Guillermo A. Cecchi

128 papers A* 9A 6B 11Misc 6Journal 47Unranked 48

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	A Cloud-Based, Multi-Modal Data Architecture for Post-Transplant Diabetes Management. ICDH Vince S. Siu, Carla Agurto, Michael Graziano, Takashi Itoh, Italo Buleje, Eduardo Castro, Jill Rusticelli, Shannon Downie, Kelly Paulus, Kimberly Jenkins, Guillermo A. Cecchi, Bing Dang, M. Cecilia Lansang
2025	—	`conf`	Beyond the Clinic: Leveraging Speech Acoustics and Phonetics for Cognitive Monitoring in PKU. ICDH Raquel Norel, Carla Agurto, Susan E. Waisbren, Katelin Curtis, Guillermo A. Cecchi, Shifali Singh
2025	J	`jnl`	Clinical assessment and interpretation of dysarthria in ALS using attention based deep learning AI models. npj Digit. Medicine Michele Merler, Carla Agurto, Julian Peller, Esteban Roitberg, Alan Taitz, Marcos A. Trevisan, Indu Navar, James D. Berry, Ernest Fraenkel, Lyle W. Ostrow, Guillermo A. Cecchi, Raquel Norel
2025	J	`jnl`	Defining and validating a multidimensional digital metric of health states in chronic back and leg pain. npj Digit. Medicine Jenna M. Reinen, Carla Agurto, Guillermo A. Cecchi, Richard Rauck, Eric Loudermilk, Julio Paez, Louis Bojrab, John Noles, Todd Turley, Mohab Ibrahim, Amol Patwardhan, James Scowcroft, Rene Przkora, Nathan Miller, Gassan Chaiban, Dat Huynh, Kristen Lechleiter, Brad Hershey, Rex Woon, Matt McDonald, Jeffrey L. Rogers
2025	—	`conf`	Predicting Glucose Levels in Diabetic Kidney Transplant Recipients Using Multivariate Temporal Modeling Across Clinically Defined Subcohorts. ICDH Carla Agurto, Eduardo Castro, Michael Graziano, Manqi Zhou, Italo Buleje, Shannon Downie, Brooke Barnes, Jill Rusticelli, Kelly Paulus, Bing Dang, Guillermo A. Cecchi, Vince S. Siu, M. Cecilia Lansang
2025	—	`conf`	TherapyView: Visualizing Therapy Sessions with Temporal Topic Modeling and AI-Generated Arts (short paper). IUI Workshops Baihan Lin, Stefan Zecevic, Djallel Bouneffouf, Guillermo A. Cecchi
2025	—	`conf`	Unraveling Cocaine and Heroin Addiction Patterns: A Robust LLM Approach Using iRISA Elements to Analyze Short and Spontaneous Speech Samples. ICDH Carla Agurto, Bo Wen, Jeffrey L. Rogers, Sarah King, Nelly Alia-Klein, Guillermo A. Cecchi, Rita Z. Goldstein
2024	J	`jnl`	COMPASS: Computational Mapping of Patient-Therapist Alliance Strategies with Language Modeling. CoRR Baihan Lin, Djallel Bouneffouf, Yulia Landa, Rachel Jespersen, Cheryl Corcoran, Guillermo A. Cecchi
2024	J	`jnl`	Deep Generative Sampling in the Dual Divergence Space: A Data-efficient & Interpretative Approach for Generative AI. CoRR Sahil Garg, Anderson Schneider, Anant Raj, Kashif Rasul, Yuriy Nevmyvaka, Sneihil Gopal, Amit Dhurandhar, Guillermo A. Cecchi, Irina Rish
2024	J	`jnl`	Effective Latent Differential Equation Models via Attention and Multiple Shooting. Trans. Mach. Learn. Res. Germán Abrevaya, Mahta Ramezanian-Panahi, Jean-Christophe Gagnon-Audet, Pablo Polosecki, Irina Rish, Silvina Ponce Dawson, Guillermo A. Cecchi, Guillaume Dumas
2024	—	`conf`	Exploring Chronic Pain Experiences: Leveraging Text and Audio Analysis to Infer Well-Being Metrics. ICDH Carla Agurto, Michele Merler, Jenna M. Reinen, Pritish Parida, Guillermo A. Cecchi, Jeffrey L. Rogers
2024	—	`conf`	Harnessing Remote Speech Tasks for Early ALS Biomarker Identification. ICDH Carla Agurto, Michele Merler, Esteban Roitberg, Alan Taitz, Marcos A. Trevisan, Diego E. Shalom, Julian Peller, Lyle W. Ostrow, Indu Navar, Ernest Fraenkel, James D. Berry, Guillermo A. Cecchi, Raquel Norel
