Guillermo A. Cecchi
Orcid: 0000-0003-1013-8348Affiliations:
- IBM Research, Yorktown Heights, NY, USA
According to our database1,
Guillermo A. Cecchi
authored at least 108 papers
between 1996 and 2024.
Collaborative distances:
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Bibliography
2024
Trans. Mach. Learn. Res., 2024
People over trust AI-generated medical responses and view them to be as valid as doctors, despite low accuracy.
CoRR, 2024
Deep Generative Sampling in the Dual Divergence Space: A Data-efficient & Interpretative Approach for Generative AI.
CoRR, 2024
COMPASS: Computational Mapping of Patient-Therapist Alliance Strategies with Language Modeling.
CoRR, 2024
Proceedings of the 6th Clinical Natural Language Processing Workshop, 2024
2023
The Impact of COVID-19 on Chronic Pain: Multidimensional Clustering Reveals Deep Insights into Spinal Cord Stimulation Patients.
CoRR, 2023
GOKU-UI: Ubiquitous Inference through Attention and Multiple Shooting for Continuous-time Generative Models.
CoRR, 2023
TherapyView: Visualizing Therapy Sessions with Temporal Topic Modeling and AI-Generated Arts.
CoRR, 2023
Psychotherapy AI Companion with Reinforcement Learning Recommendations and Interpretable Policy Dynamics.
Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023
Proceedings of the Uncertainty in Artificial Intelligence, 2023
Proceedings of the Joint Proceedings of the IUI 2023 Workshops: HAI-GEN, 2023
SupervisorBot: NLP-Annotated Real-Time Recommendations of Psychotherapy Treatment Strategies with Deep Reinforcement Learning.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023
The Impact of COVID-19 on Chronic Pain: Multidimensional Clustering Reveals Deep Insights into Spinal Cord Stimulation Patients.
Proceedings of the IEEE International Conference on Digital Health, 2023
Proceedings of the IEEE International Conference on Digital Health, 2023
2022
Identifying patterns in amyotrophic lateral sclerosis progression from sparse longitudinal data.
Nat. Comput. Sci., 2022
PainPoints: A Framework for Language-based Detection of Chronic Pain and Expert-Collaborative Text-Summarization.
CoRR, 2022
Proceedings of the PRICAI 2022: Trends in Artificial Intelligence, 2022
Proceedings of the International Joint Conference on Neural Networks, 2022
Definition and clinical validation of Pain Patient States from high-dimensional mobile data: application to a chronic pain cohort.
Proceedings of the IEEE International Conference on Digital Health, 2022
Proceedings of the AMIA 2022, 2022
2021
Learning Brain Dynamics With Coupled Low-Dimensional Nonlinear Oscillators and Deep Recurrent Networks.
Neural Comput., 2021
2020
Predicting Human Decision Making in Psychological Tasks with Recurrent Neural Networks.
CoRR, 2020
CoRR, 2020
Dependency Analysis of Spoken Language for Assessment of Neurological Disorders.
Proceedings of the 3rd RaPID Workshop: Resources and Processing of Linguistic, 2020
Proceedings of the Human Brain and Artificial Intelligence - Second International Workshop, 2020
Analyzing acoustic and prosodic fluctuations in free speech to predict psychosis onset in high-risk youths.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020
A Story of Two Streams: Reinforcement Learning Models from Human Behavior and Neuropsychiatry.
Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020
Proceedings of the AMIA 2020, 2020
Evaluating the utility of a picture description task for monitoring progression of ALS at home.
Proceedings of the AMIA 2020, 2020
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
Reinforcement Learning Models of Human Behavior: Reward Processing in Mental Disorders.
CoRR, 2019
Predicting conversion to psychosis in clinical high risk patients using resting-state functional MRI features.
Proceedings of the Medical Imaging 2019: Biomedical Applications in Molecular, 2019
A New Approach for Automating Analysis of Responses on Verbal Fluency Tests from Subjects At-Risk for Schizophrenia.
Proceedings of the 20th Annual Conference of the International Speech Communication Association, 2019
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019
Proceedings of the IEEE International Conference on Acoustics, 2019
Proceedings of the IEEE International Conference on Acoustics, 2019
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
2018
An entropic barriers diffusion theory of decision-making in multiple alternative tasks.
