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Bibliographies

131

1 Mathematical Modeling of BCG-based Bladder Cancer Treatment Using Socio-Demographics

2 Multimodal Integration of Longitudinal Noninvasive Diagnostics for Survival Prediction in Immunotherapy Using Deep Learning

3 From Correlation to Causation: Understanding Climate Change through Causal Analysis and LLM Interpretations

4 ClimDetect: A Benchmark Dataset for Climate Change Detection and Attribution

5 Climate Adaptation with Reinforcement Learning: Experiments with Flooding and Transportation in Copenhagen

6 Modeling Climate Change Impact on Wind Power Resources Using Adaptive Neuro-Fuzzy Inference System

7 Tackling extreme urban heat: a machine learning approach to assess the impacts of climate change and the efficacy of climate adaptation strategies in urban microclimates

8 Analyzing Regional Impacts of Climate Change using Natural Language Processing Techniques

9 Expanding Chemical Representation with k-mers and Fragment-based Fingerprints for Molecular Fingerprinting

10 The Classification of Cropping Patterns Based on Regional Climate Classification Using Decision Tree Approach

11 Understanding the impacts of crop diversification in the context of climate change: a machine learning approach

12 Cotton Yield Prediction Using Random Forest

13 Towards Global Crop Maps with Transfer Learning

14 Multi-Year Vector Dynamic Time Warping Based Crop Mapping

15 An Open and Large-Scale Dataset for Multi-Modal Climate Change-aware Crop Yield Predictions

16 Intelligent Agricultural Management Considering N$_2$O Emission and Climate Variability with Uncertainties

17 Anticipatory Understanding of Resilient Agriculture to Climate

18 Exploring Physics-Informed Neural Networks for Crop Yield Loss Forecasting

19 Learning-based agricultural management in partially observable environments subject to climate variability

20 Jointly Modeling Heterogeneous Student Behaviors and Interactions Among Multiple Prediction Tasks

21 Enhanced Detection of Transdermal Alcohol Levels Using Hyperdimensional Computing on Embedded Devices

22 Quantifying the relationship between student enrollment patterns and student performance

23 Piecewise Linear Multilayer Perceptrons and Dropout

24 Joint Training of Deep Boltzmann Machines

25 ReCAP: Recursive Cross Attention Network for Pseudo-Label Generation in Robotic Surgical Skill Assessment

26 SA-GNAS: Seed Architecture Expansion for Efficient Large-scale Graph Neural Architecture Search

27 Deep Learning-based Sentiment Analysis of Olympics Tweets

28 Self-evolving Autoencoder Embedded Q-Network

29 How Can Self-Attention Networks Recognize Dyck-n Languages?

30 Neighborhood Attention Transformer

31 Node Assigned physics-informed neural networks for thermal-hydraulic system simulation: CVH/FL module

32 Variable Weights Neural Network For Diabetes Classification

33 The Impact of Quantity of Training Data on Recognition of Eating Gestures

34 Exploring deep learning methods for recognizing rare diseases and their clinical manifestations from texts

35 Uncertainty-driven and Adversarial Calibration Learning for Epicardial Adipose Tissue Segmentation

36 Driver Drowsiness Detection System: An Approach By Machine Learning Application

37 Tiled sparse coding in eigenspaces for the COVID-19 diagnosis in chest X-ray images

38 An Open-Source Dataset on Dietary Behaviors and DASH Eating Plan Optimization Constraints

39 Integrating Human Knowledge Through Action Masking in Reinforcement Learning for Operations Research

40 Unveiling The Factors of Aesthetic Preferences with Explainable AI

41 Data Science Education in Undergraduate Physics: Lessons Learned from a Community of Practice

42 Who will dropout from university? Academic risk prediction based on interpretable machine learning

43 A Framework for Undergraduate Data Collection Strategies for Student Support Recommendation Systems in Higher Education