2024	J	`jnl`	People over trust AI-generated medical responses and view them to be as valid as doctors, despite low accuracy. CoRR Shruthi Shekar, Pat Pataranutaporn, Chethan Sarabu, Guillermo A. Cecchi, Pattie Maes
2024	—	`conf`	Remotely-captured, free-text responses track with patient health states in chronic pain. ICDH Jenna M. Reinen, Carla Agurto, Guillermo A. Cecchi, Jeffrey L. Rogers
2024	—	`conf`	Working Alliance Transformer for Psychotherapy Dialogue Classification. ClinicalNLP@NAACL Baihan Lin, Guillermo A. Cecchi, Djallel Bouneffouf
2023	J	`jnl`	GOKU-UI: Ubiquitous Inference through Attention and Multiple Shooting for Continuous-time Generative Models. CoRR Germán Abrevaya, Mahta Ramezanian-Panahi, Jean-Christophe Gagnon-Audet, Irina Rish, Pablo Polosecki, Silvina Ponce Dawson, Guillermo A. Cecchi, Guillaume Dumas
2023	—	`conf`	Helping Therapists with NLP-Annotated Recommendation 17-24. IUI Workshops Baihan Lin, Guillermo A. Cecchi, Djallel Bouneffouf
2023	A	`conf`	Information theoretic clustering via divergence maximization among clusters. UAI Sahil Garg, Mina Dalirrooyfard, Anderson Schneider, Yeshaya Adler, Yuriy Nevmyvaka, Yu Chen, Fengpei Li, Guillermo A. Cecchi
2023	—	`conf`	Psychotherapy AI Companion with Reinforcement Learning Recommendations and Interpretable Policy Dynamics. WWW (Companion Volume) Baihan Lin, Guillermo A. Cecchi, Djallel Bouneffouf
2023	J	`jnl`	Psychotherapy AI Companion with Reinforcement Learning Recommendations and Interpretable Policy Dynamics. CoRR Baihan Lin, Guillermo A. Cecchi, Djallel Bouneffouf
2023	—	`conf`	Remote Inference of Cognitive Scores in ALS Patients Using a Picture Description. ICDH Carla Agurto, Guillermo A. Cecchi, Bo Wen, Ernest Fraenkel, James D. Berry, Indu Navar, Raquel Norel
2023	J	`jnl`	Remote Inference of Cognitive Scores in ALS Patients Using a Picture Description. CoRR Carla Agurto, Guillermo A. Cecchi, Bo Wen, Ernest Fraenkel, James D. Berry, Indu Navar, Raquel Norel
2023	A*	`conf`	SupervisorBot: NLP-Annotated Real-Time Recommendations of Psychotherapy Treatment Strategies with Deep Reinforcement Learning. IJCAI Baihan Lin, Guillermo A. Cecchi, Djallel Bouneffouf
2023	—	`conf`	The Impact of COVID-19 on Chronic Pain: Multidimensional Clustering Reveals Deep Insights into Spinal Cord Stimulation Patients. ICDH Sara E. Berger, Carla Agurto, Guillermo A. Cecchi, Elif Eyigöz, Brad Hershey, Kristen Lechleiter, Dat Huynh, Matt McDonald, Jeffrey L. Rogers
2023	J	`jnl`	The Impact of COVID-19 on Chronic Pain: Multidimensional Clustering Reveals Deep Insights into Spinal Cord Stimulation Patients. CoRR Sara E. Berger, Carla Agurto, Guillermo A. Cecchi, Elif Eyigöz, Brad Hershey, Kristen Lechleiter, NAVITAS / ENVISION Studies Physician Author Group, Dat Huynh, Matt McDonald, Jeffrey L. Rogers
2023	J	`jnl`	TherapyView: Visualizing Therapy Sessions with Temporal Topic Modeling and AI-Generated Arts. CoRR Baihan Lin, Stefan Zecevic, Djallel Bouneffouf, Guillermo A. Cecchi
2023	J	`jnl`	Towards Healthy AI: Large Language Models Need Therapists Too. CoRR Baihan Lin, Djallel Bouneffouf, Guillermo A. Cecchi, Kush R. Varshney
2022	Misc	`conf`	ALS community pressing issues: lessons from a survey. AMIA Aria Anvar, James D. Berry, Ernest Fraenkel, Indu Navar, Guillermo A. Cecchi, Raquel Norel
