Accepted Papers
Paper ID | Paper Title | Author Names | | Poster | Pitch | Citation |
|---|---|---|---|---|---|---|
| 3 | Analysis of factors that influence the performance of biometric systems based on EEG signals Applications Poster | Carrion, Dustin Javier*; Fonseca-Delgado, Rigoberto; Pineda, Israel |  |  |  | Carrion, D. J. et al. (2020). Analysis of factors that influence the performance of biometric systems based on EEG signals [Poster Presentation]. Neural Information Processing Systems Conference: LatinX in AI (LXAI) Research Workshop 2020, Virtual. https://research.latinxinai.org/papers/neurips/2020/pdf/carrion_short-presentation_3.pdf |
| 5 | Deep Learning model for wildfire detection through the fusion of visible and infrared information Deep Learning Poster | Ciprián-Sánchez, Jorge F*; Ochoa-Ruiz, Gilberto | |  | | Ciprián-Sánchez, J. F. et al. (2020). Deep Learning model for wildfire detection through the fusion of visible and infrared information [Poster Presentation]. Neural Information Processing Systems Conference: LatinX in AI (LXAI) Research Workshop 2020, Virtual. https://research.latinxinai.org/papers/neurips/2020/pdf/Ciprian-Sanchez_short_5.pdf |
| 6 | Severe Weather Prediction Using Lightning Data Applications Oral | Venzor, Iván*; ahmed, nadia; Molina, Maria J; Slipski, Marek | |  | | Venzor, I. et al. (2020). Severe Weather Prediction Using Lightning Data [Oral Presentation]. Neural Information Processing Systems Conference: LatinX in AI (LXAI) Research Workshop 2020, Virtual. https://research.latinxinai.org/papers/neurips/2020/pdf/venzor_longpresentation_6.pdf |
| 7 | Private Reinforcement Learning with PAC and Regret Guarantees Reinforcement Learning Oral | Vietri, Giuseppe*; Balle, Borja; Krishnamurthy, Akshay; Wu, Steven | |  | | Vietri, G. et al. (2020). Private Reinforcement Learning with PAC and Regret Guarantees [Oral Presentation]. Neural Information Processing Systems Conference: LatinX in AI (LXAI) Research Workshop 2020, Virtual. https://research.latinxinai.org/papers/neurips/2020/pdf/Vietri_longtalk_7.pdf |
| 8 | Semantic Segmentation of Jet Fire Temperature Zones using Deep Learning Deep Learning Poster | Pérez Guerrero, Carmina; Ciprián Sánchez, Jorge F*; Méndez Ruiz, Mauricio; Ochoa Ruiz, Gilberto | |  | | Ciprián Sánchez, J. F. et al. (2020). Semantic Segmentation of Jet Fire Temperature Zones using Deep Learning [Poster Presentation]. Neural Information Processing Systems Conference: LatinX in AI (LXAI) Research Workshop 2020, Virtual. https://research.latinxinai.org/papers/neurips/2020/pdf/Perez-Guerrero_Short_8.pdf |
| 9 | Safety Aware Reinforcement Learning (SARL) Applications Poster | Miret, Santiago; Majumdar, Somdeb; Wainwright, Carroll | |  | | Miret, S. et al. (2020). Safety Aware Reinforcement Learning (SARL) [Poster Presentation]. Neural Information Processing Systems Conference: LatinX in AI (LXAI) Research Workshop 2020, Virtual. https://research.latinxinai.org/papers/neurips/2020/pdf/Miret_ShortPresentation_Paper9.pdf |
| 10 | Model Misspecification in Multiple Weak Supervision Machine Learning Oral | Rühling Cachay, Salva; Boecking, Benedikt; Dubrawski, Artur | |  | | Rühling Cachay, S. et al. (2020). Model Misspecification in Multiple Weak Supervision [Oral Presentation]. Neural Information Processing Systems Conference: LatinX in AI (LXAI) Research Workshop 2020, Virtual. https://research.latinxinai.org/papers/neurips/2020/pdf/R%C3%BChling-Cachay_LONG_10.pdf |
| 12 | Inferring Aggressive Driving Behavior from Smartphone Data – Smartphone’s sensors meet Inception Deep Learning Poster | Narváez, Aarón; González, Luis C*; Wahlström, Johan | |  | | González, L. C. et al. (2020). Inferring Aggressive Driving Behavior from Smartphone Data – Smartphone’s sensors meet Inception [Poster Presentation]. Neural Information Processing Systems Conference: LatinX in AI (LXAI) Research Workshop 2020, Virtual. https://doi.org/10.52591/lxai202012127 |
