Abstract:

Please join us for the Joint Affinity poster session in Hall J (adjacent to the WiML workshop)

WiML Posters:

ExoMiner: A Highly Accurate and Explainable Deep Learning Classifier That Validates 301 New Exoplanets
When are Local Queries Useful for Robust Learning?
Natural language processing for automated information extraction of cancer parameters from free-text pathology reports
Discriminative Candidate Selection for Image Inpainting
Determination of Neural Network Parameters for Path Loss Prediction in Very High Frequency Wireless Channel
DEVELOPMENT OF PREDICTIVE MODEL FOR SURVIVAL OF PAEDIATRIC HIV/AIDS PATIENTS IN SOUTH WESTERN NIGERIA USING DATA MINING TECHNIQUES
Modelling non-reinforced preferences using selective attention
Data Analysis and Machine Learning for Speech Music Playlist Generation
Meta Optimal Transport
Single-modality and joint fusion deep learning for diabetic retinopathy diagnosis
Multi-Armed Bandit Problem with Temporally-Partitioned Rewards
The use of Region-based Convolutional Neural Network Model for Analysing Unmanned Aerial Vehicle Remote Sensing
Kernel Density Bayesian Inverse Reinforcement Learning
Multimodal Checklists for Fair Clinical Decision Support
Investigating Reproducibility from the Decision Boundary Perspective.
DEVELOPMENT OF A MODIFIED LIKELIHOOD RATIO MODEL FOR HANDWRITING IDENTIFICATION IN FORENSIC SCIENCE
Self-Supervised Graph Representation Learning for chip design-partitioning on multi-FPGA platforms
Hierarchically Clustered PCA and CCA via a Convex Clustering Penalty
deep Metric Learning to predict cardiac pressure with ECG
Spatial clustering with random partitions on ovarian cancer data
Object Segmentation of Cluttered Airborne LiDAR Point Clouds
Identifying Disparities in Sepsis Treatment using Inverse Reinforcement Learning
Multi Mix Mask – RCNN (M3RCNN) for Instance Intervertebral Disc Segmentation
The Lean Data Scientist: Recent Advances towards Overcoming the Data Bottleneck
Towards an automatic classification for software requirements written in Spanish
Exploiting Pretrained Biochemical Language Models for Targeted Drug Design
Curriculum learning for improved femur fracture classification: scheduling data with prior knowledge and uncertainty
Shortcuts in Public Medical Image Datasets
Adaptively Identifying Patient Populations With Treatment Benefit in Clinical Trials
Improving Robustness to Distribution Shift with Methods from Differential Privacy
Quantifying Gender Bias in Hindi Language Models
De novo PROTAC design using graph-based deep generative models
Self-Contained Entity Discovery from Captioned Videos
Reduce False Negative in Distant supervised learning using Dependency tree-LSTM to Construct a Knowledge Graph
Break the bottleneck of AI deployment at the edge.
Towards probabilistic end-to-end Deep Learning Weather Forecasting: Spatio-Temporal Temperature Forecasting using Normalizing Flows
Bias Assessment of Text-to-Image Models
Equivariant Framework for Spatial Networks
Protein Structure Ranking with Atom-level Geometric Representation Learning
Detecting Synthetic Opioids with NQR Spectroscopy and Complex-Valued Signal Denoising
Identifying fine climatic parameters for high maize yield using pattern mining: case study from Benin (West Africa)
GraphFramEx: Towards Systematic Evaluation of Explainability Methods for Graph Neural Networks
Using Visual Similarity to Navigate eCommerce Inventory
Mixture of Gaussian Processes with Probabilistic Circuits for Multi-Output Regression
Synthetic Data Augmentation for Time Series Forecasting
Task-conditioned modelling of drug-target interactions
Can deep learning models understand natural language descriptions of patient symptoms following cataract surgery?
Hyperbolic Image Segmentation
Maximum Class Separation as Inductive Bias in One Matrix
CLOOME: Contrastive Learning for Molecule Representation with Microscopy Images and Chemical Structures
Boosting Multi-modal Contrastive Learning with Modern Hopfield Networks and InfoLOOB
Global-based Deep Q-Network for Molecule Generation
A Semantically Conditioned Code-Mixed Natural Language Generation for Task-Oriented Dialog
Unified Autoencoder with Task Embeddings for Multi-Task Learning in Renewable Power Forecasting
Modern Hopfield Networks for Iterative Learning on Tabular Data
Delirium Prediction using Long Short-Term Memory (LSTM) in the Electronic Health Record
Evaluating and Improving Robustness of Self-Supervised Representations to Spurious Correlations
FACTORS INFLUENCING POSTGRADUATE STUDENTS' ACADEMIC PERFORMANCE: MACHINE LEARNING APPROACH.
A Simple Phoneme-based Error Simulator for ASR Error Correction
- Deep Learning methods for biotic and abiotic stresses detection in fruits and vegetables: state of the art and perspectives
Follow the Flow: An Affective Computing Interface for the On-Line Detection of Flow Mental State
Under-Counted Tensor Completion with Neural Network-based Side Information Learner
Detecting State Changes in Dynamic Neuronal Networks
Learning to Defer in Ranking Systems
Categorizing Online Harassment on Twitter using Graph Convolutional Networks
A Domain-Oblivious Approach for Learning Concise Representations of Filtered Topological Spaces for Clustering
A Recommendation System in Task-Oriented Doctor-Patient Interactions
Explaining Predictive Uncertainty by Looking Back at Model Explanations
DaME: Data Mapping Engine for Financial Services
Improved Text Classification via Test-Time Augmentation
Model Interpretation based Sample Selection in Large-Scale Conversational Assistants
Human-AI Interaction in Selective Prediction Systems
User-interactive, On-demand Cycle-GAN-Based Super Resolution and Focus Recovery on Whole Slide Images (WSI)
Self Supervised Learning in Microscopy
Machine Learning for the detection of diabetic retinopathy
Topic: Building Identification In Aerial Imagery using Deep learning
Dynamic Head Pruning in Transformers
Mobile-PDC: High-Accuracy Plant Disease Classification for Mobile Devices.
CAM-GAN: Continual Adaptation Modules for Generative Adversarial Networks
Modeling Sharing Time Of Fake And Real News
Interaction Classification with Key Actor Detection in Multi-Person Sport Videos
Estimating Fairness in the Absence of Ground-Truth Labels
Motor Imagery ECoG Signal Classification With Optimal Selection Of Minimum Electrodes
A Noether's theorem for gradient flow: Continuous symmetries of the architecture and conserved quantities of gradient flow
Generating High-Quality Emotion Arcs Using Emotion Lexicons
Exposure Fairness in Music Recommendation
DeepWear: Towards an Automated Textiles Materials Classification using a Taxonomy-based ML Approach
Revisiting Graph Neural Network Embeddings
Estimating the Treatment Effect of Antibiotics Exposure on the Risk of Developing Anti-Microbial Resistance
Can we explain Aha! moments in artificial agents?
Multimodal Deep Learning for Weapon Detection
The Role of Expert-driven Prompt Engineering for Fine-grained Zero-shot Classification in Fashion

Poster Session
in
Affinity Workshop: Women in Machine Learning

Affinity Joint Poster Session

Poster Session in Affinity Workshop: Women in Machine Learning

Affinity Joint Poster Session

Poster Session
in
Affinity Workshop: Women in Machine Learning