriminative Loss Function
A RobustICA Based Algorithm for Blind Separation of Convolutive Mixtures
Vision-based Analysis of Driver Activity and Driving Performance Under the Influence of Alcohol
LLM-Enhanced Multimodal Fusion for Cross-Domain Sequential Recommendation
Autoregressive Adaptive Hypergraph Transformer for Skeleton-based Activity Recognition
On the geometric properties of the semi-Lagrangian discontinuous Galerkin scheme for the Vlasov-Poisson equation
Learning Quadruped Locomotion Policies with Reward Machines
Improving the Interpretability of Neural Sentiment Classifiers via Data Augmentation
Morphonette: a morphological network of French
Typing Fallback Functions: A Semantic Approach to Type Safe Smart Contracts
Single Image Dehazing Based on Generic Regularity
Superhypergraph Neural Networks and Plithogenic Graph Neural Networks: Theoretical Foundations
Direct Computing on Control Capability for Linear Continuous-time Systems Based on Hurwitz Matrix
Analysis of Downlink and Uplink Decoupling in Dense Cellular Networks
Shift, Scale and Rotation Invariant Multiple Object Detection using Balanced Joint Transform Correlator
Malware Detection using Attribute-Automata to parse Abstract Behavioral Descriptions
Explainable AI (XAI): A Systematic Meta-Survey of Current Challenges and Future Opportunities
Cloud Rendering-based Volumetric Video Streaming System for Mixed Reality Services
Limitations of the Empirical Fisher Approximation
ContCommRTD: A Distributed Content-based Misinformation-aware Community Detection System for Real-Time Disaster Reporting
Explainable Software Bot Contributions: Case Study of Automated Bug Fixes
Token-Efficient Leverage Learning in Large Language Models
A stochastic interpretation of set-membership filtering: application to polynomial systems through polytopic bounding
Suvach - Generated Hindi QA benchmark
Policy Gradient Algorithms with Monte-Carlo Tree Search for Non-Markov Decision Processes
RAPS-3D: Efficient interactive segmentation for 3D radiological imaging
A model of reward-modulated motor learning with parallelcortical and basal ganglia pathways
Mix and Match: Learning-free Controllable Text Generation using Energy Language Models
Efficient Approximate Distance Oracles for Vertex-Labeled Planar Graphs
Uncertainty Quantification of Phase Transition Problems with an Injection Boundary
Jointly Optimizing Terahertz based Sensing and Communications in Vehicular Networks: A Dynamic Graph Neural Network Approach
Decentralized Flood Forecasting Using Deep Neural Networks
Complex Frequency
Hate Lingo: A Target-based Linguistic Analysis of Hate Speech in Social Media
Shellular Metamaterial Design via Compact Electric Potential Parametrization
Structured Acyclic Nets
Domain-Augmented Domain Adaptation
SDF-3DGAN: A 3D Object Generative Method Based on Implicit Signed Distance Function
A comment on stabilizing reinforcement learning
Iterative hypothesis testing for multi-object tracking in presence of features with variable reliability
Bridging Chaos Game Representations and k -mer Frequencies of DNA Sequences
Small Even Covers, Locally Decodable Codes and Restricted Subgraphs of Edge-Colored Kikuchi Graphs
Mentoring Software in Education and Its Impact on Teacher Development: An Integrative Literature Review
A maximin based, linear programming approach to worst-case scenario control
Rule-Mining based classification: a benchmark study
Fine-grained Iterative Attention Network for TemporalLanguage Localization in Videos
A simple impact index for scientific innovation and recognition
An Exploration of How Training Set Composition Bias in Machine Learning Affects Identifying Rare Objects
Improving Few-Shot Performance of Language Models via Nearest Neighbor Calibration
CAVE: Classifying Abnormalities in Video Capsule Endoscopy
Effective drug combination for Caenorhabditis elegans nematodes discovered by output-driven feedback system control technique
Adaptive phase field modelling of crack propagation in orthotropic functionally graded materials
Stability and instability in saddle point dynamics Part II: The subgradient method
A fourth-order exponential time differencing scheme with real and distinct poles rational approximation for solving non-linear reaction-diffusion systems
Instance-based Transfer Learning for Multilingual Deep Retrieval
Evolving Delta-oriented Software Product Line Architectures
Logical Reasoning over Natural Language as Knowledge Representation: A Survey
Human languages order information efficiently
Automated detection of block falls in the north polar region of Mars
Dynamic Trajectory Model for Analysis of Traffic States using DPMM
Mitigating Gyral Bias in Cortical Tractography via Asymmetric Fiber Orientation Distributions
Improving the Performance of TCP over the ATM-UBR service
Overview of AI Grading of Physics Olympiad Exams
A novel normalized sign algorithm for system identification under impulsive noise interference
Subcarrier Domain of Multicarrier Continuous-Variable Quantum Key Distribution
Guiding Text-to-Image Diffusion Model Towards Grounded Generation
The Energy Prediction Smart-Meter Dataset: Analysis of Previous Competitions and Beyond
Output-Feedback Symbolic Control
Interest-Based vs. Social Person-Recommenders in Social Networking Platforms
CLAIMCHECK: How Grounded are LLM Critiques of Scientific Papers?
