Guillermo A. Cecchi
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
46
Venues
21
Active years
2003–2025
Best venue rank
A*
Where they publish
- BIJCNN9 papers
- A*IJCAI6 papers
- NationalAMIA3 papers
- A*AAAI3 papers
- AInterspeech3 papers
- AIUI2 papers
- A*EMNLP2 papers
- MulticonferenceICASSP2 papers
- A*ICDM2 papers
- CICANN2 papers
- CISNN2 papers
- A*WWW1 paper
- AUAI1 paper
- BPRICAI1 paper
- BLREC1 paper
- BICAART1 paper
- A*ICLR1 paper
- ANAACL1 paper
- AMICCAI1 paper
- A*ICML1 paper
- MulticonferenceICCS1 paper
Papers
46 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | IUI | TherapyView: Visualizing Therapy Sessions with Temporal Topic Modeling and AI-Generated Arts (short paper). | Baihan Lin, Stefan Zecevic, Djallel Bouneffouf, Guillermo A. Cecchi |
| 2023 | IJCAI | SupervisorBot: NLP-Annotated Real-Time Recommendations of Psychotherapy Treatment Strategies with Deep Reinforcement Learning. | Baihan Lin, Guillermo A. Cecchi, Djallel Bouneffouf |
| 2023 | IUI | Helping Therapists with NLP-Annotated Recommendation 17-24. | Baihan Lin, Guillermo A. Cecchi, Djallel Bouneffouf |
| 2023 | WWW | Psychotherapy AI Companion with Reinforcement Learning Recommendations and Interpretable Policy Dynamics. | Baihan Lin, Guillermo A. Cecchi, Djallel Bouneffouf |
| 2023 | UAI | Information theoretic clustering via divergence maximization among clusters. | Sahil Garg, Mina Dalirrooyfard, Anderson Schneider, Yeshaya Adler, Yuriy Nevmyvaka, Yu Chen, Fengpei Li, Guillermo A. Cecchi |
| 2022 | AMIA | ALS community pressing issues: lessons from a survey. | Aria Anvar, James D. Berry, Ernest Fraenkel, Indu Navar, Guillermo A. Cecchi, Raquel Norel |
| 2022 | IJCNN | Predicting Human Decision Making with LSTM. | Baihan Lin, Djallel Bouneffouf, Guillermo A. Cecchi |
| 2022 | PRICAI | Online Learning in Iterated Prisoner's Dilemma to Mimic Human Behavior. | Baihan Lin, Djallel Bouneffouf, Guillermo A. Cecchi |
| 2020 | AAAI | Modeling Dialogues with Hashcode Representations: A Nonparametric Approach. | Sahil Garg, Irina Rish, Guillermo A. Cecchi, Palash Goyal, Sarik Ghazarian, Shuyang Gao, Greg Ver Steeg, Aram Galstyan |
| 2020 | AMIA | Evaluating the utility of a picture description task for monitoring progression of ALS at home. | 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 | AMIA | Cloud-Native Language-Based Analysis for Neurodegenerative Assessment. | Sundar Saranathan, Piyush Madan, Carla Agurto, Elif Eyigz, Lauren Mitchell, Shilpa Mahatma, Guillermo A. Cecchi |
| 2020 | IJCAI | Models of Human Behavioral Agents in Bandits, Contextual Bandits and RL. | Baihan Lin, Guillermo A. Cecchi, Djallel Bouneffouf, Jenna M. Reinen, Irina Rish |
| 2020 | LREC | Dependency Analysis of Spoken Language for Assessment of Neurological Disorders. | Elif Eyigz, Mary Pietrowicz, Carla Agurto, Juan Rafael Orozco-Arroyave, Adolfo M. Garca, Sabine Skodda, Jan Rusz, Elmar Nth, Guillermo A. Cecchi |
| 2019 | AAAI | Kernelized Hashcode Representations for Relation Extraction. | Sahil Garg, Aram Galstyan, Greg Ver Steeg, Irina Rish, Guillermo A. Cecchi, Shuyang Gao |
| 2019 | EMNLP | Nearly-Unsupervised Hashcode Representations for Biomedical Relation Extraction. | Sahil Garg, Aram Galstyan, Greg Ver Steeg, Guillermo A. Cecchi |
| 2019 | ICASSP | Speech Markers for Clinical Assessment of Cocaine Users. | Carla Agurto, Raquel Norel, Mary Pietrowicz, Muhammad A. Parvaz, Sivan Kinreich, Keren Bachi, Guillermo A. Cecchi, Rita Z. Goldstein |
| 2019 | ICASSP | Dimensional Analysis of Laughter in Female Conversational Speech. | Mary Pietrowicz, Carla Agurto, Jonah Casebeer, Mark Hasegawa-Johnson, Karrie Karahalios, Guillermo A. Cecchi |
| 2019 | ICDM | Efficient Data Representation by Selecting Prototypes with Importance Weights. | Karthik S. Gurumoorthy, Amit Dhurandhar, Guillermo A. Cecchi, Charu C. Aggarwal |
| 2019 | IJCAI | Split Q Learning: Reinforcement Learning with Two-Stream Rewards. | Baihan Lin, Djallel Bouneffouf, Guillermo A. Cecchi |
| 2019 | Interspeech | A New Approach for Automating Analysis of Responses on Verbal Fluency Tests from Subjects At-Risk for Schizophrenia. | Mary Pietrowicz, Carla Agurto, Raquel Norel, Elif Eyigz, Guillermo A. Cecchi, Zarina R. Bilgrami, Cheryl Corcoran |