| 13 | Learning a causal structure: a Bayesian Random Graph approach Machine Learning Oral | Gonzalez-Soto, Mauricio; Feliciano-Avelino, Ivan R*; Sucar, Luis E*; Escalante Balderas, Hugo J* | |  | | Gonzalez-Soto, M. et al. (2020). Learning a causal structure: a Bayesian Random Graph approach [Oral Presentation]. Neural Information Processing Systems Conference: LatinX in AI (LXAI) Research Workshop 2020, Virtual. https://doi.org/10.52591/lxai202012121 |
| 18 | Robust Asynchronous and Network-Independent Cooperative Learning Machine Learning Poster | Mojica-Nava, Eduardo; Yanguas-Rojas, David; Uribe, Cesar A* | |  | | Uribe, C. A. et al. (2020). Robust Asynchronous and Network-Independent Cooperative Learning [Poster Presentation]. Neural Information Processing Systems Conference: LatinX in AI (LXAI) Research Workshop 2020, Virtual. https://research.latinxinai.org/papers/neurips/2020/pdf/Mojica-Nava_Shortpresentation_Paper_18.pdf |
| 19 | Revisiting Rainbow: Promoting more insightful and inclusive deep reinforcement learning research Reinforcement Learning Poster | Obando Ceron, Johan S*; Castro, Pablo S* | |  | | Obando Ceron, J. S. et al. (2020). Revisiting Rainbow: Promoting more insightful and inclusive deep reinforcement learning research [Poster Presentation]. Neural Information Processing Systems Conference: LatinX in AI (LXAI) Research Workshop 2020, Virtual. https://research.latinxinai.org/papers/neurips/2020/pdf/Obando_poster_19.pdf |
| 21 | Quantum Machine Learning concepts and applications Machine Learning Poster | Iyer, Vijayasri; Orduz-Ducuara, Javier A* | |  | | Orduz-Ducuara, J. A. et al. (2020). Quantum Machine Learning concepts and applications [Poster Presentation]. Neural Information Processing Systems Conference: LatinX in AI (LXAI) Research Workshop 2020, Virtual. https://research.latinxinai.org/papers/neurips/2020/pdf/JavierOrduz_short.pdf |
| 23 | Inspecting state of the art performance and NLP metrics in image-based medical report generation Deep Learning Poster | Pino, Pablo; Parra, Denis; Messina, Pablo; Besa, Cecilia; Uribe, Sergio | |  | | Pino, P. et al. (2020). Inspecting state of the art performance and NLP metrics in image-based medical report generation [Poster Presentation]. Neural Information Processing Systems Conference: LatinX in AI (LXAI) Research Workshop 2020, Virtual. https://doi.org/10.52591/lxai202012128 |
| 27 | Automatic Georeferencing of Map Images Using Unsupervised Learning and Graph Analysis Applications Poster | Arriaga-Varela, Enrique; Takahashi, Toru | |  | | Arriaga-Valera, E. et al. (2020). Automatic Georeferencing of Map Images Using Unsupervised Learning and Graph Analysis [Poster Presentation]. Neural Information Processing Systems Conference: LatinX in AI (LXAI) Research Workshop 2020, Virtual. https://doi.org/10.52591/lxai202012129 |
| 32 | A Quaternion Monogenic Layer Resilient to Large Brightness Changes in Image Classification Deep Learning Poster | Sánchez, Abraham; Moya-Sánchez, E*; Xambó, Sebatiá; Salazar-Colores, Sebastián; Cortés, Ulises | |  | | Moya-Sánchez, E. et al. (2020). A Quaternion Monogenic Layer Resilient to Large Brightness Changes in Image Classification [Poster Presentation]. Neural Information Processing Systems Conference: LatinX in AI (LXAI) Research Workshop 2020, Virtual. https://research.latinxinai.org/papers/neurips/2020/pdf/moya_short_32.pdf |
