I'm a PhD student at Northeastern University's Khoury College of Computer Science working with Professor Predrag Radivojac. My research interests are in data bias in machine learning; structured prediction and evaluation; geometric deep learning; and representation and generation of structured data. I've worked on applications in computer vision, medical image processing, graphical models for characterizing environmental contamination, and projects on network behavior in computational biology and in economics. Currently, I am actively working on methods for biological sequence representation and detection and quantification of bias in datasets.
Information Accretion Explainer
Discussion post for CAFA 5 Kaggle Competition. 2023
https://www.kaggle.com/competitions/cafa-5-protein-function-prediction/discussion/405237
CAFA-evaluator: A Python Tool for Benchmarking Ontological Classification Methods
Damiano Piovesan, Davide Zago, Parnal Joshi, M. Clara De Paolis Kaluza, Alexander Miguel Monzon, Walter Reade, Iddo Friedberg, Predrag Radivojac, Silvio CE Tosatto.
Bioinformatics Advances 2024.
[paper]
[github]
An approach to identifying and quantifying bias in biomedical data
M. Clara De Paolis Kaluza, Shantanu Jain, Predrag Radivojac.
Pacific Symposium on Biocomputing 2023.
[paper]
[github]
Deep Imitation Learning for Bimanual Robotic Manipulation
Fan Xie, Alex Chowdhury, M. Clara De Paolis Kaluza, Linfeng Zhao, Lawson Wong, Rose Yu.
Advances in Neural Information Processing Systems (NeurIPS), 2020.
[paper]
[github]
Subsurface Source Zone Characterization and Uncertainty Quantification Using Discriminative Random Fields
Masoud Arshadi, M. Clara De Paolis Kaluza, Eric L. Miller, Linda M. Abriola
Water Resources Research 56 (3), 2020
[paper]
A Neural Framework for Learning DAG to DAG Translation
M. Clara De Paolis Kaluza, Saeed Amizadeh, Rose Yu.
Neural Information Processing Systems, relational representation learning workshop, 2018.
[pdf]
[bibtex]
[poster]
Subset Selection for Sequential Data
Ehsan Elhamifar, M. Clara De Paolis Kaluza.
Advances in Neural Information Processing Systems, 2017.
[pdf]
[bibtex]
[poster]
Online Subset Selection via Submodular and Convex Optimization
Ehsan Elhamifar, M. Clara De Paolis Kaluza.
The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017.
[pdf]
[bibtex]
Incorporation of CT-based measurements of trunk anatomy into subject-specific musculoskeletal models of the spine influences vertebral loading predictions
Alexander G Bruno, Hossein Mokhtarzadeh, Brett T Allaire, Kelsey R Velie, M. Clara De Paolis Kaluza, Dennis E Anderson, Mary L Bouxsein.
Journal of Orthopaedic Research, 2017.
Evaluation of a new approach to compute intervertebral disc height measurements from lateral radiographic views of the spine
Brett T Allaire, M. Clara De Paolis Kaluza, Alexander G Bruno, Elizabeth J Samelson, Douglas P Kiel, Dennis E Anderson, Mary L Bouxsein.
European Spine Journal, 2016.
Markov Random Field Models for Quantifying Uncertainty in Subsurface Remediation
M. Clara De Paolis Kaluza, Eric L. Miller, Linda M. Abriola.
In IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2015.
Goal-Conditioned Dynamic Graph Model for Task and Motion Planning
M. Clara De Paolis Kaluza, Christopher Paxton, Animesh Garg, Anima Anandkumar, Rose Yu
Nvidia Research internship, Summer 2019
[poster presented at WiML 2019]
Security Scan for OpenStack
M. Clara De Paolis Kaluza, Dilip Makwana, Hao Wu, Chi Zhang. In collaboration with Trilio.
CS 6620 Fundamentals of Cloud Computing, Spring 2018, Northeastern University.
[demo][company write-up]
Subset Selection for Subspace Clustering
M. Clara De Paolis Kaluza.
EECE 7370 Advanced Computer Vision Final Project, Spring 2017, Northeastern University.
[report]
Recommender System for Yelp Dataset Using Matrix Factorization Methods
M. Clara De Paolis Kaluza.
CS 6220 Data Mining Techniques Final Project, Fall 2016, Northeastern University.
[slides]
[report]
[code]
Estimating the Fundamental Matrix of a Random Walk Transition Matrix
M. Clara De Paolis Kaluza.
Math 250 Graph Algorithms Final Project, Spring 2016, Tufts University.
[report]
Content-Aware Video-Frame Resizing Using Seam Carving
M. Clara De Paolis Kaluza, Sutawat Poomcharoenwatana.
ECE 520 Digital Image Processing and Communication Final Project, Fall 2009, Boston University.
[report]