44 Teacher-Student Architecture for Knowledge Distillation: A Survey

45 A Systematic Comparison of Phonetic Aware Techniques for Speech Enhancement

46 Phone-aware Neural Language Identification

47 PANCETTA: Phoneme Aware Neural Completion to Elicit Tongue Twisters Automatically

48 BERTphone: Phonetically-Aware Encoder Representations for Utterance-Level Speaker and Language Recognition

49 Common Phone: A Multilingual Dataset for Robust Acoustic Modelling

50 UniSpeech: Unified Speech Representation Learning with Labeled and Unlabeled Data

51 Trend analysis and forecasting air pollution in Rwanda

52 Wait, That Feels Familiar: Learning to Extrapolate Human Preferences for Preference Aligned Path Planning

53 Modelling spatio-temporal trends of air pollution in Africa

54 Modelling and characterization of fine Particulate Matter dynamics in Bujumbura using low cost sensors

55 CALText: Contextual Attention Localization for Offline Handwritten Text

56 Parkinson's Disease Detection through Vocal Biomarkers and Advanced Machine Learning Algorithms

57 Group-Aware Graph Neural Network for Nationwide City Air Quality Forecasting

58 Worldwide city transport typology prediction with sentence-BERT based supervised learning via Wikipedia

59 Meta-learning enhanced next POI recommendation by leveraging check-ins from auxiliary cities

60 Decoupling Inherent Risk and Early Cancer Signs in Image-based Breast Cancer Risk Models

61 Gene Expression based Survival Prediction for Cancer Patients: A Topic Modeling Approach

62 Detecting and analysing spontaneous oral cancer speech in the wild

63 Deep learning methods for drug response prediction in cancer: predominant and emerging trends

64 Comparisons of Graph Neural Networks on Cancer Classification Leveraging a Joint of Phenotypic and Genetic Features

65 Early Detection and Classification of Breast Cancer Using Deep Learning Techniques

66 New pyramidal hybrid textural and deep features based automatic skin cancer classification model: Ensemble DarkNet and textural feature extractor

67 Leveraging a Joint of Phenotypic and Genetic Features on Cancer Patient Subgrouping

68 A Central Asian Food Dataset for Personalized Dietary Interventions, Extended Abstract

69 A Bayesian Approach for Predicting Food and Beverage Sales in Staff Canteens and Restaurants

70 Forecasting trends in food security with real time data

71 Multi-modal Embedding Fusion-based Recommender

72 Demand Forecasting using Long Short-Term Memory Neural Networks

73 MenuAI: Restaurant Food Recommendation System via a Transformer-based Deep Learning Model

74 Conditional Synthetic Food Image Generation

75 Domain Knowledge integrated for Blast Furnace Classifier Design

76 GASS: Generalizing Audio Source Separation with Large-scale Data

77 A novel method for error analysis in radiation thermometry with application to industrial furnaces

78 Learning Control from Raw Position Measurements

79 Should ChatGPT and Bard Share Revenue with Their Data Providers? A New Business Model for the AI Era

80 Engineering the Law-Machine Learning Translation Problem: Developing Legally Aligned Models

81 Building Legal Datasets

82 Law Informs Code: A Legal Informatics Approach to Aligning Artificial Intelligence with Humans

83 Pre-trained Language Models for the Legal Domain: A Case Study on Indian Law

84 Compatibility of Fairness Metrics with EU Non-Discrimination Laws: Demographic Parity & Conditional Demographic Disparity

85 Artificial intelligence, human rights, democracy, and the rule of law: a primer

86 nigam@COLIEE-22: Legal Case Retrieval and Entailment using Cascading of Lexical and Semantic-based models

87 Unsupervised Evaluation and Weighted Aggregation of Ranked Predictions

88 A deep learning framework to generate realistic population and mobility data

89 Entity Embeddings : Perspectives Towards an Omni-Modality Era for Large Language Models

90 COVID-19 Kaggle Literature Organization

91 COVID-19 Multidimensional Kaggle Literature Organization

92 Faces: AI Blitz XIII Solutions

93 Data-Driven Revenue Management for Air Cargo

94 Revenue Management without Demand Forecasting: A Data-Driven Approach for Bid Price Generation

95 Deep Joint Transmission-Recognition for Multi-View Cameras

96 Neural Hybrid Recommender: Recommendation needs collaboration

97 Deep Reinforcement Learning Policies Learn Shared Adversarial Features Across MDPs

98 Modeling Live Video Streaming: Real-Time Classification, QoE Inference, and Field Evaluation

99 Minimizing Live Experiments in Recommender Systems: User Simulation to Evaluate Preference Elicitation Policies

100 Data-Driven Malaria Prevalence Prediction in Large Densely-Populated Urban Holoendemic sub-Saharan West Africa: Harnessing Machine Learning Approaches and 22-years of Prospectively Collected Data

101 Adaptive Interventions for Global Health: A Case Study of Malaria