Computationally Efficient Rule-Based Classification for Continuous Streaming Data. - Thien Le; Frederic T. Stahl; João Bártolo Gomes; Mohamed Medhat Gaber; Giuseppe Di Fatta (SGAI Conf., 2014)

A Statistical Learning Method to Fast Generalised Rule Induction Directly from Raw Measurements. - Thien Le; Frederic T. Stahl; Chris Wrench; Mohamed Medhat Gaber (ICMLA, 2016)

Towards Expressive Modular Rule Induction for Numerical Attributes. - Manal Almutairi; Frederic T. Stahl; Mathew Jennings; Thien Le; Max Bramer (SGAI Conf., 2016)

A Method of Rule Induction for Predicting and Describing Future Alarms in a Telecommunication Network. - Chris Wrench; Frederic T. Stahl; Thien Le; Giuseppe Di Fatta; Vidhyalakshmi Karthikeyan; Detlef D. Nauck (SGAI Conf., 2016)

On expressiveness and uncertainty awareness in rule-based classification for data streams. - Thien Le; Frederic T. Stahl; Mohamed Medhat Gaber; João Bártolo Gomes; Giuseppe Di Fatta (Neurocomputing, 2017)

Using INC Within Divide-and-Conquer Phylogeny Estimation. - Thien Le; Aaron Sy; Erin K. Molloy; Qiuyi (Richard) Zhang; Satish Rao; Tandy J. Warnow (AlCoB, 2019)

Advancing Divide-And-Conquer Phylogeny Estimation Using Robinson-Foulds Supertrees. - Xilin Yu; Thien Le; Sarah A. Christensen; Erin K. Molloy; Tandy J. Warnow (WABI, 2020)

Using Robinson-Foulds supertrees in divide-and-conquer phylogeny estimation. - Xilin Yu; Thien Le; Sarah A. Christensen; Erin K. Molloy; Tandy J. Warnow (Algorithms Mol. Biol., 2021)

A Frequent Pattern Conjunction Heuristic for Rule Generation in Data Streams. - Frederic T. Stahl; Thien Le; Atta Badii; Mohamed Medhat Gaber (Inf., 2021)

Using Constrained-INC for Large-Scale Gene Tree and Species Tree Estimation. - Thien Le; Aaron Sy; Erin K. Molloy; Qiuyi Zhang 001; Satish Rao; Tandy J. Warnow (IEEE ACM Trans. Comput. Biol. Bioinform., 2021)

Training invariances and the low-rank phenomenon: beyond linear networks. - Thien Le; Stefanie Jegelka (ICLR, 2022)

Damping TENS-Induced Essential Tremor Symptoms in Activities of Daily Living Using the TuMove Wrist Exoskeleton. - Jose Arturo Garcia-Hizuera; Natalia Paredes-Acuña; Thien Le; Benoit Auclair; Klara Tomaskovic; Nicolas Berberich; Gordon Cheng (ICORR, 2023)

Limits, approximation and size transferability for GNNs on sparse graphs via graphops. - Thien Le; Stefanie Jegelka (NeurIPS, 2023)

On the hardness of learning under symmetries. - Bobak T. Kiani; Thien Le; Hannah Lawrence; Stefanie Jegelka; Melanie Weber 001 (ICLR, 2024)

A Poincaré Inequality and Consistency Results for Signal Sampling on Large Graphs. - Thien Le; Luana Ruiz; Stefanie Jegelka (ICLR, 2024)