2022	J	`jnl`	Deep Annotation of Therapeutic Working Alliance in Psychotherapy. CoRR Baihan Lin, Guillermo A. Cecchi, Djallel Bouneffouf
2022	—	`conf`	Definition and clinical validation of Pain Patient States from high-dimensional mobile data: application to a chronic pain cohort. ICDH Jenna M. Reinen, Carla Agurto, Guillermo A. Cecchi, Jeffrey L. Rogers, NAVITAS / ENVISION Studies Physician Author Group, Boston Scientific Research Scientists Consortium
2022	J	`jnl`	Identifying patterns in amyotrophic lateral sclerosis progression from sparse longitudinal data. Nat. Comput. Sci. Divya Ramamoorthy, Kristen Severson, Soumya Ghosh, Karen Sachs, Emily G. Baxi, Alyssa N. Coyne, Elizabeth Mosmiller, Lindsey Hayes, Aianna Cerezo, Omar Ahmad, Promit Roy, Steven Zeiler, John W. Krakauer, Jonathan Li, Aneesh Donde, Nhan Huynh, Miriam Adam, Brook T. Wassie, Alexander LeNail, Natasha Leanna Patel-Murray, Yogindra Raghav, Velina Kozareva, Stanislav Tsitkov, Tobias Ehrenberger, Julia A. Kaye, Leandro Lima, Stacia K. Wyman, Edward Vertudes, Naufa Amirani, Krishna Raja, Reuben Thomas, Ryan G. Lim, Ricardo Miramontes, Jie Wu, Vineet Vaibhav, Andrea Matlock, Vidya Venkatraman, Ronald Holewenski, Niveda Sundararaman, Rakhi Pandey, Danica-Mae Manalo, Aaron Frank, Loren Ornelas, Lindsey Panther, Emilda Gomez, Erick Galvez, Daniel Pérez, Imara Meepe, Susan Lei, Louis Pinedo, Chunyan Liu, Ruby Moran, Dhruv Sareen, Barry Landin, Carla Agurto, Guillermo A. Cecchi, Raquel Norel, Sara Thrower, Sarah Luppino, Alanna Farrar, Lindsay Pothier, Hong Yu, Ervin Sinani, Prasha Vigneswaran, Alexander V. Sherman, S. Michelle Farr, Berhan Mandefro, Hannah Trost, Maria G. Banuelos, Veronica Garcia, Michael Workman, Richie Ho, Robert Baloh, Jennifer Roggenbuck, Matthew B. Harms, Carolyn Prina, Sarah Heintzman, Stephen Kolb, Jennifer Stocksdale, Keona Wang, Todd Morgan, Daragh Heitzman, Arish Jamil, Jennifer Jockel-Balsarotti, Elizabeth Karanja, Jesse Markway, Molly McCallum, Tim Miller, Ben Joslin, Deniz Alibazoglu, Senda Ajroud-Driss, Jay C. Beavers, Mary Bellard, Elizabeth Bruce, Nicholas J. Maragakis, Merit E. Cudkowicz, James D. Berry, Terri Thompson, Steven Finkbeiner, Leslie M. Thompson, Jennifer E. Van Eyk, Clive N. Svendsen, Jeffrey D. Rothstein, Jonathan D. Glass, Christina N. Fournier, Alexander Sherman, Christian Lunetta, David Walk, Ghazala Hayat, James Wymer, Kelly Gwathmey, Nicholas Olney, Terry Heiman-Patterson, Ximena Arcila-Londono, Kenneth Faulconer, Ervin Sanani, Alex Berger, Julia Mirochnick, Todd M. Herrington, Kenney Ng, Ernest Fraenkel
2022	J	`jnl`	Neural Topic Modeling of Psychotherapy Sessions. CoRR Baihan Lin, Djallel Bouneffouf, Guillermo A. Cecchi, Ravi Tejwani
2022	—	`conf`	Online Learning in Iterated Prisoner's Dilemma to Mimic Human Behavior. PRICAI (3) Baihan Lin, Djallel Bouneffouf, Guillermo A. Cecchi
2022	J	`jnl`	PainPoints: A Framework for Language-based Detection of Chronic Pain and Expert-Collaborative Text-Summarization. CoRR Shreyas Fadnavis, Amit Dhurandhar, Raquel Norel, Jenna M. Reinen, Carla Agurto, Erica Secchettin, Vittorio Schweiger, Giovanni Perini, Guillermo A. Cecchi
2022	B	`conf`	Predicting Human Decision Making with LSTM. IJCNN Baihan Lin, Djallel Bouneffouf, Guillermo A. Cecchi
2022	J	`jnl`	Working Alliance Transformer for Psychotherapy Dialogue Classification. CoRR Baihan Lin, Guillermo A. Cecchi, Djallel Bouneffouf