| 33 | Unsupervised Difficulty Estimation with Action Scores Deep Learning Oral | Arriaga, Octavio; Valdenegro-Toro, Matias | |  | | Valdenegro-Toro, M. et al. (2020). Unsupervised Difficulty Estimation with Action Scores [Oral Presentation]. Neural Information Processing Systems Conference: LatinX in AI (LXAI) Research Workshop 2020, Virtual. https://research.latinxinai.org/papers/neurips/2020/pdf/Arriaga-Valdenegro_LongPresentation_33.pdf |
| 34 | Automatic Detection and Classification of Tick-borne Skin Lesions using Deep Learning Deep Learning Poster | Pfeifer, Lauren M*; Valdenegro-Toro, Matias | |  | | Pfeifer, L. M. et al. (2020). Automatic Detection and Classification of Tick-borne Skin Lesions using Deep Learning [Poster Presentation]. Neural Information Processing Systems Conference: LatinX in AI (LXAI) Research Workshop 2020, Virtual. https://research.latinxinai.org/papers/neurips/2020/pdf/Pfeifer_ValdenegroToro_ShortPres_34.pdf |
| 39 | Forget About the LiDAR: Self-Supervised Depth Estimators with MED Probability Volumes Deep Learning Oral | Gonzalez, Juan L*; Kim, Munchurl | |  | | Gonzalez, J. L. et al. (2020). Forget About the LiDAR: Self-Supervised Depth Estimators with MED Probability Volumes [Oral Presentation]. Neural Information Processing Systems Conference: LatinX in AI (LXAI) Research Workshop 2020, Virtual. https://research.latinxinai.org/papers/neurips/2020/pdf/gonzalezbello_longpresentation_39.pdf |
| 40 | An evaluation metric for generative models using hierarchical clustering Deep Learning Oral | Carvalho, Gustavo Sutter; Ponti, Moacir | |  | | Carvalho, G. S. et al. (2020). An evaluation metric for generative models using hierarchical clustering [Oral Presentation]. Neural Information Processing Systems Conference: LatinX in AI (LXAI) Research Workshop 2020, Virtual. https://research.latinxinai.org/papers/neurips/2020/pdf/Carvalho_Long_40.pdf |
| 42 | Covariate Shift Adaptation in High-Dimensional and Divergent Distributions Machine Learning Poster | Polo, Felipe M*; Vicente, Renato | |  | | Polo, F. M. et al. (2020). Covariate Shift Adaptation in High-Dimensional and Divergent Distributions [Poster Presentation]. Neural Information Processing Systems Conference: LatinX in AI (LXAI) Research Workshop 2020, Virtual. https://research.latinxinai.org/papers/neurips/2020/pdf/polo_short_42.pdf |
| 45 | Towards forensic speaker identification in Spanish using triplet loss Deep Learning Poster | Maqueda, Emmanuel; Álvarez Jiménez, Javier; Meza Ruiz, Ivan V* | |  | | Meza Ruiz, I. V. et al. (2020). Towards forensic speaker identification in Spanish using triplet loss [Poster Presentation]. Neural Information Processing Systems Conference: LatinX in AI (LXAI) Research Workshop 2020, Virtual. https://doi.org/10.52591/lxai2020121210 |
| 46 | Generative Adversarial Stacked Autoencoders Deep Learning Oral | Ruiz-Garcia, Ariel; Almakky, Ibrahim; Palade, Vasile; Hicks, Luke | |  | | Ruiz-Garcia, A. et al. (2020). Generative Adversarial Stacked Autoencoders [Oral Presentation]. Neural Information Processing Systems Conference: LatinX in AI (LXAI) Research Workshop 2020, Virtual. https://research.latinxinai.org/papers/neurips/2020/pdf/Ariel_RuizGarcia_long_46.pdf |
| 47 | Binary Segmentation of Seismic Facies Using Encoder-Decoder Neural Networks Deep Learning Oral | Lima, Gefersom; Ramos, Gabriel; Rigo, Sandro; Zeiser, Felipe; da Silveira, Ariane | |  | | Lima, G. et al. (2020). Binary Segmentation of Seismic Facies Using Encoder-Decoder Neural Networks [Oral Presentation]. Neural Information Processing Systems Conference: LatinX in AI (LXAI) Research Workshop 2020, Virtual. https://research.latinxinai.org/papers/neurips/2020/pdf/lima_long_presentation_47.pdf |
| 48 | Self-Supervised Transformers for Activity Classification using Ambient Sensors Machine Learning Poster | Hicks, Luke; Palade, Vasile; Almakky, Ibrahim; Ruiz-Garcia, Ariel | |  | | Hicks, L. et al. (2020). Self-Supervised Transformers for Activity Classification using Ambient Sensors [Poster Presentation]. Neural Information Processing Systems Conference: LatinX in AI (LXAI) Research Workshop 2020, Virtual. https://doi.org/10.52591/lxai2020121211 |