Analysis of Financial News with NewsStream, Technical Report IJS-DP-11965
Large-System Analysis of Joint User Selection and Vector Precoding for Multiuser MIMO Downlink
On Investigation of Unsupervised Speech Factorization Based on Normalization Flow
Variants in managing supply chains on distributed ledgers
Layer as Puzzle Pieces: Compressing Large Language Models through Layer Concatenation
A Discrete-Time, Time-Delayed Lur'e Model with Biased Self-Excited Oscillations
Inference and Learning of Nonlinear LFR State-space Models
TVAE: Triplet-Based Variational Autoencoder using Metric Learning
TrafficSafetyGPT: Tuning a Pre-trained Large Language Model to a Domain-Specific Expert in Transportation Safety
A Review of Topological Data Analysis for Cybersecurity
A Necessary and Sufficient Condition for Local Maxima of Polynomial Modulus Over Unit Disc
Enabling Virtual Memory Research on RISC-V with a Configurable TLB Hierarchy for the Rocket Chip Generator
Rational Impatience Strategy of 5G Network Tenants in Queue-Based Slice Admission Control: Shall I Wait Further for My Network Slice?
Sampling for Data Freshness Optimization: Non-linear Age Functions
Homological Error Correcting Codes and Systolic Geometry
Assessing putative bias in prediction of anti-microbial resistance from real-world genotyping data under explicit causal assumptions
Context-measure: Contextualizing Metric for Camouflage
A Survey on Data Plane Programming with P4: Fundamentals, Advances, and Applied Research
Multimodal Spiking Neural Network for Space Robotic Manipulation
Extracting Noun Phrases from Large-Scale Texts: A Hybrid Approach and Its Automatic Evaluation
SPRINT: Stochastic Performative Prediction With Variance Reduction
Numerical Analysis of a Bio-Polymerization Model
Exploring Grid Polygons Online
Semantically-Secure Coding Scheme Achieving the Capacity of a Gaussian Wiretap Channel
Information Elevation Network for Fast Online Action Detection
Fourier Neural Differential Equations for learning Quantum Field Theories
Towards Creating Infrastructures for Values and Ethics Work in the Production of Software Technologies
FinDVer: Explainable Claim Verification over Long and Hybrid-Content Financial Documents
Multi-target DoA Estimation with an Audio-visual Fusion Mechanism
World Trade Center responders in their own words: Predicting PTSD symptom trajectories with AI-based language analyses of interviews
Learning to Correct Overexposed and Underexposed Photos
Potential-Function Proofs for First-Order Methods
SIMAC: A Semantic-Driven Integrated Multimodal Sensing And Communication Framework
Comprehensive Verification of Packet Processing
Evolving Methods for Evaluating and Disseminating Computing Research
FLAD: Federated Learning for LLM-based Autonomous Driving in Vehicle-Edge-Cloud Networks
Amplifying Effective CXL Memory Bandwidth for LLM Inference via Transparent Near-Data Processing
Laplacian Score Sharpening for Mitigating Hallucination in Diffusion Models
Predicting Diabetic Macular Edema Treatment Responses Using OCT: Dataset and Methods of APTOS Competition
Radial Basis Function Approximations: Comparison and Applications
Role of ERP Modernization in Digital Transformation: PeopleSoft Insight
A Database of Quantum Codes
Evaluating Large Language Models for Generalization and Robustness via Data Compression
Reinforcement Learning for Robust Athletic Intelligence: Lessons from the 2nd 'AI Olympics with RealAIGym' Competition
Augmenting the User-Item Graph with Textual Similarity Models
Multi-dimensional sparse structured signal approximation using split Bregman iterations
An E2E Simulator for 5G NR Networks
Keeping it simple: Implementation and performance of the proto-principle of adaptation and learning in the language sciences
Formal Methods and Event Notification Systems in Mobile Computing Environment
Anomalous Decision Discovery using Inverse Reinforcement Learning
A Formal Framework for Fluency-based Multi-Reference Evaluation in Grammatical Error Correction
Two extensions of Ramsey's theorem
Semi-Automatic Line-System Provisioning with Integrated Physical-Parameter-Aware Methodology: Field Verification and Operational Feasibility
Data-driven Distributed Control to Scale EV Integration into Power Grid
Hadamard Product Decomposition and Mutually Exclusive Matrices on Network Structure and Utilization
Towards generalizable single-cell perturbation modeling via the Conditional Monge Gap
Predictive stability filters for nonlinear dynamical systems affected by disturbances
MO-VLN: A Multi-Task Benchmark for Open-set Zero-Shot Vision-and-Language Navigation
Online fair division with arbitrary entitlements
Increasing the failure recovery probability of atomic replacement approaches
Identifying organizations receiving personal data in Android Apps
Replicating and Scaling up Qualitative Analysis using Crowdsourcing: A Github-based Case Study
Infinite-dimensional Folded-in-time Deep Neural Networks
A geometry-inspired decision-based attack
Multiobjective Coverage Path Planning: Enabling Automated Inspection of Complex, Real-World Structures
RAG-Anything: All-in-One RAG Framework
FHCP Challenge Set: The First Set of Structurally Difficult Instances of the Hamiltonian Cycle Problem
On rich lenses in planar arrangements of circles and related problems
GRAM: Generalization in Deep RL with a Robust Adaptation Module
AnyLogo: Symbiotic Subject-Driven Diffusion System with Gemini Status
MOSAIC: Learning Unified Multi-Sensory Object Property Representations for Robot Perception
A momentum preserving frictional contact algorithm based on affine particle-in-cell grid transfers
Multi-Armed Bandits for Decentralized AP selection in Enterprise WLANs
Concurrent consideration of cortical and cancellous bone within continuum bone remodelling
Preventing Posterior Collapse with Levenshtein Variational Autoencoder
Exploring Neural Network Pruning with Screening Methods
Graph Neural Network based Handwritten Trajectories Recognition
How a Bit Becomes a Story: Semantic Steering via Differentiable Fault Injection
Jukebox: A Generative Model for Music
Greybox XAI: a Neural-Symbolic learning framework to produce interpretable predictions for image classification
A quantum-inspired algorithm for approximating statistical leverage scores