2021	J	`jnl`	Learning Brain Dynamics With Coupled Low-Dimensional Nonlinear Oscillators and Deep Recurrent Networks. Neural Comput. Germán Abrevaya, Guillaume Dumas, Aleksandr Y. Aravkin, Peng Zheng, Jean-Christophe Gagnon-Audet, James R. Kozloski, Pablo Polosecki, Guillaume Lajoie, David D. Cox, Silvina Ponce Dawson, Guillermo A. Cecchi, Irina Rish
2020	A	`conf`	A Story of Two Streams: Reinforcement Learning Models from Human Behavior and Neuropsychiatry. AAMAS Baihan Lin, Guillermo A. Cecchi, Djallel Bouneffouf, Jenna M. Reinen, Irina Rish
2020	—	`conf`	Analyzing acoustic and prosodic fluctuations in free speech to predict psychosis onset in high-risk youths. EMBC Carla Agurto, Mary Pietrowicz, Raquel Norel, Elif K. Eyigöz, Emma Stanislawski, Guillermo A. Cecchi, Cheryl Corcoran
2020	Misc	`conf`	Cloud-Native Language-Based Analysis for Neurodegenerative Assessment. AMIA Sundar Saranathan, Piyush Madan, Carla Agurto, Elif Eyigöz, Lauren Mitchell, Shilpa Mahatma, Guillermo A. Cecchi
2020	—	`conf`	Dependency Analysis of Spoken Language for Assessment of Neurological Disorders. RaPID@LREC Elif Eyigöz, Mary Pietrowicz, Carla Agurto, Juan Rafael Orozco-Arroyave, Adolfo M. García, Sabine Skodda, Jan Rusz, Elmar Nöth, Guillermo A. Cecchi
2020	Misc	`conf`	Evaluating the utility of a picture description task for monitoring progression of ALS at home. AMIA Carla Agurto, Guillermo A. Cecchi, Mary Pietrowicz, Divya Ramamoorthy, Lorin Wilde, Elizabeth Mosmiller, Emily G. Baxi, Nicholas J. Maragakis, James D. Berry, Ernest Fraenkel, Jeffrey D. Rothstein, Raquel Norel
2020	A*	`conf`	Modeling Dialogues with Hashcode Representations: A Nonparametric Approach. AAAI Sahil Garg, Irina Rish, Guillermo A. Cecchi, Palash Goyal, Sarik Ghazarian, Shuyang Gao, Greg Ver Steeg, Aram Galstyan
2020	—	`conf`	Models of Human Behavioral Agents in Bandits, Contextual Bandits and RL. HBAI@IJCAI Baihan Lin, Guillermo A. Cecchi, Djallel Bouneffouf, Jenna M. Reinen, Irina Rish
2020	J	`jnl`	Online Learning in Iterated Prisoner's Dilemma to Mimic Human Behavior. CoRR Baihan Lin, Djallel Bouneffouf, Guillermo A. Cecchi
2020	J	`jnl`	Predicting Human Decision Making in Psychological Tasks with Recurrent Neural Networks. CoRR Baihan Lin, Djallel Bouneffouf, Guillermo A. Cecchi
2020	J	`jnl`	Unified Models of Human Behavioral Agents in Bandits, Contextual Bandits and RL. CoRR Baihan Lin, Guillermo A. Cecchi, Djallel Bouneffouf, Jenna M. Reinen, Irina Rish
2019	A	`conf`	A New Approach for Automating Analysis of Responses on Verbal Fluency Tests from Subjects At-Risk for Schizophrenia. INTERSPEECH Mary Pietrowicz, Carla Agurto, Raquel Norel, Elif Eyigöz, Guillermo A. Cecchi, Zarina R. Bilgrami, Cheryl Corcoran
2019	—	`conf`	Analyzing progression of motor and speech impairment in ALS. EMBC Carla Agurto, Mary Pietrowicz, Elif K. Eyigöz, Elizabeth Mosmiller, Emily G. Baxi, Jeffrey D. Rothstein, Promit Roy, James D. Berry, Nicholas J. Maragakis, Omar Ahmad, Guillermo A. Cecchi, Raquel Norel
2019	Misc	`conf`	Dimensional Analysis of Laughter in Female Conversational Speech. ICASSP Mary Pietrowicz, Carla Agurto, Jonah Casebeer, Mark Hasegawa-Johnson, Karrie Karahalios, Guillermo A. Cecchi
2019	A*	`conf`	Efficient Data Representation by Selecting Prototypes with Importance Weights. ICDM Karthik S. Gurumoorthy, Amit Dhurandhar, Guillermo A. Cecchi, Charu C. Aggarwal
2019	A*	`conf`	Kernelized Hashcode Representations for Relation Extraction. AAAI Sahil Garg, Aram Galstyan, Greg Ver Steeg, Irina Rish, Guillermo A. Cecchi, Shuyang Gao