| 49 | Predicting metrical patterns in Spanish poetry with language models Natural Language Processing Poster | de la Rosa, Javier; González Blanco, Elena; Ros, Salvador | |  | | De La Rosa, J. et al. (2020). Predicting metrical patterns in Spanish poetry with language models [Poster Presentation]. Neural Information Processing Systems Conference: LatinX in AI (LXAI) Research Workshop 2020, Virtual. https://doi.org/10.52591/lxai2020121212 |
| 50 | Study, Attend and Predict: Academic Performance Prediction using Transformers Applications Oral | Araque, Nicolas; Catapano, Mario; Gennaro, Massimo | |  | | Araque, N. et al. (2020). Study, Attend and Predict: Academic Performance Prediction using Transformers [Oral Presentation]. Neural Information Processing Systems Conference: LatinX in AI (LXAI) Research Workshop 2020, Virtual. https://doi.org/10.52591/lxai202012122 |
| 51 | Performance Variability in Zero-Shot Classification Deep Learning Oral | Molina, Matías; Sánchez, Jorge | |  | | Molina, M. et al. (2020). Performance Variability in Zero-Shot Classification [Oral Presentation]. Neural Information Processing Systems Conference: LatinX in AI (LXAI) Research Workshop 2020, Virtual. https://doi.org/10.52591/lxai202012123 |
| 52 | Robust Optimization over Networks Using Distributed Restarting of Accelerated Dynamics Machine Learning Oral | Ochoa, Daniel E*; Poveda, Jorge I*; Uribe, César A*; Quijano, Nicanor | |  | | Ochoa, D. E. et al. (2020). Robust Optimization over Networks Using Distributed Restarting of Accelerated Dynamics [Oral Presentation]. Neural Information Processing Systems Conference: LatinX in AI (LXAI) Research Workshop 2020, Virtual. https://research.latinxinai.org/papers/neurips/2020/pdf/ochoa_longtalk_52.pdf |
| 53 | Overcoming Transformer Fine-Tuning process to improve Twitter Sentiment Analysis for Spanish Dialects Natural Language Processing Oral | Palomino, Daniel | |  | | Palomino, D. (2020). Overcoming Transformer Fine-Tuning process to improve Twitter Sentiment Analysis for Spanish Dialects [Oral Presentation]. Neural Information Processing Systems Conference: LatinX in AI (LXAI) Research Workshop 2020, Virtual. https://doi.org/10.52591/lxai202012124 |
| 55 | Graph Neural Networks Learn Twitter Bot Behaviour Machine Learning Poster | Orozco, Albert M*; Lévy, Sacha; Rabbany, Reihaneh | |  | | Orozco, A. M. et al. (2020). Graph Neural Networks Learn Twitter Bot Behaviour [Poster Presentation]. Neural Information Processing Systems Conference: LatinX in AI (LXAI) Research Workshop 2020, Virtual. https://doi.org/10.52591/lxai2020121213 |
| 56 | Detecting Damaged Regions after Natural Disasters using Mobile Phone Data: The Case of Ecuador Machine Learning Oral | Castillo-López, Galo; Guaranda, María-Belén; Layedra, Fabricio; Vaca, Carmen | |  | | Guaranda, M. et al. (2020). Detecting Damaged Regions after Natural Disasters using Mobile Phone Data: The Case of Ecuador [Oral Presentation]. Neural Information Processing Systems Conference: LatinX in AI (LXAI) Research Workshop 2020, Virtual. https://doi.org/10.52591/lxai202012125 |
| 62 | Neural language models for text classification in evidence-based medicine Machine Learning Oral | Carvallo, Andrés; Parra, Denis; Rada, Gabriel; Pérez, Daniel; Vásquez, Juan; Vergara, Camilo | |  | | Carvallo, A. et al. (2020). Neural language models for text classification in evidence-based medicine [Oral Presentation]. Neural Information Processing Systems Conference: LatinX in AI (LXAI) Research Workshop 2020, Virtual. https://doi.org/10.52591/lxai202012126 |