PLoS Comput. Biol., 2018
CoRR, 2018
Proceedings of the 12th IEEE International Conference on Semantic Computing, 2018
Proceedings of the 19th Annual Conference of the International Speech Communication Association, 2018
Proceedings of the Linguistic and Cognitive Approaches To Dialog Agents Workshop co-located with the 27th International Joint Conference on Artificial Intelligence and the 23rd European Conference on Artificial Intelligence (IJCAI-ECAI 2018), 2018
Proceedings of the 2018 IEEE International Conference on Data Mining Workshops, 2018
Proceedings of the 10th International Conference on Agents and Artificial Intelligence, 2018
Proceedings of the Workshops of the The Thirty-Second AAAI Conference on Artificial Intelligence, 2018
2017
IBM J. Res. Dev., 2017
Computational psychiatry: Advancing predictive modeling of neurodegeneration with neuroimaging of Huntington's disease.
IBM J. Res. Dev., 2017
IBM J. Res. Dev., 2017
CoRR, 2017
Proceedings of the Medical Imaging 2017: Biomedical Applications in Molecular, 2017
Proceedings of the 18th Annual Conference of the International Speech Communication Association, 2017
Neurogenesis-Inspired Dictionary Learning: Online Model Adaption in a Changing World.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017
Using Automated Metaphor Identification to Aid in Detection and Prediction of First-Episode Schizophrenia.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017
Proceedings of the Artificial General Intelligence - 10th International Conference, 2017
2016
Evaluating effects of methylphenidate on brain activity in cocaine addiction: a machine-learning approach.
Proceedings of the Medical Imaging 2016: Biomedical Applications in Molecular, Structural, and Functional Imaging, San Diego, California, United States, 27 February, 2016
2015
Comput. Intell. Neurosci., 2015
2014
Spatial localization of the first and last enzymes effectively connects active metabolic pathways in bacteria.
BMC Syst. Biol., 2014
Proceedings of the Machine Learning and Interpretation in Neuroimaging, 2014
2013
Linking human brain local activity fluctuations to structural and functional network architectures.
NeuroImage, 2013
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013
2012
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012
Proceedings of the Medical Imaging 2012: Image Processing, 2012
2011
Fast computation of functional networks from fMRI activity: a multi-platform comparison.
Proceedings of the Medical Imaging 2011: Image Processing, 2011
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011
The effects of feedback and lateral connections on perceptual processing: A study using oscillatory networks.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011
2010
An objective function utilizing complex sparsity for efficient segmentation in multi-layer oscillatory networks.
Int. J. Intell. Comput. Cybern., 2010
The emergence of the modern concept of introspection: a quantitative linguistic analysis.
Proceedings of the NAACL HLT 2010 Young Investigators Workshop on Computational Approaches to Languages of the Americas, 2010
Investigating the variation of orientation tuning in a computational model of the visual cortex.
Proceedings of the International Joint Conference on Neural Networks, 2010
Proceedings of the Brain Informatics, International Conference, 2010
2009
NeuroImage, 2009
Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2009
An optimization approach to understanding structure-function relationships in the visual cortex.
Proceedings of the International Joint Conference on Neural Networks, 2009
Self-Organizing Map Simulations Confirm Similarity of Spatial Correlation Structure in Natural Images and Cortical Representations.
Proceedings of the Artificial Neural Networks, 2009
2008
Improved mapping of information distribution across the cortical surface with the support vector machine.
Neural Networks, 2008
Proceedings of the 2008 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008
Proceedings of the International Joint Conference on Neural Networks, 2008
Proceedings of the Machine Learning, 2008
Spatio-temporal Dynamics during Perceptual Processing in an Oscillatory Neural Network.
Proceedings of the Artificial Neural Networks, 2008
Proceedings of the Human Vision and Electronic Imaging XIII, 2008
2007
Proceedings of the Advances in Neural Networks, 2007
Proceedings of the Advances in Neural Networks, 2007
Proceedings of the International Joint Conference on Neural Networks, 2007
Proceedings of the Bio-Inspired Computing and Communication, 2007
2006
An optimization approach to achieve unsupervised segmentation and binding in a dynamical network.
Proceedings of the International Joint Conference on Neural Networks, 2006
Proceedings of the Human Vision and Electronic Imaging XI, 2006
2005
Evaluation of the Effect of Input Stimuli on the Quality of Orientation Maps Produced Through Self Organization.
Proceedings of the Image Analysis, 14th Scandinavian Conference, 2005
Proceedings of the Human Vision and Electronic Imaging X, 2005
2003
Proceedings of the Computational Science - ICCS 2003, 2003
2001
J. Comput. Neurosci., 2001
1996
Proceedings of the DNA Based Computers, 1996