2019	—	`conf`	Nearly-Unsupervised Hashcode Representations for Biomedical Relation Extraction. EMNLP/IJCNLP (1) Sahil Garg, Aram Galstyan, Greg Ver Steeg, Guillermo A. Cecchi
2019	J	`jnl`	Nearly-Unsupervised Hashcode Representations for Relation Extraction. CoRR Sahil Garg, Aram Galstyan, Greg Ver Steeg, Guillermo A. Cecchi
2019	—	`conf`	Predicting conversion to psychosis in clinical high risk patients using resting-state functional MRI features. Biomedical Applications in Molecular, Structural, and Functional Imaging Jolie McDonnell, William Hord, Jenna M. Reinen, Pablo Polosecki, Irina Rish, Guillermo A. Cecchi
2019	J	`jnl`	Reinforcement Learning Models of Human Behavior: Reward Processing in Mental Disorders. CoRR Baihan Lin, Guillermo A. Cecchi, Djallel Bouneffouf, Jenna M. Reinen, Irina Rish
2019	Misc	`conf`	Speech Markers for Clinical Assessment of Cocaine Users. ICASSP Carla Agurto, Raquel Norel, Mary Pietrowicz, Muhammad A. Parvaz, Sivan Kinreich, Keren Bachi, Guillermo A. Cecchi, Rita Z. Goldstein
2019	A*	`conf`	Split Q Learning: Reinforcement Learning with Two-Stream Rewards. IJCAI Baihan Lin, Djallel Bouneffouf, Guillermo A. Cecchi
2019	J	`jnl`	Split Q Learning: Reinforcement Learning with Two-Stream Rewards. CoRR Baihan Lin, Djallel Bouneffouf, Guillermo A. Cecchi
2018	J	`jnl`	Adaptive Representation Selection in Contextual Bandit with Unlabeled History. CoRR Baihan Lin, Guillermo A. Cecchi, Djallel Bouneffouf, Irina Rish
2018	J	`jnl`	An entropic barriers diffusion theory of decision-making in multiple alternative tasks. PLoS Comput. Biol. Diego Fernández Slezak, Mariano Sigman, Guillermo A. Cecchi
2018	—	`conf`	Contextual Bandit with Adaptive Feature Extraction. ICDM Workshops Baihan Lin, Djallel Bouneffouf, Guillermo A. Cecchi, Irina Rish
2018	A	`conf`	Detection of Amyotrophic Lateral Sclerosis (ALS) via Acoustic Analysis. INTERSPEECH Raquel Norel, Mary Pietrowicz, Carla Agurto, Shay Rishoni, Guillermo A. Cecchi
2018	—	`conf`	Dialogue Modeling Via Hash Functions. LaCATODA@IJCAI Sahil Garg, Guillermo A. Cecchi, Irina Rish, Shuyang Gao, Greg Ver Steeg, Sarik Ghazarian, Palash Goyal, Aram Galstyan
2018	J	`jnl`	Learning Nonlinear Brain Dynamics: van der Pol Meets LSTM. CoRR Germán Abrevaya, Aleksandr Y. Aravkin, Guillermo A. Cecchi, Irina Rish, Pablo Polosecki, Peng Zheng, Silvina Ponce Dawson
2018	—	`conf`	Predicting Cognitive Impairments with a Mobile Application. ICAART (2) Elif Eyigöz, Guillermo A. Cecchi, Ravi Tejwani
2018	—	`conf`	Predictive Linguistic Markers of Suicidality in Poets. ICSC Carla Agurto, Pat Pataranutaporn, Elif K. Eyigöz, Gustavo Stolovitzky, Guillermo A. Cecchi
2018	—	`conf`	Unsupervised Morphological Segmentation for Detecting Parkinson's Disease. AAAI Workshops Elif Eyigöz, Pablo Polosecki, Adolfo M. García, Katharina Rogg, Juan Rafael Orozco-Arroyave, Sabine Skodda, Eugenia Hesse, Agustín Ibáñez, Guillermo A. Cecchi
2017	—	`conf`	Bandit Models of Human Behavior: Reward Processing in Mental Disorders. AGI Djallel Bouneffouf, Irina Rish, Guillermo A. Cecchi
2017	J	`jnl`	Bandit Models of Human Behavior: Reward Processing in Mental Disorders. CoRR Djallel Bouneffouf, Irina Rish, Guillermo A. Cecchi
2017	J	`jnl`	Computational psychiatry: Advancing predictive modeling of neurodegeneration with neuroimaging of Huntington's disease. IBM J. Res. Dev. Pablo Polosecki, Eduardo Castro, Andrew Wood, John H. Warner, Irina Rish, Guillermo A. Cecchi