| 2018 | AAAI | Unsupervised Morphological Segmentation for Detecting Parkinson's Disease. | Elif Eyigz, Pablo Polosecki, Adolfo M. Garca, Katharina Rogg, Juan Rafael Orozco-Arroyave, Sabine Skodda, Eugenia Hesse, Agustn Ibez, Guillermo A. Cecchi |
| 2018 | ICAART | Predicting Cognitive Impairments with a Mobile Application. | Elif Eyigz, Guillermo A. Cecchi, Ravi Tejwani |
| 2018 | ICDM | Contextual Bandit with Adaptive Feature Extraction. | Baihan Lin, Djallel Bouneffouf, Guillermo A. Cecchi, Irina Rish |
| 2018 | IJCAI | Dialogue Modeling Via Hash Functions. | Sahil Garg, Guillermo A. Cecchi, Irina Rish, Shuyang Gao, Greg Ver Steeg, Sarik Ghazarian, Palash Goyal, Aram Galstyan |
| 2018 | Interspeech | Detection of Amyotrophic Lateral Sclerosis (ALS) via Acoustic Analysis. | Raquel Norel, Mary Pietrowicz, Carla Agurto, Shay Rishoni, Guillermo A. Cecchi |
| 2017 | EMNLP | Using Automated Metaphor Identification to Aid in Detection and Prediction of First-Episode Schizophrenia. | E. Dario Gutirrez, Guillermo A. Cecchi, Cheryl Corcoran, Philip R. Corlett |
| 2017 | ICLR | Neurogenesis-Inspired Dictionary Learning: Online Model Adaption in a Changing World. | Sahil Garg, Irina Rish, Guillermo A. Cecchi, Aurlie C. Lozano |
| 2017 | IJCAI | Context Attentive Bandits: Contextual Bandit with Restricted Context. | Djallel Bouneffouf, Irina Rish, Guillermo A. Cecchi, Raphal Fraud |
| 2017 | IJCAI | Neurogenesis-Inspired Dictionary Learning: Online Model Adaption in a Changing World. | Sahil Garg, Irina Rish, Guillermo A. Cecchi, Aurlie C. Lozano |
| 2017 | Interspeech | Phonological Markers of Oxytocin and MDMA Ingestion. | Carla Agurto, Raquel Norel, Rachel Ostrand, Gillinder Bedi, Harriet de Wit, Matthew J. Baggott, Matthew G. Kirkpatrick, Margaret Wardle, Guillermo A. Cecchi |
| 2013 | IJCNN | Multi-sensory integration using sparse spatio-temporal encoding. | A. Ravishankar Rao, Guillermo A. Cecchi |
| 2013 | IJCNN | Capacity limits in oscillatory networks: Implications for sensory coding. | A. Ravishankar Rao, Guillermo A. Cecchi |
| 2011 | IJCNN | The effects of feedback and lateral connections on perceptual processing: A study using oscillatory networks. | A. Ravishankar Rao, Guillermo A. Cecchi |
| 2010 | IJCNN | Investigating the variation of orientation tuning in a computational model of the visual cortex. | A. Ravishankar Rao, Guillermo A. Cecchi |
| 2010 | NAACL | The emergence of the modern concept of introspection: a quantitative linguistic analysis. | Ivn Raskovsky, Diego Fernndez Slezak, Carlos Diuk, Guillermo A. Cecchi |
| 2009 | ICANN | Self-Organizing Map Simulations Confirm Similarity of Spatial Correlation Structure in Natural Images and Cortical Representations. | A. Ravishankar Rao, Guillermo A. Cecchi |
| 2009 | IJCNN | An optimization approach to understanding structure-function relationships in the visual cortex. | A. Ravishankar Rao, Guillermo A. Cecchi |
| 2009 | MICCAI | A Cluster Overlap Measure for Comparison of Activations in fMRI Studies. | Guillermo A. Cecchi, Rahul Garg, A. Ravishankar Rao |
| 2008 | ICANN | Spatio-temporal Dynamics during Perceptual Processing in an Oscillatory Neural Network. | A. Ravishankar Rao, Guillermo A. Cecchi |
| 2008 | ICML | Closed-form supervised dimensionality reduction with generalized linear models. | Irina Rish, Genady Grabarnik, Guillermo A. Cecchi, Francisco Pereira, Geoffrey J. Gordon |
| 2008 | IJCNN | Efficient segmentation in multi-layer oscillatory networks. | A. Ravishankar Rao, Guillermo A. Cecchi, Charles C. Peck, James R. Kozloski |
| 2007 | IJCNN | Cortical representation of information about visual attributes: one network or many? | Youping Xiao, Ravi Rao, Guillermo A. Cecchi, Ehud Kaplan |
| 2007 | ISNN | Topographic Infomax in a Neural Multigrid. | James R. Kozloski, Guillermo A. Cecchi, Charles Peck, A. Ravishankar Rao |
| 2007 | ISNN | Emergence of Topographic Cortical Maps in a Parameterless Local Competition Network. | A. Ravishankar Rao, Guillermo A. Cecchi, Charles Peck, James R. Kozloski |
| 2006 | IJCNN | An optimization approach to achieve unsupervised segmentation and binding in a dynamical network. | A. Ravishankar Rao, Guillermo A. Cecchi, Charles C. Peck, James R. Kozloski |
| 2003 | ICCS | Simulation Infrastructure for Modeling Large Scale Neural Systems. | Charles C. Peck, James R. Kozloski, A. Ravishankar Rao, Guillermo A. Cecchi |