Ermal Toto

According to our database, Ermal Toto authored at least 16 papers between 2010 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2022

StudentSADD: Rapid Mobile Depression and Suicidal Ideation Screening of College Students during the Coronavirus Pandemic.

M. L. Tlachac, Ricardo Flores, Miranda Reisch, Rimsha Kayastha, Nina Taurich, Veronica Melican, Connor Bruneau, Hunter Caouette, Joshua Lovering, Ermal Toto, Elke A. Rundensteiner

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2022

AudiFace: Multimodal Deep Learning for Depression Screening.

Ricardo Flores, M. L. Tlachac, Ermal Toto, Elke A. Rundensteiner

Proceedings of the Machine Learning for Healthcare Conference, 2022

2021

The Connect.Cyberinfrastructure Portal.

Julie Ma, Sarah Akbar, Torey Battelle, Kevin L. Brandt, Eric Brown, Dana Brunson, Dhruva Chakravorty, Thomas E. Cheatham, Bhushan Chitre, Adrian Del Maestro, Andrea Elledge, Vikram Gazula, John Goodhue, James Griffioen, Abigail Hyde, Douglas M. Jennewein, Shelley Knuth, B. J. Lougee, Timothy Middelkoop, Sasmita Mohapatra, Sia Najafi, Kaylea Nelson, Lisa Perez, Bruce Segee, Julia Sheats, Andrew H. Sherman, Christopher Simmons, Ermal Toto, Scott Valcourt, Lucas Varella, Ralph Zottola

Proceedings of the PEARC '21: Practice and Experience in Advanced Research Computing, 2021

EMU: Early Mental Health Uncovering Framework and Dataset.

M. L. Tlachac, Ermal Toto, Joshua Lovering, Rimsha Kayastha, Nina Taurich, Elke A. Rundensteiner

Proceedings of the 20th IEEE International Conference on Machine Learning and Applications, 2021

Depression Screening Using Deep Learning on Follow-up Questions in Clinical Interviews.

Ricardo Flores, M. L. Tlachac, Ermal Toto, Elke A. Rundensteiner

Proceedings of the 20th IEEE International Conference on Machine Learning and Applications, 2021

AudiBERT: A Deep Transfer Learning Multimodal Classification Framework for Depression Screening.

Ermal Toto, M. L. Tlachac, Elke A. Rundensteiner

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020

Audio-based Depression Screening using Sliding Window Sub-clip Pooling.

Ermal Toto, M. L. Tlachac, Francis Lee Stevens, Elke A. Rundensteiner

Proceedings of the 19th IEEE International Conference on Machine Learning and Applications, 2020

Topological Data Analysis to Engineer Features from Audio Signals for Depression Detection.

M. L. Tlachac, Adam Sargent, Ermal Toto, Randy C. Paffenroth, Elke A. Rundensteiner

Proceedings of the 19th IEEE International Conference on Machine Learning and Applications, 2020

2019

FIRE: a two-level interactive visualization for deep exploration of association rules.

Abhishek Mukherji, Xika Lin, Ermal Toto, Christopher R. Botaish, Jason Whitehouse, Elke A. Rundensteiner, Matthew O. Ward

Int. J. Data Sci. Anal., 2019

Automated detection of nonmelanoma skin cancer using digital images: a systematic review.

Arthur Marka, Joi Carter, Ermal Toto, Saeed Hassanpour

BMC Medical Imaging, 2019

You're Making Me Depressed: Leveraging Texts from Contact Subsets to Predict Depression.

M. L. Tlachac, Ermal Toto, Elke A. Rundensteiner

Proceedings of the 2019 IEEE EMBS International Conference on Biomedical & Health Informatics, 2019

2018

Improving Emotion Detection with Sub-clip Boosting.

Ermal Toto, Brendan J. Foley, Elke A. Rundensteiner

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018

2016

PULSE: A Real Time System for Crowd Flow Prediction at Metropolitan Subway Stations.

Ermal Toto, Elke A. Rundensteiner, Yanhua Li, Richard Jordan, Mariya Ishutkina, Kajal T. Claypool, Jun Luo, Fan Zhang

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016

2013

Searching for Predictors of Learning Outcomes in Non Abstract Eye Movement Logs.

Janice D. Gobert, Ermal Toto, Michael Brigham, Michael Sao Pedro

Proceedings of the Artificial Intelligence in Education - 16th International Conference, 2013

2011

The Science Assistments Project: Intelligent tutoring for scientific inquiry skills.

Janice D. Gobert, Michael Sao Pedro, Orlando Montalvo, Ermal Toto, Matthew Bachmann, Ryan S. Baker

Proceedings of the 33th Annual Meeting of the Cognitive Science Society, 2011

2010

The Science Assistments Project: Scaffolding Scientific Inquiry Skills.

Janice D. Gobert, Orlando Montalvo, Ermal Toto, Michael Sao Pedro, Ryan Shaun Joazeiro de Baker

Proceedings of the Intelligent Tutoring Systems, 10th International Conference, 2010