2017	J	`jnl`	Computing the structure of language for neuropsychiatric evaluation. IBM J. Res. Dev. Guillermo A. Cecchi, Viatcheslav Gurev, Steve Heisig, Raquel Norel, Irina Rish, Samantha R. Schrecke
2017	A*	`conf`	Context Attentive Bandits: Contextual Bandit with Restricted Context. IJCAI Djallel Bouneffouf, Irina Rish, Guillermo A. Cecchi, Raphaël Féraud
2017	J	`jnl`	Context Attentive Bandits: Contextual Bandit with Restricted Context. CoRR Djallel Bouneffouf, Irina Rish, Guillermo A. Cecchi, Raphaël Féraud
2017	J	`jnl`	Efficient Representation for Natural Language Processing via Kernelized Hashcodes. CoRR Sahil Garg, Aram Galstyan, Irina Rish, Guillermo A. Cecchi, Shuyang Gao
2017	J	`jnl`	Holographic brain: Distributed versus local activation patterns in fMRI. IBM J. Res. Dev. Irina Rish, Guillermo A. Cecchi
2017	—	`conf`	Learning discriminative functional network features of schizophrenia. Biomedical Applications in Molecular, Structural, and Functional Imaging Mina Gheiratmand, Irina Rish, Guillermo A. Cecchi, Matthew R. G. Brown, Russell Greiner, Pouya Bashivan, Pablo Polosecki, Serdar M. Dursun
2017	—	`conf`	Neurogenesis-Inspired Dictionary Learning: Online Model Adaption in a Changing World. ICLR (Workshop) Sahil Garg, Irina Rish, Guillermo A. Cecchi, Aurélie C. Lozano
2017	A*	`conf`	Neurogenesis-Inspired Dictionary Learning: Online Model Adaption in a Changing World. IJCAI Sahil Garg, Irina Rish, Guillermo A. Cecchi, Aurélie C. Lozano
2017	J	`jnl`	Neurogenesis-Inspired Dictionary Learning: Online Model Adaption in a Changing World. CoRR Sahil Garg, Irina Rish, Guillermo A. Cecchi, Aurélie C. Lozano
2017	A	`conf`	Phonological Markers of Oxytocin and MDMA Ingestion. INTERSPEECH Carla Agurto, Raquel Norel, Rachel Ostrand, Gillinder Bedi, Harriet de Wit, Matthew J. Baggott, Matthew G. Kirkpatrick, Margaret Wardle, Guillermo A. Cecchi
2017	J	`jnl`	ProtoDash: Fast Interpretable Prototype Selection. CoRR Karthik S. Gurumoorthy, Amit Dhurandhar, Guillermo A. Cecchi
2017	A*	`conf`	Using Automated Metaphor Identification to Aid in Detection and Prediction of First-Episode Schizophrenia. EMNLP E. Dario Gutiérrez, Guillermo A. Cecchi, Cheryl Corcoran, Philip R. Corlett
2016	J	`jnl`	Emotional Intensity analysis in Bipolar subjects. CoRR Facundo Carrillo, Natalia Mota, Mauro Copelli, Sidarta Ribeiro, Mariano Sigman, Guillermo A. Cecchi, Diego Fernández Slezak
2016	—	`conf`	Evaluating effects of methylphenidate on brain activity in cocaine addiction: a machine-learning approach. Biomedical Applications in Molecular, Structural, and Functional Imaging Irina Rish, Pouya Bashivan, Guillermo A. Cecchi, Rita Z. Goldstein
2016	—	`ed.`	Machine Learning and Interpretation in Neuroimaging - 4th International Workshop, MLINI 2014, Held at NIPS 2014, Montreal, QC, Canada, December 13, 2014, Revised Selected Papers MLINI@NIPS Irina Rish, Georg Langs, Leila Wehbe, Guillermo A. Cecchi, Kai-min Kevin Chang, Brian Murphy
2016	J	`jnl`	The ontogeny of discourse structure mimics the development of literature. CoRR Natalia Bezerra Mota, Sylvia Pinheiro, Mariano Sigman, Diego Fernández Slezak, Guillermo A. Cecchi, Mauro Copelli, Sidarta Ribeiro
2015	J	`jnl`	Fast Distributed Dynamics of Semantic Networks via Social Media. Comput. Intell. Neurosci. Facundo Carrillo, Guillermo A. Cecchi, Mariano Sigman, Diego Fernández Slezak
2014	—	`conf`	Automated Speech Analysis for Psychosis Evaluation. MLINI@NIPS Facundo Carrillo, Natalia Mota, Mauro Copelli, Sidarta Ribeiro, Mariano Sigman, Guillermo A. Cecchi, Diego Fernández Slezak
