[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