2014	J	`jnl`	Spatial localization of the first and last enzymes effectively connects active metabolic pathways in bacteria. BMC Syst. Biol. Pablo Meyer, Guillermo A. Cecchi, Gustavo Stolovitzky
2013	B	`conf`	Capacity limits in oscillatory networks: Implications for sensory coding. IJCNN A. Ravishankar Rao, Guillermo A. Cecchi
2013	J	`jnl`	Linking human brain local activity fluctuations to structural and functional network architectures. NeuroImage Alex T. Baria, A. Mansour, Lejian Huang, Marwan N. Baliki, Guillermo A. Cecchi, M.-Marsel Mesulam, Apkar Vania Apkarian
2013	B	`conf`	Multi-sensory integration using sparse spatio-temporal encoding. IJCNN A. Ravishankar Rao, Guillermo A. Cecchi
2012	J	`jnl`	Predictive Dynamics of Human Pain Perception. PLoS Comput. Biol. Guillermo A. Cecchi, Lejian Huang, Javeria Ali Hashmi, Marwan N. Baliki, María V. Centeno, Irina Rish, Apkar Vania Apkarian
2012	B	`conf`	Sparse regression analysis of task-relevant information distribution in the brain. Image Processing Irina Rish, Guillermo A. Cecchi, Kyle Heuton, Marwan N. Baliki, Apkar Vania Apkarian
2012	A	`conf`	Variable Selection for Gaussian Graphical Models. AISTATS Jean Honorio, Dimitris Samaras, Irina Rish, Guillermo A. Cecchi
2011	—	`conf`	A spatio-temporal support vector machine searchlight for fMRI analysis. ISBI A. Ravishankar Rao, Rahul Garg, Guillermo A. Cecchi
2011	—	`conf`	Brain as a self-predictor: Sparse full-brain auto-regressive modeling in fMRI. ISBI Rahul Garg, Guillermo A. Cecchi, A. Ravishankar Rao
2011	B	`conf`	Fast computation of functional networks from fMRI activity: a multi-platform comparison. Image Processing A. Ravishankar Rao, Rajesh Bordawekar, Guillermo A. Cecchi
2011	J	`jnl`	Full-brain auto-regressive modeling (FARM) using fMRI. NeuroImage Rahul Garg, Guillermo A. Cecchi, A. Ravishankar Rao
2011	B	`conf`	The effects of feedback and lateral connections on perceptual processing: A study using oscillatory networks. IJCNN A. Ravishankar Rao, Guillermo A. Cecchi
2010	J	`jnl`	An objective function utilizing complex sparsity for efficient segmentation in multi-layer oscillatory networks. Int. J. Intell. Comput. Cybern. A. Ravishankar Rao, Guillermo A. Cecchi
2010	B	`conf`	Investigating the variation of orientation tuning in a computational model of the visual cortex. IJCNN A. Ravishankar Rao, Guillermo A. Cecchi
2010	—	`conf`	Sparse Regression Models of Pain Perception. Brain Informatics Irina Rish, Guillermo A. Cecchi, Marwan N. Baliki, Apkar Vania Apkarian
2010	—	`conf`	The emergence of the modern concept of introspection: a quantitative linguistic analysis. NAACL (Young Investigators Workshop) Iván Raskovsky, Diego Fernández Slezak, Carlos Diuk, Guillermo A. Cecchi
2009	—	`conf`	A Cluster Overlap Measure for Comparison of Activations in fMRI Studies. MICCAI (1) Guillermo A. Cecchi, Rahul Garg, A. Ravishankar Rao
2009	B	`conf`	An optimization approach to understanding structure-function relationships in the visual cortex. IJCNN A. Ravishankar Rao, Guillermo A. Cecchi
2009	—	`conf`	Discriminative Network Models of Schizophrenia. NIPS Guillermo A. Cecchi, Irina Rish, Benjamin Thyreau, Bertrand Thirion, Marion Plaze, Marie-Laure Paillère-Martinot, Catherine Martelli, Jean-Luc Martinot, Jean-Baptiste Poline
2009	J	`jnl`	Prediction and interpretation of distributed neural activity with sparse models. NeuroImage Melissa K. Carroll, Guillermo A. Cecchi, Irina Rish, Rahul Garg, A. Ravishankar Rao
2009	—	`conf`	Self-Organizing Map Simulations Confirm Similarity of Spatial Correlation Structure in Natural Images and Cortical Representations. ICANN (1) A. Ravishankar Rao, Guillermo A. Cecchi
2008	A*	`conf`	Closed-form supervised dimensionality reduction with generalized linear models. ICML Irina Rish, Genady Grabarnik, Guillermo A. Cecchi, Francisco Pereira, Geoffrey J. Gordon
2008	B	`conf`	Efficient segmentation in multi-layer oscillatory networks. IJCNN A. Ravishankar Rao, Guillermo A. Cecchi, Charles C. Peck, James R. Kozloski
2008	J	`jnl`	Improved mapping of information distribution across the cortical surface with the support vector machine. Neural Networks Youping Xiao, Ravi Rao, Guillermo A. Cecchi, Ehud Kaplan
2008	—	`conf`	Inferring brain dynamics using granger causality on fMRI data. ISBI Guillermo A. Cecchi, Rahul Garg, A. Ravishankar Rao
2008	—	`conf`	Spatio-temporal Dynamics during Perceptual Processing in an Oscillatory Neural Network. ICANN (2) A. Ravishankar Rao, Guillermo A. Cecchi
2008	—	`conf`	Statistics of natural scenes and the cortical representation of color. Human Vision and Electronic Imaging Guillermo A. Cecchi, A. Ravishankar Rao, Youping Xiao, Ehud Kaplan
2008	J	`jnl`	Unsupervised Segmentation With Dynamical Units. IEEE Trans. Neural Networks A. Ravishankar Rao, Guillermo A. Cecchi, Charles C. Peck, James R. Kozloski
2007	B	`conf`	Cortical representation of information about visual attributes: one network or many? IJCNN Youping Xiao, Ravi Rao, Guillermo A. Cecchi, Ehud Kaplan
2007	—	`conf`	Emergence of Topographic Cortical Maps in a Parameterless Local Competition Network. ISNN (2) A. Ravishankar Rao, Guillermo A. Cecchi, Charles Peck, James R. Kozloski
2007	—	`conf`	Network-Related Challenges and Insights from Neuroscience. BIOWIRE Charles Peck, James R. Kozloski, Guillermo A. Cecchi, Sean L. Hill, Felix Schürmann, Henry Markram, Ravi Rao
2007	—	`conf`	Topographic Infomax in a Neural Multigrid. ISNN (2) James R. Kozloski, Guillermo A. Cecchi, Charles Peck, A. Ravishankar Rao
2006	B	`conf`	An optimization approach to achieve unsupervised segmentation and binding in a dynamical network. IJCNN A. Ravishankar Rao, Guillermo A. Cecchi, Charles C. Peck, James R. Kozloski
2006	—	`conf`	Inference and segmentation in cortical processing. Human Vision and Electronic Imaging Yuan Liu, Guillermo A. Cecchi, A. Ravishankar Rao, James R. Kozloski, Charles C. Peck
2005	—	`conf`	A model of the formation of a self-organized cortical representation of color. Human Vision and Electronic Imaging A. Ravishankar Rao, Guillermo A. Cecchi, Charles Peck, James R. Kozloski
2005	—	`conf`	Evaluation of the Effect of Input Stimuli on the Quality of Orientation Maps Produced Through Self Organization. SCIA A. Ravishankar Rao, Guillermo A. Cecchi, Charles Peck, James R. Kozloski
2003	Misc	`conf`	Simulation Infrastructure for Modeling Large Scale Neural Systems. International Conference on Computational Science Charles C. Peck, James R. Kozloski, A. Ravishankar Rao, Guillermo A. Cecchi
2001	J	`jnl`	Unsupervised Learning and Adaptation in a Model of Adult Neurogenesis. J. Comput. Neurosci. Guillermo A. Cecchi, Leopoldo T. Petreanu, Arturo Alvarez-Buylla, Marcelo O. Magnasco
1996	—	`conf`	DNA based molecular computation: Template-template interactions in PCR. DNA Based Computers Peter D. Kaplan, Guillermo A. Cecchi, Albert Libchaber